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Worldwide Bureaucracy Indicators
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The Worldwide Bureaucracy Indicators (WWBI) database is a unique cross-national dataset on public sector employment and wages that aims to fill an information gap, thereby helping researchers, development practitioners, and policymakers gain a better understanding of the personnel dimensions of state capability, the footprint of the public sector within the overall labor market, and the fiscal implications of the public sector wage bill. The dataset is derived from administrative data and household surveys, thereby complementing existing, expert perception-based approaches.
The WWBI includes 192 indicators that are estimated from microdata drawn from the labor force and household welfare surveys and augmented with administrative data for 202 economies in five categories: the demographics of the private and public sector workforces; public sector wage premiums; relative wages and pay compression ratios, gender pay gaps; and the public sector wage bill. The micro and administrative data utilized in the construction of the WWBI are drawn from data catalogs housing surveys conducted by national statistical organizations (NSO) or multilateral organization data teams. Together, these provide an important, albeit narrow, picture of the skills and incentives of bureaucrats. Indicators on public employment track key demographic characteristics including the size of the public sector workforce (in absolute and relative numbers), their age, and distributions across genders, industries, income quintiles, and academic qualifications. Variables on compensation capture both the competitiveness of public sector wages (compared to the private sector) as well as wage differentials across industry or occupation of employment, genders, education, and income quintiles within the public and private sectors as well as pay compression ratios in public and private sectors. The indicators on the size of the wage bill offer a glimpse into the structure and affordability of the public sector within the larger economy.
Type:
Time Series
Acronym:
WWBI
Languages Supported:
English
External Contact Email:
Topics:
Economic Growth
Education
Gender
Health, Nutrition and Population
Jobs
Public Sector Management
GP & CCSAs:
Governance
Granularity:
Geographical Coverage:
Australia
Brunei Darussalam
Cambodia
China
Fiji
Hong Kong SAR, China
Indonesia
Japan
Kiribati
Korea, Rep.
Lao PDR
Macao SAR, China
Malaysia
Marshall Islands
Micronesia, Fed. Sts.
Mongolia
Myanmar
Nauru
New Zealand
Palau
Papua New Guinea
Philippines
Samoa
Singapore
Solomon Islands
Taiwan, China
Thailand
Timor-Leste
Tonga
Tuvalu
Vanuatu
Vietnam
Albania
Armenia
Austria
Azerbaijan
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Cyprus
Czech Republic
Denmark
Estonia
Finland
France
Georgia
Germany
Greece
Hungary
Iceland
Ireland
Italy
Kazakhstan
Kosovo
Kyrgyz Republic
Latvia
Lithuania
Luxembourg
Moldova
Montenegro
Netherlands
North Macedonia
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovak Republic
Slovenia
Spain
Sweden
Switzerland
Tajikistan
Turkey
Turkmenistan
Ukraine
United Kingdom
Uzbekistan
Anguilla
Antigua and Barbuda
Aruba
Argentina
Bahamas, The
Barbados
Belize
Bolivia
Brazil
Cayman Islands
Chile
Costa Rica
Colombia
Curaçao
Dominica
Dominican Republic
Ecuador
El Salvador
Grenada
Guatemala
Guyana
Haiti
Honduras
Jamaica
Mexico
Montserrat
Nicaragua
Panama
Paraguay
Peru
Puerto Rico
Sint Maarten (Dutch part)
St. Kitts and Nevis
St. Lucia
St. Vincent and the Grenadines
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela, RB
Algeria
Bahrain
Egypt, Arab Rep.
Djibouti
Iraq
Iran, Islamic Rep.
Israel
Jordan
Kuwait
Lebanon
Libya
Malta
Morocco
Oman
Qatar
Saudi Arabia
Syrian Arab Republic
West Bank and Gaza
United Arab Emirates
Tunisia
Yemen, Rep.
Bermuda
Canada
United States
Afghanistan
Bangladesh
Bhutan
India
Pakistan
Nepal
Maldives
Sri Lanka
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo, Dem. Rep.
Congo, Rep.
Côte d'Ivoire
Ethiopia
Eritrea
Equatorial Guinea
Gabon
Gambia, The
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mozambique
Namibia
Niger
Nigeria
Rwanda
São Tomé and Principe
Seychelles
Senegal
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Eswatini
Tanzania
Togo
Uganda
Zambia
Zimbabwe
Economy Coverage:
Blend
High Income
IBRD
IDA
Low Income
Lower Middle Income
Upper Middle Income
Number of Economies:
202
Periodicity:
Annual
Temporal Coverage:
2000 - 2018
Release Date:
December 3, 2018
Last Updated
Last Updated:
May 26, 2021
Update Frequency
Update Frequency:
Annually
Harvest System ID
Harvest System ID:
Indicators API
Harvest Source ID
Harvest Source ID:
64
Access Options:
API Documentation, Query Tool, Download
Time Periods:
November, 2018
Data Classification: Public
Date of creation: December 3, 2018
Interactive View URL: http://dataviz.worldbank.org/t/DECDG/views/wwbiTABLEAU-2/Dashboard1?iframeSizedToWindow=true&%3Aembed=y&%3AshowAppBanner=false&%3Adisplay_count=no&%3AshowVizHome=no
Last Updated date: June 30, 2021
Data Classification: Public
Date of creation: December 3, 2018
Interactive View URL: http://dataviz.worldbank.org/t/DECDG/views/wwbiTABLEAU-2/Dashboard2?iframeSizedToWindow=true&%3Aembed=y&%3AshowAppBanner=false&%3Adisplay_count=no&%3AshowVizHome=no
Last Updated date: June 30, 2021
World Bank. 2021. Worldwide Bureaucracy Indicators version 2.0
- 31551
The Worldwide Bureaucracy Indicators (WWBI) database is a unique cross-national dataset on public sector employment and wages that aims to fill an information gap, thereby helping researchers, development practitioners, and policymakers gain a better understanding of the personnel dimensions of state capability, the footprint of the public sector within the overall labor market, and the fiscal implications of the public sector wage bill. The dataset is derived from administrative data and household surveys, thereby complementing existing, expert perception-based approaches.
The WWBI includes 192 indicators that are estimated from microdata drawn from the labor force and household welfare surveys and augmented with administrative data for 202 economies in five categories: the demographics of the private and public sector workforces; public sector wage premiums; relative wages and pay compression ratios, gender pay gaps; and the public sector wage bill. The micro and administrative data utilized in the construction of the WWBI are drawn from data catalogs housing surveys conducted by national statistical organizations (NSO) or multilateral organization data teams. Together, these provide an important, albeit narrow, picture of the skills and incentives of bureaucrats. Indicators on public employment track key demographic characteristics including the size of the public sector workforce (in absolute and relative numbers), their age, and distributions across genders, industries, income quintiles, and academic qualifications. Variables on compensation capture both the competitiveness of public sector wages (compared to the private sector) as well as wage differentials across industry or occupation of employment, genders, education, and income quintiles within the public and private sectors as well as pay compression ratios in public and private sectors. The indicators on the size of the wage bill offer a glimpse into the structure and affordability of the public sector within the larger economy.
Data Resources
| Field | Value |
|---|---|
| Modified Date | 2021-06-30 |
| Release Date | |
| Periodicity |
Annual
|
| Identifier | 36b6d03c-640d-481e-8e49-7850311ab05a |
| Temporal Coverage |
2000 - 2018 |
| License |
License Not Specified
|
| Contact Email |
Acronym:
WWBI
Type:
Languages Supported:
Time Periods:
November, 2018
Economy Coverage:
GP & CCSAs:
Number of Economies:
202
Update Frequency:
Geographical Coverage:
Data Classification of a Dataset:
Source Type:
Start Date:
Saturday, January 1, 2000
End Date:
Monday, December 31, 2018
EEC
Programatic Region:
Release Date:
Monday, December 3, 2018
Last Updated Date:
Wednesday, May 26, 2021
External Contact Email:
Granularity:
Harvest Source:
Harvest System ID:
64
Group:
Citation Text:
World Bank. 2021. Worldwide Bureaucracy Indicators version 2.0
Modified date:
18772
License:
Primary Dataset:
Yes
Data Access and Licensing
This dataset is classified as Public under the Access to Information Classification Policy. Users inside and outside the Bank can access this dataset.
This dataset is licensed under CC-BY 4.0
