<?xml version='1.0' encoding='UTF-8'?>
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  <docDscr>
    <citation>
      <titlStmt>
        <titl>
          Socio Economic Survey-(Private Farmers)-Crop-2005
        </titl>
        <IDNo>
          DDI-NGA-NBSCBNNCC-CROP-2005-v1.0
        </IDNo>
      </titlStmt>
      <prodStmt>
        <producer abbr="NBS" affiliation="NGA" role="DOCUMENTATION OF THE STUDY">
          NATIONAL BUREAU OF STATISTICS
        </producer>
        <prodDate date="2008-07-07">
          2008-07-07
        </prodDate>
        <software version="1.1" date="2009-03-19">
          Metadata Editor
        </software>
      </prodStmt>
      <verStmt>
        <version>
          Version 1.0 (2008)
        </version>
      </verStmt>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>
          SOCIO ECONOMIC SURVEY, CROP-2005 (PRIVATE FARMERS)
        </titl>
        <subTitl>
          Second round
        </subTitl>
        <altTitl>
          CROP
        </altTitl>
        <parTitl>
          No Translation
        </parTitl>
        <IDNo>
          NGA-NBS-CBN-NCC-CROP-2005
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty>
          National Bureau of Statistics (Nbs)
        </AuthEnty>
        <AuthEnty>
          <![CDATA[Central  Bank of Nigeria (CBN)]]>
        </AuthEnty>
        <othId affiliation="NCC">
          <p>
            Nigerian Commnications Commision
          </p>
        </othId>
      </rspStmt>
      <prodStmt>
        <producer abbr="NBS">
          National Bureau of Statistics
        </producer>
        <producer/>
        <copyright>
          (c)NBS 2007
        </copyright>
        <software version="1.1" date="2009-03-19">
          Metadata Editor
        </software>
        <fundAg abbr="NBS">
          National Bureau of Statistics
        </fundAg>
        <fundAg abbr="CBN">
          <![CDATA[Central  Bank of Nigeria]]>
        </fundAg>
      </prodStmt>
      <distStmt>
        <contact affiliation="Director Census &amp; Surveys" URI="http://www.nigerianstat.gov.ng" email="georgeadewoye@yahoo.com">
          DR G.O. Adewoye
        </contact>
        <contact affiliation="Head of  Information and Comnucation Technology Department" URI="http://www.nigerianstat.gov.ng" email="aanadewimbi@yahoo.com">
          Mrs A.N. Adewimbi
        </contact>
        <contact affiliation="Data Curator" URI="http://www.nigerianstat.gov.ng" email="biyifafunmi@nigerianstat.gov.ng">
          Biyi Fafunmi
        </contact>
        <contact affiliation="Data Archivist" URI="http://www.nigerianstat.gov.ng" email="paakinsanya@nigerianstat.gov.ng">
          Mrs A. A. Akinsanya
        </contact>
      </distStmt>
      <serStmt>
        <serName>
          Agricultural Survey [ag/oth]
        </serName>
        <serInfo>
          <![CDATA[This Private Farmers (CROP) is the 2nd in the series of Collaborative effort of the National Bureau of Statistics (NBS), Central Bank of Nigeria (CBN) and the Nigeria Communications Commission previously conducted in 2004, and2005 being the current one then.  However the CROP is a regular survey of the National Bureau of Statistics conducted on annual basis before the collaboration was initiated.]]>
        </serInfo>
      </serStmt>
      <verStmt>
        <version date="2008-07-07">
          <![CDATA[Holding Character.
Sources of funds.
Area Harvested.
Agric Machinery.
Production.
Farm Expenditure.
Processing Facilities.
Storage  Facilities.
Employment in  Agric.
Farm Expenditure.
Sales.
Consumption.
Market Channels.
Input equipment.
Problem and suggestion.]]>
        </version>
      </verStmt>
    </citation>
    <stdyInfo>
      <subject>
        <keyword vocab="LGA">
          Local Government Area
        </keyword>
        <keyword vocab="EA">
          Enumeration Area
        </keyword>
        <keyword vocab="RIC">
          Replicate Identification Code
        </keyword>
        <keyword vocab="HU NO ">
          Housing Unit Number
        </keyword>
        <keyword vocab="HHNO ">
          <![CDATA[House Hold  Number]]>
        </keyword>
        <keyword vocab="HH">
          House Hold
        </keyword>
        <topcClas vocab="SECTION I">
          Holding Characteristics
        </topcClas>
        <topcClas vocab="SECTION II">
          Access to Land
        </topcClas>
        <topcClas vocab="SECTION III">
          Access to Credit and Funds Used
        </topcClas>
        <topcClas vocab="SECTION IV">
          Sources of inputs/equipment
        </topcClas>
        <topcClas vocab="SECTION Va">
          Production input utilization; quantity and cost
        </topcClas>
        <topcClas vocab="SECTION Vb">
          Production input utilization; quantity and cost
        </topcClas>
        <topcClas vocab="SECTION Vc">
          Input utilization; quantity and cost
        </topcClas>
        <topcClas vocab="SECTION VI">
          Other Farm Expenditures
        </topcClas>
        <topcClas vocab="SECTION VIIa">
          Persons engaged in crop farming
        </topcClas>
        <topcClas vocab="SECTION VIIb">
          Wages of persons engaged in crop farming
        </topcClas>
        <topcClas vocab="SECTION VIII">
          Area and Production
        </topcClas>
        <topcClas vocab="SECTION IX">
          Consumption from own production
        </topcClas>
        <topcClas vocab="SECTION X">
          Sales from own production (farmgate)
        </topcClas>
        <topcClas vocab="SECTION XI">
          Sales from own production (open market)
        </topcClas>
        <topcClas vocab="SECTION XII">
          Own processing facilities
        </topcClas>
        <topcClas vocab="SECTION XIII">
          Own storage facilities
        </topcClas>
        <topcClas vocab="SECTION XIV">
          Market Channel
        </topcClas>
        <topcClas vocab="SECTION XV">
          Impressionistic Questions
        </topcClas>
      </subject>
      <abstract>
        <![CDATA[The Private Farmer Survey(CROP) is part of the brainchild of the National Bureau of Statistics (NBS) and is often referred to as Regular survey carried out on annual basis by the NBS over the years. In recent times, starting from 2004, there is a collaborative effort between the NBS and the CBN in 2004 and 2005 till now the collaboration incorporated Nigerian Communications commission (NCC).  The main reason of for conducting the survey was to enable the collaborating agencies fulfil their mandate in the production of current and credible statistics, to monitor and evaluate the status of the economy and the various government programmes such as the National Economic Empowerment and Development Strategy (NEEDS) and the Millennium Development Goals (MDGs).  

The collaborative survey also assured the elimination of conflicts in data generated by the different agencies and ensured a reliable, authentic national statistics for the country.]]>
      </abstract>
      <sumDscr>
        <timePrd date="2005-08-01" event="start" cycle="20 days"/>
        <timePrd date="2005-08-19" event="end" cycle="20 days"/>
        <collDate date="2005-08-01" event="start" cycle="20 days"/>
        <collDate date="2005-08-19" event="end" cycle="20 days"/>
        <nation abbr="NGA">
          Nigeria
        </nation>
        <geogCover>
          National
        </geogCover>
        <anlyUnit>
          Household who engage in crop farming
        </anlyUnit>
        <universe>
          The survey covered all the household members who were into crop production.
        </universe>
        <dataKind>
          Sample survey data [ssd]
        </dataKind>
      </sumDscr>
      <notes>
        <![CDATA[Area Harvested.
Agric Machinery.
Production.
Farm Expenditure.
Processing Facilities.
Storage  Facilities.
Employment in  Agric.
Farm Expenditure.
Sales.
Consumption.
Market Channels.
Livestock Farming.
Fish Farming.]]>
      </notes>
    </stdyInfo>
    <method>
      <dataColl>
        <dataCollector abbr="NBS" affiliation="FEDRAL GOVERNMENT OF NIGERIA">
          NATIONAL BUREAU OF STATISTICS
        </dataCollector>
        <sampProc>
          <![CDATA[ National Agricultural Sample Survey (Private Farmers Questionnaire Survey) samples were derived from the National Bureau of Statistics 2000/05 NISH sample design. The NISH employed a 2-stage, replicated and rotated cluster sample design with enumeration areas (EAs) as first stage sampling units [Primary Sampling Units (PSU)], while the housing units constituted the second stage sampling units [Secondary Sampling Units].  The housing units were the ultimate sampling units for the multi-subject survey.

The Private Farmers' Survey total sample size was 10,950 Farming Housing Units. In each State, the housing units were stratified into Farming and Non-Farming.  Five housing units were systematically selected in each Enumeration Area.  A sample size of 300 farming housing units was drawn from each State and 150 from FCT, Abuja. The total sample size of 10,950 could provide estimates at national and State levels.

For the NASS (Private Farmers), 5 farming housing Unit (FHUs) were selected systematically after stratifying the housing units into farming and non-farming housing units where all the holders within the selected farming housing units were interviewed using the private farmers questionnaires.

	Estimation Procedures:
Let the probability of selecting the EA be fj and the probability of selecting the housing unit be fk.  Then the product f = fjfk =  1  where fj = n and fk = h
                                                        Wj k        N                  H.

	For NASS (Private Farmers)
 ^                n          h
 Ys =   N      S    FH    S   x s j k
           n    j=1  m   k=1

                       n           m
=	N   FH     S         S    xs j k
	n   h     j=1       k=1

                                 n        h
	=	Ws j k   S        S     x s j k
		           j=1     k=1

	           ^
Where  Ys is the state Estimate

	N    =	Total number of EAs in the 5th State
	n    =	Selected number of EAs in 5th State
	FH   = Total number of farming housing units listed.
	M    =	Selected number of farming housing units
Xsjk is the value of the element of farming housing unit (FHUs) in the kth housing unit of jth EA in the 8th State.
Ws j k is the weight.


.	National Estimate:
^          37     ^
YN  =     S      Ys
            s=1

		 ^                                            ^ 
	Where  YN  is the National Estimate and Ys is the state Estimate.

	Variance Estimate (Jackknife Method)

To estimate variances using the Jackknife method will require forming replicate from the full sample by randomly eliminating one sample cluster [Enumeration Area (EA] at a time from a state containing k EAs, k replicated estimates are formed by eliminating one of these, at a time, and increasing the weight of the remaining (k-1) EAs by a factor of k/(k=1).  This process is repeated for each EA.

For a given state or reporting domain, the estimate of the variance of a rate, r, is given by 
                                       k
Var(r ) = (Se)2 =   1          S     (ri - r)2 where (Se) is the standard error, k is 
                         K(k-1)    i=1

The number of EAs in the state of reporting domain.

r is the weighted estimate calculated from the entire sample of EAs in the state or reporting domain.  
ri   is equal to kr = (k-1) r(i) , where

r(i) is the re-weight estimate calculated from the reduced sample of k-1 EAs.

To obtain an estimate of the variance at a higher level, say, at the national level, the process is repeated over all states, with k redefined to refer to the total number of EAs (as opposed to the number in the states).]]>
        </sampProc>
        <collMode>
          Face-to-face [f2f]
        </collMode>
        <resInstru>
          The questionnaire for the Private Farmers (CROP) is a structured questionnaire based on household characteristics with some modifications and additions.
        </resInstru>
        <sources/>
        <collSitu>
          <![CDATA[The data collection arrangement which was implemented adopted two approaches.
The first approach - the household component - involved using 3 teams to conduct the survey. Each team was made up of one supervisor and four interviewers, and covered 20 Enumeration Areas in a raving manner. A pair of interviewers covered 10 Enumeration Areas, with an average of 2 days allocated to administer the General Household Survey and Private Farmers Questionnaires.  Twenty days were given as the period for data collection.

The second approach involved lodgement and retrieval of questionnaires for both NISE and SAS operations.  Two officers (1 NBS, 1 CBN) were involved in each State, but Lagos used 6 NBS and 6 CBN officers, while Rivers and Kano used 3 NBS and 1 CBN officers each.  Altogether, 480 enumerators and 110 supervisors from NBS as well as 
37 CBN staff participated in field survey.]]>
        </collSitu>
        <actMin>
          <![CDATA[		TRAINING
Training for the survey was designed to be at two levels. The first level involved the Training of Trainers (TOT), which was done in 2 days and  included the senior officers from the NBS and the CBN. The second level training was undertaken at the State level for the field staff (supervisors, enumerators, State officers and zonal controllers). This exercise covered a period of 3 days. 
The training sessions included classroom teaching, power-point presentations, mock interviews, role playing, field practice and home exercises. The TOT was comprehensive and efficient, with the overall aim of collecting good quality data.


		QUALITY CONTROL AND RETRIEVAL OF RECORDS
As part of efforts to ensure reliable results, a quality control programme was adopted during the data collection stage.  There were three layers of supervision involving - the supervisors at the first layer, a combination of NBS and CBN State officers and Zonal Controllers at the second, and NBS headquarters staff at the third.

Eight quality control instruments were also developed.  NBS and CBN staff reported on the supervision and monitoring efforts during the period of the data collection.  Retrieval of records was implemented in two stages. The first level coincided with the second layer of supervision and monitoring, while the second level was undertaken by NBS headquarters staff. Furthermore, a mop-up exercise was done by NBS State officers for 2 weeks after the scheduled period of data collection, due to low response rate of the NISE and SAS survey questionnaires in the field.  The retrieval position of General Household Survey and Private Farmers and Modern Holding Questionnaires are shown in Tables 1.4 and 1.5 respectively.  Tables 1.6 and 1.7 reflect the retrieval position of Establishment-based Survey and the System of Administrative Statistics.  The retrieval status of both General Household Survey and Private Farmers Questionnaire was very high ranging from 85 to 95 percent.  The response rate for NISE sectoral operations varied between 60 to 70 percent.  The retrieval rate for the System of Administrative Statistics, which involved more of government establishments, was fairly encouraging.  Table 1.8 shows the returns on corporate non-financial.  


1.10		REPORT WRITING ARRANGEMENT
The report writing arrangement involved preparation for the report writing, through development of tabulation plans and report writing format or outline. A core team of senior officers from the subject-matter divisions in the NBS and CBN worked together to produce the draft report for finalization.

1.11		WORK PROGRAMME
A joint data production programme by the agencies resulted in the scheduling of activities.  Table 1.9 reflects the work programme, which was used as a monitoring guide for the survey.  It also helped in programme discipline at each level of activity.  The work programme was revised to accommodate delays in the retrieval of completed records in the field, especially for NISE and SAS operations.  
Overall, the survey was well managed.]]>
        </actMin>
        <cleanOps>
          <![CDATA[DATA PROCESSING/ANALYSIS PLAN
The data processing and analysis plan involved five main stages: training of data processing staff; manual editing and coding; development of data entry programme; data entry and editing and tabulation. Integrated Micro Prossor System (IMPS) and ACCESS software were used for data entry, Statistical Package for Social Sciences (SPSS) and Censuses and Surveys Processing System (CSPro) for editing and a combination of SPSS, Statistical Analysis Software (SAS) and EXCEL for table generation.   The subject-matter specialists and computer personnel from the NBS and CBN implemented the data processing work.  Tabulation Plans were equally developed by these officers for their areas and topics covered in the three-survey system used for the exercise.
The data editing is in 2 phases namely manual editing before the data entry were done. This involved using editors at the various zones to manually edit and ensure consistency in the information on the questionnaire. The second editing is the computer editing, this is the cleaning of the already enterd data.
The completed questionnaires were collated and edited manually
(a)  Office editing and coding were done by the editor using visul contro of the questionnaire before data entry
(b)  Imps was used to design the data entry template provided as external resource
(c)  Ten operator plus two suppervissor and two progammer were used
(d)  Ten machines were used for data entry 
(e)  After data entry data entry supervisor runs fequency on each section to see that all the questionnaire were enterd
(f)   Conversion progarm was written to convert the data to spss also provided.]]>
        </cleanOps>
      </dataColl>
      <notes>
        <![CDATA[The data processing analysis involved Six main stages: 
Development of data entry program with IMPS;
 Training of data processing staff;
 Manual editing and coding;
 Data entry; 
 Computer editing, verification and conversion
 Table generation. 
 The questionnaires were processed at the zones. On completion, computer editing was also carried out to ensure the integrity of the data.     
 SPSS (a Statistical package) was used in the analysis and Table generation.]]>
      </notes>
    </method>
    <dataAccs>
      <useStmt>
        <confDec required="yes">
          <![CDATA[The confidentiality of the individual respondent is protected by law (Statistical Act 2007)
This is published in the Official Gazette of the Federal republic of Nigeria No. 60 vol. 94 of 11th June 2007. See section 26 para.2. Punitive measures for breeches of confidentiality are outlined in section 28 of the same Act.]]>
        </confDec>
        <contact URI="http://www.nigerianstat.gov.ng" email="feedback@nigerianstat.gov.ng">
          National Bureau of Statistics (NBS)
        </contact>
        <citReq>
          National Bureau of Statistics (NBS) Socio Economic Survey,CROP- 2005 (PRIVATE FARMERS)
        </citReq>
        <conditions>
          A comprehensive data access policy is been developed by NBS, however section 27 of the Statistical Act 2007outlines the data access obligation of data producers which includes the realease of properly anonymized micro data.
        </conditions>
        <disclaimer>
          The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
        </disclaimer>
      </useStmt>
    </dataAccs>
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      <fileName>
        HH_CHARACTER.NSDstat
      </fileName>
      <fileCont>
        <![CDATA[This Section Household Characteristic Of Private Holding Questionnaire Contains The Following Items: 
State
Local Government Area
Replicate Code
Enumiration Area Code
Household Serial Number 
Age Of Holder
Highest Level Of Education Attained
Size Of Holders]]>
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        Checking of all invalids codes were corrected.
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        All missing Data is blank.
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        SOURCES OF FUNDS_PRODUCTION.NSDstat
      </fileName>
      <fileCont>
        <![CDATA[This Section Sources Of Funds Production Of Private Holding Questionnaire Contains The Following Items: 
OWN FUND
RETAINED PROFIT 
BANKS
SOCIAL CAPITAL
NACRDB
SHORT TERM PRIVATE LOAN
OTHERS SOURCES]]>
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        Checking of all invalids codes were corrected.
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      <fileName>
        CONSUMPTION 1.NSDstat
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      <fileCont>
        <![CDATA[This Section Consumption Of (prvate farmer) Holding Questionnaire Contains The Following Items:
Crop Code
QUANTITY SOLD
WEIGHT SOLD
PRICE PER FOR LOCAL UNIT
NO. OF LOCAL UNIT CONSUMED
WEIGHT CONSUMED]]>
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        <![CDATA[This Section Agric-Machinery Of (prvate farmer) Holding Questionnaire Contains The Following Items:
 The farm inputs/implements use for ploughing,
  Hoe 
  Cutlass 
  Animal Drawn Plough 
  Motorised Plough  
  Others to be specify]]>
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        <![CDATA[This Section Enployment Of (private farmer) Holding Questionnaire Contains The Following Items:
PERIOD CODE(JAN-DEC) 
TOTAL NO. OF  PERSON ENGAGED
NO. OF MALE PERSON ENGAGED
NO. OF FEMALE PERSONS ENGAGED
TOTAL NO. OF  WORKING PROPRIIETORS
NO. OF MALE WORKING PROPRIETORS
NO. OF FEMALE WORKING PROPRIETORS
TOTAL NO. OF UNPAID FAMILY MEMBER
NO. OF UNPAID MALE FAMILY MEMBER
NO. OF UNPAID FEMALE FAMILY MEMBER
TOTAL NO. OF PAID EMPLOYEE MEMBER
NO. OF MALE PAID EMPLOYEE  MEMBER
NO. OF FEMALE PAID EMPLOYEE  MEMBER
TOTAL WAGE PAID
TOTAL NO. OF APPRENTICES
NO. OF MALE APPRENTICES
NO. OF FEMALE APPRENTICES]]>
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        Checking of all invalids codes were corrected.
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        <![CDATA[This Section Area And Production Of Private Holding Questionnaire Contains The Following Items: 
CROP CODE
AREA IN HECTARES
PRODUCTION IN KILOGRAM]]>
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      <dataChck>
        Checking of all invalids codes were corrected.
      </dataChck>
      <dataMsng>
        All missing Data is blank.
      </dataMsng>
      <verStmt>
        <version>
          Version 1.0:
        </version>
      </verStmt>
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  </fileDscr>
  <fileDscr ID="F7" URI="NBSCBNNCC-CROP-2005.Nesstar?Index=6&amp;Name=FARM EXPENDITURE_PRODUCTION">
    <fileTxt>
      <fileName>
        FARM EXPENDITURE_PRODUCTION.NSDstat
      </fileName>
      <fileCont>
        <![CDATA[This Section Farm Expenditure Production Of (Prvate Farmer) Holding Questionnaire Contains The Following Items:
Crop Code
QUANTITY SOLD
WEIGHT SOLD
PRICE PER FOR LOCAL UNIT
NO. OF LOCAL UNIT CONSUMED
WEIGHT CONSUMED]]>
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F2 F3 F5 F9 F10 F15 F16 F19 F21 F22 F23 F24" keyvar="V113"/>
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      <dimensns>
        <caseQnty>
          5880
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        <varQnty>
          14
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      <fileType>
        Nesstar 200401
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      <filePlac>
        National Bureau of Statistics, Nigeria
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      <dataChck>
        Checking of all invalids codes were corrected.
      </dataChck>
      <dataMsng>
        All missing Data is blank.
      </dataMsng>
      <verStmt>
        <version>
          Version 1.0:
        </version>
      </verStmt>
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  </fileDscr>
  <fileDscr ID="F15" URI="NBSCBNNCC-CROP-2005.Nesstar?Index=7&amp;Name=OWN_PROCESSING">
    <fileTxt>
      <fileName>
        OWN_PROCESSING.NSDstat
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      <fileCont>
        <![CDATA[This Section Own Processing Of (prvate farmer) Holding Questionnaire Contains The Following Items:
FACILITIES CODES OF:
1	MORTAR
2	THRESHING
3	RICE MILLS
4	FLOUR MILLS
5	GRAIN MILLS
6	THRESHERS
7	DRYERS
8	BLOWERS
9	COTTON GINNERY
10	PALM OIL MILL
11	PALM KERNEL CRUS
12	CASSAVA GRATER
13	CASSAVA FRYER
14	RUBBER PROC. EQUIPMENT
15	COCOA PROC EQUIP
16	PEELING MACHING
17	OTHERS
AVAILABLE CAPACITY
UTILIZED CAPACITY]]>
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      <fileStrc type="relational">
        <recGrp recGrp="F2 F3 F5 F7 F9 F10 F16 F19 F21 F22 F23 F24" keyvar="V233"/>
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      <dimensns>
        <caseQnty>
          2571
        </caseQnty>
        <varQnty>
          11
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200401
      </fileType>
      <filePlac>
        National Bureau of Statistics, Nigeria
      </filePlac>
      <dataChck>
        Checking of all invalids codes were corrected.
      </dataChck>
      <dataMsng>
        All missing Data is blank.
      </dataMsng>
      <verStmt>
        <version>
          Version 1.0:
        </version>
      </verStmt>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F22" URI="NBSCBNNCC-CROP-2005.Nesstar?Index=8&amp;Name=SOURCES OF INPUTS_EQUIPMENT">
    <fileTxt>
      <fileName>
        SOURCES OF INPUTS_EQUIPMENT.NSDstat
      </fileName>
      <fileCont>
        <![CDATA[This Section Sources Of Inputs Equipment Of (prvate farmer) Holding Questionnaire Contains The Following Items:
INPUT/EQUIPMENT OF:
1	SEEDLING
2	FERTILIZER
3	HERBICIDES
4	PESTICIDES
5	HARROW
6	PLOUGH
7	RIDGER
8	OX_DRAWN PLOUGH
9	HOE
10	CUTLASS
11	OTHERS
MINISTRY
AGRO SERVICES CENTER
FARM SERVICES CENTER
COOPERATIVE SOCIETY
LOCAL MARKET
OTHER SERVICES]]>
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      <fileStrc type="relational">
        <recGrp recGrp="F2 F3 F5 F7 F9 F10 F15 F16 F19 F21 F23 F24" keyvar="V345"/>
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      <dimensns>
        <caseQnty>
          10537
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        <varQnty>
          15
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      <fileType>
        Nesstar 200401
      </fileType>
      <filePlac>
        National Bureau of Statistics, Nigeria
      </filePlac>
      <dataChck>
        Checking of all invalids codes were corrected.
      </dataChck>
      <dataMsng>
        All missing Data is blank.
      </dataMsng>
      <verStmt>
        <version>
          Version 1.0:
        </version>
      </verStmt>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F23" URI="NBSCBNNCC-CROP-2005.Nesstar?Index=9&amp;Name=STORAGE_MARKET CHANELS">
    <fileTxt>
      <fileName>
        STORAGE_MARKET CHANELS.NSDstat
      </fileName>
      <fileCont>
        <![CDATA[This Section Storage Market Chanels Of (prvate farmer) Holding Questionnaire Contains The Following Items:
SILO AVAILABLE CAPACITY
SILO UTILIZED CAPACITY
METAL DRUM/TANK AVAILABLE CAPACITY
METAL DRUM/TANK UTILIZED CAPACITY
WAREHOUSE AVAILABLE CAPACITY
WAREHOUSE UTILIZED CAPACITY
CRIBS AVAILABLE CAPACITY
CRIIBS UTILIZED CAPACITY
BARN AVAILABLE CAPACITY
BARN UTILIZED CAPACITY
FARM STORE AVAILABLE CAPACITY
FARM STORE UTILIZED CAPACITY
IN THE FARM
IN THE MARKET
IN THE COOPERATIVE SOCIETY
DIRECT TO THE INDUSTRY
OTHERS]]>
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F2 F3 F5 F7 F9 F10 F15 F16 F19 F21 F22 F24" keyvar="V370"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          3099
        </caseQnty>
        <varQnty>
          25
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200401
      </fileType>
      <filePlac>
        National Bureau of Statistics, Nigeria
      </filePlac>
      <dataChck>
        Checking of all invalids codes were corrected.
      </dataChck>
      <dataMsng>
        All missing Data is blank.
      </dataMsng>
      <verStmt>
        <version>
          Version 1.0:
        </version>
      </verStmt>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F19" URI="NBSCBNNCC-CROP-2005.Nesstar?Index=10&amp;Name=PRODUCTION_INPUTS_A">
    <fileTxt>
      <fileName>
        PRODUCTION_INPUTS_A.NSDstat
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      <fileCont>
        <![CDATA[This Section Production Inputs A Of (prvate farmer) Holding Questionnaire Contains The Following Items:
PRODUCTION INPUT CODES OF:
1	SEED SEEDLING
2	FERTILIZER
3	HERBICIDES
4	PESTICIDES
5	INSECTICIDES
6	FUNGICIDES
7	RODENTICIDES
8	OTHERS
QUANTITY USED
PRICE
QUANTITY IN STANDARD UNITS(KG)
VALUE IN NAIRA]]>
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F2 F3 F5 F7 F9 F10 F15 F16 F21 F22 F23 F24" keyvar="V301"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          10387
        </caseQnty>
        <varQnty>
          13
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200401
      </fileType>
      <filePlac>
        National Bureau of Statistics, Nigeria
      </filePlac>
      <dataChck>
        Checking of all invalids codes were corrected.
      </dataChck>
      <dataMsng>
        All missing Data is blank.
      </dataMsng>
      <verStmt>
        <version>
          Version 1.0:
        </version>
      </verStmt>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F5" URI="NBSCBNNCC-CROP-2005.Nesstar?Index=11&amp;Name=COST OF FARMING INPUT">
    <fileTxt>
      <fileName>
        COST OF FARMING INPUT.NSDstat
      </fileName>
      <fileCont>
        <![CDATA[This Section Cost Of Farming Input Of (prvate farmer) Holding Questionnaire Contains The Following Items:
ITEM CODES
NO. OF HOURS USED
VALUE PER UNIT]]>
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F2 F3 F7 F9 F10 F15 F16 F19 F21 F22 F23 F24" keyvar="V73"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          7557
        </caseQnty>
        <varQnty>
          11
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200401
      </fileType>
      <filePlac>
        National Bureau of Statistics, Nigeria
      </filePlac>
      <dataChck>
        Checking of all invalids codes were corrected.
      </dataChck>
      <dataMsng>
        All missing Data is blank.
      </dataMsng>
      <verStmt>
        <version>
          Version 1.0:
        </version>
      </verStmt>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F10" URI="NBSCBNNCC-CROP-2005.Nesstar?Index=12&amp;Name=IMPERSSION">
    <fileTxt>
      <fileName>
        IMPERSSION.NSDstat
      </fileName>
      <fileCont>
        <![CDATA[This Section Imperssion Of (prvate farmer) Holding Questionnaire Contains The Following Items:
IS PRODUCT EXPORTED?
TO WHERE
Q12WEATHER
Q12HARVEST
Q12INCOME
Q13WEATHER
Q13HARVEST
Q13INCOME
PRICE]]>
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F2 F3 F5 F7 F9 F15 F16 F19 F21 F22 F23 F24" keyvar="V168"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          3150
        </caseQnty>
        <varQnty>
          17
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200401
      </fileType>
      <filePlac>
        National Bureau of Statistics, Nigeria
      </filePlac>
      <dataChck>
        Checking of all invalids codes were corrected.
      </dataChck>
      <dataMsng>
        All missing Data is blank.
      </dataMsng>
      <verStmt>
        <version>
          Version 1.0:
        </version>
      </verStmt>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F16" URI="NBSCBNNCC-CROP-2005.Nesstar?Index=13&amp;Name=PROBLEM_SUGGESTION_WAYS">
    <fileTxt>
      <fileName>
        PROBLEM_SUGGESTION_WAYS.NSDstat
      </fileName>
      <fileCont>
        <![CDATA[This Section Problem Suggestion Ways Of (prvate farmer) Holding Questionnaire Contains The Following Items:
HIGH COST
LACK OF TRANSPORTATION
NO MONEY/LACK OF FUND
POOR/BAD ROAD
POOR HEALTH
TOO FAR TO OBTAIN
NOT AVAILABLE/SCARCE
DON'T KNOW
OTHER PROBLEMS ENCOUNTER WHEN PURCHASING FARM TOOLS
INCREASE IRRIGATION
IMPROVED CREDIT FACILITIES
CHEAP/AFFODABLE TRACTOR SERVICES
IMPROVED SEEDLING/SEED
IMPROVED STORAGE FACILITIES
IMPROVED PROCESSING FACILITIES
GOOD PRICE POLICY/WEED-OUT OF MIDDLEMEN
OTHER HELPFUL SUGGESTION TO IMPROVING AGRICULTURAL ACTIVITIES IN THE COUNTRY
 CREDIT
 LAND
 INPUT
 INFRASTRUCTURE OTHER WAYS THAT GOVERNMENT CAN ASSIST]]>
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F2 F3 F5 F7 F9 F10 F15 F19 F21 F22 F23 F24" keyvar="V263"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          3144
        </caseQnty>
        <varQnty>
          30
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200401
      </fileType>
      <filePlac>
        National Bureau of Statistics, Nigeria
      </filePlac>
      <dataChck>
        Checking of all invalids codes were corrected.
      </dataChck>
      <dataMsng>
        All missing Data is blank.
      </dataMsng>
      <verStmt>
        <version>
          Version 1.0:
        </version>
      </verStmt>
    </fileTxt>
  </fileDscr>
  <dataDscr>
    <varGrp ID="VG1" type="subject" var="V151 V330 V384 V36 V409 V48 V113 V233 V345 V370 V301 V73 V168 V263">
      <labl>
        Identification
      </labl>
    </varGrp>
    <varGrp ID="VG2" type="subject" var="V150 V329 V383 V35 V408 V47 V112 V232 V344 V369 V300 V72 V167 V262">
      <labl>
        Renumbering
      </labl>
    </varGrp>
    <varGrp ID="VG3" type="subject" var="V376 V43 V105">
      <labl>
        Crop Code
      </labl>
    </varGrp>
    <varGrp ID="VG4" type="subject" var="V377 V106 V295">
      <labl>
        Quantity
      </labl>
    </varGrp>
    <varGrp ID="VG5" type="subject" var="V378 V381 V107 V110">
      <labl>
        Weight
      </labl>
    </varGrp>
    <var ID="V139" name="state" files="F9" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        STATE
      </labl>
      <qstn>
        <qstnLit>
          The state by state of the data.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="37"/>
      </valrng>
      <sumStat type="vald">
        3150
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        37
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Abia
        </labl>
        <catStat type="freq">
          87
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Adamawa
        </labl>
        <catStat type="freq">
          96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Akwa ibom
        </labl>
        <catStat type="freq">
          82
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Anambra
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Bauchi
        </labl>
        <catStat type="freq">
          79
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Bayelsa
        </labl>
        <catStat type="freq">
          117
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Benue
        </labl>
        <catStat type="freq">
          73
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Borno
        </labl>
        <catStat type="freq">
          95
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Cross_rivers
        </labl>
        <catStat type="freq">
          84
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Delta
        </labl>
        <catStat type="freq">
          73
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Ebonyi
        </labl>
        <catStat type="freq">
          95
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Edo
        </labl>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Ekiti
        </labl>
        <catStat type="freq">
          96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Enugu
        </labl>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Gombe
        </labl>
        <catStat type="freq">
          78
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Imo
        </labl>
        <catStat type="freq">
          96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Jigawa
        </labl>
        <catStat type="freq">
          50
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Kaduna
        </labl>
        <catStat type="freq">
          98
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Kano
        </labl>
        <catStat type="freq">
          93
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Katsina
        </labl>
        <catStat type="freq">
          70
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Kebbi
        </labl>
        <catStat type="freq">
          99
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Kogi
        </labl>
        <catStat type="freq">
          71
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Kwara
        </labl>
        <catStat type="freq">
          90
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Lagos
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Nassarawa
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Niger
        </labl>
        <catStat type="freq">
          90
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Ogun
        </labl>
        <catStat type="freq">
          76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Ondo
        </labl>
        <catStat type="freq">
          74
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Osun
        </labl>
        <catStat type="freq">
          81
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Oyo
        </labl>
        <catStat type="freq">
          65
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Plateau
        </labl>
        <catStat type="freq">
          85
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Rivers
        </labl>
        <catStat type="freq">
          149
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Sokoto
        </labl>
        <catStat type="freq">
          94
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Taraba
        </labl>
        <catStat type="freq">
          69
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Yobe
        </labl>
        <catStat type="freq">
          114
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Zamfara
        </labl>
        <catStat type="freq">
          87
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          FCT
        </labl>
        <catStat type="freq">
          89
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      </catgry>
      <varFormat type="numeric" schema="other"/>
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    <var ID="V140" name="lga" files="F9" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        LOCAL GOVT. AREA
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      <qstn>
        <qstnLit>
          The local goverment of the area in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="60"/>
      </valrng>
      <sumStat type="vald">
        3150
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        60
      </sumStat>
      <sumStat type="mean">
        11.373
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      <sumStat type="stdev">
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      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V141" name="eacode" files="F9" dcml="0" intrvl="contin">
      <location width="4"/>
      <labl>
        ENUMERATION AREA
      </labl>
      <qstn>
        <qstnLit>
          The enumeration area of the local government in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="8087"/>
      </valrng>
      <sumStat type="vald">
        3150
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8087
      </sumStat>
      <sumStat type="mean">
        244.143
      </sumStat>
      <sumStat type="stdev">
        272.432
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V142" name="ric" files="F9" dcml="0" intrvl="contin">
      <location width="4"/>
      <labl>
        REPLICATE IDENTIFICATION CODE
      </labl>
      <qstn>
        <qstnLit>
          The Replicate code of the EA in the loacl government in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="4" max="7011"/>
      </valrng>
      <sumStat type="vald">
        3150
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        4
      </sumStat>
      <sumStat type="max">
        7011
      </sumStat>
      <sumStat type="mean">
        939.799
      </sumStat>
      <sumStat type="stdev">
        223.829
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V143" name="hhno" files="F9" dcml="0" intrvl="contin">
      <location width="3"/>
      <labl>
        HOUSEHOLD NO
      </labl>
      <qstn>
        <qstnLit>
          The Household serial number
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="362"/>
      </valrng>
      <sumStat type="vald">
        3148
      </sumStat>
      <sumStat type="invd">
        2
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        362
      </sumStat>
      <sumStat type="mean">
        27.006
      </sumStat>
      <sumStat type="stdev">
        30.515
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V144" name="age" files="F9" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        AGE IN YEARS
      </labl>
      <qstn>
        <qstnLit>
          The age of the holder.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        3150
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        99
      </sumStat>
      <sumStat type="mean">
        47.627
      </sumStat>
      <sumStat type="stdev">
        13.368
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V145" name="sex" files="F9" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        GENDER
      </labl>
      <qstn>
        <qstnLit>
          The sex of the head of the household. Male = 1, Female 2.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        3150
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        2
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          2749
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          401
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V146" name="hlevel" files="F9" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        HIGHEST LEVEL OF EDUCATION
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[The highest level of education.
0	Never
1	Below primary
2	Primary
3	Secondary
4	Above secondary]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="4"/>
      </valrng>
      <sumStat type="vald">
        3150
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        4
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Never
        </labl>
        <catStat type="freq">
          1693
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Below primary
        </labl>
        <catStat type="freq">
          95
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          716
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          456
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Above secondary
        </labl>
        <catStat type="freq">
          190
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V147" name="sizeofhh" files="F9" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        <![CDATA[NO OF PERSON IN THE  FARMING HOUSEHOLD]]>
      </labl>
      <qstn>
        <qstnLit>
          The size of holder in the household.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="95"/>
      </valrng>
      <sumStat type="vald">
        3143
      </sumStat>
      <sumStat type="invd">
        7
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        95
      </sumStat>
      <sumStat type="mean">
        5.584
      </sumStat>
      <sumStat type="stdev">
        4.641
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V148" name="nfarms" files="F9" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        NO OF FARMS
      </labl>
      <qstn>
        <qstnLit>
          The number of farms operated.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        3143
      </sumStat>
      <sumStat type="invd">
        7
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        9
      </sumStat>
      <sumStat type="mean">
        2.512
      </sumStat>
      <sumStat type="stdev">
        1.274
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V149" name="hid" files="F9" intrvl="discrete">
      <location width="15"/>
      <labl>
        IDENTIFICATION
      </labl>
      <qstn/>
      <sumStat type="vald">
        3150
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        The group variables for the identification.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V150" name="eaid" files="F9" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        RENUMBERING
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="10"/>
      </valrng>
      <sumStat type="vald">
        3150
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        10
      </sumStat>
      <sumStat type="mean">
        2.833
      </sumStat>
      <sumStat type="stdev">
        1.449
      </sumStat>
      <codInstr>
        The Enumiration Area renumbering for easy identification.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V151" name="id" files="F9" dcml="0" intrvl="contin">
      <location width="14"/>
      <labl>
        IDENTIFICATION
      </labl>
      <qstn/>
      <valrng>
        <range UNITS="REAL" min="1003900101" max="37025713405"/>
      </valrng>
      <sumStat type="vald">
        3148
      </sumStat>
      <sumStat type="invd">
        2
      </sumStat>
      <sumStat type="min">
        1003900101
      </sumStat>
      <sumStat type="max">
        37025713405
      </sumStat>
      <sumStat type="mean">
        19042215251.122
      </sumStat>
      <sumStat type="stdev">
        10970517779.415
      </sumStat>
      <codInstr>
        The group variables for the identification.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V316" name="state" files="F21" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        STATE
      </labl>
      <qstn>
        <qstnLit>
          The state by state of the data.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="37"/>
      </valrng>
      <sumStat type="vald">
        2924
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        37
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Abia
        </labl>
        <catStat type="freq">
          87
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Adamawa
        </labl>
        <catStat type="freq">
          91
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Akwa ibom
        </labl>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Anambra
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Bauchi
        </labl>
        <catStat type="freq">
          79
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Bayelsa
        </labl>
        <catStat type="freq">
          116
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Benue
        </labl>
        <catStat type="freq">
          61
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Borno
        </labl>
        <catStat type="freq">
          94
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Cross_rivers
        </labl>
        <catStat type="freq">
          73
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Delta
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Ebonyi
        </labl>
        <catStat type="freq">
          91
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Edo
        </labl>
        <catStat type="freq">
          79
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Ekiti
        </labl>
        <catStat type="freq">
          95
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Enugu
        </labl>
        <catStat type="freq">
          78
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Gombe
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Imo
        </labl>
        <catStat type="freq">
          95
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Jigawa
        </labl>
        <catStat type="freq">
          46
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Kaduna
        </labl>
        <catStat type="freq">
          97
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Kano
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Katsina
        </labl>
        <catStat type="freq">
          68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Kebbi
        </labl>
        <catStat type="freq">
          98
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Kogi
        </labl>
        <catStat type="freq">
          70
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Kwara
        </labl>
        <catStat type="freq">
          90
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Lagos
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Nassarawa
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Niger
        </labl>
        <catStat type="freq">
          89
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Ogun
        </labl>
        <catStat type="freq">
          76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Ondo
        </labl>
        <catStat type="freq">
          71
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Osun
        </labl>
        <catStat type="freq">
          74
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Oyo
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Plateau
        </labl>
        <catStat type="freq">
          79
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Rivers
        </labl>
        <catStat type="freq">
          116
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Sokoto
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Taraba
        </labl>
        <catStat type="freq">
          63
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Yobe
        </labl>
        <catStat type="freq">
          107
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Zamfara
        </labl>
        <catStat type="freq">
          55
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          FCT
        </labl>
        <catStat type="freq">
          86
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V317" name="lga" files="F21" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        LOCAL GOVT. AREA
      </labl>
      <qstn>
        <qstnLit>
          The local goverment of the area in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="60"/>
      </valrng>
      <sumStat type="vald">
        2924
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        60
      </sumStat>
      <sumStat type="mean">
        11.458
      </sumStat>
      <sumStat type="stdev">
        7.753
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V318" name="eacode" files="F21" dcml="0" intrvl="contin">
      <location width="4"/>
      <labl>
        ENUMERATION AREA CODE
      </labl>
      <qstn>
        <qstnLit>
          The enumeration area of the local government in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="8087"/>
      </valrng>
      <sumStat type="vald">
        2924
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8087
      </sumStat>
      <sumStat type="mean">
        236.275
      </sumStat>
      <sumStat type="stdev">
        266.47
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V319" name="ric" files="F21" dcml="0" intrvl="contin">
      <location width="4"/>
      <labl>
        REPLICATE CODE
      </labl>
      <qstn>
        <qstnLit>
          The Replicate code of the EA in the loacl government in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="7" max="1210"/>
      </valrng>
      <sumStat type="vald">
        2924
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        7
      </sumStat>
      <sumStat type="max">
        1210
      </sumStat>
      <sumStat type="mean">
        941.249
      </sumStat>
      <sumStat type="stdev">
        196.144
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V320" name="hhno" files="F21" dcml="0" intrvl="contin">
      <location width="3"/>
      <labl>
        HOUSEHOLD NO
      </labl>
      <qstn>
        <qstnLit>
          The Household serial number
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="362"/>
      </valrng>
      <sumStat type="vald">
        2923
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        362
      </sumStat>
      <sumStat type="mean">
        26.503
      </sumStat>
      <sumStat type="stdev">
        29.999
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V321" name="ownfunds" files="F21" dcml="0" intrvl="contin">
      <location width="8"/>
      <labl>
        OWN FUNDS
      </labl>
      <qstn>
        <preQTxt>
          WHAT IS YOUR ACCESS TO FUNDS?
        </preQTxt>
        <qstnLit>
          Is it Own Funds?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99999999"/>
      </valrng>
      <sumStat type="vald">
        2853
      </sumStat>
      <sumStat type="invd">
        71
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        99999999
      </sumStat>
      <sumStat type="mean">
        567445.4
      </sumStat>
      <sumStat type="stdev">
        7234104.389
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V322" name="rprofit" files="F21" dcml="0" intrvl="contin">
      <location width="8"/>
      <labl>
        RETAINED PROFIT
      </labl>
      <qstn>
        <qstnLit>
          Is it Retained Profit?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="99999999"/>
      </valrng>
      <sumStat type="vald">
        358
      </sumStat>
      <sumStat type="invd">
        2566
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        99999999
      </sumStat>
      <sumStat type="mean">
        1430262.128
      </sumStat>
      <sumStat type="stdev">
        11748215.862
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V323" name="shorterm" files="F21" dcml="0" intrvl="contin">
      <location width="8"/>
      <labl>
        SHORT TERM PRIVATE LOAN
      </labl>
      <qstn>
        <qstnLit>
          Is it short term private loan?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="99" max="120000"/>
      </valrng>
      <sumStat type="vald">
        91
      </sumStat>
      <sumStat type="invd">
        2833
      </sumStat>
      <sumStat type="min">
        99
      </sumStat>
      <sumStat type="max">
        120000
      </sumStat>
      <sumStat type="mean">
        16409.549
      </sumStat>
      <sumStat type="stdev">
        20319.289
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V324" name="nacrdb" files="F21" dcml="0" intrvl="contin">
      <location width="8"/>
      <labl>
        NACRDB
      </labl>
      <qstn>
        <qstnLit>
          Is it from NACRDB?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="5000" max="100000"/>
      </valrng>
      <sumStat type="vald">
        4
      </sumStat>
      <sumStat type="invd">
        2920
      </sumStat>
      <sumStat type="min">
        5000
      </sumStat>
      <sumStat type="max">
        100000
      </sumStat>
      <sumStat type="mean">
        42000
      </sumStat>
      <sumStat type="stdev">
        44936.993
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V325" name="banks" files="F21" dcml="0" intrvl="contin">
      <location width="8"/>
      <labl>
        BANKS
      </labl>
      <qstn>
        <qstnLit>
          Is it from banks?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="5000" max="500000"/>
      </valrng>
      <sumStat type="vald">
        3
      </sumStat>
      <sumStat type="invd">
        2921
      </sumStat>
      <sumStat type="min">
        5000
      </sumStat>
      <sumStat type="max">
        500000
      </sumStat>
      <sumStat type="mean">
        175000
      </sumStat>
      <sumStat type="stdev">
        281558.165
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V326" name="scapital" files="F21" dcml="0" intrvl="contin">
      <location width="8"/>
      <labl>
        SOCIAL CAPITAL
      </labl>
      <qstn>
        <qstnLit>
          Is it social capital?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="500" max="150000"/>
      </valrng>
      <sumStat type="vald">
        83
      </sumStat>
      <sumStat type="invd">
        2841
      </sumStat>
      <sumStat type="min">
        500
      </sumStat>
      <sumStat type="max">
        150000
      </sumStat>
      <sumStat type="mean">
        19200
      </sumStat>
      <sumStat type="stdev">
        28065.072
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V327" name="others" files="F21" dcml="0" intrvl="contin">
      <location width="8"/>
      <labl>
        OTHERS
      </labl>
      <qstn>
        <qstnLit>
          Any other sources?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="99" max="99999999"/>
      </valrng>
      <sumStat type="vald">
        178
      </sumStat>
      <sumStat type="invd">
        2746
      </sumStat>
      <sumStat type="min">
        99
      </sumStat>
      <sumStat type="max">
        99999999
      </sumStat>
      <sumStat type="mean">
        2269970.978
      </sumStat>
      <sumStat type="stdev">
        14859634.407
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V328" name="hid" files="F21" intrvl="discrete">
      <location width="15"/>
      <labl>
        IDENTIFICATION
      </labl>
      <qstn/>
      <sumStat type="vald">
        2924
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        The group variables for the identification.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V329" name="eaid" files="F21" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        RENUMBERING
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="10"/>
      </valrng>
      <sumStat type="vald">
        2924
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        10
      </sumStat>
      <sumStat type="mean">
        2.79
      </sumStat>
      <sumStat type="stdev">
        1.442
      </sumStat>
      <codInstr>
        The Enumiration Area renumbering for easy identification.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V330" name="id" files="F21" dcml="0" intrvl="contin">
      <location width="14"/>
      <labl>
        IDENTIFICATION
      </labl>
      <qstn/>
      <valrng>
        <range UNITS="REAL" min="1003900101" max="37025713405"/>
      </valrng>
      <sumStat type="vald">
        2923
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <sumStat type="min">
        1003900101
      </sumStat>
      <sumStat type="max">
        37025713405
      </sumStat>
      <sumStat type="mean">
        18876182365.772
      </sumStat>
      <sumStat type="stdev">
        10901377865.774
      </sumStat>
      <codInstr>
        The group variables for the identification.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V371" name="state" files="F24" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        STATE
      </labl>
      <qstn>
        <qstnLit>
          The state by state of the data.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="37"/>
      </valrng>
      <sumStat type="vald">
        5777
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        37
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Abia
        </labl>
        <catStat type="freq">
          151
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Adamawa
        </labl>
        <catStat type="freq">
          126
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Akwa ibom
        </labl>
        <catStat type="freq">
          65
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Anambra
        </labl>
        <catStat type="freq">
          66
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Bauchi
        </labl>
        <catStat type="freq">
          267
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Bayelsa
        </labl>
        <catStat type="freq">
          158
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Benue
        </labl>
        <catStat type="freq">
          146
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Borno
        </labl>
        <catStat type="freq">
          200
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Cross_rivers
        </labl>
        <catStat type="freq">
          175
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Delta
        </labl>
        <catStat type="freq">
          100
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Ebonyi
        </labl>
        <catStat type="freq">
          211
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Edo
        </labl>
        <catStat type="freq">
          117
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Ekiti
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Enugu
        </labl>
        <catStat type="freq">
          118
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Gombe
        </labl>
        <catStat type="freq">
          228
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Imo
        </labl>
        <catStat type="freq">
          222
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Jigawa
        </labl>
        <catStat type="freq">
          146
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Kaduna
        </labl>
        <catStat type="freq">
          236
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Kano
        </labl>
        <catStat type="freq">
          360
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Katsina
        </labl>
        <catStat type="freq">
          119
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Kebbi
        </labl>
        <catStat type="freq">
          215
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Kogi
        </labl>
        <catStat type="freq">
          91
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Kwara
        </labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Lagos
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Nassarawa
        </labl>
        <catStat type="freq">
          175
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Niger
        </labl>
        <catStat type="freq">
          228
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Ogun
        </labl>
        <catStat type="freq">
          89
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Ondo
        </labl>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Osun
        </labl>
        <catStat type="freq">
          148
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Oyo
        </labl>
        <catStat type="freq">
          155
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Plateau
        </labl>
        <catStat type="freq">
          181
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Rivers
        </labl>
        <catStat type="freq">
          162
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Sokoto
        </labl>
        <catStat type="freq">
          229
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Taraba
        </labl>
        <catStat type="freq">
          147
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Yobe
        </labl>
        <catStat type="freq">
          172
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Zamfara
        </labl>
        <catStat type="freq">
          201
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          FCT
        </labl>
        <catStat type="freq">
          139
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V372" name="lga" files="F24" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        LOCAL GOVT. AREA
      </labl>
      <qstn>
        <qstnLit>
          The local goverment of the area in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="60"/>
      </valrng>
      <sumStat type="vald">
        5777
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        60
      </sumStat>
      <sumStat type="mean">
        12.015
      </sumStat>
      <sumStat type="stdev">
        8.118
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V373" name="eacode" files="F24" dcml="0" intrvl="contin">
      <location width="4"/>
      <labl>
        ENUMERATION AREA CODE
      </labl>
      <qstn>
        <qstnLit>
          The enumeration area of the local government in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="8087"/>
      </valrng>
      <sumStat type="vald">
        5777
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8087
      </sumStat>
      <sumStat type="mean">
        242.243
      </sumStat>
      <sumStat type="stdev">
        285.906
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V374" name="ric" files="F24" dcml="0" intrvl="contin">
      <location width="4"/>
      <labl>
        REPLICATE CODE
      </labl>
      <qstn>
        <qstnLit>
          The Replicate code of the EA in the loacl government in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="4" max="7011"/>
      </valrng>
      <sumStat type="vald">
        5777
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        4
      </sumStat>
      <sumStat type="max">
        7011
      </sumStat>
      <sumStat type="mean">
        942.708
      </sumStat>
      <sumStat type="stdev">
        220.315
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V375" name="hhno" files="F24" dcml="0" intrvl="contin">
      <location width="3"/>
      <labl>
        HOUSEHOLD NO
      </labl>
      <qstn>
        <qstnLit>
          The Household serial number
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="287"/>
      </valrng>
      <sumStat type="vald">
        5774
      </sumStat>
      <sumStat type="invd">
        3
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        287
      </sumStat>
      <sumStat type="mean">
        27.156
      </sumStat>
      <sumStat type="stdev">
        30.487
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V376" name="code6a" files="F24" dcml="0" intrvl="contin">
      <location width="4"/>
      <labl>
        CROP CODES
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[The crop list and the code.
1010	BEANS/COWPEAS
1020	CASSAVA OLD
1030	CASSAVA NEW
1040	COCOYAM
1050	COTTON
1051	COTTON LINT
1052	COTTON WASTE
1053	COTTON APPAREL
1054	COTTON SEED
1055	COTTON WASTE YARN1
1060	GROUNDNUT/PEANUTS
1061	GROUNDNUT CAKE
1062	GROUNDNUT OIL
1063	GROUNDNUT SHELLED
1064	GROUNDNUT UNSHELLED
1070	GUINEACORN/SOGHURM
1080	MAIZE
1090	MELON
1100	MILLET
1110	RICE
1120	YAM
2010	ACHA
2020	BABARANUTS
2030	BANANA
2040	BENNISEED/SESAME
2050	CARROT
2060	CUCUMBER
2070	GABBAGE
2080	GARDENEGG
2090	GARLIC
2100	GINGER
2101	GINGER PILLED
2102	GINGER SPLIT
2103	OTHER SPICES/VANILLA
2110	GUM ARABIC
2120	OKRO
2130	ONION
2140	PEPPER
2141	SWEET PEPPER
2150	PIGEON PEAS
2160	PINEAPLE
2170	PLAINTAIN
2180	POTATOES
2181	SWEET POTATOES
2190	PUMPKIN
2200	RIZGA
2210	SHEANUTS
2220	SOYA BEANS
2230	SUGAR CANE
2240	TEA
2250	TOBACCO
2260	TOMATO
2270	WAL NUT
2280	WHEAT
3010	APPLE
3020	CASHEW
3021	CASHEW FRUIT
3022	CASHEW NUT
3030	CHILLI(FRESH)
3040	COCOA
3041	COCOA BEANS
3042	COCOA BUTTER
3043	COCOA CAKE
3044	COCOA LIQUOR
3045	COCOA POD
3046	COCOA POWDER
3050	COCONUT
3060	COFFEE
3061	COFFEE ARABIC
3062	COFFEE ROBUSTA
3070	DATE PALM
3080	GRAPE FRUIT
3090	GUAVA
3100	JUTE
3110	KOLA NUT
3120	LEMON
3130	LIME
3140	LOCUST BEAN
3150	MANDARIN/TANGRINE
3160	MANGO
3170	ORANGES
3180	OIL PALM
3190	PALM PRODUCE
3191	FRESH FRUIT BUNCH
3192	PALM KERNEL OIL
3193	PALM KERNEL CAKE
3194	PALM OIL
3210	PAWPAW
3220	PEAR
3221	AVOCADO PEAR
3230	RUBBER
3231	RUBBER RSS
3233	RUBBER TRS]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="3233"/>
      </valrng>
      <sumStat type="vald">
        5774
      </sumStat>
      <sumStat type="invd">
        3
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        3194
      </sumStat>
      <catgry>
        <catValu>
          1010
        </catValu>
        <labl>
          BEANS/COWPEAS
        </labl>
        <catStat type="freq">
          462
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1020
        </catValu>
        <labl>
          CASSAVA OLD
        </labl>
        <catStat type="freq">
          1123
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1030
        </catValu>
        <labl>
          CASSAVA NEW
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1040
        </catValu>
        <labl>
          COCOYAM
        </labl>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1050
        </catValu>
        <labl>
          COTTON
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1051
        </catValu>
        <labl>
          COTTON LINT
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1052
        </catValu>
        <labl>
          COTTON WASTE
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1053
        </catValu>
        <labl>
          COTTON APPAREL
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1054
        </catValu>
        <labl>
          COTTON SEED
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1055
        </catValu>
        <labl>
          COTTON WASTE YARN1
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1060
        </catValu>
        <labl>
          GROUNDNUT/PEANUTS
        </labl>
        <catStat type="freq">
          298
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1061
        </catValu>
        <labl>
          GROUNDNUT CAKE
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1062
        </catValu>
        <labl>
          GROUNDNUT OIL
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1063
        </catValu>
        <labl>
          GROUNDNUT SHELLED
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1064
        </catValu>
        <labl>
          GROUNDNUT UNSHELLED
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1070
        </catValu>
        <labl>
          GUINEACORN/SOGHURM
        </labl>
        <catStat type="freq">
          759
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1080
        </catValu>
        <labl>
          MAIZE
        </labl>
        <catStat type="freq">
          870
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1090
        </catValu>
        <labl>
          MELON
        </labl>
        <catStat type="freq">
          94
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          MILLET
        </labl>
        <catStat type="freq">
          689
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          RICE
        </labl>
        <catStat type="freq">
          235
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1120
        </catValu>
        <labl>
          YAM
        </labl>
        <catStat type="freq">
          644
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          ACHA
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2020
        </catValu>
        <labl>
          BABARANUTS
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2030
        </catValu>
        <labl>
          BANANA
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2040
        </catValu>
        <labl>
          BENNISEED/SESAME
        </labl>
        <catStat type="freq">
          33
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2050
        </catValu>
        <labl>
          CARROT
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2060
        </catValu>
        <labl>
          CUCUMBER
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2070
        </catValu>
        <labl>
          GABBAGE
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2080
        </catValu>
        <labl>
          GARDENEGG
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2090
        </catValu>
        <labl>
          GARLIC
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          GINGER
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2101
        </catValu>
        <labl>
          GINGER PILLED
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2102
        </catValu>
        <labl>
          GINGER SPLIT
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2103
        </catValu>
        <labl>
          OTHER SPICES/VANILLA
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          GUM ARABIC
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          OKRO
        </labl>
        <catStat type="freq">
          95
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2130
        </catValu>
        <labl>
          ONION
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2140
        </catValu>
        <labl>
          PEPPER
        </labl>
        <catStat type="freq">
          53
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2141
        </catValu>
        <labl>
          SWEET PEPPER
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2150
        </catValu>
        <labl>
          PIGEON PEAS
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2160
        </catValu>
        <labl>
          PINEAPLE
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2170
        </catValu>
        <labl>
          PLAINTAIN
        </labl>
        <catStat type="freq">
          39
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2180
        </catValu>
        <labl>
          POTATOES
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2181
        </catValu>
        <labl>
          SWEET POTATOES
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2190
        </catValu>
        <labl>
          PUMPKIN
        </labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          RIZGA
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          SHEANUTS
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2220
        </catValu>
        <labl>
          SOYA BEANS
        </labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2230
        </catValu>
        <labl>
          SUGAR CANE
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2240
        </catValu>
        <labl>
          TEA
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2250
        </catValu>
        <labl>
          TOBACCO
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2260
        </catValu>
        <labl>
          TOMATO
        </labl>
        <catStat type="freq">
          37
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2270
        </catValu>
        <labl>
          WAL NUT
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2280
        </catValu>
        <labl>
          WHEAT
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3010
        </catValu>
        <labl>
          APPLE
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3020
        </catValu>
        <labl>
          CASHEW
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3021
        </catValu>
        <labl>
          CASHEW FRUIT
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3022
        </catValu>
        <labl>
          CASHEW NUT
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3030
        </catValu>
        <labl>
          CHILLI(FRESH)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3040
        </catValu>
        <labl>
          COCOA
        </labl>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3041
        </catValu>
        <labl>
          COCOA BEANS
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3042
        </catValu>
        <labl>
          COCOA BUTTER
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3043
        </catValu>
        <labl>
          COCOA CAKE
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3044
        </catValu>
        <labl>
          COCOA LIQUOR
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3045
        </catValu>
        <labl>
          COCOA POD
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3046
        </catValu>
        <labl>
          COCOA POWDER
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3050
        </catValu>
        <labl>
          COCONUT
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3060
        </catValu>
        <labl>
          COFFEE
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3061
        </catValu>
        <labl>
          COFFEE ARABIC
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3062
        </catValu>
        <labl>
          COFFEE ROBUSTA
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3070
        </catValu>
        <labl>
          DATE PALM
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3080
        </catValu>
        <labl>
          GRAPE FRUIT
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3090
        </catValu>
        <labl>
          GUAVA
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3100
        </catValu>
        <labl>
          JUTE
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3110
        </catValu>
        <labl>
          KOLA NUT
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3120
        </catValu>
        <labl>
          LEMON
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3130
        </catValu>
        <labl>
          LIME
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3140
        </catValu>
        <labl>
          LOCUST BEAN
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3150
        </catValu>
        <labl>
          MANDARIN/TANGRINE
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3160
        </catValu>
        <labl>
          MANGO
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3170
        </catValu>
        <labl>
          ORANGES
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3180
        </catValu>
        <labl>
          OIL PALM
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3190
        </catValu>
        <labl>
          PALM PRODUCE
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3191
        </catValu>
        <labl>
          FRESH FRUIT BUNCH
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3192
        </catValu>
        <labl>
          PALM KERNEL OIL
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3193
        </catValu>
        <labl>
          PALM KERNEL CAKE
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3194
        </catValu>
        <labl>
          PALM OIL
        </labl>
        <catStat type="freq">
          33
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3210
        </catValu>
        <labl>
          PAWPAW
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3220
        </catValu>
        <labl>
          PEAR
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3221
        </catValu>
        <labl>
          AVOCADO PEAR
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3230
        </catValu>
        <labl>
          RUBBER
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3231
        </catValu>
        <labl>
          RUBBER RSS
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3233
        </catValu>
        <labl>
          RUBBER TRS
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V377" name="qsold6a" files="F24" dcml="2" intrvl="contin">
      <location width="7"/>
      <labl>
        QUANTITY SOLD
      </labl>
      <qstn>
        <qstnLit>
          The quantity sold in local unit?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="7000"/>
      </valrng>
      <sumStat type="vald">
        4083
      </sumStat>
      <sumStat type="invd">
        1694
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        7000
      </sumStat>
      <sumStat type="mean">
        67.213
      </sumStat>
      <sumStat type="stdev">
        371.709
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V378" name="wtsold6a" files="F24" dcml="2" intrvl="contin">
      <location width="7"/>
      <labl>
        WEIGHT SOLD
      </labl>
      <qstn>
        <qstnLit>
          The weight sold in local unit?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="8000"/>
      </valrng>
      <sumStat type="vald">
        4027
      </sumStat>
      <sumStat type="invd">
        1750
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8000
      </sumStat>
      <sumStat type="mean">
        92.646
      </sumStat>
      <sumStat type="stdev">
        364.559
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V379" name="price6a" files="F24" dcml="0" intrvl="contin">
      <location width="6"/>
      <labl>
        PRICE PER FOR LOCAL UNIT
      </labl>
      <qstn>
        <qstnLit>
          The Price per local unit(=N=)?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="3" max="150000"/>
      </valrng>
      <sumStat type="vald">
        4053
      </sumStat>
      <sumStat type="invd">
        1724
      </sumStat>
      <sumStat type="min">
        3
      </sumStat>
      <sumStat type="max">
        150000
      </sumStat>
      <sumStat type="mean">
        2956.977
      </sumStat>
      <sumStat type="stdev">
        5081.685
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V380" name="consum6a" files="F24" dcml="2" intrvl="contin">
      <location width="7"/>
      <labl>
        NO. OF LOCAL UNIT CONSUMED
      </labl>
      <qstn>
        <qstnLit>
          The Number of local unit consumed?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="4000"/>
      </valrng>
      <sumStat type="vald">
        4679
      </sumStat>
      <sumStat type="invd">
        1098
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        4000
      </sumStat>
      <sumStat type="mean">
        22.51
      </sumStat>
      <sumStat type="stdev">
        152.252
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V381" name="wconsu6a" files="F24" dcml="2" intrvl="contin">
      <location width="7"/>
      <labl>
        WEIGHT CONSUMED
      </labl>
      <qstn>
        <qstnLit>
          The weight consumed in local unit?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="7000"/>
      </valrng>
      <sumStat type="vald">
        4629
      </sumStat>
      <sumStat type="invd">
        1148
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        7000
      </sumStat>
      <sumStat type="mean">
        60.151
      </sumStat>
      <sumStat type="stdev">
        237.42
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V382" name="hid" files="F24" intrvl="discrete">
      <location width="15"/>
      <labl>
        IDENTIFICATION
      </labl>
      <qstn/>
      <sumStat type="vald">
        5777
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        The group variables for the identification.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V383" name="eaid" files="F24" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        RENUMBERING
      </labl>
      <qstn/>
      <valrng>
        <range UNITS="REAL" min="1" max="37"/>
      </valrng>
      <sumStat type="vald">
        5777
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        37
      </sumStat>
      <sumStat type="mean">
        7.315
      </sumStat>
      <sumStat type="stdev">
        5.591
      </sumStat>
      <codInstr>
        The Enumiration Area renumbering for easy identification.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V384" name="id" files="F24" dcml="0" intrvl="contin">
      <location width="14"/>
      <labl>
        IDENTIFICATION
      </labl>
      <qstn/>
      <valrng>
        <range UNITS="REAL" min="10039001102001" max="370257134104005"/>
      </valrng>
      <sumStat type="vald">
        5771
      </sumStat>
      <sumStat type="invd">
        6
      </sumStat>
      <sumStat type="min">
        10039001102001
      </sumStat>
      <sumStat type="max">
        370257134104005
      </sumStat>
      <sumStat type="mean">
        193070305053402
      </sumStat>
      <sumStat type="stdev">
        105490539562060
      </sumStat>
      <codInstr>
        The group variables for the identification.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V26" name="state" files="F2" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        STATE
      </labl>
      <qstn>
        <qstnLit>
          The state by state of the data.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="37"/>
      </valrng>
      <sumStat type="vald">
        5055
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        37
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Abia
        </labl>
        <catStat type="freq">
          142
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Adamawa
        </labl>
        <catStat type="freq">
          186
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Akwa ibom
        </labl>
        <catStat type="freq">
          158
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Anambra
        </labl>
        <catStat type="freq">
          66
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Bauchi
        </labl>
        <catStat type="freq">
          88
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Bayelsa
        </labl>
        <catStat type="freq">
          197
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Benue
        </labl>
        <catStat type="freq">
          105
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Borno
        </labl>
        <catStat type="freq">
          204
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Cross_rivers
        </labl>
        <catStat type="freq">
          95
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Delta
        </labl>
        <catStat type="freq">
          147
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Ebonyi
        </labl>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Edo
        </labl>
        <catStat type="freq">
          105
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Ekiti
        </labl>
        <catStat type="freq">
          164
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Enugu
        </labl>
        <catStat type="freq">
          113
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Gombe
        </labl>
        <catStat type="freq">
          209
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Imo
        </labl>
        <catStat type="freq">
          140
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Jigawa
        </labl>
        <catStat type="freq">
          101
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Kaduna
        </labl>
        <catStat type="freq">
          192
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Kano
        </labl>
        <catStat type="freq">
          122
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Katsina
        </labl>
        <catStat type="freq">
          160
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Kebbi
        </labl>
        <catStat type="freq">
          134
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Kogi
        </labl>
        <catStat type="freq">
          107
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Kwara
        </labl>
        <catStat type="freq">
          136
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Lagos
        </labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Nassarawa
        </labl>
        <catStat type="freq">
          183
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Niger
        </labl>
        <catStat type="freq">
          158
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Ogun
        </labl>
        <catStat type="freq">
          95
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Ondo
        </labl>
        <catStat type="freq">
          99
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Osun
        </labl>
        <catStat type="freq">
          165
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Oyo
        </labl>
        <catStat type="freq">
          236
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Plateau
        </labl>
        <catStat type="freq">
          107
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Rivers
        </labl>
        <catStat type="freq">
          264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Sokoto
        </labl>
        <catStat type="freq">
          101
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Taraba
        </labl>
        <catStat type="freq">
          123
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Yobe
        </labl>
        <catStat type="freq">
          99
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Zamfara
        </labl>
        <catStat type="freq">
          110
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          FCT
        </labl>
        <catStat type="freq">
          144
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V27" name="lga" files="F2" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        LOCAL GOVT. AREA
      </labl>
      <qstn>
        <qstnLit>
          The local goverment of the area in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="60"/>
      </valrng>
      <sumStat type="vald">
        5055
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        60
      </sumStat>
      <sumStat type="mean">
        11.606
      </sumStat>
      <sumStat type="stdev">
        8.006
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V28" name="eacode" files="F2" dcml="0" intrvl="contin">
      <location width="4"/>
      <labl>
        ENUMERATION AREA CODE
      </labl>
      <qstn>
        <qstnLit>
          The enumeration area of the local government in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="8087"/>
      </valrng>
      <sumStat type="vald">
        5055
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8087
      </sumStat>
      <sumStat type="mean">
        246.662
      </sumStat>
      <sumStat type="stdev">
        298.289
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V29" name="ric" files="F2" dcml="0" intrvl="contin">
      <location width="4"/>
      <labl>
        REPLICATE CODE
      </labl>
      <qstn>
        <qstnLit>
          The Replicate code of the EA in the loacl government in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="4" max="7011"/>
      </valrng>
      <sumStat type="vald">
        5055
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        4
      </sumStat>
      <sumStat type="max">
        7011
      </sumStat>
      <sumStat type="mean">
        937.425
      </sumStat>
      <sumStat type="stdev">
        247.83
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V30" name="hhno" files="F2" dcml="0" intrvl="contin">
      <location width="3"/>
      <labl>
        HOUSEHOLD NO
      </labl>
      <qstn>
        <qstnLit>
          The Household serial number
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="362"/>
      </valrng>
      <sumStat type="vald">
        5055
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        362
      </sumStat>
      <sumStat type="mean">
        27.479
      </sumStat>
      <sumStat type="stdev">
        31.428
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V31" name="inputs" files="F2" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        PRODUCTION INPUT CODES
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[The production inputs of agricultural machinery?
TRACTORS
PLANTERS
HARROW
PLOUGHS
RIDGERS
HARVESTERS
SPRAYERS
OX_DRAWN PLOUGH
HOES
CUTLASS
OTHERS]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="20"/>
      </valrng>
      <sumStat type="vald">
        5055
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        20
      </sumStat>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          TRACTORS
        </labl>
        <catStat type="freq">
          89
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          PLANTERS
        </labl>
        <catStat type="freq">
          82
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          HARROW
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          PLOUGHS
        </labl>
        <catStat type="freq">
          75
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          RIDGERS
        </labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          HARVESTERS
        </labl>
        <catStat type="freq">
          65
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          SPRAYERS
        </labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          OX_DRAWN PLOUGH
        </labl>
        <catStat type="freq">
          221
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          HOES
        </labl>
        <catStat type="freq">
          2225
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          CUTLASS
        </labl>
        <catStat type="freq">
          2033
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          OTHERS
        </labl>
        <catStat type="freq">
          181
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V32" name="hour" files="F2" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        NO. OF HOURS USED
      </labl>
      <qstn>
        <qstnLit>
          The number of hours used?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="80"/>
      </valrng>
      <sumStat type="vald">
        5023
      </sumStat>
      <sumStat type="invd">
        32
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        80
      </sumStat>
      <sumStat type="mean">
        4.047
      </sumStat>
      <sumStat type="stdev">
        6.657
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V33" name="price" files="F2" dcml="2" intrvl="contin">
      <location width="8"/>
      <labl>
        VALUE PER UNIT
      </labl>
      <qstn>
        <qstnLit>
          The value price per hour?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="950"/>
      </valrng>
      <sumStat type="vald">
        4907
      </sumStat>
      <sumStat type="invd">
        148
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        950
      </sumStat>
      <sumStat type="mean">
        358.958
      </sumStat>
      <sumStat type="stdev">
        232.162
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V34" name="hid" files="F2" intrvl="discrete">
      <location width="15"/>
      <labl>
        IDENTIFICATION
      </labl>
      <qstn/>
      <sumStat type="vald">
        5055
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        The group variables for the identification.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V35" name="eaid" files="F2" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        RENUMBERING
      </labl>
      <qstn/>
      <valrng>
        <range UNITS="REAL" min="1" max="30"/>
      </valrng>
      <sumStat type="vald">
        5055
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        30
      </sumStat>
      <sumStat type="mean">
        5.55
      </sumStat>
      <sumStat type="stdev">
        3.94
      </sumStat>
      <codInstr>
        The Enumiration Area renumbering for easy identification.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V36" name="id" files="F2" dcml="0" intrvl="contin">
      <location width="14"/>
      <labl>
        IDENTIFICATION
      </labl>
      <qstn/>
      <valrng>
        <range UNITS="REAL" min="1003900101" max="37025713410"/>
      </valrng>
      <sumStat type="vald">
        5055
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1003900101
      </sumStat>
      <sumStat type="max">
        37025713410
      </sumStat>
      <sumStat type="mean">
        19051375137.263
      </sumStat>
      <sumStat type="stdev">
        10713741717.043
      </sumStat>
      <codInstr>
        The group variables for the identification.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V385" name="state" files="F25" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        STATE
      </labl>
      <qstn>
        <qstnLit>
          The state by state of the data.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="37"/>
      </valrng>
      <sumStat type="vald">
        11317
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        37
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Abia
        </labl>
        <catStat type="freq">
          327
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Adamawa
        </labl>
        <catStat type="freq">
          314
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Akwa ibom
        </labl>
        <catStat type="freq">
          281
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Anambra
        </labl>
        <catStat type="freq">
          338
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Bauchi
        </labl>
        <catStat type="freq">
          248
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Bayelsa
        </labl>
        <catStat type="freq">
          466
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Benue
        </labl>
        <catStat type="freq">
          275
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Borno
        </labl>
        <catStat type="freq">
          308
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Cross_rivers
        </labl>
        <catStat type="freq">
          328
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Delta
        </labl>
        <catStat type="freq">
          239
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Ebonyi
        </labl>
        <catStat type="freq">
          369
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Edo
        </labl>
        <catStat type="freq">
          298
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Ekiti
        </labl>
        <catStat type="freq">
          365
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Enugu
        </labl>
        <catStat type="freq">
          316
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Gombe
        </labl>
        <catStat type="freq">
          287
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Imo
        </labl>
        <catStat type="freq">
          365
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Jigawa
        </labl>
        <catStat type="freq">
          167
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Kaduna
        </labl>
        <catStat type="freq">
          332
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Kano
        </labl>
        <catStat type="freq">
          342
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Katsina
        </labl>
        <catStat type="freq">
          271
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Kebbi
        </labl>
        <catStat type="freq">
          358
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Kogi
        </labl>
        <catStat type="freq">
          266
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Kwara
        </labl>
        <catStat type="freq">
          354
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Lagos
        </labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Nassarawa
        </labl>
        <catStat type="freq">
          367
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Niger
        </labl>
        <catStat type="freq">
          268
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Ogun
        </labl>
        <catStat type="freq">
          239
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Ondo
        </labl>
        <catStat type="freq">
          271
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Osun
        </labl>
        <catStat type="freq">
          297
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Oyo
        </labl>
        <catStat type="freq">
          256
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Plateau
        </labl>
        <catStat type="freq">
          258
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Rivers
        </labl>
        <catStat type="freq">
          545
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Sokoto
        </labl>
        <catStat type="freq">
          363
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Taraba
        </labl>
        <catStat type="freq">
          243
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Yobe
        </labl>
        <catStat type="freq">
          346
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Zamfara
        </labl>
        <catStat type="freq">
          303
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          FCT
        </labl>
        <catStat type="freq">
          317
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V386" name="lga" files="F25" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        LOCAL GOVT. AREA
      </labl>
      <qstn>
        <qstnLit>
          The local goverment of the area in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="60"/>
      </valrng>
      <sumStat type="vald">
        11317
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        60
      </sumStat>
      <sumStat type="mean">
        11.315
      </sumStat>
      <sumStat type="stdev">
        7.705
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V387" name="eacode" files="F25" dcml="0" intrvl="contin">
      <location width="4"/>
      <labl>
        ENUMERATION AREA CODE
      </labl>
      <qstn>
        <qstnLit>
          The enumeration area of the local government in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="8087"/>
      </valrng>
      <sumStat type="vald">
        11317
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8087
      </sumStat>
      <sumStat type="mean">
        246.894
      </sumStat>
      <sumStat type="stdev">
        258.972
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V388" name="ric" files="F25" dcml="0" intrvl="contin">
      <location width="4"/>
      <labl>
        REPLICATE CODE
      </labl>
      <qstn>
        <qstnLit>
          The Replicate code of the EA in the loacl government in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="4" max="7011"/>
      </valrng>
      <sumStat type="vald">
        11317
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        4
      </sumStat>
      <sumStat type="max">
        7011
      </sumStat>
      <sumStat type="mean">
        939.267
      </sumStat>
      <sumStat type="stdev">
        226.847
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V389" name="hhno" files="F25" dcml="0" intrvl="contin">
      <location width="3"/>
      <labl>
        HOUSEHOLD NO
      </labl>
      <qstn>
        <qstnLit>
          The Household serial number
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="362"/>
      </valrng>
      <sumStat type="vald">
        11312
      </sumStat>
      <sumStat type="invd">
        5
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        362
      </sumStat>
      <sumStat type="mean">
        26.845
      </sumStat>
      <sumStat type="stdev">
        29.848
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V390" name="pcode" files="F25" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        PERIOD CODE
      </labl>
      <qstn>
        <qstnLit>
          The period which range from Janurary to December?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="4"/>
      </valrng>
      <sumStat type="vald">
        11317
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        4
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          JAN-MAR
        </labl>
        <catStat type="freq">
          2794
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          APR-JUN
        </labl>
        <catStat type="freq">
          2872
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          JUL-SEP
        </labl>
        <catStat type="freq">
          2894
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          OCT-DEC
        </labl>
        <catStat type="freq">
          2757
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V391" name="engagtot" files="F25" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        <![CDATA[TOTAL NO. OF  PERSON ENGAGED]]>
      </labl>
      <qstn>
        <qstnLit>
          The total number of person engaged in crop farming?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        11221
      </sumStat>
      <sumStat type="invd">
        96
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        99
      </sumStat>
      <sumStat type="mean">
        6.646
      </sumStat>
      <sumStat type="stdev">
        6.937
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V392" name="engamale" files="F25" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        NO. OF MALE PERSON ENGAGED
      </labl>
      <qstn>
        <qstnLit>
          The number of male person engaged in crop farming?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        10589
      </sumStat>
      <sumStat type="invd">
        728
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        99
      </sumStat>
      <sumStat type="mean">
        4.61
      </sumStat>
      <sumStat type="stdev">
        5.618
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V393" name="engafema" files="F25" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        NO. OF FEMALE PERSONS ENGAGED
      </labl>
      <qstn>
        <qstnLit>
          The number of female person engaged in crop farming?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="83"/>
      </valrng>
      <sumStat type="vald">
        8144
      </sumStat>
      <sumStat type="invd">
        3173
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        83
      </sumStat>
      <sumStat type="mean">
        2.786
      </sumStat>
      <sumStat type="stdev">
        3.498
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V394" name="prtot" files="F25" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        <![CDATA[TOTAL NO. OF  WORKING PROPRIIETORS]]>
      </labl>
      <qstn>
        <qstnLit>
          The total number of working proprietor engaged in crop farming?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="17"/>
      </valrng>
      <sumStat type="vald">
        8553
      </sumStat>
      <sumStat type="invd">
        2764
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        17
      </sumStat>
      <sumStat type="mean">
        1.101
      </sumStat>
      <sumStat type="stdev">
        0.886
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V395" name="prmale" files="F25" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        NO. OF MALE WORKING PROPRIETORS
      </labl>
      <qstn>
        <qstnLit>
          The number of male working proprietor engaged in crop farming?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="17"/>
      </valrng>
      <sumStat type="vald">
        7690
      </sumStat>
      <sumStat type="invd">
        3627
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        17
      </sumStat>
      <sumStat type="mean">
        0.996
      </sumStat>
      <sumStat type="stdev">
        0.631
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V396" name="prfemale" files="F25" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        NO. OF MALE WORKING PROPRIETORS
      </labl>
      <qstn>
        <qstnLit>
          The number of female working proprietor engaged in crop farming?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="13"/>
      </valrng>
      <sumStat type="vald">
        3387
      </sumStat>
      <sumStat type="invd">
        7930
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        13
      </sumStat>
      <sumStat type="mean">
        0.562
      </sumStat>
      <sumStat type="stdev">
        0.806
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V397" name="unpatot" files="F25" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        TOTAL NO. OF UNPAID FAMILY MEMBER
      </labl>
      <qstn>
        <qstnLit>
          The total number of unpaid family members engaged in crop farming?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="70"/>
      </valrng>
      <sumStat type="vald">
        9199
      </sumStat>
      <sumStat type="invd">
        2118
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        70
      </sumStat>
      <sumStat type="mean">
        3.175
      </sumStat>
      <sumStat type="stdev">
        3.279
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V398" name="unpamale" files="F25" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        NO. OF UNPAID MALE FAMILY MEMBER
      </labl>
      <qstn>
        <qstnLit>
          The number of unpaid male family members engaged in crop farming?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="70"/>
      </valrng>
      <sumStat type="vald">
        8044
      </sumStat>
      <sumStat type="invd">
        3273
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        70
      </sumStat>
      <sumStat type="mean">
        2.233
      </sumStat>
      <sumStat type="stdev">
        2.858
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V399" name="unpafema" files="F25" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        NO. OF UNPAID FEMALE FAMILY MEMBER
      </labl>
      <qstn>
        <qstnLit>
          The number of unpaid female family members engaged in crop farming?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="80"/>
      </valrng>
      <sumStat type="vald">
        7138
      </sumStat>
      <sumStat type="invd">
        4179
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        80
      </sumStat>
      <sumStat type="mean">
        1.568
      </sumStat>
      <sumStat type="stdev">
        1.515
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V400" name="paidtot" files="F25" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        TOTAL NO. OF PAID EMPLOYEE MEMBER
      </labl>
      <qstn>
        <qstnLit>
          The total number of paid employees engaged in crop farming?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        6736
      </sumStat>
      <sumStat type="invd">
        4581
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        99
      </sumStat>
      <sumStat type="mean">
        5.415
      </sumStat>
      <sumStat type="stdev">
        7.134
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V401" name="paidmale" files="F25" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        <![CDATA[NO. OF MALE PAID EMPLOYEE  MEMBER]]>
      </labl>
      <qstn>
        <qstnLit>
          The total number of male paid employees engaged in crop farming?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        6155
      </sumStat>
      <sumStat type="invd">
        5162
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        99
      </sumStat>
      <sumStat type="mean">
        4.157
      </sumStat>
      <sumStat type="stdev">
        5.781
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V402" name="paidfema" files="F25" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        <![CDATA[NO. OF FEMALE PAID EMPLOYEE  MEMBER]]>
      </labl>
      <qstn>
        <qstnLit>
          The total number of female paid employees engaged in crop farming?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="80"/>
      </valrng>
      <sumStat type="vald">
        3964
      </sumStat>
      <sumStat type="invd">
        7353
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        80
      </sumStat>
      <sumStat type="mean">
        2.797
      </sumStat>
      <sumStat type="stdev">
        4.273
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V403" name="patowage" files="F25" dcml="0" intrvl="contin">
      <location width="6"/>
      <labl>
        TOTAL WAGE PAID
      </labl>
      <qstn>
        <qstnLit>
          The total wages paid to the employees engaged in crop farming?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="500000"/>
      </valrng>
      <sumStat type="vald">
        6560
      </sumStat>
      <sumStat type="invd">
        4757
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        500000
      </sumStat>
      <sumStat type="mean">
        6014.359
      </sumStat>
      <sumStat type="stdev">
        16211.109
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V404" name="aprtot" files="F25" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        TOTAL NO. OF APPRENTICES
      </labl>
      <qstn>
        <qstnLit>
          The total number of apprentices engaged in crop farming?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="10"/>
      </valrng>
      <sumStat type="vald">
        37
      </sumStat>
      <sumStat type="invd">
        11280
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        10
      </sumStat>
      <sumStat type="mean">
        1.297
      </sumStat>
      <sumStat type="stdev">
        2.296
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V405" name="aprmale" files="F25" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        NO. OF MALE APPRENTICES
      </labl>
      <qstn>
        <qstnLit>
          The number of male apprentices engaged in crop farming?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="5"/>
      </valrng>
      <sumStat type="vald">
        31
      </sumStat>
      <sumStat type="invd">
        11286
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        5
      </sumStat>
      <sumStat type="mean">
        0.677
      </sumStat>
      <sumStat type="stdev">
        1.166
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V406" name="aprfema" files="F25" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        NO. OF FEMALE APPRENTICES
      </labl>
      <qstn>
        <qstnLit>
          The number of female apprentices engaged in crop farming?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="10"/>
      </valrng>
      <sumStat type="vald">
        28
      </sumStat>
      <sumStat type="invd">
        11289
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        10
      </sumStat>
      <sumStat type="mean">
        0.964
      </sumStat>
      <sumStat type="stdev">
        2.081
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V407" name="hid" files="F25" intrvl="discrete">
      <location width="15"/>
      <labl>
        IDENTIFICATION
      </labl>
      <qstn/>
      <sumStat type="vald">
        11317
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        The group variables for the identification.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V408" name="eaid" files="F25" dcml="2" intrvl="contin">
      <location width="8"/>
      <labl>
        RENUMBERING
      </labl>
      <qstn/>
      <valrng>
        <range UNITS="REAL" min="1" max="36"/>
      </valrng>
      <sumStat type="vald">
        11317
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        36
      </sumStat>
      <sumStat type="mean">
        9.278
      </sumStat>
      <sumStat type="stdev">
        5.676
      </sumStat>
      <codInstr>
        The Enumiration Area renumbering for easy identification.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V409" name="id" files="F25" dcml="2" intrvl="contin">
      <location width="8"/>
      <labl>
        IDENTIFICATION
      </labl>
      <qstn/>
      <valrng>
        <range UNITS="REAL" min="1003900101" max="37025713420"/>
      </valrng>
      <sumStat type="vald">
        11312
      </sumStat>
      <sumStat type="invd">
        5
      </sumStat>
      <sumStat type="min">
        1003900101
      </sumStat>
      <sumStat type="max">
        37025713420
      </sumStat>
      <sumStat type="mean">
        18912162356.089
      </sumStat>
      <sumStat type="stdev">
        10873552778.546
      </sumStat>
      <codInstr>
        The group variables for the identification.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V37" name="state" files="F3" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        STATE
      </labl>
      <qstn>
        <qstnLit>
          The state by state of the data.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="37"/>
      </valrng>
      <sumStat type="vald">
        14933
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        37
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Abia
        </labl>
        <catStat type="freq">
          761
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Adamawa
        </labl>
        <catStat type="freq">
          304
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Akwa ibom
        </labl>
        <catStat type="freq">
          739
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Anambra
        </labl>
        <catStat type="freq">
          652
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Bauchi
        </labl>
        <catStat type="freq">
          606
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Bayelsa
        </labl>
        <catStat type="freq">
          222
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Benue
        </labl>
        <catStat type="freq">
          339
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Borno
        </labl>
        <catStat type="freq">
          294
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Cross_rivers
        </labl>
        <catStat type="freq">
          310
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Delta
        </labl>
        <catStat type="freq">
          278
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Ebonyi
        </labl>
        <catStat type="freq">
          573
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Edo
        </labl>
        <catStat type="freq">
          228
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Ekiti
        </labl>
        <catStat type="freq">
          280
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Enugu
        </labl>
        <catStat type="freq">
          361
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Gombe
        </labl>
        <catStat type="freq">
          348
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Imo
        </labl>
        <catStat type="freq">
          886
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Jigawa
        </labl>
        <catStat type="freq">
          329
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Kaduna
        </labl>
        <catStat type="freq">
          352
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Kano
        </labl>
        <catStat type="freq">
          835
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Katsina
        </labl>
        <catStat type="freq">
          473
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Kebbi
        </labl>
        <catStat type="freq">
          341
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Kogi
        </labl>
        <catStat type="freq">
          349
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Kwara
        </labl>
        <catStat type="freq">
          373
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Lagos
        </labl>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Nassarawa
        </labl>
        <catStat type="freq">
          425
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Niger
        </labl>
        <catStat type="freq">
          352
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Ogun
        </labl>
        <catStat type="freq">
          217
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Ondo
        </labl>
        <catStat type="freq">
          304
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Osun
        </labl>
        <catStat type="freq">
          256
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Oyo
        </labl>
        <catStat type="freq">
          196
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Plateau
        </labl>
        <catStat type="freq">
          299
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Rivers
        </labl>
        <catStat type="freq">
          702
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Sokoto
        </labl>
        <catStat type="freq">
          445
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Taraba
        </labl>
        <catStat type="freq">
          165
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Yobe
        </labl>
        <catStat type="freq">
          455
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Zamfara
        </labl>
        <catStat type="freq">
          529
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          FCT
        </labl>
        <catStat type="freq">
          330
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V38" name="lga" files="F3" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        LOCAL GOVT. AREA
      </labl>
      <qstn>
        <qstnLit>
          The local goverment of the area in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="60"/>
      </valrng>
      <sumStat type="vald">
        14933
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        60
      </sumStat>
      <sumStat type="mean">
        11.704
      </sumStat>
      <sumStat type="stdev">
        8.008
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V39" name="eacode" files="F3" dcml="0" intrvl="contin">
      <location width="4"/>
      <labl>
        ENUMERATION AREA CODE
      </labl>
      <qstn>
        <qstnLit>
          The enumeration area of the local government in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="8087"/>
      </valrng>
      <sumStat type="vald">
        14933
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8087
      </sumStat>
      <sumStat type="mean">
        241.733
      </sumStat>
      <sumStat type="stdev">
        261.452
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V40" name="ric" files="F3" dcml="0" intrvl="contin">
      <location width="4"/>
      <labl>
        REPLICATE CODE
      </labl>
      <qstn>
        <qstnLit>
          The Replicate code of the EA in the loacl government in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="4" max="7011"/>
      </valrng>
      <sumStat type="vald">
        14933
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        4
      </sumStat>
      <sumStat type="max">
        7011
      </sumStat>
      <sumStat type="mean">
        937.875
      </sumStat>
      <sumStat type="stdev">
        209.377
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V41" name="hhno" files="F3" dcml="0" intrvl="contin">
      <location width="3"/>
      <labl>
        HOUSEHOLD NO
      </labl>
      <qstn>
        <qstnLit>
          The Household serial number
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="362"/>
      </valrng>
      <sumStat type="vald">
        14929
      </sumStat>
      <sumStat type="invd">
        4
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        362
      </sumStat>
      <sumStat type="mean">
        26.148
      </sumStat>
      <sumStat type="stdev">
        28.744
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V42" name="farmno" files="F3" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        FARM NO.
      </labl>
      <qstn>
        <qstnLit>
          The number of farm that the crop was grown.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="6"/>
      </valrng>
      <sumStat type="vald">
        14933
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        6
      </sumStat>
      <sumStat type="mean">
        1.944
      </sumStat>
      <sumStat type="stdev">
        1.115
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V43" name="cropcode" files="F3" dcml="0" intrvl="contin">
      <location width="4"/>
      <labl>
        CROP CODE
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[The crop list and the code.
1010	BEANS/COWPEAS
1020	CASSAVA OLD
1030	CASSAVA NEW
1040	COCOYAM
1050	COTTON
1051	COTTON LINT
1052	COTTON WASTE
1053	COTTON APPAREL
1054	COTTON SEED
1055	COTTON WASTE YARN1
1060	GROUNDNUT/PEANUTS
1061	GROUNDNUT CAKE
1062	GROUNDNUT OIL
1063	GROUNDNUT SHELLED
1064	GROUNDNUT UNSHELLED
1070	GUINEACORN/SOGHURM
1080	MAIZE
1090	MELON
1100	MILLET
1110	RICE
1120	YAM
2010	ACHA
2020	BABARANUTS
2030	BANANA
2040	BENNISEED/SESAME
2050	CARROT
2060	CUCUMBER
2070	GABBAGE
2080	GARDENEGG
2090	GARLIC
2100	GINGER
2101	GINGER PILLED
2102	GINGER SPLIT
2103	OTHER SPICES/VANILLA
2110	GUM ARABIC
2120	OKRO
2130	ONION
2140	PEPPER
2141	SWEET PEPPER
2150	PIGEON PEAS
2160	PINEAPLE
2170	PLAINTAIN
2180	POTATOES
2181	SWEET POTATOES
2190	PUMPKIN
2200	RIZGA
2210	SHEANUTS
2220	SOYA BEANS
2230	SUGAR CANE
2240	TEA
2250	TOBACCO
2260	TOMATO
2270	WAL NUT
2280	WHEAT
3010	APPLE
3020	CASHEW
3021	CASHEW FRUIT
3022	CASHEW NUT
3030	CHILLI(FRESH)
3040	COCOA
3041	COCOA BEANS
3042	COCOA BUTTER
3043	COCOA CAKE
3044	COCOA LIQUOR
3045	COCOA POD
3046	COCOA POWDER
3050	COCONUT
3060	COFFEE
3061	COFFEE ARABIC
3062	COFFEE ROBUSTA
3070	DATE PALM
3080	GRAPE FRUIT
3090	GUAVA
3100	JUTE
3110	KOLA NUT
3120	LEMON
3130	LIME
3140	LOCUST BEAN
3150	MANDARIN/TANGRINE
3160	MANGO
3170	ORANGES
3180	OIL PALM
3190	PALM PRODUCE
3191	FRESH FRUIT BUNCH
3192	PALM KERNEL OIL
3193	PALM KERNEL CAKE
3194	PALM OIL
3210	PAWPAW
3220	PEAR
3221	AVOCADO PEAR
3230	RUBBER
3231	RUBBER RSS
3233	RUBBER TRS]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1010" max="3233"/>
      </valrng>
      <sumStat type="vald">
        14922
      </sumStat>
      <sumStat type="invd">
        11
      </sumStat>
      <sumStat type="min">
        1010
      </sumStat>
      <sumStat type="max">
        3194
      </sumStat>
      <catgry>
        <catValu>
          1010
        </catValu>
        <labl>
          BEANS/COWPEAS
        </labl>
        <catStat type="freq">
          1351
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1020
        </catValu>
        <labl>
          CASSAVA OLD
        </labl>
        <catStat type="freq">
          2552
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1030
        </catValu>
        <labl>
          CASSAVA NEW
        </labl>
        <catStat type="freq">
          227
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1040
        </catValu>
        <labl>
          COCOYAM
        </labl>
        <catStat type="freq">
          489
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1050
        </catValu>
        <labl>
          COTTON
        </labl>
        <catStat type="freq">
          65
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1051
        </catValu>
        <labl>
          COTTON LINT
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1052
        </catValu>
        <labl>
          COTTON WASTE
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1053
        </catValu>
        <labl>
          COTTON APPAREL
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1054
        </catValu>
        <labl>
          COTTON SEED
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1055
        </catValu>
        <labl>
          COTTON WASTE YARN1
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1060
        </catValu>
        <labl>
          GROUNDNUT/PEANUTS
        </labl>
        <catStat type="freq">
          763
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1061
        </catValu>
        <labl>
          GROUNDNUT CAKE
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1062
        </catValu>
        <labl>
          GROUNDNUT OIL
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1063
        </catValu>
        <labl>
          GROUNDNUT SHELLED
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1064
        </catValu>
        <labl>
          GROUNDNUT UNSHELLED
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1070
        </catValu>
        <labl>
          GUINEACORN/SOGHURM
        </labl>
        <catStat type="freq">
          1632
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1080
        </catValu>
        <labl>
          MAIZE
        </labl>
        <catStat type="freq">
          2550
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1090
        </catValu>
        <labl>
          MELON
        </labl>
        <catStat type="freq">
          381
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          MILLET
        </labl>
        <catStat type="freq">
          1329
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          RICE
        </labl>
        <catStat type="freq">
          432
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1120
        </catValu>
        <labl>
          YAM
        </labl>
        <catStat type="freq">
          1639
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          ACHA
        </labl>
        <catStat type="freq">
          38
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2020
        </catValu>
        <labl>
          BABARANUTS
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2030
        </catValu>
        <labl>
          BANANA
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2040
        </catValu>
        <labl>
          BENNISEED/SESAME
        </labl>
        <catStat type="freq">
          93
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2050
        </catValu>
        <labl>
          CARROT
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2060
        </catValu>
        <labl>
          CUCUMBER
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2070
        </catValu>
        <labl>
          GABBAGE
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2080
        </catValu>
        <labl>
          GARDENEGG
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2090
        </catValu>
        <labl>
          GARLIC
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          GINGER
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2101
        </catValu>
        <labl>
          GINGER PILLED
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2102
        </catValu>
        <labl>
          GINGER SPLIT
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2103
        </catValu>
        <labl>
          OTHER SPICES/VANILLA
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          GUM ARABIC
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          OKRO
        </labl>
        <catStat type="freq">
          334
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2130
        </catValu>
        <labl>
          ONION
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2140
        </catValu>
        <labl>
          PEPPER
        </labl>
        <catStat type="freq">
          152
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2141
        </catValu>
        <labl>
          SWEET PEPPER
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2150
        </catValu>
        <labl>
          PIGEON PEAS
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2160
        </catValu>
        <labl>
          PINEAPLE
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2170
        </catValu>
        <labl>
          PLAINTAIN
        </labl>
        <catStat type="freq">
          59
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2180
        </catValu>
        <labl>
          POTATOES
        </labl>
        <catStat type="freq">
          50
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2181
        </catValu>
        <labl>
          SWEET POTATOES
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2190
        </catValu>
        <labl>
          PUMPKIN
        </labl>
        <catStat type="freq">
          300
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          RIZGA
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          SHEANUTS
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2220
        </catValu>
        <labl>
          SOYA BEANS
        </labl>
        <catStat type="freq">
          44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2230
        </catValu>
        <labl>
          SUGAR CANE
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2240
        </catValu>
        <labl>
          TEA
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2250
        </catValu>
        <labl>
          TOBACCO
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2260
        </catValu>
        <labl>
          TOMATO
        </labl>
        <catStat type="freq">
          86
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2270
        </catValu>
        <labl>
          WAL NUT
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2280
        </catValu>
        <labl>
          WHEAT
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3010
        </catValu>
        <labl>
          APPLE
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3020
        </catValu>
        <labl>
          CASHEW
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3021
        </catValu>
        <labl>
          CASHEW FRUIT
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3022
        </catValu>
        <labl>
          CASHEW NUT
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3030
        </catValu>
        <labl>
          CHILLI(FRESH)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3040
        </catValu>
        <labl>
          COCOA
        </labl>
        <catStat type="freq">
          91
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3041
        </catValu>
        <labl>
          COCOA BEANS
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3042
        </catValu>
        <labl>
          COCOA BUTTER
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3043
        </catValu>
        <labl>
          COCOA CAKE
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3044
        </catValu>
        <labl>
          COCOA LIQUOR
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3045
        </catValu>
        <labl>
          COCOA POD
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3046
        </catValu>
        <labl>
          COCOA POWDER
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3050
        </catValu>
        <labl>
          COCONUT
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3060
        </catValu>
        <labl>
          COFFEE
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3061
        </catValu>
        <labl>
          COFFEE ARABIC
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3062
        </catValu>
        <labl>
          COFFEE ROBUSTA
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3070
        </catValu>
        <labl>
          DATE PALM
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3080
        </catValu>
        <labl>
          GRAPE FRUIT
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3090
        </catValu>
        <labl>
          GUAVA
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3100
        </catValu>
        <labl>
          JUTE
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3110
        </catValu>
        <labl>
          KOLA NUT
        </labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3120
        </catValu>
        <labl>
          LEMON
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3130
        </catValu>
        <labl>
          LIME
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3140
        </catValu>
        <labl>
          LOCUST BEAN
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3150
        </catValu>
        <labl>
          MANDARIN/TANGRINE
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3160
        </catValu>
        <labl>
          MANGO
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3170
        </catValu>
        <labl>
          ORANGES
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3180
        </catValu>
        <labl>
          OIL PALM
        </labl>
        <catStat type="freq">
          31
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3190
        </catValu>
        <labl>
          PALM PRODUCE
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3191
        </catValu>
        <labl>
          FRESH FRUIT BUNCH
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3192
        </catValu>
        <labl>
          PALM KERNEL OIL
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3193
        </catValu>
        <labl>
          PALM KERNEL CAKE
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3194
        </catValu>
        <labl>
          PALM OIL
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3210
        </catValu>
        <labl>
          PAWPAW
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3220
        </catValu>
        <labl>
          PEAR
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3221
        </catValu>
        <labl>
          AVOCADO PEAR
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3230
        </catValu>
        <labl>
          RUBBER
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3231
        </catValu>
        <labl>
          RUBBER RSS
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3233
        </catValu>
        <labl>
          RUBBER TRS
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V44" name="area" files="F3" dcml="3" intrvl="contin">
      <location width="7"/>
      <labl>
        AREA IN HECTARES
      </labl>
      <qstn>
        <qstnLit>
          The Area of the crop grown in local unit.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="650"/>
      </valrng>
      <sumStat type="vald">
        14896
      </sumStat>
      <sumStat type="invd">
        37
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        650
      </sumStat>
      <sumStat type="mean">
        1.318
      </sumStat>
      <sumStat type="stdev">
        10.374
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V45" name="product" files="F3" dcml="2" intrvl="contin">
      <location width="8"/>
      <labl>
        PRODUCTION IN KILOGRAM
      </labl>
      <qstn>
        <qstnLit>
          The Production of the crop grown in local unit.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="90000"/>
      </valrng>
      <sumStat type="vald">
        14535
      </sumStat>
      <sumStat type="invd">
        398
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        90000
      </sumStat>
      <sumStat type="mean">
        1638.227
      </sumStat>
      <sumStat type="stdev">
        5052.177
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V46" name="hid" files="F3" intrvl="discrete">
      <location width="15"/>
      <labl>
        IDENTIFICATION
      </labl>
      <qstn/>
      <sumStat type="vald">
        14933
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        The group variables for the identification.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V47" name="eaid" files="F3" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        RENUMBERING
      </labl>
      <qstn/>
      <valrng>
        <range UNITS="REAL" min="1" max="109"/>
      </valrng>
      <sumStat type="vald">
        14933
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        109
      </sumStat>
      <sumStat type="mean">
        15.539
      </sumStat>
      <sumStat type="stdev">
        13.579
      </sumStat>
      <codInstr>
        The Enumiration Area renumbering for easy identification.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V48" name="id" files="F3" dcml="0" intrvl="contin">
      <location width="14"/>
      <labl>
        IDENTRIFICATION
      </labl>
      <qstn/>
      <valrng>
        <range UNITS="REAL" min="10039001101003" max="370257134108006"/>
      </valrng>
      <sumStat type="vald">
        14918
      </sumStat>
      <sumStat type="invd">
        15
      </sumStat>
      <sumStat type="min">
        10039001101003
      </sumStat>
      <sumStat type="max">
        370257134108006
      </sumStat>
      <sumStat type="mean">
        178341368468869
      </sumStat>
      <sumStat type="stdev">
        110403306689572
      </sumStat>
      <codInstr>
        The group variables for the identification.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V100" name="state" files="F7" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        STATE
      </labl>
      <qstn>
        <qstnLit>
          The state by state of the data.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="37"/>
      </valrng>
      <sumStat type="vald">
        5880
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        37
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Abia
        </labl>
        <catStat type="freq">
          244
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Adamawa
        </labl>
        <catStat type="freq">
          84
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Akwa ibom
        </labl>
        <catStat type="freq">
          152
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Anambra
        </labl>
        <catStat type="freq">
          123
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Bauchi
        </labl>
        <catStat type="freq">
          182
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Bayelsa
        </labl>
        <catStat type="freq">
          137
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Benue
        </labl>
        <catStat type="freq">
          79
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Borno
        </labl>
        <catStat type="freq">
          197
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Cross_rivers
        </labl>
        <catStat type="freq">
          197
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Delta
        </labl>
        <catStat type="freq">
          121
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Ebonyi
        </labl>
        <catStat type="freq">
          233
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Edo
        </labl>
        <catStat type="freq">
          127
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Ekiti
        </labl>
        <catStat type="freq">
          93
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Enugu
        </labl>
        <catStat type="freq">
          168
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Gombe
        </labl>
        <catStat type="freq">
          233
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Imo
        </labl>
        <catStat type="freq">
          225
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Jigawa
        </labl>
        <catStat type="freq">
          124
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Kaduna
        </labl>
        <catStat type="freq">
          237
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Kano
        </labl>
        <catStat type="freq">
          418
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Katsina
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Kebbi
        </labl>
        <catStat type="freq">
          176
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Kogi
        </labl>
        <catStat type="freq">
          153
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Kwara
        </labl>
        <catStat type="freq">
          126
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Lagos
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Nassarawa
        </labl>
        <catStat type="freq">
          202
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Niger
        </labl>
        <catStat type="freq">
          238
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Ogun
        </labl>
        <catStat type="freq">
          116
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Ondo
        </labl>
        <catStat type="freq">
          148
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Osun
        </labl>
        <catStat type="freq">
          179
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Oyo
        </labl>
        <catStat type="freq">
          118
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Plateau
        </labl>
        <catStat type="freq">
          163
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Rivers
        </labl>
        <catStat type="freq">
          89
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Sokoto
        </labl>
        <catStat type="freq">
          195
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Taraba
        </labl>
        <catStat type="freq">
          146
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Yobe
        </labl>
        <catStat type="freq">
          127
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Zamfara
        </labl>
        <catStat type="freq">
          175
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          FCT
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V101" name="lga" files="F7" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        LOCAL GOVT. AREA
      </labl>
      <qstn>
        <qstnLit>
          The local goverment of the area in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="45"/>
      </valrng>
      <sumStat type="vald">
        5880
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        45
      </sumStat>
      <sumStat type="mean">
        12.161
      </sumStat>
      <sumStat type="stdev">
        8.063
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V102" name="eacode" files="F7" dcml="0" intrvl="contin">
      <location width="4"/>
      <labl>
        ENUMERATION AREA CODE
      </labl>
      <qstn>
        <qstnLit>
          The enumeration area of the local government in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="8087"/>
      </valrng>
      <sumStat type="vald">
        5861
      </sumStat>
      <sumStat type="invd">
        19
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8087
      </sumStat>
      <sumStat type="mean">
        240.748
      </sumStat>
      <sumStat type="stdev">
        288.508
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V103" name="ric" files="F7" dcml="0" intrvl="contin">
      <location width="4"/>
      <labl>
        REPLICATE CODE
      </labl>
      <qstn>
        <qstnLit>
          The Replicate code of the EA in the loacl government in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="4" max="7011"/>
      </valrng>
      <sumStat type="vald">
        5880
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        4
      </sumStat>
      <sumStat type="max">
        7011
      </sumStat>
      <sumStat type="mean">
        945.765
      </sumStat>
      <sumStat type="stdev">
        201.671
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V104" name="hhno" files="F7" dcml="0" intrvl="contin">
      <location width="3"/>
      <labl>
        HOUSEHOLD NO
      </labl>
      <qstn>
        <qstnLit>
          The Household serial number
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="287"/>
      </valrng>
      <sumStat type="vald">
        5878
      </sumStat>
      <sumStat type="invd">
        2
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        287
      </sumStat>
      <sumStat type="mean">
        26.674
      </sumStat>
      <sumStat type="stdev">
        29.635
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V105" name="code6b" files="F7" dcml="0" intrvl="contin">
      <location width="4"/>
      <labl>
        CROP CODES
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[The crop list and the code.
1010	BEANS/COWPEAS
1020	CASSAVA OLD
1030	CASSAVA NEW
1040	COCOYAM
1050	COTTON
1051	COTTON LINT
1052	COTTON WASTE
1053	COTTON APPAREL
1054	COTTON SEED
1055	COTTON WASTE YARN1
1060	GROUNDNUT/PEANUTS
1061	GROUNDNUT CAKE
1062	GROUNDNUT OIL
1063	GROUNDNUT SHELLED
1064	GROUNDNUT UNSHELLED
1070	GUINEACORN/SOGHURM
1080	MAIZE
1090	MELON
1100	MILLET
1110	RICE
1120	YAM
2010	ACHA
2020	BABARANUTS
2030	BANANA
2040	BENNISEED/SESAME
2050	CARROT
2060	CUCUMBER
2070	GABBAGE
2080	GARDENEGG
2090	GARLIC
2100	GINGER
2101	GINGER PILLED
2102	GINGER SPLIT
2103	OTHER SPICES/VANILLA
2110	GUM ARABIC
2120	OKRO
2130	ONION
2140	PEPPER
2141	SWEET PEPPER
2150	PIGEON PEAS
2160	PINEAPLE
2170	PLAINTAIN
2180	POTATOES
2181	SWEET POTATOES
2190	PUMPKIN
2200	RIZGA
2210	SHEANUTS
2220	SOYA BEANS
2230	SUGAR CANE
2240	TEA
2250	TOBACCO
2260	TOMATO
2270	WAL NUT
2280	WHEAT
3010	APPLE
3020	CASHEW
3021	CASHEW FRUIT
3022	CASHEW NUT
3030	CHILLI(FRESH)
3040	COCOA
3041	COCOA BEANS
3042	COCOA BUTTER
3043	COCOA CAKE
3044	COCOA LIQUOR
3045	COCOA POD
3046	COCOA POWDER
3050	COCONUT
3060	COFFEE
3061	COFFEE ARABIC
3062	COFFEE ROBUSTA
3070	DATE PALM
3080	GRAPE FRUIT
3090	GUAVA
3100	JUTE
3110	KOLA NUT
3120	LEMON
3130	LIME
3140	LOCUST BEAN
3150	MANDARIN/TANGRINE
3160	MANGO
3170	ORANGES
3180	OIL PALM
3190	PALM PRODUCE
3191	FRESH FRUIT BUNCH
3192	PALM KERNEL OIL
3193	PALM KERNEL CAKE
3194	PALM OIL
3210	PAWPAW
3220	PEAR
3221	AVOCADO PEAR
3230	RUBBER
3231	RUBBER RSS
3233	RUBBER TRS]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1010" max="3233"/>
      </valrng>
      <sumStat type="vald">
        5876
      </sumStat>
      <sumStat type="invd">
        4
      </sumStat>
      <sumStat type="min">
        1010
      </sumStat>
      <sumStat type="max">
        3194
      </sumStat>
      <catgry>
        <catValu>
          1010
        </catValu>
        <labl>
          BEANS/COWPEAS
        </labl>
        <catStat type="freq">
          447
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1020
        </catValu>
        <labl>
          CASSAVA OLD
        </labl>
        <catStat type="freq">
          1050
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1030
        </catValu>
        <labl>
          CASSAVA NEW
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1040
        </catValu>
        <labl>
          COCOYAM
        </labl>
        <catStat type="freq">
          69
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1050
        </catValu>
        <labl>
          COTTON
        </labl>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1051
        </catValu>
        <labl>
          COTTON LINT
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1052
        </catValu>
        <labl>
          COTTON WASTE
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1053
        </catValu>
        <labl>
          COTTON APPAREL
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1054
        </catValu>
        <labl>
          COTTON SEED
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1055
        </catValu>
        <labl>
          COTTON WASTE YARN1
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1060
        </catValu>
        <labl>
          GROUNDNUT/PEANUTS
        </labl>
        <catStat type="freq">
          282
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1061
        </catValu>
        <labl>
          GROUNDNUT CAKE
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1062
        </catValu>
        <labl>
          GROUNDNUT OIL
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1063
        </catValu>
        <labl>
          GROUNDNUT SHELLED
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1064
        </catValu>
        <labl>
          GROUNDNUT UNSHELLED
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1070
        </catValu>
        <labl>
          GUINEACORN/SOGHURM
        </labl>
        <catStat type="freq">
          661
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1080
        </catValu>
        <labl>
          MAIZE
        </labl>
        <catStat type="freq">
          1242
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1090
        </catValu>
        <labl>
          MELON
        </labl>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          MILLET
        </labl>
        <catStat type="freq">
          605
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          RICE
        </labl>
        <catStat type="freq">
          201
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1120
        </catValu>
        <labl>
          YAM
        </labl>
        <catStat type="freq">
          606
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          ACHA
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2020
        </catValu>
        <labl>
          BABARANUTS
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2030
        </catValu>
        <labl>
          BANANA
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2040
        </catValu>
        <labl>
          BENNISEED/SESAME
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2050
        </catValu>
        <labl>
          CARROT
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2060
        </catValu>
        <labl>
          CUCUMBER
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2070
        </catValu>
        <labl>
          GABBAGE
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2080
        </catValu>
        <labl>
          GARDENEGG
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2090
        </catValu>
        <labl>
          GARLIC
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          GINGER
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2101
        </catValu>
        <labl>
          GINGER PILLED
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2102
        </catValu>
        <labl>
          GINGER SPLIT
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2103
        </catValu>
        <labl>
          OTHER SPICES/VANILLA
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          GUM ARABIC
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          OKRO
        </labl>
        <catStat type="freq">
          180
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2130
        </catValu>
        <labl>
          ONION
        </labl>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2140
        </catValu>
        <labl>
          PEPPER
        </labl>
        <catStat type="freq">
          70
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2141
        </catValu>
        <labl>
          SWEET PEPPER
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2150
        </catValu>
        <labl>
          PIGEON PEAS
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2160
        </catValu>
        <labl>
          PINEAPLE
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2170
        </catValu>
        <labl>
          PLAINTAIN
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2180
        </catValu>
        <labl>
          POTATOES
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2181
        </catValu>
        <labl>
          SWEET POTATOES
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2190
        </catValu>
        <labl>
          PUMPKIN
        </labl>
        <catStat type="freq">
          99
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          RIZGA
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          SHEANUTS
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2220
        </catValu>
        <labl>
          SOYA BEANS
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2230
        </catValu>
        <labl>
          SUGAR CANE
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2240
        </catValu>
        <labl>
          TEA
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2250
        </catValu>
        <labl>
          TOBACCO
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2260
        </catValu>
        <labl>
          TOMATO
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2270
        </catValu>
        <labl>
          WAL NUT
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2280
        </catValu>
        <labl>
          WHEAT
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3010
        </catValu>
        <labl>
          APPLE
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3020
        </catValu>
        <labl>
          CASHEW
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3021
        </catValu>
        <labl>
          CASHEW FRUIT
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3022
        </catValu>
        <labl>
          CASHEW NUT
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3030
        </catValu>
        <labl>
          CHILLI(FRESH)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3040
        </catValu>
        <labl>
          COCOA
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3041
        </catValu>
        <labl>
          COCOA BEANS
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3042
        </catValu>
        <labl>
          COCOA BUTTER
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3043
        </catValu>
        <labl>
          COCOA CAKE
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3044
        </catValu>
        <labl>
          COCOA LIQUOR
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3045
        </catValu>
        <labl>
          COCOA POD
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3046
        </catValu>
        <labl>
          COCOA POWDER
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3050
        </catValu>
        <labl>
          COCONUT
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3060
        </catValu>
        <labl>
          COFFEE
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3061
        </catValu>
        <labl>
          COFFEE ARABIC
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3062
        </catValu>
        <labl>
          COFFEE ROBUSTA
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3070
        </catValu>
        <labl>
          DATE PALM
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3080
        </catValu>
        <labl>
          GRAPE FRUIT
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3090
        </catValu>
        <labl>
          GUAVA
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3100
        </catValu>
        <labl>
          JUTE
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3110
        </catValu>
        <labl>
          KOLA NUT
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3120
        </catValu>
        <labl>
          LEMO
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3130
        </catValu>
        <labl>
          LIME
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3140
        </catValu>
        <labl>
          LOCUST BEAN
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3150
        </catValu>
        <labl>
          MANDARIN/TANGRINE
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3160
        </catValu>
        <labl>
          MANGO
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3170
        </catValu>
        <labl>
          ORANGES
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3180
        </catValu>
        <labl>
          OIL PALM
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3190
        </catValu>
        <labl>
          PALM PRODUCE
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3191
        </catValu>
        <labl>
          FRESH FRUIT BUNCH
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3192
        </catValu>
        <labl>
          PALM KERNEL OIL
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3193
        </catValu>
        <labl>
          PALM KERNEL CAKE
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3194
        </catValu>
        <labl>
          PALM OIL
        </labl>
        <catStat type="freq">
          31
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3210
        </catValu>
        <labl>
          PAWPAW
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3220
        </catValu>
        <labl>
          PEAR
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3221
        </catValu>
        <labl>
          AVOCADO PEAR
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3230
        </catValu>
        <labl>
          RUBBER
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3231
        </catValu>
        <labl>
          RUBBER RSS
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3233
        </catValu>
        <labl>
          RUBBER TRS
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V106" name="qsold6b" files="F7" dcml="0" intrvl="contin">
      <location width="6"/>
      <labl>
        QUANTITY SOLD
      </labl>
      <qstn>
        <qstnLit>
          The quantity sold in local unit?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="960000"/>
      </valrng>
      <sumStat type="vald">
        4085
      </sumStat>
      <sumStat type="invd">
        1795
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        960000
      </sumStat>
      <sumStat type="mean">
        5073.352
      </sumStat>
      <sumStat type="stdev">
        29840.971
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V107" name="wtsold6b" files="F7" dcml="0" intrvl="contin">
      <location width="6"/>
      <labl>
        WEIGHT SOLD
      </labl>
      <qstn>
        <qstnLit>
          The weight sold in local unit?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="800001"/>
      </valrng>
      <sumStat type="vald">
        4062
      </sumStat>
      <sumStat type="invd">
        1818
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        800001
      </sumStat>
      <sumStat type="mean">
        52932.133
      </sumStat>
      <sumStat type="stdev">
        64808.229
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V108" name="price6b" files="F7" dcml="0" intrvl="contin">
      <location width="6"/>
      <labl>
        PRICE PER FOR LOCAL UNIT
      </labl>
      <qstn>
        <qstnLit>
          The price per local unit?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="920001"/>
      </valrng>
      <sumStat type="vald">
        5818
      </sumStat>
      <sumStat type="invd">
        62
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        920001
      </sumStat>
      <sumStat type="mean">
        114146.231
      </sumStat>
      <sumStat type="stdev">
        200240.818
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V109" name="consum6b" files="F7" dcml="0" intrvl="contin">
      <location width="6"/>
      <labl>
        NO. OF LOCAL UNIT CONSUMED
      </labl>
      <qstn>
        <qstnLit>
          The Number of local unit consumed?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="900300"/>
      </valrng>
      <sumStat type="vald">
        4764
      </sumStat>
      <sumStat type="invd">
        1116
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        900300
      </sumStat>
      <sumStat type="mean">
        209285.563
      </sumStat>
      <sumStat type="stdev">
        212976.771
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V110" name="wconsu6b" files="F7" dcml="0" intrvl="contin">
      <location width="6"/>
      <labl>
        WEIGHT CONSUMED
      </labl>
      <qstn>
        <qstnLit>
          The weight consumed?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="85"/>
      </valrng>
      <sumStat type="vald">
        4697
      </sumStat>
      <sumStat type="invd">
        1183
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        85
      </sumStat>
      <sumStat type="mean">
        6.727
      </sumStat>
      <sumStat type="stdev">
        16.921
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V111" name="hid" files="F7" intrvl="discrete">
      <location width="15"/>
      <labl>
        IDENTIFICATION
      </labl>
      <qstn/>
      <sumStat type="vald">
        5880
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        The group variables for the identification.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V112" name="eaid" files="F7" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        RENUMBERING
      </labl>
      <qstn/>
      <valrng>
        <range UNITS="REAL" min="1" max="34"/>
      </valrng>
      <sumStat type="vald">
        5880
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        34
      </sumStat>
      <sumStat type="mean">
        7.048
      </sumStat>
      <sumStat type="stdev">
        5.467
      </sumStat>
      <codInstr>
        The Enumiration Area renumbering for easy identification.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V113" name="id" files="F7" dcml="0" intrvl="contin">
      <location width="14"/>
      <labl>
        IDENTIFICATION
      </labl>
      <qstn/>
      <valrng>
        <range UNITS="REAL" min="10039001102002" max="370119005112016"/>
      </valrng>
      <sumStat type="vald">
        5855
      </sumStat>
      <sumStat type="invd">
        25
      </sumStat>
      <sumStat type="min">
        10039001102002
      </sumStat>
      <sumStat type="max">
        370119005112016
      </sumStat>
      <sumStat type="mean">
        184630303997064
      </sumStat>
      <sumStat type="stdev">
        102090677383099
      </sumStat>
      <codInstr>
        The group variables for the identification.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V223" name="state" files="F15" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        STATE
      </labl>
      <qstn>
        <qstnLit>
          The state by state of the data.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="37"/>
      </valrng>
      <sumStat type="vald">
        2571
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        37
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Abia
        </labl>
        <catStat type="freq">
          93
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Adamawa
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Akwa ibom
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Anambra
        </labl>
        <catStat type="freq">
          59
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Bauchi
        </labl>
        <catStat type="freq">
          62
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Bayelsa
        </labl>
        <catStat type="freq">
          97
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Benue
        </labl>
        <catStat type="freq">
          33
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Borno
        </labl>
        <catStat type="freq">
          70
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Cross_rivers
        </labl>
        <catStat type="freq">
          51
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Delta
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Ebonyi
        </labl>
        <catStat type="freq">
          43
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Edo
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Ekiti
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Enugu
        </labl>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Gombe
        </labl>
        <catStat type="freq">
          101
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Imo
        </labl>
        <catStat type="freq">
          122
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Jigawa
        </labl>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Kaduna
        </labl>
        <catStat type="freq">
          74
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Kano
        </labl>
        <catStat type="freq">
          125
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Katsina
        </labl>
        <catStat type="freq">
          63
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Kebbi
        </labl>
        <catStat type="freq">
          81
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Kogi
        </labl>
        <catStat type="freq">
          63
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Kwara
        </labl>
        <catStat type="freq">
          84
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Lagos
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Nassarawa
        </labl>
        <catStat type="freq">
          57
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Niger
        </labl>
        <catStat type="freq">
          116
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Ogun
        </labl>
        <catStat type="freq">
          90
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Ondo
        </labl>
        <catStat type="freq">
          69
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Osun
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Oyo
        </labl>
        <catStat type="freq">
          34
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Plateau
        </labl>
        <catStat type="freq">
          113
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Rivers
        </labl>
        <catStat type="freq">
          240
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Sokoto
        </labl>
        <catStat type="freq">
          91
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Taraba
        </labl>
        <catStat type="freq">
          83
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Yobe
        </labl>
        <catStat type="freq">
          79
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Zamfara
        </labl>
        <catStat type="freq">
          93
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          FCT
        </labl>
        <catStat type="freq">
          65
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V224" name="lga" files="F15" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        LOCAL GOVT. AREA
      </labl>
      <qstn>
        <qstnLit>
          The local goverment of the area in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="60"/>
      </valrng>
      <sumStat type="vald">
        2571
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        60
      </sumStat>
      <sumStat type="mean">
        11.335
      </sumStat>
      <sumStat type="stdev">
        7.551
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V225" name="eacode" files="F15" dcml="0" intrvl="contin">
      <location width="4"/>
      <labl>
        ENUMERATION AREA CODE
      </labl>
      <qstn>
        <qstnLit>
          The enumeration area of the local government in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="8087"/>
      </valrng>
      <sumStat type="vald">
        2571
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8087
      </sumStat>
      <sumStat type="mean">
        278.895
      </sumStat>
      <sumStat type="stdev">
        363.096
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V226" name="ric" files="F15" dcml="0" intrvl="contin">
      <location width="4"/>
      <labl>
        REPLICATE CODE
      </labl>
      <qstn>
        <qstnLit>
          The Replicate code of the EA in the loacl government in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="4" max="7011"/>
      </valrng>
      <sumStat type="vald">
        2571
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        4
      </sumStat>
      <sumStat type="max">
        7011
      </sumStat>
      <sumStat type="mean">
        936.846
      </sumStat>
      <sumStat type="stdev">
        260.54
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V227" name="hhno" files="F15" dcml="0" intrvl="contin">
      <location width="3"/>
      <labl>
        HOUSEHOLD NO
      </labl>
      <qstn>
        <qstnLit>
          The Household serial number
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="287"/>
      </valrng>
      <sumStat type="vald">
        2571
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        287
      </sumStat>
      <sumStat type="mean">
        27.453
      </sumStat>
      <sumStat type="stdev">
        31.225
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V228" name="fcode" files="F15" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        FACILITY CODE
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[The facility code for own processing and types.
1	MORTAR
2	THRESHING
3	RICE MILLS
4	FLOUR MILLS
5	GRAIN MILLS
6	THRESHERS
7	DRYERS
8	BLOWERS
9	COTTON GINNERY
10	PALM OIL MILL
11	PALM KERNEL CRUS
12	CASSAVA GRATER
13	CASSAVA FRYER
14	RUBBER PROC. EQUIPMENT
15	COCOA PROC EQUIP
16	PEELING MACHING
17	OTHERS]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="17"/>
      </valrng>
      <sumStat type="vald">
        2555
      </sumStat>
      <sumStat type="invd">
        16
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        17
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          MORTAR
        </labl>
        <catStat type="freq">
          1613
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          THRESHING
        </labl>
        <catStat type="freq">
          448
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          RICE MILLS
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          FLOUR MILLS
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          GRAIN MILLS
        </labl>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          THRESHERS
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          DRYERS
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          BLOWERS
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          COTTON GINNERY
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          PALM OIL MILL
        </labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          PALM KERNEL CRUS
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          CASSAVA GRATER
        </labl>
        <catStat type="freq">
          87
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          CASSAVA FRYER
        </labl>
        <catStat type="freq">
          232
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          RUBBER PROC. EQUIPMENT
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          COCOA PROC EQUIP
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          PEELING MACHING
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          OTHERS
        </labl>
        <catStat type="freq">
          69
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V229" name="avaicap" files="F15" dcml="1" intrvl="contin">
      <location width="8"/>
      <labl>
        AVAILABLE CAPACITY
      </labl>
      <qstn>
        <qstnLit>
          The available capacity.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="999999.9"/>
      </valrng>
      <sumStat type="vald">
        2543
      </sumStat>
      <sumStat type="invd">
        28
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        999999.9
      </sumStat>
      <sumStat type="mean">
        46528.892
      </sumStat>
      <sumStat type="stdev">
        209701.089
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V230" name="utilcap" files="F15" dcml="1" intrvl="contin">
      <location width="8"/>
      <labl>
        UTILIZED CAPACITY
      </labl>
      <qstn>
        <qstnLit>
          The utilized capacity.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="999999.9"/>
      </valrng>
      <sumStat type="vald">
        2353
      </sumStat>
      <sumStat type="invd">
        218
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        999999.9
      </sumStat>
      <sumStat type="mean">
        28910.978
      </sumStat>
      <sumStat type="stdev">
        164746.893
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V231" name="hid" files="F15" intrvl="discrete">
      <location width="15"/>
      <labl>
        IDENTIFICATION
      </labl>
      <qstn/>
      <sumStat type="vald">
        2571
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        The group variables for the identification.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V232" name="eaid" files="F15" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        RENUMBERING
      </labl>
      <qstn/>
      <valrng>
        <range UNITS="REAL" min="1" max="15"/>
      </valrng>
      <sumStat type="vald">
        2571
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        15
      </sumStat>
      <sumStat type="mean">
        3.918
      </sumStat>
      <sumStat type="stdev">
        2.667
      </sumStat>
      <codInstr>
        The Enumiration Area renumbering for easy identification.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V233" name="id" files="F15" dcml="0" intrvl="contin">
      <location width="14"/>
      <labl>
        IDENTIFICATION
      </labl>
      <qstn/>
      <valrng>
        <range UNITS="REAL" min="1003900101" max="37025713403"/>
      </valrng>
      <sumStat type="vald">
        2571
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1003900101
      </sumStat>
      <sumStat type="max">
        37025713403
      </sumStat>
      <sumStat type="mean">
        21226647595.622
      </sumStat>
      <sumStat type="stdev">
        10652534645.586
      </sumStat>
      <codInstr>
        The group variables for the identification.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V331" name="state" files="F22" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        STATE
      </labl>
      <qstn>
        <qstnLit>
          The state by state of the data.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="37"/>
      </valrng>
      <sumStat type="vald">
        10537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        37
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Abia
        </labl>
        <catStat type="freq">
          211
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Adamawa
        </labl>
        <catStat type="freq">
          419
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Akwa ibom
        </labl>
        <catStat type="freq">
          251
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Anambra
        </labl>
        <catStat type="freq">
          249
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Bauchi
        </labl>
        <catStat type="freq">
          250
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Bayelsa
        </labl>
        <catStat type="freq">
          371
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Benue
        </labl>
        <catStat type="freq">
          217
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Borno
        </labl>
        <catStat type="freq">
          324
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Cross_rivers
        </labl>
        <catStat type="freq">
          148
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Delta
        </labl>
        <catStat type="freq">
          198
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Ebonyi
        </labl>
        <catStat type="freq">
          282
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Edo
        </labl>
        <catStat type="freq">
          207
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Ekiti
        </labl>
        <catStat type="freq">
          235
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Enugu
        </labl>
        <catStat type="freq">
          221
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Gombe
        </labl>
        <catStat type="freq">
          380
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Imo
        </labl>
        <catStat type="freq">
          312
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Jigawa
        </labl>
        <catStat type="freq">
          278
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Kaduna
        </labl>
        <catStat type="freq">
          428
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Kano
        </labl>
        <catStat type="freq">
          414
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Katsina
        </labl>
        <catStat type="freq">
          321
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Kebbi
        </labl>
        <catStat type="freq">
          362
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Kogi
        </labl>
        <catStat type="freq">
          249
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Kwara
        </labl>
        <catStat type="freq">
          276
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Lagos
        </labl>
        <catStat type="freq">
          37
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Nassarawa
        </labl>
        <catStat type="freq">
          397
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Niger
        </labl>
        <catStat type="freq">
          359
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Ogun
        </labl>
        <catStat type="freq">
          207
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Ondo
        </labl>
        <catStat type="freq">
          234
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Osun
        </labl>
        <catStat type="freq">
          296
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Oyo
        </labl>
        <catStat type="freq">
          271
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Plateau
        </labl>
        <catStat type="freq">
          284
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Rivers
        </labl>
        <catStat type="freq">
          447
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Sokoto
        </labl>
        <catStat type="freq">
          318
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Taraba
        </labl>
        <catStat type="freq">
          247
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Yobe
        </labl>
        <catStat type="freq">
          299
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Zamfara
        </labl>
        <catStat type="freq">
          242
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          FCT
        </labl>
        <catStat type="freq">
          296
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V332" name="lga" files="F22" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        LOCAL GOVT. AREA
      </labl>
      <qstn>
        <qstnLit>
          The local goverment of the area in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="60"/>
      </valrng>
      <sumStat type="vald">
        10537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        60
      </sumStat>
      <sumStat type="mean">
        11.633
      </sumStat>
      <sumStat type="stdev">
        8.054
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V333" name="eacode" files="F22" dcml="0" intrvl="contin">
      <location width="4"/>
      <labl>
        ENUMERATION AREA CODE
      </labl>
      <qstn>
        <qstnLit>
          The enumeration area of the local government in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="8087"/>
      </valrng>
      <sumStat type="vald">
        10537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8087
      </sumStat>
      <sumStat type="mean">
        243.448
      </sumStat>
      <sumStat type="stdev">
        276.734
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V334" name="ric" files="F22" dcml="0" intrvl="contin">
      <location width="4"/>
      <labl>
        REPLICATE CODE
      </labl>
      <qstn>
        <qstnLit>
          The Replicate code of the EA in the loacl government in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="4" max="7011"/>
      </valrng>
      <sumStat type="vald">
        10537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        4
      </sumStat>
      <sumStat type="max">
        7011
      </sumStat>
      <sumStat type="mean">
        938.668
      </sumStat>
      <sumStat type="stdev">
        229.74
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V335" name="hhno" files="F22" dcml="0" intrvl="contin">
      <location width="3"/>
      <labl>
        HOUSEHOLD NO
      </labl>
      <qstn>
        <qstnLit>
          The Household serial number
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="362"/>
      </valrng>
      <sumStat type="vald">
        10531
      </sumStat>
      <sumStat type="invd">
        6
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        362
      </sumStat>
      <sumStat type="mean">
        27.331
      </sumStat>
      <sumStat type="stdev">
        31.412
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V336" name="input" files="F22" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        INPUT/EQUIPMENT
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[The sources of inputs/equipment.
1	SEEDLING
2	FERTILIZER
3	HERBICIDES
4	PESTICIDES
5	HARROW
6	PLOUGH
7	RIDGER
8	OX_DRAWN PLOUGH
9	HOE
10	CUTLASS
11	OTHERS]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="11"/>
      </valrng>
      <sumStat type="vald">
        10535
      </sumStat>
      <sumStat type="invd">
        2
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        11
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          SEEDLING
        </labl>
        <catStat type="freq">
          2449
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          FERTILIZER
        </labl>
        <catStat type="freq">
          1517
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          HERBICIDES
        </labl>
        <catStat type="freq">
          308
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          PESTICIDES
        </labl>
        <catStat type="freq">
          419
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          HARROW
        </labl>
        <catStat type="freq">
          85
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          PLOUGH
        </labl>
        <catStat type="freq">
          142
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          RIDGER
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          OX_DRAWN PLOUGH
        </labl>
        <catStat type="freq">
          291
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          HOE
        </labl>
        <catStat type="freq">
          2593
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          CUTLASS
        </labl>
        <catStat type="freq">
          2444
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          OTHERS
        </labl>
        <catStat type="freq">
          255
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V337" name="ministry" files="F22" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        MINISTRY
      </labl>
      <qstn>
        <qstnLit>
          Is it Ministry Extension?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        213
      </sumStat>
      <sumStat type="invd">
        10324
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NO
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          YES
        </labl>
        <catStat type="freq">
          213
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V338" name="agrsrv" files="F22" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        AGRO SERVICES CENTER
      </labl>
      <qstn>
        <qstnLit>
          Is it Agro-Service Centre?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        82
      </sumStat>
      <sumStat type="invd">
        10455
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NO
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          YES
        </labl>
        <catStat type="freq">
          82
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V339" name="farsrv" files="F22" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        FARM SERVICES CENTER
      </labl>
      <qstn>
        <qstnLit>
          Is it Farm Services Center?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        153
      </sumStat>
      <sumStat type="invd">
        10384
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NO
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          YES
        </labl>
        <catStat type="freq">
          153
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V340" name="coop" files="F22" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        COOPERATIVE SOCIETY
      </labl>
      <qstn>
        <qstnLit>
          Is it cooperative society?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        34
      </sumStat>
      <sumStat type="invd">
        10503
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NO
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          YES
        </labl>
        <catStat type="freq">
          34
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V341" name="locmkt" files="F22" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        LOCAL MARKET
      </labl>
      <qstn>
        <qstnLit>
          Is it Local market?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        9572
      </sumStat>
      <sumStat type="invd">
        965
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NO
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          YES
        </labl>
        <catStat type="freq">
          9572
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V342" name="others" files="F22" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        OTHER SERVICES
      </labl>
      <qstn>
        <qstnLit>
          Any Other Services?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        868
      </sumStat>
      <sumStat type="invd">
        9669
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NO
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          YES
        </labl>
        <catStat type="freq">
          867
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V343" name="hid" files="F22" intrvl="discrete">
      <location width="15"/>
      <labl>
        IDENTIFICATION
      </labl>
      <qstn/>
      <sumStat type="vald">
        10537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        The group variables for the identification.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V344" name="eaid" files="F22" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        RENUMBERING
      </labl>
      <qstn/>
      <valrng>
        <range UNITS="REAL" min="1" max="44"/>
      </valrng>
      <sumStat type="vald">
        10537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        44
      </sumStat>
      <sumStat type="mean">
        9.355
      </sumStat>
      <sumStat type="stdev">
        6.51
      </sumStat>
      <codInstr>
        The Enumiration Area renumbering for easy identification.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V345" name="id" files="F22" dcml="0" intrvl="contin">
      <location width="14"/>
      <labl>
        IDENTIFICATION
      </labl>
      <qstn/>
      <valrng>
        <range UNITS="REAL" min="1003900101" max="37025713413"/>
      </valrng>
      <sumStat type="vald">
        10531
      </sumStat>
      <sumStat type="invd">
        6
      </sumStat>
      <sumStat type="min">
        1003900101
      </sumStat>
      <sumStat type="max">
        37025713413
      </sumStat>
      <sumStat type="mean">
        19326416274.029
      </sumStat>
      <sumStat type="stdev">
        10614320029.294
      </sumStat>
      <codInstr>
        The group variables for the identification.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V346" name="state" files="F23" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        STATE
      </labl>
      <qstn>
        <qstnLit>
          The state by state of the data.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="37"/>
      </valrng>
      <sumStat type="vald">
        3099
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        37
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Abia
        </labl>
        <catStat type="freq">
          87
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Adamawa
        </labl>
        <catStat type="freq">
          88
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Akwa ibom
        </labl>
        <catStat type="freq">
          82
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Anambra
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Bauchi
        </labl>
        <catStat type="freq">
          79
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Bayelsa
        </labl>
        <catStat type="freq">
          115
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Benue
        </labl>
        <catStat type="freq">
          73
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Borno
        </labl>
        <catStat type="freq">
          94
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Cross_rivers
        </labl>
        <catStat type="freq">
          84
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Delta
        </labl>
        <catStat type="freq">
          69
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Ebonyi
        </labl>
        <catStat type="freq">
          95
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Edo
        </labl>
        <catStat type="freq">
          79
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Ekiti
        </labl>
        <catStat type="freq">
          96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Enugu
        </labl>
        <catStat type="freq">
          79
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Gombe
        </labl>
        <catStat type="freq">
          78
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Imo
        </labl>
        <catStat type="freq">
          96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Jigawa
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Kaduna
        </labl>
        <catStat type="freq">
          98
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Kano
        </labl>
        <catStat type="freq">
          93
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Katsina
        </labl>
        <catStat type="freq">
          69
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Kebbi
        </labl>
        <catStat type="freq">
          98
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Kogi
        </labl>
        <catStat type="freq">
          69
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Kwara
        </labl>
        <catStat type="freq">
          90
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Lagos
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Nassarawa
        </labl>
        <catStat type="freq">
          91
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Niger
        </labl>
        <catStat type="freq">
          90
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Ogun
        </labl>
        <catStat type="freq">
          75
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Ondo
        </labl>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Osun
        </labl>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Oyo
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Plateau
        </labl>
        <catStat type="freq">
          78
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Rivers
        </labl>
        <catStat type="freq">
          149
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Sokoto
        </labl>
        <catStat type="freq">
          94
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Taraba
        </labl>
        <catStat type="freq">
          66
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Yobe
        </labl>
        <catStat type="freq">
          111
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Zamfara
        </labl>
        <catStat type="freq">
          82
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          FCT
        </labl>
        <catStat type="freq">
          87
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V347" name="lga" files="F23" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        LOCAL GOVT. AREA
      </labl>
      <qstn>
        <qstnLit>
          The local goverment of the area in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="60"/>
      </valrng>
      <sumStat type="vald">
        3099
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        60
      </sumStat>
      <sumStat type="mean">
        11.378
      </sumStat>
      <sumStat type="stdev">
        7.787
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V348" name="eacode" files="F23" dcml="0" intrvl="contin">
      <location width="4"/>
      <labl>
        ENUMERATION AREA CODE
      </labl>
      <qstn>
        <qstnLit>
          The enumeration area of the local government in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="8087"/>
      </valrng>
      <sumStat type="vald">
        3099
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8087
      </sumStat>
      <sumStat type="mean">
        244.389
      </sumStat>
      <sumStat type="stdev">
        273.277
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V349" name="ric" files="F23" dcml="0" intrvl="contin">
      <location width="4"/>
      <labl>
        REPLICATE CODE
      </labl>
      <qstn>
        <qstnLit>
          The Replicate code of the EA in the loacl government in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="4" max="7011"/>
      </valrng>
      <sumStat type="vald">
        3099
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        4
      </sumStat>
      <sumStat type="max">
        7011
      </sumStat>
      <sumStat type="mean">
        940.102
      </sumStat>
      <sumStat type="stdev">
        224.644
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V350" name="hhno" files="F23" dcml="0" intrvl="contin">
      <location width="3"/>
      <labl>
        HOUSEHOLD NO
      </labl>
      <qstn>
        <qstnLit>
          The Household serial number
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="362"/>
      </valrng>
      <sumStat type="vald">
        3098
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        362
      </sumStat>
      <sumStat type="mean">
        26.985
      </sumStat>
      <sumStat type="stdev">
        30.414
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V351" name="siloava" files="F23" dcml="1" intrvl="contin">
      <location width="8"/>
      <labl>
        SILO AVAILABLE CAPACITY
      </labl>
      <qstn>
        <qstnLit>
          What was Silo available capacity?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="6000"/>
      </valrng>
      <sumStat type="vald">
        183
      </sumStat>
      <sumStat type="invd">
        2916
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        6000
      </sumStat>
      <sumStat type="mean">
        141.321
      </sumStat>
      <sumStat type="stdev">
        564.172
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V352" name="siloutil" files="F23" dcml="1" intrvl="contin">
      <location width="8"/>
      <labl>
        SILO UTILIZED CAPACITY
      </labl>
      <qstn>
        <qstnLit>
          What was Silo utilized capacity?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0.5" max="6000"/>
      </valrng>
      <sumStat type="vald">
        175
      </sumStat>
      <sumStat type="invd">
        2924
      </sumStat>
      <sumStat type="min">
        0.5
      </sumStat>
      <sumStat type="max">
        6000
      </sumStat>
      <sumStat type="mean">
        125.049
      </sumStat>
      <sumStat type="stdev">
        545.999
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V353" name="metalava" files="F23" dcml="1" intrvl="contin">
      <location width="8"/>
      <labl>
        METAL DRUM/TANK AVAILABLE CAPACITY
      </labl>
      <qstn>
        <qstnLit>
          What was Metal Drum/Tank available capacity?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="999999.9"/>
      </valrng>
      <sumStat type="vald">
        44
      </sumStat>
      <sumStat type="invd">
        3055
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        999999.9
      </sumStat>
      <sumStat type="mean">
        161592.302
      </sumStat>
      <sumStat type="stdev">
        369193.864
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V354" name="metautil" files="F23" dcml="1" intrvl="contin">
      <location width="8"/>
      <labl>
        METAL DRUM/TANK UTILIZED CAPACITY
      </labl>
      <qstn>
        <qstnLit>
          What was Metal Drum/Tank utilized capacity?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="999999.9"/>
      </valrng>
      <sumStat type="vald">
        39
      </sumStat>
      <sumStat type="invd">
        3060
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        999999.9
      </sumStat>
      <sumStat type="mean">
        156678.446
      </sumStat>
      <sumStat type="stdev">
        364642.274
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V355" name="wareava" files="F23" dcml="1" intrvl="contin">
      <location width="8"/>
      <labl>
        WAREHOUSE AVAILABLE CAPACITY
      </labl>
      <qstn>
        <qstnLit>
          What was Warehouse available capacity?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="999999.9"/>
      </valrng>
      <sumStat type="vald">
        107
      </sumStat>
      <sumStat type="invd">
        2992
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        999999.9
      </sumStat>
      <sumStat type="mean">
        85238.861
      </sumStat>
      <sumStat type="stdev">
        278567.257
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V356" name="wareutil" files="F23" dcml="1" intrvl="contin">
      <location width="8"/>
      <labl>
        WAREHOUSE UTILIZED CAPACITY
      </labl>
      <qstn>
        <qstnLit>
          What was Warehouse utilized capacity?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="999999.9"/>
      </valrng>
      <sumStat type="vald">
        95
      </sumStat>
      <sumStat type="invd">
        3004
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        999999.9
      </sumStat>
      <sumStat type="mean">
        42849.933
      </sumStat>
      <sumStat type="stdev">
        201761.427
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V357" name="cribsava" files="F23" dcml="1" intrvl="contin">
      <location width="8"/>
      <labl>
        CRIBS AVAILABLE CAPACITY
      </labl>
      <qstn>
        <qstnLit>
          What was Cribs available capacity?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0.1" max="999999.9"/>
      </valrng>
      <sumStat type="vald">
        541
      </sumStat>
      <sumStat type="invd">
        2558
      </sumStat>
      <sumStat type="min">
        0.1
      </sumStat>
      <sumStat type="max">
        999999.9
      </sumStat>
      <sumStat type="mean">
        58088.723
      </sumStat>
      <sumStat type="stdev">
        232532.154
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V358" name="cribsuti" files="F23" dcml="1" intrvl="contin">
      <location width="8"/>
      <labl>
        CRIIBS UTILIZED CAPACITY
      </labl>
      <qstn>
        <qstnLit>
          What was Cribs utilized capacity?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="999999.9"/>
      </valrng>
      <sumStat type="vald">
        523
      </sumStat>
      <sumStat type="invd">
        2576
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        999999.9
      </sumStat>
      <sumStat type="mean">
        52585.572
      </sumStat>
      <sumStat type="stdev">
        221531.431
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V359" name="barnava" files="F23" dcml="1" intrvl="contin">
      <location width="8"/>
      <labl>
        BARN AVAILABLE CAPACITY
      </labl>
      <qstn>
        <qstnLit>
          What was Barn available capacity?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="999999.9"/>
      </valrng>
      <sumStat type="vald">
        803
      </sumStat>
      <sumStat type="invd">
        2296
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        999999.9
      </sumStat>
      <sumStat type="mean">
        21137.632
      </sumStat>
      <sumStat type="stdev">
        139795.013
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V360" name="barnutil" files="F23" dcml="1" intrvl="contin">
      <location width="8"/>
      <labl>
        BARN UTILIZED CAPACITY
      </labl>
      <qstn>
        <qstnLit>
          What was Barn available capacity?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="999999.9"/>
      </valrng>
      <sumStat type="vald">
        748
      </sumStat>
      <sumStat type="invd">
        2351
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        999999.9
      </sumStat>
      <sumStat type="mean">
        19649.805
      </sumStat>
      <sumStat type="stdev">
        135565.461
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V361" name="storeava" files="F23" dcml="1" intrvl="contin">
      <location width="8"/>
      <labl>
        FARM STORE AVAILABLE CAPACITY
      </labl>
      <qstn>
        <qstnLit>
          What was Farm Store available capacity?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="999999.9"/>
      </valrng>
      <sumStat type="vald">
        688
      </sumStat>
      <sumStat type="invd">
        2411
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        999999.9
      </sumStat>
      <sumStat type="mean">
        40696.478
      </sumStat>
      <sumStat type="stdev">
        194976.01
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V362" name="storutil" files="F23" dcml="1" intrvl="contin">
      <location width="8"/>
      <labl>
        FARM STORE UTILIZED CAPACITY
      </labl>
      <qstn>
        <qstnLit>
          What was Farm Store utilized capacity?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="999999.9"/>
      </valrng>
      <sumStat type="vald">
        643
      </sumStat>
      <sumStat type="invd">
        2456
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        999999.9
      </sumStat>
      <sumStat type="mean">
        30447.252
      </sumStat>
      <sumStat type="stdev">
        169379.765
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V363" name="farm" files="F23" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        IN THE FARM
      </labl>
      <qstn>
        <preQTxt>
          Where do you mainly sell your farm produce?
        </preQTxt>
        <qstnLit>
          Do you sell in the Farm?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        3096
      </sumStat>
      <sumStat type="invd">
        3
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NO
        </labl>
        <catStat type="freq">
          2383
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          YES
        </labl>
        <catStat type="freq">
          713
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V364" name="mkt" files="F23" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        IN THE MARKET
      </labl>
      <qstn>
        <preQTxt>
          Where do you mainly sell your farm produce?
        </preQTxt>
        <qstnLit>
          Do you sell in the Market?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        3096
      </sumStat>
      <sumStat type="invd">
        3
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NO
        </labl>
        <catStat type="freq">
          276
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          YES
        </labl>
        <catStat type="freq">
          2820
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V365" name="coop" files="F23" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        IN THE COOPERATIVE SOCIETY
      </labl>
      <qstn>
        <preQTxt>
          Where do you mainly sell your farm produce?
        </preQTxt>
        <qstnLit>
          Do you sell in the Cooperative society?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        3095
      </sumStat>
      <sumStat type="invd">
        4
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NO
        </labl>
        <catStat type="freq">
          2901
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          YES
        </labl>
        <catStat type="freq">
          194
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V366" name="direct" files="F23" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        DIRECT TO THE INDUSTRY
      </labl>
      <qstn>
        <preQTxt>
          Where do you mainly sell your farm produce?
        </preQTxt>
        <qstnLit>
          Do you sell direct to the Industry?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        3095
      </sumStat>
      <sumStat type="invd">
        4
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NO
        </labl>
        <catStat type="freq">
          2992
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          YES
        </labl>
        <catStat type="freq">
          103
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V367" name="others" files="F23" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        OTHERS
      </labl>
      <qstn>
        <preQTxt>
          Where do you mainly sell your farm produce?
        </preQTxt>
        <qstnLit>
          Which other places do you sell?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        3095
      </sumStat>
      <sumStat type="invd">
        4
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NO
        </labl>
        <catStat type="freq">
          2916
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          YES
        </labl>
        <catStat type="freq">
          179
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V368" name="hid" files="F23" intrvl="discrete">
      <location width="15"/>
      <labl>
        IDENTIFICATION
      </labl>
      <qstn/>
      <sumStat type="vald">
        3099
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        The group variables for the identification.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V369" name="eaid" files="F23" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        RENUMBERING
      </labl>
      <qstn/>
      <valrng>
        <range UNITS="REAL" min="1" max="10"/>
      </valrng>
      <sumStat type="vald">
        3099
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        10
      </sumStat>
      <sumStat type="mean">
        2.811
      </sumStat>
      <sumStat type="stdev">
        1.444
      </sumStat>
      <codInstr>
        The Enumiration Area renumbering for easy identification.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V370" name="id" files="F23" dcml="0" intrvl="contin">
      <location width="14"/>
      <labl>
        IDENTIFICATION
      </labl>
      <qstn/>
      <valrng>
        <range UNITS="REAL" min="1003900101" max="37025713405"/>
      </valrng>
      <sumStat type="vald">
        3098
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <sumStat type="min">
        1003900101
      </sumStat>
      <sumStat type="max">
        37025713405
      </sumStat>
      <sumStat type="mean">
        18999590403.181
      </sumStat>
      <sumStat type="stdev">
        10939330565.568
      </sumStat>
      <codInstr>
        The group variables for the identification.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V289" name="state" files="F19" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        STATE
      </labl>
      <qstn>
        <qstnLit>
          The state by state of the data.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="37"/>
      </valrng>
      <sumStat type="vald">
        10387
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        37
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Abia
        </labl>
        <catStat type="freq">
          223
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Adamawa
        </labl>
        <catStat type="freq">
          406
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Akwa ibom
        </labl>
        <catStat type="freq">
          338
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Anambra
        </labl>
        <catStat type="freq">
          334
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Bauchi
        </labl>
        <catStat type="freq">
          403
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Bayelsa
        </labl>
        <catStat type="freq">
          177
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Benue
        </labl>
        <catStat type="freq">
          200
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Borno
        </labl>
        <catStat type="freq">
          233
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Cross_rivers
        </labl>
        <catStat type="freq">
          147
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Delta
        </labl>
        <catStat type="freq">
          154
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Ebonyi
        </labl>
        <catStat type="freq">
          297
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Edo
        </labl>
        <catStat type="freq">
          151
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Ekiti
        </labl>
        <catStat type="freq">
          53
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Enugu
        </labl>
        <catStat type="freq">
          320
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Gombe
        </labl>
        <catStat type="freq">
          352
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Imo
        </labl>
        <catStat type="freq">
          463
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Jigawa
        </labl>
        <catStat type="freq">
          297
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Kaduna
        </labl>
        <catStat type="freq">
          432
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Kano
        </labl>
        <catStat type="freq">
          478
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Katsina
        </labl>
        <catStat type="freq">
          325
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Kebbi
        </labl>
        <catStat type="freq">
          243
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Kogi
        </labl>
        <catStat type="freq">
          248
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Kwara
        </labl>
        <catStat type="freq">
          328
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Lagos
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Nassarawa
        </labl>
        <catStat type="freq">
          476
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Niger
        </labl>
        <catStat type="freq">
          372
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Ogun
        </labl>
        <catStat type="freq">
          172
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Ondo
        </labl>
        <catStat type="freq">
          220
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Osun
        </labl>
        <catStat type="freq">
          275
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Oyo
        </labl>
        <catStat type="freq">
          135
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Plateau
        </labl>
        <catStat type="freq">
          294
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Rivers
        </labl>
        <catStat type="freq">
          332
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Sokoto
        </labl>
        <catStat type="freq">
          352
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Taraba
        </labl>
        <catStat type="freq">
          185
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Yobe
        </labl>
        <catStat type="freq">
          323
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Zamfara
        </labl>
        <catStat type="freq">
          299
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          FCT
        </labl>
        <catStat type="freq">
          326
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V290" name="lga" files="F19" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        LOCAL GOVT. AREA
      </labl>
      <qstn>
        <qstnLit>
          The local goverment of the area in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="60"/>
      </valrng>
      <sumStat type="vald">
        10387
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        60
      </sumStat>
      <sumStat type="mean">
        11.296
      </sumStat>
      <sumStat type="stdev">
        7.921
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V291" name="eacode" files="F19" dcml="0" intrvl="contin">
      <location width="4"/>
      <labl>
        ENUMERATION AREA CODE
      </labl>
      <qstn>
        <qstnLit>
          The enumeration area of the local government in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="8087"/>
      </valrng>
      <sumStat type="vald">
        10387
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8087
      </sumStat>
      <sumStat type="mean">
        243.264
      </sumStat>
      <sumStat type="stdev">
        257.637
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V292" name="ric" files="F19" dcml="0" intrvl="contin">
      <location width="4"/>
      <labl>
        REPLICATE CODE
      </labl>
      <qstn>
        <qstnLit>
          The Replicate code of the EA in the loacl government in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="4" max="7011"/>
      </valrng>
      <sumStat type="vald">
        10387
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        4
      </sumStat>
      <sumStat type="max">
        7011
      </sumStat>
      <sumStat type="mean">
        938.235
      </sumStat>
      <sumStat type="stdev">
        232.663
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V293" name="hhno" files="F19" dcml="0" intrvl="contin">
      <location width="3"/>
      <labl>
        HOUSEHOLD NO
      </labl>
      <qstn>
        <qstnLit>
          The Household serial number
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="362"/>
      </valrng>
      <sumStat type="vald">
        10383
      </sumStat>
      <sumStat type="invd">
        4
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        362
      </sumStat>
      <sumStat type="mean">
        27.594
      </sumStat>
      <sumStat type="stdev">
        31.997
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V294" name="inputs" files="F19" dcml="0" intrvl="contin">
      <location width="4"/>
      <labl>
        PRODUCTION INPUT CODES
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[The inputs utilization production input are:
1	SEED SEEDLING
2	FERTILIZER
3	HERBICIDES
4	PESTICIDES
5	INSECTICIDES
6	FUNGICIDES
7	RODENTICIDES
8      OTHERS]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="110"/>
      </valrng>
      <sumStat type="vald">
        10385
      </sumStat>
      <sumStat type="invd">
        2
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        110
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          SEED SEEDLING
        </labl>
        <catStat type="freq">
          8433
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          FERTILIZER
        </labl>
        <catStat type="freq">
          1260
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          HERBICIDES
        </labl>
        <catStat type="freq">
          182
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          PESTICIDES
        </labl>
        <catStat type="freq">
          321
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          INSECTICIDES
        </labl>
        <catStat type="freq">
          117
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          FUNGICIDES
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          RODENTICIDES
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          OTHERS
        </labl>
        <catStat type="freq">
          29
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V295" name="qty" files="F19" dcml="2" intrvl="contin">
      <location width="8"/>
      <labl>
        QUANTITY USED
      </labl>
      <qstn>
        <qstnLit>
          The quantity used in local unit?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0.01" max="90000"/>
      </valrng>
      <sumStat type="vald">
        10307
      </sumStat>
      <sumStat type="invd">
        80
      </sumStat>
      <sumStat type="min">
        0.01
      </sumStat>
      <sumStat type="max">
        90000
      </sumStat>
      <sumStat type="mean">
        178.528
      </sumStat>
      <sumStat type="stdev">
        1972.885
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V296" name="price" files="F19" dcml="0" intrvl="contin">
      <location width="5"/>
      <labl>
        PRICE
      </labl>
      <qstn>
        <qstnLit>
          The price per local unit
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="60000"/>
      </valrng>
      <sumStat type="vald">
        10211
      </sumStat>
      <sumStat type="invd">
        176
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        60000
      </sumStat>
      <sumStat type="mean">
        787.759
      </sumStat>
      <sumStat type="stdev">
        1904.167
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V297" name="weight" files="F19" dcml="2" intrvl="contin">
      <location width="6"/>
      <labl>
        QUANTITY IN STANDARD UNITS(KG)
      </labl>
      <qstn>
        <qstnLit>
          The quantity in standard units
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="750"/>
      </valrng>
      <sumStat type="vald">
        10099
      </sumStat>
      <sumStat type="invd">
        288
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        750
      </sumStat>
      <sumStat type="mean">
        15.53
      </sumStat>
      <sumStat type="stdev">
        32.554
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V298" name="hid" files="F19" intrvl="discrete">
      <location width="15"/>
      <labl>
        IDENTIFICATION
      </labl>
      <qstn/>
      <sumStat type="vald">
        10387
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        The group variables for the identification.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V299" name="val1" files="F19" dcml="2" intrvl="contin">
      <location width="9"/>
      <labl>
        VALUE IN NAIRA
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="12505000"/>
      </valrng>
      <sumStat type="vald">
        10006
      </sumStat>
      <sumStat type="invd">
        381
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        12505000
      </sumStat>
      <sumStat type="mean">
        32637.809
      </sumStat>
      <sumStat type="stdev">
        187872.728
      </sumStat>
      <codInstr>
        The value in Naira.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V300" name="eaid" files="F19" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        RENUMBERING
      </labl>
      <qstn/>
      <valrng>
        <range UNITS="REAL" min="1" max="56"/>
      </valrng>
      <sumStat type="vald">
        10387
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        56
      </sumStat>
      <sumStat type="mean">
        10.998
      </sumStat>
      <sumStat type="stdev">
        8.393
      </sumStat>
      <codInstr>
        The Enumiration Area renumbering for easy identification.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V301" name="id" files="F19" dcml="0" intrvl="contin">
      <location width="14"/>
      <labl>
        IDENTIFICATION
      </labl>
      <qstn/>
      <valrng>
        <range UNITS="REAL" min="1005901001" max="37025713407"/>
      </valrng>
      <sumStat type="vald">
        10383
      </sumStat>
      <sumStat type="invd">
        4
      </sumStat>
      <sumStat type="min">
        1005901001
      </sumStat>
      <sumStat type="max">
        37025713407
      </sumStat>
      <sumStat type="mean">
        19163311216.911
      </sumStat>
      <sumStat type="stdev">
        10718337997.125
      </sumStat>
      <codInstr>
        The group variables for the identification.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V63" name="state" files="F5" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        STATE
      </labl>
      <qstn>
        <qstnLit>
          The state by state of the data.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="37"/>
      </valrng>
      <sumStat type="vald">
        7557
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        37
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Abia
        </labl>
        <catStat type="freq">
          155
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Adamawa
        </labl>
        <catStat type="freq">
          247
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Akwa ibom
        </labl>
        <catStat type="freq">
          225
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Anambra
        </labl>
        <catStat type="freq">
          129
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Bauchi
        </labl>
        <catStat type="freq">
          157
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Bayelsa
        </labl>
        <catStat type="freq">
          85
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Benue
        </labl>
        <catStat type="freq">
          74
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Borno
        </labl>
        <catStat type="freq">
          237
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Cross_rivers
        </labl>
        <catStat type="freq">
          206
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Delta
        </labl>
        <catStat type="freq">
          189
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Ebonyi
        </labl>
        <catStat type="freq">
          220
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Edo
        </labl>
        <catStat type="freq">
          191
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Ekiti
        </labl>
        <catStat type="freq">
          142
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Enugu
        </labl>
        <catStat type="freq">
          168
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Gombe
        </labl>
        <catStat type="freq">
          267
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Imo
        </labl>
        <catStat type="freq">
          252
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Jigawa
        </labl>
        <catStat type="freq">
          247
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Kaduna
        </labl>
        <catStat type="freq">
          302
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Kano
        </labl>
        <catStat type="freq">
          336
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Katsina
        </labl>
        <catStat type="freq">
          225
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Kebbi
        </labl>
        <catStat type="freq">
          122
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Kogi
        </labl>
        <catStat type="freq">
          268
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Kwara
        </labl>
        <catStat type="freq">
          287
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Lagos
        </labl>
        <catStat type="freq">
          29
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Nassarawa
        </labl>
        <catStat type="freq">
          162
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Niger
        </labl>
        <catStat type="freq">
          235
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Ogun
        </labl>
        <catStat type="freq">
          151
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Ondo
        </labl>
        <catStat type="freq">
          151
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Osun
        </labl>
        <catStat type="freq">
          252
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Oyo
        </labl>
        <catStat type="freq">
          188
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Plateau
        </labl>
        <catStat type="freq">
          176
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Rivers
        </labl>
        <catStat type="freq">
          323
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Sokoto
        </labl>
        <catStat type="freq">
          414
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Taraba
        </labl>
        <catStat type="freq">
          258
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Yobe
        </labl>
        <catStat type="freq">
          138
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Zamfara
        </labl>
        <catStat type="freq">
          133
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          FCT
        </labl>
        <catStat type="freq">
          216
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V64" name="lga" files="F5" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        LOCAL GOVT. AREA
      </labl>
      <qstn>
        <qstnLit>
          The local goverment of the area in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="60"/>
      </valrng>
      <sumStat type="vald">
        7557
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        60
      </sumStat>
      <sumStat type="mean">
        11.468
      </sumStat>
      <sumStat type="stdev">
        7.749
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V65" name="eacode" files="F5" dcml="0" intrvl="contin">
      <location width="4"/>
      <labl>
        ENUMERATION AREA CODE
      </labl>
      <qstn>
        <qstnLit>
          The enumeration area of the local government in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="8087"/>
      </valrng>
      <sumStat type="vald">
        7557
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8087
      </sumStat>
      <sumStat type="mean">
        242.546
      </sumStat>
      <sumStat type="stdev">
        290.254
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V66" name="ric" files="F5" dcml="0" intrvl="contin">
      <location width="4"/>
      <labl>
        REPLICATE CODE
      </labl>
      <qstn>
        <qstnLit>
          The Replicate code of the EA in the loacl government in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="4" max="1309"/>
      </valrng>
      <sumStat type="vald">
        7557
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        4
      </sumStat>
      <sumStat type="max">
        1309
      </sumStat>
      <sumStat type="mean">
        935.331
      </sumStat>
      <sumStat type="stdev">
        195.787
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V67" name="hhno" files="F5" dcml="0" intrvl="contin">
      <location width="3"/>
      <labl>
        HOUSEHOLD NO
      </labl>
      <qstn>
        <qstnLit>
          The Household serial number
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="362"/>
      </valrng>
      <sumStat type="vald">
        7551
      </sumStat>
      <sumStat type="invd">
        6
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        362
      </sumStat>
      <sumStat type="mean">
        27.736
      </sumStat>
      <sumStat type="stdev">
        31.912
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V68" name="itemcode" files="F5" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        ITEM CODES
      </labl>
      <qstn>
        <preQTxt>
          Here is for other farm expenditures for only crops or plots of farm cultivated in the year.
        </preQTxt>
        <qstnLit>
          <![CDATA[The farm activity are:
1	PLANTING
2	FERTIZER APPLICATION
3	WEEDING
4	HERBICIDES
5	PESTICIDES
6	HARVESTING
7	THRESHING
8	MILLING
9	TRANSPORTATION
10	STORAGE
11	PACKAGING
12	OTHERS]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="19"/>
      </valrng>
      <sumStat type="vald">
        7557
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        19
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          PLANTING
        </labl>
        <catStat type="freq">
          1707
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          FERTIZER APPLICATION
        </labl>
        <catStat type="freq">
          1039
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          WEEDING
        </labl>
        <catStat type="freq">
          1793
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          HERBICIDES
        </labl>
        <catStat type="freq">
          183
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          PESTICIDES
        </labl>
        <catStat type="freq">
          264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          HARVESTING
        </labl>
        <catStat type="freq">
          978
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          THRESHING
        </labl>
        <catStat type="freq">
          174
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          MILLING
        </labl>
        <catStat type="freq">
          43
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          TRANSPORTATION
        </labl>
        <catStat type="freq">
          759
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          STORAGE
        </labl>
        <catStat type="freq">
          170
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          PACKAGING
        </labl>
        <catStat type="freq">
          222
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          OTHERS
        </labl>
        <catStat type="freq">
          224
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V69" name="hour" files="F5" dcml="2" intrvl="contin">
      <location width="8"/>
      <labl>
        NO. OF HOURS USED
      </labl>
      <qstn>
        <qstnLit>
          What was the number of hours used?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="81600"/>
      </valrng>
      <sumStat type="vald">
        7449
      </sumStat>
      <sumStat type="invd">
        108
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        81600
      </sumStat>
      <sumStat type="mean">
        413.197
      </sumStat>
      <sumStat type="stdev">
        2359.495
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V70" name="price" files="F5" dcml="2" intrvl="contin">
      <location width="9"/>
      <labl>
        VALUE PER UNIT
      </labl>
      <qstn>
        <qstnLit>
          What was the value per hour?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="900000"/>
      </valrng>
      <sumStat type="vald">
        7324
      </sumStat>
      <sumStat type="invd">
        233
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        900000
      </sumStat>
      <sumStat type="mean">
        2456.526
      </sumStat>
      <sumStat type="stdev">
        27480.866
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V71" name="hid" files="F5" intrvl="discrete">
      <location width="15"/>
      <labl>
        IDENTIFICATION
      </labl>
      <qstn/>
      <sumStat type="vald">
        7557
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        The group variables for the identification.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V72" name="eaid" files="F5" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        RENUMBERING
      </labl>
      <qstn/>
      <valrng>
        <range UNITS="REAL" min="1" max="44"/>
      </valrng>
      <sumStat type="vald">
        7557
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        44
      </sumStat>
      <sumStat type="mean">
        8.479
      </sumStat>
      <sumStat type="stdev">
        6.697
      </sumStat>
      <codInstr>
        The Enumiration Area renumbering for easy identification.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V73" name="id" files="F5" dcml="0" intrvl="contin">
      <location width="14"/>
      <labl>
        IDENTIFICATION
      </labl>
      <qstn/>
      <valrng>
        <range UNITS="REAL" min="100390050301" max="3702571340105"/>
      </valrng>
      <sumStat type="vald">
        7551
      </sumStat>
      <sumStat type="invd">
        6
      </sumStat>
      <sumStat type="min">
        100390050301
      </sumStat>
      <sumStat type="max">
        3702571340105
      </sumStat>
      <sumStat type="mean">
        1984323215153.53
      </sumStat>
      <sumStat type="stdev">
        1043477483886.46
      </sumStat>
      <codInstr>
        The group variables for the identification.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V152" name="state" files="F10" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        STATE
      </labl>
      <qstn>
        <qstnLit>
          The state by state of the data.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="37"/>
      </valrng>
      <sumStat type="vald">
        3150
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        37
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Abia
        </labl>
        <catStat type="freq">
          87
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Adamawa
        </labl>
        <catStat type="freq">
          96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Akwa ibom
        </labl>
        <catStat type="freq">
          82
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Anambra
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Bauchi
        </labl>
        <catStat type="freq">
          79
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Bayelsa
        </labl>
        <catStat type="freq">
          117
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Benue
        </labl>
        <catStat type="freq">
          73
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Borno
        </labl>
        <catStat type="freq">
          95
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Cross_rivers
        </labl>
        <catStat type="freq">
          84
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Delta
        </labl>
        <catStat type="freq">
          73
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Ebonyi
        </labl>
        <catStat type="freq">
          95
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Edo
        </labl>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Ekiti
        </labl>
        <catStat type="freq">
          96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Enugu
        </labl>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Gombe
        </labl>
        <catStat type="freq">
          78
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Imo
        </labl>
        <catStat type="freq">
          96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Jigawa
        </labl>
        <catStat type="freq">
          50
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Kaduna
        </labl>
        <catStat type="freq">
          98
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Kano
        </labl>
        <catStat type="freq">
          93
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Katsina
        </labl>
        <catStat type="freq">
          70
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Kebbi
        </labl>
        <catStat type="freq">
          99
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Kogi
        </labl>
        <catStat type="freq">
          71
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Kwara
        </labl>
        <catStat type="freq">
          90
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Lagos
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Nassarawa
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Niger
        </labl>
        <catStat type="freq">
          90
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Ogun
        </labl>
        <catStat type="freq">
          76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Ondo
        </labl>
        <catStat type="freq">
          74
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Osun
        </labl>
        <catStat type="freq">
          81
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Oyo
        </labl>
        <catStat type="freq">
          65
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Plateau
        </labl>
        <catStat type="freq">
          85
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Rivers
        </labl>
        <catStat type="freq">
          149
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Sokoto
        </labl>
        <catStat type="freq">
          94
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Taraba
        </labl>
        <catStat type="freq">
          69
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Yobe
        </labl>
        <catStat type="freq">
          114
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Zamfara
        </labl>
        <catStat type="freq">
          87
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          FCT
        </labl>
        <catStat type="freq">
          89
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V153" name="lga" files="F10" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        LOCAL GOVT. AREA
      </labl>
      <qstn>
        <qstnLit>
          The local goverment of the area in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="60"/>
      </valrng>
      <sumStat type="vald">
        3150
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        60
      </sumStat>
      <sumStat type="mean">
        11.373
      </sumStat>
      <sumStat type="stdev">
        7.766
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V154" name="eacode" files="F10" dcml="0" intrvl="contin">
      <location width="4"/>
      <labl>
        ENUMERATION AREA CODE
      </labl>
      <qstn>
        <qstnLit>
          The enumeration area of the local government in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="8087"/>
      </valrng>
      <sumStat type="vald">
        3150
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8087
      </sumStat>
      <sumStat type="mean">
        244.143
      </sumStat>
      <sumStat type="stdev">
        272.432
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V155" name="ric" files="F10" dcml="0" intrvl="contin">
      <location width="4"/>
      <labl>
        REPLICATE CODE
      </labl>
      <qstn>
        <qstnLit>
          The Replicate code of the EA in the loacl government in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="4" max="7011"/>
      </valrng>
      <sumStat type="vald">
        3150
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        4
      </sumStat>
      <sumStat type="max">
        7011
      </sumStat>
      <sumStat type="mean">
        939.799
      </sumStat>
      <sumStat type="stdev">
        223.829
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V156" name="hhno" files="F10" dcml="0" intrvl="contin">
      <location width="3"/>
      <labl>
        HOUSEHOLD NO
      </labl>
      <qstn>
        <qstnLit>
          The Household serial number
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="362"/>
      </valrng>
      <sumStat type="vald">
        3148
      </sumStat>
      <sumStat type="invd">
        2
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        362
      </sumStat>
      <sumStat type="mean">
        27.006
      </sumStat>
      <sumStat type="stdev">
        30.515
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V157" name="export" files="F10" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        IS PRODUCT EXPORTED?
      </labl>
      <qstn>
        <qstnLit>
          Do you export your product?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        3141
      </sumStat>
      <sumStat type="invd">
        9
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NO
        </labl>
        <catStat type="freq">
          3127
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          YES
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V158" name="where" files="F10" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        TO WHERE
      </labl>
      <qstn>
        <qstnLit>
          Where do you export to?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        1159
      </sumStat>
      <sumStat type="invd">
        1991
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <sumStat type="mean">
        0.000863
      </sumStat>
      <sumStat type="stdev">
        0.0294
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V159" name="weather1" files="F10" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        Q12WEATHER
      </labl>
      <qstn>
        <preQTxt>
          How do you compare the last farming season with the previous one?
        </preQTxt>
        <qstnLit>
          <![CDATA[What was the weather like?
1	BETTER
2	SAME
3	WORSE
4	DONT KNOW]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="4"/>
      </valrng>
      <sumStat type="vald">
        3124
      </sumStat>
      <sumStat type="invd">
        26
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        4
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          BETTER
        </labl>
        <catStat type="freq">
          2011
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          SAME
        </labl>
        <catStat type="freq">
          812
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          WORSE
        </labl>
        <catStat type="freq">
          191
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          DONT KNOW
        </labl>
        <catStat type="freq">
          110
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V160" name="harvest1" files="F10" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        Q12HARVEST
      </labl>
      <qstn>
        <preQTxt>
          How do you compare the last farming season with the previous one?
        </preQTxt>
        <qstnLit>
          <![CDATA[What about the Harvest/Output?
1	BETTER
2	SAME
3	WORSE
4	DONT KNOW]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="4"/>
      </valrng>
      <sumStat type="vald">
        3097
      </sumStat>
      <sumStat type="invd">
        53
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        4
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          BETTER
        </labl>
        <catStat type="freq">
          1989
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          SAME
        </labl>
        <catStat type="freq">
          817
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          WORSE
        </labl>
        <catStat type="freq">
          220
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          DONT KNOW
        </labl>
        <catStat type="freq">
          71
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V161" name="income1" files="F10" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        Q12INCOME
      </labl>
      <qstn>
        <preQTxt>
          How do you compare the last farming season with the previous one?
        </preQTxt>
        <qstnLit>
          <![CDATA[Which one is applicable to your income?
1	BETTER
2	SAME
3	WORSE
4	DONT KNOW]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="4"/>
      </valrng>
      <sumStat type="vald">
        3091
      </sumStat>
      <sumStat type="invd">
        59
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        4
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          BETTER
        </labl>
        <catStat type="freq">
          2019
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          SAME
        </labl>
        <catStat type="freq">
          715
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          WORSE
        </labl>
        <catStat type="freq">
          251
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          DONT KNOW
        </labl>
        <catStat type="freq">
          106
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V162" name="weather2" files="F10" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        Q13WEATHER
      </labl>
      <qstn>
        <preQTxt>
          What are your expectations for agricultural activities in the next farming season?
        </preQTxt>
        <qstnLit>
          <![CDATA[What are your expectations on the weather?
1	BETTER
2	SAME
3	WORSE
4	DONT KNOW]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="4"/>
      </valrng>
      <sumStat type="vald">
        3117
      </sumStat>
      <sumStat type="invd">
        33
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        4
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          BETTER
        </labl>
        <catStat type="freq">
          2189
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          SAME
        </labl>
        <catStat type="freq">
          360
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          WORSE
        </labl>
        <catStat type="freq">
          39
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          DONT KNOW
        </labl>
        <catStat type="freq">
          529
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V163" name="harvest2" files="F10" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        Q13HARVEST
      </labl>
      <qstn>
        <preQTxt>
          What are your expectations for agricultural activities in the next farming season?
        </preQTxt>
        <qstnLit>
          <![CDATA[What are your expectations on the Harvest/output?
1	BETTER
2	SAME
3	WORSE
4	DONT KNOW]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="4"/>
      </valrng>
      <sumStat type="vald">
        3077
      </sumStat>
      <sumStat type="invd">
        73
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        4
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          BETTER
        </labl>
        <catStat type="freq">
          2171
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          SAME
        </labl>
        <catStat type="freq">
          397
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          WORSE
        </labl>
        <catStat type="freq">
          43
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          DONT KNOW
        </labl>
        <catStat type="freq">
          465
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V164" name="income2" files="F10" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        Q13INCOME
      </labl>
      <qstn>
        <preQTxt>
          What are your expectations for agricultural activities in the next farming season?
        </preQTxt>
        <qstnLit>
          <![CDATA[What are your expectations on yuor income?
1	BETTER
2	SAME
3	WORSE
4	DONT KNOW]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="4"/>
      </valrng>
      <sumStat type="vald">
        3076
      </sumStat>
      <sumStat type="invd">
        74
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        4
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          BETTER
        </labl>
        <catStat type="freq">
          2205
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          SAME
        </labl>
        <catStat type="freq">
          328
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          WORSE
        </labl>
        <catStat type="freq">
          50
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          DONT KNOW
        </labl>
        <catStat type="freq">
          493
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V165" name="price" files="F10" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        PRICE
      </labl>
      <qstn>
        <preQTxt>
          What are your expectations for agricultural activities in the next farming season?
        </preQTxt>
        <qstnLit>
          <![CDATA[What are your expectations on the price?
1	BETTER
2	SAME
3	WORSE
4	DONT KNOW]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="4"/>
      </valrng>
      <sumStat type="vald">
        3056
      </sumStat>
      <sumStat type="invd">
        94
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        4
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          BETTER
        </labl>
        <catStat type="freq">
          2134
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          SAME
        </labl>
        <catStat type="freq">
          292
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          WORSE
        </labl>
        <catStat type="freq">
          62
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          DONT KNOW
        </labl>
        <catStat type="freq">
          564
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V166" name="hid" files="F10" intrvl="discrete">
      <location width="15"/>
      <labl>
        IDENTIFICATION
      </labl>
      <qstn/>
      <sumStat type="vald">
        3150
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        The group variables for the identification.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V167" name="eaid" files="F10" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        RENUMBERING
      </labl>
      <qstn/>
      <valrng>
        <range UNITS="REAL" min="1" max="10"/>
      </valrng>
      <sumStat type="vald">
        3150
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        10
      </sumStat>
      <sumStat type="mean">
        2.833
      </sumStat>
      <sumStat type="stdev">
        1.449
      </sumStat>
      <codInstr>
        The Enumiration Area renumbering for easy identification.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V168" name="id" files="F10" dcml="2" intrvl="contin">
      <location width="14"/>
      <labl>
        IDENTIFICATION
      </labl>
      <qstn/>
      <valrng>
        <range UNITS="REAL" min="1003900101" max="37025713405"/>
      </valrng>
      <sumStat type="vald">
        3148
      </sumStat>
      <sumStat type="invd">
        2
      </sumStat>
      <sumStat type="min">
        1003900101
      </sumStat>
      <sumStat type="max">
        37025713405
      </sumStat>
      <sumStat type="mean">
        19042215251.104
      </sumStat>
      <sumStat type="stdev">
        10970517779.418
      </sumStat>
      <codInstr>
        The group variables for the identification.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V234" name="state" files="F16" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        STATE
      </labl>
      <qstn>
        <qstnLit>
          The state by state of the data.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="37"/>
      </valrng>
      <sumStat type="vald">
        3144
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        37
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Abia
        </labl>
        <catStat type="freq">
          87
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Adamawa
        </labl>
        <catStat type="freq">
          96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Akwa ibom
        </labl>
        <catStat type="freq">
          82
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Anambra
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Bauchi
        </labl>
        <catStat type="freq">
          79
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Bayelsa
        </labl>
        <catStat type="freq">
          117
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Benue
        </labl>
        <catStat type="freq">
          73
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Borno
        </labl>
        <catStat type="freq">
          95
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Cross_rivers
        </labl>
        <catStat type="freq">
          84
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Delta
        </labl>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Ebonyi
        </labl>
        <catStat type="freq">
          95
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Edo
        </labl>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Ekiti
        </labl>
        <catStat type="freq">
          96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Enugu
        </labl>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Gombe
        </labl>
        <catStat type="freq">
          78
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Imo
        </labl>
        <catStat type="freq">
          96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Jigawa
        </labl>
        <catStat type="freq">
          50
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Kaduna
        </labl>
        <catStat type="freq">
          98
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Kano
        </labl>
        <catStat type="freq">
          93
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Katsina
        </labl>
        <catStat type="freq">
          70
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Kebbi
        </labl>
        <catStat type="freq">
          99
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Kogi
        </labl>
        <catStat type="freq">
          71
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Kwara
        </labl>
        <catStat type="freq">
          90
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Lagos
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Nassarawa
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Niger
        </labl>
        <catStat type="freq">
          90
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Ogun
        </labl>
        <catStat type="freq">
          75
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Ondo
        </labl>
        <catStat type="freq">
          74
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Osun
        </labl>
        <catStat type="freq">
          81
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Oyo
        </labl>
        <catStat type="freq">
          65
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Plateau
        </labl>
        <catStat type="freq">
          84
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Rivers
        </labl>
        <catStat type="freq">
          149
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Sokoto
        </labl>
        <catStat type="freq">
          94
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Taraba
        </labl>
        <catStat type="freq">
          69
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Yobe
        </labl>
        <catStat type="freq">
          114
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Zamfara
        </labl>
        <catStat type="freq">
          85
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          FCT
        </labl>
        <catStat type="freq">
          89
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V235" name="lga" files="F16" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        LOCAL GOVT. AREA
      </labl>
      <qstn>
        <qstnLit>
          The local goverment of the area in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="60"/>
      </valrng>
      <sumStat type="vald">
        3144
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        60
      </sumStat>
      <sumStat type="mean">
        11.367
      </sumStat>
      <sumStat type="stdev">
        7.769
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V236" name="eacode" files="F16" dcml="0" intrvl="contin">
      <location width="4"/>
      <labl>
        ENUMERATION AREA CODE
      </labl>
      <qstn>
        <qstnLit>
          The enumeration area of the local government in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="8087"/>
      </valrng>
      <sumStat type="vald">
        3144
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8087
      </sumStat>
      <sumStat type="mean">
        244.069
      </sumStat>
      <sumStat type="stdev">
        272.49
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V237" name="ric" files="F16" dcml="0" intrvl="contin">
      <location width="4"/>
      <labl>
        REPLICATE CODE
      </labl>
      <qstn>
        <qstnLit>
          The Replicate code of the EA in the loacl government in each state.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="4" max="7011"/>
      </valrng>
      <sumStat type="vald">
        3144
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        4
      </sumStat>
      <sumStat type="max">
        7011
      </sumStat>
      <sumStat type="mean">
        939.893
      </sumStat>
      <sumStat type="stdev">
        223.926
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V238" name="hhno" files="F16" dcml="0" intrvl="contin">
      <location width="3"/>
      <labl>
        HOUSEHOLD NO
      </labl>
      <qstn>
        <qstnLit>
          The Household serial number
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="362"/>
      </valrng>
      <sumStat type="vald">
        3142
      </sumStat>
      <sumStat type="invd">
        2
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        362
      </sumStat>
      <sumStat type="mean">
        27.021
      </sumStat>
      <sumStat type="stdev">
        30.52
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V239" name="highcost" files="F16" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        HIGH COST
      </labl>
      <qstn>
        <preQTxt>
          What problems do you encounter when purchasing farm tools?
        </preQTxt>
        <qstnLit>
          Is it High cost?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        3144
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NO
        </labl>
        <catStat type="freq">
          2280
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          YES
        </labl>
        <catStat type="freq">
          864
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V240" name="ltrans" files="F16" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        LACK OF TRANSPORTATION
      </labl>
      <qstn>
        <preQTxt>
          What problems do you encounter when purchasing farm tools?
        </preQTxt>
        <qstnLit>
          Is it lack of Transportation?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        3144
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NO
        </labl>
        <catStat type="freq">
          2687
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          YES
        </labl>
        <catStat type="freq">
          457
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V241" name="nomoney" files="F16" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        NO MONEY/LACK OF FUND
      </labl>
      <qstn>
        <preQTxt>
          What problems do you encounter when purchasing farm tools?
        </preQTxt>
        <qstnLit>
          Is it no money or lack of fund?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        3144
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NO
        </labl>
        <catStat type="freq">
          1953
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          YES
        </labl>
        <catStat type="freq">
          1191
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V242" name="poorroad" files="F16" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        POOR/BAD ROAD
      </labl>
      <qstn>
        <preQTxt>
          What problems do you encounter when purchasing farm tools?
        </preQTxt>
        <qstnLit>
          Is it the poor or bad road?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        3144
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NO
        </labl>
        <catStat type="freq">
          2942
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          YES
        </labl>
        <catStat type="freq">
          202
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V243" name="phealth" files="F16" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        POOR HEALTH
      </labl>
      <qstn>
        <preQTxt>
          What problems do you encounter when purchasing farm tools?
        </preQTxt>
        <qstnLit>
          Is it poor health?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        3144
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NO
        </labl>
        <catStat type="freq">
          3137
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          YES
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V244" name="toofar" files="F16" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        TOO FAR TO OBTAIN
      </labl>
      <qstn>
        <preQTxt>
          What problems do you encounter when purchasing farm tools?
        </preQTxt>
        <qstnLit>
          I it ott far to obtain?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        3144
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NO
        </labl>
        <catStat type="freq">
          3021
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          YES
        </labl>
        <catStat type="freq">
          123
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V245" name="notavail" files="F16" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        NOT AVAILABLE/SCARCE
      </labl>
      <qstn>
        <preQTxt>
          What problems do you encounter when purchasing farm tools?
        </preQTxt>
        <qstnLit>
          It is not availableor scarce?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        3144
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NO
        </labl>
        <catStat type="freq">
          2669
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          YES
        </labl>
        <catStat type="freq">
          475
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V246" name="dontknow" files="F16" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        DON'T KNOW
      </labl>
      <qstn>
        <preQTxt>
          What problems do you encounter when purchasing farm tools?
        </preQTxt>
        <qstnLit>
          Is it because you don't know?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        3144
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NO
        </labl>
        <catStat type="freq">
          3120
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          YES
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V247" name="others" files="F16" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        OTHERS
      </labl>
      <qstn>
        <preQTxt>
          What problems do you encounter when purchasing farm tools?
        </preQTxt>
        <qstnLit>
          Any other reasons?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        3144
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NO
        </labl>
        <catStat type="freq">
          2707
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          YES
        </labl>
        <catStat type="freq">
          437
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V248" name="irrigate" files="F16" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        INCREASE IRRIGATION
      </labl>
      <qstn>
        <preQTxt>
          Give any suggestion which you consider, might be helpful in improving agricultural activities in the country
        </preQTxt>
        <qstnLit>
          Is it increase irrigation?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        3142
      </sumStat>
      <sumStat type="invd">
        2
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NO
        </labl>
        <catStat type="freq">
          1822
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          YES
        </labl>
        <catStat type="freq">
          1320
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V249" name="creditfa" files="F16" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        IMPROVED CREDIT FACILITIES
      </labl>
      <qstn>
        <preQTxt>
          Give any suggestion which you consider, might be helpful in improving agricultural activities in the country
        </preQTxt>
        <qstnLit>
          Is it improved credit facilities?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        3142
      </sumStat>
      <sumStat type="invd">
        2
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NO
        </labl>
        <catStat type="freq">
          254
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          YES
        </labl>
        <catStat type="freq">
          2888
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V250" name="cheapser" files="F16" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        CHEAP/AFFODABLE TRACTOR SERVICES
      </labl>
      <qstn>
        <preQTxt>
          Give any suggestion which you consider, might be helpful in improving agricultural activities in the country
        </preQTxt>
        <qstnLit>
          Is it cheap/affodable tractor?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        3142
      </sumStat>
      <sumStat type="invd">
        2
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NO
        </labl>
        <catStat type="freq">
          1128
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          YES
        </labl>
        <catStat type="freq">
          2014
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V251" name="imprseed" files="F16" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        IMPROVED SEEDLING/SEED
      </labl>
      <qstn>
        <preQTxt>
          Give any suggestion which you consider, might be helpful in improving agricultural activities in the country
        </preQTxt>
        <qstnLit>
          Can it be improved seedling/seed?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        3142
      </sumStat>
      <sumStat type="invd">
        2
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NO
        </labl>
        <catStat type="freq">
          868
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          YES
        </labl>
        <catStat type="freq">
          2274
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V252" name="imprstof" files="F16" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        IMPROVED STORAGE FACILITIES
      </labl>
      <qstn>
        <preQTxt>
          Give any suggestion which you consider, might be helpful in improving agricultural activities in the country
        </preQTxt>
        <qstnLit>
          Can it be storage facilities?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        3142
      </sumStat>
      <sumStat type="invd">
        2
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NO
        </labl>
        <catStat type="freq">
          1510
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          YES
        </labl>
        <catStat type="freq">
          1632
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V253" name="imprpocf" files="F16" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        IMPROVED PROCESSING FACILITIES
      </labl>
      <qstn>
        <preQTxt>
          Give any suggestion which you consider, might be helpful in improving agricultural activities in the country
        </preQTxt>
        <qstnLit>
          Can it be improved processing facilities?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        3142
      </sumStat>
      <sumStat type="invd">
        2
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NO
        </labl>
        <catStat type="freq">
          1350
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          YES
        </labl>
        <catStat type="freq">
          1792
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V254" name="goodpric" files="F16" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        GOOD PRICE POLICY/WEED-OUT OF MIDDLEMEN
      </labl>
      <qstn>
        <preQTxt>
          Give any suggestion which you consider, might be helpful in improving agricultural activities in the country
        </preQTxt>
        <qstnLit>
          Can it be the good price policy/weed out of middlemen?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        3142
      </sumStat>
      <sumStat type="invd">
        2
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NO
        </labl>
        <catStat type="freq">
          1119
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          YES
        </labl>
        <catStat type="freq">
          2023
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V255" name="others15" files="F16" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        OTHERS
      </labl>
      <qstn>
        <preQTxt>
          Give any suggestion which you consider, might be helpful in improving agricultural activities in the country
        </preQTxt>
        <qstnLit>
          Any other one?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        3142
      </sumStat>
      <sumStat type="invd">
        2
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NO
        </labl>
        <catStat type="freq">
          2568
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          YES
        </labl>
        <catStat type="freq">
          574
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V256" name="credit" files="F16" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        CREDIT
      </labl>
      <qstn>
        <preQTxt>
          In what ways can government assist you?
        </preQTxt>
        <qstnLit>
          Do you needs assistant on Credit?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        3142
      </sumStat>
      <sumStat type="invd">
        2
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NO
        </labl>
        <catStat type="freq">
          228
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          YES
        </labl>
        <catStat type="freq">
          2914
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V257" name="land" files="F16" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        LAND
      </labl>
      <qstn>
        <preQTxt>
          In what ways can government assist you?
        </preQTxt>
        <qstnLit>
          Do you needs assistant on Land?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        3142
      </sumStat>
      <sumStat type="invd">
        2
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NO
        </labl>
        <catStat type="freq">
          2057
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          YES
        </labl>
        <catStat type="freq">
          1085
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V258" name="input" files="F16" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        INPUT
      </labl>
      <qstn>
        <preQTxt>
          In what ways can government assist you?
        </preQTxt>
        <qstnLit>
          Do you needs assistant on Input?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        3142
      </sumStat>
      <sumStat type="invd">
        2
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NO
        </labl>
        <catStat type="freq">
          1169
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          YES
        </labl>
        <catStat type="freq">
          1973
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V259" name="infrastr" files="F16" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        INFRASTRUCTURE
      </labl>
      <qstn>
        <preQTxt>
          In what ways can government assist you?
        </preQTxt>
        <qstnLit>
          Do you needs assistant on Infrastructure?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        3142
      </sumStat>
      <sumStat type="invd">
        2
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NO
        </labl>
        <catStat type="freq">
          1263
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          YES
        </labl>
        <catStat type="freq">
          1879
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V260" name="others16" files="F16" dcml="0" intrvl="contin">
      <location width="1"/>
      <labl>
        OTHERS
      </labl>
      <qstn>
        <preQTxt>
          In what ways can government assist you?
        </preQTxt>
        <qstnLit>
          Do you needs assistant on ony other ways?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        3139
      </sumStat>
      <sumStat type="invd">
        5
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NO
        </labl>
        <catStat type="freq">
          2468
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          YES
        </labl>
        <catStat type="freq">
          671
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V261" name="hid" files="F16" intrvl="discrete">
      <location width="15"/>
      <labl>
        IDENTIFICATION
      </labl>
      <qstn/>
      <sumStat type="vald">
        3144
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        The group variables for the identification.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V262" name="eaid" files="F16" dcml="0" intrvl="contin">
      <location width="2"/>
      <labl>
        RENUMBERING
      </labl>
      <qstn/>
      <valrng>
        <range UNITS="REAL" min="1" max="10"/>
      </valrng>
      <sumStat type="vald">
        3144
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        10
      </sumStat>
      <sumStat type="mean">
        2.83
      </sumStat>
      <sumStat type="stdev">
        1.448
      </sumStat>
      <codInstr>
        The Enumiration Area renumbering for easy identification.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V263" name="id" files="F16" dcml="0" intrvl="contin">
      <location width="14"/>
      <labl>
        IDENTIFICATION
      </labl>
      <qstn/>
      <valrng>
        <range UNITS="REAL" min="1003900101" max="37025713405"/>
      </valrng>
      <sumStat type="vald">
        3142
      </sumStat>
      <sumStat type="invd">
        2
      </sumStat>
      <sumStat type="min">
        1003900101
      </sumStat>
      <sumStat type="max">
        37025713405
      </sumStat>
      <sumStat type="mean">
        19026328389.304
      </sumStat>
      <sumStat type="stdev">
        10968081367.672
      </sumStat>
      <codInstr>
        The group variables for the identification.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
  </dataDscr>
</codeBook>
