Labor Force survey 2019
Rwanda, 2019
Get MicrodataIdentification
RWA_2019_LFS_v01_M
Labor Force survey 2019
| Name | Country code |
|---|---|
| Rwanda | RWA |
Labor Force Survey [hh/lfs]
The Rwanda Labour Force survey programme begun in 2016 with an annual sample spread into two rounds to provide bi-annual estimates of main indicators at the National level. From February 2019, the annual sample was spread into four rounds to provide estimates of main labour market indicators on quarterly basis at the National level.
This specific metadata combine data of all four rounds for which the data collection was conducted in 2019, specifically in February, May, August and November, to provide 2019 annual estimates at national and district level where applicable.
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.
Sample survey data [ssd]
Household and individual
Version
Edited, anonymous dataset for public use
2020-03-26
This is the first version of the data description
Scope
Labour statistics are used to describe and analyse the size and structure of labour markets and how these change over time and space, including differences between groups. They relate to persons and their economic activity, describing their characteristics and behaviours in and around the world of work.The Labour force survey 2019 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
Labour force survey data are at the National level coverage but Employment and Labour force participation rate are represented at the District level as well as by residential area.
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. The survey consider all 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.
Producers and sponsors
| Name | Affiliation |
|---|---|
| National Institute of Statistics of Rwanda | Ministry of Finance and Economic Planning |
| Name | Role |
|---|---|
| Government of Rwanda | Funding |
Sampling
Sample size determination in most household-based surveys with multi-stage stratified design is based on the principle of first calculating the required sample size for a single «domain» assuming a simple random sample design and no non-response. A domain is a well-defined population group for which estimates with pre-determined accuracy are sought. The results are then extended to allow for non-response and deviation from simple random sampling.
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 response rate for labor force survey 2019 is 98.6%
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. The design weight of a given sample household is the inverse of the probability of selection of a sample household. This probability is calculated as the product of two probabilities.
Survey instrument
The questionnaire of the Rwanda Labour Force Survey 2018 in its present form contains a total of 149 questions organized into 9 sections and a cover page, dealing with following topics:
A. Household roster (All Household member)
B. Education (Person with 14 years and above)
C. Identification of employed, time-related underemployed, unemployed and potential labour force (Person with 14 years and above)
D. Characteristics of main job/activity (Person with 14 years and above)
E. Characteristics of secondary job/activity (Person with 14 years and above)
F. Past employment (Person with 14 years and above)
G. Own-use production of goods and services (Person with 14 years and above)
H. Subsistence foodstuff production (Person with 14 years and above & Household)
I. Housing and household assets (Household)
Not all questions are addressed to every household member. For children below 14 years of age, a minimum number of questions are asked. For older youngsters and adults 14 years of age and above, the number of questions depends on the situation and activities of the person during the reference period. The basic reference period is the last 7 days prior to the date of the interview. For certain questions, however, other reference periods are used. In each case, the relevant reference period is indicated in the text of the question.
Data collection
| Start | End | Cycle |
|---|---|---|
| 2019-02-01 | 2019-02-28 | First Quarter |
| 2019-05-01 | 2019-05-31 | Second Quarter |
| 2019-08-01 | 2019-08-30 | Third Quarter |
| 2019-12-01 | 2019-12-31 | Fourth Quarter |
| Name | Affiliation |
|---|---|
| National Institute of Statistics of Rwanda | Ministry of Finance and Economic Planning |
The field work consisted of 2 coordinators, coordinating the work of 12 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.
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 12 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
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 severs from the 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 were 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 program 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
National Institute of Statistics of Rwanda
National Institute of Statistics of Rwanda
https://microdata.statistics.gov.rw/index.php/catalog/92
Cost: None
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| National Institute of Statistics of Rwanda | Ministry of Finance and Economic Planning | www.statistics.gov.rw | Info@statistics.gov.rw |
| Is signing of a confidentiality declaration required? | Confidentiality declaration text |
|---|---|
| yes | Confidentiality of respondents is guaranteed by low N° 45/2013 OF 16/06/2013 in it's article 17, before being granted access to the dataset, all users have to formally agree: 1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the data depositor. 2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified on public use data files. 3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediate brought to the attention of the data. |
National Institute of Statistics of Rwanda (NISR), Labour Force Survey, Annual report 2019, March 2020
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) 2019, National Institute of Statistics of Rwanda
Contacts
| Name | Affiliation | |
|---|---|---|
| National Institute of Statistics of Rwanda | Ministry of Finance and Economic Planning | info@statistics.gov.rw |
Metadata production
RWA_2019_LFS_v01_M
| Name | Affiliation | Role |
|---|---|---|
| National Institute of Statistics of Rwanda | Ministry of Finance and Economic Planning | Documentation of the Study |
2020-03-26
Metadata version
Version 2 (August 2020)
2020-08-20
Edited version based on the original version (RWA-NISR-RLFS-2019-v0.1) that was produced by the National Institute of Statistics of Rwanda.