Government & Institutions Statistics in Montenegro

Explore trusted government & institutions data and trends for Montenegro.

All Government & Institutions datasets for Montenegro (264)

Dataset
Proportion of women in ministerial level positions (%)
Gender Statistics
+16.7%
Net bilateral aid flows from DAC donors, Australia (current US$)
World Development Indicators
+3.7%
Net bilateral aid flows from DAC donors, Austria (current US$)
World Development Indicators
+132.6%
Net bilateral aid flows from DAC donors, Belgium (current US$)
World Development Indicators
−79.2%
Net bilateral aid flows from DAC donors, Canada (current US$)
World Development Indicators
+11%
Net bilateral aid flows from DAC donors, European Union institutions (current US$)
World Development Indicators
+71,800,000
Net bilateral aid flows from DAC donors, Switzerland (current US$)
World Development Indicators
+927.3%
Net bilateral aid flows from DAC donors, Czechia (current US$)
World Development Indicators
−56.3%
Net bilateral aid flows from DAC donors, Germany (current US$)
World Development Indicators
+148.8%
Net bilateral aid flows from DAC donors, Denmark (current US$)
World Development Indicators
−99%
Net bilateral aid flows from DAC donors, Spain (current US$)
World Development Indicators
−0.3%
Net bilateral aid flows from DAC donors, Estonia (current US$)
World Development Indicators
−76.4%
Net bilateral aid flows from DAC donors, Finland (current US$)
World Development Indicators
−98.1%
Net bilateral aid flows from DAC donors, France (current US$)
World Development Indicators
−98.5%
Net bilateral aid flows from DAC donors, United Kingdom (current US$)
World Development Indicators
+213.9%
Net bilateral aid flows from DAC donors, Greece (current US$)
World Development Indicators
−14.5%
Net bilateral aid flows from DAC donors, Hungary (current US$)
World Development Indicators
−48.2%
Net bilateral aid flows from DAC donors, Ireland (current US$)
World Development Indicators
+15.3%
Net bilateral aid flows from DAC donors, Italy (current US$)
World Development Indicators
+745.1%
Net bilateral aid flows from DAC donors, Japan (current US$)
World Development Indicators
+100.8%
Net bilateral aid flows from DAC donors, Korea, Rep. (current US$)
World Development Indicators
+363.9%
Net bilateral aid flows from DAC donors, Lithuania (current US$)
World Development Indicators
+1,256%
Net bilateral aid flows from DAC donors, Luxembourg (current US$)
World Development Indicators
+224.8%
Net bilateral aid flows from DAC donors, Netherlands (current US$)
World Development Indicators
+326.4%
Net bilateral aid flows from DAC donors, Norway (current US$)
World Development Indicators
+33.2%
Net bilateral aid flows from DAC donors, Poland (current US$)
World Development Indicators
−3.9%
Net bilateral aid flows from DAC donors, Portugal (current US$)
World Development Indicators
−87.8%
Net bilateral aid flows from DAC donors, Slovak Republic (current US$)
World Development Indicators
−62.5%
Net bilateral aid flows from DAC donors, Slovenia (current US$)
World Development Indicators
+11.6%
Net bilateral aid flows from DAC donors, Sweden (current US$)
World Development Indicators
−33.6%
Net bilateral aid flows from DAC donors, Total (current US$)
World Development Indicators
+628.9%
Net bilateral aid flows from DAC donors, United States (current US$)
World Development Indicators
+83.4%
Net official flows from UN agencies, SDGFUND (current US$)
World Development Indicators
–
Net official flows from UN agencies, SPRP (current US$)
World Development Indicators
–
Net official flows from UN agencies, UNAIDS (current US$)
World Development Indicators
−20%
Net official flows from UN agencies, UNICEF (current US$)
World Development Indicators
+43.8%
Net official flows from UN agencies, UNHCR (current US$)
World Development Indicators
+0.6%
Net official flows from UN agencies, UNDP (current US$)
World Development Indicators
−14.7%
Net official flows from UN agencies, UNFPA (current US$)
World Development Indicators
–
Net official flows from UN agencies, UNIDO (current US$)
World Development Indicators
−18%
Net official flows from UN agencies, UNPBF (current US$)
World Development Indicators
−290,000
Net official flows from UN agencies, UNTA (current US$)
World Development Indicators
+825%
Net official flows from UN agencies, UNWTO (current US$)
World Development Indicators
–
Net official flows from UN agencies, WHO (current US$)
World Development Indicators
−2.6%
Net official development assistance and official aid received (current US$)
World Development Indicators
−10.9%
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
−10.9%
Net ODA received (% of gross capital formation)
World Development Indicators
−20.9%
Net ODA received (% of GNI)
World Development Indicators
−26.3%
Net official development assistance received (constant 2021 US$)
World Development Indicators
−15.2%
Net ODA received (% of imports of goods, services and primary income)
World Development Indicators
−21.6%
Net ODA received per capita (current US$)
World Development Indicators
−10.9%
Proportion of seats held by women in national parliaments (%)
World Development Indicators
0%
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
+1.2%
Birth certification (%)
Identification for Development (ID4D) Data
–
ID ownership, poorest 40% (% age 15+)
Identification for Development (ID4D) Data
−0.1%
ID ownership, richest 60% (% age 15+)
Identification for Development (ID4D) Data
+1%
ID ownership, female (% age 15+)
Identification for Development (ID4D) Data
−2.5%
ID ownership, male (% age 15+)
Identification for Development (ID4D) Data
+4%
ID ownership, out of the workforce (% age 15+)
Identification for Development (ID4D) Data
−1.7%
ID ownership, primary education or less (% age 15+)
Identification for Development (ID4D) Data
+1.9%
ID ownership, rural (% age 15+)
Identification for Development (ID4D) Data
−2%
ID ownership, secondary education or more (% age 15+)
Identification for Development (ID4D) Data
+1.2%
ID ownership, urban (% age 15+)
Identification for Development (ID4D) Data
+4.2%
ID ownership, in the workforce (% age 15+)
Identification for Development (ID4D) Data
+2.2%
ID ownership (% age 15+)
Identification for Development (ID4D) Data
+0.6%
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
−3.8%
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, 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, primary (% of population ages 15+ with primary education and 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, out of the workforce (% of population ages 15+ out of 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, 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
–
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
SDG Harmonized Global Dataflow
OECD
+636.9%
Asylum applications by state of procedure
Eurostat
+12.5%
Corruption Perceptions Index
Eurostat
0%
Seats held by women in national parliaments and governments
Eurostat
+15.2%
Government Effectiveness: Standard Error
World Development Indicators
+2.4%
Education workers, as a share of public formal employees
Worldwide Bureaucracy Indicators
+36.8%
Health workers, as a share of public formal employees
Worldwide Bureaucracy Indicators
−15.4%
Medical workers, as a share of public formal employees
Worldwide Bureaucracy Indicators
−29.8%
Public sector employment, as a share of formal employment, by industry: Education
Worldwide Bureaucracy Indicators
+24.1%
Public sector employment, as a share of formal employment, by industry: Health
Worldwide Bureaucracy Indicators
+5.3%
Public sector employment, as a share of formal employment, by occupation: Medical workers
Worldwide Bureaucracy Indicators
−14.6%
Public Administration workers, as a share of public formal employees
Worldwide Bureaucracy Indicators
−9.7%
Public sector employment, as a share of formal employment, by occupation: Teachers
Worldwide Bureaucracy Indicators
+44.7%
Public sector employment, as a share of formal employment
Worldwide Bureaucracy Indicators
+10.9%
Teachers, as a share of public formal employees
Worldwide Bureaucracy Indicators
+141.8%
Education workers, as a share of public paid employees
Worldwide Bureaucracy Indicators
+68.3%
Health workers, as a share of public paid employees
Worldwide Bureaucracy Indicators
−15.7%
Medical workers, as a share of public paid employees
Worldwide Bureaucracy Indicators
−30.1%
Public Administration workers, as a share of public paid employees
Worldwide Bureaucracy Indicators
−9.5%
Public sector employment, as a share of paid employment, by occupation: Teachers
Worldwide Bureaucracy Indicators
–
Public sector employment, as a share of paid employment
Worldwide Bureaucracy Indicators
+10.8%
Teachers, as a share of public paid employees
Worldwide Bureaucracy Indicators
+47.8%
Education workers, as a share of public total employees
Worldwide Bureaucracy Indicators
+68.7%
Health workers, as a share of public total employees
Worldwide Bureaucracy Indicators
−15.7%
Medical workers, as a share of public total employees
Worldwide Bureaucracy Indicators
−30.1%
Number of employed individuals
Worldwide Bureaucracy Indicators
−15.7%
Number of employed employees, by industry: Core Public Administration
Worldwide Bureaucracy Indicators
–
Number of employed employees, by industry: Education
Worldwide Bureaucracy Indicators
+14.8%
Number of employed employees, by industry: Health
Worldwide Bureaucracy Indicators
−15.8%
Number of employed employees, by occupation: Medical workers
Worldwide Bureaucracy Indicators
−8.1%
Number of employed employees, by industry: Public Administration
Worldwide Bureaucracy Indicators
−18%
Number of employed employees, by industry: Public Safety
Worldwide Bureaucracy Indicators
–
Number of employed employees, by industry: Social Security
Worldwide Bureaucracy Indicators
–
Number of employed employees, by occupation: Teachers
Worldwide Bureaucracy Indicators
+73.7%
Public Administration workers, as a share of public total employees
Worldwide Bureaucracy Indicators
−9.5%
Public sector employment, as a share of total employment, by occupation: Teachers
Worldwide Bureaucracy Indicators
–
Proportion of total employees with tertiary education working in public sector
Worldwide Bureaucracy Indicators
–
Public sector employment, as a share of total employment
Worldwide Bureaucracy Indicators
+22.9%
Teachers, as a share of public total employees
Worldwide Bureaucracy Indicators
+48.2%
Cross-country public sector pay comparison ratio, by occupation: Hospital doctor (using median)
Worldwide Bureaucracy Indicators
–
Cross-country public sector pay comparison ratio, by occupation: Hospital doctor (using mean)
Worldwide Bureaucracy Indicators
–
Cross-country public sector pay comparison ratio, by occupation: Hospital nurse (using median)
Worldwide Bureaucracy Indicators
–
Cross-country public sector pay comparison ratio, by occupation: Hospital nurse (using mean)
Worldwide Bureaucracy Indicators
–
Cross-country public sector pay comparison ratio, by occupation: Judge (using median)
Worldwide Bureaucracy Indicators
–
Cross-country public sector pay comparison ratio, by occupation: Judge (using mean)
Worldwide Bureaucracy Indicators
–
Cross-country public sector pay comparison ratio, by occupation: Police officer (using median)
Worldwide Bureaucracy Indicators
–
Cross-country public sector pay comparison ratio, by occupation: Police officer (using mean)
Worldwide Bureaucracy Indicators
–
Cross-country public sector pay comparison ratio, by occupation: Primary school teacher (using median)
Worldwide Bureaucracy Indicators
–
Cross-country public sector pay comparison ratio, by occupation: Primary school teacher (using mean)
Worldwide Bureaucracy Indicators
–
Cross-country public sector pay comparison ratio, by occupation: 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
−0.4%
Individuals with tertiary education as a share of private paid employees, by industry: Education
Worldwide Bureaucracy Indicators
−3.1%
Individuals with tertiary Education as a share of private paid employees, by occupation: Medical workers
Worldwide Bureaucracy Indicators
−11.9%
Individuals with tertiary Education as a share of private paid employees, by occupation: Teachers
Worldwide Bureaucracy Indicators
−2.6%
Share of public paid employees with a contract
Worldwide Bureaucracy Indicators
−0.4%
Number of public paid employees
Worldwide Bureaucracy Indicators
+3.5%
Number of public paid employees, by industry: Core Public Administration
Worldwide Bureaucracy Indicators
–
Number of public paid employees, by industry: Education
Worldwide Bureaucracy Indicators
+41.1%
Number of public paid employees, by industry: Health
Worldwide Bureaucracy Indicators
−12.7%
Number of public paid employees, by occupation: Medical workers
Worldwide Bureaucracy Indicators
−27.6%
Number of public paid employees, by industry: Public Administration
Worldwide Bureaucracy Indicators
−6.3%
Number of public paid employees, by industry: Public Safety
Worldwide Bureaucracy Indicators
–
Number of public paid employees, by industry: Social Security
Worldwide Bureaucracy Indicators
–
Number of public paid employees, by occupation: Teachers
Worldwide Bureaucracy Indicators
+149.4%
Individuals with tertiary education as a share of public paid employees, by industry: Education
Worldwide Bureaucracy Indicators
−2.6%
Individuals with tertiary education as a share of public paid employees, by industry: Health
Worldwide Bureaucracy Indicators
−9.8%
Individuals with tertiary Education as a share of public paid employees, by occupation: Medical workers
Worldwide Bureaucracy Indicators
+2.3%
Individuals with tertiary education as a share of public paid employees, by industry: Public Administration
Worldwide Bureaucracy Indicators
−5.7%
Individuals with tertiary Education as a share of public paid employees, by occupation: Teachers
Worldwide Bureaucracy Indicators
−0.4%
Number of paid employees
Worldwide Bureaucracy Indicators
−6.5%
Number of paid employees, by industry: Core Public Administration
Worldwide Bureaucracy Indicators
–
Number of paid employees, by industry: Education
Worldwide Bureaucracy Indicators
+13.9%
Number of paid employees, by industry: Health
Worldwide Bureaucracy Indicators
−17.1%
Number of paid employees, by occupation: Medical workers
Worldwide Bureaucracy Indicators
−15.2%
Number of paid employees, by industry: Public Administration
Worldwide Bureaucracy Indicators
−18.2%
Number of paid employees, by industry: Social Security
Worldwide Bureaucracy Indicators
–
Number of paid employees, by occupation: Teachers
Worldwide Bureaucracy Indicators
+72.8%
Pay compression ratio in public sector, by occupation: Hospital doctor (clerk as reference)
Worldwide Bureaucracy Indicators
–
Pay compression ratio in public sector, by occupation: Hospital nurse (clerk as reference)
Worldwide Bureaucracy Indicators
–
Pay compression ratio in public sector, by occupation: Judge (clerk as reference)
Worldwide Bureaucracy Indicators
–
Pay compression ratio in public sector, by occupation: Police officer (clerk as reference)
Worldwide Bureaucracy Indicators
–
Pay compression ratio in public sector, by occupation: Primary school teacher (clerk as reference)
Worldwide Bureaucracy Indicators
–
Pay compression ratio in public sector, by occupation: 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
–
Wage bill as a percentage of GDP
Worldwide Bureaucracy Indicators
−10.1%
Wage bill as a percentage of Public Expenditure
Worldwide Bureaucracy Indicators
−6.7%
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)
−20%
GOAL 10: Reduced Inequality (5 year moving average)
Statistical Performance Indicators (SPI)
−10.7%
GOAL 11: Sustainable Cities and Communities (5 year moving average)
Statistical Performance Indicators (SPI)
−14.3%
GOAL 12: Responsible Consumption and Production (5 year moving average)
Statistical Performance Indicators (SPI)
0%
GOAL 13: Climate Action (5 year moving average)
Statistical Performance Indicators (SPI)
−0.7
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)
+22.4%
GOAL 17: Partnerships to achieve the Goal (5 year moving average)
Statistical Performance Indicators (SPI)
+20%
GOAL 2: Zero Hunger (5 year moving average)
Statistical Performance Indicators (SPI)
−22.2%
GOAL 3: Good Health and Well-being (5 year moving average)
Statistical Performance Indicators (SPI)
−4.8%
GOAL 4: Quality Education (5 year moving average)
Statistical Performance Indicators (SPI)
+25%
GOAL 5: Gender Equality (5 year moving average)
Statistical Performance Indicators (SPI)
−40%
GOAL 6: Clean Water and Sanitation (5 year moving average)
Statistical Performance Indicators (SPI)
−2.1%
GOAL 7: Affordable and Clean Energy (5 year moving average)
Statistical Performance Indicators (SPI)
+24.9%
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)
−3.5%
Population & Housing census (Availability score over 20 years)
Statistical Performance Indicators (SPI)
+100%
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)
–
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)
0%
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)
–
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)
−11.3%
Dimension 3.2: Economic Statistics
Statistical Performance Indicators (SPI)
−2%
Dimension 3.3: Environmental Statistics
Statistical Performance Indicators (SPI)
−43.9%
Dimension 3.4: Institutional Statistics
Statistical Performance Indicators (SPI)
+21.3%
Dimension 4.1: Censuses and Surveys - Censuses only
Statistical Performance Indicators (SPI)
+25%
Dimension 4.1: Censuses and Surveys - Surveys only
Statistical Performance Indicators (SPI)
0%
Dimension 4.2: Administrative Data
Statistical Performance Indicators (SPI)
0%
Dimension 4.3: Geospatial Data
Statistical Performance Indicators (SPI)
0%
Dimension 5.1: Legislation and governance
Statistical Performance Indicators (SPI)
–
Dimension 5.2: Standards and Methods
Statistical Performance Indicators (SPI)
0%
Dimension 5.5: Finance
Statistical Performance Indicators (SPI)
–
SPI Overall Score
Statistical Performance Indicators (SPI)
−0.7%
Pillar 1 - Data Use - Score
Statistical Performance Indicators (SPI)
0%
Pillar 2 - Data Services - Score
Statistical Performance Indicators (SPI)
0%
Pillar 3 - Data Products - Score
Statistical Performance Indicators (SPI)
−8.3%
Pillar 4 - Data Sources - Score
Statistical Performance Indicators (SPI)
+7.3%
Pillar 5 - Data Infrastructure - Score
Statistical Performance Indicators (SPI)
0%

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