IHSN Survey Catalog
  • Home
  • Microdata Catalog
  • Citations
  • Login
    Login
    Home / Central Data Catalog / RWA_2018_LFS_V01_M
central

Labor Force Survey 2018

Rwanda, 2018
Get Microdata
Reference ID
RWA_2018_LFS_v01_M
Producer(s)
National Institute of Statistics of Rwanda
Metadata
DDI/XML JSON
Created on
Dec 05, 2019
Last modified
Dec 05, 2019
Page views
4821
Downloads
264
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data processing
  • Access policy
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    RWA_2018_LFS_v01_M

    Title

    Labor Force Survey 2018

    Country
    Name Country code
    Rwanda RWA
    Study type

    Labor Force Survey [hh/lfs]

    Series Information

    Rwanda started conducting LFS twice a year since August 2016 to capture the seasonal variations of economic activities, i.e in February and in August. The five rounds of the Labour Force Survey which was implemented since August 2016 over a period of 6 months were used to collect data on the size and characteristics of the labour force, employment, unemployment and other labour market characteristics of the population. The current report presents the results of the annual report of 2018 LFS obtained by combining both rounds of LFS in 2018 (February and August 2018).

    Abstract

    The National Institute of Statistics of Rwanda (NISR) introduced the Labour Force Survey (LFS) program to avail statistics on employment and labour market in Rwanda on a continuous basis, providing bi-annual estimates of the main labour force aggregates. The main objective of the survey is to collect data on the size and characteristics of the labour force, employment, unemployment and other labour market characteristics of the population. The survey was also designed to measure different forms of work, in particular, own-use production work and other components of labour underutilization including time-related underemployment and potential labour force in line with the new international standards, adopted by the 19th International Conference of Labour Statisticians (ICLS) in 2013.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis
    • Individuals

    • Households

    Version

    Version Description

    v01: Edited, anonymous dataset for public distribution.

    Version Date

    2018-10-18

    Version Notes

    This is the first version of the data description

    Scope

    Notes

    The Labour force survey 2018 covered the demographic characteristics of individuals in the sampled households namely sex, age, education, employment, unemployment and other labour market characteristics. It has also measured different forms of work, in particular, own-use production work and other components of labour underutilization. In addition, the survey measured housing characteristics.

    Coverage

    Geographic Coverage

    Labor force survey data are at the National level coverage

    Universe

    The target population eligible for Labor force survey is 16 years old and above resident of selected households. However, the survey also collected data on certain particular labour-market related issues such as income from employment, migrant workers and workers with disabilities.

    It is important to note that the survey is limited to persons living in private households. It excludes the institutional population permanently residing in houses such as hostels; health resorts; correctional establishments etc., as well as persons living in seasonal dwellings not covered in the survey. It also excludes workers living at their work-sites. A household is a group of persons who live together and make common provision for food and other essentials for living. The people in the group may be related or unrelated or a combination of both. A household may consist of only one person or several persons.

    Producers and sponsors

    Primary investigators
    Name Affiliation
    National Institute of Statistics of Rwanda Ministry of Finance and Economic Planning
    Producers
    Name Affiliation Role
    Ministry of Public Service and Labor GoR Technical Partner in data collection
    Gesellschaft für Internationale Zusammenarbeit Technical Partner
    Funding Agency/Sponsor
    Name Role
    Government of Rwanda Funding

    Sampling

    Sampling Procedure

    The sample design of the LFS is a two-stage stratified design according to which at the first stage of sampling, a stratified sample of enumeration areas from the latest population census is drawn with probabilities proportional to size measured in terms of the census number of households or census number of household members, and at the second stage of sampling, a fixed number of sample of households is selected with equal probability within each sample enumeration areas. Finally, all household members in the sample households are selected for survey interviewing.

    The application of this principle with the choice of parameters described below leads to a sample size requirement of 18,691 households for measuring annual unemployment with margin of errors of +/- 0.3% at 95% confidence level. In these calculations, the main indicator is the ratio of unemployment to the working age population, set at r=0.024 according to the 2012 population census of Rwanda. The design effect (deff) is set at 3, within the range of values (3 to 4) generally used for labour force surveys. The margin of errors (ME = 0.0026) is twice the standard error of the estimate.13Similar calculations for employment gave a sample size requirement of 18,792 households.

    Because the sample size should be a multiple of 4x16 for February 2018 survey round, four rotation groups with 146 Primary Sampling Unit per rotation and 16 sample households per Primary Sampling Unit (PSU) that give a sample size of 9,344 households. Since we are shifting from bi-annual to quarterly LFS, August 2018 survey round has been set as a period of transition, therefore 530 PSU has been used with the sample size of 9,248 households. Two rounds of 2018 LFS have been rounded to the sample size 18,592 households.

    To ensure adequate geographical distribution of the sample over the different parts of the population, the sample is allocated among the 30 districts of the country. Prior to sample selection, the sampling frame is sorted according to urban and rural areas within districts. This provides an implicit stratification of the population by urban and rural areas. The resulting distribution of the sample of the February and August 2018 LFS rounds obtained on the basis of the square-root allocation is shown in the following tables. The sample design for February round provides a total of 9344 households in 584 enumeration areas, with 3248 urban households in 203 urban enumeration areas and 6096 rural households in 381 rural enumeration areas while the sample design for August round provides a total of 9248 households in 530 enumeration areas, with 3112 urban households in 180 urban enumeration areas and 6136 rural households in 381 rural enumeration areas.

    The next step in sample design was the selection of the 584 sample enumeration areas. The sample was drawn in each district by probability proportional to size (pps) from the sampling frame. In practice, the sample of enumeration areas were selected from the start for an entire sequence of 18 survey rounds from August 2016 to August 2023 when in principle a new sampling frame constructed on the basis of the next population and housing census will become available. The selected sample was then assigned randomly to 18 rotation groups. Sample enumeration areas in rotation groups R1 to R4 formed the sample for LFS August 2016. The sample of enumeration areas assigned to rotation groups R3 to R6 were used for LFS August 2017. The sample enumeration areas assigned to R4 to R7 will be used for LFS February 2018, and so on.
    Given that the August 2018 has been the transition to the quarterly design, a special composition of the August 2018 sample has been designed. It is composed of the old rotation group 5, the outgoing rotation group from the bi-annual design. It is also composed of the two other old rotation groups 6 and 7, randomly divided into three equal parts (6+7)/3, one serving as new rotation group r1, the other as new rotation group r2 and the third as new rotation group r3. Finally, the August 2018 sample include a randomly selected one-third of the old rotation groups 8 and 9, which was treated as the new households entering the sample. The other one-third samples (8+9)/3 will be used as the new households entering the sample in February 2019 and May 2019, respectively. The same procedure will be used for the new rotation groups entering the sample each quarter from August 2019 onward.

    The sample enumeration areas were freshly listed prior to selection of the final sample of households. According to the February 2018 sample design, 16 sample households were selected from the list of households in each sample enumeration area by systematic sampling with equal probability. If the list contained 16 households or less all households in the sample enumeration area were drawn in the sample. If the list contained more than 16 households, a sample of fixed size (16 households) was drawn from the list by systematic random sampling. In order to keep almost the same number of households, the sample intake of 24 households in 96 new enumerations areas were used in August 2018 sample size which resulted to the sample size of 9,248 instead of 9,344 sample households for previous rounds.

    Response Rate

    The response rate for labor force survey 2018 is 98.7%

    Weighting

    The data was weighted and benchmarked to the Rwanda labour force survey 2018. Three steps were involved in the calculation of the sample weights: Calculation of the design weight, Adjustment for non-response; and Calibration to known population projections.

    Survey instrument

    Questionnaires

    The questionnaire was drafted in English and translated into Kinyarwanda. An instruction manual was developed in order to guide the enumerators how to use better the questionnaire and conduct interviews.

    The questionnaire had the following sections:

    • A Household roster

    • Education

    • Identification of employed, time-related underemployed,

    • unemployed and potential labour force

    • Characteristics of main job/activity

    • Characteristics of secondary job/activity

    • Past employment

    • Own-use production of goods and services

    • Subsistence foodstuff production

    • Housing and household assets

    Data collection

    Dates of Data Collection
    Start End Cycle
    2018-02-04 2018-04-03 LFS February 2018
    2018-08-01 2018-09-30 LFS August 2018
    Data Collectors
    Name Affiliation
    National Institute of Statistics of Rwanda Ministry of Finance and Economic Planning
    Supervision

    The field work consisted of 2 coordinators, coordinating the work of 10 supervisors, 24 team leaders and 96 interviewers. So altogether the survey interviewing was carried out by a total of 120 interviewers. To complement and verify these quality control measures, NISR and Ministry of Public Service and Labour conducted independent field visits to verify field teams' implementation of the survey methodology and the interviewing process. Checks were also carried out to assess completeness and logical consistency of interview data.

    Data Collection Notes

    The main pre-survey activities conducted in preparation for the field operations included the establishment of the field organization, the recruitment and training of interviewers and the preparation of Tablets. The field work consisted of 2 coordinators, coordinating the work of 10 supervisors, 24 team leaders and 96 interviewers. So altogether the survey interviewing was carried out by a total of 120 interviewers. Interviews were conducted in both English and Kinyarwanda depending on the respondents.

    Data processing

    Data Editing

    Since August 2017 an electronic data collection system has replaced paper-based questionnaire and data were collected using computerized assisted interview (CAPI). Data was uploaded to NISR main office from field via wireless network channel by synchronizing every day with the NISR server. It was carried every day to have a daily back up of data. All the activity of codification was also done to the field by interviewers who were trained. Several questions with textual responses were pre-coded in tabled in cascaded way. These concerned education (major field of study in highest qualification attained, and subject of training), occupation and branch of economic activity (at main and secondary job and past employment experience). They were coded into the corresponding national standard classifications using on-screen coding with corresponding dictionaries in Kinyarwanda. Coding of geographic areas and addresses was incorporated in the data entry programme as look-up. Following coding, responses of each questionnaire were edited for blanks, missing values, duplicates, out-of-range values, and inconsistencies such as no head of household or age of child greater than age of head of household using developed batches of controlling inconsistence in CsPro and Stata. Edit rules were developed for consistency checks on questions related to the measurement of the main labour force variables, including employment, unemployment, multiple jobholding, total hours usually worked at all jobs, total hours actually worked at all jobs, status in employment at main job, etc. Corrections were made mostly with reference to the original physical questionnaire.

    Access policy

    Location of Data Collection

    National Institute of Statistics of Rwanda

    Archive where study is originally stored

    National Institute of Statistics of Rwanda
    https://microdata.statistics.gov.rw/index.php/auth/login/?destination=catalog/83/get_microdata
    Cost: None

    Data Access

    Access authority
    Name Affiliation URL Email
    NISR MINECOFIN http://microdata.statistics.gov.rw info@statistics.gov.rw
    NISR MINECOFIN http://microdata.statistics.gov.rw rwanda.nada@statistics.gov.rw
    Confidentiality
    Is signing of a confidentiality declaration required? Confidentiality declaration text
    yes By downloading, data users agree to maintain the confidentiality of the data and data subjects.
    Access conditions

    Public use files, accessible to all

    Citation requirements

    National Institute of Statistics of Rwanda. Rwanda Labour Force Survey 2018. Version 0.1.

    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) 2018, NISR

    Contacts

    Contacts
    Name Affiliation Email URL
    Labour Statistician National Institute of Statistics of Rwanda marc.mukundabantu@statistics.gov.rw www.statistics.gov.rw

    Metadata production

    DDI Document ID

    DDI_RWA_2018_LFS_v01_M

    Producers
    Name Affiliation Role
    National Institute of Statistics of Rwanda MINECOFIN Documentation of the study
    Date of Metadata Production

    2019-04-24

    Metadata version

    DDI Document version

    Version 01 (April 2019). This version is identical to version 1.0 of National Institute of Statistics of Rwanda- NISR (2019-01-04), except for the sections on DDI ID Number and ID Number which were updated.

    Back to Catalog
    IHSN Survey Catalog

    © IHSN Survey Catalog, All Rights Reserved.