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Nigeria Labour Force Survey Q1 2023
First round

Nigeria, 2023
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Reference ID
NGA-NBS-NLFS-Q12023-v1.0.
Producer(s)
National Bureau of Stastistics
Metadata
Documentation in PDF DDI/XML JSON
Created on
Oct 22, 2023
Last modified
Oct 22, 2023
Page views
43407
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  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data processing
  • Data appraisal
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    NGA-NBS-NLFS-Q12023-v1.0.

    Title

    Nigeria Labour Force Survey Q1 2023

    Subtitle

    First round

    Abbreviation or Acronym

    NLFS Q1 2023

    Translated Title

    No Translation

    Country
    Name Country code
    Nigeria NGA
    Study type

    Labor Force Survey [hh/lfs]

    Series Information

    The National Bureau of Statistics (NBS) has the mandate of producing and managing official statistics to guide government policies and programmes in the country. These official statistics are produced routinely in line with set standards and guidelines that govern their production. The Nigeria Labour Force Survey (NLFS) is one of the routine surveys conducted by NBS to produce labour market statistics intended to support policies and programmes of government, as well as for public use.

    The methodology and standards, as a matter of best practice, are routinely reviewed and updated in line with current realities and evidence-based information. The last labour force report published was amidst COVID-19 pandemic for the period of Q4 2020, which reported a headline unemployment rate of 33.3% and an underemployment rate of 22.8%. As part of its routine methodological review and enhancement processes, NBS commenced work in 2021 with the World Bank and the International Labour Organisation (ILO) to update the methodology and processes for conducting the NLFS, which culminated in the results being presented in this report. Labour is often the only asset and main determinant of household income as well as whether people will live in or out of poverty. Therefore, it is essential to know whether people work, how long they work, and the types of jobs they are engaged in. The NLFS enables vital labour market statistics to be monitored regularly across Nigeria, including the employment-to-population ratio, unemployment rate, underemployment rate, and key job characteristics. NLFS data provides crucial evidence-based indicators to help inform policy making. Accordingly, NBS has significantly enhanced the methodology it uses to collect labour market data through the NLFS. This is in terms of the concepts and definitions used, as well as in the actual conduct of the survey. This has been done using International Labour Organisation (ILO) guidelines of the 19th International Conference of Labour Statisticians (ICLS) Resolutions2.

    Based on the new methodology adopted,about three-quarter of working-age Nigerians were employed - 76.7% in Q1 2023.This shows that most people were engaged in some type of jobs for at least one hour in a week, for pay or profit.About one-third (33.2% in Q1 2023) of employed persons worked less than 40 hours per week in this quarter. This was most common among women, individuals with lower levels of education, young people, and those living in rural areas.Underemployment rate which is a share of employed people working less than 40 hours per week and declaring themselves willing and available to work more was 12.2% in Q1 2023.The share of wage employment was 11.8% in Q1 2023 .Most Nigerians operate their own businesses or engaged in farming activities with 75.4% in Q1 2023.

    Furthermore, 10.6% in Q1 2023 were engaged helping (without pay or profit) in a household businesses. In Q1 2023, 2.2% were engaged as Apprentices/Interns.Unemployment stood at 5.3% in Q1 2023 and this aligns with the rates in other developing countries where work, even if only for a few hours and in low-productivity jobs, is essential to make ends meet, particularly in the absence of any social protection for the unemployed.20.1% of the working age population were out of labour force in Q1 2023 while the rate of informal employment among the employed Nigerians was 92.6%.

    Abstract

    The National Bureau of Statistics (NBS) has enhanced its methodology of collecting labour market data through the Nigeria Labour Force Survey (NLFS) in line with International Labour Organisation (ILO) guidelines.The data collection for the revised NLFS is based on a sample of 35,520 households nationwide of which 8,880 were selected quarterly. It is conducted continuously throughout the year, with national-level results produced quarterly and state-level results at the end of a full year.

    about three-quarter of working-age Nigerians were employed - 76.7% in Q1 2023.This shows that most people were engaged in some type of jobs for at least one hour in a week, for pay or profit.About one-third (33.2% in Q1 2023) of employed persons worked less than 40 hours per week in this quarter. This was most common among women, individuals with lower levels of education, young people, and those living in rural areas.Underemployment rate which is a share of employed people working less than 40 hours per week and declaring themselves willing and available to work more was 12.2% in Q1 2023.The share of wage employment was 11.8% in Q1 2023 .Most Nigerians operate their own businesses or engaged in farming activities with 75.4% in Q1 2023.

    Furthermore, 10.6% in Q1 2023 were engaged helping (without pay or profit) in a household businesses. In Q1 2023, 2.2% were engaged as Apprentices/Interns.Unemployment stood at 5.3% in Q1 2023 and this aligns with the rates in other developing countries where work, even if only for a few hours and in low-productivity jobs, is essential to make ends meet, particularly in the absence of any social protection for the unemployed.20.1% of the working age population were out of labour force in Q1 2023 while the rate of informal employment among the employed Nigerians was 92.6%.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Individual

    Version

    Version Description

    Version 1.0 (Anonymous dataset for public distribution)

    Version Date

    2023-05-30

    Version Notes

    This is the First Version of the Study

    Scope

    Notes

    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

    Geographic Coverage

    National Zone State Sector

    Universe

    Household Members

    Producers and sponsors

    Primary investigators
    Name Affiliation
    National Bureau of Stastistics Federal Government of Nigeria (FGN)
    Producers
    Name Role
    World Bank Technical support
    International Labour Organisation Technical support
    Funding Agency/Sponsor
    Name Abbreviation Role
    Federal Government of Nigeria FGN Funding

    Sampling

    Sampling Procedure

    The National frame of EAs demarcated for the forthcoming Housing and Population Census was used to select the study units.A household listing exercise was carried out on quarterly basis to update the sampling frame from which households were selected for interview. A two-stage cluster sampling design was adopted for this survey. The first was the selection of Enumeration Areas while,the second was the selection of households.

    First Stage Selection Ninety Six (96) EAs was selected in each State in which 24 EAs was canvassed quarterly in each State Nationally, a total of 3,552 EAs was covered in the 36 States of the Federation and FCT .

    For the Second Stage Selection, 10 HHs were systematically selected per EA. In each State, 240 HHs were interviewed in every quarter.Nationally, a total of 35,520 HHs will be covered while 8,880 were covered quarterly.All eligible household members aged 15 years and above were interviewed.

    Deviations from the Sample Design

    No Deviations

    Response Rate

    The household response rate is 100%.

    Weighting

    The weighting was computed, normalised and attached to the dataset.

    Survey instrument

    Questionnaires

    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.

    Methodology notes

    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

    Dates of Data Collection
    Start End Cycle
    2023-02-01 2023-05-30 12 Weeks
    Time periods
    Start date
    2023-08-24
    Mode of data collection
    • Face-to-face [f2f]
    Data Collectors
    Name Affiliation Abbreviation
    National Bureau of Statisics Federal Government of Nigeria (FGN) NBS
    Supervision

    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.
    Data Collection Notes

    Two (2) teams were constituted in each state and FCT. Each team consists of two (2) persons making four (4 ) Enumerators per state .Also,One (1) Supervisor were engaged in each state. Each team covered 4 EAs every month translating to 12 EAs in each quarter.In each EA,Ten (10) HHs were interviewed and Fieldwork lasted for 22 days per month.

    Data processing

    Data Editing

    Real - Time data editing took place at different stages throughout the processing which includes:

    1. Data editing and cleaning
    2. Structure checking and completeness
    3. Secondary editing
    4. Structural checking of data files

    Data appraisal

    Estimates of Sampling Error

    The margin of error of each quarter is 1% for national estimates.

    Data Appraisal

    A series of data quality tables and graphs are available in the reports.

    Data Access

    Access authority
    Name Affiliation URL Email
    National Bureau of Statistics (NBS) Federal Government of Nigeria (FGN) https://www.nigerianstat.gov.ng Feedback@nigerianstat.gov.ng
    Confidentiality
    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.
    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 Labour Force Survey v1.0 of the public use (October, 2023) provided by National Data Archive, https://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) NBS, 2023

    Contacts

    Contacts
    Name Affiliation Email URL
    Prince Semiu Adeyemi Adeniran (Statistician-General of the Federation/CEO NBS) National Bureau of Statistics saadeniran@nigerianstat.gov.ng https://www.nigerianstat.gov.ng
    Mr Biyi Fafunmi (Director ICT Department) National Bureau of Statistics biyifafunmi@nigerianstat.gov.ng https://www.nigerianstat.gov.ng
    Akinloye Adeyeye Elutade (NLFS Coordinator) National Bureau of Statistics aaelutade@nigerianstat.gov.ng https://www.nigerianstat.gov.ng
    Abiola Arosanyin National Bureau of Statistics avarosanyin@nigerianstat.gov.ng https://www.nigerianstat.gov.ng
    Saheed Bakare National Bureau of Statistics ssbakare@nigerianstat.gov.ng https://www.nigerianstat.gov.ng

    Metadata production

    DDI Document ID

    DDI-NGA-NBS-NLFS-Q12023-v1.0

    Producers
    Name Abbreviation Affiliation Role
    National Bureau of Statistics NBS Federal Government of Nigeria (FGN) Meta Producer
    Date of Metadata Production

    2023-10-07

    Metadata version

    DDI Document version

    Version 1.0 (October 2023).

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