National Agricultural Sample Census 2022
Community Listing
Nigeria, 2022
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Reference ID
NGA_2022_NASC-COM_v01_EN_M_v01_A_ESS
Producer(s)
National Bureau of Statistics (NBS)
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Oct 28, 2024
Last modified
Oct 28, 2024
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Identification
Survey ID Number
NGA_2022_NASC-COM_v01_EN_M_v01_A_ESS
Title
National Agricultural Sample Census 2022
Subtitle
Community Listing
Country
| Name | Country code |
|---|---|
| Nigeria | NGA |
Study type
Agricultural Census [ag/census]
Abstract
NASC is an exercise designed to fill the existing data gap in the agricultural landscape in Nigeria. It is a comprehensive enumeration of all agricultural activities in the country, including crop production, fisheries, forestry, and livestock activities. The implementation of NASC was done in two phases, the first being the Listing Phase, and the second is the Sample Survey Phase. Under the first phase, enumerators visited all the selected Enumeration Areas (EAs) across the Local Government Areas (LGAs) and listed all the farming households in the selected enumeration areas and collected the required information. The scope of information collected under this phase includes demographic details of the holders, type of agricultural activity (crop production, fishery, poultry, or livestock), the type of produce or product (for example: rice, maize, sorghum, chicken, or cow), and the details of the contact persons. The listing exercise was conducted concurrently with the administration of a Community Questionnaire, to gather information about the general views of the communities on the agricultural and non-agricultural activities through focus group discussions.
The main objective of the listing exercise is to collect information on agricultural activities at household level in order to provide a comprehensive frame for agricultural surveys. The main objective of the community questionnaire is to obtain information about the perceptions of the community members on the agricultural and non-agricultural activities in the community.
Additional objectives of the overall NASC program include the following:
· To provide data to help the government at different levels in formulating policies on agriculture aimed at attaining food security and poverty alleviation
· To provide data for the proposed Gross Domestic Product (GDP) rebasing
The main objective of the listing exercise is to collect information on agricultural activities at household level in order to provide a comprehensive frame for agricultural surveys. The main objective of the community questionnaire is to obtain information about the perceptions of the community members on the agricultural and non-agricultural activities in the community.
Additional objectives of the overall NASC program include the following:
· To provide data to help the government at different levels in formulating policies on agriculture aimed at attaining food security and poverty alleviation
· To provide data for the proposed Gross Domestic Product (GDP) rebasing
Kind of Data
Census/enumeration data [cen]
Unit of Analysis
Community
Version
Version Description
v1.0: Edited, anonymized microdata
Version Date
2022-04-23
Version Notes
This dataset is the anonymized version of the cleaned dataset of the 2022 National Agricultural Sample Census Ccommunity listing.
Scope
Notes
The community listing component of National Agricultural Sample Census (NASC) covered the following subject areas:
• Identification of the community
• Respondent Characteristics (Name, Sex, age)
• Agricultural Activities in the Community
• Disasters and Shocks
• Community Infrastructure and Transportation
• Community Organizations
• Community Resources Management
• Land Prices and Credit
• Community Key Events
• Labour
• Identification of the community
• Respondent Characteristics (Name, Sex, age)
• Agricultural Activities in the Community
• Disasters and Shocks
• Community Infrastructure and Transportation
• Community Organizations
• Community Resources Management
• Land Prices and Credit
• Community Key Events
• Labour
Topics
| Topic | Vocabulary |
|---|---|
| Infrastructures | World Bank |
| Disaster | World Bank |
| Shocks | World Bank |
| Agricultural Production | World Bank |
| Labour | World Bank |
Keywords
| Keyword |
|---|
| Community |
| Infrastructure |
| Crops |
| Livestock |
| Fishery |
| Disaster |
| farmer |
| Listing |
Coverage
Geographic Coverage
Communities (in Enumerated Areas).
Universe
The population units are communities encompassing the designated enumeration areas, where household listing was performed.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| National Bureau of Statistics (NBS) | Federal Government of Nigeria (FGN) |
Producers
| Name | Affiliation | Role |
|---|---|---|
| Federal Ministry of Agriculture and Food Security (formerly Federal Ministry of Agriculture and Rural Development | Federal Government of Nigeria (FGN) | Technical support |
| World Bank | The World Bank Group (WBG) | Technical support |
| Food and Agriculture Organization of the United Nations | United Nations (UN) | Technical support |
| National Population Commision | Federal Government of Nigeria (FGN) | Technical support |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| The World Bank Group | WBG | Financial assistance |
Other Identifications/Acknowledgments
| Name | Affiliation | Role |
|---|---|---|
| Federal Ministry of Finance | Federal Government of Nigeria | Supervision |
| The 50x2030 Initiative | Technical assistance |
Sampling
Sampling Procedure
Focus group interviews were performed in communities overlapping with in the EAs selected for the extended listing operation. Accordingly, a focus group discussion in a total of 26,555 communities were undertaken to administer the community level questionnaire. It is important to note here that the results from the community survey are unweighted results and all the tables produced from the community level data are only from the 26,555 communities interviewed.
Weighting
Statistics in the community listing microdata are unweighted
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2022-07-06 | 2022-09-09 |
Data Collection Mode
Computer Assisted Personal Interview [capi]
Supervision
Adequate physical monitoring and spot-checks were carried out by senior-level officers of the Bureau, Federal Ministry of Agriculture and Food Security (FMAFS), and National Population Commission (NPC).
The monitoring of fieldwork was done in three phases, the first round started concurrently with the commencement of data collection to ensure a smooth start to the data collection effort. The second round of monitoring was in the middle of the fieldwork stage, while the third occurred towards the end of the fieldwork.
The activities carried out included:
· Visitation of different teams in various LGAs with special attention to the EAs that were broken into segments.
· Resolving observable challenges that called for urgent attention.
· Collaborating with the state officers to compile all EAs that required replacement, reach out to enumerators, and discuss observations and comments from the World Bank and FAO, and proffer solutions where necessary.
· Identification of enumerators who did not properly classify agricultural and non-agricultural enterprises, for better understanding and proper classification.
· Spot-checking of EAs where the number of households listed by the enumerators was less than what the NPC listed.
· Randomly visited households where enumerators listed over 100 members of a household to confirm the true scenario of the household membership using the interviewer keys.
· Online real-time data monitoring and immediate feedback.
The monitoring of fieldwork was done in three phases, the first round started concurrently with the commencement of data collection to ensure a smooth start to the data collection effort. The second round of monitoring was in the middle of the fieldwork stage, while the third occurred towards the end of the fieldwork.
The activities carried out included:
· Visitation of different teams in various LGAs with special attention to the EAs that were broken into segments.
· Resolving observable challenges that called for urgent attention.
· Collaborating with the state officers to compile all EAs that required replacement, reach out to enumerators, and discuss observations and comments from the World Bank and FAO, and proffer solutions where necessary.
· Identification of enumerators who did not properly classify agricultural and non-agricultural enterprises, for better understanding and proper classification.
· Spot-checking of EAs where the number of households listed by the enumerators was less than what the NPC listed.
· Randomly visited households where enumerators listed over 100 members of a household to confirm the true scenario of the household membership using the interviewer keys.
· Online real-time data monitoring and immediate feedback.
Data Collection Notes
THE TRAINING OF FIELD STAFF
The NASC training was conducted at two levels. The first level was a national level training-of-trainers (ToT), which took place at the Public Service Institute in Abuja. The training lasted for 5 days (the 20th-24th of June 2022). The last day of the training was utilized for field practice, where the trainees were taught on how to locate enumeration areas using the pointer in the Google Earth application to navigate and trace the boundaries of the EA, and collect information on the buildings and households in the EA.
Participants at the first level of training included the following:
· Trainers/Monitors (National Bureau of Statistics (NBS), Federal Ministry of Agriculture and Food Security (FMAFS) (formally Federal Ministry of Agriculture and Rural Development (FMARD)) and the National Population Commission (NPC)).
· State Officers (NBS)
· Coordinators (NBS, FMAFS AND NPC)
· Facilitators (NBS)
The second level training was the Training of Enumerators (ToE), which took place in all the 36 states and the Federal Capital Territory (FCT). There were eighty-two (82) training centers nationwide. The state-level trainings were held over a period of six days (29th of June-5th July, 2022) including five days of training, and one day of field tests.
Participants at the state training level include the following:
· Enumerators/Interviewers (NBS, FMAFS (formally FMARD), State Agriculture Development Programme (ADP), State Bureaus of Statistics/State Statistical Agencies (SBS/SSA)
· NBS State Officers
· NBS Zonal Controllers
· Trainers/Monitors
· Coordinators
· Statistician General of State Bureau of Statistics/Directors of State Statistical Agency
· Staff of State Ministry of Agriculture
· Independent Monitors
DATA COLLECTION
Two teams were constituted in each LGA. A team comprised of one team lead and one teammate. Permanent field staff of National Bureau of Statistics (NBS) served mostly as team leads. Enumerators were also drawn from relevant stakeholders from Ministries, Departments and Agencies (MDAs), both at the federal and state level. The two enumerators had separate CAPI devices and they both served as listers and mappers. The two interviewers worked simultaneously in the same EA. They located together the boundaries of the EA and identified all of the buildings therein and numbered the building accordingly. Following this, they split the buildings into two, with one interviewer covering the buildings with odd numbers, while other covered the buildings with even numbers. This was to avoid omission or double counting within the EAs. Interviewers were expected to spend two and a half days for both the household listing and administration of community questionnaires in each EA. A team was mandated to cover twenty (20) EAs, with the total number of days allotted for fieldwork at fifty (50) days.
ORGANIZATION OF FIELD WORK
On arrival at the EA, the enumerators visited the community head(s) to explain their mission to the community and made arrangement on how to go about the administration of the questionnaires. The two enumerators first did the numbering of all relevant structures within the EA, and thereafter, carried out the listing exercise accordingly. One enumerator listed the structures with odd numbers while the second enumerator listed all the structures with even numbers.
The NASC training was conducted at two levels. The first level was a national level training-of-trainers (ToT), which took place at the Public Service Institute in Abuja. The training lasted for 5 days (the 20th-24th of June 2022). The last day of the training was utilized for field practice, where the trainees were taught on how to locate enumeration areas using the pointer in the Google Earth application to navigate and trace the boundaries of the EA, and collect information on the buildings and households in the EA.
Participants at the first level of training included the following:
· Trainers/Monitors (National Bureau of Statistics (NBS), Federal Ministry of Agriculture and Food Security (FMAFS) (formally Federal Ministry of Agriculture and Rural Development (FMARD)) and the National Population Commission (NPC)).
· State Officers (NBS)
· Coordinators (NBS, FMAFS AND NPC)
· Facilitators (NBS)
The second level training was the Training of Enumerators (ToE), which took place in all the 36 states and the Federal Capital Territory (FCT). There were eighty-two (82) training centers nationwide. The state-level trainings were held over a period of six days (29th of June-5th July, 2022) including five days of training, and one day of field tests.
Participants at the state training level include the following:
· Enumerators/Interviewers (NBS, FMAFS (formally FMARD), State Agriculture Development Programme (ADP), State Bureaus of Statistics/State Statistical Agencies (SBS/SSA)
· NBS State Officers
· NBS Zonal Controllers
· Trainers/Monitors
· Coordinators
· Statistician General of State Bureau of Statistics/Directors of State Statistical Agency
· Staff of State Ministry of Agriculture
· Independent Monitors
DATA COLLECTION
Two teams were constituted in each LGA. A team comprised of one team lead and one teammate. Permanent field staff of National Bureau of Statistics (NBS) served mostly as team leads. Enumerators were also drawn from relevant stakeholders from Ministries, Departments and Agencies (MDAs), both at the federal and state level. The two enumerators had separate CAPI devices and they both served as listers and mappers. The two interviewers worked simultaneously in the same EA. They located together the boundaries of the EA and identified all of the buildings therein and numbered the building accordingly. Following this, they split the buildings into two, with one interviewer covering the buildings with odd numbers, while other covered the buildings with even numbers. This was to avoid omission or double counting within the EAs. Interviewers were expected to spend two and a half days for both the household listing and administration of community questionnaires in each EA. A team was mandated to cover twenty (20) EAs, with the total number of days allotted for fieldwork at fifty (50) days.
ORGANIZATION OF FIELD WORK
On arrival at the EA, the enumerators visited the community head(s) to explain their mission to the community and made arrangement on how to go about the administration of the questionnaires. The two enumerators first did the numbering of all relevant structures within the EA, and thereafter, carried out the listing exercise accordingly. One enumerator listed the structures with odd numbers while the second enumerator listed all the structures with even numbers.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| National Bureau of Statistics | NBS | Federal Government of Nigeria (FGN) |
Questionnaires
Questionnaires
The NASC community listing questionnaire served as a meticulously designed instrument administered within every community selected to gather comprehensive data. It encompassed various aspects such as agricultural activities in the community, infrastructures, disaster, etc. The questionnaire was structured into the following sections:
• Identification of the community
• Respondent Characteristics (Name, Sex, age)
• Agricultural Activities in the Community
• Disasters and Shocks
• Community Infrastructure and Transportation
• Community Organizations
• Community Resources Management
• Land Prices and Credit
• Community Key Events
• Labour
• Identification of the community
• Respondent Characteristics (Name, Sex, age)
• Agricultural Activities in the Community
• Disasters and Shocks
• Community Infrastructure and Transportation
• Community Organizations
• Community Resources Management
• Land Prices and Credit
• Community Key Events
• Labour
Data Processing
Data Editing
Data processing of the NASC household listing survey included checking for inconsistencies, incompleteness, and outliers. Data editing and cleaning was carried out electronically using the Stata software package. In some cases where data inconsistencies were found a call back to the household was carried out. A pre-analysis tabulation plan was developed and the final tables for publication were created using the Stata software package.
Other Processing
STATISTICAL DISCLOSURE CONTROL
To safeguard the confidentiality of household information, rigorous anonymization techniques have been employed on the edited microdata. This process involved the removal of all direct identifiers, such as names, GPS locations, and specific addresses. Additionally, geographic information below the state level has been excised to prevent any potential identification of communities based on their location.
Furthermore, a masking technique (local suppression algorithms) has been implemented on the quasi-identifying variables using the R package sdcMicro. This ensures that even subtle patterns or combinations of variables that could potentially lead to re-identification are obfuscated, thereby enhancing the overall security and privacy of the dataset.
To safeguard the confidentiality of household information, rigorous anonymization techniques have been employed on the edited microdata. This process involved the removal of all direct identifiers, such as names, GPS locations, and specific addresses. Additionally, geographic information below the state level has been excised to prevent any potential identification of communities based on their location.
Furthermore, a masking technique (local suppression algorithms) has been implemented on the quasi-identifying variables using the R package sdcMicro. This ensures that even subtle patterns or combinations of variables that could potentially lead to re-identification are obfuscated, thereby enhancing the overall security and privacy of the dataset.
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Prince Adeyemi Adeniran | National Bureau of Statistics (NBS) | [email protected] | www.nigerianstat.gov.ng |
| Mr. Fafunmi E.A | National Bureau of Statistics (NBS) | [email protected] | www.nigerianstat.gov.ng |
| Mr. David Babalola | National Bureau of Statistics (NBS) | [email protected] | www.nigerianstat.gov.ng |
| Mr. Mustapha | National Bureau of Statistics (NBS) | [email protected] | www.nigerianstat.gov.ng |
| Mr. Bishop Ohios | National Bureau of Statistics (NBS) | [email protected] | 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, Nigeria, National Agricultural Sample Census (NASC 2022S)-v1.0
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| National Bureau of Statistics (NBS) | Federal Government of Nigeria (FGN) | [email protected] | www.nigerianstat.gov.ng |
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) 2024, National Bureau of Statistics
Metadata production
DDI Document ID
DDI_NGA_2022_NASC-COM_v01_EN_M_v01_A_ESS_FAO
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| National Bureau of Statistics | NBS | Federal Government of Nigeria | Producer |
| Federal Ministry of Agriculture and Food Security (fomerly Federal Ministry of Agriculture and Rural Development) | FMAFS(fomerly FMARD) | Federal Government of Nigeria | Contributor |
Date of Metadata Production
2024-10-08
DDI Document version
Version 1.0