Nigeria Labour Force Survey Q3 2023
First round
Nigeria, 2023
Get MicrodataIdentification
NGA-NBS-NLFS-Q32023-v1.0.
Nigeria Labour Force Survey Q3 2023
First round
NLFS Q3 2023
No Translation
| Name | Country code |
|---|---|
| Nigeria | NGA |
Labor Force Survey [hh/lfs]
This report contains findings from the Nigeria Labour Force Survey (NLFS) for the third quarter of 2023. This is the fourth quarter of results since the National Bureau of Statistics (NBS) revised and improved its methodology for collecting labour market statistics in Nigeria; the new methodology is now aligned with internationally agreed standards and guidelines.
Labour market statistics are among the most important economic indicators, and this makes the regular conduct of NLFS crucial. The NLFS is designed to gather key labour market statistics to support government policies and programmes for more effective planning. The survey provides up-to-date information on the dynamics of the labour market in the country. Moreover, reliable labour market data can provide valuable insights about the economy for businesses and investors and can help in the design of sound economic policies to address the challenge of creating productive jobs and eliminating poverty. This can ultimately enhance the overall stability of the economy.
Labour is one of the most important factors of production and is a major determinant of the economic system globally. That is why it is imperative to know whether people are working or not, how long they work, and the nature of the jobs they are engaged in. The NLFS enables key labour market statistics and the employment situation to be monitored periodically in Nigeria. The indicators include the labour force participation rate, employment-to-population ratio, and unemployment rate, as well as time-related underemployment, self-employment, labour underutilisation, and several other key job characteristics. The NLFS aims to provide insight into the Nigerian economy, indicators for policy formulation and a base for international comparison. The results presented here are based on the resolutions concerning statistics of work, employment, and underutilisation from the 19th International Conference of Labour Statisticians (ICLS 2013).
This report contains findings from the Nigeria Labour Force Survey (NLFS) for the third quarter of 2023. This is the fourth quarter of results since the National Bureau of Statistics (NBS) revised and improved its methodology for collecting labour market statistics in Nigeria; the new methodology is now aligned with internationally agreed standards and guidelines.
Labour market statistics are among the most important economic indicators, and this makes the regular conduct of NLFS crucial. The NLFS is designed to gather key labour market statistics to support government policies and programmes for more effective planning. The survey provides up-to-date information on the dynamics of the labour market in the country. Moreover, reliable labour market data can provide valuable insights about the economy for businesses and investors and can help in the design of sound economic policies to address the challenge of creating productive jobs and eliminating poverty. This can ultimately enhance the overall stability of the economy.
Labour is one of the most important factors of production and is a major determinant of the economic system globally. That is why it is imperative to know whether people are working or not, how long they work, and the nature of the jobs they are engaged in. The NLFS enables key labour market statistics and the employment situation to be monitored periodically in Nigeria. The indicators include the labour force participation rate, employment-to-population ratio, and unemployment rate, as well as time-related underemployment, self-employment, labour underutilisation, and several other key job characteristics. The NLFS aims to provide insight into the Nigerian economy, indicators for policy formulation and a base for international comparison. The results presented here are based on the resolutions concerning statistics of work, employment, and underutilisation from the 19th International Conference of Labour Statisticians (ICLS 2013).
Sample survey data [ssd]
Individual
Version
v1.0 anonymized microdata
2024-02-15
This dataset is the anonymized version of the cleaned dataset of the Nigeria Labour Force Survey Quarter 3,2023.
Scope
The Scope of the Nigeria Labour Force Survey includes:
SECTION A: IDENTIFICATION
SECTION B: DEMOGRAPHIC CHARACTERISTICS
SECTION C: EDUCATION (FOR THREE YEARS OR OLDER)
SECTION D1: EMPLOYED AT WORK (ATW)
SECTION D2: TEMPORARY ABSENCE (ABS)
SECTION D3:AGRICULTURAL WORK AND MARKET ORIENTATION (AGF)
SECTION E:CHARACTERISTICS OF MAIN AND SECONDARY JOB,WORKING TIME AND INCOME
SECTION F: UNEMPLOYMENT AND OUT OF LABOUR FORCE
Coverage
National Zone State Sector
Household Members
Producers and sponsors
| Name | Affiliation |
|---|---|
| National Bureau of Statistics | Federal Government of Nigeria (FGN) |
| Name | Role |
|---|---|
| World Bank | Techinical Support |
| International Labour Organization | Techinical Support |
| Name | Abbreviation | Role |
|---|---|---|
| Federal Government of Nigeria | FGN | Funding |
Sampling
The target sample for the entire year is 35,520 households divided across 12 months, meaning the target sample for each quarter is 8,880 households. After small levels of non-response and replacement, the final sample for Q3 2023 is 8,836 households across the 36 states including the FCT.
No Deviations
The household response rate is 100%.
The weighting was computed, normalised and attached to the dataset.
Survey instrument
A structured questionnaire was used for NLFS. A household questionnaire was administered in each household, which collected various information on Identification, Demographic Characteristics, Education, Employed at work,Temporarily absence, Agricultural work and Market Orientation, Characteristics of main and secondary job, Unemployent and out of labour.Some of the questions were administered at household level while others were at individual level.
The questionnaire was digitized into CAPI using Survey Solutions. Real time online Checks were done by dedicated team of Data Editors who checked for any errors in the data downloaded from the server and communicated any corrections or clarifications to the enumerators.
Data was cleaned prior to its analysis and exported from Survey Solutions to SPSS format.
Data collection
| Start | End |
|---|---|
| 2023-09-28 | 2023-11-18 |
- Face-to-face [f2f]
| Name | Affiliation | Abbreviation |
|---|---|---|
| National Bureau of Statistics | Federal Government of Nigeria (FGN) | NBS |
The interview was conducted by teams of interviewers and each interviewing team comprised of a Supervisor.
The roles of the Supervior includes:
-Contacted local authority officials in the areas assigned to a team to gain their cooperation.
-Located the clusters or EAs for the team and assigning work to enumerators.
-Checked the quality of the work of each enumerator through skim and spot checks.
- Maintained the morale of the enumerators so that they can work in a cheerful atmosphere.
-Observed some of the enumerators' interviews to ensure questions are properly and politely asked and interpreted correctly.
-Helped enumerators resolve problems encountered in the field, including in terms of locating households and with difficult respondents.
-Met with each enumerator on a daily basis to discuss performance and future assignments. - Verified the completeness of all questions before leaving the locality.
- Wrote a comprehensive report of the data collected in their team.
A Face-to-face interview approach was used for the data collection with the aid of a Computer Assisted Personal Interviewing (CAPI) device. This enables data transmission from the field to the headquarters to be done electronically.
Each team spends one week in each EA and interviews take place between Wednesdays to Sundays. This reduces the use of proxy response, as it gives enumerators time to interview the eligible respondents in person. Those respondents not available for interviews weekdays may likely be available on weekends. Reducing the number of proxy responses improves data quality.
Data processing
Real - Time data editing took place at different stages throughout the processing which includes:
- Data editing and cleaning
- Structure checking and completeness
- Secondary editing
- Structural checking of data files
Data appraisal
The margin of error of each quarter is 1% for national estimates.
A series of data quality tables and graphs are available in the reports.
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| National Bureau of Statistics (NBS) | Federal Government of Nigeria (FGN) | 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 2007 outlines the data access obligation of data producers which includes the realease of properly anonymized micro data.
National Bureau of Statistics, Nigeria, Nigeria Labour Force Survey (NLFS Q32023)-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) 2024, National Bureau of Statistics
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Prince Adeyemi Adeniran | National Bureau of Statistics (NBS) | sg@nigerianstat.gov.ng | www.nigerianstat.gov.ng |
| Mr. Fafunmi E.A | National Bureau of Statistics (NBS) | biyifafumi@nigerianstat.gov.ng | www.nigerianstat.gov.ng |
| Mr. Mustapha | National Bureau of Statistics (NBS) | mdazeez@nigerianstat.gov.ng | www.nigerianstat.gov.ng |
| Akinloye Adeyeye Elutade | National Bureau of Statistics (NBS) | aaelutade@nigerianstat.gov.ng | www.nigerianstat.gov.ng |
| Abiola Arosanyin | National Bureau of Statistics (NBS) | avarosanyin@nigerianstat.gov.ng | www.nigerianstat.gov.ng |
| Saheed Bakare | National Bureau of Statistics (NBS) | ssbakare@nigerianstat.gov.ng | www.nigerianstat.gov.ng |
Metadata production
DDI-NGA-NBS-NLFS-Q32023-v1.0
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| National Bureau of Statistics | NBS | Federal Government of Nigeria (FGN) | Producer |
2024-05-21
Metadata version
Version 1.0