National Survey of Agricultural Export Commodities 2006
Nigeria, 2006
Created on
Apr 25, 2019
Last modified
Apr 25, 2019
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Identification
Survey ID Number
NGA_2006_NSAEC_v01_M
Title
National Survey of Agricultural Export Commodities 2006
Subtitle
Third round
Country
| Name | Country code |
|---|---|
| Nigeria | NGA |
Study type
Agricultural Survey [ag/oth]
Series Information
In recent past, three survey projects had been conducted through National Survey of Agricultural Exportable crop Commodities (NSAEC). The projects were jointly carried out by 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). Obviously, the results obtained from these joint projects would add value to agricultural production in the country. It is believed that the survey results would give both government and non governmental agencies ample opportunity to address the ugly situation of the past years. The survey covered the following fourteen crops: Cashew, Cocoa, Coffee, Cotton, Garlic, and Ginger, Groundnut, Gun Arabic, Oil palm, Rubber, Sesame seed, Sheanuts, Sugar cane and Tea. This report is based on the 2005/06 survey result which is the third edition of its series and the most recent conclusive project.
Abstract
The major objectives of the survey include:
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 a 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.
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 a 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.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
State, household, individual
Scope
Notes
The scope for the survey is 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.
– 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.
Topics
| 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 |
| plant and animal distribution [9.4] | CESSDA | http://www.nesstar.org/rdf/common |
Keywords
| Keyword |
|---|
| Agriculture |
| Crops |
Coverage
Geographic Coverage
National coverage
Universe
Households that export crops from the nationally sampled area
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| National Bureau of Statitics (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 Statitics | 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, 10 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.
Response Rate
Nationally, a 100 percent response rate was acheived at LGA level and 96.61 percent at EA level while 87.92 percent was acheived at export crop farming housing units level.
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 EAs canvassed. 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))
(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 EAs canvassed. 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))
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2006-09-05 | 2006-09-25 | 20 days |
Time periods
| Start date | End date | Cycle |
|---|---|---|
| 2006-09-05 | 2006-09-25 | 20 days |
Data Collection Mode
Face-to-face [f2f]
Supervision
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.
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
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. Data collection was carried out in September, 2006. The field staff includes interviewers (enumerators) and supervisors while the field coordinators comprised the state officers and zonal Controllers. Each state officer coordinated all field operations while the zonal controllers supervised the states in each zone. Teams of (2, 3 or 4) enumerators per (8, 10, 11 or 12) EAs were arranged in all the states and FCT, a supervisor to a team of enumerators. The sample list of selected EAs for each state and FCT must have been distributed at the training venues for the data collection.
FIELD ORGANISATION
Listing exercise began on the 4th August, 2006. Thereafter, ten (10) export farming housing units (EFHUs) were selected for coverage. The Enumerators administered the holding questionnaire(s) to all qualified agricultural export commodity farmers in each of the selected EAs, this lasted for two weeks. Through this exercise, relevant information on production, processing, market channels, credit facilities, farm inputs and other agronomic indictors were obtained from the farmers.
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. Data collection was carried out in September, 2006. The field staff includes interviewers (enumerators) and supervisors while the field coordinators comprised the state officers and zonal Controllers. Each state officer coordinated all field operations while the zonal controllers supervised the states in each zone. Teams of (2, 3 or 4) enumerators per (8, 10, 11 or 12) EAs were arranged in all the states and FCT, a supervisor to a team of enumerators. The sample list of selected EAs for each state and FCT must have been distributed at the training venues for the data collection.
FIELD ORGANISATION
Listing exercise began on the 4th August, 2006. Thereafter, ten (10) export farming housing units (EFHUs) were selected for coverage. The Enumerators administered the holding questionnaire(s) to all qualified agricultural export commodity farmers in each of the selected EAs, this lasted for two weeks. Through this exercise, relevant information on production, processing, market channels, credit facilities, farm inputs and other agronomic indictors were obtained from the farmers.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Field services and methodology department | FSM | National Bureau of Statistics (NBS) |
Questionnaires
Questionnaires
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
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 Processing
Data Editing
Data editing proceeded as such:
(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 provided as external resource
(c) Six operator plus two suppervissor and two progammer were used
(d) Six 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 also provided as external resource
(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 provided as external resource
(c) Six operator plus two suppervissor and two progammer were used
(d) Six 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 also provided as external resource
Data Appraisal
Estimates of Sampling Error
No sampling error estimate
Access policy
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| National Bureau of Statistics (FGN) | Fedral Government of Nigeria (FGN) | feedback@nigerianstat.gov.ng | http://www.nigerianstat.gov.ng |
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| National Bureau of Statistics (NBS) | Fedral Government of Nigeria (FGN) | feedback@nigerianstat.gov.ng | http://www.nigerianstat.gov.ng |
Confidentiality
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 2007 outlines the data access obligation of data producers which includes the realease of properly anonymized micro data.
Citation requirements
"National Bureau of Statistics, National Survey of Agricultural Export Commodities 2006 (AGREXP 2006), v01, provided by the National Data Archive. http://www.nigerianstat.gov.ng/nada/index.php"
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.
Metadata production
DDI Document ID
DDI_NGA_2006_NSAEC_v02_M
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| National Bureau of Statitics | NBS | Fedral Government of Nigeria (FGN) | Data Producers |
| Accelerated Data Program | ADP | International Household Survey Network | Review of the metadata |
Date of Metadata Production
2008-09-11
DDI Document version
Version 02 (October 2013). Edited version based on Version 01 DDI that was done by Nigeria National Bureau of Statistics and reviewed by Accelerated Data Program, International Household Survey Network.