National Survey of Agricultural Export Commodities 2006
Nigeria, 2006
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Reference ID
NGA_2006_NSAEC_v01_EN_M_v01_A_OCS
Producer(s)
National Bureau of Statistics(NBS)
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Metadata
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Jul 15, 2019
Last modified
Dec 10, 2019
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Identification
Survey ID Number
NGA_2006_NSAEC_v01_EN_M_v01_A_OCS
Title
National Survey of Agricultural Export Commodities 2006
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 survey projects include: Pilot test 2002/2003, others 2004/2005 and 2005/2006.
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.
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
In the recent past, three survey projects had been conducted by the Technical Committee of the Consultative Committee on Agricultural Export Commodities Statistics (CCAECS). The survey projects include: Pilot test 2002/2003, 2004/2005 and 2005/2006. 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 dearth of reliable statistical data on export crops.
The survey covered the following fourteen crops: Cashew, Cocoa, Coffee, Cotton, Garlic, Ginger, Groundnut, Gum 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 the series and the most recent conclusive project.
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.
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 dearth of reliable statistical data on export crops.
The survey covered the following fourteen crops: Cashew, Cocoa, Coffee, Cotton, Garlic, Ginger, Groundnut, Gum 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 the series and the most recent conclusive project.
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.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Households
Version
Version Description
version 1.0
Version Date
2008-09-11
Version Notes
The general review of the documentation
Scope
Notes
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.
– 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 |
|---|
| rural economics |
| agricultural, forestry and rural industry |
| employment |
| basic skills education |
| educational policy |
| vocational education |
| plant and animal distribution |
| transport, travel and mobility |
| children |
| gender and gender roles |
| family life and marriage |
Keywords
| Keyword |
|---|
| sex |
| sales |
| funds |
| inputs |
| consumption |
| market |
| problems |
| seedling |
| fertilizer |
| insecticide |
| cashew |
| cocoa |
| coffee |
| cotton |
| garlic |
| ginger |
| groundnut |
| gum arabic |
| oil palm |
| rubber |
| sesame seed |
| sheanuts |
| sugarcane |
| tea |
| farm |
| holding |
| holder |
| area |
| production |
| transportation |
| implement |
| funds |
| employment |
| land |
| storage |
Coverage
Geographic Coverage
National Coverage
Universe
Household export crop holder
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| National Bureau of Statistics(NBS) | Federal Government of Nigeria(FGN) |
Producers
| 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 |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| National Bureau of Statitics | NBS | Technical Support |
| Central Bank of Nigeria | CBN | Funding |
Other Identifications/Acknowledgments
| Name | Affiliation | Role |
|---|---|---|
| Ministry Department and Agency | MDAs | Technical Support |
Sampling
Sampling Procedure
The first frame was the list of 774 LGAs nationwide. The second frame was the list of EAs demarcated by the National Population Commission during the 1991 population census. 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.
Out of the 18,550 export crop farming housing units expected to be covered, 16,310 were canvassed.
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.
Out of the 18,550 export crop farming housing units expected to be covered, 16,310 were canvassed.
Response Rate
On national basis, 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 variable (rf ) raising factor is computed and attached to the data file.
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
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 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
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 paper [f2f]
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Field services and methodology department | FSM | National Bureau of Statistics (NBS) |
Data Processing
Data Editing
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 external resource
(c) Six operator plus two supervisors and two progammers were used
(d) Six machines were used for data entry
(e) After data entry, supervisor ran frequencies on each section to see that all the questionnaire was entered
(f) Conversion program was written to convert the data to spss also provided as external resource
(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 external resource
(c) Six operator plus two supervisors and two progammers were used
(d) Six machines were used for data entry
(e) After data entry, supervisor ran frequencies on each section to see that all the questionnaire was entered
(f) Conversion program was written to convert the data to spss also provided as external resource
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| DR G.O. Adewoye | Director Census & Surveys | [email protected] | Link |
| Mrs A.N. Adewimbi | Head of Information and Communication Technology Department | [email protected] | Link |
| Biyi Fafunmi | Data Curator | [email protected] | Link |
| Mr R.F. Busari | ICT | [email protected] | Link |
| Mrs A. A. Akinsanya | Data Archivist | [email protected] | Link |
| National Bureau of Statistics (NBS) | Federal Government of Nigeria (FGN) | [email protected] | Link |
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 release of properly anonymized micro data.
Citation requirements
National Bureau of Statistics, Nigeria, National Survey of Agricultural Export Commodities 2006-v1.0
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| National Bureau of Statistics (FGN) | Federal Government of Nigeria (FGN) | [email protected] | Link |
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.
Copyright
(c)NBS 2007
Metadata production
DDI Document ID
DDI_NGA_2006_NSAEC_v01_EN_M_v01_A_OCS_FAO
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Office of Chief Statistician | OCS | Food and Agriculture Organization | Metadata adapted for FAM |
| National Bureau of Statitics | NBS | Federal Government of Nigeria (FGN) | Metadata Producer |
DDI Document version
NGA_2006_NSAEC_v01_EN_M_v01_A_OCS_v01