Government & Institutions Statistics in Tanzania

Explore trusted government & institutions data and trends for Tanzania.

All Government & Institutions datasets for Tanzania (409)

Dataset
Licensing required for exports of alcoholic beverages
WHO
0%
Licensing required for imports of alcoholic beverages
WHO
0%
Licensing required for wholesale/distribution of alcoholic beverages
WHO
0%
Monopoly on exports of alcoholic beverages
WHO
+1
SDG Harmonized Global Dataflow
OECD
−18.5%
Proportion of women in ministerial level positions (%)
Gender Statistics
+9.5%
Prefers receiving government news by phone call (% age 15+)
Gender Statistics
–
Prefers receiving government news by phone call, women (% age 15+)
Gender Statistics
–
Prefers receiving government news by phone call, men (% age 15+)
Gender Statistics
–
Accessed government services/info online in past three months (% age 15+)
Gender Statistics
–
Digital ID Verification (1=yes; 0= no)
Identification for Development (ID4D) Data
–
Online Digital Identity (1=yes; 0= no)
Identification for Development (ID4D) Data
0
Digital Data Use (1=yes; 0= no)
Identification for Development (ID4D) Data
–
ID ownership, 25 and older (%)
Identification for Development (ID4D) Data
+19%
Birth certification (%)
Identification for Development (ID4D) Data
–
ID ownership, poorest 40% (% age 15+)
Identification for Development (ID4D) Data
+5.9%
ID ownership, richest 60% (% age 15+)
Identification for Development (ID4D) Data
+0.5%
ID ownership, female (% age 15+)
Identification for Development (ID4D) Data
+2.8%
ID ownership, male (% age 15+)
Identification for Development (ID4D) Data
+2.6%
ID ownership, out of the workforce (% age 15+)
Identification for Development (ID4D) Data
−23.3%
ID ownership, primary education or less (% age 15+)
Identification for Development (ID4D) Data
+3.8%
ID ownership, rural (% age 15+)
Identification for Development (ID4D) Data
−2.2%
ID ownership, secondary education or more (% age 15+)
Identification for Development (ID4D) Data
−0.5%
ID ownership, urban (% age 15+)
Identification for Development (ID4D) Data
+17.1%
ID ownership (% age 15+)
Identification for Development (ID4D) Data
+2.6%
Children under age 5 whose births are registered, total (%)
Identification for Development (ID4D) Data
–
Children under age 5 whose births are registered, female (%)
Identification for Development (ID4D) Data
–
Children under age 5 whose births are registered, male (%)
Identification for Development (ID4D) Data
–
Challenge: Participating in elections, total (% of population ages 15+ without an ID)
Identification for Development (ID4D) Data
–
Challenge: Using financial services, total (% of population ages 15+ without an ID)
Identification for Development (ID4D) Data
–
Challenge: Receiving financial support, total (% of population ages 15+ without an ID)
Identification for Development (ID4D) Data
–
Challenge: Applying for a job, total (% of population ages 15+ without an ID)
Identification for Development (ID4D) Data
–
Challenge: Receiving medical care, total (% of population ages 15+ without an ID)
Identification for Development (ID4D) Data
–
Challenge: Obtaining a SIM card (% of population ages 15+ without an ID)
Identification for Development (ID4D) Data
–
ID ownership, ages 15-24 (% of population ages 15-24)
Identification for Development (ID4D) Data
−64%
Foundational ID has been used without permission for illegal purposes, total (% of population ages 15+ with an ID)
Identification for Development (ID4D) Data
–
Foundational ID has been used without permission for illegal purposes, female (% of female population ages 15+ with an ID)
Identification for Development (ID4D) Data
–
Foundational ID has been used without permission for illegal purposes, urban (% of urban population ages 15+ with an ID)
Identification for Development (ID4D) Data
–
Foundational ID has been used without permission for illegal purposes, out of the workforce (% of population ages 15+ out of the workforce with an ID)
Identification for Development (ID4D) Data
–
Foundational ID has been used without permission for illegal purposes, male (% of male population ages 15+ with an ID)
Identification for Development (ID4D) Data
–
Foundational ID has been used without permission for illegal purposes, ages 15-24 (% of population ages 15-24 with an ID)
Identification for Development (ID4D) Data
–
Foundational ID has been used without permission for illegal purposes, ages 25+ (% of population ages 25+ with an ID)
Identification for Development (ID4D) Data
–
Foundational ID has been used without permission for illegal purposes, primary (% of population ages 15+ with primary education and an ID)
Identification for Development (ID4D) Data
–
Foundational ID has been used without permission for illegal purposes, secondary (% of population ages 15+ with secondary education and an ID)
Identification for Development (ID4D) Data
–
Foundational ID has been used without permission for illegal purposes, richest 60% (% of population ages 15+ in the richest 60% with an ID)
Identification for Development (ID4D) Data
–
Foundational ID has been used without permission for illegal purposes, rural (% of rural population ages 15+ with an ID)
Identification for Development (ID4D) Data
–
Reason no ID: Too expensive, total (% of population ages 15+ without an ID)
Identification for Development (ID4D) Data
–
Reason no ID: Travel too far, total (% of population ages 15+ without an ID)
Identification for Development (ID4D) Data
–
Reason no ID: No documalets, total (% of population ages 15+ without an ID)
Identification for Development (ID4D) Data
–
Reason no ID: Do not need an ID, total (% of population ages 15+ without an ID)
Identification for Development (ID4D) Data
–
Reason no ID: Have another ID, total (% of population ages 15+ without an ID)
Identification for Development (ID4D) Data
–
Reason no ID: Uncomfortable sharing info, total (% of population ages 15+ without an ID)
Identification for Development (ID4D) Data
–
Net bilateral aid flows from DAC donors, Australia (current US$)
World Development Indicators
+100.7%
Net bilateral aid flows from DAC donors, Austria (current US$)
World Development Indicators
+116.3%
Net bilateral aid flows from DAC donors, Belgium (current US$)
World Development Indicators
−4.5%
Net bilateral aid flows from DAC donors, European Union institutions (current US$)
World Development Indicators
+19.3%
Net bilateral aid flows from DAC donors, Switzerland (current US$)
World Development Indicators
+6.6%
Net bilateral aid flows from DAC donors, Czechia (current US$)
World Development Indicators
+1,063.3%
Net bilateral aid flows from DAC donors, Germany (current US$)
World Development Indicators
+54%
Net bilateral aid flows from DAC donors, Denmark (current US$)
World Development Indicators
−57.1%
Net bilateral aid flows from DAC donors, Spain (current US$)
World Development Indicators
+10.2%
Net bilateral aid flows from DAC donors, Estonia (current US$)
World Development Indicators
–
Net bilateral aid flows from DAC donors, Finland (current US$)
World Development Indicators
−16.5%
Net bilateral aid flows from DAC donors, France (current US$)
World Development Indicators
−8.3%
Net bilateral aid flows from DAC donors, United Kingdom (current US$)
World Development Indicators
−9.9%
Net bilateral aid flows from DAC donors, Greece (current US$)
World Development Indicators
−95.7%
Net bilateral aid flows from DAC donors, Hungary (current US$)
World Development Indicators
−25.1%
Net bilateral aid flows from DAC donors, Ireland (current US$)
World Development Indicators
+2.5%
Net bilateral aid flows from DAC donors, Iceland (current US$)
World Development Indicators
−9.4%
Net bilateral aid flows from DAC donors, Italy (current US$)
World Development Indicators
−33%
Net bilateral aid flows from DAC donors, Japan (current US$)
World Development Indicators
−28.3%
Net bilateral aid flows from DAC donors, Korea, Rep. (current US$)
World Development Indicators
−37.2%
Net bilateral aid flows from DAC donors, Lithuania (current US$)
World Development Indicators
−99.9%
Net bilateral aid flows from DAC donors, Luxembourg (current US$)
World Development Indicators
−9.9%
Net bilateral aid flows from DAC donors, Netherlands (current US$)
World Development Indicators
+11.6%
Net bilateral aid flows from DAC donors, Norway (current US$)
World Development Indicators
+8.9%
Net bilateral aid flows from DAC donors, New Zealand (current US$)
World Development Indicators
−68%
Net bilateral aid flows from DAC donors, Poland (current US$)
World Development Indicators
−90.5%
Net bilateral aid flows from DAC donors, Portugal (current US$)
World Development Indicators
+22.6%
Net bilateral aid flows from DAC donors, Slovak Republic (current US$)
World Development Indicators
−60.5%
Net bilateral aid flows from DAC donors, Slovenia (current US$)
World Development Indicators
−67.7%
Net bilateral aid flows from DAC donors, Sweden (current US$)
World Development Indicators
−6.1%
Net bilateral aid flows from DAC donors, Total (current US$)
World Development Indicators
+7.2%
Net bilateral aid flows from DAC donors, United States (current US$)
World Development Indicators
+41.7%
Net official flows from UN agencies, SDGFUND (current US$)
World Development Indicators
+99.5%
Net official flows from UN agencies, SPRP (current US$)
World Development Indicators
−90.2%
Net official flows from UN agencies, UNAIDS (current US$)
World Development Indicators
+446.1%
Net official flows from UN agencies, UNCDF (current US$)
World Development Indicators
−8.3%
Net official flows from UN agencies, UNICEF (current US$)
World Development Indicators
+3.8%
Net official flows from UN agencies, UNHCR (current US$)
World Development Indicators
+9.4%
Net official flows from UN agencies, UNCOVID (current US$)
World Development Indicators
−802,000
Net official flows from UN agencies, UNDP (current US$)
World Development Indicators
+3.8%
Net official flows from UN agencies, UNEP (current US$)
World Development Indicators
–
Net official flows from UN agencies, UNFPA (current US$)
World Development Indicators
−5.9%
Net official flows from UN agencies, UNIDO (current US$)
World Development Indicators
–
Net official flows from UN agencies, UNPBF (current US$)
World Development Indicators
–
Net official flows from UN agencies, UNTA (current US$)
World Development Indicators
−63.7%
Net official flows from UN agencies, UNWOMEN (current US$)
World Development Indicators
+13.8%
Net official flows from UN agencies, WFP (current US$)
World Development Indicators
+67.2%
Net official flows from UN agencies, WHO (current US$)
World Development Indicators
+10.2%
Net official flows from UN agencies, WTO-ITC (current US$)
World Development Indicators
−52.6%
Net official development assistance and official aid received (current US$)
World Development Indicators
+15.6%
Net official development assistance and official aid received (constant 2021 US$)
World Development Indicators
+10.9%
Net official development assistance received (current US$)
World Development Indicators
+15.6%
Net ODA received (% of gross capital formation)
World Development Indicators
+10.9%
Net ODA received (% of GNI)
World Development Indicators
+10.8%
Net official development assistance received (constant 2021 US$)
World Development Indicators
+10.9%
Net ODA received (% of imports of goods, services and primary income)
World Development Indicators
+18.6%
Net ODA received per capita (current US$)
World Development Indicators
+12.3%
CPIA business regulatory environment rating (1=low to 6=high)
World Development Indicators
0%
CPIA quality of public administration rating (1=low to 6=high)
World Development Indicators
0%
CPIA property rights and rule-based governance rating (1=low to 6=high)
World Development Indicators
0%
CPIA public sector management and institutions cluster average (1=low to 6=high)
World Development Indicators
+3.2%
CPIA transparency, accountability, and corruption in the public sector rating (1=low to 6=high)
World Development Indicators
0%
Proportion of seats held by women in national parliaments (%)
World Development Indicators
0%
Government Effectiveness: Standard Error
World Development Indicators
+1.2%
Structural Reform Database (SRD)
IMF
0%
Health workers, as a share of public formal employees
Worldwide Bureaucracy Indicators
+574.2%
Public sector employment, as a share of formal employment, by industry: Education
Worldwide Bureaucracy Indicators
+11.2%
Public Administration workers, as a share of public formal employees
Worldwide Bureaucracy Indicators
−40.8%
Public sector employment, as a share of formal employment
Worldwide Bureaucracy Indicators
+47.8%
Public sector female employment, as a share of paid employment by occupational group: Clerks
Worldwide Bureaucracy Indicators
+23.9%
Public sector female employment, as a share of paid employment by industry: Education
Worldwide Bureaucracy Indicators
+10.7%
Public sector female employment, as a share of paid employment by occupational group: Elementary workers
Worldwide Bureaucracy Indicators
+53.7%
Public sector female employment, as a share of paid employment by industry: Health
Worldwide Bureaucracy Indicators
+22.2%
Public sector female employment, as a share of paid employment by occupational group: Professionals
Worldwide Bureaucracy Indicators
+5.4%
Public sector female employment, as a share of paid employment by occupational group: Manager
Worldwide Bureaucracy Indicators
+3.8%
Public sector female employment, as a share of paid employment by occupational group: Technicians
Worldwide Bureaucracy Indicators
−15.4%
Education workers, as a share of public paid employees
Worldwide Bureaucracy Indicators
+22.9%
Health workers, as a share of public paid employees
Worldwide Bureaucracy Indicators
−19%
Medical workers, as a share of public paid employees
Worldwide Bureaucracy Indicators
–
Public sector employment, as a share of paid employment, by occupational group: Clerks
Worldwide Bureaucracy Indicators
−21.4%
Public sector employment, as a share of paid employment, by industry: Education
Worldwide Bureaucracy Indicators
+12.1%
Public sector employment, as a share of paid employment, by occupational group: Elementary workers
Worldwide Bureaucracy Indicators
+27.5%
Public sector employment, as a share of paid employment by gender: Female
Worldwide Bureaucracy Indicators
−6.5%
Public sector employment, as a share of paid employment, by industry: Health
Worldwide Bureaucracy Indicators
+8.3%
Public sector employment, as a share of paid employment by gender: Male
Worldwide Bureaucracy Indicators
−4%
Public Administration workers, as a share of public paid employees
Worldwide Bureaucracy Indicators
+19%
Public sector employment, as a share of paid employment, by occupational group: Professionals
Worldwide Bureaucracy Indicators
+8.9%
Public sector employment, as a share of paid employment by location: Rural
Worldwide Bureaucracy Indicators
−21.7%
Public sector employment, as a share of paid employment, by occupational group: Manager
Worldwide Bureaucracy Indicators
+7.1%
Public sector employment, as a share of paid employment, by occupational group: Technicians
Worldwide Bureaucracy Indicators
−21.1%
Public sector employment, as a share of paid employment by location: Urban
Worldwide Bureaucracy Indicators
+2.5%
Public sector employment, as a share of paid employment
Worldwide Bureaucracy Indicators
−7.1%
Education workers, as a share of public total employees
Worldwide Bureaucracy Indicators
+14.7%
Health workers, as a share of public total employees
Worldwide Bureaucracy Indicators
−30%
Number of employed individuals
Worldwide Bureaucracy Indicators
+138.3%
Number of employed employees, by industry: Education
Worldwide Bureaucracy Indicators
+209.1%
Number of employed employees, by industry: Health
Worldwide Bureaucracy Indicators
+140%
Number of employed employees, by occupation: Medical workers
Worldwide Bureaucracy Indicators
–
Number of employed employees, by industry: Public Administration
Worldwide Bureaucracy Indicators
+317%
Number of employed employees, by occupation: Teachers
Worldwide Bureaucracy Indicators
–
Public sector employment, as a share of total employment, by occupational group: Clerks
Worldwide Bureaucracy Indicators
−22.1%
Public sector employment, as a share of total employment, by industry: Education
Worldwide Bureaucracy Indicators
+41.6%
Public sector employment, as a share of total employment, by occupationa group: Elementary workers
Worldwide Bureaucracy Indicators
+151.6%
Public sector employment, as a share of total employment by gender: Female
Worldwide Bureaucracy Indicators
−26.3%
Public sector employment, as a share of total employment, by industry: Health
Worldwide Bureaucracy Indicators
+27.8%
Public sector employment, as a share of total employment by gender: Male
Worldwide Bureaucracy Indicators
+9.3%
Public Administration workers, as a share of public total employees
Worldwide Bureaucracy Indicators
+45.8%
Public sector employment, as a share of total employment, by occupational group: Professionals
Worldwide Bureaucracy Indicators
+20.2%
Public sector employment, as a share of total employment by location: Rural
Worldwide Bureaucracy Indicators
−13.4%
Public sector employment, as a share of total employment, by occupational group: Manager
Worldwide Bureaucracy Indicators
+3.4%
Public sector employment, as a share of total employment, by occupational group: Technicians
Worldwide Bureaucracy Indicators
−10.4%
Proportion of total employees with tertiary education working in public sector
Worldwide Bureaucracy Indicators
−31.5%
Public sector employment, as a share of total employment by location: Urban
Worldwide Bureaucracy Indicators
+7.5%
Public sector employment, as a share of total employment
Worldwide Bureaucracy Indicators
−7.3%
Mean age of public paid employees, by industry: Education
Worldwide Bureaucracy Indicators
−3.6%
Median age of public paid employees, by industry: Health
Worldwide Bureaucracy Indicators
−10.9%
Mean age of public paid employees, by industry: Health
Worldwide Bureaucracy Indicators
−7.8%
Median age of public paid employees
Worldwide Bureaucracy Indicators
−2.6%
Median age of public paid employees, by occupation: Medical workers
Worldwide Bureaucracy Indicators
–
Mean age of public paid employees, by occupation: Medical workers
Worldwide Bureaucracy Indicators
–
Median age of public paid employees, by industry: Public Administration
Worldwide Bureaucracy Indicators
0%
Mean age of public paid employees, by industry: Public Administration
Worldwide Bureaucracy Indicators
−2.4%
Mean age of public paid employees
Worldwide Bureaucracy Indicators
−1.7%
Median age of public paid employees, by occupation: Teachers
Worldwide Bureaucracy Indicators
–
Median age of private paid employees, by industry: Education
Worldwide Bureaucracy Indicators
+3.1%
Mean age of private paid employees, by industry: Education
Worldwide Bureaucracy Indicators
+1%
Median age of private paid employees, by industry: Health
Worldwide Bureaucracy Indicators
+7.1%
Mean age of private paid employees, by industry: Health
Worldwide Bureaucracy Indicators
+7.6%
Median age of private paid employees
Worldwide Bureaucracy Indicators
−3.2%
Median age of private paid employees, by occupation: Medical workers
Worldwide Bureaucracy Indicators
–
Mean age of private paid employees, by occupation: Medical workers
Worldwide Bureaucracy Indicators
–
Mean age of private paid employees
Worldwide Bureaucracy Indicators
−4.8%
Median age of private paid employees, by occupation: Teachers
Worldwide Bureaucracy Indicators
–
Mean age of private paid employees, by occupation: Teachers
Worldwide Bureaucracy Indicators
–
Cross-country public sector pay comparison ratio, by occupation: Government economist (using median)
Worldwide Bureaucracy Indicators
–
Cross-country public sector pay comparison ratio, by occupation: Government economist (using mean)
Worldwide Bureaucracy Indicators
–
Cross-country public sector pay comparison ratio, by occupation: Hospital doctor (using median)
Worldwide Bureaucracy Indicators
–
Cross-country public sector pay comparison ratio, by occupation: Hospital doctor (using mean)
Worldwide Bureaucracy Indicators
–
Cross-country public sector pay comparison ratio, by occupation: Hospital nurse (using median)
Worldwide Bureaucracy Indicators
–
Cross-country public sector pay comparison ratio, by occupation: Hospital nurse (using mean)
Worldwide Bureaucracy Indicators
–
Cross-country public sector pay comparison ratio, by occupation: Judge (using median)
Worldwide Bureaucracy Indicators
–
Cross-country public sector pay comparison ratio, by occupation: Judge (using mean)
Worldwide Bureaucracy Indicators
–
Cross-country public sector pay comparison ratio, by occupation: Primary school teacher (using median)
Worldwide Bureaucracy Indicators
–
Cross-country public sector pay comparison ratio, by occupation: Primary school teacher (using mean)
Worldwide Bureaucracy Indicators
–
Cross-country public sector pay comparison ratio, by occupation: Senior official (using median)
Worldwide Bureaucracy Indicators
–
Cross-country public sector pay comparison ratio, by occupation: Senior official (using mean)
Worldwide Bureaucracy Indicators
–
Cross-country public sector pay comparison ratio, by occupation: Secondary school teacher (using median)
Worldwide Bureaucracy Indicators
–
Cross-country public sector pay comparison ratio, by occupation: Secondary school teacher (using mean)
Worldwide Bureaucracy Indicators
–
Cross-country public sector pay comparison ratio, by occupation: University teacher (using median)
Worldwide Bureaucracy Indicators
–
Cross-country public sector pay comparison ratio, by occupation: University teacher (using mean)
Worldwide Bureaucracy Indicators
–
Females, as a share of private paid employees by occupational group: Clerks
Worldwide Bureaucracy Indicators
−18.7%
Share of private paid employees with a contract
Worldwide Bureaucracy Indicators
+17.6%
Females, as a share of private paid employees by occupational group: Elementary occupation
Worldwide Bureaucracy Indicators
−25.7%
Females, as a share of private paid employees by wage quintile: Quintile 1
Worldwide Bureaucracy Indicators
−38.9%
Females, as a share of private paid employees by wage quintile: Quintile 2
Worldwide Bureaucracy Indicators
−34.2%
Females, as a share of private paid employees by wage quintile: Quintile 3
Worldwide Bureaucracy Indicators
−28.4%
Females, as a share of private paid employees by wage quintile: Quintile 4
Worldwide Bureaucracy Indicators
+34%
Females, as a share of private paid employees by wage quintile: Quintile 5
Worldwide Bureaucracy Indicators
+69.1%
Females, as a share of private paid employees
Worldwide Bureaucracy Indicators
−20.9%
Share of private paid employees with health insurance
Worldwide Bureaucracy Indicators
–
Individuals with no education as a share of private paid employees
Worldwide Bureaucracy Indicators
+13%
Females, as a share of private paid employees by occupational group: Professionals
Worldwide Bureaucracy Indicators
−28.3%
Individuals with primary education as a share of private paid employees
Worldwide Bureaucracy Indicators
+8.8%
Rural residents, as a share of private paid employees
Worldwide Bureaucracy Indicators
+25.1%
Individuals with secondary education as a share of private paid employees
Worldwide Bureaucracy Indicators
−28.6%
Females, as a share of private paid employees by occupational group: Managers
Worldwide Bureaucracy Indicators
−17.7%
Share of private paid employees with social security
Worldwide Bureaucracy Indicators
−15.1%
Females, as a share of private paid employees by occupational group: Technicians
Worldwide Bureaucracy Indicators
+24%
Individuals with tertiary education as a share of private paid employees, by industry: Education
Worldwide Bureaucracy Indicators
−79.5%
Individuals with tertiary education as a share of private paid employees, by industry: Health
Worldwide Bureaucracy Indicators
+3,362%
Individuals with tertiary education as a share of private paid employees
Worldwide Bureaucracy Indicators
+13.6%
Share of private paid employees with union membership
Worldwide Bureaucracy Indicators
+5.2%
Females, as a share of public paid employees by occupational group: Clerks
Worldwide Bureaucracy Indicators
−24.4%
Females, as a share of public paid employees by industry: Education
Worldwide Bureaucracy Indicators
+14.9%
Females, as a share of public paid employees by occupational group: Elementary occupation
Worldwide Bureaucracy Indicators
−8.4%
Females, as a share of public paid employees by wage quintile: Quintile 1
Worldwide Bureaucracy Indicators
+11%
Females, as a share of public paid employees by wage quintile: Quintile 2
Worldwide Bureaucracy Indicators
−4.7%
Females, as a share of public paid employees by wage quintile: Quintile 3
Worldwide Bureaucracy Indicators
−26%
Females, as a share of public paid employees by wage quintile: Quintile 4
Worldwide Bureaucracy Indicators
−16.2%
Females, as a share of public paid employees by wage quintile: Quintile 5
Worldwide Bureaucracy Indicators
−21.6%
Females, as a share of public paid employees
Worldwide Bureaucracy Indicators
−3.5%
Females, as a share of public paid employees by industry: Health
Worldwide Bureaucracy Indicators
+29.2%
Individuals with no education as a share of public paid employees
Worldwide Bureaucracy Indicators
−75.5%
Number of public paid employees
Worldwide Bureaucracy Indicators
+330%
Number of public paid employees, by industry: Education
Worldwide Bureaucracy Indicators
+353.4%
Number of public paid employees, by industry: Health
Worldwide Bureaucracy Indicators
+191.7%
Number of public paid employees, by occupation: Medical workers
Worldwide Bureaucracy Indicators
–
Number of public paid employees, by industry: Public Administration
Worldwide Bureaucracy Indicators
+478.7%
Number of public paid employees, by occupation: Teachers
Worldwide Bureaucracy Indicators
–
Females, as a share of public paid employees by industry: Public Administration
Worldwide Bureaucracy Indicators
+43.7%
Females, as a share of public paid employees by occupational group: Professionals
Worldwide Bureaucracy Indicators
−31.3%
Individuals with primary education as a share of public paid employees
Worldwide Bureaucracy Indicators
+21.2%
Rural residents, as a share of public paid employees, by industry: Education
Worldwide Bureaucracy Indicators
−38.2%
Rural residents, as a share of public paid employees, by industry: Health
Worldwide Bureaucracy Indicators
−21.6%
Rural residents, as a share of public paid employees, by industry: Public Administration
Worldwide Bureaucracy Indicators
−36.3%
Rural residents, as a share of public paid employees
Worldwide Bureaucracy Indicators
+0.5%
Individuals with secondary education as a share of public paid employees
Worldwide Bureaucracy Indicators
−36.2%
Females, as a share of public paid employees by occupational group: Managers
Worldwide Bureaucracy Indicators
−22.2%
Females, as a share of public paid employees by occupational group: Technicians
Worldwide Bureaucracy Indicators
+5.3%
Individuals with tertiary education as a share of public paid employees, by industry: Education
Worldwide Bureaucracy Indicators
–
Individuals with tertiary education as a share of public paid employees, by industry: Health
Worldwide Bureaucracy Indicators
−54.1%
Individuals with tertiary education as a share of public paid employees, by industry: Public Administration
Worldwide Bureaucracy Indicators
+102.2%
Individuals with tertiary education as a share of public paid employees
Worldwide Bureaucracy Indicators
−27%
Number of paid employees
Worldwide Bureaucracy Indicators
+285.3%
Number of paid employees, by industry: Education
Worldwide Bureaucracy Indicators
+307.6%
Number of paid employees, by industry: Health
Worldwide Bureaucracy Indicators
+193.1%
Number of paid employees, by occupation: Medical workers
Worldwide Bureaucracy Indicators
–
Number of paid employees, by industry: Public Administration
Worldwide Bureaucracy Indicators
+422.7%
Number of paid employees, by occupation: Teachers
Worldwide Bureaucracy Indicators
–
Pay compression ratio in public sector, by occupation: Government economist (clerk as reference)
Worldwide Bureaucracy Indicators
–
Pay compression ratio in public sector, by occupation: Hospital doctor (clerk as reference)
Worldwide Bureaucracy Indicators
–
Pay compression ratio in public sector, by occupation: Hospital nurse (clerk as reference)
Worldwide Bureaucracy Indicators
–
Pay compression ratio in public sector, by occupation: Judge (clerk as reference)
Worldwide Bureaucracy Indicators
–
Pay compression ratio in public sector, by occupation: Primary school teacher (clerk as reference)
Worldwide Bureaucracy Indicators
–
Pay compression ratio in public sector, by occupation: Senior officials (clerk as reference)
Worldwide Bureaucracy Indicators
–
Pay compression ratio in public sector, by occupation: Secondary school teacher (clerk as reference)
Worldwide Bureaucracy Indicators
–
Pay compression ratio in public sector, by occupation: University teacher (clerk as reference)
Worldwide Bureaucracy Indicators
–
Pay compression ratio in public sector (ratio of 90th/10th percentile earners)
Worldwide Bureaucracy Indicators
−10.9%
Pay compression ratio in private sector (ratio of 90th/10th percentile earners)
Worldwide Bureaucracy Indicators
−53.3%
Public sector wage premium, by industry: Education (compared to formal wage employees)
Worldwide Bureaucracy Indicators
+113.3%
Public sector wage premium, by industry: Education (compared to all private employees)
Worldwide Bureaucracy Indicators
−62.5%
Public sector wage premium for females, by industry: Education (compared to paid wage employees)
Worldwide Bureaucracy Indicators
−54.7%
Public sector wage premium for females, by industry: Health (compared to paid wage employees)
Worldwide Bureaucracy Indicators
+9.8%
Public sector wage premium for females, by occupation: Medical workers (compared to paid wage employees)
Worldwide Bureaucracy Indicators
–
Public sector wage premium, by industry: Health (compared to formal wage employees)
Worldwide Bureaucracy Indicators
−42.5%
Public sector wage premium, by industry: Health (compared to all private employees)
Worldwide Bureaucracy Indicators
−33.6%
Public sector wage premium for males, by industry: Education (compared to paid wage employees)
Worldwide Bureaucracy Indicators
−72.1%
Public sector wage premium for males, by industry: Health (compared to paid wage employees)
Worldwide Bureaucracy Indicators
+0.2
Public sector wage premium (compared to formal wage employees)
Worldwide Bureaucracy Indicators
−24.4%
Public sector wage premium, by occupational group: Clerks (compared to formal wage employees)
Worldwide Bureaucracy Indicators
−74.3%
P-Value: Public sector wage premium, by education level (compared to formal wage employees)
Worldwide Bureaucracy Indicators
−99.9%
P-Value: Public sector wage premium, by industry: Education (compared to all private employees)
Worldwide Bureaucracy Indicators
−9.5%
P-Value: Public sector wage premium, by industry: Education (compared to formal wage employees)
Worldwide Bureaucracy Indicators
−96.5%
Public sector wage premium, by occupational group: Elementary occupation (compared to formal wage employees)
Worldwide Bureaucracy Indicators
−82.7%
Public sector wage premium, by gender: Female (compared to all private employees)
Worldwide Bureaucracy Indicators
−51.5%
P-Value: Public sector wage premium for females, by industry: Education (compared to paid wage employees)
Worldwide Bureaucracy Indicators
−85%
P-Value: Public sector wage premium for females, by industry: Health (compared to paid wage employees)
Worldwide Bureaucracy Indicators
−95.4%
P-Value: Public sector wage premium for females, by occupation: Medical workers (compared to paid wage employees)
Worldwide Bureaucracy Indicators
–
P-Value: Public sector wage premium (compared to formal wage employees)
Worldwide Bureaucracy Indicators
−99.4%
P-Value: Public sector wage premium, by gender (compared to all private employees)
Worldwide Bureaucracy Indicators
−100%
P-Value: Gender wage premium in the public sector, by industry: Education (compared to male paid employees)
Worldwide Bureaucracy Indicators
−34.2%
P-Value: Gender wage premium in the public sector, by industry: Health (compared to male paid employees)
Worldwide Bureaucracy Indicators
–
P-Value: Gender wage premium in the public sector, by industry: Public Administration (compared to male paid employees)
Worldwide Bureaucracy Indicators
+273.1%
Public sector wage premium (compared to all private employees)
Worldwide Bureaucracy Indicators
−5.8%
P-Value: Public sector wage premium, by industry: Health (compared to all private employees)
Worldwide Bureaucracy Indicators
+144.7%
P-Value: Public sector wage premium, by industry: Health (compared to formal wage employees)
Worldwide Bureaucracy Indicators
+1.9%
Public sector wage premium, by gender: Male (compared to all private employees)
Worldwide Bureaucracy Indicators
+136.6%
P-Value: Public sector wage premium for males, by industry: Education (compared to paid wage employees)
Worldwide Bureaucracy Indicators
+42.7%

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