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Intergrated Labour Force Survey 2014

Tanzania Mainland, 2014
National Bureau of Statistics
Last modified September 02, 2019 Page views 3262 Documentation in PDF Metadata DDI/XML JSON
  • Study description
  • Documentation
  • Data Description
  • Get Microdata
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data Collection
  • Data Processing
  • Data access
  • Disclaimer and copyrights
  • contacts
  • Metadata production

Identification

idno
TZA-NBS-ILFS-2014-v01.0
Title
Intergrated Labour Force Survey 2014
Country
Name Country code
Tanzania Mainland TZA
Abstract
The objective of the 2014 ILFS surveys is to collect labour market information and other socio-economic data required for policy formulation and decision making in planning processes. Moreover, the 2014 ILFS findings, will enhance monitoring and evaluation of the national development frameworks such as the Tanzania Vision 2025 and Millennium Development Goals in respect of economic growth and reduction of income poverty. The 2014 ILFS used the sampling frame derived from 2012 Population and Housing Census (PHC). The sample selection methodology was based on a stratified three-stage sample design. The first stage involved systematic sampling whereby 480 EAs were selected, out of this 360 EAs were selected from urban areas and 120 EAs were selected from rural areas. The second stage involved systematic sampling procedure for selecting households from each selected EA. A total of 24 households were selected from each sampled EA. The third stage involved selection of respondents for Time Use Module. The fieldwork was conducted on quarterly basis in order to capture seasonal variations of economic activities. The overall sample size was 11,520 households with, 2,880 households in each quarter. Since the quarterly sub-samples are not representative, the LFS indicators are computed after appending cases from all the four quarters. After merging cases from four quarters, the realised response was 11,472 households giving a response rate of 99.6 percent covering 47,199 individuals.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Households and Individuals

Version

Version number
Version 01.0 (Public file for web dissemination)
Version Date
2015-12-01

Scope

Topic Classification
Topic Vocabulary URI
Employment [3.1] CESSDA http://www.nesstar.org/rdf/common
Unemployment [3.5] CESSDA http://www.nesstar.org/rdf/common

Coverage

Geographic Coverage
National level,and three domains of rural, urban and Dar es salaam
Unit of Analysis
Households and Individuals
Universe
The survey covered all de jure residents of selected households

Producers and sponsors

Producers
Name Affiliation Role
Ministry of Labour and Employment
Funding Agency/Sponsor
Name Abbreviation Role
Tanzania Statistical Master Plan TSMP
International LabourOrganisation ILO
United Nation Children Fund UNICEF
Government of Tanzania TZA

Sampling

Sampling Procedure
The 2014 ILFS used the sampling frame derived from 2012 Population and Housing Census (PHC). The sample selection methodology is based on a stratified three-stage sample design. The first stage involved systematic sampling whereby 480 EAs were selected, out of this 360 EAs were selected from urban areas and 120 EAs were selected from Rural areas. The second stage involvedsystematic sampling procedure for selecting households from each selected EA. A total of 24 households were selected from each sampled EA. The third stage involved selection of respondents for Time Use Module. In this stage,an interviewer was required to develop a household register for persons of age 5 years or above in accordance to their sex and age. One household member was selected from the register using KISH grid approach from every 5th household in the list of households. Thereafter the time use questionnaire was administered to the selected member of the household in each selected household.

The sample size requirements were derived basing on the level of precision set for the main variables from the previous 2006 ILFS. The sample was designed to provide labour market information with 95 percent confidence interval in three main domains namely; Dar es Salaam, Other Urban and Rural areas. In each selected EA, 24 households were interviewed during the survey period of which, six households were interviewed in each quarter making a total of 11,520 households in Tanzania Mainland. Among these households, 4,800 were in Dar es Salaam, 3,840 in Other Urban areas and 2,880 in Rural areas. For thosehousehold which could not be interviewed due to absence of respondents or household not Found, replacements were made. However, for households which could not be interviewed because of refusal no replacement were made.

The fieldwork was conducted on quarterly basis with a three months interval to capture seasonal variations of economic activities. The target sample size was 11,520 households with, 2,880 households spread to each quarter. Since the quarterly sub samples are not representative, the ILFS indicators were computed after appending the cases from the four quarters. After merging cases from the four quarters the realised response was 11,472 households giving a response rate of 99.6 percent covering 47,199 individuals.
Deviations from the Sample Design
No househlods or domains which could not be covered in data collection and thus necessitating deviations from the sampling design. The data collection exercise was carried out as per the requirements of sampling design.
Weighting
The weight variable is called ADWEIGHT,It is computed as an inverse of the probability of selection of the household at the sampling domains of Dar es salaam, Other urban and Rural.
The household weights were adjusted for non-response at the domain level and then normalized so that, total population of these households at the respective three domains were equal to total population in private households in Tanzania mainland in 2014 as projected by 2012 Population and Housing Cencus.

Data Collection

Dates of Data Collection (YYYY/MM/DD)
Start date End date Cycle
2014-02-03 2014-03-31 1
2014-04-01 2014-06-30 2
2014-07-01 2014-09-30 3
2014-10-01 2014-12-31 4
Mode of data collection
Face-to-face [f2f]
Supervision
The enumerators were organised in teams in each of the regions of Tanzania mainland.The number of enumerators in the regions depended on the number of Enumeration Area selected in that partiicular region.
One supervisor was attached to each regional team of the enumerators,except for Dar es salaam which had about 6 supervisors.The role of the supervisors was to check for consistence and correctness of the the
filled questionaires before they were collected at the Regional Statistical Manager's Office. Moreover the field supervisors would introduce the enumerators to Village or Ward Executive Officers for any assistance that would be required by the enumerators in data collection. On top of the field supervision, Supervsion was also carried out in each region by Labour Force Technical Committee from the NBS Head quarters. This second phase supervision provided an internsive validation of replies in the questionnaires.In case major errors or inconsistances were noted, enumerators were sent back to the field for corrections.The Regional Statistical Managers provided administrative supervision and supportt for data collcection.
Type of Research Instrument
The questionnaire for the 2014 Integrated Labour Force Survey (ILFS) consists of four modules of Labour Force, Informal Sector, Working Children and Time Use.The questionnaire was developed in both English and Kiswahili languages based on stanard labour force questions included in 2006 ILFS with some additions and improvements. The questionnaire were developed in English and Kiswahili versions.However the questionnaire in Kiswahili was used for data collection during the field work.

General Labour Force Module
The Labour Force module consists of two forms namely; Labour Force Survey Form1 (LFS1) and Labour Force Survey Form2 (LFS2).
LFS1 is designed to capture information of household characteristics such as household members profile, disability, migration, level of education, training, household economic activities, household amenities, access to public services and ownership of assets by households. LFS2 is an individual questionnaire which covers information of persons aged 5 years or above who were members of the selected households. It captures information on usual economic activities, current economic activities, unemployment, main economic activities, secondary economic activities, informal sector for both main and secondary activities, hours of work and income from employment.

Informal Sector Module
The Informal Sector Module is aimed at capturing information on the characteristics of informal Sector activities which includes year of starting business, places where such business are conducted, access to loans and characteristics of employment.

Working Children Module
The Working Children Module aims at collecting information on work status of children aged 5 to 17 years. It captures information for both economic and non economic activities performed by a child, school attendance, hours worked and health and safety aspects.

Time Use Survey (TUS) Module
The major purpose of TUS is to develop nationally representative estimates of how people spend their time in different activities. Many users of Time Use statistics are interested in the amount of time persons spend doing unpaid and nonmarket work, which could include unpaid childcare and adult care, housework, and volunteering.
Data Collectors
Name Abbreviation Affiliation
NATIONAL BUREAU OF STATISTICS NBS Ministry of Finance
MINISTRY OF LABOUR AND EMPLOYMENT MOLE

Data Processing

Cleaning Operations
The initial manual data editing was carried out at regional head quarters where filled questionnaires from the respective regions were collected. In this stage some interviewers were returned to the field to carry out the corrections for the issues identified during the editing.

Secondly, an intensive editing phase was conducted at the Data Processing Center.This phase included filling in the spaces in questionnaires which were left for official purposes.This information included filling in standard codes for Tanzania Standard for Classification of Occupations (TASCO), Industry (ISIC-Rev 4), Codes for Subject of Trainning, and ICATUS codes.In addition this stage involved checking the logical flow of responses in the filled questionnaires.

Data entry was done using a previously - designed data capturing system running on CSPro. After keying in the data, normally a handful of errors may be found in the data file resulting from combination of human and computer errors. For this reason, a series of edit routines were written in the CSPro batch edit facility to capture and ultimately clean the remaining inconsistencies.The cleaned dataset is available in SPSS.

Data access

Contact
Name Affiliation Email URI
Director General National Bureau of Statistics dg@nbs.go.tz www.nbs.go.tz
Conditions
Public use files, accessible to all
Citation requirement
National Bureau of Statistics, Integrated Labour Force Survey 2014 (ILFS 2014), Version 1.0 of the public use dataset (Desember 2015), provided by the Tanzania National Data Archive. www.nbs.go.tz

Disclaimer and copyrights

Disclaimer
The user of the data acknowledges that the original collector of the data and the funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Copyright
(c) 2015, National Bureau of Statistics

contacts

Contact
Name Affiliation Email URI
Director General National Bureau of Statistics dg@nbs.go.tz www.nbs.go.tz
Director of social Statistics Directorate National Bureau of Statistics ephraim.kwesigabo@nbs.go.tz www.nbs.go.tz
Manager for Labour and Price Depertment National Bureau of Statistics ruth.minja@nbs.go.tz www.nbs.go.tz

Metadata production

Document ID
TZA-NBS-ILFS-2014-v01
Producers
Name Abbreviation Affiliation Role
NATIONAL BUREAU OF STATISTICS NBS Ministry of Finance Data Producer
Date of Production
2015-12-01
Document version
Version 01.0(December 2015)
National Data Archive

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