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    Home / Central Data Catalog / TZA-2015-FSEES-V01-M
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Formal Sector Employment and Earnings Survey 2015/2016

Tanzania, 2015 - 2016
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Reference ID
TZA-2015-FSEES-v01-M
Producer(s)
The Office of Chief Government Statistician
Metadata
Documentation in PDF DDI/XML JSON
Created on
Nov 19, 2023
Last modified
Jul 04, 2024
Page views
922
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  • emp cleaned
    2015-2016

Data file: emp cleaned 2015-2016

The file contain data related to:
Identification
Description of Business
Employment and earnings as at 30 June 2016
Wage rate (shs per month)
The Distribution of Permanent Employees according to the their experiences
The Distribution of Temporary Employees in Contract Basis according to their Experiences
Casual Workers
Benefits; Includes other benefits who are paid employees from July 2014 to June 2015
Number of New Workers Employed During the Last 12 Months
Current Job Vacancies For The Last 12 Months ( JULY 2014 - JUNE 2015)

Cases: 712
Variables: 472

Variables

STARTING_SALARY_09
Starting Salary
STARTING_SALARY_10
Starting Salary
STARTING_SALARY_11
Starting Salary
STARTING_SALARY_12
Starting Salary
STARTING_SALARY_13
Starting Salary
STARTING_SALARY_14
Starting Salary
STARTING_SALARY_15
Starting Salary
STARTING_SALARY_16
Starting Salary
STARTING_SALARY_17
Starting Salary
MALE_01
Number of Male
MALE_02
Number of Male
MALE_03
Number of Male
MALE_04
Number of Male
MALE_05
Number of Male
MALE_06
Number of Male
MALE_07
Number of Male
MALE_08
Number of Male
MALE_09
Number of Male
MALE_10
Number of Male
MALE_11
Number of Male
MALE_12
Number of Male
MALE_13
Number of Male
MALE_14
Number of Male
MALE_15
Number of Male
MALE_16
Number of Male
MALE_17
Number of Male
FEMALE_01
Number of Female
FEMALE_02
Number of Female
FEMALE_03
Number of Female
FEMALE_04
Number of Female
FEMALE_05
Number of Female
FEMALE_06
Number of Female
FEMALE_07
Number of Female
FEMALE_08
Number of Female
FEMALE_09
Number of Female
FEMALE_10
Number of Female
FEMALE_11
Number of Female
FEMALE_12
Number of Female
FEMALE_13
Number of Female
FEMALE_14
Number of Female
FEMALE_15
Number of Female
FEMALE_16
Number of Female
FEMALE_17
Number of Female
TASCO_01
TASCO Codes
TASCO_02
TASCO Codes
TASCO_03
TASCO Codes
TASCO_04
TASCO Codes
TASCO_05
TASCO Codes
TASCO_06
TASCO Codes
TASCO_07
TASCO Codes
TASCO_08
TASCO Codes
TASCO_09
TASCO Codes
TASCO_10
TASCO Codes
TASCO_11
TASCO Codes
OPENVACANCY_01
Number of Open Vacancies
OPENVACANCY_02
Number of Open Vacancies
OPENVACANCY_03
Number of Open Vacancies
OPENVACANCY_04
Number of Open Vacancies
OPENVACANCY_05
Number of Open Vacancies
OPENVACANCY_06
Number of Open Vacancies
OPENVACANCY_07
Number of Open Vacancies
OPENVACANCY_08
Number of Open Vacancies
OPENVACANCY_09
Number of Open Vacancies
OPENVACANCY_10
Number of Open Vacancies
OPENVACANCY_11
Number of Open Vacancies
WORKEXP_01
Work Experience
WORKEXP_02
Work Experience
WORKEXP_03
Work Experience
WORKEXP_04
Work Experience
WORKEXP_05
Work Experience
WORKEXP_06
Work Experience
WORKEXP_07
Work Experience
WORKEXP_08
Work Experience
WORKEXP_09
Work Experience
WORKEXP_10
Work Experience
WORKEXP_11
Work Experience
Q4_0_01
Q4.0 RITEAR
Q4_0_02
Q4.0 RITEAR
Q4_0_03
Q4.0 RITEAR
Q4_0_04
Q4.0 RITEAR
Q4_0_05
Q4.0 RITEAR
Q4_0_06
Q4.0 RITEAR
Q4_0_07
Q4.0 RITEAR
Q4_0_08
Q4.0 RITEAR
Q4_0_09
Q4.0 RITEAR
Q4_0_10
Q4.0 RITEAR
Q4_0_11
Q4.0 RITEAR
Q4_1_SEX_01
Q4.1 SEX
Q4_1_SEX_02
Q4.1 SEX
Q4_1_SEX_03
Q4.1 SEX
Q4_1_SEX_04
Q4.1 SEX
Q4_1_SEX_05
Q4.1 SEX
Q4_1_SEX_06
Q4.1 SEX
Q4_1_SEX_07
Q4.1 SEX
Q4_1_SEX_08
Q4.1 SEX
Q4_1_SEX_09
Q4.1 SEX
Q4_1_SEX_10
Q4.1 SEX
Q4_1_SEX_11
Q4.1 SEX
Q4_2_01
Q4.2
Q4_2_02
Q4.2
Q4_2_03
Q4.2
Q4_2_04
Q4.2
Q4_2_05
Q4.2
Q4_2_06
Q4.2
Q4_2_07
Q4.2
Q4_2_08
Q4.2
Q4_2_09
Q4.2
Q4_2_10
Q4.2
Q4_2_11
Q4.2
Q5_0_01
Q5.0 RITEAR
Q5_0_02
Q5.0 RITEAR
Q5_0_03
Q5.0 RITEAR
Q5_0_04
Q5.0 RITEAR
Q5_0_05
Q5.0 RITEAR
Q5_0_06
Q5.0 RITEAR
Q5_0_07
Q5.0 RITEAR
Q5_0_08
Q5.0 RITEAR
Q5_0_09
Q5.0 RITEAR
Q5_0_10
Q5.0 RITEAR
Q5_0_11
Q5.0 RITEAR
Q5_1_SEX_01
Q5.1 SEX
Q5_1_SEX_02
Q5.1 SEX
Q5_1_SEX_03
Q5.1 SEX
Q5_1_SEX_04
Q5.1 SEX
Q5_1_SEX_05
Q5.1 SEX
Q5_1_SEX_06
Q5.1 SEX
Q5_1_SEX_07
Q5.1 SEX
Q5_1_SEX_08
Q5.1 SEX
Q5_1_SEX_09
Q5.1 SEX
Q5_1_SEX_10
Q5.1 SEX
Q5_1_SEX_11
Q5.1 SEX
Q5_2_01
Q5.2
Q5_2_02
Q5.2
Q5_2_03
Q5.2
Q5_2_04
Q5.2
Q5_2_05
Q5.2
Q5_2_06
Q5.2
Q5_2_07
Q5.2
Q5_2_08
Q5.2
Q5_2_09
Q5.2
Q5_2_10
Q5.2
Q5_2_11
Q5.2
Male
Female
TotalEmployment
MaleCitizen
FemaleCitizen
Totalcitizen
Malenoncitizen
Femalenoncitizen
Totalnoncitizen
Malepermanent
Femalepermanent
Totalpernmanent
Maletemporary
Femaletemporary
Totaltemporary
Totalcausal
Malecitizen1
Femalecitizen1
malenoncitizen2
MaleSal
Male
FemaleSal
Female
TotalSal
Total
Total1
Total
Male1
Male
Female1
Male
Total
Pcirtizensalary
Industry
sector
SECTOR
filter__
sector = 3 (FILTER)
Total: 472
<12
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