Government & Institutions Statistics in Jordan

Explore trusted government & institutions data and trends for Jordan.

All Government & Institutions datasets for Jordan (473)

Dataset
Licensing required for exports of alcoholic beverages
WHO
−1
Licensing required for imports of alcoholic beverages
WHO
−1
Licensing required for wholesale/distribution of alcoholic beverages
WHO
−1
Monopoly on exports of alcoholic beverages
WHO
−1
SDG Harmonized Global Dataflow
OECD
+13%
Public Integrity Indicators
OECD
–
Proportion of women in ministerial level positions (%)
Gender Statistics
−30.8%
Prefers receiving government news by phone call (% age 15+)
Gender Statistics
–
Prefers receiving government news by phone call, women (% age 15+)
Gender Statistics
–
Prefers receiving government news by phone call, men (% age 15+)
Gender Statistics
–
Accessed government services/info online in past three months (% age 15+)
Gender Statistics
–
Accessed government services/info online in past three months, women (% age 15+)
Gender Statistics
–
Accessed government services/info online in past three months, men (% age 15+)
Gender Statistics
–
Digital ID Verification (1=yes; 0= no)
Identification for Development (ID4D) Data
–
Online Digital Identity (1=yes; 0= no)
Identification for Development (ID4D) Data
0%
Digital Data Use (1=yes; 0= no)
Identification for Development (ID4D) Data
–
ID ownership, 25 and older (%)
Identification for Development (ID4D) Data
−11%
Birth certification (%)
Identification for Development (ID4D) Data
–
ID ownership, poorest 40% (% age 15+)
Identification for Development (ID4D) Data
−12.3%
ID ownership, richest 60% (% age 15+)
Identification for Development (ID4D) Data
−10.3%
ID ownership, female (% age 15+)
Identification for Development (ID4D) Data
−9.5%
ID ownership, male (% age 15+)
Identification for Development (ID4D) Data
−12.8%
ID ownership, out of the workforce (% age 15+)
Identification for Development (ID4D) Data
−11.7%
ID ownership, primary education or less (% age 15+)
Identification for Development (ID4D) Data
−17.8%
ID ownership, rural (% age 15+)
Identification for Development (ID4D) Data
−4.5%
ID ownership, secondary education or more (% age 15+)
Identification for Development (ID4D) Data
−9.3%
ID ownership, urban (% age 15+)
Identification for Development (ID4D) Data
−11.9%
ID ownership (% age 15+)
Identification for Development (ID4D) Data
−11%
Children under age 5 whose births are registered, total (%)
Identification for Development (ID4D) Data
–
Children under age 5 whose births are registered, female (%)
Identification for Development (ID4D) Data
–
Children under age 5 whose births are registered, male (%)
Identification for Development (ID4D) Data
–
Challenge: Participating in elections, total (% of population ages 15+ without an ID)
Identification for Development (ID4D) Data
–
Challenge: Using financial services, total (% of population ages 15+ without an ID)
Identification for Development (ID4D) Data
–
Challenge: Receiving financial support, total (% of population ages 15+ without an ID)
Identification for Development (ID4D) Data
–
Challenge: Applying for a job, total (% of population ages 15+ without an ID)
Identification for Development (ID4D) Data
–
Challenge: Receiving medical care, total (% of population ages 15+ without an ID)
Identification for Development (ID4D) Data
–
Challenge: Obtaining a SIM card (% of population ages 15+ without an ID)
Identification for Development (ID4D) Data
–
Have online digital ID, total (% of population ages 15+)
Identification for Development (ID4D) Data
–
Have online digital ID, female (% of female population ages 15+)
Identification for Development (ID4D) Data
–
Have online digital ID, urban (% of urban population ages 15+)
Identification for Development (ID4D) Data
–
Have online digital ID, out of the workforce (% of population ages 15+ out of the workforce)
Identification for Development (ID4D) Data
–
Have online digital ID, in the workforce (% of population ages 15+ in the workforce)
Identification for Development (ID4D) Data
–
Have online digital ID, male (% of male population ages 15+)
Identification for Development (ID4D) Data
–
Have online digital ID, ages 15-24 (% of population ages 15-24)
Identification for Development (ID4D) Data
–
Have online digital ID, ages 25+ (% population ages 25+)
Identification for Development (ID4D) Data
–
Have online digital ID, primary (% of population ages 15+ with primary education)
Identification for Development (ID4D) Data
–
Have online digital ID, secondary (% of population ages 15+ with secondary education)
Identification for Development (ID4D) Data
–
Have online digital ID, poorest 40% (% of population ages 15+ in the poorest 40%)
Identification for Development (ID4D) Data
–
Have online digital ID, richest 60% (% of population ages 15+ in the richest 60%)
Identification for Development (ID4D) Data
–
Have online digital ID, rural (% of rural population ages 15+)
Identification for Development (ID4D) Data
–
ID ownership, ages 15-24 (% of population ages 15-24)
Identification for Development (ID4D) Data
−10.7%
Foundational ID has been used without permission for illegal purposes, total (% of population ages 15+ with an ID)
Identification for Development (ID4D) Data
–
Foundational ID has been used without permission for illegal purposes, female (% of female population ages 15+ with an ID)
Identification for Development (ID4D) Data
–
Foundational ID has been used without permission for illegal purposes, urban (% of urban population ages 15+ with an ID)
Identification for Development (ID4D) Data
–
Foundational ID has been used without permission for illegal purposes, out of the workforce (% of population ages 15+ out of the workforce with an ID)
Identification for Development (ID4D) Data
–
Foundational ID has been used without permission for illegal purposes, male (% of male population ages 15+ with an ID)
Identification for Development (ID4D) Data
–
Foundational ID has been used without permission for illegal purposes, ages 15-24 (% of population ages 15-24 with an ID)
Identification for Development (ID4D) Data
–
Foundational ID has been used without permission for illegal purposes, ages 25+ (% of population ages 25+ with an ID)
Identification for Development (ID4D) Data
–
Foundational ID has been used without permission for illegal purposes, primary (% of population ages 15+ with primary education and an ID)
Identification for Development (ID4D) Data
–
Foundational ID has been used without permission for illegal purposes, secondary (% of population ages 15+ with secondary education and an ID)
Identification for Development (ID4D) Data
–
Foundational ID has been used without permission for illegal purposes, richest 60% (% of population ages 15+ in the richest 60% with an ID)
Identification for Development (ID4D) Data
–
Foundational ID has been used without permission for illegal purposes, rural (% of rural population ages 15+ with an ID)
Identification for Development (ID4D) Data
–
Reason no ID: Too expensive, total (% of population ages 15+ without an ID)
Identification for Development (ID4D) Data
–
Reason no ID: Travel too far, total (% of population ages 15+ without an ID)
Identification for Development (ID4D) Data
–
Reason no ID: No documalets, total (% of population ages 15+ without an ID)
Identification for Development (ID4D) Data
–
Reason no ID: Do not need an ID, total (% of population ages 15+ without an ID)
Identification for Development (ID4D) Data
–
Reason no ID: Have another ID, total (% of population ages 15+ without an ID)
Identification for Development (ID4D) Data
–
Reason no ID: Uncomfortable sharing info, total (% of population ages 15+ without an ID)
Identification for Development (ID4D) Data
–
Online digital ID has been used on phone or computer to confirm identity online, total (% of population ages 15+ who own an online digital ID)
Identification for Development (ID4D) Data
–
Online digital ID has been used on phone or computer to confirm identity online, female (% of female population ages 15+ who own an online digital ID)
Identification for Development (ID4D) Data
–
Online digital ID has been used on phone or computer to confirm identity online, urban (% of urban population ages 15+ who own an online digital ID)
Identification for Development (ID4D) Data
–
Online digital ID has been used on phone or computer to confirm identity online, 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, 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$)
World Development Indicators
+22.3%
Net bilateral aid flows from DAC donors, Austria (current US$)
World Development Indicators
+0.4%
Net bilateral aid flows from DAC donors, Belgium (current US$)
World Development Indicators
−98.4%
Net bilateral aid flows from DAC donors, European Union institutions (current US$)
World Development Indicators
+12.9%
Net bilateral aid flows from DAC donors, Switzerland (current US$)
World Development Indicators
−8.1%
Net bilateral aid flows from DAC donors, Czechia (current US$)
World Development Indicators
+133.9%
Net bilateral aid flows from DAC donors, Germany (current US$)
World Development Indicators
+45.3%
Net bilateral aid flows from DAC donors, Denmark (current US$)
World Development Indicators
−56%
Net bilateral aid flows from DAC donors, Spain (current US$)
World Development Indicators
+91.1%
Net bilateral aid flows from DAC donors, Estonia (current US$)
World Development Indicators
+2.8%
Net bilateral aid flows from DAC donors, Finland (current US$)
World Development Indicators
+419.6%
Net bilateral aid flows from DAC donors, France (current US$)
World Development Indicators
−75.2%
Net bilateral aid flows from DAC donors, United Kingdom (current US$)
World Development Indicators
−32.8%
Net bilateral aid flows from DAC donors, Greece (current US$)
World Development Indicators
−64.1%
Net bilateral aid flows from DAC donors, Hungary (current US$)
World Development Indicators
−35.3%
Net bilateral aid flows from DAC donors, Ireland (current US$)
World Development Indicators
−4.1%
Net bilateral aid flows from DAC donors, Iceland (current US$)
World Development Indicators
−1.9%
Net bilateral aid flows from DAC donors, Italy (current US$)
World Development Indicators
+57.1%
Net bilateral aid flows from DAC donors, Japan (current US$)
World Development Indicators
+6.1%
Net bilateral aid flows from DAC donors, Korea, Rep. (current US$)
World Development Indicators
−84.3%
Net bilateral aid flows from DAC donors, Lithuania (current US$)
World Development Indicators
+1,008.6%
Net bilateral aid flows from DAC donors, Luxembourg (current US$)
World Development Indicators
+43.3%
Net bilateral aid flows from DAC donors, Netherlands (current US$)
World Development Indicators
−45.2%
Net bilateral aid flows from DAC donors, Norway (current US$)
World Development Indicators
+5.6%
Net bilateral aid flows from DAC donors, New Zealand (current US$)
World Development Indicators
−98.4%
Net bilateral aid flows from DAC donors, Poland (current US$)
World Development Indicators
−34.8%
Net bilateral aid flows from DAC donors, Portugal (current US$)
World Development Indicators
+184.7%
Net bilateral aid flows from DAC donors, Slovak Republic (current US$)
World Development Indicators
+32.4%
Net bilateral aid flows from DAC donors, Slovenia (current US$)
World Development Indicators
−89.3%
Net bilateral aid flows from DAC donors, Sweden (current US$)
World Development Indicators
−7.3%
Net bilateral aid flows from DAC donors, Total (current US$)
World Development Indicators
+79.5%
Net bilateral aid flows from DAC donors, United States (current US$)
World Development Indicators
+286.7%
Net official flows from UN agencies, SDGFUND (current US$)
World Development Indicators
−61.5%
Net official flows from UN agencies, SPRP (current US$)
World Development Indicators
−68%
Net official flows from UN agencies, UNAIDS (current US$)
World Development Indicators
−64.7%
Net official flows from UN agencies, UNICEF (current US$)
World Development Indicators
+15.3%
Net official flows from UN agencies, UNHCR (current US$)
World Development Indicators
+495.3%
Net official flows from UN agencies, UNCOVID (current US$)
World Development Indicators
−856,000
Net official flows from UN agencies, UNDP (current US$)
World Development Indicators
−9.7%
Net official flows from UN agencies, UNEP (current US$)
World Development Indicators
–
Net official flows from UN agencies, UNFPA (current US$)
World Development Indicators
−10.6%
Net official flows from UN agencies, UNIDO (current US$)
World Development Indicators
−93.7%
Net official flows from UN agencies, UNRWA (current US$)
World Development Indicators
−3%
Net official flows from UN agencies, UNTA (current US$)
World Development Indicators
−45.5%
Net official flows from UN agencies, UNWOMEN (current US$)
World Development Indicators
+39.9%
Net official flows from UN agencies, WFP (current US$)
World Development Indicators
+20.3%
Net official flows from UN agencies, WHO (current US$)
World Development Indicators
+24%
Net official flows from UN agencies, WTO-ITC (current US$)
World Development Indicators
–
Net official development assistance and official aid received (current US$)
World Development Indicators
+42.6%
Net official development assistance and official aid received (constant 2021 US$)
World Development Indicators
+35.7%
Net official development assistance received (current US$)
World Development Indicators
+42.6%
Net ODA received (% of gross capital formation)
World Development Indicators
−11.3%
Net ODA received (% of GNI)
World Development Indicators
+35.7%
Net official development assistance received (constant 2021 US$)
World Development Indicators
+35.7%
Net ODA received (% of imports of goods, services and primary income)
World Development Indicators
+43.9%
Net ODA received per capita (current US$)
World Development Indicators
+40.3%
Proportion of seats held by women in national parliaments (%)
World Development Indicators
+59%
Government Effectiveness: Standard Error
World Development Indicators
+4.2%
Structural Reform Database (SRD)
IMF
0%
Public sector female employment, as a share of paid employment by occupational group: Clerks
Worldwide Bureaucracy Indicators
−9.3%
Public sector female employment, as a share of paid employment by industry: Education
Worldwide Bureaucracy Indicators
−8.9%
Public sector female employment, as a share of paid employment by occupational group: Elementary workers
Worldwide Bureaucracy Indicators
−69.4%
Public sector female employment, as a share of paid employment by industry: Health
Worldwide Bureaucracy Indicators
−9.6%
Public sector female employment, as a share of paid employment by occupation: Medical workers
Worldwide Bureaucracy Indicators
−15.9%
Public sector female employment, as a share of paid employment by occupational group: Professionals
Worldwide Bureaucracy Indicators
−11.3%
Public sector female employment, as a share of paid employment by occupational group: Manager
Worldwide Bureaucracy Indicators
−5.3%
Public sector female employment, as a share of paid employment by occupational group: Technicians
Worldwide Bureaucracy Indicators
−10.1%
Public sector female employment, as a share of paid employment by occupation: Teachers
Worldwide Bureaucracy Indicators
−8%
Core Public Administration workers, as a share of public paid employees
Worldwide Bureaucracy Indicators
−2.1%
Education workers, as a share of public paid employees
Worldwide Bureaucracy Indicators
−7.9%
Health workers, as a share of public paid employees
Worldwide Bureaucracy Indicators
−0.8%
Medical workers, as a share of public paid employees
Worldwide Bureaucracy Indicators
+13.8%
Public sector employment, as a share of paid employment, by occupational group: Clerks
Worldwide Bureaucracy Indicators
−5.7%
Public sector employment, as a share of paid employment, by industry: Education
Worldwide Bureaucracy Indicators
−7.2%
Public sector employment, as a share of paid employment, by occupational group: Elementary workers
Worldwide Bureaucracy Indicators
+0.2%
Public sector employment, as a share of paid employment by gender: Female
Worldwide Bureaucracy Indicators
−39.8%
Public sector employment, as a share of paid employment, by industry: Health
Worldwide Bureaucracy Indicators
−4.9%
Public sector employment, as a share of paid employment by gender: Male
Worldwide Bureaucracy Indicators
−32.9%
Public sector employment, as a share of paid employment, by occupation: Medical workers
Worldwide Bureaucracy Indicators
−6.5%
Public Administration workers, as a share of public paid employees
Worldwide Bureaucracy Indicators
+0.6%
Public sector employment, as a share of paid employment, by occupational group: Professionals
Worldwide Bureaucracy Indicators
−6.7%
Public Safety workers, as a share of public paid employees
Worldwide Bureaucracy Indicators
+2%
Public sector employment, as a share of paid employment by location: Rural
Worldwide Bureaucracy Indicators
−14.7%
Public sector employment, as a share of paid employment, by occupational group: Manager
Worldwide Bureaucracy Indicators
+10.7%
Public sector employment, as a share of paid employment, by occupational group: Technicians
Worldwide Bureaucracy Indicators
−2.9%
Public sector employment, as a share of paid employment, by occupation: Teachers
Worldwide Bureaucracy Indicators
−7%
Public sector employment, as a share of paid employment by location: Urban
Worldwide Bureaucracy Indicators
−37.6%
Public sector employment, as a share of paid employment
Worldwide Bureaucracy Indicators
−34.3%
Social Security workers, as a share of public paid employees
Worldwide Bureaucracy Indicators
−15.8%
Teachers, as a share of public paid employees
Worldwide Bureaucracy Indicators
−9%
Core Public Administration workers, as a share of public total employees
Worldwide Bureaucracy Indicators
−2.1%
Education workers, as a share of public total employees
Worldwide Bureaucracy Indicators
−7.9%
Health workers, as a share of public total employees
Worldwide Bureaucracy Indicators
−0.8%
Medical workers, as a share of public total employees
Worldwide Bureaucracy Indicators
+13.8%
Number of employed individuals
Worldwide Bureaucracy Indicators
−0.9%
Number of employed employees, by industry: Core Public Administration
Worldwide Bureaucracy Indicators
−7.3%
Number of employed employees, by industry: Education
Worldwide Bureaucracy Indicators
−3.6%
Number of employed employees, by industry: Health
Worldwide Bureaucracy Indicators
−5.1%
Number of employed employees, by occupation: Medical workers
Worldwide Bureaucracy Indicators
+1.1%
Number of employed employees, by industry: Public Administration
Worldwide Bureaucracy Indicators
+0.8%
Number of employed employees, by industry: Public Safety
Worldwide Bureaucracy Indicators
+4.3%
Number of employed employees, by industry: Social Security
Worldwide Bureaucracy Indicators
+11.5%
Number of employed employees, by occupation: Teachers
Worldwide Bureaucracy Indicators
−5.1%
Public sector employment, as a share of total employment, by occupational group: Clerks
Worldwide Bureaucracy Indicators
−6.8%
Public sector employment, as a share of total employment, by industry: Education
Worldwide Bureaucracy Indicators
−7.9%
Public sector employment, as a share of total employment, by occupationa group: Elementary workers
Worldwide Bureaucracy Indicators
+1.2%
Public sector employment, as a share of total employment by gender: Female
Worldwide Bureaucracy Indicators
−39.2%
Public sector employment, as a share of total employment, by industry: Health
Worldwide Bureaucracy Indicators
−4.9%
Public sector employment, as a share of total employment by gender: Male
Worldwide Bureaucracy Indicators
−30.1%
Public sector employment, as a share of total employment, by occupation: Medical workers
Worldwide Bureaucracy Indicators
−4.5%
Public Administration workers, as a share of public total employees
Worldwide Bureaucracy Indicators
+0.6%
Public sector employment, as a share of total employment, by occupational group: Professionals
Worldwide Bureaucracy Indicators
−6.8%
Public Safety workers, as a share of total public employees
Worldwide Bureaucracy Indicators
+2%
Public sector employment, as a share of total employment by location: Rural
Worldwide Bureaucracy Indicators
−13.4%
Public sector employment, as a share of total employment, by occupational group: Manager
Worldwide Bureaucracy Indicators
+9%
Public sector employment, as a share of total employment, by occupational group: Technicians
Worldwide Bureaucracy Indicators
−4.3%
Public sector employment, as a share of total employment, by occupation: Teachers
Worldwide Bureaucracy Indicators
−7.5%
Proportion of total employees with tertiary education working in public sector
Worldwide Bureaucracy Indicators
−17.1%
Public sector employment, as a share of total employment by location: Urban
Worldwide Bureaucracy Indicators
−34.9%
Public sector employment, as a share of total employment
Worldwide Bureaucracy Indicators
−31.8%
Social Security workers, as a share of total public employees
Worldwide Bureaucracy Indicators
−15.8%
Teachers, as a share of public total employees
Worldwide Bureaucracy Indicators
−9%
Median age of public paid employees, by industry: Core Public Administration
Worldwide Bureaucracy Indicators
+2.6%
Mean age of public paid employees, by industry: Core Public Administration
Worldwide Bureaucracy Indicators
+2.7%
Mean age of public paid employees, by industry: Education
Worldwide Bureaucracy Indicators
+3.9%
Median age of public paid employees, by industry: Health
Worldwide Bureaucracy Indicators
0%
Mean age of public paid employees, by industry: Health
Worldwide Bureaucracy Indicators
+0.8%
Median age of public paid employees
Worldwide Bureaucracy Indicators
+3%
Median age of public paid employees, by occupation: Medical workers
Worldwide Bureaucracy Indicators
0%
Mean age of public paid employees, by occupation: Medical workers
Worldwide Bureaucracy Indicators
0%
Median age of public paid employees, by industry: Public Administration
Worldwide Bureaucracy Indicators
0%
Mean age of public paid employees, by industry: Public Administration
Worldwide Bureaucracy Indicators
+0.7%
Median age of public paid employees, by industry: Public Safety
Worldwide Bureaucracy Indicators
−3.4%
Mean age of public paid employees, by industry: Public Safety
Worldwide Bureaucracy Indicators
−0.1%
Mean age of public paid employees
Worldwide Bureaucracy Indicators
+1.4%
Median age of public paid employees, by industry: Social Security
Worldwide Bureaucracy Indicators
+7.1%
Mean age of public paid employees, by industry: Social Security
Worldwide Bureaucracy Indicators
+6.6%
Median age of public paid employees, by occupation: Teachers
Worldwide Bureaucracy Indicators
+5.7%
Mean age of public paid employees, by occupation: Teachers
Worldwide Bureaucracy Indicators
+4.1%
Median age of private paid employees, by industry: Education
Worldwide Bureaucracy Indicators
+2.8%
Mean age of private paid employees, by industry: Education
Worldwide Bureaucracy Indicators
+1.8%
Median age of private paid employees, by industry: Health
Worldwide Bureaucracy Indicators
+6.3%
Mean age of private paid employees, by industry: Health
Worldwide Bureaucracy Indicators
+3.6%
Median age of private paid employees
Worldwide Bureaucracy Indicators
0%
Median age of private paid employees, by occupation: Medical workers
Worldwide Bureaucracy Indicators
+3.3%
Mean age of private paid employees, by occupation: Medical workers
Worldwide Bureaucracy Indicators
+0.6%
Mean age of private paid employees
Worldwide Bureaucracy Indicators
+0.1%
Median age of private paid employees, by occupation: Teachers
Worldwide Bureaucracy Indicators
+2.9%
Mean age of private paid employees, by occupation: Teachers
Worldwide Bureaucracy Indicators
+2.8%
Cross-country public sector pay comparison ratio, by occupation: Government economist (using median)
Worldwide Bureaucracy Indicators
–
Cross-country public sector pay comparison ratio, by occupation: Government economist (using mean)
Worldwide Bureaucracy Indicators
–
Cross-country public sector pay comparison ratio, by occupation: Hospital doctor (using median)
Worldwide Bureaucracy Indicators
–
Cross-country public sector pay comparison ratio, by occupation: Hospital doctor (using mean)
Worldwide Bureaucracy Indicators
–
Cross-country public sector pay comparison ratio, by occupation: Hospital nurse (using median)
Worldwide Bureaucracy Indicators
–
Cross-country public sector pay comparison ratio, by occupation: Hospital nurse (using mean)
Worldwide Bureaucracy Indicators
–
Cross-country public sector pay comparison ratio, by occupation: Judge (using median)
Worldwide Bureaucracy Indicators
–
Cross-country public sector pay comparison ratio, by occupation: Judge (using mean)
Worldwide Bureaucracy Indicators
–
Cross-country public sector pay comparison ratio, by occupation: 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
−11.5%
Females, as a share of private paid employees by occupational group: Elementary occupation
Worldwide Bureaucracy Indicators
+26.3%
Females, as a share of private paid employees by wage quintile: Quintile 1
Worldwide Bureaucracy Indicators
+13.6%
Females, as a share of private paid employees by wage quintile: Quintile 2
Worldwide Bureaucracy Indicators
+0.6%
Females, as a share of private paid employees by wage quintile: Quintile 3
Worldwide Bureaucracy Indicators
+11.3%
Females, as a share of private paid employees by wage quintile: Quintile 4
Worldwide Bureaucracy Indicators
−10%
Females, as a share of private paid employees by wage quintile: Quintile 5
Worldwide Bureaucracy Indicators
+41.7%
Females, as a share of private paid employees
Worldwide Bureaucracy Indicators
+14.2%
Individuals with no education as a share of private paid employees
Worldwide Bureaucracy Indicators
+120.1%
Females, as a share of private paid employees by occupational group: Professionals
Worldwide Bureaucracy Indicators
+13.1%
Individuals with primary education as a share of private paid employees
Worldwide Bureaucracy Indicators
+27.8%
Rural residents, as a share of private paid employees
Worldwide Bureaucracy Indicators
−15.3%
Individuals with secondary education as a share of private paid employees
Worldwide Bureaucracy Indicators
+3.1%
Females, as a share of private paid employees by occupational group: Managers
Worldwide Bureaucracy Indicators
−4.3%
Females, as a share of private paid employees by occupational group: Technicians
Worldwide Bureaucracy Indicators
+6.2%
Individuals with tertiary education as a share of private paid employees, by industry: Education
Worldwide Bureaucracy Indicators
−1.1%
Individuals with tertiary education as a share of private paid employees, by industry: Health
Worldwide Bureaucracy Indicators
−4.7%
Individuals with tertiary Education as a share of private paid employees, by occupation: Medical workers
Worldwide Bureaucracy Indicators
0%
Individuals with tertiary Education as a share of private paid employees, by occupation: Teachers
Worldwide Bureaucracy Indicators
+0.3%
Individuals with tertiary education as a share of private paid employees
Worldwide Bureaucracy Indicators
−27.8%
Females, as a share of public paid employees by industry: Core Public Administration
Worldwide Bureaucracy Indicators
−13%
Females, as a share of public paid employees by occupational group: Clerks
Worldwide Bureaucracy Indicators
−20.9%
Females, as a share of public paid employees by industry: Education
Worldwide Bureaucracy Indicators
+3.5%
Females, as a share of public paid employees by occupational group: Elementary occupation
Worldwide Bureaucracy Indicators
−15.1%
Females, as a share of public paid employees by wage quintile: Quintile 1
Worldwide Bureaucracy Indicators
−4.7%
Females, as a share of public paid employees by wage quintile: Quintile 2
Worldwide Bureaucracy Indicators
−2.2%
Females, as a share of public paid employees by wage quintile: Quintile 3
Worldwide Bureaucracy Indicators
+2.5%
Females, as a share of public paid employees by wage quintile: Quintile 4
Worldwide Bureaucracy Indicators
−5.3%
Females, as a share of public paid employees by wage quintile: Quintile 5
Worldwide Bureaucracy Indicators
−8.3%
Females, as a share of public paid employees
Worldwide Bureaucracy Indicators
−4.9%
Females, as a share of public paid employees by industry: Health
Worldwide Bureaucracy Indicators
−0.2%
Females, as a share of public paid employees by occupation: Medical workers
Worldwide Bureaucracy Indicators
+1.6%
Individuals with no education as a share of public paid employees
Worldwide Bureaucracy Indicators
+53%
Number of public paid employees
Worldwide Bureaucracy Indicators
−0.6%
Number of public paid employees, by industry: Core Public Administration
Worldwide Bureaucracy Indicators
−7.3%
Number of public paid employees, by industry: Education
Worldwide Bureaucracy Indicators
−7.3%
Number of public paid employees, by industry: Health
Worldwide Bureaucracy Indicators
−6.6%
Number of public paid employees, by occupation: Medical workers
Worldwide Bureaucracy Indicators
−2%
Number of public paid employees, by industry: Public Administration
Worldwide Bureaucracy Indicators
+0.8%
Number of public paid employees, by industry: Public Safety
Worldwide Bureaucracy Indicators
+4.3%
Number of public paid employees, by industry: Social Security
Worldwide Bureaucracy Indicators
+11.5%
Number of public paid employees, by occupation: Teachers
Worldwide Bureaucracy Indicators
−8%
Females, as a share of public paid employees by industry: Public Administration
Worldwide Bureaucracy Indicators
−12%
Females, as a share of public paid employees by occupational group: Professionals
Worldwide Bureaucracy Indicators
0%
Individuals with primary education as a share of public paid employees
Worldwide Bureaucracy Indicators
+4.8%
Rural residents, as a share of public paid employees, by industry: Core Public Administration
Worldwide Bureaucracy Indicators
+1.5%
Rural residents, as a share of public paid employees, by industry: Education
Worldwide Bureaucracy Indicators
+4.7%
Rural residents, as a share of public paid employees, by industry: Health
Worldwide Bureaucracy Indicators
−5.2%
Rural residents, as a share of public paid employees, by occupation: Medical workers
Worldwide Bureaucracy Indicators
−19.6%
Rural residents, as a share of public paid employees, by industry: Public Administration
Worldwide Bureaucracy Indicators
+2.3%
Rural residents, as a share of public paid employees, by industry: Public Safety
Worldwide Bureaucracy Indicators
+2.2%
Rural residents, as a share of public paid employees, by industry: Social Security
Worldwide Bureaucracy Indicators
−20%
Rural residents, as a share of public paid employees, by industry: Teachers
Worldwide Bureaucracy Indicators
+6.7%
Rural residents, as a share of public paid employees
Worldwide Bureaucracy Indicators
+1.7%
Individuals with secondary education as a share of public paid employees
Worldwide Bureaucracy Indicators
+4.1%

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