Somali Labour Force survey 2019
Somalia, 2019
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Reference ID
SOM-SNBS-SLFS-2019-v0.1
Producer(s)
Somalia National Bureau of Statistics,
Metadata
Created on
Sep 13, 2021
Last modified
Jul 21, 2023
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Identification
Survey ID Number
SOM-SNBS-SLFS-2019-v0.1
Title
Somali Labour Force survey 2019
Country
| Name | Country code |
|---|---|
| Somalia | SO |
Study type
Labor Force Survey [hh/lfs]
Abstract
The Somalia National Bureau of Statistics (SNBS) introduced the Labour Force Survey (LFS) program to avail statistics on employment and labour market in Somalia 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
Household and individual
Version
Version Description
Version 0.1 Edited anonymized dataset for public use
Version Date
2019
Scope
Notes
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
Geographic Coverage
Labour force survey data are at the National level coverage but Employment and Labour force participation rate are represented at District level as well as by residential area.
Universe
The target population eligible for Labor force survey is 15 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 & workers with disabilities. The survey considers 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
Producers and sponsors
Primary investigators
| Name |
|---|
| Somalia National Bureau of Statistics |
Producers
| Name | Affiliation | Role |
|---|---|---|
| Somalia National Bureau of Statistics | Ministry of Planning, Investment and Economic Development of Somalia. | Main producer |
| Ministry of Labour and Social Services | Producer | |
| Ministries of Planning FMS | Technical Assistance (Data Collection) | |
| International Labour Organization | Technical Assistance |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| International Labour Organization | ILO | Funding |
Sampling
Sampling Procedure
Sample selection was carried out independently in each of the identified strata. The LFS 2019 was a national cross-sectional survey using eighteen independent strata, which were the 18 regions. The eighteen strata had a total of 300 clusters, and each cluster consisted of 15 households thus resulting in a total of 4,500 households. In the settled strata (i.e. strata 1-5), systematic random sampling with probability proportional to size was used based on PESS sampling frame.
The sedentary population was drawn independently from the sampling frame. The sampling method employed the 2014 Population Estimation Survey for Somalia (PESS) was followed, and data from these surveys was useful for carrying out the sampling process.
All the eighteen (18) strata had a total of 300 clusters, and each cluster had 15 households resulting in 4,500 households in total. Non-response was already accounted for in the sample size calculations, replacement of non-responding households was done after the third unsuccessful recall is made. In addition, the clusters in each stratum were drawn after excluding areas that are identified to pose insecurity. Cluster selection was done a couple of weeks prior to the survey field work to enable the survey teams to familiarize themselves with them so as to enhance accessibility during fieldwork.
The sedentary population was drawn independently from the sampling frame. The sampling method employed the 2014 Population Estimation Survey for Somalia (PESS) was followed, and data from these surveys was useful for carrying out the sampling process.
All the eighteen (18) strata had a total of 300 clusters, and each cluster had 15 households resulting in 4,500 households in total. Non-response was already accounted for in the sample size calculations, replacement of non-responding households was done after the third unsuccessful recall is made. In addition, the clusters in each stratum were drawn after excluding areas that are identified to pose insecurity. Cluster selection was done a couple of weeks prior to the survey field work to enable the survey teams to familiarize themselves with them so as to enhance accessibility during fieldwork.
Weighting
The selection probabilities of all the sample elements were computed for all the stages of sample selection. The inverse of the probabilities of selection yielded the weights. The weights included base, post stratification and non-response adjustment weights as appropriate.
The LFS sample has been selected from PESS frame of “Accessible” households, stratified by region and type of localities. A total of 304 EAs were selected for the sample and 15 households were targeted in each EA, for a total of 4560 Households. However, 2 of the regions were completely inaccessible therefore were not covered by the sample.
The LFS sample has been selected from PESS frame of “Accessible” households, stratified by region and type of localities. A total of 304 EAs were selected for the sample and 15 households were targeted in each EA, for a total of 4560 Households. However, 2 of the regions were completely inaccessible therefore were not covered by the sample.
Data Collection
Dates of Data Collection
| Start |
|---|
| 2019 |
Data Collection Mode
Face-to-face [f2f]
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 LFS 2019 was executed by approximately 12-15 teams, with 2-3 teams assigned to each stratum on average; the same team may work in several strata, depending on the spatial distribution of the PSU's once selected. Each team is expected to complete approximately 8-9 PSUs during their mandate. However, adjustments to the number of PSUs assigned to each team was made after PSU selection to account for hard-to-reach PSUs that required more time for transportation and logistical arrangements.
Each LFS 2019 field team was made up of the following personnel, one Team Leader, four Interviewers, and one Driver
Each LFS 2019 field team was made up of the following personnel, one Team Leader, four Interviewers, and one Driver
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Data and Resource Center | Somalia National Bureau of Statistics | snbs@nbs.gov.so | www.nbs.gov.so & microdata.nbs.gov.so |
Confidentiality
By accepting the terms of Conditions of Microdata access, the user agrees to respect the confidentiality.
Access conditions
This is a public use file (accessible to all).
Citation requirements
Somalia National Bureau of Statistics, Federal Government of Somalia, Somali Labour Force Survey (SLFS 2019)
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Somalia National Bureau of Statistics | Data and Resource Center | snbs@nbs.gov.so | www.nbs.gov.so & microdata.nbs.gov.so |
Disclaimer and copyrights
Copyright
(c)2019, Somalia National Bureau of Statistics
Metadata production
DDI Document ID
SOM-SNBS-SLFS-2019-v0.1
Producers
| Name | Abbreviation | Role |
|---|---|---|
| Somalia National Bureau of Statistics | SNSB | Study Description |
Date of Metadata Production
2019
DDI Document version
v1