Government & Institutions Statistics in Benin

Explore trusted government & institutions data and trends for Benin.

All Government & Institutions datasets for Benin (366)

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
+1
Monopoly on exports of alcoholic beverages
WHO
0
SDG Harmonized Global Dataflow
OECD
−8%
Proportion of women in ministerial level positions (%)
Gender Statistics
0%
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
+1
Digital Data Use (1=yes; 0= no)
Identification for Development (ID4D) Data
–
ID ownership, 25 and older (%)
Identification for Development (ID4D) Data
+44.8%
Birth certification (%)
Identification for Development (ID4D) Data
–
ID ownership, poorest 40% (% age 15+)
Identification for Development (ID4D) Data
+27.3%
ID ownership, richest 60% (% age 15+)
Identification for Development (ID4D) Data
+59.8%
ID ownership, female (% age 15+)
Identification for Development (ID4D) Data
+59.6%
ID ownership, male (% age 15+)
Identification for Development (ID4D) Data
+35.9%
ID ownership, out of the workforce (% age 15+)
Identification for Development (ID4D) Data
+45.9%
ID ownership, primary education or less (% age 15+)
Identification for Development (ID4D) Data
+62.2%
ID ownership, rural (% age 15+)
Identification for Development (ID4D) Data
+59.8%
ID ownership, secondary education or more (% age 15+)
Identification for Development (ID4D) Data
+23.8%
ID ownership, urban (% age 15+)
Identification for Development (ID4D) Data
+38.6%
ID ownership (% age 15+)
Identification for Development (ID4D) Data
+46.8%
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
–
Have online digital ID, total (% of population ages 15+)
Identification for Development (ID4D) Data
–
Have online digital ID, female (% of female population ages 15+)
Identification for Development (ID4D) Data
–
Have online digital ID, urban (% of urban population ages 15+)
Identification for Development (ID4D) Data
–
Have online digital ID, out of the workforce (% of population ages 15+ out of the workforce)
Identification for Development (ID4D) Data
–
Have online digital ID, in the workforce (% of population ages 15+ in the workforce)
Identification for Development (ID4D) Data
–
Have online digital ID, male (% of male population ages 15+)
Identification for Development (ID4D) Data
–
Have online digital ID, ages 15-24 (% of population ages 15-24)
Identification for Development (ID4D) Data
–
Have online digital ID, ages 25+ (% population ages 25+)
Identification for Development (ID4D) Data
–
Have online digital ID, primary (% of population ages 15+ with primary education)
Identification for Development (ID4D) Data
–
Have online digital ID, secondary (% of population ages 15+ with secondary education)
Identification for Development (ID4D) Data
–
Have online digital ID, poorest 40% (% of population ages 15+ in the poorest 40%)
Identification for Development (ID4D) Data
–
Have online digital ID, richest 60% (% of population ages 15+ in the richest 60%)
Identification for Development (ID4D) Data
–
Have online digital ID, rural (% of rural population ages 15+)
Identification for Development (ID4D) Data
–
ID ownership, ages 15-24 (% of population ages 15-24)
Identification for Development (ID4D) Data
+49.7%
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
–
Online digital ID has been used on phone or computer to confirm identity online, total (% of population ages 15+ who own an online digital ID)
Identification for Development (ID4D) Data
–
Online digital ID has been used on phone or computer to confirm identity online, female (% of female population ages 15+ who own an online digital ID)
Identification for Development (ID4D) Data
–
Online digital ID has been used on phone or computer to confirm identity online, urban (% of urban population ages 15+ who own an online digital ID)
Identification for Development (ID4D) Data
–
Online digital ID has been used on phone or computer to confirm identity online, in the workforce (% of population ages 15+ in the workforce who own an online digital ID)
Identification for Development (ID4D) Data
–
Online digital ID has been used on phone or computer to confirm identity online, male (% of male population ages 15+ who own an online digital ID)
Identification for Development (ID4D) Data
–
Online digital ID has been used on phone or computer to confirm identity online, ages 15-24 (% of population ages 15-24 who own an online digital ID)
Identification for Development (ID4D) Data
–
Online digital ID has been used on phone or computer to confirm identity online, ages 25+ (% of population ages 25+ who own an online digital ID)
Identification for Development (ID4D) Data
–
Online digital ID has been used on phone or computer to confirm identity online, primary (% of population ages 15+ with primary education who own an online digital ID)
Identification for Development (ID4D) Data
–
Online digital ID has been used on phone or computer to confirm identity online, secondary (% of population ages 15+ with secondary education who own an online digital ID)
Identification for Development (ID4D) Data
–
Online digital ID has been used on phone or computer to confirm identity online, poorest 40% (% of population ages 15+ in the poorest 40% who own an online digital ID)
Identification for Development (ID4D) Data
–
Online digital ID has been used on phone or computer to confirm identity online, richest 60% (% of population ages 15+ in the richest 60% who own an online digital ID)
Identification for Development (ID4D) Data
–
Online digital ID has been used on phone or computer to confirm identity online, rural (% of rural population ages 15+ who own an online digital ID)
Identification for Development (ID4D) Data
–
Net bilateral aid flows from DAC donors, Australia (current US$)
World Development Indicators
+1,651.6%
Net bilateral aid flows from DAC donors, Austria (current US$)
World Development Indicators
+994.9%
Net bilateral aid flows from DAC donors, Belgium (current US$)
World Development Indicators
+7.1%
Net bilateral aid flows from DAC donors, European Union institutions (current US$)
World Development Indicators
+63.5%
Net bilateral aid flows from DAC donors, Switzerland (current US$)
World Development Indicators
+4.1%
Net bilateral aid flows from DAC donors, Czechia (current US$)
World Development Indicators
−48.1%
Net bilateral aid flows from DAC donors, Germany (current US$)
World Development Indicators
−0.1%
Net bilateral aid flows from DAC donors, Denmark (current US$)
World Development Indicators
−29.6%
Net bilateral aid flows from DAC donors, Spain (current US$)
World Development Indicators
−28.4%
Net bilateral aid flows from DAC donors, Finland (current US$)
World Development Indicators
+8.6%
Net bilateral aid flows from DAC donors, France (current US$)
World Development Indicators
+48.7%
Net bilateral aid flows from DAC donors, United Kingdom (current US$)
World Development Indicators
+69.8%
Net bilateral aid flows from DAC donors, Greece (current US$)
World Development Indicators
−28.6%
Net bilateral aid flows from DAC donors, Hungary (current US$)
World Development Indicators
−37.4%
Net bilateral aid flows from DAC donors, Ireland (current US$)
World Development Indicators
+345.7%
Net bilateral aid flows from DAC donors, Italy (current US$)
World Development Indicators
−45.5%
Net bilateral aid flows from DAC donors, Japan (current US$)
World Development Indicators
+25.9%
Net bilateral aid flows from DAC donors, Korea, Rep. (current US$)
World Development Indicators
+149.8%
Net bilateral aid flows from DAC donors, Luxembourg (current US$)
World Development Indicators
−1.4%
Net bilateral aid flows from DAC donors, Netherlands (current US$)
World Development Indicators
−7.6%
Net bilateral aid flows from DAC donors, Norway (current US$)
World Development Indicators
−93.8%
Net bilateral aid flows from DAC donors, New Zealand (current US$)
World Development Indicators
–
Net bilateral aid flows from DAC donors, Poland (current US$)
World Development Indicators
+57.6%
Net bilateral aid flows from DAC donors, Portugal (current US$)
World Development Indicators
0%
Net bilateral aid flows from DAC donors, Slovak Republic (current US$)
World Development Indicators
−50%
Net bilateral aid flows from DAC donors, Sweden (current US$)
World Development Indicators
+12.1%
Net bilateral aid flows from DAC donors, Total (current US$)
World Development Indicators
+23.7%
Net bilateral aid flows from DAC donors, United States (current US$)
World Development Indicators
+30.2%
Net official flows from UN agencies, SDGFUND (current US$)
World Development Indicators
−40.4%
Net official flows from UN agencies, SPRP (current US$)
World Development Indicators
−14.9%
Net official flows from UN agencies, UNAIDS (current US$)
World Development Indicators
+447%
Net official flows from UN agencies, UNCDF (current US$)
World Development Indicators
−31.1%
Net official flows from UN agencies, UNICEF (current US$)
World Development Indicators
+30%
Net official flows from UN agencies, UNHCR (current US$)
World Development Indicators
+57.7%
Net official flows from UN agencies, UNCOVID (current US$)
World Development Indicators
–
Net official flows from UN agencies, UNDP (current US$)
World Development Indicators
−34.1%
Net official flows from UN agencies, UNFPA (current US$)
World Development Indicators
+13.1%
Net official flows from UN agencies, UNIDO (current US$)
World Development Indicators
−11.7%
Net official flows from UN agencies, UNPBF (current US$)
World Development Indicators
−53.1%
Net official flows from UN agencies, UNTA (current US$)
World Development Indicators
−56%
Net official flows from UN agencies, WFP (current US$)
World Development Indicators
−11.2%
Net official flows from UN agencies, WHO (current US$)
World Development Indicators
+6.4%
Net official flows from UN agencies, WTO-ITC (current US$)
World Development Indicators
−38.1%
Net official development assistance and official aid received (current US$)
World Development Indicators
+22%
Net official development assistance and official aid received (constant 2021 US$)
World Development Indicators
+15.2%
Net official development assistance received (current US$)
World Development Indicators
+22%
Net ODA received (% of gross capital formation)
World Development Indicators
−2.5%
Net ODA received (% of GNI)
World Development Indicators
+8.4%
Net official development assistance received (constant 2021 US$)
World Development Indicators
+15.2%
Net ODA received (% of imports of goods, services and primary income)
World Development Indicators
+4%
Net ODA received per capita (current US$)
World Development Indicators
+18.9%
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
+1.5%
Core Public Administration workers, as a share of public formal employees
Worldwide Bureaucracy Indicators
−26.4%
Education workers, as a share of public formal employees
Worldwide Bureaucracy Indicators
+24.6%
Health workers, as a share of public formal employees
Worldwide Bureaucracy Indicators
+0.5%
Public sector employment, as a share of formal employment, by industry: Education
Worldwide Bureaucracy Indicators
−8.5%
Public sector employment, as a share of formal employment, by industry: Health
Worldwide Bureaucracy Indicators
+8.9%
Public Administration workers, as a share of public formal employees
Worldwide Bureaucracy Indicators
−21.4%
Public Safety workers, as a share of public formal employees
Worldwide Bureaucracy Indicators
−1.5%
Public sector employment, as a share of formal employment
Worldwide Bureaucracy Indicators
−4.9%
Social Security workers, as a share of public formal employees
Worldwide Bureaucracy Indicators
−30.8%
Public sector female employment, as a share of paid employment by industry: Education
Worldwide Bureaucracy Indicators
−10.5%
Public sector female employment, as a share of paid employment by industry: Health
Worldwide Bureaucracy Indicators
+14.7%
Core Public Administration workers, as a share of public paid employees
Worldwide Bureaucracy Indicators
−20%
Education workers, as a share of public paid employees
Worldwide Bureaucracy Indicators
+22.1%
Health workers, as a share of public paid employees
Worldwide Bureaucracy Indicators
+2.2%
Public sector employment, as a share of paid employment, by industry: Education
Worldwide Bureaucracy Indicators
−12.4%
Public sector employment, as a share of paid employment by gender: Female
Worldwide Bureaucracy Indicators
−35%
Public sector employment, as a share of paid employment, by industry: Health
Worldwide Bureaucracy Indicators
+14.8%
Public sector employment, as a share of paid employment by gender: Male
Worldwide Bureaucracy Indicators
−13.5%
Public Administration workers, as a share of public paid employees
Worldwide Bureaucracy Indicators
−17.4%
Public Safety workers, as a share of public paid employees
Worldwide Bureaucracy Indicators
−5.2%
Public sector employment, as a share of paid employment by location: Rural
Worldwide Bureaucracy Indicators
−49.3%
Public sector employment, as a share of paid employment by location: Urban
Worldwide Bureaucracy Indicators
−11%
Public sector employment, as a share of paid employment
Worldwide Bureaucracy Indicators
−19.5%
Social Security workers, as a share of public paid employees
Worldwide Bureaucracy Indicators
−29.6%
Core Public Administration workers, as a share of public total employees
Worldwide Bureaucracy Indicators
−20.1%
Education workers, as a share of public total employees
Worldwide Bureaucracy Indicators
+22%
Health workers, as a share of public total employees
Worldwide Bureaucracy Indicators
+2.1%
Number of employed individuals
Worldwide Bureaucracy Indicators
−27.9%
Number of employed employees, by industry: Core Public Administration
Worldwide Bureaucracy Indicators
−26.7%
Number of employed employees, by industry: Education
Worldwide Bureaucracy Indicators
+32.4%
Number of employed employees, by industry: Health
Worldwide Bureaucracy Indicators
−4.2%
Number of employed employees, by industry: Public Administration
Worldwide Bureaucracy Indicators
−29.9%
Number of employed employees, by industry: Public Safety
Worldwide Bureaucracy Indicators
−8.9%
Number of employed employees, by industry: Social Security
Worldwide Bureaucracy Indicators
−67.5%
Public sector employment, as a share of total employment, by industry: Education
Worldwide Bureaucracy Indicators
−18%
Public sector employment, as a share of total employment by gender: Female
Worldwide Bureaucracy Indicators
−29.6%
Public sector employment, as a share of total employment, by industry: Health
Worldwide Bureaucracy Indicators
+4.5%
Public sector employment, as a share of total employment by gender: Male
Worldwide Bureaucracy Indicators
−8.7%
Public Administration workers, as a share of public total employees
Worldwide Bureaucracy Indicators
−17.5%
Public Safety workers, as a share of total public employees
Worldwide Bureaucracy Indicators
−5.3%
Public sector employment, as a share of total employment by location: Rural
Worldwide Bureaucracy Indicators
−3.5%
Proportion of total employees with tertiary education working in public sector
Worldwide Bureaucracy Indicators
−16.2%
Public sector employment, as a share of total employment by location: Urban
Worldwide Bureaucracy Indicators
−19%
Public sector employment, as a share of total employment
Worldwide Bureaucracy Indicators
−19.6%
Social Security workers, as a share of total public employees
Worldwide Bureaucracy Indicators
−29.7%
Sample size
Worldwide Bureaucracy Indicators
−51.3%
Median age of public paid employees, by industry: Core Public Administration
Worldwide Bureaucracy Indicators
0%
Mean age of public paid employees, by industry: Core Public Administration
Worldwide Bureaucracy Indicators
+0.8%
Median age of public paid employees, by industry: Education
Worldwide Bureaucracy Indicators
+2.9%
Mean age of public paid employees, by industry: Education
Worldwide Bureaucracy Indicators
+1.7%
Median age of public paid employees, by industry: Health
Worldwide Bureaucracy Indicators
+8.3%
Mean age of public paid employees, by industry: Health
Worldwide Bureaucracy Indicators
+1.4%
Median age of public paid employees
Worldwide Bureaucracy Indicators
0%
Median age of public paid employees, by industry: Public Administration
Worldwide Bureaucracy Indicators
−5.3%
Mean age of public paid employees, by industry: Public Administration
Worldwide Bureaucracy Indicators
−2.3%
Median age of public paid employees, by industry: Public Safety
Worldwide Bureaucracy Indicators
0%
Mean age of public paid employees, by industry: Public Safety
Worldwide Bureaucracy Indicators
−9.3%
Mean age of public paid employees
Worldwide Bureaucracy Indicators
+0.5%
Median age of public paid employees, by industry: Social Security
Worldwide Bureaucracy Indicators
−6.7%
Mean age of public paid employees, by industry: Social Security
Worldwide Bureaucracy Indicators
−9.4%
Median age of private paid employees, by industry: Education
Worldwide Bureaucracy Indicators
+3.2%
Mean age of private paid employees, by industry: Education
Worldwide Bureaucracy Indicators
+0.5%
Median age of private paid employees, by industry: Health
Worldwide Bureaucracy Indicators
+3.1%
Mean age of private paid employees, by industry: Health
Worldwide Bureaucracy Indicators
+8.2%
Median age of private paid employees
Worldwide Bureaucracy Indicators
−3%
Mean age of private paid employees
Worldwide Bureaucracy Indicators
−1.8%
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
–
Share of private paid employees with a contract
Worldwide Bureaucracy Indicators
−4.9%
Females, as a share of private paid employees by wage quintile: Quintile 1
Worldwide Bureaucracy Indicators
–
Females, as a share of private paid employees by wage quintile: Quintile 2
Worldwide Bureaucracy Indicators
–
Females, as a share of private paid employees by wage quintile: Quintile 3
Worldwide Bureaucracy Indicators
–
Females, as a share of private paid employees by wage quintile: Quintile 4
Worldwide Bureaucracy Indicators
–
Females, as a share of private paid employees by wage quintile: Quintile 5
Worldwide Bureaucracy Indicators
–
Females, as a share of private paid employees
Worldwide Bureaucracy Indicators
+19%
Share of private paid employees with health insurance
Worldwide Bureaucracy Indicators
−42.8%
Individuals with no education as a share of private paid employees
Worldwide Bureaucracy Indicators
+38.1%
Individuals with primary education as a share of private paid employees
Worldwide Bureaucracy Indicators
−11%
Rural residents, as a share of private paid employees
Worldwide Bureaucracy Indicators
+82.5%
Individuals with secondary education as a share of private paid employees
Worldwide Bureaucracy Indicators
−11.7%
Share of private paid employees with social security
Worldwide Bureaucracy Indicators
−9.8%
Individuals with tertiary education as a share of private paid employees
Worldwide Bureaucracy Indicators
+6.8%
Share of private paid employees with union membership
Worldwide Bureaucracy Indicators
+24.4%
Females, as a share of public paid employees by industry: Core Public Administration
Worldwide Bureaucracy Indicators
−7.6%
Females, as a share of public paid employees by industry: Education
Worldwide Bureaucracy Indicators
−10%
Females, as a share of public paid employees by wage quintile: Quintile 1
Worldwide Bureaucracy Indicators
–
Females, as a share of public paid employees by wage quintile: Quintile 2
Worldwide Bureaucracy Indicators
–
Females, as a share of public paid employees by wage quintile: Quintile 3
Worldwide Bureaucracy Indicators
–
Females, as a share of public paid employees by wage quintile: Quintile 4
Worldwide Bureaucracy Indicators
–
Females, as a share of public paid employees by wage quintile: Quintile 5
Worldwide Bureaucracy Indicators
–
Females, as a share of public paid employees
Worldwide Bureaucracy Indicators
−7.8%
Females, as a share of public paid employees by industry: Health
Worldwide Bureaucracy Indicators
+1.9%
Share of public paid employees with health insurance
Worldwide Bureaucracy Indicators
−18.1%
Individuals with no education as a share of public paid employees
Worldwide Bureaucracy Indicators
+276.8%
Number of public paid employees
Worldwide Bureaucracy Indicators
−49.4%
Number of public paid employees, by industry: Core Public Administration
Worldwide Bureaucracy Indicators
−29.2%
Number of public paid employees, by industry: Education
Worldwide Bureaucracy Indicators
+3.9%
Number of public paid employees, by industry: Health
Worldwide Bureaucracy Indicators
−9.3%
Number of public paid employees, by industry: Public Administration
Worldwide Bureaucracy Indicators
−30.1%
Number of public paid employees, by industry: Public Safety
Worldwide Bureaucracy Indicators
−27%
Number of public paid employees, by industry: Social Security
Worldwide Bureaucracy Indicators
−50%
Females, as a share of public paid employees by industry: Public Administration
Worldwide Bureaucracy Indicators
−6.8%
Individuals with primary education as a share of public paid employees
Worldwide Bureaucracy Indicators
−42.3%
Females, as a share of public paid employees by industry: Public Safety
Worldwide Bureaucracy Indicators
+6.9%
Rural residents, as a share of public paid employees
Worldwide Bureaucracy Indicators
+6.9%
Individuals with secondary education as a share of public paid employees
Worldwide Bureaucracy Indicators
−29.8%
Females, as a share of public paid employees by industry: Social Security
Worldwide Bureaucracy Indicators
–
Share of public paid employees with social security
Worldwide Bureaucracy Indicators
−15.7%
Individuals with tertiary education as a share of public paid employees
Worldwide Bureaucracy Indicators
+38.7%
Share of public paid employees with union membership
Worldwide Bureaucracy Indicators
+18.3%
Number of paid employees
Worldwide Bureaucracy Indicators
−38.9%
Number of paid employees, by industry: Core Public Administration
Worldwide Bureaucracy Indicators
−25.1%
Number of paid employees, by industry: Education
Worldwide Bureaucracy Indicators
+24.9%
Number of paid employees, by industry: Health
Worldwide Bureaucracy Indicators
−12.6%
Number of paid employees, by industry: Public Administration
Worldwide Bureaucracy Indicators
−25.9%
Number of paid employees, by industry: Public Safety
Worldwide Bureaucracy Indicators
−4.8%
Number of paid employees, by industry: Social Security
Worldwide Bureaucracy Indicators
−60%
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
–
Pay compression ratio in private sector (ratio of 90th/10th percentile earners)
Worldwide Bureaucracy Indicators
–
Public sector wage premium, by gender: Female (compared to all private employees)
Worldwide Bureaucracy Indicators
–
P-Value: Public sector wage premium, by gender (compared to all private employees)
Worldwide Bureaucracy Indicators
–
Public sector wage premium (compared to all private employees)
Worldwide Bureaucracy Indicators
–
Public sector wage premium, by gender: Male (compared to all private employees)
Worldwide Bureaucracy Indicators
–
P-Value: Public sector wage premium (compared to all private employees)
Worldwide Bureaucracy Indicators
–
P-Value: Gender wage premium in the private sector, by industry: Education (compared to male paid employees)
Worldwide Bureaucracy Indicators
–
P-Value: Gender wage premium in the private sector, by industry: Health (compared to male paid employees)
Worldwide Bureaucracy Indicators
–
Gender wage premium in the private sector, by industry: Education (compared to male paid employees)
Worldwide Bureaucracy Indicators
–
Female to male wage ratio in the private sector (using median)
Worldwide Bureaucracy Indicators
–
Female to male wage ratio in the private sector (using mean)
Worldwide Bureaucracy Indicators
–
Gender wage premium in the private sector, by industry: Health (compared to male paid employees)
Worldwide Bureaucracy Indicators
–
Female to male wage ratio in the public sector (using median)
Worldwide Bureaucracy Indicators
–
Female to male wage ratio in the public sector (using mean)
Worldwide Bureaucracy Indicators
–
Wage bill as a percentage of GDP
Worldwide Bureaucracy Indicators
+4.8%
Wage bill as a percentage of Public Expenditure
Worldwide Bureaucracy Indicators
+5.3%
ID ownership, in the workforce (% age 15+)
Identification for Development (ID4D) Data
+0.6%
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%

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