National Survey of Agricultural Export Commodities 2007
Fourth round

Nigeria, 2007

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Reference ID

NGA-NBS-AGREXP-2007-v1.0

Producer(s)

National Bureau of Statistics (NBS)

Collections

AGRICULTURE AND FOOD SECURITY

Metadata

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Created on

Oct 18, 2010

Last modified

Dec 02, 2013

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Identification

Survey ID number

NGA-NBS-AGREXP-2007-v1.0

Title

National Survey of Agricultural Export Commodities 2007

Subtitle

Fourth round

Abbreviation or Acronym

AGREXP-2007

Translated Title

No translation

Country

Name	Country code
Nigeria	NGA

Study type

Agricultural Survey [ag/oth]

Series Information

This edition is the fourth in the series of survey project conducted by the Technical Committee of the Consultative Committee on Agricultural Export Commodity Statistics (CCAECS). Fourteen crops were studied in the past three surveys; two crops (Cassava &
Kolanut) were however added during the 2006/07 survey year.

The survey was jointly carried out by four federal agencies namely: National Bureau ofStatistics (NBS), Central Bank of Nigeria (CBN), Federal Ministry of Agriculture & Water Resources (FMA&WR) and Federal Ministry of Commerce and Industry (FMC&I).

Abstract

This edition is the fourth in the series of survey project conducted .

The survey covered the following sixteen crops: Cashew, Cassava, Cocoa, Coffee, Cotton, Garlic, Ginger, Groundnut, Gum Arabic, Kolanut, Oil Palm Rubber, Sesame seed, Sheanut, Sugar cane and Tea.
A holder is the person who owns a holding, and is therefore entitled to the proceeds from the holding.

This means additional two crops were introduced to the survey

The major objectives of the survey include:

i. To ascertain the spread of the cultivation of each of the sixteen export crops within Nigeria in terms of area cultivated by State.
ii. To provide a national basic data series on agricultural export commodities.
iii. To provide structural data on agricultural export commodities in Nigeria.
iv. To obtain socio-economic data and demographic characteristics of holders within households.
v. To provide production estimates at national and State levels.

Kind of Data

Sample survey data [ssd]

Unit of Analysis

Household export crop production

Version

Version Description

Version 1.0(March 2009)

Version Date

2009-03-04

Version Notes

The general review of the documentation

Scope

Notes

The scope for data collected was as follows:
– Access to land by type of tenure
– Area cultivated under each crop
– Production in terms of output of each crop
– Use of farm inputs: fertilizer, pesticides and seedlings
– Access to credit facilities
– Employment
– Market channels
– Farmgate and open market prices
– Consumption from own-production
– Transportation and storage
– Use and access to farm implements.

Topics

Topic	Vocabulary	URI
agricultural, forestry and rural industry [2.1]	CESSDA	http://www.nesstar.org/rdf/common
employment [3.1]	CESSDA	http://www.nesstar.org/rdf/common
working conditions [3.6]	CESSDA	http://www.nesstar.org/rdf/common
government, political systems and organisations [4.4]	CESSDA	http://www.nesstar.org/rdf/common
basic skills education [6.1]	CESSDA	http://www.nesstar.org/rdf/common
gender and gender roles [12.6]	CESSDA	http://www.nesstar.org/rdf/common
community, urban and rural life [13.1]	CESSDA	http://www.nesstar.org/rdf/common

Coverage

Geographic Coverage

National State

Universe

Household export crop holder Modern Agricultural export crop Holders

Producers and sponsors

Primary investigators

Name	Affiliation
National Bureau of Statistics (NBS)	Federal Government of Nigeria (FGN)

Producers

Name	Affiliation	Role
Central Bank of Nigeria	Fedral Government of Nigeria (FGN)	collaboration
Federal Ministry of Agriculture & Rural Development	Fedral Government of Nigeria (FGN)	collaboration
Federal Ministry of Commerce	Fedral Government of Nigeria (FGN)	collaboration

Funding Agency/Sponsor

Name	Abbreviation	Role
National Bureau of Statistics	NBS	Technical Surport
Central Bank of Nigeria	CBN	Funding

Other Identifications/Acknowledgments

Name	Affiliation	Role
Ministry Department and Agency	MDAs	Technical Surport

Sampling

Sampling Procedure

192 LGAs were selected nationwide.

A 2-stage sample design was employed. In the first stage,I0 EAs were systematically selected from each sampled LGA. Of the expected 1,920 EAs, only 1,855 were found to have export crops and were eventually studied.

In the second stage, 10 export crop farming housing units were systematically selected from each sampled EA (provided there were more than 10 farming housing units in the EA). Where there were 10 or less farming housing units, no selection was required and all available housing units were
studied.

Out of the 18,550 export crop farming housing units expected to be covered, 15,583 were canvassed.

Deviations from the Sample Design

No deviations

Response Rate

On National basis, 100 percent response rate was acheived at LGA level.

96.61 percent at EA level while

84.00 percent was acheived at export crop farming housing units level.

Reasons for non-response was not given.

Weighting

The variable (rf ) raising factor is computed and attached to the data file.

The formula adopted in calculating the design weights for the survey data (sample results) were as follows:
(i) The probability of selecting an EA within a state was obtained by dividing the total number of EAs sampled in a state by total number of EAs in that particular state. Let this be represented by fj. That is,
fj = Total Number of EAs sampled in a state
Total Number of EAs in that particular State

(ii) Likewise, the probability of selecting an housing unit (HU) within an EA was obtained by dividing the total number of housing units selected in an EA by the total number of housing units (HUs) listed in that particular EA. Let this be represented by fk. That is,
fk = Total Number of HUs selected in an EA
Total Number of HUs listed in that particular EA
Mathematically,
Design weight = Total number of EAs in a state
Total number of EAs sampled in that particular state
X
Total Number of HUs listed in an EA
Total Number of HUs selected in that particular EA

Survey instrument

Questionnaires

Holding Questionnaire on Export crop
The questionnaire has a total of thirteen section, and each section contains different parts.
Holding identification (front page)
Section (i) Holding Characteristics (Qu. 1-3)
Section (ii) Access to land (Qu.4-6)
Section (iii) Sources of fund (Qu.7)
Section (iv) Export-crop farming (Qu.8-10)
Section (v) Farm implements (Qu.11-14)
Section (vi) Storage/Processing (Qu.15-18)
Section (vii) Employment in export crop farms (Qu.19)
Section (viii) Market channels (Qu.20)
Section (ix) Farm gate sales (Qu.21)
Section (x) Open market sales (Qu.22&23)
Section (xi) Consumption from own production (Qu.24)
Section (xii) Use of fertilizers (Qu.25-31)
Section (xiii) Use of pesticides, insecticides/herbicides(Qu.32-37)
Section (xiv) Use of improved seedlings/seeds (Qu.38-43)

Methodology notes

During the listing exercise, ten (10) export farming housing units (EFHUs) were selected
for coverage. Thereafter, the Enumerators administered the holding questionnaire(s) to all
qualified agricultural export commodity farmers in each of the selected EAs, which lasted
for two weeks. Through this exercise, relevant information on production, processing,
market channels, credit facilities, farm inputs and other agronomic indicators were
obtained from the farmers.

Supervisor/Quality Check
In order to ensure high quality data, two phase quality check exercises were put in place.
During the first exercise, the officers skim-checked and spot-checked ten listing forms
and ten selected holding questionnaires in the selected EAs in each State and FCT.
Farmers were randomly selected and visited on their farms to authenticate the data entries
made by enumerators.

Data collection

Dates of Data Collection

Start	End	Cycle
2007-09-01	2007-09-21	20 days

Time Method

2004/2005

Mode of data collection

Face-to-face [f2f]

Data Collectors

Name	Affiliation	Abbreviation
National Bureau of Statistics	Fedral Government of Nigeria (FGN)	NBS

Supervision

SUPERVISION/QUALITY CHECK

In order to ensure a high quality data, two phased quality check exercises were put in place. During the first exercise, the officers skim-checked and spot-checked the listing forms and ten selected questionnaires in the selected EAs in each State and FCT. Farmers were randomly selected and visited on their farms to authenticate the data entries made by enumerators.

In the second exercise, the headquarters based quality check was carried out by the highly trained officers from Federal Ministry of Agriculture & Rural Development, Federal Ministry of Commerce, National Bureau of Statistics and the Central Bank of Nigeria. This exercise was carried out in eighteen weak states (i.e. three states per zone) which lasted for three days.

Data Collection Notes

Three levels of training were conducted before the fieldwork. Training of the Trainers (TOT) was conducted for the members of the Technical Sub-committee at CBN Headquarters, Abuja for one day. Out of 24 officers trained at the first level training, 12
trainers were chosen to handle the second level training in the six geo-political zones of the Federation.

During the second level training, 117 participants comprising Zonal Controllers, State Officers and Field Officers of the National Bureau of Statistics were trained for one day.

The third level training took place in each of the 36 State capitals and FCT where a total of five hundred and fifty five (555) enumerators and one hundred and eighty five (185) supervisors of the National Bureau of statistics were trained for one day.

Data Collection Strategy
The NBS permanent field staff carried out the data collection during the survey year. Each household head or a responsible adult in the household gave information about the household visited.

The field staff included enumerators and supervisors while the field coordinators comprised the State Officers and Zonal ontrollers. Each State Officer coordinated all field operations, while the Zonal Controllers supervised the States in their respective zones.

Data processing

Data Editing

Data Retrieval/Storage
The retrieved questionnaires were submitted at local government sub-offices. Subsequently, the questionnaires were batched according to EAs and taken to the NBS States’ offices and finally to the zonal headquarters (Ibadan, Enugu, Calabar, Maiduguri,
Kaduna, and Jos).

Data Processing/Analysis
The completed questionnaires were collated and edited manually before data entry operation was carried out by the NBS staff in the six designated NBS zonal headquarters. Machine data editing, table generation and analysis were carried out by NBS staff at NBS headquarters, Abuja, followed by report writing by the Consultative Committee on Agricultural Export Commodity Statistics (CCAECS).

(a) The data entry was done manually
(b) The data entry was done in lagos at (csd) cencus and surey division
(c) Six operator plus two suppervissor and two progammer were used
(d) Six machines were used for data entry
(e) The data entry staff used 20 days to do the entries
(f) The supervisor use 5 days to checked the entries
(g) progarm was written to convert the data to spss also provided as external resource

Data appraisal

Estimates of Sampling Error

No sampling error estimate

Data Appraisal

Apparently, the results from these four surveys have added value to agricultural production in the country. This effort has also gone a long way to assist both government and non-government agencies in addressing the unfortunate situation of scarcity of
reliable statistical data on export crops.

Distributor information

Distributor

Organization name	Abbreviation	Affiliation
Central Bank of Nigeria	CBN	FEDRAL GOVERNMENT OF NIGERIA
Federal Ministry of Agriculture and Rural Development	FMA&RD	FEDRAL GOVERNMENT OF NIGERIA
Federal Ministry of Commerce	FMC	FEDRAL GOVERNMENT OF NIGERIA

Data Access

Access authority

Name	Affiliation	URL	Email
National Bureau of Statistics (NBS)	Federal Government of Nigeria (FGN)	http://www.nigerianstat.gov.ng	feedback@nigerianstat.gov.ng

Confidentiality

Is signing of a confidentiality declaration required?	Confidentiality declaration text
yes	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.

Access 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.

Citation requirements

National Bureau of Statistics, Nigeria, National Survey of Agricultural Export Commodities 2007-v1.0

Disclaimer and copyrights

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.

Contacts

Name	Affiliation	Email	URL
Dr V.O. Akinyosoye	Director General	voakinyosoye@nigerianstat.gov.ng	http://www.nigerianstat.gov.ng
DR G.O. Adewoye	Director Census & Surveys	georgeadewoye@yahoo.com	http://www.nigerianstat.gov.ng
Mrs A.N. Adewimbi	Head of Information and Comnucation Technology Department	anadewimbi@yahoo.com	http://www.nigerianstat.gov.ng
Biyi Fafunmi	Data Access	biyifafunmi@nigerianstat.gov.ng	http://www.nigerianstat.gov.ng
Mrs A. A. Akinsanya	Data Archivist	paakinsanya@nigerianstat.gov.ng	http://www.nigerianstat.gov.ng
Mr R.F. Busari	ICT	rfbusari@nigerianstat.gov.ng	http://www.nigerianstat.gov.ng
National Bureau of Statistics (NBS)	Fedral Government of Nigeria (FGN)	feedback@nigerianstat.gov.ng	http://www.nigerianstat.gov.ng

Metadata production

DDI Document ID

DDI-NGA-NBS-AGREXP-2007-v1.0