National Survey of Agricultural Export Commodities 2005
Second round
Nigeria, 2005
Identification
NGA-NBS-AGREXP-2005-v1.0
National Survey of Agricultural Export Commodities 2005
Second round
AGREXP-2005
No Translation
| Name | Country code |
|---|---|
| Nigeria | NGA |
Agricultural Survey [ag/oth]
The Federal Executive Council (FEC) of Nigeria approved the setting up of the Consultative Committee on Agricultural Export Commodity Statistics (CCAECS) in 2000 with a primary mandate to conduct national survey of agricultural export commodities on annual basis. The CCAECS comprised 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 perennial paucity of reliable agricultural data necessitated the setting up of the Committee.
The Central Bank of Nigeria (CBN) had been funding the project and it is expected to continue to do so as directed by the Federal Executive Council (FEC) until such a time when the National Bureau of Statistics would be strong enough financially to carry out this annual survey which is part of its statutory mandate.
The pilot survey was carried out in 2002 and the report had already been published. Unfortunately, the 2003 edition could not be carried out due to some problems of fieldwork logistics.
The 2004 survey presented in this report covered fourteen export crops being the same number covered in the year 2002 report. They were cashew, cocoa, coffee, cotton, garlic, ginger, groundnut, gum arabic, oil palm, rubber, sesame seed, sheanut, sugarcane and tea.
An agricultural export crop is a crop which is currently grown in Nigeria and has export potentials.
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 listed export crops 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 fourteen export crops within Nigeria in terms of areas
cultivated by states
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
version 1.0
2008-09-19
General Review of the Metadata
Scope
The Survey covered farming households involved in the selected export crops,
which covered all states in Nigeria and the Federal Capital Territory (FCT).
Allocation of sample in LGAs and States varies from a minimum of three to a
maximum of nine, based on the number of export crops grown in the state, as well as
on the intensity of cultivation.
In all, 192 LGAs were sampled nationwide with 10 EAs selected from each sampled
LGA, bringing the total number of EAs nationwide to 1920. In each EA, 10 housing
units were selected, which brought the total number of housing units covered in the
survey to 19,200.
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 State
Household export crop farmers
Producers and sponsors
| Name | Affiliation |
|---|---|
| National Bureau of Statitics (NBS) | Fedral Government of Nigeria (FGN) |
| 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 |
| Name | Abbreviation | Role |
|---|---|---|
| National Bureau of Statitics | NBS | Technical Support |
| Central Bank of Nigeria | CBN | Funding |
| Name | Affiliation | Role |
|---|---|---|
| Ministries, Departments & Agencies | MDAs | Technical Support |
Sampling
The survey covered all states of the Federation and the Federal Capital Territory (FCT). The number of LGAs allocated to each state for sampling varied from a minimum of 3 to a maximum of 9 based on the number of export crops grown as well as on the intensity of cultivation and corresponding output.
In all, 192 LGAs were mapped out for sampling nationwide while 10 Enumeration Areas were in turn listed for sampling in each LGA. This brought the total number of EAs initially slated for sampling nationwide to 1920.
In each EA, 10 Housing Units (HUs) were to be selected in order to cover a total of 19,200 HUs.
192 LGA's were selected nationwide (see details in 2.1). But due to logistics problems, the number of LGA's actually covered was about 182.
On a national basis the 2005 survey achieved a response rate of about 77.66% at Housing Unit level.
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 1,920 EAs canvassed throughout the 36 states of the Federation and FCT, Abuja.
The weight (Rf) was calculated and attached to the data
Survey instrument
HOLDING QUESTIONNAIRE
SECTION I: HOLDING IDENTIFICATION
SECTION II: ACESS 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:
SECTION XIII: USE OF IMPROVED SEEDLING/SEED
(a) The data entry was done manually
(b) The data entry was done in lagos at (csd) cencus and surey division
(c) Ten operator plus two suppervissor and two progammer were used
(d) Ten machines were used for data entry
(e) The data staff use 2 months
(f) The supervisor use 2 weeks
(g) progarm was written to convert the data to spss also provided as external resource
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 |
- Face-to-face [f2f]
| Name | Affiliation | Abbreviation |
|---|---|---|
| Field services and methodology department, | National Bureau of Statistics (NBS) | FSM |
SUPERVISION / QUALITY CHECK
Two phased quality checks were put in place to ensure the quality of a high quality data. The first phase quality check on holding questionnaire was conducted in September 2005.
The zonal and state-based quality checks were earlier 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 on their farms to authenticate the entries made by the enumerators.
The headquarters based quality check exercise was also carried out from 17th t0 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.
All the questionnaires were retrieved from the field by the enumerators and submitted at the sub-offices. Subsequently, the questionnaire were batched according to Enumeration Areas and taken to NBS states' offices and later to the zonal offices. All the questionnaires were finally submitted at the NBS headquarters in Lagos.
DATA COLLECTION STRATEGY
The 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 his household generally. 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 who were trained at the first level training later handled 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 states capital and FCT where a total of 1,067 Enumerators and Supervisors of the National Bureau of Statistics were trained.
FIELD ORGANISATION
Listing exercise was done in two weeks. Thereafter, ten export farming housing units (EFHUs) were selected for coverage.
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 all the states of the Federation and the Federal Capital Territory.
SUPERVISION/QUALITY CHECK
Two phased quality checks were carried out to ensure high quality data. The first phase quality check on holding questionnaire was conducted in September 2005. The zonal and state-based quality checks were earlier 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 on their farms to authenticate the entries made by the enumerators. The headquarters-based quality check exercise was also carried out from 17th t0 22nd September 2005 by the Technical Committee.
DATA RETRIEVAL/STORAGE
All the questionnaires were retrieved from the field by the enumerators and submitted at the NBS sub-offices. Subsequently, the questionnaires were batched according to enumeration areas and taken to NBS state offices and later to the zonal offices. All the questionnaires were finally submitted at the NBS headquarters in Lagos.
Data processing
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
(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
Data appraisal
No sampling error estimate
Two phased quality checks were put in place to ensure the quality of a high quality data. The first phase quality check on holding questionnaire was conducted in September 2005. The zonal and state-based quality checks were earlier 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 on their farms to authenticate the entries made by the enumerators. The headquarters based quality check exercise was also carried out from 17th t0 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.
Distributor information
| 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
| Name | Affiliation | URL | |
|---|---|---|---|
| National Bureau of Statistics (NBS) | Fedral 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 para.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.
National Bureau of Statistics, Nigeria, National Survey of Agricultural Export Commodities 2005-v1.0
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) | Fedral Government of Nigeria (FGN) | feedback@nigerianstat.gov.ng | http://www.nigerianstat.gov.ng |
Metadata production
DDI-NGA-NBS-AGREXP-2005-v1.0
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| National Bureau of Statitics | NBS | Fedral Government of Nigeria (FGN) | Data Producers |
2008-09-19
Metadata version
Version 1.0