National Survey of Agricultural Export Commodities 2005, Second Round
Nigeria, 2005
Get MicrodataIdentification
NGA_2005_AGREXP_v01_M
National Survey of Agricultural Export Commodities 2005
Second Round
No Translation
| Name | Country code |
|---|---|
| Nigeria | NGA |
Agricultural Survey [ag/oth]
The Federal Executive Council (FEC) of Nigeria approved the establishment of the Consultative Committee on Agricultural Export Commodity Statistics (CCAECS) in 2000 with the primary mandate to conduct a national survey of agricultural export commodities on an annual basis. The CCAECS is comprised of the National Bureau of Statistics (NBS), Central Bank of Nigeria (CBN), Federal Ministry of Agriculture and Rural Development (FMA&RD), and Federal Ministry of Commerce (FMC).
The need to curb the problem of missing reliable agricultural data in Nigeria necessitated the establishment of the committee.
The Central Bank of Nigeria (CBN) has been funding the project and it is expected to continue to do so as directed by the Federal Executive Council until such a time when the National Bureau of Statistics is financially capable enough to carry out the AGREXP annual survey, which is part of its statutory mandate.
An 'agricultural export crop' is a crop which is currently grown in country and has export potential. An 'agricultural export commodity' is the product of any export crop. For example, palm oil and palm kernel are two by-products of the oil palm.
A 'holding' is the total land area devoted to the cultivation of any of the 14 export crops included in this survey (rubber, coffee, cocoa, sesame seed, garlic, tea, ginger, gum arabic, cashew nut, oil palm, groundnut, cotton, sugarcane and shea nut) by an individual called a farmer. A 'holder' is the person who owns a holding and is therefore entitled to the proceeds from the holding.
The major objectives of the survey were as follows:
i. To ascertain the spread of the cultivation of each of the 14 export crops within Nigeria in terms of areas cultivated by state.
ii. To ascertain the export potential of these commodities with respect to their outputs.
iii. Ascertain the quantities of commodities being exported.
iv. To provide structural data on agricultural export commodities such as size of holdings, access to land and credit, availability of processing, and storage facilities among others.
v. To provide socio-economic and demographic data on agricultural export commodity holders.
Sample survey data [ssd]
Household
Version
v01: Edited, anonymous dataset for public distribution.
2008-09-19
General review of the metadata.
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 |
| gender and gender roles [12.6] | CESSDA | http://www.nesstar.org/rdf/common |
Coverage
National and state
Household export crop farmers
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 Support |
| Central Bank of Nigeria | Funding |
| Name | Affiliation | Role |
|---|---|---|
| Ministries, Departments & Agencies | MDAs | Technical Support |
Sampling
The survey covered farming households in all states of the federation and the Federal Capital Territory (FCT) involved in the 14 selected export crops. The number of LGAs allocated to each state for sampling varied from a minimum of 3 to a maximum of 9. The number of LGAs per state was based on the number of export crops grow, the intensity of cultivation, and corresponding output in the state.
A total of 192 LGAs were mapped out for sampling nationwide and in each LGA 10 enumeration areas (EAs) were listed for sampling. This brought the total number of EAs initially slated for sampling nationwide to 1,920.
In each EA, 10 Housing Units (HUs) were to be selected, which brought the total number of HUs covered in the survey to 19,200.
192 LGAs were selected nationwide, but due to logistical problems only 182 LGAs were sampled.
On a national basis, the 2005 survey achieved a response rate of about 77.66% at the Housing Unit 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
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
Data collection
| Start | End | Cycle |
|---|---|---|
| 2005-09-05 | 2005-10-05 | 30 days |
2004/2005
| Start date | End date | Cycle |
|---|---|---|
| 2005-09-05 | 2005-10-05 | 30 days |
| Name | Affiliation |
|---|---|
| Field services and methodology department, | National Bureau of Statistics (NBS) |
SUPERVISION/QUALITY CHECK
All questionnaires were retrieved from the field by enumerators and submitted at the sub-offices. Subsequently, the questionnaires were batched according to enumeration areas and taken to NBS state offices and later to the zonal offices. All questionnaires were finally submitted to the NBS headquarters in Lagos.
Two-phased quality checks were put in place to ensure high-quality data. These include the zonal and state-based quality checks and then headquarters-based quality checks. The first phase quality check on holding questionnaire was conducted in September 2005.
The zonal- and state-based quality checks were carried out by the NBS officials in all states of the federation. During the exercise, the officers skim-checked and spot-checked the listing forms and holding questionnaires in selected enumeration areas. Farmers were randomly selected and visited to authenticate the entries made by the enumerators.
The headquarters-based quality check exercise was carried out from 17th to 22nd September 2005 by officials of the Federal Ministry of Agriculture and Rural Development, Federal Ministry of Commerce, National Bureau of Statistics, and Central Bank of Nigeria.
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 2005.
TRAINING:
Three levels of training were conducted before the fieldwork. Training of the trainer (TOT) was conducted for the members of the technical sub-committee. Twenty trainees trained at the first level training, later were trained at the second level training held in the six geo-political zones of the country. During the second level training, 117 participants comprising zonal controllers, state officers, and field officers of the National Bureau of Statistics were trained. The third level training took place in each of the 36 state capitals and FCT where a total of 1,067 enumerators and supervisors of the National Bureau of Statistics were trained.
FIELD ORGANISATION:
Listing exercises were completed in 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 enumeration areas in each state of the federation and the Federal Capital Territory.
Data processing
The completed questionnaires were collated and edited manually:
(a) Office editing and coding was 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 supervisors and two programmers 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 used 5 days to check the entries
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 (NBS) | 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) 2005. Ref. NGA_2005_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 |
| 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) | Federal Government of Nigeria (FGN) | feedback@nigerianstat.gov.ng | http://www.nigerianstat.gov.ng |
Metadata production
DDI_NGA_2005_AGREXP_v01_M
| Name | Affiliation | Role |
|---|---|---|
| National Bureau of Statistics | Federal Government of Nigeria (FGN) | Data Producers |
2019-07-30
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/1), except for edits to grammar and the description of the dataset was edited to reflect the sections of the questionnaires.