TZA-NBS-EES-2017-V01
FORMAL SECTOR EMPLOYMENT AND EARNINGS SURVEY, 2017 TANZANIA MAINLAND
Name | Country code |
---|---|
Tanzania | TZA |
Enterprise Survey [en/oth]
The history of the Employment and Earnings Surveys (EES) in Tanzania goes back to 1963 when the first post-independence survey was launched and this survey is the twelfth after the 2001 EES
The EESs are conducted by the National Bureau of Statistics (NBS), as mandated by Statistics Act 2015 and its 2018 and 2019 Amendments, which empowers NBS to collect, compile and disseminate official statistics in the country. The summary is presented for the six main topical areas namely: -Employment Profile; Wage Rates Profile; Cash Earnings Profile; Annual Wage Bill Profile; Newly Recruited Workers; and Job Vacancies
Sample survey data [ssd]
Formal establishment
V0.1
2019-11
The EES scope is delimited to formal establishments dealing with any of the economic activities with exception of activities of households as employers and activities of extraterritorial organizations. The survey covers establishments in 26 regions of Tanzania Mainland
Tanzania Mainland Regional level
The survey covers all formal establishment with employees in both public and private sectors. establishment are divided in three main which are all public sector establishment, all registrated private establishmnent employ at least 50 persons and a sample of registrated of private establishments whose number of employees are from 5-49 persons.
Name | Affiliation |
---|---|
National Bureau of Statistcs | Ministry of Finance and Planning |
Name | Role |
---|---|
Ministry of Finance and Planning | Financial support |
The 2017Employment and Earnings Survey is an establishment- based survey which covered a total
of 10,896establishments from a frame of 52,429establishments. The frame consisted ofall public
establishments and formal private establishments employing 5 persons or above
The survey covered all public -sector establishments and private sector establishments with at least
50 employees. Furthermore, the survey covered a sample of private establishments employing 5 to
49 persons. The sampling for this group involved stratifying establishments into those with 5 to 9
employees and those with 10 to 49 employees. Establishments in these strata were further stratified
on the basis of their economic activities and ultimately a single stage sampling technique was used to
derive representative establishments from each activity using the probability proportion to size (PPS).
81.4
Weight = N/n
Establishment based questionairre was development in english and was translated in swahili language
Start | End |
---|---|
2017 | 2017 |
Name | Affiliation |
---|---|
National Bureau of Statistics | Ministry of Finance and Panning |
Interveving was conducted by team of suprvisors. The role of supervisor was to cordinate field data collection activity
Training of enumerators was conducted
Data editing took place at a number of stages throughout the processing, including:
a) Office editing and coding
b) During data entry
c) Structural checking of SPSS data files
Estimates from a sample survey are affected by two types of errors: 1) non-sampling errors and 2) sampling errors. Non-sampling errors are the results of mistakes made in the implementation of data collection and data processing. Numerous efforts were made during implementation of the EES 2017 to minimize this type of error, however, non-sampling errors are impossible to avoid and difficult to evaluate statistically.
Name | Affiliation | URL | |
---|---|---|---|
National Bureau of Statistics | Ministry of Finance and Planning | https://www.nbs.go.tz/index.php/en/census-surveys/labour-statistics/550-formal-sector-employment-and-earnings-survey-2017-tanzania-mainland | sg@nbs.go.tz |
Is signing of a confidentiality declaration required? | Confidentiality declaration text |
---|---|
yes | Confidentarity of respondents is guaranteed by statistics Act No.9 of 2015 before being granted access to the dataset all users have formally agreed |
Tanzania NBS considered three levels of accessibility:
The dataset has been anonymized and available as a public use dataset. It accessible to all for statistical and research purposes only, under the following terms and conditions:
The data and other material will not be redistributed or sold to other individuals, institutions, or organization without the written agreement of the Tanzania National Bureau of Statistics.
The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations.
No attempt will be made to produce links among dataset provided by the National Bureau of Statistics, or among data from the (National Bureau of Statistics) and other datasets that could identify individuals or organizations.
No attempt will be made to re-identify respondents, and no use will be made of the identify of any person or establishment discovered inadvertently. Any such discovery would immediately be reported to the National Bureau of Statistics.
Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the National Bureau of Statistics will cite the source of data in accordance with the Citation Requirement provided with each dataset.
National Bureau of Statistics (NBS) [Tanzania] 2019. Employment and Earnings Survey Report (EES) - 2017. Dodoma, Tanzania: NBS.
"The user of the data should acknowledge that, Tanzania National Bureau of Statistics is 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 without a written agreement from the National Bureau of Statistics".
Copyright: (c) 2019,National Bureau of Statistics
Name | Affiliation | URL | |
---|---|---|---|
Survey Director | National Bureau of Statistics | sg@nbs.go.tz | www.nbs.go.tz |
DDI-TZA-NBS-EES-2017-v01
Name | Affiliation | Role |
---|---|---|
National Bureau of Statistics | Ministry of Finance and Planning | Produce Data |
2019-11
version 1.0