Government & Institutions Statistics in Cameroon

Explore trusted government & institutions data and trends for Cameroon.

All Government & Institutions datasets for Cameroon (349)

Dataset
Licensing required for exports of alcoholic beverages
WHO
–
Licensing required for imports of alcoholic beverages
WHO
–
Licensing required for wholesale/distribution of alcoholic beverages
WHO
–
Monopoly on exports of alcoholic beverages
WHO
–
SDG Harmonized Global Dataflow
OECD
+11.5%
Proportion of women in ministerial level positions (%)
Gender Statistics
+40%
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
–
Accessed government services/info online in past three months, women (% age 15+)
Gender Statistics
–
Accessed government services/info online in past three months, men (% 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
−2.4%
Birth certification (%)
Identification for Development (ID4D) Data
–
ID ownership, poorest 40% (% age 15+)
Identification for Development (ID4D) Data
−4.4%
ID ownership, richest 60% (% age 15+)
Identification for Development (ID4D) Data
−2.7%
ID ownership, female (% age 15+)
Identification for Development (ID4D) Data
−2.2%
ID ownership, male (% age 15+)
Identification for Development (ID4D) Data
−4.8%
ID ownership, out of the workforce (% age 15+)
Identification for Development (ID4D) Data
−7.1%
ID ownership, primary education or less (% age 15+)
Identification for Development (ID4D) Data
−6.8%
ID ownership, rural (% age 15+)
Identification for Development (ID4D) Data
−8%
ID ownership, secondary education or more (% age 15+)
Identification for Development (ID4D) Data
+0.9%
ID ownership, urban (% age 15+)
Identification for Development (ID4D) Data
+1.5%
ID ownership (% age 15+)
Identification for Development (ID4D) Data
−3.5%
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
−5.9%
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$)
World Development Indicators
−97.5%
Net bilateral aid flows from DAC donors, Austria (current US$)
World Development Indicators
+370.5%
Net bilateral aid flows from DAC donors, Belgium (current US$)
World Development Indicators
+18%
Net bilateral aid flows from DAC donors, European Union institutions (current US$)
World Development Indicators
+11.1%
Net bilateral aid flows from DAC donors, Switzerland (current US$)
World Development Indicators
+6.2%
Net bilateral aid flows from DAC donors, Czechia (current US$)
World Development Indicators
−90.8%
Net bilateral aid flows from DAC donors, Germany (current US$)
World Development Indicators
−10.5%
Net bilateral aid flows from DAC donors, Denmark (current US$)
World Development Indicators
−27.6%
Net bilateral aid flows from DAC donors, Spain (current US$)
World Development Indicators
+65.8%
Net bilateral aid flows from DAC donors, Finland (current US$)
World Development Indicators
−20.5%
Net bilateral aid flows from DAC donors, France (current US$)
World Development Indicators
−36.5%
Net bilateral aid flows from DAC donors, United Kingdom (current US$)
World Development Indicators
−13.1%
Net bilateral aid flows from DAC donors, Greece (current US$)
World Development Indicators
+24.1%
Net bilateral aid flows from DAC donors, Hungary (current US$)
World Development Indicators
−95.8%
Net bilateral aid flows from DAC donors, Ireland (current US$)
World Development Indicators
+43.2%
Net bilateral aid flows from DAC donors, Iceland (current US$)
World Development Indicators
−1.8%
Net bilateral aid flows from DAC donors, Italy (current US$)
World Development Indicators
+15.9%
Net bilateral aid flows from DAC donors, Japan (current US$)
World Development Indicators
+4.7%
Net bilateral aid flows from DAC donors, Korea, Rep. (current US$)
World Development Indicators
−62.4%
Net bilateral aid flows from DAC donors, Lithuania (current US$)
World Development Indicators
−36.7%
Net bilateral aid flows from DAC donors, Luxembourg (current US$)
World Development Indicators
+143.1%
Net bilateral aid flows from DAC donors, Netherlands (current US$)
World Development Indicators
+41.7%
Net bilateral aid flows from DAC donors, Norway (current US$)
World Development Indicators
−28.7%
Net bilateral aid flows from DAC donors, New Zealand (current US$)
World Development Indicators
−11.2%
Net bilateral aid flows from DAC donors, Poland (current US$)
World Development Indicators
+81.3%
Net bilateral aid flows from DAC donors, Portugal (current US$)
World Development Indicators
+77.2%
Net bilateral aid flows from DAC donors, Slovenia (current US$)
World Development Indicators
+200%
Net bilateral aid flows from DAC donors, Sweden (current US$)
World Development Indicators
−16.8%
Net bilateral aid flows from DAC donors, Total (current US$)
World Development Indicators
−14.7%
Net bilateral aid flows from DAC donors, United States (current US$)
World Development Indicators
−0.3%
Net official flows from UN agencies, SDGFUND (current US$)
World Development Indicators
–
Net official flows from UN agencies, SPRP (current US$)
World Development Indicators
−99%
Net official flows from UN agencies, UNAIDS (current US$)
World Development Indicators
+634.4%
Net official flows from UN agencies, UNICEF (current US$)
World Development Indicators
+13.8%
Net official flows from UN agencies, UNHCR (current US$)
World Development Indicators
−62.9%
Net official flows from UN agencies, UNCOVID (current US$)
World Development Indicators
−879,000
Net official flows from UN agencies, UNDP (current US$)
World Development Indicators
−41.4%
Net official flows from UN agencies, UNFPA (current US$)
World Development Indicators
+11.8%
Net official flows from UN agencies, UNIDO (current US$)
World Development Indicators
–
Net official flows from UN agencies, UNPBF (current US$)
World Development Indicators
+11.2%
Net official flows from UN agencies, UNTA (current US$)
World Development Indicators
−50.7%
Net official flows from UN agencies, UNWOMEN (current US$)
World Development Indicators
−14.4%
Net official flows from UN agencies, WFP (current US$)
World Development Indicators
−28.8%
Net official flows from UN agencies, WHO (current US$)
World Development Indicators
+61.6%
Net official development assistance and official aid received (current US$)
World Development Indicators
−20.8%
Net official development assistance and official aid received (constant 2021 US$)
World Development Indicators
−25%
Net official development assistance received (current US$)
World Development Indicators
−20.8%
Net ODA received (% of gross capital formation)
World Development Indicators
−30.2%
Net ODA received (% of GNI)
World Development Indicators
−29.1%
Net official development assistance received (constant 2021 US$)
World Development Indicators
−25%
Net ODA received (% of imports of goods, services and primary income)
World Development Indicators
−23.9%
Net ODA received per capita (current US$)
World Development Indicators
−22.9%
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
0%
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
+2%
Structural Reform Database (SRD)
IMF
0%
Medical workers, as a share of public formal employees
Worldwide Bureaucracy Indicators
−37.5%
Public sector employment, as a share of formal employment, by occupation: Medical workers
Worldwide Bureaucracy Indicators
−46%
Public sector employment, as a share of formal employment, by occupation: Teachers
Worldwide Bureaucracy Indicators
–
Public sector employment, as a share of formal employment
Worldwide Bureaucracy Indicators
+65%
Teachers, as a share of public formal employees
Worldwide Bureaucracy Indicators
–
Public sector female employment, as a share of paid employment by occupational group: Clerks
Worldwide Bureaucracy Indicators
+28.7%
Public sector female employment, as a share of paid employment by occupational group: Elementary workers
Worldwide Bureaucracy Indicators
+164.3%
Public sector female employment, as a share of paid employment by occupational group: Professionals
Worldwide Bureaucracy Indicators
+7.5%
Public sector female employment, as a share of paid employment by occupational group: Manager
Worldwide Bureaucracy Indicators
+15.6%
Public sector female employment, as a share of paid employment by occupational group: Technicians
Worldwide Bureaucracy Indicators
−1.6%
Public sector female employment, as a share of paid employment by occupation: Teachers
Worldwide Bureaucracy Indicators
–
Medical workers, as a share of public paid employees
Worldwide Bureaucracy Indicators
−67.1%
Public sector employment, as a share of paid employment, by occupational group: Clerks
Worldwide Bureaucracy Indicators
+49.1%
Public sector employment, as a share of paid employment, by occupational group: Elementary workers
Worldwide Bureaucracy Indicators
−67.2%
Public sector employment, as a share of paid employment by gender: Female
Worldwide Bureaucracy Indicators
+10.5%
Public sector employment, as a share of paid employment by gender: Male
Worldwide Bureaucracy Indicators
+30.5%
Public sector employment, as a share of paid employment, by occupation: Medical workers
Worldwide Bureaucracy Indicators
–
Public sector employment, as a share of paid employment, by occupational group: Professionals
Worldwide Bureaucracy Indicators
+17.8%
Public sector employment, as a share of paid employment by location: Rural
Worldwide Bureaucracy Indicators
+9.5%
Public sector employment, as a share of paid employment, by occupational group: Manager
Worldwide Bureaucracy Indicators
+4.8%
Public sector employment, as a share of paid employment, by occupational group: Technicians
Worldwide Bureaucracy Indicators
+13.1%
Public sector employment, as a share of paid employment, by occupation: Teachers
Worldwide Bureaucracy Indicators
–
Public sector employment, as a share of paid employment by location: Urban
Worldwide Bureaucracy Indicators
+28.1%
Public sector employment, as a share of paid employment
Worldwide Bureaucracy Indicators
+24.1%
Teachers, as a share of public paid employees
Worldwide Bureaucracy Indicators
–
Medical workers, as a share of public total employees
Worldwide Bureaucracy Indicators
−70.7%
Number of employed individuals
Worldwide Bureaucracy Indicators
−2.4%
Number of employed employees, by occupation: Medical workers
Worldwide Bureaucracy Indicators
+36.8%
Number of employed employees, by occupation: Teachers
Worldwide Bureaucracy Indicators
−64.5%
Public sector employment, as a share of total employment, by occupational group: Clerks
Worldwide Bureaucracy Indicators
+69.1%
Public sector employment, as a share of total employment, by occupationa group: Elementary workers
Worldwide Bureaucracy Indicators
−50%
Public sector employment, as a share of total employment by gender: Female
Worldwide Bureaucracy Indicators
+77.9%
Public sector employment, as a share of total employment by gender: Male
Worldwide Bureaucracy Indicators
+64.5%
Public sector employment, as a share of total employment, by occupation: Medical workers
Worldwide Bureaucracy Indicators
–
Public sector employment, as a share of total employment, by occupational group: Professionals
Worldwide Bureaucracy Indicators
+33.5%
Public sector employment, as a share of total employment by location: Rural
Worldwide Bureaucracy Indicators
+91.8%
Public sector employment, as a share of total employment, by occupational group: Manager
Worldwide Bureaucracy Indicators
−79.9%
Public sector employment, as a share of total employment, by occupational group: Technicians
Worldwide Bureaucracy Indicators
+37%
Public sector employment, as a share of total employment, by occupation: Teachers
Worldwide Bureaucracy Indicators
–
Proportion of total employees with tertiary education working in public sector
Worldwide Bureaucracy Indicators
−19.2%
Public sector employment, as a share of total employment by location: Urban
Worldwide Bureaucracy Indicators
+50.2%
Public sector employment, as a share of total employment
Worldwide Bureaucracy Indicators
+70.2%
Teachers, as a share of public total employees
Worldwide Bureaucracy Indicators
–
Sample size
Worldwide Bureaucracy Indicators
+2.9%
Median age of public paid employees
Worldwide Bureaucracy Indicators
+2.6%
Median age of public paid employees, by occupation: Medical workers
Worldwide Bureaucracy Indicators
−26.4%
Mean age of public paid employees, by occupation: Medical workers
Worldwide Bureaucracy Indicators
−30.8%
Mean age of public paid employees
Worldwide Bureaucracy Indicators
+3.5%
Median age of public paid employees, by occupation: Teachers
Worldwide Bureaucracy Indicators
–
Median age of private paid employees
Worldwide Bureaucracy Indicators
0%
Median age of private paid employees, by occupation: Medical workers
Worldwide Bureaucracy Indicators
−12.5%
Mean age of private paid employees, by occupation: Medical workers
Worldwide Bureaucracy Indicators
+0.9%
Mean age of private paid employees
Worldwide Bureaucracy Indicators
−0.3%
Median age of private paid employees, by occupation: Teachers
Worldwide Bureaucracy Indicators
−22%
Mean age of private paid employees, by occupation: Teachers
Worldwide Bureaucracy Indicators
−13%
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: Police officer (using median)
Worldwide Bureaucracy Indicators
–
Cross-country public sector pay comparison ratio, by occupation: Police officer (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
–
Share of private paid employees with a contract
Worldwide Bureaucracy Indicators
–
Females, as a share of private paid employees by occupational group: Elementary occupation
Worldwide Bureaucracy Indicators
−50.5%
Females, as a share of private paid employees by wage quintile: Quintile 1
Worldwide Bureaucracy Indicators
+41.2%
Females, as a share of private paid employees by wage quintile: Quintile 2
Worldwide Bureaucracy Indicators
+48.6%
Females, as a share of private paid employees by wage quintile: Quintile 3
Worldwide Bureaucracy Indicators
+32.7%
Females, as a share of private paid employees by wage quintile: Quintile 4
Worldwide Bureaucracy Indicators
+22.5%
Females, as a share of private paid employees by wage quintile: Quintile 5
Worldwide Bureaucracy Indicators
−6.6%
Females, as a share of private paid employees
Worldwide Bureaucracy Indicators
+18.2%
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
+6.8%
Females, as a share of private paid employees by occupational group: Professionals
Worldwide Bureaucracy Indicators
+106.4%
Individuals with primary education as a share of private paid employees
Worldwide Bureaucracy Indicators
−63.5%
Rural residents, as a share of private paid employees
Worldwide Bureaucracy Indicators
+16.1%
Individuals with secondary education as a share of private paid employees
Worldwide Bureaucracy Indicators
+0.6%
Females, as a share of private paid employees by occupational group: Managers
Worldwide Bureaucracy Indicators
+0.4%
Share of private paid employees with social security
Worldwide Bureaucracy Indicators
−54.5%
Females, as a share of private paid employees by occupational group: Technicians
Worldwide Bureaucracy Indicators
+20.4%
Individuals with tertiary Education as a share of private paid employees, by occupation: Medical workers
Worldwide Bureaucracy Indicators
−27.3%
Individuals with tertiary Education as a share of private paid employees, by occupation: Teachers
Worldwide Bureaucracy Indicators
−1.1%
Individuals with tertiary education as a share of private paid employees
Worldwide Bureaucracy Indicators
−88%
Females, as a share of public paid employees by occupational group: Clerks
Worldwide Bureaucracy Indicators
−20.8%
Females, as a share of public paid employees by occupational group: Elementary occupation
Worldwide Bureaucracy Indicators
+349.7%
Females, as a share of public paid employees by wage quintile: Quintile 1
Worldwide Bureaucracy Indicators
+8.8%
Females, as a share of public paid employees by wage quintile: Quintile 2
Worldwide Bureaucracy Indicators
−10.2%
Females, as a share of public paid employees by wage quintile: Quintile 3
Worldwide Bureaucracy Indicators
+24.3%
Females, as a share of public paid employees by wage quintile: Quintile 4
Worldwide Bureaucracy Indicators
+28.5%
Females, as a share of public paid employees by wage quintile: Quintile 5
Worldwide Bureaucracy Indicators
+76.2%
Females, as a share of public paid employees
Worldwide Bureaucracy Indicators
+1.9%
Females, as a share of public paid employees by occupation: Medical workers
Worldwide Bureaucracy Indicators
–
Individuals with no education as a share of public paid employees
Worldwide Bureaucracy Indicators
+226.3%
Number of public paid employees
Worldwide Bureaucracy Indicators
+25.8%
Number of public paid employees, by occupation: Medical workers
Worldwide Bureaucracy Indicators
−53.8%
Number of public paid employees, by occupation: Teachers
Worldwide Bureaucracy Indicators
–
Females, as a share of public paid employees by occupational group: Professionals
Worldwide Bureaucracy Indicators
+26%
Individuals with primary education as a share of public paid employees
Worldwide Bureaucracy Indicators
−90.3%
Rural residents, as a share of public paid employees, by occupation: Medical workers
Worldwide Bureaucracy Indicators
–
Rural residents, as a share of public paid employees
Worldwide Bureaucracy Indicators
−0.7%
Individuals with secondary education as a share of public paid employees
Worldwide Bureaucracy Indicators
+508.9%
Females, as a share of public paid employees by occupational group: Managers
Worldwide Bureaucracy Indicators
+31.5%
Share of public paid employees with social security
Worldwide Bureaucracy Indicators
−20.4%
Females, as a share of public paid employees by occupational group: Technicians
Worldwide Bureaucracy Indicators
+13%
Individuals with tertiary Education as a share of public paid employees, by occupation: Medical workers
Worldwide Bureaucracy Indicators
–
Individuals with tertiary education as a share of public paid employees
Worldwide Bureaucracy Indicators
+22.7%
Number of paid employees
Worldwide Bureaucracy Indicators
+12%
Number of paid employees, by occupation: Medical workers
Worldwide Bureaucracy Indicators
+12.5%
Number of paid employees, by occupation: Teachers
Worldwide Bureaucracy Indicators
+300%
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: Police officer (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
+26.7%
Pay compression ratio in private sector (ratio of 90th/10th percentile earners)
Worldwide Bureaucracy Indicators
−25.5%
Public sector wage premium (compared to formal wage employees)
Worldwide Bureaucracy Indicators
+16.6%
Public sector wage premium, by occupational group: Clerks (compared to formal wage employees)
Worldwide Bureaucracy Indicators
+0.4
P-Value: Public sector wage premium, by education level (compared to formal wage employees)
Worldwide Bureaucracy Indicators
+1,072.3%
Public sector wage premium, by occupational group: Elementary occupation (compared to formal wage employees)
Worldwide Bureaucracy Indicators
−0.1
Public sector wage premium, by gender: Female (compared to all private employees)
Worldwide Bureaucracy Indicators
+9.4%
P-Value: Public sector wage premium (compared to formal wage employees)
Worldwide Bureaucracy Indicators
+141,723.6%
P-Value: Public sector wage premium, by gender (compared to all private employees)
Worldwide Bureaucracy Indicators
+30,330,934,567,092,300%
Public sector wage premium (compared to all private employees)
Worldwide Bureaucracy Indicators
−1.9%
Public sector wage premium, by gender: Male (compared to all private employees)
Worldwide Bureaucracy Indicators
−11.1%
Public sector wage premium, by education level: No education (compared to formal wage employees)
Worldwide Bureaucracy Indicators
+0.5
P-Value: Public sector wage premium, by occupation (compared to formal wage employees)
Worldwide Bureaucracy Indicators
+18,912.9%
Public sector wage premium, by occupational group: Professionals (compared to formal wage employees)
Worldwide Bureaucracy Indicators
−61.8%
Public sector wage premium, by education level: Primary education (compared to formal wage employees)
Worldwide Bureaucracy Indicators
−0.8
P-Value: Public sector wage premium (compared to all private employees)
Worldwide Bureaucracy Indicators
0
Public sector wage premium, by education level: Secondary education (compared to formal wage employees)
Worldwide Bureaucracy Indicators
+550.1%
Public sector wage premium, by occupational group: Managers (compared to formal wage employees)
Worldwide Bureaucracy Indicators
+76.2%
Public sector wage premium, by occupational group: Technicians (compared to formal wage employees)
Worldwide Bureaucracy Indicators
−0.8%
Public sector wage premium, by education level: Tertiary education (compared to formal wage employees)
Worldwide Bureaucracy Indicators
+128.3%
Female to male wage ratio in the private sector (using median)
Worldwide Bureaucracy Indicators
−7.9%
Female to male wage ratio in the private sector (using mean)
Worldwide Bureaucracy Indicators
−2.4%
Relative wage of Professionals (using clerk as reference) in private sector
Worldwide Bureaucracy Indicators
−56.2%
Relative wage of Managers (using clerk as reference) in private sector
Worldwide Bureaucracy Indicators
−65.2%
Relative wage of Technicians (using clerk as reference) in private sector
Worldwide Bureaucracy Indicators
−51.8%
Female to male wage ratio in the public sector (using median)
Worldwide Bureaucracy Indicators
−17.1%
Female to male wage ratio in the public sector (using mean)
Worldwide Bureaucracy Indicators
−3.4%
Relative wage of Professionals (using clerk as reference) in public sector
Worldwide Bureaucracy Indicators
−33.8%
Relative wage of Managers (using clerk as reference) in public sector
Worldwide Bureaucracy Indicators
−3.8%
Relative wage of Technicians (using clerk as reference) in public sector
Worldwide Bureaucracy Indicators
−31.8%
Wage bill as a percentage of GDP
Worldwide Bureaucracy Indicators
+0.7%
Wage bill as a percentage of Public Expenditure
Worldwide Bureaucracy Indicators
−4%
ID ownership, in the workforce (% age 15+)
Identification for Development (ID4D) Data
−1.5%
Availability of Mortality rate, under-5 (per 1,000 live births) data meeting quality standards according to UN IGME (5 year moving average)
Statistical Performance Indicators (SPI)
0%
Quality of Debt service data according to World Bank
Statistical Performance Indicators (SPI)
0%
Labor force participation rate by sex and age (%)
Statistical Performance Indicators (SPI)
0
Availability of Comparable Poverty headcount ratio at $2.15 a day (5 year moving average)
Statistical Performance Indicators (SPI)
0
Safely Managed Drinking Water
Statistical Performance Indicators (SPI)
0%
SDDS/e-GDDS subscription
Statistical Performance Indicators (SPI)
0%
Dimension 2.2: Online access - Download Options Score
Statistical Performance Indicators (SPI)
0%
Dimension 2.2: Online access - Machine Readability Score
Statistical Performance Indicators (SPI)
0%
Dimension 2.2: Online access - Metadata Available Score
Statistical Performance Indicators (SPI)
0%
Dimension 2.2: Online access - Non-Proprietary format Score
Statistical Performance Indicators (SPI)
0%
ODIN Open Data Openness score
Statistical Performance Indicators (SPI)
0%
Dimension 2.2: Online access - Terms of Use Score
Statistical Performance Indicators (SPI)
0%
NADA metadata
Statistical Performance Indicators (SPI)
0%
GOAL 1: No Poverty (5 year moving average)
Statistical Performance Indicators (SPI)
+6.7%
GOAL 10: Reduced Inequality (5 year moving average)
Statistical Performance Indicators (SPI)
+9.4%
GOAL 11: Sustainable Cities and Communities (5 year moving average)
Statistical Performance Indicators (SPI)
+14.3%
GOAL 12: Responsible Consumption and Production (5 year moving average)
Statistical Performance Indicators (SPI)
0%
GOAL 13: Climate Action (5 year moving average)
Statistical Performance Indicators (SPI)
−25%
GOAL 15: Life on Land (5 year moving average)
Statistical Performance Indicators (SPI)
+1.8%
GOAL 16: Peace and Justice Strong Institutions (5 year moving average)
Statistical Performance Indicators (SPI)
−4.8%
GOAL 17: Partnerships to achieve the Goal (5 year moving average)
Statistical Performance Indicators (SPI)
+4.1%
GOAL 2: Zero Hunger (5 year moving average)
Statistical Performance Indicators (SPI)
−22.2%
GOAL 3: Good Health and Well-being (5 year moving average)
Statistical Performance Indicators (SPI)
+5.9%
GOAL 4: Quality Education (5 year moving average)
Statistical Performance Indicators (SPI)
0%
GOAL 5: Gender Equality (5 year moving average)
Statistical Performance Indicators (SPI)
−62.5%
GOAL 6: Clean Water and Sanitation (5 year moving average)
Statistical Performance Indicators (SPI)
+14.3%
GOAL 7: Affordable and Clean Energy (5 year moving average)
Statistical Performance Indicators (SPI)
0%

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