Liberia

iso2Code: LR

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

iso2code: XM

value: Low income

capitalCity: Monrovia

country_code: LBR

country_name: Liberia

value: Worldwide Governance Indicators website (https://info.worldbank.org/governance/wgi/)


Control of Corruption: Estimate

value: World Development Indicators

sourceNone: Control of Corruption captures perceptions of the extent to which public power is exercised for private gain, including both petty and grand forms of corruption, as well as "capture" of the state by elites and private interests. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5.

value: Public Sector

Libya

iso2Code: LY

iso2code: ZQ

value: Middle East & North Africa

iso2code: XQ

value: Middle East & North Africa (excluding high income)

iso2code: XT

value: Upper middle income

iso2code: XF

value: IBRD

capitalCity: Tripoli

country_code: LBY

country_name: Libya

value: Control of Corruption: Estimate

value: CC BY-4.0

value: Public Sector: Policy & institutions

value: The Worldwide Governance Indicators (WGI) are a research dataset summarizing the views on the quality of governance provided by a large number of enterprise, citizen and expert survey respondents in industrial and developing countries. These data are gathered from a number of survey institutes, think tanks, non-governmental organizations, international organizations, and private sector firms. The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent. The WGI are not used by the World Bank Group to allocate resources.

value: Annual

value: Detailed documentation of the WGI, interactive tools for exploring the data, and full access to the underlying source data available at www.govindicators.org. The WGI are produced by Daniel Kaufmann (Natural Resource Governance Institute and Brookings Institution) and Aart Kraay (World Bank Development Research Group).  Please cite Kaufmann, Daniel, Aart Kraay and Massimo Mastruzzi (2010).  "The Worldwide Governance Indicators:  Methodology and Analytical Issues".  World Bank Policy Research Working Paper No. 5430 (http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1682130).  The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent.

schema: wb


St. Lucia

iso2Code: LC

iso2code: ZJ

value: Latin America & Caribbean

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

iso2code: XH

value: Blend

capitalCity: Castries

country_code: LCA

country_name: St. Lucia

value: Control of Corruption captures perceptions of the extent to which public power is exercised for private gain, including both petty and grand forms of corruption, as well as "capture" of the state by elites and private interests. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5.


Control of Corruption: Estimate

Latin America & Caribbean

value: Aggregates

country_code: LCN

country_name: Latin America & Caribbean

value: Worldwide Governance Indicators website (https://info.worldbank.org/governance/wgi/)


value: World Development Indicators

value: Public Sector

iso2Code: XL

name: Least developed countries: UN classification

country_code: LDC


country_code: LIC

country_name: Low income


Liechtenstein

iso2Code: LI

value: Europe & Central Asia

iso2code: XD

value: High income

iso2code: XX

value: Not classified

capitalCity: Vaduz

country_code: LIE

country_name: Liechtenstein


Control of Corruption: Estimate

Sri Lanka

iso2Code: LK

value: South Asia

iso2code: XN

value: Lower middle income

iso2code: XI

value: IDA

capitalCity: Colombo

country_code: LKA

country_name: Sri Lanka

value: Control of Corruption: Estimate


country_code: LMC

country_name: Lower middle income

value: CC BY-4.0

value: Public Sector: Policy & institutions

value: The Worldwide Governance Indicators (WGI) are a research dataset summarizing the views on the quality of governance provided by a large number of enterprise, citizen and expert survey respondents in industrial and developing countries. These data are gathered from a number of survey institutes, think tanks, non-governmental organizations, international organizations, and private sector firms. The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent. The WGI are not used by the World Bank Group to allocate resources.

value: Annual


Low & middle income

iso2Code: XO

country_code: LMY

country_name: Low & middle income

value: Detailed documentation of the WGI, interactive tools for exploring the data, and full access to the underlying source data available at www.govindicators.org. The WGI are produced by Daniel Kaufmann (Natural Resource Governance Institute and Brookings Institution) and Aart Kraay (World Bank Development Research Group).  Please cite Kaufmann, Daniel, Aart Kraay and Massimo Mastruzzi (2010).  "The Worldwide Governance Indicators:  Methodology and Analytical Issues".  World Bank Policy Research Working Paper No. 5430 (http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1682130).  The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent.


Control of Corruption: Estimate

Lesotho

iso2Code: LS

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

capitalCity: Maseru

country_code: LSO

country_name: Lesotho

value: Control of Corruption captures perceptions of the extent to which public power is exercised for private gain, including both petty and grand forms of corruption, as well as "capture" of the state by elites and private interests. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5.


value: World Development Indicators

Late-demographic dividend

value: Aggregates

country_code: LTE

country_name: Late-demographic dividend

value: Worldwide Governance Indicators website (https://info.worldbank.org/governance/wgi/)


Control of Corruption: Estimate

value: Public Sector

Lithuania

iso2Code: LT

value: Europe & Central Asia

value: High income

capitalCity: Vilnius

country_code: LTU

country_name: Lithuania


Luxembourg

iso2Code: LU

value: Not classified

capitalCity: Luxembourg

country_code: LUX

country_name: Luxembourg


Control of Corruption: Estimate

Latvia

iso2Code: LV

capitalCity: Riga

country_code: LVA

country_name: Latvia


Macao SAR, China

iso2Code: MO

value: East Asia & Pacific

country_code: MAC

country_name: Macao SAR, China


Control of Corruption: Estimate

St. Martin (French part)

iso2Code: MF

iso2code: ZJ

value: Latin America & Caribbean

capitalCity: Marigot

country_code: MAF

country_name: St. Martin (French part)

value: Control of Corruption: Estimate


Morocco

iso2Code: MA

iso2code: ZQ

value: Middle East & North Africa

iso2code: XQ

value: Middle East & North Africa (excluding high income)

value: Lower middle income

iso2code: XF

value: IBRD

capitalCity: Rabat

country_code: MAR

country_name: Morocco

value: CC BY-4.0

value: Public Sector: Policy & institutions


Control of Corruption: Estimate

Monaco

iso2Code: MC

iso2code: XD

iso2code: XX

capitalCity: Monaco

country_code: MCO

country_name: Monaco

value: Control of Corruption captures perceptions of the extent to which public power is exercised for private gain, including both petty and grand forms of corruption, as well as "capture" of the state by elites and private interests. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5.

value: The Worldwide Governance Indicators (WGI) are a research dataset summarizing the views on the quality of governance provided by a large number of enterprise, citizen and expert survey respondents in industrial and developing countries. These data are gathered from a number of survey institutes, think tanks, non-governmental organizations, international organizations, and private sector firms. The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent. The WGI are not used by the World Bank Group to allocate resources.

value: Annual

value: Detailed documentation of the WGI, interactive tools for exploring the data, and full access to the underlying source data available at www.govindicators.org. The WGI are produced by Daniel Kaufmann (Natural Resource Governance Institute and Brookings Institution) and Aart Kraay (World Bank Development Research Group).  Please cite Kaufmann, Daniel, Aart Kraay and Massimo Mastruzzi (2010).  "The Worldwide Governance Indicators:  Methodology and Analytical Issues".  World Bank Policy Research Working Paper No. 5430 (http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1682130).  The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent.


value: World Development Indicators

value: Public Sector

Moldova

iso2Code: MD

value: Europe & Central Asia (excluding high income)

iso2code: XT

value: Upper middle income

capitalCity: Chisinau

country_code: MDA

country_name: Moldova

value: Worldwide Governance Indicators website (https://info.worldbank.org/governance/wgi/)


Control of Corruption: Estimate

Madagascar

iso2Code: MG

iso2code: ZG

value: Sub-Saharan Africa

value: Sub-Saharan Africa (excluding high income)

iso2code: XM

value: Low income

iso2code: XI

value: IDA

capitalCity: Antananarivo

country_code: MDG

country_name: Madagascar


Maldives

iso2Code: MV

value: South Asia

capitalCity: Male

country_code: MDV

country_name: Maldives

value: Control of Corruption: Estimate


Control of Corruption: Estimate

Middle East & North Africa

value: Aggregates

country_code: MEA

country_name: Middle East & North Africa

value: CC BY-4.0


Mexico

iso2Code: MX

value: Latin America & Caribbean

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

value: IBRD

capitalCity: Mexico City

country_code: MEX

country_name: Mexico

value: Control of Corruption captures perceptions of the extent to which public power is exercised for private gain, including both petty and grand forms of corruption, as well as "capture" of the state by elites and private interests. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5.

value: Public Sector: Policy & institutions


Control of Corruption: Estimate

value: World Development Indicators

value: Public Sector

Marshall Islands

iso2Code: MH

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

capitalCity: Majuro

country_code: MHL

country_name: Marshall Islands

value: The Worldwide Governance Indicators (WGI) are a research dataset summarizing the views on the quality of governance provided by a large number of enterprise, citizen and expert survey respondents in industrial and developing countries. These data are gathered from a number of survey institutes, think tanks, non-governmental organizations, international organizations, and private sector firms. The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent. The WGI are not used by the World Bank Group to allocate resources.

value: Annual

value: Detailed documentation of the WGI, interactive tools for exploring the data, and full access to the underlying source data available at www.govindicators.org. The WGI are produced by Daniel Kaufmann (Natural Resource Governance Institute and Brookings Institution) and Aart Kraay (World Bank Development Research Group).  Please cite Kaufmann, Daniel, Aart Kraay and Massimo Mastruzzi (2010).  "The Worldwide Governance Indicators:  Methodology and Analytical Issues".  World Bank Policy Research Working Paper No. 5430 (http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1682130).  The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent.


Middle income

iso2Code: XP

country_code: MIC

country_name: Middle income

value: Worldwide Governance Indicators website (https://info.worldbank.org/governance/wgi/)


Control of Corruption: Estimate

North Macedonia

iso2Code: MK

value: Europe & Central Asia

value: Europe & Central Asia (excluding high income)

value: Upper middle income

capitalCity: Skopje

country_code: MKD

country_name: North Macedonia


Mali

iso2Code: ML

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

value: Low income

value: IDA

capitalCity: Bamako

country_code: MLI

country_name: Mali

value: Control of Corruption: Estimate

value: CC BY-4.0


Control of Corruption: Estimate

value: World Development Indicators

Malta

iso2Code: MT

iso2code: ZQ

value: Middle East & North Africa

value: High income

value: Not classified

capitalCity: Valletta

country_code: MLT

country_name: Malta

value: Control of Corruption captures perceptions of the extent to which public power is exercised for private gain, including both petty and grand forms of corruption, as well as "capture" of the state by elites and private interests. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5.

value: Public Sector: Policy & institutions


value: Public Sector

Myanmar

iso2Code: MM

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

iso2code: XN

value: Lower middle income

capitalCity: Naypyidaw

country_code: MMR

country_name: Myanmar

value: The Worldwide Governance Indicators (WGI) are a research dataset summarizing the views on the quality of governance provided by a large number of enterprise, citizen and expert survey respondents in industrial and developing countries. These data are gathered from a number of survey institutes, think tanks, non-governmental organizations, international organizations, and private sector firms. The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent. The WGI are not used by the World Bank Group to allocate resources.

value: Annual

value: Detailed documentation of the WGI, interactive tools for exploring the data, and full access to the underlying source data available at www.govindicators.org. The WGI are produced by Daniel Kaufmann (Natural Resource Governance Institute and Brookings Institution) and Aart Kraay (World Bank Development Research Group).  Please cite Kaufmann, Daniel, Aart Kraay and Massimo Mastruzzi (2010).  "The Worldwide Governance Indicators:  Methodology and Analytical Issues".  World Bank Policy Research Working Paper No. 5430 (http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1682130).  The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent.


Control of Corruption: Estimate

iso2Code: XQ

name: Middle East & North Africa (excluding high income)

value: Aggregates

country_code: MNA

value: Worldwide Governance Indicators website (https://info.worldbank.org/governance/wgi/)


Montenegro

iso2Code: ME

value: Europe & Central Asia

value: Europe & Central Asia (excluding high income)

iso2code: XT

value: Upper middle income

iso2code: XF

value: IBRD

capitalCity: Podgorica

country_code: MNE

country_name: Montenegro

value: Control of Corruption: Estimate


Control of Corruption: Estimate

value: World Development Indicators

Mongolia

iso2Code: MN

capitalCity: Ulaanbaatar

country_code: MNG

country_name: Mongolia

value: CC BY-4.0


Northern Mariana Islands

iso2Code: MP

iso2code: XD

value: High income

iso2code: XX

value: Not classified

capitalCity: Saipan

country_code: MNP

country_name: Northern Mariana Islands

value: Control of Corruption captures perceptions of the extent to which public power is exercised for private gain, including both petty and grand forms of corruption, as well as "capture" of the state by elites and private interests. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5.

value: Public Sector: Policy & institutions


Control of Corruption: Estimate

value: Public Sector

Mozambique

iso2Code: MZ

iso2code: ZG

value: Sub-Saharan Africa

value: Sub-Saharan Africa (excluding high income)

iso2code: XM

value: Low income

iso2code: XI

value: IDA

capitalCity: Maputo

country_code: MOZ

country_name: Mozambique


Mauritania

iso2Code: MR

iso2code: ZF

value: Lower middle income

capitalCity: Nouakchott

country_code: MRT

country_name: Mauritania

value: Worldwide Governance Indicators website (https://info.worldbank.org/governance/wgi/)

value: The Worldwide Governance Indicators (WGI) are a research dataset summarizing the views on the quality of governance provided by a large number of enterprise, citizen and expert survey respondents in industrial and developing countries. These data are gathered from a number of survey institutes, think tanks, non-governmental organizations, international organizations, and private sector firms. The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent. The WGI are not used by the World Bank Group to allocate resources.

value: Annual

value: Detailed documentation of the WGI, interactive tools for exploring the data, and full access to the underlying source data available at www.govindicators.org. The WGI are produced by Daniel Kaufmann (Natural Resource Governance Institute and Brookings Institution) and Aart Kraay (World Bank Development Research Group).  Please cite Kaufmann, Daniel, Aart Kraay and Massimo Mastruzzi (2010).  "The Worldwide Governance Indicators:  Methodology and Analytical Issues".  World Bank Policy Research Working Paper No. 5430 (http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1682130).  The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent.


Control of Corruption: Estimate

Mauritius

iso2Code: MU

value: Upper middle income

value: IBRD

capitalCity: Port Louis

country_code: MUS

country_name: Mauritius

value: Control of Corruption: Estimate


value: World Development Indicators

Malawi

iso2Code: MW

capitalCity: Lilongwe

country_code: MWI

country_name: Malawi

value: CC BY-4.0


Control of Corruption: Estimate

Malaysia

iso2Code: MY

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

capitalCity: Kuala Lumpur

country_code: MYS

country_name: Malaysia

value: Control of Corruption captures perceptions of the extent to which public power is exercised for private gain, including both petty and grand forms of corruption, as well as "capture" of the state by elites and private interests. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5.


value: Public Sector

North America

iso2Code: XU

value: Aggregates

country_code: NAC

country_name: North America

value: Public Sector: Policy & institutions


Control of Corruption: Estimate

Namibia

value: Sub-Saharan Africa

value: Sub-Saharan Africa (excluding high income)

capitalCity: Windhoek

country_code: NAM

country_name: Namibia


New Caledonia

iso2Code: NC

value: High income

value: Not classified

capitalCity: Noum'ea

country_code: NCL

country_name: New Caledonia

value: Worldwide Governance Indicators website (https://info.worldbank.org/governance/wgi/)


Control of Corruption: Estimate

Niger

iso2Code: NE

value: Low income

value: IDA

capitalCity: Niamey

country_code: NER

country_name: Niger

value: The Worldwide Governance Indicators (WGI) are a research dataset summarizing the views on the quality of governance provided by a large number of enterprise, citizen and expert survey respondents in industrial and developing countries. These data are gathered from a number of survey institutes, think tanks, non-governmental organizations, international organizations, and private sector firms. The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent. The WGI are not used by the World Bank Group to allocate resources.

value: Annual

value: Detailed documentation of the WGI, interactive tools for exploring the data, and full access to the underlying source data available at www.govindicators.org. The WGI are produced by Daniel Kaufmann (Natural Resource Governance Institute and Brookings Institution) and Aart Kraay (World Bank Development Research Group).  Please cite Kaufmann, Daniel, Aart Kraay and Massimo Mastruzzi (2010).  "The Worldwide Governance Indicators:  Methodology and Analytical Issues".  World Bank Policy Research Working Paper No. 5430 (http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1682130).  The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent.


value: World Development Indicators

Nigeria

iso2Code: NG

iso2code: XN

value: Lower middle income

iso2code: XH

value: Blend

capitalCity: Abuja

country_code: NGA

country_name: Nigeria

value: Control of Corruption: Estimate

value: CC BY-4.0


Control of Corruption: Estimate

value: Public Sector

Nicaragua

iso2Code: NI

iso2code: ZJ

value: Latin America & Caribbean

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

capitalCity: Managua

country_code: NIC

country_name: Nicaragua

value: Control of Corruption captures perceptions of the extent to which public power is exercised for private gain, including both petty and grand forms of corruption, as well as "capture" of the state by elites and private interests. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5.


Netherlands

iso2Code: NL

value: Europe & Central Asia

iso2code: XD

value: High income

iso2code: XX

capitalCity: Amsterdam

country_code: NLD

country_name: Netherlands

value: Public Sector: Policy & institutions


Control of Corruption: Estimate

Norway

iso2Code: NO

value: Not classified

capitalCity: Oslo

country_code: NOR

country_name: Norway

value: Worldwide Governance Indicators website (https://info.worldbank.org/governance/wgi/)


Nepal

iso2Code: NP

value: South Asia

iso2code: XI

value: IDA

capitalCity: Kathmandu

country_code: NPL

country_name: Nepal

value: The Worldwide Governance Indicators (WGI) are a research dataset summarizing the views on the quality of governance provided by a large number of enterprise, citizen and expert survey respondents in industrial and developing countries. These data are gathered from a number of survey institutes, think tanks, non-governmental organizations, international organizations, and private sector firms. The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent. The WGI are not used by the World Bank Group to allocate resources.


Control of Corruption: Estimate

value: World Development Indicators

Nauru

iso2Code: NR

value: East Asia & Pacific

iso2code: XF

value: IBRD

capitalCity: Yaren District

country_code: NRU

country_name: Nauru

value: Annual

value: Detailed documentation of the WGI, interactive tools for exploring the data, and full access to the underlying source data available at www.govindicators.org. The WGI are produced by Daniel Kaufmann (Natural Resource Governance Institute and Brookings Institution) and Aart Kraay (World Bank Development Research Group).  Please cite Kaufmann, Daniel, Aart Kraay and Massimo Mastruzzi (2010).  "The Worldwide Governance Indicators:  Methodology and Analytical Issues".  World Bank Policy Research Working Paper No. 5430 (http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1682130).  The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent.


value: Public Sector

New Zealand

iso2Code: NZ

capitalCity: Wellington

country_code: NZL

country_name: New Zealand

value: Control of Corruption: Estimate

value: CC BY-4.0


Control of Corruption: Estimate

OECD members

iso2Code: OE

value: Aggregates

country_code: OED

country_name: OECD members

value: Control of Corruption captures perceptions of the extent to which public power is exercised for private gain, including both petty and grand forms of corruption, as well as "capture" of the state by elites and private interests. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5.


Oman

iso2Code: OM

iso2code: ZQ

value: Middle East & North Africa

value: High income

capitalCity: Muscat

country_code: OMN

country_name: Oman


Control of Corruption: Estimate

country_code: OSS

country_name: Other small states

value: Public Sector: Policy & institutions


Pakistan

iso2Code: PK

iso2code: XN

value: Lower middle income

value: Blend

capitalCity: Islamabad

country_code: PAK

country_name: Pakistan

value: Worldwide Governance Indicators website (https://info.worldbank.org/governance/wgi/)


Control of Corruption: Estimate

Panama

iso2Code: PA

value: Latin America & Caribbean

capitalCity: Panama City

country_code: PAN

country_name: Panama

value: The Worldwide Governance Indicators (WGI) are a research dataset summarizing the views on the quality of governance provided by a large number of enterprise, citizen and expert survey respondents in industrial and developing countries. These data are gathered from a number of survey institutes, think tanks, non-governmental organizations, international organizations, and private sector firms. The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent. The WGI are not used by the World Bank Group to allocate resources.


value: World Development Indicators

Peru

iso2Code: PE

iso2code: ZJ

value: Latin America & Caribbean (excluding high income)

iso2code: XT

value: Upper middle income

capitalCity: Lima

country_code: PER

country_name: Peru


Control of Corruption: Estimate

Philippines

iso2Code: PH

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

value: IBRD

capitalCity: Manila

country_code: PHL

country_name: Philippines

value: Annual

value: Detailed documentation of the WGI, interactive tools for exploring the data, and full access to the underlying source data available at www.govindicators.org. The WGI are produced by Daniel Kaufmann (Natural Resource Governance Institute and Brookings Institution) and Aart Kraay (World Bank Development Research Group).  Please cite Kaufmann, Daniel, Aart Kraay and Massimo Mastruzzi (2010).  "The Worldwide Governance Indicators:  Methodology and Analytical Issues".  World Bank Policy Research Working Paper No. 5430 (http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1682130).  The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent.


value: Public Sector

Palau

iso2Code: PW

capitalCity: Koror

country_code: PLW

country_name: Palau

value: Control of Corruption: Estimate

value: CC BY-4.0

value: Control of Corruption captures perceptions of the extent to which public power is exercised for private gain, including both petty and grand forms of corruption, as well as "capture" of the state by elites and private interests. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5.


Control of Corruption: Estimate

Papua New Guinea

iso2Code: PG

value: Lower middle income

iso2code: XH

capitalCity: Port Moresby

country_code: PNG

country_name: Papua New Guinea

value: Public Sector: Policy & institutions


Poland

iso2Code: PL

value: Europe & Central Asia

iso2code: XD

value: High income

capitalCity: Warsaw

country_code: POL

country_name: Poland

value: Worldwide Governance Indicators website (https://info.worldbank.org/governance/wgi/)


Control of Corruption: Estimate

value: World Development Indicators

Pre-demographic dividend

value: Aggregates

country_code: PRE

country_name: Pre-demographic dividend

value: The Worldwide Governance Indicators (WGI) are a research dataset summarizing the views on the quality of governance provided by a large number of enterprise, citizen and expert survey respondents in industrial and developing countries. These data are gathered from a number of survey institutes, think tanks, non-governmental organizations, international organizations, and private sector firms. The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent. The WGI are not used by the World Bank Group to allocate resources.


Puerto Rico

iso2Code: PR

value: Latin America & Caribbean

iso2code: XX

value: Not classified

capitalCity: San Juan

country_code: PRI

country_name: Puerto Rico


Control of Corruption: Estimate

Korea, Dem. People's Rep.

iso2Code: KP

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

iso2code: XM

value: Low income

capitalCity: Pyongyang

country_code: PRK

country_name: Korea, Dem. People's Rep.


value: Public Sector

Portugal

iso2Code: PT

capitalCity: Lisbon

country_code: PRT

country_name: Portugal

value: Annual

value: Detailed documentation of the WGI, interactive tools for exploring the data, and full access to the underlying source data available at www.govindicators.org. The WGI are produced by Daniel Kaufmann (Natural Resource Governance Institute and Brookings Institution) and Aart Kraay (World Bank Development Research Group).  Please cite Kaufmann, Daniel, Aart Kraay and Massimo Mastruzzi (2010).  "The Worldwide Governance Indicators:  Methodology and Analytical Issues".  World Bank Policy Research Working Paper No. 5430 (http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1682130).  The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent.


Control of Corruption: Estimate

Paraguay

iso2Code: PY

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

value: Upper middle income

iso2code: XF

value: IBRD

capitalCity: Asuncion

country_code: PRY

country_name: Paraguay

value: Control of Corruption: Estimate

value: CC BY-4.0

value: Control of Corruption captures perceptions of the extent to which public power is exercised for private gain, including both petty and grand forms of corruption, as well as "capture" of the state by elites and private interests. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5.


value: World Development Indicators

West Bank and Gaza

iso2Code: PS

iso2code: ZQ

value: Middle East & North Africa

iso2code: XQ

value: Middle East & North Africa (excluding high income)

country_code: PSE

country_name: West Bank and Gaza

value: Worldwide Governance Indicators website (https://info.worldbank.org/governance/wgi/)

value: Public Sector: Policy & institutions


Control of Corruption: Estimate

Pacific island small states

value: Aggregates

country_code: PSS

country_name: Pacific island small states

value: The Worldwide Governance Indicators (WGI) are a research dataset summarizing the views on the quality of governance provided by a large number of enterprise, citizen and expert survey respondents in industrial and developing countries. These data are gathered from a number of survey institutes, think tanks, non-governmental organizations, international organizations, and private sector firms. The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent. The WGI are not used by the World Bank Group to allocate resources.


country_code: PST

country_name: Post-demographic dividend


French Polynesia

iso2Code: PF

value: East Asia & Pacific

value: High income

value: Not classified

capitalCity: Papeete

country_code: PYF

country_name: French Polynesia


Control of Corruption: Estimate

value: Public Sector

Qatar

iso2Code: QA

capitalCity: Doha

country_code: QAT

country_name: Qatar

value: Annual

value: Detailed documentation of the WGI, interactive tools for exploring the data, and full access to the underlying source data available at www.govindicators.org. The WGI are produced by Daniel Kaufmann (Natural Resource Governance Institute and Brookings Institution) and Aart Kraay (World Bank Development Research Group).  Please cite Kaufmann, Daniel, Aart Kraay and Massimo Mastruzzi (2010).  "The Worldwide Governance Indicators:  Methodology and Analytical Issues".  World Bank Policy Research Working Paper No. 5430 (http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1682130).  The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent.


Romania

iso2Code: RO

value: Europe & Central Asia

value: IBRD

capitalCity: Bucharest

country_code: ROU

country_name: Romania


Control of Corruption: Estimate

Russian Federation

iso2Code: RU

value: Europe & Central Asia (excluding high income)

iso2code: XT

value: Upper middle income

capitalCity: Moscow

country_code: RUS

country_name: Russian Federation

value: Control of Corruption: Estimate

value: CC BY-4.0


value: World Development Indicators

Rwanda

iso2Code: RW

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

value: Low income

iso2code: XI

value: IDA

capitalCity: Kigali

country_code: RWA

country_name: Rwanda

value: Control of Corruption captures perceptions of the extent to which public power is exercised for private gain, including both petty and grand forms of corruption, as well as "capture" of the state by elites and private interests. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5.


Control of Corruption: Estimate

South Asia

value: Aggregates

country_code: SAS

country_name: South Asia

value: Worldwide Governance Indicators website (https://info.worldbank.org/governance/wgi/)

value: Public Sector: Policy & institutions

value: The Worldwide Governance Indicators (WGI) are a research dataset summarizing the views on the quality of governance provided by a large number of enterprise, citizen and expert survey respondents in industrial and developing countries. These data are gathered from a number of survey institutes, think tanks, non-governmental organizations, international organizations, and private sector firms. The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent. The WGI are not used by the World Bank Group to allocate resources.


value: Public Sector

Saudi Arabia

iso2Code: SA

value: Middle East & North Africa

iso2code: XD

value: High income

iso2code: XX

value: Not classified

capitalCity: Riyadh

country_code: SAU

country_name: Saudi Arabia

value: Annual

value: Detailed documentation of the WGI, interactive tools for exploring the data, and full access to the underlying source data available at www.govindicators.org. The WGI are produced by Daniel Kaufmann (Natural Resource Governance Institute and Brookings Institution) and Aart Kraay (World Bank Development Research Group).  Please cite Kaufmann, Daniel, Aart Kraay and Massimo Mastruzzi (2010).  "The Worldwide Governance Indicators:  Methodology and Analytical Issues".  World Bank Policy Research Working Paper No. 5430 (http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1682130).  The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent.


Control of Corruption: Estimate

Sudan

iso2Code: SD

iso2code: XM

capitalCity: Khartoum

country_code: SDN

country_name: Sudan

value: Control of Corruption: Estimate

value: CC BY-4.0


value: World Development Indicators

Senegal

iso2Code: SN

value: Sub-Saharan Africa

iso2code: XN

value: Lower middle income

capitalCity: Dakar

country_code: SEN

country_name: Senegal


Control of Corruption: Estimate

Singapore

iso2Code: SG

value: East Asia & Pacific

capitalCity: Singapore

country_code: SGP

country_name: Singapore


Solomon Islands

iso2Code: SB

value: East Asia & Pacific (excluding high income)

value: IDA

capitalCity: Honiara

country_code: SLB

country_name: Solomon Islands

value: Control of Corruption captures perceptions of the extent to which public power is exercised for private gain, including both petty and grand forms of corruption, as well as "capture" of the state by elites and private interests. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5.


Control of Corruption: Estimate

Sierra Leone

iso2Code: SL

value: Sub-Saharan Africa (excluding high income)

value: Low income

capitalCity: Freetown

country_code: SLE

country_name: Sierra Leone

value: Worldwide Governance Indicators website (https://info.worldbank.org/governance/wgi/)

value: Public Sector: Policy & institutions


value: Public Sector

El Salvador

iso2Code: SV

iso2code: ZJ

value: Latin America & Caribbean

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

value: Upper middle income

iso2code: XF

value: IBRD

capitalCity: San Salvador

country_code: SLV

country_name: El Salvador

value: The Worldwide Governance Indicators (WGI) are a research dataset summarizing the views on the quality of governance provided by a large number of enterprise, citizen and expert survey respondents in industrial and developing countries. These data are gathered from a number of survey institutes, think tanks, non-governmental organizations, international organizations, and private sector firms. The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent. The WGI are not used by the World Bank Group to allocate resources.


Control of Corruption: Estimate

value: World Development Indicators

San Marino

iso2Code: SM

value: Europe & Central Asia

value: High income

value: Not classified

capitalCity: San Marino

country_code: SMR

country_name: San Marino

value: Control of Corruption: Estimate

value: CC BY-4.0

value: Annual

value: Detailed documentation of the WGI, interactive tools for exploring the data, and full access to the underlying source data available at www.govindicators.org. The WGI are produced by Daniel Kaufmann (Natural Resource Governance Institute and Brookings Institution) and Aart Kraay (World Bank Development Research Group).  Please cite Kaufmann, Daniel, Aart Kraay and Massimo Mastruzzi (2010).  "The Worldwide Governance Indicators:  Methodology and Analytical Issues".  World Bank Policy Research Working Paper No. 5430 (http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1682130).  The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent.


Somalia

iso2Code: SO

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

value: Low income

value: IDA

capitalCity: Mogadishu

country_code: SOM

country_name: Somalia

value: Control of Corruption captures perceptions of the extent to which public power is exercised for private gain, including both petty and grand forms of corruption, as well as "capture" of the state by elites and private interests. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5.


Control of Corruption: Estimate

value: Public Sector

Serbia

iso2Code: RS

value: Europe & Central Asia (excluding high income)

iso2code: XT

capitalCity: Belgrade

country_code: SRB

country_name: Serbia

value: Worldwide Governance Indicators website (https://info.worldbank.org/governance/wgi/)

value: Public Sector: Policy & institutions


value: World Development Indicators

name: Sub-Saharan Africa (excluding high income)

value: Aggregates

country_code: SSA

value: The Worldwide Governance Indicators (WGI) are a research dataset summarizing the views on the quality of governance provided by a large number of enterprise, citizen and expert survey respondents in industrial and developing countries. These data are gathered from a number of survey institutes, think tanks, non-governmental organizations, international organizations, and private sector firms. The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent. The WGI are not used by the World Bank Group to allocate resources.


South Sudan

iso2Code: SS

iso2code: XI

capitalCity: Juba

country_code: SSD

country_name: South Sudan


Control of Corruption: Estimate

country_code: SSF

country_name: Sub-Saharan Africa


country_code: SST

country_name: Small states


Sao Tome and Principe

iso2Code: ST

value: Lower middle income

capitalCity: Sao Tome

country_code: STP

country_name: São Tomé and Principe


Control of Corruption: Estimate

Suriname

iso2Code: SR

value: Latin America & Caribbean

value: Latin America & Caribbean (excluding high income)

value: Upper middle income

value: IBRD

capitalCity: Paramaribo

country_code: SUR

country_name: Suriname

value: Control of Corruption: Estimate


Slovak Republic

iso2Code: SK

value: Europe & Central Asia

iso2code: XD

value: High income

iso2code: XX

value: Not classified

capitalCity: Bratislava

country_code: SVK

country_name: Slovak Republic

value: CC BY-4.0

value: Annual

value: Detailed documentation of the WGI, interactive tools for exploring the data, and full access to the underlying source data available at www.govindicators.org. The WGI are produced by Daniel Kaufmann (Natural Resource Governance Institute and Brookings Institution) and Aart Kraay (World Bank Development Research Group).  Please cite Kaufmann, Daniel, Aart Kraay and Massimo Mastruzzi (2010).  "The Worldwide Governance Indicators:  Methodology and Analytical Issues".  World Bank Policy Research Working Paper No. 5430 (http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1682130).  The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent.


Control of Corruption: Estimate

value: Public Sector

Slovenia

iso2Code: SI

capitalCity: Ljubljana

country_code: SVN

country_name: Slovenia

value: Control of Corruption captures perceptions of the extent to which public power is exercised for private gain, including both petty and grand forms of corruption, as well as "capture" of the state by elites and private interests. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5.

value: Worldwide Governance Indicators website (https://info.worldbank.org/governance/wgi/)


value: World Development Indicators

Sweden

iso2Code: SE

capitalCity: Stockholm

country_code: SWE

country_name: Sweden

value: Public Sector: Policy & institutions


Control of Corruption: Estimate

Eswatini

iso2Code: SZ

value: Sub-Saharan Africa

value: Sub-Saharan Africa (excluding high income)

iso2code: XN

value: Lower middle income

capitalCity: Mbabane

country_code: SWZ

country_name: Eswatini

value: The Worldwide Governance Indicators (WGI) are a research dataset summarizing the views on the quality of governance provided by a large number of enterprise, citizen and expert survey respondents in industrial and developing countries. These data are gathered from a number of survey institutes, think tanks, non-governmental organizations, international organizations, and private sector firms. The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent. The WGI are not used by the World Bank Group to allocate resources.


Sint Maarten (Dutch part)

iso2Code: SX

iso2code: ZJ

value: Latin America & Caribbean

capitalCity: Philipsburg

country_code: SXM

country_name: Sint Maarten (Dutch part)


Control of Corruption: Estimate

Seychelles

iso2Code: SC

iso2code: ZG

iso2code: XF

value: IBRD

capitalCity: Victoria

country_code: SYC

country_name: Seychelles

value: Control of Corruption: Estimate


Syrian Arab Republic

iso2Code: SY

iso2code: ZQ

value: Middle East & North Africa

iso2code: XQ

value: Middle East & North Africa (excluding high income)

iso2code: XM

value: Low income

value: IDA

capitalCity: Damascus

country_code: SYR

country_name: Syrian Arab Republic


Control of Corruption: Estimate

Turks and Caicos Islands

iso2Code: TC

value: High income

value: Not classified

capitalCity: Grand Turk

country_code: TCA

country_name: Turks and Caicos Islands

value: CC BY-4.0

value: Annual

value: Detailed documentation of the WGI, interactive tools for exploring the data, and full access to the underlying source data available at www.govindicators.org. The WGI are produced by Daniel Kaufmann (Natural Resource Governance Institute and Brookings Institution) and Aart Kraay (World Bank Development Research Group).  Please cite Kaufmann, Daniel, Aart Kraay and Massimo Mastruzzi (2010).  "The Worldwide Governance Indicators:  Methodology and Analytical Issues".  World Bank Policy Research Working Paper No. 5430 (http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1682130).  The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent.


value: World Development Indicators

value: Public Sector

Chad

iso2Code: TD

iso2code: ZF

iso2code: XI

capitalCity: N'Djamena

country_code: TCD

country_name: Chad

value: Control of Corruption captures perceptions of the extent to which public power is exercised for private gain, including both petty and grand forms of corruption, as well as "capture" of the state by elites and private interests. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5.

value: Worldwide Governance Indicators website (https://info.worldbank.org/governance/wgi/)

value: Public Sector: Policy & institutions


Control of Corruption: Estimate

name: East Asia & Pacific (IDA & IBRD countries)

value: Aggregates

country_code: TEA

value: The Worldwide Governance Indicators (WGI) are a research dataset summarizing the views on the quality of governance provided by a large number of enterprise, citizen and expert survey respondents in industrial and developing countries. These data are gathered from a number of survey institutes, think tanks, non-governmental organizations, international organizations, and private sector firms. The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent. The WGI are not used by the World Bank Group to allocate resources.


name: Europe & Central Asia (IDA & IBRD countries)

country_code: TEC

value: Control of Corruption: Estimate


Togo

iso2Code: TG

value: Sub-Saharan Africa

value: Sub-Saharan Africa (excluding high income)

capitalCity: Lome

country_code: TGO

country_name: Togo


Control of Corruption: Estimate

Thailand

iso2Code: TH

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

iso2code: XT

value: Upper middle income

value: IBRD

capitalCity: Bangkok

country_code: THA

country_name: Thailand


Tajikistan

iso2Code: TJ

value: Europe & Central Asia

value: Europe & Central Asia (excluding high income)

iso2code: XN

value: Lower middle income

value: IDA

capitalCity: Dushanbe

country_code: TJK

country_name: Tajikistan

value: CC BY-4.0


Control of Corruption: Estimate

value: World Development Indicators

value: Public Sector

Turkmenistan

iso2Code: TM

capitalCity: Ashgabat

country_code: TKM

country_name: Turkmenistan

value: Control of Corruption captures perceptions of the extent to which public power is exercised for private gain, including both petty and grand forms of corruption, as well as "capture" of the state by elites and private interests. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5.

value: Annual

value: Detailed documentation of the WGI, interactive tools for exploring the data, and full access to the underlying source data available at www.govindicators.org. The WGI are produced by Daniel Kaufmann (Natural Resource Governance Institute and Brookings Institution) and Aart Kraay (World Bank Development Research Group).  Please cite Kaufmann, Daniel, Aart Kraay and Massimo Mastruzzi (2010).  "The Worldwide Governance Indicators:  Methodology and Analytical Issues".  World Bank Policy Research Working Paper No. 5430 (http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1682130).  The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent.


name: Latin America & the Caribbean (IDA & IBRD countries)

value: Aggregates

country_code: TLA

value: Control of Corruption: Estimate

value: Worldwide Governance Indicators website (https://info.worldbank.org/governance/wgi/)

value: Public Sector: Policy & institutions

value: The Worldwide Governance Indicators (WGI) are a research dataset summarizing the views on the quality of governance provided by a large number of enterprise, citizen and expert survey respondents in industrial and developing countries. These data are gathered from a number of survey institutes, think tanks, non-governmental organizations, international organizations, and private sector firms. The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent. The WGI are not used by the World Bank Group to allocate resources.


Timor-Leste

iso2Code: TL

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

iso2code: XH

value: Blend

capitalCity: Dili

country_code: TLS

country_name: Timor-Leste


Control of Corruption: Estimate

name: Middle East & North Africa (IDA & IBRD countries)

country_code: TMN


Tonga

iso2Code: TO

value: Upper middle income

capitalCity: Nuku'alofa

country_code: TON

country_name: Tonga


Control of Corruption: Estimate

country_code: TSA

country_name: South Asia (IDA & IBRD)


name: Sub-Saharan Africa (IDA & IBRD countries)

country_code: TSS


Trinidad and Tobago

iso2Code: TT

iso2code: ZJ

value: Latin America & Caribbean

iso2code: XD

value: High income

iso2code: XF

value: IBRD

capitalCity: Port-of-Spain

country_code: TTO

country_name: Trinidad and Tobago


Control of Corruption: Estimate

value: World Development Indicators

Tunisia

iso2Code: TN

iso2code: ZQ

value: Middle East & North Africa

iso2code: XQ

value: Middle East & North Africa (excluding high income)

value: Lower middle income

capitalCity: Tunis

country_code: TUN

country_name: Tunisia

value: CC BY-4.0


value: Public Sector

Turkiye

iso2Code: TR

value: Europe & Central Asia

value: Europe & Central Asia (excluding high income)

capitalCity: Ankara

country_code: TUR

country_name: Turkey

value: Control of Corruption captures perceptions of the extent to which public power is exercised for private gain, including both petty and grand forms of corruption, as well as "capture" of the state by elites and private interests. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5.

value: Annual

value: Detailed documentation of the WGI, interactive tools for exploring the data, and full access to the underlying source data available at www.govindicators.org. The WGI are produced by Daniel Kaufmann (Natural Resource Governance Institute and Brookings Institution) and Aart Kraay (World Bank Development Research Group).  Please cite Kaufmann, Daniel, Aart Kraay and Massimo Mastruzzi (2010).  "The Worldwide Governance Indicators:  Methodology and Analytical Issues".  World Bank Policy Research Working Paper No. 5430 (http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1682130).  The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent.


Control of Corruption: Estimate

Tuvalu

iso2Code: TV

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

iso2code: XI

value: IDA

capitalCity: Funafuti

country_code: TUV

country_name: Tuvalu

value: Control of Corruption: Estimate

value: Worldwide Governance Indicators website (https://info.worldbank.org/governance/wgi/)

value: Public Sector: Policy & institutions

value: The Worldwide Governance Indicators (WGI) are a research dataset summarizing the views on the quality of governance provided by a large number of enterprise, citizen and expert survey respondents in industrial and developing countries. These data are gathered from a number of survey institutes, think tanks, non-governmental organizations, international organizations, and private sector firms. The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent. The WGI are not used by the World Bank Group to allocate resources.


value: World Development Indicators

Tanzania

iso2Code: TZ

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

capitalCity: Dodoma

country_code: TZA

country_name: Tanzania


Control of Corruption: Estimate

Uganda

iso2Code: UG

iso2code: XM

value: Low income

capitalCity: Kampala

country_code: UGA

country_name: Uganda

value: CC BY-4.0


value: Public Sector

Ukraine

iso2Code: UA

value: Europe & Central Asia

iso2code: XN

value: Lower middle income

value: IBRD

capitalCity: Kiev

country_code: UKR

country_name: Ukraine


Control of Corruption: Estimate

Upper middle income

iso2Code: XT

value: Aggregates

country_code: UMC

country_name: Upper middle income

value: Control of Corruption captures perceptions of the extent to which public power is exercised for private gain, including both petty and grand forms of corruption, as well as "capture" of the state by elites and private interests. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5.

value: Annual

value: Detailed documentation of the WGI, interactive tools for exploring the data, and full access to the underlying source data available at www.govindicators.org. The WGI are produced by Daniel Kaufmann (Natural Resource Governance Institute and Brookings Institution) and Aart Kraay (World Bank Development Research Group).  Please cite Kaufmann, Daniel, Aart Kraay and Massimo Mastruzzi (2010).  "The Worldwide Governance Indicators:  Methodology and Analytical Issues".  World Bank Policy Research Working Paper No. 5430 (http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1682130).  The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent.


Uruguay

iso2Code: UY

iso2code: ZJ

value: Latin America & Caribbean

value: High income

capitalCity: Montevideo

country_code: URY

country_name: Uruguay

value: Control of Corruption: Estimate


Control of Corruption: Estimate

United States

iso2Code: US

iso2code: XU

value: North America

iso2code: XD

iso2code: XX

value: Not classified

capitalCity: Washington D.C.

country_code: USA

country_name: United States

value: Worldwide Governance Indicators website (https://info.worldbank.org/governance/wgi/)

value: Public Sector: Policy & institutions

value: The Worldwide Governance Indicators (WGI) are a research dataset summarizing the views on the quality of governance provided by a large number of enterprise, citizen and expert survey respondents in industrial and developing countries. These data are gathered from a number of survey institutes, think tanks, non-governmental organizations, international organizations, and private sector firms. The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent. The WGI are not used by the World Bank Group to allocate resources.


value: World Development Indicators

Uzbekistan

iso2Code: UZ

value: Europe & Central Asia (excluding high income)

iso2code: XH

value: Blend

capitalCity: Tashkent

country_code: UZB

country_name: Uzbekistan

value: CC BY-4.0


Control of Corruption: Estimate

value: Public Sector

St. Vincent and the Grenadines

iso2Code: VC

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

value: Upper middle income

capitalCity: Kingstown

country_code: VCT

country_name: St. Vincent and the Grenadines


Venezuela, RB

iso2Code: VE

iso2code: XY

iso2code: XF

value: IBRD

capitalCity: Caracas

country_code: VEN

country_name: Venezuela, RB

value: Control of Corruption captures perceptions of the extent to which public power is exercised for private gain, including both petty and grand forms of corruption, as well as "capture" of the state by elites and private interests. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5.

value: Annual


Control of Corruption: Estimate

British Virgin Islands

iso2Code: VG

value: Latin America & Caribbean

value: High income

capitalCity: Road Town

country_code: VGB

country_name: British Virgin Islands

value: Detailed documentation of the WGI, interactive tools for exploring the data, and full access to the underlying source data available at www.govindicators.org. The WGI are produced by Daniel Kaufmann (Natural Resource Governance Institute and Brookings Institution) and Aart Kraay (World Bank Development Research Group).  Please cite Kaufmann, Daniel, Aart Kraay and Massimo Mastruzzi (2010).  "The Worldwide Governance Indicators:  Methodology and Analytical Issues".  World Bank Policy Research Working Paper No. 5430 (http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1682130).  The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent.


Virgin Islands (U.S.)

iso2Code: VI

value: Not classified

capitalCity: Charlotte Amalie

country_code: VIR

country_name: Virgin Islands (U.S.)

value: Control of Corruption: Estimate


Control of Corruption: Estimate

Viet Nam

iso2Code: VN

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

iso2code: XN

value: Lower middle income

capitalCity: Hanoi

country_code: VNM

country_name: Vietnam

value: Worldwide Governance Indicators website (https://info.worldbank.org/governance/wgi/)

value: Public Sector: Policy & institutions


value: World Development Indicators

Vanuatu

iso2Code: VU

iso2code: XI

value: IDA

capitalCity: Port-Vila

country_code: VUT

country_name: Vanuatu

value: CC BY-4.0

value: The Worldwide Governance Indicators (WGI) are a research dataset summarizing the views on the quality of governance provided by a large number of enterprise, citizen and expert survey respondents in industrial and developing countries. These data are gathered from a number of survey institutes, think tanks, non-governmental organizations, international organizations, and private sector firms. The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent. The WGI are not used by the World Bank Group to allocate resources.


Control of Corruption: Estimate

value: Public Sector

World

value: Aggregates

country_code: WLD

country_name: World


Samoa

iso2Code: WS

capitalCity: Apia

country_code: WSM

country_name: Samoa

value: Control of Corruption captures perceptions of the extent to which public power is exercised for private gain, including both petty and grand forms of corruption, as well as "capture" of the state by elites and private interests. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5.

value: Annual


Control of Corruption: Estimate

Kosovo

iso2Code: XK

value: Europe & Central Asia

value: Europe & Central Asia (excluding high income)

iso2code: XT

value: Upper middle income

capitalCity: Pristina

country_code: XKX

country_name: Kosovo


Yemen, Rep.

iso2Code: YE

iso2code: ZQ

value: Middle East & North Africa

iso2code: XQ

value: Middle East & North Africa (excluding high income)

iso2code: XM

value: Low income

capitalCity: Sana'a

country_code: YEM

country_name: Yemen, Rep.

value: Control of Corruption: Estimate

value: Detailed documentation of the WGI, interactive tools for exploring the data, and full access to the underlying source data available at www.govindicators.org. The WGI are produced by Daniel Kaufmann (Natural Resource Governance Institute and Brookings Institution) and Aart Kraay (World Bank Development Research Group).  Please cite Kaufmann, Daniel, Aart Kraay and Massimo Mastruzzi (2010).  "The Worldwide Governance Indicators:  Methodology and Analytical Issues".  World Bank Policy Research Working Paper No. 5430 (http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1682130).  The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent.


Control of Corruption: Estimate

South Africa

iso2Code: ZA

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

value: IBRD

capitalCity: Pretoria

country_code: ZAF

country_name: South Africa

value: Worldwide Governance Indicators website (https://info.worldbank.org/governance/wgi/)

value: Public Sector: Policy & institutions


value: World Development Indicators

value: Public Sector

Zambia

iso2Code: ZM

value: Lower middle income

value: IDA

capitalCity: Lusaka

country_code: ZMB

country_name: Zambia

value: CC BY-4.0

value: The Worldwide Governance Indicators (WGI) are a research dataset summarizing the views on the quality of governance provided by a large number of enterprise, citizen and expert survey respondents in industrial and developing countries. These data are gathered from a number of survey institutes, think tanks, non-governmental organizations, international organizations, and private sector firms. The WGI do not reflect the official views of the Natural Resource Governance Institute, the Brookings Institution, the World Bank, its Executive Directors, or the countries they represent. The WGI are not used by the World Bank Group to allocate resources.


Control of Corruption: Estimate

Zimbabwe

iso2Code: ZW

iso2code: XH

value: Blend

capitalCity: Harare

country_code: ZWE

country_name: Zimbabwe

value: Control of Corruption captures perceptions of the extent to which public power is exercised for private gain, including both petty and grand forms of corruption, as well as "capture" of the state by elites and private interests. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5.

value: Annual


name: Food GHG emissions by system stage (Share of total) - Consumption

value: Country Climate and Development Report (CCDR)

sourceNone: Food GHG emissions disaggregated by system stage are generated from EDGAR-FOOD, a global emission inventory of GHGs from the food systems. EDGAR-FOOD has been developed to aid the understanding of the activities underlying the energy demand and use, agriculture and land use change emissions associated with the production, distribution, consumption and disposal of food through the various stages and sectors of the composite global food system. These data were complemented with data from the FAOSTAT database on GHG emissions from land use related to agriculture (FAO, 2020). EDGAR-FOOD represents the first database consistently covering each stage of the food chain for all countries with yearly frequency for the period 1990-2015. Details regarding the methodology applied are available in Crippa et al. (2021).

Aruba

iso2Code: AW

iso2code: ZJ

value: Latin America & Caribbean

iso2code: XD

value: High income

iso2code: XX

value: Not classified

capitalCity: Oranjestad

country_code: ABW

country_name: Aruba

value: Crippa, M., Solazzo, E., Guizzardi, D., Monforti-Ferrario, F., Tubiello, F.N. and Leip, A. EDGAR-FOOD data. Figshare, doi:10.6084/m9.figshare.13476666 (2021).

value: Mitigation

value: % of total


Afghanistan

iso2Code: AF

value: South Asia

value: Low income

iso2code: XI

capitalCity: Kabul

country_code: AFG

country_name: Afghanistan

value: Food GHG emissions by system stage (Share of total) - Consumption

value: Food GHG emissions disaggregated by system stage are generated from EDGAR-FOOD, a global emission inventory of GHGs from the food systems. EDGAR-FOOD has been developed to aid the understanding of the activities underlying the energy demand and use, agriculture and land use change emissions associated with the production, distribution, consumption and disposal of food through the various stages and sectors of the composite global food system. These data were complemented with data from the FAOSTAT database on GHG emissions from land use related to agriculture (FAO, 2020). EDGAR-FOOD represents the first database consistently covering each stage of the food chain for all countries with yearly frequency for the period 1990-2015. Details regarding the methodology applied are available in Crippa et al. (2021).


Angola

iso2Code: AO

value: Sub-Saharan Africa

value: Sub-Saharan Africa (excluding high income)

iso2code: XN

value: Lower middle income

iso2code: XF

value: IBRD

capitalCity: Luanda

country_code: AGO

country_name: Angola


Albania

iso2Code: AL

value: Europe & Central Asia

value: Europe & Central Asia (excluding high income)

iso2code: XT

value: Upper middle income

capitalCity: Tirane

country_code: ALB

country_name: Albania

value: CC BY-4.0


value: Country Climate and Development Report (CCDR)

Andorra

iso2Code: AD

value: High income

capitalCity: Andorra la Vella

country_code: AND

country_name: Andorra


United Arab Emirates

iso2Code: AE

iso2code: ZQ

value: Middle East & North Africa

value: Not classified

capitalCity: Abu Dhabi

country_code: ARE

country_name: United Arab Emirates

value: Crippa, M., Solazzo, E., Guizzardi, D., Monforti-Ferrario, F., Tubiello, F.N. and Leip, A. EDGAR-FOOD data. Figshare, doi:10.6084/m9.figshare.13476666 (2021).


Argentina

iso2Code: AR

value: Latin America & Caribbean

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

capitalCity: Buenos Aires

country_code: ARG

country_name: Argentina

value: Mitigation

value: % of total


Armenia

iso2Code: AM

capitalCity: Yerevan

country_code: ARM

country_name: Armenia

value: Food GHG emissions by system stage (Share of total) - Consumption

value: Food GHG emissions disaggregated by system stage are generated from EDGAR-FOOD, a global emission inventory of GHGs from the food systems. EDGAR-FOOD has been developed to aid the understanding of the activities underlying the energy demand and use, agriculture and land use change emissions associated with the production, distribution, consumption and disposal of food through the various stages and sectors of the composite global food system. These data were complemented with data from the FAOSTAT database on GHG emissions from land use related to agriculture (FAO, 2020). EDGAR-FOOD represents the first database consistently covering each stage of the food chain for all countries with yearly frequency for the period 1990-2015. Details regarding the methodology applied are available in Crippa et al. (2021).


American Samoa

iso2Code: AS

value: East Asia & Pacific

capitalCity: Pago Pago

country_code: ASM

country_name: American Samoa


Antigua and Barbuda

iso2Code: AG

iso2code: ZJ

value: IBRD

capitalCity: Saint John's

country_code: ATG

country_name: Antigua and Barbuda


Australia

iso2Code: AU

iso2code: XD

iso2code: XX

capitalCity: Canberra

country_code: AUS

country_name: Australia


Austria

iso2Code: AT

value: Europe & Central Asia

capitalCity: Vienna

country_code: AUT

country_name: Austria


Azerbaijan

iso2Code: AZ

value: Europe & Central Asia (excluding high income)

capitalCity: Baku

country_code: AZE

country_name: Azerbaijan


Burundi

iso2Code: BI

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

iso2code: XM

value: Low income

iso2code: XI

value: IDA

capitalCity: Bujumbura

country_code: BDI

country_name: Burundi


value: Country Climate and Development Report (CCDR)

Belgium

iso2Code: BE

value: High income

capitalCity: Brussels

country_code: BEL

country_name: Belgium

value: CC BY-4.0


Benin

iso2Code: BJ

iso2code: XN

value: Lower middle income

capitalCity: Porto-Novo

country_code: BEN

country_name: Benin

value: Crippa, M., Solazzo, E., Guizzardi, D., Monforti-Ferrario, F., Tubiello, F.N. and Leip, A. EDGAR-FOOD data. Figshare, doi:10.6084/m9.figshare.13476666 (2021).


Burkina Faso

iso2Code: BF

capitalCity: Ouagadougou

country_code: BFA

country_name: Burkina Faso

value: Mitigation


Bangladesh

iso2Code: BD

value: South Asia

capitalCity: Dhaka

country_code: BGD

country_name: Bangladesh

value: % of total


Bulgaria

iso2Code: BG

iso2code: XT

value: Upper middle income

iso2code: XF

capitalCity: Sofia

country_code: BGR

country_name: Bulgaria

value: Food GHG emissions by system stage (Share of total) - Consumption

value: Food GHG emissions disaggregated by system stage are generated from EDGAR-FOOD, a global emission inventory of GHGs from the food systems. EDGAR-FOOD has been developed to aid the understanding of the activities underlying the energy demand and use, agriculture and land use change emissions associated with the production, distribution, consumption and disposal of food through the various stages and sectors of the composite global food system. These data were complemented with data from the FAOSTAT database on GHG emissions from land use related to agriculture (FAO, 2020). EDGAR-FOOD represents the first database consistently covering each stage of the food chain for all countries with yearly frequency for the period 1990-2015. Details regarding the methodology applied are available in Crippa et al. (2021).


Bahrain

iso2Code: BH

iso2code: ZQ

value: Middle East & North Africa

iso2code: XD

value: Not classified

capitalCity: Manama

country_code: BHR

country_name: Bahrain


Bahamas, The

iso2Code: BS

iso2code: ZJ

value: Latin America & Caribbean

iso2code: XX

capitalCity: Nassau

country_code: BHS

country_name: Bahamas, The


Bosnia and Herzegovina

iso2Code: BA

value: Europe & Central Asia

value: Europe & Central Asia (excluding high income)

value: IBRD

capitalCity: Sarajevo

country_code: BIH

country_name: Bosnia and Herzegovina


value: Country Climate and Development Report (CCDR)

Belarus

iso2Code: BY

capitalCity: Minsk

country_code: BLR

country_name: Belarus


Belize

iso2Code: BZ

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

capitalCity: Belmopan

country_code: BLZ

country_name: Belize


Bermuda

iso2Code: BM

iso2code: XU

value: North America

value: High income

capitalCity: Hamilton

country_code: BMU

country_name: Bermuda

value: CC BY-4.0


Bolivia

iso2Code: BO

iso2code: XN

value: Lower middle income

capitalCity: La Paz

country_code: BOL

country_name: Bolivia

value: Crippa, M., Solazzo, E., Guizzardi, D., Monforti-Ferrario, F., Tubiello, F.N. and Leip, A. EDGAR-FOOD data. Figshare, doi:10.6084/m9.figshare.13476666 (2021).

value: Mitigation


Brazil

iso2Code: BR

value: Upper middle income

capitalCity: Brasilia

country_code: BRA

country_name: Brazil

value: % of total


Barbados

iso2Code: BB

capitalCity: Bridgetown

country_code: BRB

country_name: Barbados

value: Food GHG emissions by system stage (Share of total) - Consumption

value: Food GHG emissions disaggregated by system stage are generated from EDGAR-FOOD, a global emission inventory of GHGs from the food systems. EDGAR-FOOD has been developed to aid the understanding of the activities underlying the energy demand and use, agriculture and land use change emissions associated with the production, distribution, consumption and disposal of food through the various stages and sectors of the composite global food system. These data were complemented with data from the FAOSTAT database on GHG emissions from land use related to agriculture (FAO, 2020). EDGAR-FOOD represents the first database consistently covering each stage of the food chain for all countries with yearly frequency for the period 1990-2015. Details regarding the methodology applied are available in Crippa et al. (2021).


Brunei Darussalam

iso2Code: BN

value: East Asia & Pacific

value: Not classified

capitalCity: Bandar Seri Begawan

country_code: BRN

country_name: Brunei Darussalam


Bhutan

iso2Code: BT

value: South Asia

iso2code: XI

value: IDA

capitalCity: Thimphu

country_code: BTN

country_name: Bhutan


Botswana

iso2Code: BW

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

iso2code: XT

iso2code: XF

value: IBRD

capitalCity: Gaborone

country_code: BWA

country_name: Botswana


value: Country Climate and Development Report (CCDR)

Central African Republic

iso2Code: CF

iso2code: XM

value: Low income

capitalCity: Bangui

country_code: CAF

country_name: Central African Republic


Canada

iso2Code: CA

value: North America

iso2code: XD

value: High income

iso2code: XX

capitalCity: Ottawa

country_code: CAN

country_name: Canada

value: CC BY-4.0


Switzerland

iso2Code: CH

value: Europe & Central Asia

capitalCity: Bern

country_code: CHE

country_name: Switzerland

value: Crippa, M., Solazzo, E., Guizzardi, D., Monforti-Ferrario, F., Tubiello, F.N. and Leip, A. EDGAR-FOOD data. Figshare, doi:10.6084/m9.figshare.13476666 (2021).

value: Mitigation


Channel Islands

iso2Code: JG

country_code: CHI

country_name: Channel Islands

value: Food GHG emissions by system stage (Share of total) - Consumption

value: % of total


Chile

iso2Code: CL

iso2code: ZJ

value: Latin America & Caribbean

capitalCity: Santiago

country_code: CHL

country_name: Chile

value: Food GHG emissions disaggregated by system stage are generated from EDGAR-FOOD, a global emission inventory of GHGs from the food systems. EDGAR-FOOD has been developed to aid the understanding of the activities underlying the energy demand and use, agriculture and land use change emissions associated with the production, distribution, consumption and disposal of food through the various stages and sectors of the composite global food system. These data were complemented with data from the FAOSTAT database on GHG emissions from land use related to agriculture (FAO, 2020). EDGAR-FOOD represents the first database consistently covering each stage of the food chain for all countries with yearly frequency for the period 1990-2015. Details regarding the methodology applied are available in Crippa et al. (2021).


China

iso2Code: CN

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

value: Upper middle income

capitalCity: Beijing

country_code: CHN

country_name: China


Cote d'Ivoire

iso2Code: CI

value: Sub-Saharan Africa

value: Sub-Saharan Africa (excluding high income)

iso2code: XN

value: Lower middle income

value: IDA

capitalCity: Yamoussoukro

country_code: CIV

country_name: Côte d'Ivoire


value: Country Climate and Development Report (CCDR)

Cameroon

iso2Code: CM

iso2code: XH

value: Blend

capitalCity: Yaounde

country_code: CMR

country_name: Cameroon


Congo, Dem. Rep.

iso2Code: CD

iso2code: ZG

iso2code: ZF

value: Low income

iso2code: XI

capitalCity: Kinshasa

country_code: COD

country_name: Congo, Dem. Rep.

value: CC BY-4.0


Congo, Rep.

iso2Code: CG

capitalCity: Brazzaville

country_code: COG

country_name: Congo, Rep.

value: Crippa, M., Solazzo, E., Guizzardi, D., Monforti-Ferrario, F., Tubiello, F.N. and Leip, A. EDGAR-FOOD data. Figshare, doi:10.6084/m9.figshare.13476666 (2021).


country_code: COK

country_name: Cook Islands

value: Mitigation


Colombia

iso2Code: CO

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

iso2code: XT

iso2code: XF

value: IBRD

capitalCity: Bogota

country_code: COL

country_name: Colombia

value: Food GHG emissions by system stage (Share of total) - Consumption


Comoros

iso2Code: KM

capitalCity: Moroni

country_code: COM

country_name: Comoros

value: % of total

value: Food GHG emissions disaggregated by system stage are generated from EDGAR-FOOD, a global emission inventory of GHGs from the food systems. EDGAR-FOOD has been developed to aid the understanding of the activities underlying the energy demand and use, agriculture and land use change emissions associated with the production, distribution, consumption and disposal of food through the various stages and sectors of the composite global food system. These data were complemented with data from the FAOSTAT database on GHG emissions from land use related to agriculture (FAO, 2020). EDGAR-FOOD represents the first database consistently covering each stage of the food chain for all countries with yearly frequency for the period 1990-2015. Details regarding the methodology applied are available in Crippa et al. (2021).


Cabo Verde

iso2Code: CV

capitalCity: Praia

country_code: CPV

country_name: Cabo Verde


Costa Rica

iso2Code: CR

iso2code: ZJ

value: Latin America & Caribbean

capitalCity: San Jose

country_code: CRI

country_name: Costa Rica


Cuba

iso2Code: CU

value: Upper middle income

iso2code: XX

value: Not classified

capitalCity: Havana

country_code: CUB

country_name: Cuba


Curacao

iso2Code: CW

iso2code: XD

value: High income

capitalCity: Willemstad

country_code: CUW

country_name: Curacao


Cayman Islands

iso2Code: KY

capitalCity: George Town

country_code: CYM

country_name: Cayman Islands


Cyprus

iso2Code: CY

value: Europe & Central Asia

capitalCity: Nicosia

country_code: CYP

country_name: Cyprus


Czechia

iso2Code: CZ

capitalCity: Prague

country_code: CZE

country_name: Czech Republic


Germany

iso2Code: DE

capitalCity: Berlin

country_code: DEU

country_name: Germany


Djibouti

iso2Code: DJ

iso2code: ZQ

value: Middle East & North Africa

iso2code: XQ

value: Middle East & North Africa (excluding high income)

iso2code: XN

value: Lower middle income

iso2code: XI

value: IDA

capitalCity: Djibouti

country_code: DJI

country_name: Djibouti


value: Country Climate and Development Report (CCDR)

Dominica

iso2Code: DM

iso2code: XJ

iso2code: XT

iso2code: XH

value: Blend

capitalCity: Roseau

country_code: DMA

country_name: Dominica

value: CC BY-4.0


Denmark

iso2Code: DK

capitalCity: Copenhagen

country_code: DNK

country_name: Denmark

value: Crippa, M., Solazzo, E., Guizzardi, D., Monforti-Ferrario, F., Tubiello, F.N. and Leip, A. EDGAR-FOOD data. Figshare, doi:10.6084/m9.figshare.13476666 (2021).

value: Mitigation


Dominican Republic

iso2Code: DO

iso2code: ZJ

value: Latin America & Caribbean (excluding high income)

iso2code: XF

value: IBRD

capitalCity: Santo Domingo

country_code: DOM

country_name: Dominican Republic

value: Food GHG emissions by system stage (Share of total) - Consumption


Algeria

iso2Code: DZ

capitalCity: Algiers

country_code: DZA

country_name: Algeria

value: % of total

value: Food GHG emissions disaggregated by system stage are generated from EDGAR-FOOD, a global emission inventory of GHGs from the food systems. EDGAR-FOOD has been developed to aid the understanding of the activities underlying the energy demand and use, agriculture and land use change emissions associated with the production, distribution, consumption and disposal of food through the various stages and sectors of the composite global food system. These data were complemented with data from the FAOSTAT database on GHG emissions from land use related to agriculture (FAO, 2020). EDGAR-FOOD represents the first database consistently covering each stage of the food chain for all countries with yearly frequency for the period 1990-2015. Details regarding the methodology applied are available in Crippa et al. (2021).


Ecuador

iso2Code: EC

value: Latin America & Caribbean

value: Upper middle income

capitalCity: Quito

country_code: ECU

country_name: Ecuador


Egypt, Arab Rep.

iso2Code: EG

capitalCity: Cairo

country_code: EGY

country_name: Egypt, Arab Rep.


Eritrea

iso2Code: ER

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

iso2code: XM

value: Low income

capitalCity: Asmara

country_code: ERI

country_name: Eritrea


Spain

iso2Code: ES

value: Europe & Central Asia

iso2code: XD

value: High income

iso2code: XX

value: Not classified

capitalCity: Madrid

country_code: ESP

country_name: Spain


value: Country Climate and Development Report (CCDR)

Estonia

iso2Code: EE

capitalCity: Tallinn

country_code: EST

country_name: Estonia


Ethiopia

iso2Code: ET

iso2code: XI

value: IDA

capitalCity: Addis Ababa

country_code: ETH

country_name: Ethiopia

value: CC BY-4.0


Finland

iso2Code: FI

capitalCity: Helsinki

country_code: FIN

country_name: Finland

value: Crippa, M., Solazzo, E., Guizzardi, D., Monforti-Ferrario, F., Tubiello, F.N. and Leip, A. EDGAR-FOOD data. Figshare, doi:10.6084/m9.figshare.13476666 (2021).

value: Mitigation


Fiji

iso2Code: FJ

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

iso2code: XT

iso2code: XH

value: Blend

capitalCity: Suva

country_code: FJI

country_name: Fiji


France

iso2Code: FR

capitalCity: Paris

country_code: FRA

country_name: France

value: Food GHG emissions by system stage (Share of total) - Consumption

value: % of total

value: Food GHG emissions disaggregated by system stage are generated from EDGAR-FOOD, a global emission inventory of GHGs from the food systems. EDGAR-FOOD has been developed to aid the understanding of the activities underlying the energy demand and use, agriculture and land use change emissions associated with the production, distribution, consumption and disposal of food through the various stages and sectors of the composite global food system. These data were complemented with data from the FAOSTAT database on GHG emissions from land use related to agriculture (FAO, 2020). EDGAR-FOOD represents the first database consistently covering each stage of the food chain for all countries with yearly frequency for the period 1990-2015. Details regarding the methodology applied are available in Crippa et al. (2021).


Faroe Islands

iso2Code: FO

capitalCity: Torshavn

country_code: FRO

country_name: Faroe Islands


Micronesia, Fed. Sts.

iso2Code: FM

iso2code: XN

value: Lower middle income

capitalCity: Palikir

country_code: FSM

country_name: Micronesia, Fed. Sts.


Gabon

iso2Code: GA

iso2code: ZG

value: Sub-Saharan Africa

value: Sub-Saharan Africa (excluding high income)

value: Upper middle income

iso2code: XF

value: IBRD

capitalCity: Libreville

country_code: GAB

country_name: Gabon


United Kingdom

iso2Code: GB

value: Europe & Central Asia

value: High income

value: Not classified

capitalCity: London

country_code: GBR

country_name: United Kingdom


value: Country Climate and Development Report (CCDR)

Georgia

iso2Code: GE

value: Europe & Central Asia (excluding high income)

capitalCity: Tbilisi

country_code: GEO

country_name: Georgia

value: CC BY-4.0


Ghana

iso2Code: GH

iso2code: ZF

value: IDA

capitalCity: Accra

country_code: GHA

country_name: Ghana

value: Crippa, M., Solazzo, E., Guizzardi, D., Monforti-Ferrario, F., Tubiello, F.N. and Leip, A. EDGAR-FOOD data. Figshare, doi:10.6084/m9.figshare.13476666 (2021).

value: Mitigation


Gibraltar

iso2Code: GI

iso2code: XD

iso2code: XX

country_code: GIB

country_name: Gibraltar

value: Food GHG emissions by system stage (Share of total) - Consumption


Guinea

iso2Code: GN

iso2code: XI

capitalCity: Conakry

country_code: GIN

country_name: Guinea

value: % of total


Gambia, The

iso2Code: GM

iso2code: XM

value: Low income

capitalCity: Banjul

country_code: GMB

country_name: Gambia, The

value: Food GHG emissions disaggregated by system stage are generated from EDGAR-FOOD, a global emission inventory of GHGs from the food systems. EDGAR-FOOD has been developed to aid the understanding of the activities underlying the energy demand and use, agriculture and land use change emissions associated with the production, distribution, consumption and disposal of food through the various stages and sectors of the composite global food system. These data were complemented with data from the FAOSTAT database on GHG emissions from land use related to agriculture (FAO, 2020). EDGAR-FOOD represents the first database consistently covering each stage of the food chain for all countries with yearly frequency for the period 1990-2015. Details regarding the methodology applied are available in Crippa et al. (2021).


Guinea-Bissau

iso2Code: GW

value: Sub-Saharan Africa

capitalCity: Bissau

country_code: GNB

country_name: Guinea-Bissau


Equatorial Guinea

iso2Code: GQ

value: Sub-Saharan Africa (excluding high income)

iso2code: XT

capitalCity: Malabo

country_code: GNQ

country_name: Equatorial Guinea


Greece

iso2Code: GR

capitalCity: Athens

country_code: GRC

country_name: Greece


Grenada

iso2Code: GD

iso2code: ZJ

value: Latin America & Caribbean

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

value: Upper middle income

iso2code: XH

value: Blend

capitalCity: Saint George's

country_code: GRD

country_name: Grenada


Greenland

iso2Code: GL

value: Europe & Central Asia

value: High income

value: Not classified

capitalCity: Nuuk

country_code: GRL

country_name: Greenland


value: Country Climate and Development Report (CCDR)

Guatemala

iso2Code: GT

iso2code: XF

value: IBRD

capitalCity: Guatemala City

country_code: GTM

country_name: Guatemala

value: CC BY-4.0


Guam

iso2Code: GU

value: East Asia & Pacific

iso2code: XD

capitalCity: Agana

country_code: GUM

country_name: Guam

value: Crippa, M., Solazzo, E., Guizzardi, D., Monforti-Ferrario, F., Tubiello, F.N. and Leip, A. EDGAR-FOOD data. Figshare, doi:10.6084/m9.figshare.13476666 (2021).

value: Mitigation


Guyana

iso2Code: GY

value: IDA

capitalCity: Georgetown

country_code: GUY

country_name: Guyana

value: Food GHG emissions by system stage (Share of total) - Consumption

value: % of total


Hong Kong SAR, China

iso2Code: HK

iso2code: XX

country_code: HKG

country_name: Hong Kong, China

value: Food GHG emissions disaggregated by system stage are generated from EDGAR-FOOD, a global emission inventory of GHGs from the food systems. EDGAR-FOOD has been developed to aid the understanding of the activities underlying the energy demand and use, agriculture and land use change emissions associated with the production, distribution, consumption and disposal of food through the various stages and sectors of the composite global food system. These data were complemented with data from the FAOSTAT database on GHG emissions from land use related to agriculture (FAO, 2020). EDGAR-FOOD represents the first database consistently covering each stage of the food chain for all countries with yearly frequency for the period 1990-2015. Details regarding the methodology applied are available in Crippa et al. (2021).


Honduras

iso2Code: HN

value: Latin America & Caribbean

iso2code: XN

value: Lower middle income

iso2code: XI

capitalCity: Tegucigalpa

country_code: HND

country_name: Honduras


Croatia

iso2Code: HR

capitalCity: Zagreb

country_code: HRV

country_name: Croatia


Haiti

iso2Code: HT

value: Latin America & Caribbean (excluding high income)

capitalCity: Port-au-Prince

country_code: HTI

country_name: Haiti


Hungary

iso2Code: HU

capitalCity: Budapest

country_code: HUN

country_name: Hungary


Indonesia

iso2Code: ID

value: East Asia & Pacific (excluding high income)

iso2code: XT

value: Upper middle income

capitalCity: Jakarta

country_code: IDN

country_name: Indonesia


Isle of Man

iso2Code: IM

value: Europe & Central Asia

value: High income

capitalCity: Douglas

country_code: IMN

country_name: Isle of Man


value: Country Climate and Development Report (CCDR)

India

iso2Code: IN

value: South Asia

capitalCity: New Delhi

country_code: IND

country_name: India


Ireland

iso2Code: IE

value: Not classified

capitalCity: Dublin

country_code: IRL

country_name: Ireland

value: CC BY-4.0


Iran, Islamic Rep.

iso2Code: IR

iso2code: ZQ

value: Middle East & North Africa

iso2code: XQ

value: Middle East & North Africa (excluding high income)

iso2code: XF

value: IBRD

capitalCity: Tehran

country_code: IRN

country_name: Iran, Islamic Rep.

value: Crippa, M., Solazzo, E., Guizzardi, D., Monforti-Ferrario, F., Tubiello, F.N. and Leip, A. EDGAR-FOOD data. Figshare, doi:10.6084/m9.figshare.13476666 (2021).


Iraq

iso2Code: IQ

capitalCity: Baghdad

country_code: IRQ

country_name: Iraq

value: Food GHG emissions by system stage (Share of total) - Consumption

value: Mitigation

value: % of total


Iceland

iso2Code: IS

iso2code: XD

iso2code: XX

capitalCity: Reykjavik

country_code: ISL

country_name: Iceland

value: Food GHG emissions disaggregated by system stage are generated from EDGAR-FOOD, a global emission inventory of GHGs from the food systems. EDGAR-FOOD has been developed to aid the understanding of the activities underlying the energy demand and use, agriculture and land use change emissions associated with the production, distribution, consumption and disposal of food through the various stages and sectors of the composite global food system. These data were complemented with data from the FAOSTAT database on GHG emissions from land use related to agriculture (FAO, 2020). EDGAR-FOOD represents the first database consistently covering each stage of the food chain for all countries with yearly frequency for the period 1990-2015. Details regarding the methodology applied are available in Crippa et al. (2021).


Israel

iso2Code: IL

country_code: ISR

country_name: Israel


Italy

iso2Code: IT

capitalCity: Rome

country_code: ITA

country_name: Italy


Jamaica

iso2Code: JM

iso2code: ZJ

value: Latin America & Caribbean

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

capitalCity: Kingston

country_code: JAM

country_name: Jamaica


Jordan

iso2Code: JO

iso2code: XN

value: Lower middle income

capitalCity: Amman

country_code: JOR

country_name: Jordan


Japan

iso2Code: JP

value: East Asia & Pacific

capitalCity: Tokyo

country_code: JPN

country_name: Japan


Kazakhstan

iso2Code: KZ

value: Europe & Central Asia

value: Europe & Central Asia (excluding high income)

iso2code: XT

value: Upper middle income

capitalCity: Astana

country_code: KAZ

country_name: Kazakhstan


value: Country Climate and Development Report (CCDR)

Kenya

iso2Code: KE

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

iso2code: XH

value: Blend

capitalCity: Nairobi

country_code: KEN

country_name: Kenya


Kyrgyz Republic

iso2Code: KG

iso2code: XI

value: IDA

capitalCity: Bishkek

country_code: KGZ

country_name: Kyrgyz Republic

value: CC BY-4.0


Cambodia

iso2Code: KH

value: East Asia & Pacific (excluding high income)

capitalCity: Phnom Penh

country_code: KHM

country_name: Cambodia

value: Food GHG emissions by system stage (Share of total) - Consumption

value: Crippa, M., Solazzo, E., Guizzardi, D., Monforti-Ferrario, F., Tubiello, F.N. and Leip, A. EDGAR-FOOD data. Figshare, doi:10.6084/m9.figshare.13476666 (2021).


Kiribati

iso2Code: KI

capitalCity: Tarawa

country_code: KIR

country_name: Kiribati

value: Mitigation

value: % of total

value: Food GHG emissions disaggregated by system stage are generated from EDGAR-FOOD, a global emission inventory of GHGs from the food systems. EDGAR-FOOD has been developed to aid the understanding of the activities underlying the energy demand and use, agriculture and land use change emissions associated with the production, distribution, consumption and disposal of food through the various stages and sectors of the composite global food system. These data were complemented with data from the FAOSTAT database on GHG emissions from land use related to agriculture (FAO, 2020). EDGAR-FOOD represents the first database consistently covering each stage of the food chain for all countries with yearly frequency for the period 1990-2015. Details regarding the methodology applied are available in Crippa et al. (2021).


St. Kitts and Nevis

iso2Code: KN

value: Latin America & Caribbean

iso2code: XD

value: High income

iso2code: XF

value: IBRD

capitalCity: Basseterre

country_code: KNA

country_name: St. Kitts and Nevis


Korea, Rep.

iso2Code: KR

value: East Asia & Pacific

iso2code: XX

value: Not classified

capitalCity: Seoul

country_code: KOR

country_name: Korea, Rep.


value: Country Climate and Development Report (CCDR)

Kuwait

iso2Code: KW

iso2code: ZQ

value: Middle East & North Africa

capitalCity: Kuwait City

country_code: KWT

country_name: Kuwait


Lao PDR

iso2Code: LA

iso2code: XN

value: Lower middle income

capitalCity: Vientiane

country_code: LAO

country_name: Lao PDR


Lebanon

iso2Code: LB

iso2code: XQ

value: Middle East & North Africa (excluding high income)

capitalCity: Beirut

country_code: LBN

country_name: Lebanon


Liberia

iso2Code: LR

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

iso2code: XM

value: Low income

value: IDA

capitalCity: Monrovia

country_code: LBR

country_name: Liberia


Libya

iso2Code: LY

iso2code: XT

value: Upper middle income

capitalCity: Tripoli

country_code: LBY

country_name: Libya

value: Food GHG emissions by system stage (Share of total) - Consumption

value: Crippa, M., Solazzo, E., Guizzardi, D., Monforti-Ferrario, F., Tubiello, F.N. and Leip, A. EDGAR-FOOD data. Figshare, doi:10.6084/m9.figshare.13476666 (2021).

value: CC BY-4.0


St. Lucia

iso2Code: LC

iso2code: ZJ

value: Latin America & Caribbean

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

iso2code: XH

value: Blend

capitalCity: Castries

country_code: LCA

country_name: St. Lucia

value: Mitigation

value: % of total

value: Food GHG emissions disaggregated by system stage are generated from EDGAR-FOOD, a global emission inventory of GHGs from the food systems. EDGAR-FOOD has been developed to aid the understanding of the activities underlying the energy demand and use, agriculture and land use change emissions associated with the production, distribution, consumption and disposal of food through the various stages and sectors of the composite global food system. These data were complemented with data from the FAOSTAT database on GHG emissions from land use related to agriculture (FAO, 2020). EDGAR-FOOD represents the first database consistently covering each stage of the food chain for all countries with yearly frequency for the period 1990-2015. Details regarding the methodology applied are available in Crippa et al. (2021).


value: Country Climate and Development Report (CCDR)

Liechtenstein

iso2Code: LI

value: Europe & Central Asia

iso2code: XD

value: High income

iso2code: XX

value: Not classified

capitalCity: Vaduz

country_code: LIE

country_name: Liechtenstein