Private farmer-Livestock-Poultry-2006
Third edition

Nigeria, 2007

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Reference ID

NGA-NBS-LIVESTOCK-POULTRY-2006-v1.0

Producer(s)

National Bureau of Statistics (NBS)

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Oct 18, 2010

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Jan 07, 2014

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Identification

Survey ID number

NGA-NBS-LIVESTOCK-POULTRY-2006-v1.0

Title

Private farmer-Livestock-Poultry-2006

Subtitle

Third edition

Abbreviation or Acronym

NBS-LIVESTOCK-POULTRY-2006

Translated Title

No translation

Country

Name	Country code
Nigeria	NGA

Study type

Agricultural Survey [ag/oth]

Series Information

This Private farmer-Livestock/Poultry is the 3rd 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, 2005 and 2006 being the current one. However the Private farmer-Livestock/Poultry is a regular survey of the National Bureau of Statistics conducted on quarterly basis before the collaboration was initiated

Abstract

The Private farmer-Livestock/Poultry is a brainchild of the National Bureau of Statistics (NBS) and is often referred to as Regular survey carried out on quarterly basis by the NBS over the years. In recent times, starting from 2004 to be precise, there is a collaborative effort between the NBS and the CBN in 2004 and 2005 and in 2006 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.

Kind of Data

Sample survey data [ssd]

Unit of Analysis

Household based of livestock and poultry farmers

Version

Version Description

Version 1.0

Version Date

2008-09-03

Scope

Notes

The section in the questionaire
· Identification
. Type of livestock Kept
. Type of Poultry Kept
. Sources livestock Input
. Sources Poultry Input
. Input Utilization(Livestock)
. Input Utilization(Poultry)
. Stocks and Changes in Stocks
. Stocks and Changes in Stock of Poultry/Dairy Products
. Loss as a result of bird flu
. Sales of Livestock
. Sales of Poultry
. Sources of funds
· Livestock
· Poultry
· Processing facilities
· Subsidy
· Stock
· Preservation methods
. Sales of produce
. Export your produce
. Compare the current livestock farming season with the previous
. Expectations for livestock activities in the next farming season?
. Problems do you encounter when purchasing livestock/poultry inputs?
. Problems do you encounter when purchasing livestock/poultry tools?
. Problems do you encounter during production process?
. Problems do you have during processing and storage?
. Improvinglivestock/poultry farming activities in the Country?
. Government assisttance
. Aaccess to any of the following ICT facilities?

Topics

Topic	Vocabulary	URI
consumption/consumer behaviour [1.1]	CESSDA	http://www.nesstar.org/rdf/common
rural economics [1.6]	CESSDA	http://www.nesstar.org/rdf/common
agricultural, forestry and rural industry [2.1]	CESSDA	http://www.nesstar.org/rdf/common
business/industrial management and organisation [2.2]	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
basic skills education [6.1]	CESSDA	http://www.nesstar.org/rdf/common
plant and animal distribution [9.4]	CESSDA	http://www.nesstar.org/rdf/common
land use and planning [10.2]	CESSDA	http://www.nesstar.org/rdf/common
TRANSPORT, TRAVEL AND MOBILITY [11]	CESSDA	http://www.nesstar.org/rdf/common
gender and gender roles [12.6]	CESSDA	http://www.nesstar.org/rdf/common
children [12.1]	CESSDA	http://www.nesstar.org/rdf/common
elderly [12.2]	CESSDA	http://www.nesstar.org/rdf/common
youth [12.10]	CESSDA	http://www.nesstar.org/rdf/common
community, urban and rural life [13.1]	CESSDA	http://www.nesstar.org/rdf/common
information technology [16.2]	CESSDA	http://www.nesstar.org/rdf/common

Keywords

- products employment sales market storage problems production livestock poultry sources of funds Sheep Goat Cattle Dog Donkey Camel Rabbit Horse Pig Chicken Duck Ostrish Turkey Geese Guinea Pig Pigeon

Coverage

Geographic Coverage

National Zone State

Universe

Livestock and Poultry

Producers and sponsors

Primary investigators

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

Producers

Name	Affiliation	Role
Central Bank of Nigeria	Federal Government of Nigeria	Collaboration
Nigerian Commnications Commision	Federal Government of Nigeria	Collaboration

Funding Agency/Sponsor

Name	Abbreviation	Role
National Bureau of Statistics	NBS	funding
Central Bank of Nigeria	CBN	funding

Other Identifications/Acknowledgments

Name	Affiliation	Role
Department of Agriculture	Nigerian Universities	Technical Support
Farmers Association	Nigerian Farmers	Technical Support

Sampling

Sampling Procedure

Total sample sizes of 32,850 Farming Housing Units (FHUs) were drawn from 2,190 EAs. In each state, 900 FHUs drawn from 60 EAs were studied. Four hundred and fifty (450) FHUs from 30 EAs were studied in (FCT), Abuja. The listings of housing units in the selected EAs were updated before they were stratified into farming and non-farming housing units. The farming housing units were further stratified into Crop Farming Housing Units (CFHU), Livestock Farming Housing Units (LFHU) and Fishing Farming Housing Units (FFHUs). In each EA, 5 FHUs were studied for crop farming, 5 FHUs were covered for livestock and 5 FHUs for fishery. At each level of selection, housing units were systematically selected using different random start.

All households in the HUs that qualified as farming households were served with relevant private farmers questionnaires.

Out of 2,190 EAs to be covered, 2010 Livestock/Poultry EAs were actually studied. So also out of 10,950 Livestock/Poultry Holders expected to be to be covered, 4,961 Livestock/Poultry Holders were actually studied

Deviations from the Sample Design

Variance Estimate (Jackknife Method)
Estimating 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
k(k-1) i=1

where (Se) is the standard error,
k is the number of EAs in the state or reporting domain.

r is the weighted estimate calculated from the entire sample of EAs in the state or reporting domain.
ri = kr - (k - 1)r(i), where

r(i) is the re-weighted 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).

Response Rate

At Enumeration Area (EA) level the response rate was 91.78 per cent while at Livestock/Poultry holder level, the response rate was 45.31 per cent

Weighting

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)

Then the product (fj) x (fk) represented by f is the sampling fraction for each of the corresponding study unit (Enumeration Area) for all the 1,920EAs canvassed throughout the 36 states of the Federation and FCT, Abuja. The inverse of the sampling fraction is known as the design weight and was applied accordingly to all the study units.

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))

The above value was obtained for each of the 2,190EAs canvassed throughout the 36 states of the Federation and FCT, Abuja. Thereafter, adjustment factors were applied to adjust for the non-responses.

Survey instrument

Questionnaires

The questionnaire for the livestock/poultry is a structured questionnaire based on household characteristics with some modifications and additions. The House project module is a new addition and some new questions on ICT.
The questionnaires were scaned

Methodology notes

DATA PROCESSING/ANALYSIS The data processing analysis involved six main stages: development of data entry program; training of data processing staff; manual editing and coding; data entry and scanning; computer editing, verification and conversion and table generation. Integrated Microcomputer Processing Systems (IMPS) was one of the specialized Statistical packages used to develop the data entry program. The Disk Operating System (DOS) version of the software can support multiple screens required to capture data from the various survey instruments. With the introduction of scannable questionnaires for General Household and Modern Agricultural Holding, another new software package called Teleform was used. The indicators on household surveys were obtained using the Statistical Package for Social Scientists (SPSS) while the indicators on establishment surveys were obtained using MS-ACCESS and MS-EXCEL. Others indicators on Prices, Trade, National Accounts and Agricultural Survey made use of MS-Office (Access and Excel). The tabulation and analysis of the three survey systems were implemented by diligent and capable staff of the collaborative agencies.

Data collection

Dates of Data Collection

Start	End	Cycle
2007-03-03	2007-03-26	23 days

Time periods

Start date	End date	Cycle
2007-03-03	2007-03-26	23 days

Mode of data collection

Face-to-face [f2f]

Supervision

As earlier stated the data collection exercise involved team made up of 3 interviewers and 1 supervisor. The supervisor assigns EAs to the interviewers and ensure that their job is properly edited at the end of the day
Retrieval of records was carried out in two stages. The first stage retrieval was implemented by CBN Headquarter Staff during the monitoring visit to the states and zones. The second retrieval was done during the monitoring visit of NBS Headquarter staff. A mop-up exercise was carried out by the NBS state officers and Zonal controllers for 10 days after the scheduled period for data collection and sent to NBS headquarters.

Data Collection Notes

Prior to the commencement of data collection, training was conducted at two levels; Training of trainers and zonal level trainings. This training was to equip trainers and trainees with background information about the survey and what is expected of them. Also, training sessions included classroom teaching, demonstration, mock interviews, role playing, field and home exercises. The crop production Survey a household based exercise, in each state of the federation 3 teams were used comprising of 3 supervisors and 12 enumerators. A team was made up of one Supervisor and four Enumerators. Each team covered 20 Enumeration Areas (EA) for a period of 22 days. A pair of enumerators in a team covered 10 EAs.

Data processing

Data Editing

The data editing is in 2 phases namely manual editing before the questionnaires were scanned. 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 scanned data.

Data appraisal

Estimates of Sampling Error

The population of the country is Large and due to limited fund, census enumeration of Livestock/Poultry farmers is not visible. To reduce Sampling Error selecting of Livestock/Poultry farmers was based on State of the Federation.

Data Appraisal

QUALITY CONTROL AND RETRIEVAL OF RECORD
The Quality Control measures were carried out during the survey, essentially to ensure quality of data. There were three levels of supervision involving the supervisors at the first level, CBN staff, NBS State Officers and Zonal Controllers at second level and finally the NBS/NCC Headquarter staff constituting the third level supervision. Field monitoring and quality check exercises were also carried out during the period of data collection as part of the quality control measures.

Data Access

Access authority

Name	Affiliation	URL	Email
National Bureau of Statistics (NBS)	Fedral 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, Private farmer-Livestock-Poultry Survey (NGA) 2006-v.1.0

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
G.O Adewoye	Director Census and Surveys	goadewoye@nigerianstat.gov.ng	http://www.nigerianstat.gov.ng
A.N. Adewinmbi	Head (ICT)	taadewinmbi@nigerianstat.gov.ng	http://www.nigerianstat.gov.ng
Biyi Fafunmi	Data Curator	biyifafunmi@nigerianstat.gov.ng	http://www.nigerianstat.gov.ng
A.A Akinsanya	Data Archivist	paakinsanya@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
Mr R.F. Busari	ICT	rfbusari@nigerianstat.gov.ng	http://www.nigerianstat.gov.ng

Metadata production

DDI Document ID

DDI-NGA-NBS-LIVESTOCK-POULTRY-2006-v1.0