National Survey of Agricultural Export Commodities 2006, Third Round
Nigeria, 2006
Get MicrodataIdentification
NGA_2006_AGREXP_v01_M
National Survey of Agricultural Export Commodities 2006
Third Round
No Translation
| Name | Country code |
|---|---|
| Nigeria | NGA |
Agricultural Survey [ag/oth]
Four federal agencies namely, National Bureau of Statistics (NBS), Central Bank of Nigeria (CBN), Federal Ministry of Agriculture & Rural Development (FMA&RD), and Federal Ministry of Commerce (FMC), jointly conducted three survey rounds through the National Survey of Agricultural Exportable crop Commodities (NSAEC). It is believed that the survey results would give both government and non-governmental agencies ample opportunity to address the paucity of reliable agricultural data in Nigeria.
The survey covered the following 14 crops: cashew, cocoa, coffee, garlic, ginger, groundnut, arabic gum, palm oil, rubber, sesame seeds, shea nuts, sugar cane, and tea.
Four federal agencies namely, National Bureau of Statistics (NBS), Central Bank of Nigeria (CBN), Federal Ministry of Agriculture & Rural Development (FMA&RD), and Federal Ministry of Commerce (FMC), jointly conducted three survey rounds through the National Survey of Agricultural Exportable crop Commodities (NSAEC). It is believed that the survey results would give both government and non-governmental agencies ample opportunity to address the paucity of reliable agricultural data in Nigeria.
The survey included 14 export crops: cashew, cocoa, coffee, garlic, ginger, groundnut, arabic gum, palm oil, rubber, sesame seeds, shea nuts, sugar cane, and tea.
This dataset is based on the third round of the National Survey of Agricultural Export Commodities. Previous rounds were conducted in 2002/2003 and 2004/2005.
The major objectives of the survey included:
i. To ascertain the spread of the cultivation of each of the fourteen export crops within Nigeria in terms of area cultivated by state.
ii. To provide national baseline data 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.
Sample survey data [ssd]
Household
Version
v01: Edited, anonymous dataset for public distribution.
2008-09-11
The general review of the documentation
Scope
The scopes for data collection were 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 improved seedlings
-
Access to credit facilities
-
Employment
-
Market channels
-
Farm gate and open market prices
-
Consumption from own-production
-
Transportation and storage
-
Use and access to farm implements.
| Topic | Vocabulary | URI |
|---|---|---|
| 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 |
| employment [3.1] | CESSDA | http://www.nesstar.org/rdf/common |
| basic skills education [6.1] | CESSDA | http://www.nesstar.org/rdf/common |
| educational policy [6.3] | CESSDA | http://www.nesstar.org/rdf/common |
| vocational education [6.7] | CESSDA | http://www.nesstar.org/rdf/common |
| plant and animal distribution [9.4] | CESSDA | http://www.nesstar.org/rdf/common |
| TRANSPORT, TRAVEL AND MOBILITY [11] | CESSDA | http://www.nesstar.org/rdf/common |
| children [12.1] | CESSDA | http://www.nesstar.org/rdf/common |
| gender and gender roles [12.6] | CESSDA | http://www.nesstar.org/rdf/common |
| family life and marriage [12.5] | CESSDA | http://www.nesstar.org/rdf/common |
Coverage
National and state
Household export crop holders
Producers and sponsors
| Name | Affiliation |
|---|---|
| National Bureau of Statistics (NBS) | Federal Government of Nigeria(FGN) |
| Name | Affiliation | Role |
|---|---|---|
| Central Bank of Nigeria | Federal Government of Nigeria (FGN) | Collaboration |
| Federal Ministry of Agriculture & Rural Development | Federal Government of Nigeria (FGN) | Collaboration |
| Federal Ministry of Commerce | Federal Government of Nigeria (FGN) | Collaboration |
| Name | Role |
|---|---|
| National Bureau of Statistics | Technical Surport |
| Central Bank of Nigeria | Funding |
| Name | Affiliation | Role |
|---|---|---|
| Ministry Department and Agency | MDAs | Technical Surport |
Sampling
A 2-stage sample design was employed.
In the first stage, 192 Local Government Areas (LGAs) from the complete list of 774 LGAs were selected nationwide. Next 10 enumeration areas (EAs), demarcated by the National Population Commission during the 1991 population census, were systematically selected from each sampled LGA, for a total of 1,920 EAs.
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.
Of the expected 1,920 EAs only 1,855 were found to have export crops and were eventually studied. Out of the 18,550 export crop farm housing units expected to be covered, 16,310 were canvassed.
On a national basis, 100% response rate was acheived at the LGA level and 96.61% at the EA level. While 87.92% was acheived at the export crop farming housing units level.
The formula adopted in calculating the sampling 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 a 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 units (enumeration area) for all the 1,920 EAs canvassed throughout the 36 states of the federation and FCT-Abuja (the capital city). The inverse of the sampling fraction is known as the sampling weight and was applied accordingly to all the study units.
Mathematically, sampling 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 1,920 EAs canvassed throughout the 36 states of the federation and FCT-Abuja. The weight (Rf) was calculated and attached to the data
NOTE:
Adjustment was made to the weight depending on the response at household level.
Survey instrument
Agricultural Holding Questionnaire:
Section I: Holding Identification
Section Ii: Access to Land
Section Iii: Source of Funds
Section Iv: Export Crop Farming
Section Vii: Market Channel
Section Viii: Quantity Sold
Section X: Quantity Consumed
Section Xi: Use of Fertilizer
Section Xii: Use of Pesticides
Section Xiii: Use of Improved Seedling/Seed
Some modifications were made on the 2003 questionnaire.
Data collection
| Start | End | Cycle |
|---|---|---|
| 2006-09-05 | 2006-09-25 | 20 days |
2004/2005
| Start date | End date | Cycle |
|---|---|---|
| 2006-09-05 | 2006-09-25 | 20 days |
| Name | Affiliation |
|---|---|
| Field services and methodology department, | National Bureau of Statistics (NBS) |
Each state officer coordinated all field operations while the zonal controllers supervised the states in each zone. Teams of enumerators were EAs were arranged in each state and Federal Capital Territory (FCT), a supervisor to a team of enumerators.
To ensure high-quality data two-phased quality checks were put in place. During the first phase, the officers skim-checked and spot-checked the listing forms and ten selected questionnaires in the selected EAs in each state including the FCT. Farmers were randomly selected and visited on their farms to authenticate the data entries made by enumerators.
In the second phase, 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 STRATEGY:
The National Bureau of Statistics (NBS) permanent field staff carried out the data collection during the survey year. The household head or a responsible adult in the household gave information about their household. Data collection was carried out in September 2006. The field staff included interviewers (enumerators) and supervisors while the field coordinators comprised the state officers and zonal controllers.
FIELD ORGANISATION:
Listing exercises began on the 4th August 2006 and lasted two weeks. Afterwards 10 export farming housing units (EFHUs) were selected for survey administration. The enumerators and field officers of the National Bureau of Statistics administered the holding questionnaire to all qualified agricultural export commodity farmers in the selected EAs in each state of the federation and the Federal Capital Territory. Through this exercise, relevant information on production, processing, market channels, credit facilities, farm inputs and other agronomic indictors were obtained from the farmers.
Data processing
All questionnaires were retrieved from the field by the enumerators and submitted to the sub-offices. Next the questionnaires were organized according to EAs and were taken to the NBS state offices and finally to the zonal offices. Three NBS zonal headquarters (Ibadan, Kaduna and Enugu) were chosen for the last destination of retrieval of the questionnaires. In the case of southwest and north-central zones were merged together for the submission their records at NBS zonal headquarters in Ibadan. Northwest and northeast zones were combined to submit their records at NBS zonal headquarters in Kaduna. Finally, the southeast and southern zones were joined together to submit their records to NBS zonal headquarters in Enugu.
The completed questionnaires were collated and edited manually:
a. Office editing and coding were done by the editor using visual control of the questionnaire before data entry
b. Imps was used to design the data entry template provided as an external resource
c. Six operators plus two supervisor and two programmers were used
d. Six machines were used for data entry
e. After data entry, supervisors run frequencies on each section to see that all the questionnaire were entered
f. Conversion programs were written to convert the data to SPSS also provided as an external resource
Data appraisal
No sampling error estimate
Distributor information
| Organization name | Affiliation |
|---|---|
| Central Bank of Nigeria | Federal GOVERNMENT OF NIGERIA |
| Federal Ministry of Agriculture and Rural Development | Federal GOVERNMENT OF NIGERIA |
| Federal Ministry of Commerce | Federal GOVERNMENT OF NIGERIA |
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| National Bureau of Statistics (FGN) | Federal Government of Nigeria (FGN) | http://www.nigerianstat.gov.ng | feedback@nigerianstat.gov.ng |
| 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 paragraph 2. Punitive measures for breeches of confidentiality are outlined in section 28 of the same act. |
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.
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Example,
National Bureau of Statistics (NBS). Nigeria National Survey of Agricultural Export Commodities (AGREXP) 2006. Ref. NGA_2006_AGREXP_v01_M. Dataset downloaded from [url] on [date].
Disclaimer and copyrights
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.
(c) NBS 2007
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| 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 | aanadewimbi@yahoo.com | http://www.nigerianstat.gov.ng |
| Biyi Fafunmi | Data Curator | biyifafunmi@nigerianstat.gov.ng | http://www.nigerianstat.gov.ng |
| Mr R.F. Busari | ICT | rfbusari@nigerianstat.gov.ng | http://www.nigerianstat.gov.ng |
| Mrs A. A. Akinsanya | Data Archivist | paakinsanya@nigerianstat.gov.ng | http://www.nigerianstat.gov.ng |
| National Bureau of Statistics (NBS) | Federal Government of Nigeria (FGN) | feedback@nigerianstat.gov.ng | http://www.nigerianstat.gov.ng |
Metadata production
DDI_NGA_AGREXP_v01_M
| Name | Affiliation | Role |
|---|---|---|
| National Bureau of Statistics | Federal Government of Nigeria (FGN) | Data Producers |
2019-07-31
Metadata version
Version 01 (July 2019). This version is identical to version 1.0 downloaded from the Nigerian National Bureau of Statistics website (https://www.nigerianstat.gov.ng/nada/index.php/catalog/2), except for edits to grammar and the description of the dataset was edited to reflect the sections of the questionnaires. EDIT***