Government & Institutions Statistics in China

Explore trusted government & institutions data and trends for China.

All Government & Institutions datasets for China (320)

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
0
Main indicators, Government at a glance indicators, 2023 edition
OECD
−15%
SDG Harmonized Global Dataflow
OECD
−9.1%
Proportion of women in ministerial level positions (%)
Gender Statistics
+100%
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
−0.9%
ID ownership, poorest 40% (% age 15+)
Identification for Development (ID4D) Data
0%
ID ownership, richest 60% (% age 15+)
Identification for Development (ID4D) Data
−1.2%
ID ownership, female (% age 15+)
Identification for Development (ID4D) Data
0%
ID ownership, male (% age 15+)
Identification for Development (ID4D) Data
−1.4%
ID ownership, out of the workforce (% age 15+)
Identification for Development (ID4D) Data
–
ID ownership, primary education or less (% age 15+)
Identification for Development (ID4D) Data
−1.2%
ID ownership, rural (% age 15+)
Identification for Development (ID4D) Data
+1.1%
ID ownership, secondary education or more (% age 15+)
Identification for Development (ID4D) Data
−0.2%
ID ownership, urban (% age 15+)
Identification for Development (ID4D) Data
−0.1%
ID ownership (% age 15+)
Identification for Development (ID4D) Data
−0.7%
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, 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
+0.4%
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, 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$)
World Development Indicators
−25.7%
Net bilateral aid flows from DAC donors, Austria (current US$)
World Development Indicators
+28.1%
Net bilateral aid flows from DAC donors, Belgium (current US$)
World Development Indicators
−13.7%
Net bilateral aid flows from DAC donors, European Union institutions (current US$)
World Development Indicators
+24.9%
Net bilateral aid flows from DAC donors, Switzerland (current US$)
World Development Indicators
−33.2%
Net bilateral aid flows from DAC donors, Czechia (current US$)
World Development Indicators
−83.1%
Net bilateral aid flows from DAC donors, Germany (current US$)
World Development Indicators
−47.6%
Net bilateral aid flows from DAC donors, Denmark (current US$)
World Development Indicators
−62.4%
Net bilateral aid flows from DAC donors, Spain (current US$)
World Development Indicators
−0.6%
Net bilateral aid flows from DAC donors, Estonia (current US$)
World Development Indicators
–
Net bilateral aid flows from DAC donors, Finland (current US$)
World Development Indicators
+43.8%
Net bilateral aid flows from DAC donors, France (current US$)
World Development Indicators
−116,000,000
Net bilateral aid flows from DAC donors, United Kingdom (current US$)
World Development Indicators
−52.3%
Net bilateral aid flows from DAC donors, Greece (current US$)
World Development Indicators
−0.7%
Net bilateral aid flows from DAC donors, Hungary (current US$)
World Development Indicators
−28.1%
Net bilateral aid flows from DAC donors, Ireland (current US$)
World Development Indicators
−35.5%
Net bilateral aid flows from DAC donors, Italy (current US$)
World Development Indicators
+73.7%
Net bilateral aid flows from DAC donors, Japan (current US$)
World Development Indicators
+13.9%
Net bilateral aid flows from DAC donors, Korea, Rep. (current US$)
World Development Indicators
−18.4%
Net bilateral aid flows from DAC donors, Lithuania (current US$)
World Development Indicators
−32.2%
Net bilateral aid flows from DAC donors, Luxembourg (current US$)
World Development Indicators
−2.6%
Net bilateral aid flows from DAC donors, Netherlands (current US$)
World Development Indicators
−90.7%
Net bilateral aid flows from DAC donors, Norway (current US$)
World Development Indicators
−49.6%
Net bilateral aid flows from DAC donors, New Zealand (current US$)
World Development Indicators
−71.7%
Net bilateral aid flows from DAC donors, Poland (current US$)
World Development Indicators
+27%
Net bilateral aid flows from DAC donors, Portugal (current US$)
World Development Indicators
−0.8%
Net bilateral aid flows from DAC donors, Slovak Republic (current US$)
World Development Indicators
+4.4%
Net bilateral aid flows from DAC donors, Slovenia (current US$)
World Development Indicators
+55.1%
Net bilateral aid flows from DAC donors, Sweden (current US$)
World Development Indicators
−20%
Net bilateral aid flows from DAC donors, Total (current US$)
World Development Indicators
−60.5%
Net bilateral aid flows from DAC donors, United States (current US$)
World Development Indicators
+40.4%
Net official flows from UN agencies, UNAIDS (current US$)
World Development Indicators
+83.6%
Net official flows from UN agencies, UNICEF (current US$)
World Development Indicators
−85%
Net official flows from UN agencies, UNHCR (current US$)
World Development Indicators
−1%
Net official flows from UN agencies, UNDP (current US$)
World Development Indicators
−4.8%
Net official flows from UN agencies, UNEP (current US$)
World Development Indicators
–
Net official flows from UN agencies, UNFPA (current US$)
World Development Indicators
−4.5%
Net official flows from UN agencies, UNIDO (current US$)
World Development Indicators
+14,587.5%
Net official flows from UN agencies, UNTA (current US$)
World Development Indicators
−72.1%
Net official flows from UN agencies, UNWOMEN (current US$)
World Development Indicators
+23.9%
Net official flows from UN agencies, WFP (current US$)
World Development Indicators
+26.2%
Net official flows from UN agencies, WHO (current US$)
World Development Indicators
+21.3%
Net official development assistance and official aid received (current US$)
World Development Indicators
+4.7%
Net official development assistance and official aid received (constant 2021 US$)
World Development Indicators
−16.1%
Net official development assistance received (current US$)
World Development Indicators
+4.7%
Net ODA received (% of gross capital formation)
World Development Indicators
+1.7%
Net ODA received (% of GNI)
World Development Indicators
+4.5%
Net official development assistance received (constant 2021 US$)
World Development Indicators
−16.1%
Net ODA received (% of imports of goods, services and primary income)
World Development Indicators
+4.5%
Net ODA received per capita (current US$)
World Development Indicators
+4.6%
Proportion of seats held by women in national parliaments (%)
World Development Indicators
0%
Government Effectiveness: Standard Error
World Development Indicators
+4.2%
Structural Reform Database (SRD)
IMF
0%
Climate actions and policies measurement framework
OECD
0%
Medical workers, as a share of public formal employees
Worldwide Bureaucracy Indicators
–
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
+51.9%
Public sector female employment, as a share of paid employment by occupational group: Elementary workers
Worldwide Bureaucracy Indicators
–
Public sector female employment, as a share of paid employment by occupation: Medical workers
Worldwide Bureaucracy Indicators
–
Public sector female employment, as a share of paid employment by occupational group: Professionals
Worldwide Bureaucracy Indicators
−27.7%
Public sector female employment, as a share of paid employment by occupational group: Technicians
Worldwide Bureaucracy Indicators
−59.3%
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
+74%
Public sector employment, as a share of paid employment, by occupational group: Elementary workers
Worldwide Bureaucracy Indicators
–
Public sector employment, as a share of paid employment by gender: Female
Worldwide Bureaucracy Indicators
−38.6%
Public sector employment, as a share of paid employment by gender: Male
Worldwide Bureaucracy Indicators
−45.7%
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
−26.8%
Public sector employment, as a share of paid employment by location: Rural
Worldwide Bureaucracy Indicators
−44.7%
Public sector employment, as a share of paid employment, by occupational group: Technicians
Worldwide Bureaucracy Indicators
−55.9%
Public sector employment, as a share of paid employment by location: Urban
Worldwide Bureaucracy Indicators
−49%
Public sector employment, as a share of paid employment
Worldwide Bureaucracy Indicators
−43.1%
Teachers, as a share of public paid employees
Worldwide Bureaucracy Indicators
–
Medical workers, as a share of public total employees
Worldwide Bureaucracy Indicators
–
Number of employed individuals
Worldwide Bureaucracy Indicators
−6.7%
Number of employed employees, by occupation: Medical workers
Worldwide Bureaucracy Indicators
–
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
+75.9%
Public sector employment, as a share of total employment, by occupationa group: Elementary workers
Worldwide Bureaucracy Indicators
–
Public sector employment, as a share of total employment by gender: Female
Worldwide Bureaucracy Indicators
+11.6%
Public sector employment, as a share of total employment by gender: Male
Worldwide Bureaucracy Indicators
−29.2%
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
−25.7%
Public sector employment, as a share of total employment by location: Rural
Worldwide Bureaucracy Indicators
−15.4%
Public sector employment, as a share of total employment, by occupational group: Technicians
Worldwide Bureaucracy Indicators
+362.9%
Proportion of total employees with tertiary education working in public sector
Worldwide Bureaucracy Indicators
−40.3%
Public sector employment, as a share of total employment by location: Urban
Worldwide Bureaucracy Indicators
−47.4%
Public sector employment, as a share of total employment
Worldwide Bureaucracy Indicators
−14.7%
Teachers, as a share of public total employees
Worldwide Bureaucracy Indicators
–
Sample size
Worldwide Bureaucracy Indicators
−1.3%
Median age of public paid employees
Worldwide Bureaucracy Indicators
−2.4%
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
–
Mean age of public paid employees
Worldwide Bureaucracy Indicators
−1.6%
Median age of public paid employees, by occupation: Teachers
Worldwide Bureaucracy Indicators
–
Mean age of public paid employees, by occupation: Teachers
Worldwide Bureaucracy Indicators
–
Median age of private paid employees
Worldwide Bureaucracy Indicators
+2.9%
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
+2.5%
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: 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: 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
+51.1%
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
+32.1%
Females, as a share of private paid employees by wage quintile: Quintile 3
Worldwide Bureaucracy Indicators
−9.7%
Females, as a share of private paid employees by wage quintile: Quintile 4
Worldwide Bureaucracy Indicators
−25.6%
Females, as a share of private paid employees by wage quintile: Quintile 5
Worldwide Bureaucracy Indicators
−12.4%
Females, as a share of private paid employees
Worldwide Bureaucracy Indicators
+6.6%
Individuals with no education as a share of private paid employees
Worldwide Bureaucracy Indicators
+6.7%
Females, as a share of private paid employees by occupational group: Professionals
Worldwide Bureaucracy Indicators
+41.4%
Individuals with primary education as a share of private paid employees
Worldwide Bureaucracy Indicators
+86.4%
Rural residents, as a share of private paid employees
Worldwide Bureaucracy Indicators
−39.7%
Females, as a share of private paid employees by occupational group: Managers
Worldwide Bureaucracy Indicators
+85.6%
Females, as a share of private paid employees by occupational group: Technicians
Worldwide Bureaucracy Indicators
+63.1%
Individuals with tertiary Education as a share of private paid employees, by occupation: Medical workers
Worldwide Bureaucracy Indicators
–
Individuals with tertiary Education as a share of private paid employees, by occupation: Teachers
Worldwide Bureaucracy Indicators
–
Individuals with tertiary education as a share of private paid employees
Worldwide Bureaucracy Indicators
+230%
Females, as a share of public paid employees by occupational group: Clerks
Worldwide Bureaucracy Indicators
+0.3%
Share of public paid employees with a contract
Worldwide Bureaucracy Indicators
−18.2%
Females, as a share of public paid employees by occupational group: Elementary occupation
Worldwide Bureaucracy Indicators
–
Females, as a share of public paid employees by wage quintile: Quintile 1
Worldwide Bureaucracy Indicators
+40.6%
Females, as a share of public paid employees by wage quintile: Quintile 2
Worldwide Bureaucracy Indicators
+0.4%
Females, as a share of public paid employees by wage quintile: Quintile 3
Worldwide Bureaucracy Indicators
+24.1%
Females, as a share of public paid employees by wage quintile: Quintile 4
Worldwide Bureaucracy Indicators
+19%
Females, as a share of public paid employees by wage quintile: Quintile 5
Worldwide Bureaucracy Indicators
+14.2%
Females, as a share of public paid employees
Worldwide Bureaucracy Indicators
+20.1%
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
+18.2%
Number of public paid employees
Worldwide Bureaucracy Indicators
−29%
Number of public paid employees, by occupation: Medical workers
Worldwide Bureaucracy Indicators
–
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
+50.1%
Individuals with primary education as a share of public paid employees
Worldwide Bureaucracy Indicators
−15.6%
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, by industry: Teachers
Worldwide Bureaucracy Indicators
–
Rural residents, as a share of public paid employees
Worldwide Bureaucracy Indicators
−31.2%
Individuals with secondary education as a share of public paid employees
Worldwide Bureaucracy Indicators
−69.9%
Females, as a share of public paid employees by occupational group: Managers
Worldwide Bureaucracy Indicators
+77.1%
Females, as a share of public paid employees by occupational group: Technicians
Worldwide Bureaucracy Indicators
+42.9%
Females, as a share of public paid employees by industry: Teachers
Worldwide Bureaucracy Indicators
–
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, by occupation: Teachers
Worldwide Bureaucracy Indicators
–
Number of paid employees
Worldwide Bureaucracy Indicators
−0.6%
Number of paid employees, by occupation: Medical workers
Worldwide Bureaucracy Indicators
–
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: 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: 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
−23.2%
Pay compression ratio in private sector (ratio of 90th/10th percentile earners)
Worldwide Bureaucracy Indicators
−66.2%
Public sector wage premium (compared to formal wage employees)
Worldwide Bureaucracy Indicators
−0.1
Public sector wage premium, by occupational group: Clerks (compared to formal wage employees)
Worldwide Bureaucracy Indicators
−0.1
P-Value: Public sector wage premium, by education level (compared to formal wage employees)
Worldwide Bureaucracy Indicators
−7.8%
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
−0.2
P-Value: Public sector wage premium (compared to formal wage employees)
Worldwide Bureaucracy Indicators
+75,678.3%
P-Value: Public sector wage premium, by gender (compared to all private employees)
Worldwide Bureaucracy Indicators
+0.2
Public sector wage premium (compared to all private employees)
Worldwide Bureaucracy Indicators
−0.3
Public sector wage premium, by gender: Male (compared to all private employees)
Worldwide Bureaucracy Indicators
−0.4
Public sector wage premium, by education level: No education (compared to formal wage employees)
Worldwide Bureaucracy Indicators
−85.3%
P-Value: Public sector wage premium, by occupation (compared to formal wage employees)
Worldwide Bureaucracy Indicators
−99.6%
Public sector wage premium, by occupational group: Professionals (compared to formal wage employees)
Worldwide Bureaucracy Indicators
−1,046.2%
Public sector wage premium, by education level: Primary education (compared to formal wage employees)
Worldwide Bureaucracy Indicators
−0.2
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
−79.7%
Public sector wage premium, by occupational group: Managers (compared to formal wage employees)
Worldwide Bureaucracy Indicators
−0.1
Public sector wage premium, by occupational group: Technicians (compared to formal wage employees)
Worldwide Bureaucracy Indicators
+57.1%
Public sector wage premium, by education level: Tertiary education (compared to formal wage employees)
Worldwide Bureaucracy Indicators
−0.1
Female to male wage ratio in the private sector (using median)
Worldwide Bureaucracy Indicators
−24.3%
Female to male wage ratio in the private sector (using mean)
Worldwide Bureaucracy Indicators
−13.2%
Relative wage of Professionals (using clerk as reference) in private sector
Worldwide Bureaucracy Indicators
−33.2%
Relative wage of Managers (using clerk as reference) in private sector
Worldwide Bureaucracy Indicators
−63.4%
Relative wage of Technicians (using clerk as reference) in private sector
Worldwide Bureaucracy Indicators
−2%
Female to male wage ratio in the public sector (using median)
Worldwide Bureaucracy Indicators
+0.4%
Female to male wage ratio in the public sector (using mean)
Worldwide Bureaucracy Indicators
−5.5%
Relative wage of Professionals (using clerk as reference) in public sector
Worldwide Bureaucracy Indicators
+7.4%
Relative wage of Managers (using clerk as reference) in public sector
Worldwide Bureaucracy Indicators
−13%
Relative wage of Technicians (using clerk as reference) in public sector
Worldwide Bureaucracy Indicators
+37.6%
Trust, Satisfaction with public services and governance of the policy cycle, 2023 edition
OECD
0%
ID ownership, in the workforce (% age 15+)
Identification for Development (ID4D) Data
–
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)
+14.3%
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)
+60%
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)
+14.2%
GOAL 17: Partnerships to achieve the Goal (5 year moving average)
Statistical Performance Indicators (SPI)
+4.9%
GOAL 2: Zero Hunger (5 year moving average)
Statistical Performance Indicators (SPI)
0%
GOAL 3: Good Health and Well-being (5 year moving average)
Statistical Performance Indicators (SPI)
+13.3%
GOAL 4: Quality Education (5 year moving average)
Statistical Performance Indicators (SPI)
+11.2%
GOAL 5: Gender Equality (5 year moving average)
Statistical Performance Indicators (SPI)
+50.2%
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%
GOAL 8: Decent Work and Economic Growth (5 year moving average)
Statistical Performance Indicators (SPI)
−3.6%
GOAL 9: Industry, Innovation and Infrastructure (5 year moving average)
Statistical Performance Indicators (SPI)
+12.5%
Population & Housing census (Availability score over 20 years)
Statistical Performance Indicators (SPI)
0%
Agriculture census (Availability score over 20 years)
Statistical Performance Indicators (SPI)
0%
Business/establishment census (Availability score over 20 years)
Statistical Performance Indicators (SPI)
0%
Household Survey on income, etc (Availability score over 10 years)
Statistical Performance Indicators (SPI)
0%
Agriculture survey (Availability score over 10 years)
Statistical Performance Indicators (SPI)
0%
Labor Force Survey (Availability score over 10 years)
Statistical Performance Indicators (SPI)
0%
Health/Demographic survey (Availability score over 10 years)
Statistical Performance Indicators (SPI)
0
Business/establishment survey (Availability score over 10 years)
Statistical Performance Indicators (SPI)
0
CRVS (WDI)
Statistical Performance Indicators (SPI)
0
Geospatial data available at 1st Admin Level
Statistical Performance Indicators (SPI)
0%
Legislation Indicator based on PARIS21 indicators on SDG 17.18.2
Statistical Performance Indicators (SPI)
0%
System of national accounts in use
Statistical Performance Indicators (SPI)
0%
Business process
Statistical Performance Indicators (SPI)
0%
National Accounts base year
Statistical Performance Indicators (SPI)
0%
Classification of national industry
Statistical Performance Indicators (SPI)
0%
CPI base year
Statistical Performance Indicators (SPI)
0%
Classification of household consumption
Statistical Performance Indicators (SPI)
0
Classification of status of employment
Statistical Performance Indicators (SPI)
+1
Central government accounting status
Statistical Performance Indicators (SPI)
0%
Compilation of government finance statistics
Statistical Performance Indicators (SPI)
0%
Compilation of monetary and financial statistics
Statistical Performance Indicators (SPI)
0
Finance Indicator based on PARIS21 indicators on SDG 17.18.3 & SDG 17.19.1
Statistical Performance Indicators (SPI)
0%
Dimension 1.5: Data use by international organizations
Statistical Performance Indicators (SPI)
0%
Dimension 2.1: Data Releases
Statistical Performance Indicators (SPI)
0%
Dimension 2.2: Online access
Statistical Performance Indicators (SPI)
0%
Dimension 2.4: Data services
Statistical Performance Indicators (SPI)
0
Dimension 3.1: Social Statistics
Statistical Performance Indicators (SPI)
+7.2%
Dimension 3.2: Economic Statistics
Statistical Performance Indicators (SPI)
+10.8%

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