Statistical performance score (0–100)
46.83+3.1% vs 2022
Explore trusted government & institutions data and trends for Gabon.
| Dataset | Source | |
|---|---|---|
| Licensing required for exports of alcoholic beverages WHO | WHO | +1 |
| Licensing required for imports of alcoholic beverages WHO | WHO | +1 |
| Licensing required for wholesale/distribution of alcoholic beverages WHO | WHO | 0 |
| Monopoly on exports of alcoholic beverages WHO | WHO | 0 |
| SDG Harmonized Global Dataflow OECD | OECD | +55.7% |
| Proportion of women in ministerial level positions (%) Gender Statistics | Gender Statistics | +21.4% |
| Prefers receiving government news by phone call (% age 15+) Gender Statistics | Gender Statistics | – |
| Prefers receiving government news by phone call, women (% age 15+) Gender Statistics | Gender Statistics | – |
| Prefers receiving government news by phone call, men (% age 15+) Gender Statistics | Gender Statistics | – |
| Accessed government services/info online in past three months (% age 15+) Gender Statistics | Gender Statistics | – |
| Accessed government services/info online in past three months, women (% age 15+) Gender Statistics | Gender Statistics | – |
| Accessed government services/info online in past three months, men (% age 15+) Gender Statistics | Gender Statistics | – |
| Digital ID Verification (1=yes; 0= no) Identification for Development (ID4D) Data | Identification for Development (ID4D) Data | – |
| Online Digital Identity (1=yes; 0= no) Identification for Development (ID4D) Data | Identification for Development (ID4D) Data | 0 |
| Digital Data Use (1=yes; 0= no) Identification for Development (ID4D) Data | Identification for Development (ID4D) Data | – |
| ID ownership, 25 and older (%) Identification for Development (ID4D) Data | Identification for Development (ID4D) Data | +1.3% |
| Birth certification (%) Identification for Development (ID4D) Data | Identification for Development (ID4D) Data | – |
| ID ownership, poorest 40% (% age 15+) Identification for Development (ID4D) Data | Identification for Development (ID4D) Data | +3.1% |
| ID ownership, richest 60% (% age 15+) Identification for Development (ID4D) Data | Identification for Development (ID4D) Data | +10.2% |
| ID ownership, female (% age 15+) Identification for Development (ID4D) Data | Identification for Development (ID4D) Data | +16.9% |
| ID ownership, male (% age 15+) Identification for Development (ID4D) Data | Identification for Development (ID4D) Data | −1.6% |
| ID ownership, out of the workforce (% age 15+) Identification for Development (ID4D) Data | Identification for Development (ID4D) Data | +23.5% |
| ID ownership, primary education or less (% age 15+) Identification for Development (ID4D) Data | Identification for Development (ID4D) Data | +6.1% |
| ID ownership, rural (% age 15+) Identification for Development (ID4D) Data | Identification for Development (ID4D) Data | +22.8% |
| ID ownership, secondary education or more (% age 15+) Identification for Development (ID4D) Data | Identification for Development (ID4D) Data | +8.4% |
| ID ownership, urban (% age 15+) Identification for Development (ID4D) Data | Identification for Development (ID4D) Data | +2.8% |
| ID ownership (% age 15+) Identification for Development (ID4D) Data | Identification for Development (ID4D) Data | +7.3% |
| Challenge: Participating in elections, total (% of population ages 15+ without an ID) Identification for Development (ID4D) Data | Identification for Development (ID4D) Data | – |
| Challenge: Using financial services, total (% of population ages 15+ without an ID) Identification for Development (ID4D) Data | Identification for Development (ID4D) Data | – |
| Challenge: Receiving financial support, total (% of population ages 15+ without an ID) Identification for Development (ID4D) Data | Identification for Development (ID4D) Data | – |
| Challenge: Applying for a job, total (% of population ages 15+ without an ID) Identification for Development (ID4D) Data | Identification for Development (ID4D) Data | – |
| Challenge: Receiving medical care, total (% of population ages 15+ without an ID) Identification for Development (ID4D) Data | Identification for Development (ID4D) Data | – |
| Challenge: Obtaining a SIM card (% of population ages 15+ without an ID) Identification for Development (ID4D) Data | Identification for Development (ID4D) Data | – |
| ID ownership, ages 15-24 (% of population ages 15-24) Identification for Development (ID4D) Data | Identification for Development (ID4D) Data | +22.4% |
| Foundational ID has been used without permission for illegal purposes, total (% of population ages 15+ with an ID) Identification for Development (ID4D) Data | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | Identification for Development (ID4D) Data | – |
| Reason no ID: Too expensive, total (% of population ages 15+ without an ID) Identification for Development (ID4D) Data | Identification for Development (ID4D) Data | – |
| Reason no ID: Travel too far, total (% of population ages 15+ without an ID) Identification for Development (ID4D) Data | Identification for Development (ID4D) Data | – |
| Reason no ID: No documalets, total (% of population ages 15+ without an ID) Identification for Development (ID4D) Data | 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 | Identification for Development (ID4D) Data | – |
| Reason no ID: Have another ID, total (% of population ages 15+ without an ID) Identification for Development (ID4D) Data | Identification for Development (ID4D) Data | – |
| Reason no ID: Uncomfortable sharing info, total (% of population ages 15+ without an ID) Identification for Development (ID4D) Data | Identification for Development (ID4D) Data | – |
| Net bilateral aid flows from DAC donors, Australia (current US$) World Development Indicators | World Development Indicators | −83.4% |
| Net bilateral aid flows from DAC donors, Austria (current US$) World Development Indicators | World Development Indicators | −73.1% |
| Net bilateral aid flows from DAC donors, Belgium (current US$) World Development Indicators | World Development Indicators | +285,000 |
| Net bilateral aid flows from DAC donors, European Union institutions (current US$) World Development Indicators | World Development Indicators | −58.3% |
| Net bilateral aid flows from DAC donors, Switzerland (current US$) World Development Indicators | World Development Indicators | +52.5% |
| Net bilateral aid flows from DAC donors, Czechia (current US$) World Development Indicators | World Development Indicators | +5.4% |
| Net bilateral aid flows from DAC donors, Germany (current US$) World Development Indicators | World Development Indicators | −7.1% |
| Net bilateral aid flows from DAC donors, Spain (current US$) World Development Indicators | World Development Indicators | +265.4% |
| Net bilateral aid flows from DAC donors, Finland (current US$) World Development Indicators | World Development Indicators | −48.4% |
| Net bilateral aid flows from DAC donors, France (current US$) World Development Indicators | World Development Indicators | −68% |
| Net bilateral aid flows from DAC donors, United Kingdom (current US$) World Development Indicators | World Development Indicators | +33.5% |
| Net bilateral aid flows from DAC donors, Greece (current US$) World Development Indicators | World Development Indicators | +197.3% |
| Net bilateral aid flows from DAC donors, Hungary (current US$) World Development Indicators | World Development Indicators | +15.3% |
| Net bilateral aid flows from DAC donors, Ireland (current US$) World Development Indicators | World Development Indicators | +1.9% |
| Net bilateral aid flows from DAC donors, Italy (current US$) World Development Indicators | World Development Indicators | −4.4% |
| Net bilateral aid flows from DAC donors, Japan (current US$) World Development Indicators | World Development Indicators | −40.4% |
| Net bilateral aid flows from DAC donors, Korea, Rep. (current US$) World Development Indicators | World Development Indicators | +77.7% |
| Net bilateral aid flows from DAC donors, Luxembourg (current US$) World Development Indicators | World Development Indicators | – |
| Net bilateral aid flows from DAC donors, Netherlands (current US$) World Development Indicators | World Development Indicators | −96% |
| Net bilateral aid flows from DAC donors, Norway (current US$) World Development Indicators | World Development Indicators | −2.7% |
| Net bilateral aid flows from DAC donors, Poland (current US$) World Development Indicators | World Development Indicators | −5.9% |
| Net bilateral aid flows from DAC donors, Portugal (current US$) World Development Indicators | World Development Indicators | +597.5% |
| Net bilateral aid flows from DAC donors, Sweden (current US$) World Development Indicators | World Development Indicators | +4.9% |
| Net bilateral aid flows from DAC donors, Total (current US$) World Development Indicators | World Development Indicators | −64% |
| Net bilateral aid flows from DAC donors, United States (current US$) World Development Indicators | World Development Indicators | +2,279.2% |
| Net official flows from UN agencies, SDGFUND (current US$) World Development Indicators | World Development Indicators | −88.7% |
| Net official flows from UN agencies, SPRP (current US$) World Development Indicators | World Development Indicators | −61.2% |
| Net official flows from UN agencies, UNAIDS (current US$) World Development Indicators | World Development Indicators | −35.3% |
| Net official flows from UN agencies, UNICEF (current US$) World Development Indicators | World Development Indicators | +3.8% |
| Net official flows from UN agencies, UNHCR (current US$) World Development Indicators | World Development Indicators | +22.7% |
| Net official flows from UN agencies, UNDP (current US$) World Development Indicators | World Development Indicators | +109.6% |
| Net official flows from UN agencies, UNFPA (current US$) World Development Indicators | World Development Indicators | −15.7% |
| Net official flows from UN agencies, UNPBF (current US$) World Development Indicators | World Development Indicators | −40.3% |
| Net official flows from UN agencies, UNTA (current US$) World Development Indicators | World Development Indicators | −68.8% |
| Net official flows from UN agencies, WFP (current US$) World Development Indicators | World Development Indicators | −86.4% |
| Net official flows from UN agencies, WHO (current US$) World Development Indicators | World Development Indicators | −15.8% |
| Net official development assistance and official aid received (current US$) World Development Indicators | World Development Indicators | −60.6% |
| Net official development assistance and official aid received (constant 2021 US$) World Development Indicators | World Development Indicators | −63.4% |
| Net official development assistance received (current US$) World Development Indicators | World Development Indicators | −60.6% |
| Net ODA received (% of gross capital formation) World Development Indicators | World Development Indicators | −63.3% |
| Net ODA received (% of GNI) World Development Indicators | World Development Indicators | −59.2% |
| Net official development assistance received (constant 2021 US$) World Development Indicators | World Development Indicators | −63.4% |
| Net ODA received (% of imports of goods, services and primary income) World Development Indicators | World Development Indicators | +16.1% |
| Net ODA received per capita (current US$) World Development Indicators | World Development Indicators | −61.4% |
| Proportion of seats held by women in national parliaments (%) World Development Indicators | World Development Indicators | +4.2% |
| Government Effectiveness: Standard Error World Development Indicators | World Development Indicators | +2.3% |
| Medical workers, as a share of public paid employees Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Public sector employment, as a share of paid employment by gender: Female Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Public sector employment, as a share of paid employment by gender: Male Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Public sector employment, as a share of paid employment, by occupation: Medical workers Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Public sector employment, as a share of paid employment by location: Rural Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Public sector employment, as a share of paid employment by location: Urban Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Public sector employment, as a share of paid employment Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | +81% |
| Teachers, as a share of public paid employees Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Medical workers, as a share of public total employees Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Number of employed individuals Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | −25.9% |
| Number of employed employees, by occupation: Medical workers Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Number of employed employees, by occupation: Teachers Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Public sector employment, as a share of total employment by gender: Female Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Public sector employment, as a share of total employment by gender: Male Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Public sector employment, as a share of total employment, by occupation: Medical workers Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Public sector employment, as a share of total employment by location: Rural Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Proportion of total employees with tertiary education working in public sector Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | −27.3% |
| Public sector employment, as a share of total employment by location: Urban Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Public sector employment, as a share of total employment Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | +42% |
| Teachers, as a share of public total employees Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Median age of public paid employees Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Mean age of public paid employees Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Median age of private paid employees Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Mean age of private paid employees Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Cross-country public sector pay comparison ratio, by occupation: Government economist (using median) Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Cross-country public sector pay comparison ratio, by occupation: Government economist (using mean) Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Cross-country public sector pay comparison ratio, by occupation: Hospital doctor (using median) Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Cross-country public sector pay comparison ratio, by occupation: Hospital doctor (using mean) Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Cross-country public sector pay comparison ratio, by occupation: Hospital nurse (using median) Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Cross-country public sector pay comparison ratio, by occupation: Hospital nurse (using mean) Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Cross-country public sector pay comparison ratio, by occupation: Judge (using median) Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Cross-country public sector pay comparison ratio, by occupation: Judge (using mean) Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Cross-country public sector pay comparison ratio, by occupation: Police officer (using median) Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Cross-country public sector pay comparison ratio, by occupation: Police officer (using mean) Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Cross-country public sector pay comparison ratio, by occupation: Primary school teacher (using median) Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Cross-country public sector pay comparison ratio, by occupation: Primary school teacher (using mean) Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Cross-country public sector pay comparison ratio, by occupation: Senior official (using median) Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Cross-country public sector pay comparison ratio, by occupation: Senior official (using mean) Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Cross-country public sector pay comparison ratio, by occupation: Secondary school teacher (using median) Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Cross-country public sector pay comparison ratio, by occupation: Secondary school teacher (using mean) Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Cross-country public sector pay comparison ratio, by occupation: University teacher (using median) Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Cross-country public sector pay comparison ratio, by occupation: University teacher (using mean) Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Females, as a share of private paid employees by wage quintile: Quintile 1 Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Females, as a share of private paid employees by wage quintile: Quintile 3 Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Females, as a share of private paid employees by wage quintile: Quintile 4 Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Females, as a share of private paid employees by wage quintile: Quintile 5 Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Females, as a share of private paid employees Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Individuals with no education as a share of private paid employees Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Individuals with primary education as a share of private paid employees Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Rural residents, as a share of private paid employees Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Individuals with secondary education as a share of private paid employees Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Individuals with tertiary Education as a share of private paid employees, by occupation: Medical workers Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Individuals with tertiary Education as a share of private paid employees, by occupation: Teachers Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Individuals with tertiary education as a share of private paid employees Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Females, as a share of public paid employees by wage quintile: Quintile 1 Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Females, as a share of public paid employees by wage quintile: Quintile 2 Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Females, as a share of public paid employees by wage quintile: Quintile 3 Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Females, as a share of public paid employees by wage quintile: Quintile 4 Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Females, as a share of public paid employees by wage quintile: Quintile 5 Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Females, as a share of public paid employees Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Individuals with no education as a share of public paid employees Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Number of public paid employees Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | −2.6% |
| Number of public paid employees, by occupation: Medical workers Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Number of public paid employees, by occupation: Teachers Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Individuals with primary education as a share of public paid employees Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Rural residents, as a share of public paid employees Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Individuals with secondary education as a share of public paid employees Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Individuals with tertiary Education as a share of public paid employees, by occupation: Medical workers Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Individuals with tertiary Education as a share of public paid employees, by occupation: Teachers Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Individuals with tertiary education as a share of public paid employees Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Number of paid employees Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | −45.9% |
| Number of paid employees, by occupation: Medical workers Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Number of paid employees, by occupation: Teachers Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Pay compression ratio in public sector, by occupation: Government economist (clerk as reference) Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Pay compression ratio in public sector, by occupation: Hospital doctor (clerk as reference) Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Pay compression ratio in public sector, by occupation: Hospital nurse (clerk as reference) Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Pay compression ratio in public sector, by occupation: Judge (clerk as reference) Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Pay compression ratio in public sector, by occupation: Police officer (clerk as reference) Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Pay compression ratio in public sector, by occupation: Primary school teacher (clerk as reference) Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Pay compression ratio in public sector, by occupation: Senior officials (clerk as reference) Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Pay compression ratio in public sector, by occupation: Secondary school teacher (clerk as reference) Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Pay compression ratio in public sector, by occupation: University teacher (clerk as reference) Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Pay compression ratio in public sector (ratio of 90th/10th percentile earners) Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Pay compression ratio in private sector (ratio of 90th/10th percentile earners) Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Public sector wage premium, by gender: Female (compared to all private employees) Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| P-Value: Public sector wage premium, by gender (compared to all private employees) Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Public sector wage premium (compared to all private employees) Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Public sector wage premium, by gender: Male (compared to all private employees) Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| P-Value: Public sector wage premium (compared to all private employees) Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Female to male wage ratio in the private sector (using median) Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Female to male wage ratio in the private sector (using mean) Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Female to male wage ratio in the public sector (using median) Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Female to male wage ratio in the public sector (using mean) Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | – |
| Wage bill as a percentage of GDP Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | −18.3% |
| Wage bill as a percentage of Public Expenditure Worldwide Bureaucracy Indicators | Worldwide Bureaucracy Indicators | −10.1% |
| ID ownership, in the workforce (% age 15+) Identification for Development (ID4D) Data | Identification for Development (ID4D) Data | +5.9% |
| 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) | Statistical Performance Indicators (SPI) | 0% |
| Quality of Debt service data according to World Bank Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| Labor force participation rate by sex and age (%) Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0 |
| Availability of Comparable Poverty headcount ratio at $2.15 a day (5 year moving average) Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0 |
| Safely Managed Drinking Water Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| SDDS/e-GDDS subscription Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| Dimension 2.2: Online access - Download Options Score Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| Dimension 2.2: Online access - Machine Readability Score Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| Dimension 2.2: Online access - Metadata Available Score Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| Dimension 2.2: Online access - Non-Proprietary format Score Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| ODIN Open Data Openness score Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| Dimension 2.2: Online access - Terms of Use Score Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| NADA metadata Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0 |
| GOAL 1: No Poverty (5 year moving average) Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | +6.7% |
| GOAL 10: Reduced Inequality (5 year moving average) Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | +7.1% |
| GOAL 11: Sustainable Cities and Communities (5 year moving average) Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | +100% |
| GOAL 12: Responsible Consumption and Production (5 year moving average) Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| GOAL 13: Climate Action (5 year moving average) Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0 |
| GOAL 15: Life on Land (5 year moving average) Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | −8.3% |
| GOAL 16: Peace and Justice Strong Institutions (5 year moving average) Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | +42.8% |
| GOAL 17: Partnerships to achieve the Goal (5 year moving average) Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | +30% |
| GOAL 2: Zero Hunger (5 year moving average) Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | +14.3% |
| GOAL 3: Good Health and Well-being (5 year moving average) Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | +28.6% |
| GOAL 4: Quality Education (5 year moving average) Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | +4.1% |
| GOAL 5: Gender Equality (5 year moving average) Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| GOAL 6: Clean Water and Sanitation (5 year moving average) Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | +14.3% |
| GOAL 7: Affordable and Clean Energy (5 year moving average) Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| GOAL 8: Decent Work and Economic Growth (5 year moving average) Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | −10.1% |
| GOAL 9: Industry, Innovation and Infrastructure (5 year moving average) Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| Population & Housing census (Availability score over 20 years) Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| Agriculture census (Availability score over 20 years) Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| Business/establishment census (Availability score over 20 years) Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| Household Survey on income, etc (Availability score over 10 years) Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| Agriculture survey (Availability score over 10 years) Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0 |
| Labor Force Survey (Availability score over 10 years) Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| Health/Demographic survey (Availability score over 10 years) Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| Business/establishment survey (Availability score over 10 years) Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0 |
| CRVS (WDI) Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0 |
| Geospatial data available at 1st Admin Level Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| Legislation Indicator based on PARIS21 indicators on SDG 17.18.2 Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| System of national accounts in use Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| Business process Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0 |
| National Accounts base year Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0 |
| Classification of national industry Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| CPI base year Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| Classification of household consumption Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| Classification of status of employment Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| Central government accounting status Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0 |
| Compilation of government finance statistics Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0 |
| Compilation of monetary and financial statistics Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| Finance Indicator based on PARIS21 indicators on SDG 17.18.3 & SDG 17.19.1 Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| Dimension 1.5: Data use by international organizations Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| Dimension 2.1: Data Releases Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| Dimension 2.2: Online access Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| Dimension 2.4: Data services Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0 |
| Dimension 3.1: Social Statistics Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | +11.6% |
| Dimension 3.2: Economic Statistics Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | +9.8% |
| Dimension 3.3: Environmental Statistics Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | −8.3% |
| Dimension 3.4: Institutional Statistics Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | +34.8% |
| Dimension 4.1: Censuses and Surveys - Censuses only Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| Dimension 4.1: Censuses and Surveys - Surveys only Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| Dimension 4.2: Administrative Data Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0 |
| Dimension 4.3: Geospatial Data Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| Dimension 5.1: Legislation and governance Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| Dimension 5.2: Standards and Methods Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| Dimension 5.5: Finance Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| SPI Overall Score Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | +3.1% |
| Pillar 1 - Data Use - Score Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| Pillar 2 - Data Services - Score Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| Pillar 3 - Data Products - Score Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | +11.8% |
| Pillar 4 - Data Sources - Score Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
| Pillar 5 - Data Infrastructure - Score Statistical Performance Indicators (SPI) | Statistical Performance Indicators (SPI) | 0% |
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