National Survey of Agricultural Export Commodities 2007
Nigeria, 2007
Get Microdata
Reference ID
NGA_2007_NSAEC_v01_EN_M_v01_A_OCS
Producer(s)
National Bureau of Statistics (NBS)
Collections
Metadata
Created on
Jul 15, 2019
Last modified
Jul 15, 2019
Page views
52063
Downloads
3318
Identification
Survey ID Number
NGA_2007_NSAEC_v01_EN_M_v01_A_OCS
Title
National Survey of Agricultural Export Commodities 2007
Country
| Name | Country code |
|---|---|
| Nigeria | NGA |
Study type
Agricultural Survey [ag/oth]
Series Information
This edition is the fourth in the series of survey project conducted by the Technical Committee of the Consultative Committee on Agricultural Export Commodity Statistics (CCAECS). Fourteen crops were studied in the past three surveys; two crops (Cassava & Kolanut) were however added during the 2006/07 survey year.
The survey was jointly carried out by four federal agencies namely: National Bureau of Statistics (NBS), Central Bank of Nigeria (CBN), Federal Ministry of Agriculture & Water Resources (FMA&WR) and Federal Ministry of Commerce and Industry (FMC&I).
The survey was jointly carried out by four federal agencies namely: National Bureau of Statistics (NBS), Central Bank of Nigeria (CBN), Federal Ministry of Agriculture & Water Resources (FMA&WR) and Federal Ministry of Commerce and Industry (FMC&I).
Abstract
This edition is the fourth in the series of survey project conducted .
The survey covered the following sixteen crops: Cashew, Cassava, Cocoa, Coffee, Cotton, Garlic, Ginger, Groundnut, Gum Arabic, Kolanut, Oil Palm Rubber, Sesame seed, Sheanut, Sugar cane and Tea. This means additional two crops were introduced to the survey.
The major objectives of the survey include:
i. To ascertain the spread of the cultivation of each of the sixteen export crops within Nigeria in terms of area cultivated by State.
ii. To provide a national basic data series 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.
The survey covered the following sixteen crops: Cashew, Cassava, Cocoa, Coffee, Cotton, Garlic, Ginger, Groundnut, Gum Arabic, Kolanut, Oil Palm Rubber, Sesame seed, Sheanut, Sugar cane and Tea. This means additional two crops were introduced to the survey.
The major objectives of the survey include:
i. To ascertain the spread of the cultivation of each of the sixteen export crops within Nigeria in terms of area cultivated by State.
ii. To provide a national basic data series 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(March 2009)
Version Date
2009-03-04
Version Notes
The general review of the documentation
Scope
Notes
The scope for data collected was 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 seedlings
– Access to credit facilities
– Employment
– Market channels
– Farmgate 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 seedlings
– Access to credit facilities
– Employment
– Market channels
– Farmgate and open market prices
– Consumption from own-production
– Transportation and storage
– Use and access to farm implements.
Topics
| Topic |
|---|
| agricultural, forestry and rural industry |
| employment |
| working conditions |
| government, political systems and organisations |
| basic skills education |
| gender and gender roles |
| community, urban and rural life |
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 Statistics | 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
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, 15,583 were canvassed.
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, 15,583 were canvassed.
Response Rate
On national basis, 100 percent response rate was acheived at LGA level; 96.61 percent at EA level while 84.00 percent was acheived at export crop farming housing units level. Reasons for non-response was not given.
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 |
|---|---|---|
| 2007-09-01 | 2007-09-21 | 20 days |
Data Collection Mode
Face-to-face paper [f2f]
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| National Bureau of Statistics | NBS | Federal Government of Nigeria (FGN) |
Data Processing
Data Editing
The completed questionnaires were collated and edited manually before data entry operation was carried out by the NBS staff in the six designated NBS zonal headquarters. Machine data editing, table generation and analysis were carried out by NBS staff at NBS headquarters, Abuja, followed by report writing by the Consultative Committee on Agricultural Export Commodity Statistics (CCAECS).
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Dr V.O. Akinyosoye | Director General | [email protected] | Link |
| 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 Access | [email protected] | Link |
| Mrs A. A. Akinsanya | Data Archivist | [email protected] | Link |
| Mr R.F. Busari | ICT | [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 2007-v1.0
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| National Bureau of Statistics (NBS) | 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
© NBS 2009
Metadata production
DDI Document ID
DDI_NGA_2007_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 Statistics | NBS | Federal Government of Nigeria (FGN) | Metadata Producer |
DDI Document version
NGA_2007_NSAEC_v01_EN_M_v01_A_OCS_v01