value: World Development Indicators

Marshall Islands

iso2Code: MH

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

value: Upper middle income

capitalCity: Majuro

country_code: MHL

country_name: Marshall Islands

value: IEA, IRENA, UNSD, World Bank, WHO. 2023. Tracking SDG 7: The Energy Progress Report. World Bank, Washington DC. © World Bank. License: Creative Commons Attribution—NonCommercial 3.0 IGO (CC BY-NC 3.0 IGO).

value: Data for access to clean fuels and technologies for cooking are based on the World Health Organization’s (WHO) Global Household Energy Database. They are collected among different sources: only data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). Trends in the proportion of the population using each fuel type are estimated using a single multivariate hierarchical model, with urban and rural disaggregation. Estimates for overall ‘polluting’ fuels (unprocessed biomass, charcoal, coal, and kerosene) and ‘clean’ fuels (gaseous fuels, electricity, as well as an aggregation of any other clean fuels like alcohol) are produced by aggregating estimates of relevant fuel types. The model was used to derive clean fuel use estimates for 191 countries (ref. Stoner, O., Shaddick, G., Economou, T., Gumy, S., Lewis, J., Lucio, I., Ruggeri, G. and Adair-Rohani, H. (2020), Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking. J. R. Stat. Soc. C, 69: 815-839). Countries classified by the World Bank as high income (57 countries) in the 2022 fiscal year are assumed to have universal access to clean fuels and technologies for cooking.


name: Access to clean fuels and technologies for cooking, urban (% of urban population)

sourceNone: Access to clean fuels and technologies for cooking, urban is the proportion of urban population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels.

value: Environment

Middle income

iso2Code: XP

value: Aggregates

country_code: MIC

country_name: Middle income

value: CC BY-4.0

value: Annual

value: Weighted average

value: Environment: Energy production & use

schema: wb


North Macedonia

iso2Code: MK

value: Europe & Central Asia

value: Europe & Central Asia (excluding high income)

iso2code: XT

iso2code: XF

value: IBRD

capitalCity: Skopje

country_code: MKD

country_name: North Macedonia

value: Access to clean fuels and technologies for cooking, urban (% of urban population)

value: Access to clean fuels and technologies for cooking, urban is the proportion of urban population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels.


value: World Development Indicators

Mali

iso2Code: ML

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: Bamako

country_code: MLI

country_name: Mali


Malta

iso2Code: MT

iso2code: ZQ

value: Middle East & North Africa

iso2code: XD

value: High income

iso2code: XX

value: Not classified

capitalCity: Valletta

country_code: MLT

country_name: Malta

value: IEA, IRENA, UNSD, World Bank, WHO. 2023. Tracking SDG 7: The Energy Progress Report. World Bank, Washington DC. © World Bank. License: Creative Commons Attribution—NonCommercial 3.0 IGO (CC BY-NC 3.0 IGO).

value: Data for access to clean fuels and technologies for cooking are based on the World Health Organization’s (WHO) Global Household Energy Database. They are collected among different sources: only data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). Trends in the proportion of the population using each fuel type are estimated using a single multivariate hierarchical model, with urban and rural disaggregation. Estimates for overall ‘polluting’ fuels (unprocessed biomass, charcoal, coal, and kerosene) and ‘clean’ fuels (gaseous fuels, electricity, as well as an aggregation of any other clean fuels like alcohol) are produced by aggregating estimates of relevant fuel types. The model was used to derive clean fuel use estimates for 191 countries (ref. Stoner, O., Shaddick, G., Economou, T., Gumy, S., Lewis, J., Lucio, I., Ruggeri, G. and Adair-Rohani, H. (2020), Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking. J. R. Stat. Soc. C, 69: 815-839). Countries classified by the World Bank as high income (57 countries) in the 2022 fiscal year are assumed to have universal access to clean fuels and technologies for cooking.


value: Environment

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: CC BY-4.0

value: Annual

value: Weighted average


value: World Development Indicators

iso2Code: XQ

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

value: Aggregates

country_code: MNA

value: Access to clean fuels and technologies for cooking, urban (% of urban population)

value: Access to clean fuels and technologies for cooking, urban is the proportion of urban population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels.

value: Environment: Energy production & use


Montenegro

iso2Code: ME

value: Europe & Central Asia

value: Europe & Central Asia (excluding high income)

value: Upper middle income

value: IBRD

capitalCity: Podgorica

country_code: MNE

country_name: Montenegro


Mongolia

iso2Code: MN

capitalCity: Ulaanbaatar

country_code: MNG

country_name: Mongolia

value: IEA, IRENA, UNSD, World Bank, WHO. 2023. Tracking SDG 7: The Energy Progress Report. World Bank, Washington DC. © World Bank. License: Creative Commons Attribution—NonCommercial 3.0 IGO (CC BY-NC 3.0 IGO).

value: Data for access to clean fuels and technologies for cooking are based on the World Health Organization’s (WHO) Global Household Energy Database. They are collected among different sources: only data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). Trends in the proportion of the population using each fuel type are estimated using a single multivariate hierarchical model, with urban and rural disaggregation. Estimates for overall ‘polluting’ fuels (unprocessed biomass, charcoal, coal, and kerosene) and ‘clean’ fuels (gaseous fuels, electricity, as well as an aggregation of any other clean fuels like alcohol) are produced by aggregating estimates of relevant fuel types. The model was used to derive clean fuel use estimates for 191 countries (ref. Stoner, O., Shaddick, G., Economou, T., Gumy, S., Lewis, J., Lucio, I., Ruggeri, G. and Adair-Rohani, H. (2020), Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking. J. R. Stat. Soc. C, 69: 815-839). Countries classified by the World Bank as high income (57 countries) in the 2022 fiscal year are assumed to have universal access to clean fuels and technologies for cooking.


value: Environment

Northern Mariana Islands

iso2Code: MP

value: East Asia & Pacific

value: High income

value: Not classified

capitalCity: Saipan

country_code: MNP

country_name: Northern Mariana Islands


Mozambique

iso2Code: MZ

value: Sub-Saharan Africa

value: Sub-Saharan Africa (excluding high income)

value: Low income

value: IDA

capitalCity: Maputo

country_code: MOZ

country_name: Mozambique

value: CC BY-4.0

value: Annual


value: World Development Indicators

Mauritania

iso2Code: MR

value: Lower middle income

capitalCity: Nouakchott

country_code: MRT

country_name: Mauritania

value: Weighted average

value: Access to clean fuels and technologies for cooking, urban (% of urban population)

value: Access to clean fuels and technologies for cooking, urban is the proportion of urban population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels.

value: Environment: Energy production & use


Mauritius

iso2Code: MU

iso2code: XT

value: Upper middle income

iso2code: XF

value: IBRD

capitalCity: Port Louis

country_code: MUS

country_name: Mauritius

value: IEA, IRENA, UNSD, World Bank, WHO. 2023. Tracking SDG 7: The Energy Progress Report. World Bank, Washington DC. © World Bank. License: Creative Commons Attribution—NonCommercial 3.0 IGO (CC BY-NC 3.0 IGO).

value: Data for access to clean fuels and technologies for cooking are based on the World Health Organization’s (WHO) Global Household Energy Database. They are collected among different sources: only data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). Trends in the proportion of the population using each fuel type are estimated using a single multivariate hierarchical model, with urban and rural disaggregation. Estimates for overall ‘polluting’ fuels (unprocessed biomass, charcoal, coal, and kerosene) and ‘clean’ fuels (gaseous fuels, electricity, as well as an aggregation of any other clean fuels like alcohol) are produced by aggregating estimates of relevant fuel types. The model was used to derive clean fuel use estimates for 191 countries (ref. Stoner, O., Shaddick, G., Economou, T., Gumy, S., Lewis, J., Lucio, I., Ruggeri, G. and Adair-Rohani, H. (2020), Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking. J. R. Stat. Soc. C, 69: 815-839). Countries classified by the World Bank as high income (57 countries) in the 2022 fiscal year are assumed to have universal access to clean fuels and technologies for cooking.


value: Environment

Malawi

iso2Code: MW

iso2code: ZG

iso2code: ZF

iso2code: XM

capitalCity: Lilongwe

country_code: MWI

country_name: Malawi


Malaysia

iso2Code: MY

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

capitalCity: Kuala Lumpur

country_code: MYS

country_name: Malaysia


North America

iso2Code: XU

value: Aggregates

country_code: NAC

country_name: North America


Namibia

value: Sub-Saharan Africa

value: Sub-Saharan Africa (excluding high income)

capitalCity: Windhoek

country_code: NAM

country_name: Namibia


New Caledonia

iso2Code: NC

iso2code: XD

value: High income

iso2code: XX

value: Not classified

capitalCity: Noum'ea

country_code: NCL

country_name: New Caledonia

value: CC BY-4.0

value: Annual


value: World Development Indicators

Niger

iso2Code: NE

value: Low income

iso2code: XI

value: IDA

capitalCity: Niamey

country_code: NER

country_name: Niger

value: Weighted average

value: Access to clean fuels and technologies for cooking, urban (% of urban population)


Nigeria

iso2Code: NG

iso2code: XN

value: Lower middle income

iso2code: XH

value: Blend

capitalCity: Abuja

country_code: NGA

country_name: Nigeria

value: IEA, IRENA, UNSD, World Bank, WHO. 2023. Tracking SDG 7: The Energy Progress Report. World Bank, Washington DC. © World Bank. License: Creative Commons Attribution—NonCommercial 3.0 IGO (CC BY-NC 3.0 IGO).

value: Access to clean fuels and technologies for cooking, urban is the proportion of urban population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels.

value: Environment: Energy production & use


value: Environment

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: Data for access to clean fuels and technologies for cooking are based on the World Health Organization’s (WHO) Global Household Energy Database. They are collected among different sources: only data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). Trends in the proportion of the population using each fuel type are estimated using a single multivariate hierarchical model, with urban and rural disaggregation. Estimates for overall ‘polluting’ fuels (unprocessed biomass, charcoal, coal, and kerosene) and ‘clean’ fuels (gaseous fuels, electricity, as well as an aggregation of any other clean fuels like alcohol) are produced by aggregating estimates of relevant fuel types. The model was used to derive clean fuel use estimates for 191 countries (ref. Stoner, O., Shaddick, G., Economou, T., Gumy, S., Lewis, J., Lucio, I., Ruggeri, G. and Adair-Rohani, H. (2020), Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking. J. R. Stat. Soc. C, 69: 815-839). Countries classified by the World Bank as high income (57 countries) in the 2022 fiscal year are assumed to have universal access to clean fuels and technologies for cooking.


Netherlands

iso2Code: NL

value: Europe & Central Asia

value: High income

value: Not classified

capitalCity: Amsterdam

country_code: NLD

country_name: Netherlands


value: World Development Indicators

Norway

iso2Code: NO

capitalCity: Oslo

country_code: NOR

country_name: Norway

value: CC BY-4.0

value: Annual


Nepal

iso2Code: NP

value: South Asia

value: IDA

capitalCity: Kathmandu

country_code: NPL

country_name: Nepal

value: Weighted average


Nauru

iso2Code: NR

value: East Asia & Pacific

iso2code: XF

value: IBRD

capitalCity: Yaren District

country_code: NRU

country_name: Nauru

value: Access to clean fuels and technologies for cooking, urban (% of urban population)


New Zealand

iso2Code: NZ

capitalCity: Wellington

country_code: NZL

country_name: New Zealand

value: IEA, IRENA, UNSD, World Bank, WHO. 2023. Tracking SDG 7: The Energy Progress Report. World Bank, Washington DC. © World Bank. License: Creative Commons Attribution—NonCommercial 3.0 IGO (CC BY-NC 3.0 IGO).

value: Access to clean fuels and technologies for cooking, urban is the proportion of urban population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels.

value: Environment: Energy production & use


value: Environment

OECD members

iso2Code: OE

value: Aggregates

country_code: OED

country_name: OECD members


Oman

iso2Code: OM

iso2code: ZQ

value: Middle East & North Africa

iso2code: XD

capitalCity: Muscat

country_code: OMN

country_name: Oman

value: Data for access to clean fuels and technologies for cooking are based on the World Health Organization’s (WHO) Global Household Energy Database. They are collected among different sources: only data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). Trends in the proportion of the population using each fuel type are estimated using a single multivariate hierarchical model, with urban and rural disaggregation. Estimates for overall ‘polluting’ fuels (unprocessed biomass, charcoal, coal, and kerosene) and ‘clean’ fuels (gaseous fuels, electricity, as well as an aggregation of any other clean fuels like alcohol) are produced by aggregating estimates of relevant fuel types. The model was used to derive clean fuel use estimates for 191 countries (ref. Stoner, O., Shaddick, G., Economou, T., Gumy, S., Lewis, J., Lucio, I., Ruggeri, G. and Adair-Rohani, H. (2020), Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking. J. R. Stat. Soc. C, 69: 815-839). Countries classified by the World Bank as high income (57 countries) in the 2022 fiscal year are assumed to have universal access to clean fuels and technologies for cooking.


country_code: OSS

country_name: Other small states


Pakistan

iso2Code: PK

value: Lower middle income

value: Blend

capitalCity: Islamabad

country_code: PAK

country_name: Pakistan


value: World Development Indicators

Panama

iso2Code: PA

value: Latin America & Caribbean

value: High income

capitalCity: Panama City

country_code: PAN

country_name: Panama

value: CC BY-4.0


Peru

iso2Code: PE

value: Latin America & Caribbean (excluding high income)

iso2code: XT

value: Upper middle income

capitalCity: Lima

country_code: PER

country_name: Peru

value: Annual

value: Weighted average


Philippines

iso2Code: PH

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

iso2code: XN

value: IBRD

capitalCity: Manila

country_code: PHL

country_name: Philippines

value: IEA, IRENA, UNSD, World Bank, WHO. 2023. Tracking SDG 7: The Energy Progress Report. World Bank, Washington DC. © World Bank. License: Creative Commons Attribution—NonCommercial 3.0 IGO (CC BY-NC 3.0 IGO).

value: Access to clean fuels and technologies for cooking, urban (% of urban population)


value: Environment

Palau

iso2Code: PW

capitalCity: Koror

country_code: PLW

country_name: Palau

value: Access to clean fuels and technologies for cooking, urban is the proportion of urban population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels.

value: Environment: Energy production & use


Papua New Guinea

iso2Code: PG

value: Lower middle income

iso2code: XH

value: Blend

capitalCity: Port Moresby

country_code: PNG

country_name: Papua New Guinea

value: Data for access to clean fuels and technologies for cooking are based on the World Health Organization’s (WHO) Global Household Energy Database. They are collected among different sources: only data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). Trends in the proportion of the population using each fuel type are estimated using a single multivariate hierarchical model, with urban and rural disaggregation. Estimates for overall ‘polluting’ fuels (unprocessed biomass, charcoal, coal, and kerosene) and ‘clean’ fuels (gaseous fuels, electricity, as well as an aggregation of any other clean fuels like alcohol) are produced by aggregating estimates of relevant fuel types. The model was used to derive clean fuel use estimates for 191 countries (ref. Stoner, O., Shaddick, G., Economou, T., Gumy, S., Lewis, J., Lucio, I., Ruggeri, G. and Adair-Rohani, H. (2020), Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking. J. R. Stat. Soc. C, 69: 815-839). Countries classified by the World Bank as high income (57 countries) in the 2022 fiscal year are assumed to have universal access to clean fuels and technologies for cooking.


value: World Development Indicators

Poland

iso2Code: PL

value: Europe & Central Asia

value: High income

capitalCity: Warsaw

country_code: POL

country_name: Poland


Pre-demographic dividend

value: Aggregates

country_code: PRE

country_name: Pre-demographic dividend

value: CC BY-4.0


Puerto Rico

iso2Code: PR

iso2code: ZJ

value: Latin America & Caribbean

iso2code: XX

value: Not classified

capitalCity: San Juan

country_code: PRI

country_name: Puerto Rico

value: Annual

value: Weighted average


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: IEA, IRENA, UNSD, World Bank, WHO. 2023. Tracking SDG 7: The Energy Progress Report. World Bank, Washington DC. © World Bank. License: Creative Commons Attribution—NonCommercial 3.0 IGO (CC BY-NC 3.0 IGO).


value: Environment

Portugal

iso2Code: PT

capitalCity: Lisbon

country_code: PRT

country_name: Portugal

value: Access to clean fuels and technologies for cooking, urban (% of urban population)

value: Access to clean fuels and technologies for cooking, urban is the proportion of urban population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels.

value: Environment: Energy production & use


value: World Development Indicators

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: Data for access to clean fuels and technologies for cooking are based on the World Health Organization’s (WHO) Global Household Energy Database. They are collected among different sources: only data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). Trends in the proportion of the population using each fuel type are estimated using a single multivariate hierarchical model, with urban and rural disaggregation. Estimates for overall ‘polluting’ fuels (unprocessed biomass, charcoal, coal, and kerosene) and ‘clean’ fuels (gaseous fuels, electricity, as well as an aggregation of any other clean fuels like alcohol) are produced by aggregating estimates of relevant fuel types. The model was used to derive clean fuel use estimates for 191 countries (ref. Stoner, O., Shaddick, G., Economou, T., Gumy, S., Lewis, J., Lucio, I., Ruggeri, G. and Adair-Rohani, H. (2020), Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking. J. R. Stat. Soc. C, 69: 815-839). Countries classified by the World Bank as high income (57 countries) in the 2022 fiscal year are assumed to have universal access to clean fuels and technologies for cooking.


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: CC BY-4.0


Pacific island small states

value: Aggregates

country_code: PSS

country_name: Pacific island small states

value: Annual

value: Weighted average


country_code: PST

country_name: Post-demographic dividend


French Polynesia

iso2Code: PF

value: East Asia & Pacific

iso2code: XD

value: High income

value: Not classified

capitalCity: Papeete

country_code: PYF

country_name: French Polynesia


value: Environment

Qatar

iso2Code: QA

capitalCity: Doha

country_code: QAT

country_name: Qatar

value: IEA, IRENA, UNSD, World Bank, WHO. 2023. Tracking SDG 7: The Energy Progress Report. World Bank, Washington DC. © World Bank. License: Creative Commons Attribution—NonCommercial 3.0 IGO (CC BY-NC 3.0 IGO).

value: Access to clean fuels and technologies for cooking, urban (% of urban population)


value: World Development Indicators

Romania

iso2Code: RO

value: Europe & Central Asia

capitalCity: Bucharest

country_code: ROU

country_name: Romania

value: Access to clean fuels and technologies for cooking, urban is the proportion of urban population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels.

value: Environment: Energy production & use


Russian Federation

iso2Code: RU

value: Europe & Central Asia (excluding high income)

iso2code: XT

value: Upper middle income

value: IBRD

capitalCity: Moscow

country_code: RUS

country_name: Russian Federation

value: Data for access to clean fuels and technologies for cooking are based on the World Health Organization’s (WHO) Global Household Energy Database. They are collected among different sources: only data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). Trends in the proportion of the population using each fuel type are estimated using a single multivariate hierarchical model, with urban and rural disaggregation. Estimates for overall ‘polluting’ fuels (unprocessed biomass, charcoal, coal, and kerosene) and ‘clean’ fuels (gaseous fuels, electricity, as well as an aggregation of any other clean fuels like alcohol) are produced by aggregating estimates of relevant fuel types. The model was used to derive clean fuel use estimates for 191 countries (ref. Stoner, O., Shaddick, G., Economou, T., Gumy, S., Lewis, J., Lucio, I., Ruggeri, G. and Adair-Rohani, H. (2020), Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking. J. R. Stat. Soc. C, 69: 815-839). Countries classified by the World Bank as high income (57 countries) in the 2022 fiscal year are assumed to have universal access to clean fuels and technologies for cooking.


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: CC BY-4.0


South Asia

value: Aggregates

country_code: SAS

country_name: South Asia

value: Annual

value: Weighted average


value: Environment

Saudi Arabia

iso2Code: SA

value: Middle East & North Africa

value: High income

iso2code: XX

value: Not classified

capitalCity: Riyadh

country_code: SAU

country_name: Saudi Arabia

value: IEA, IRENA, UNSD, World Bank, WHO. 2023. Tracking SDG 7: The Energy Progress Report. World Bank, Washington DC. © World Bank. License: Creative Commons Attribution—NonCommercial 3.0 IGO (CC BY-NC 3.0 IGO).

value: Access to clean fuels and technologies for cooking, urban (% of urban population)


value: World Development Indicators

Sudan

iso2Code: SD

iso2code: XM

capitalCity: Khartoum

country_code: SDN

country_name: Sudan

value: Access to clean fuels and technologies for cooking, urban is the proportion of urban population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels.

value: Environment: Energy production & use


Senegal

iso2Code: SN

value: Sub-Saharan Africa

iso2code: XN

value: Lower middle income

capitalCity: Dakar

country_code: SEN

country_name: Senegal

value: Data for access to clean fuels and technologies for cooking are based on the World Health Organization’s (WHO) Global Household Energy Database. They are collected among different sources: only data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). Trends in the proportion of the population using each fuel type are estimated using a single multivariate hierarchical model, with urban and rural disaggregation. Estimates for overall ‘polluting’ fuels (unprocessed biomass, charcoal, coal, and kerosene) and ‘clean’ fuels (gaseous fuels, electricity, as well as an aggregation of any other clean fuels like alcohol) are produced by aggregating estimates of relevant fuel types. The model was used to derive clean fuel use estimates for 191 countries (ref. Stoner, O., Shaddick, G., Economou, T., Gumy, S., Lewis, J., Lucio, I., Ruggeri, G. and Adair-Rohani, H. (2020), Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking. J. R. Stat. Soc. C, 69: 815-839). Countries classified by the World Bank as high income (57 countries) in the 2022 fiscal year are assumed to have universal access to clean fuels and technologies for cooking.


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: CC BY-4.0


Sierra Leone

iso2Code: SL

value: Sub-Saharan Africa (excluding high income)

value: Low income

capitalCity: Freetown

country_code: SLE

country_name: Sierra Leone

value: Annual

value: Weighted average


value: Environment

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: World Development Indicators

San Marino

iso2Code: SM

value: Europe & Central Asia

iso2code: XD

value: High income

value: Not classified

capitalCity: San Marino

country_code: SMR

country_name: San Marino

value: IEA, IRENA, UNSD, World Bank, WHO. 2023. Tracking SDG 7: The Energy Progress Report. World Bank, Washington DC. © World Bank. License: Creative Commons Attribution—NonCommercial 3.0 IGO (CC BY-NC 3.0 IGO).

value: Access to clean fuels and technologies for cooking, urban (% of urban population)

value: Access to clean fuels and technologies for cooking, urban is the proportion of urban population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels.

value: Environment: Energy production & use


Somalia

iso2Code: SO

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

value: IDA

capitalCity: Mogadishu

country_code: SOM

country_name: Somalia

value: CC BY-4.0

value: Data for access to clean fuels and technologies for cooking are based on the World Health Organization’s (WHO) Global Household Energy Database. They are collected among different sources: only data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). Trends in the proportion of the population using each fuel type are estimated using a single multivariate hierarchical model, with urban and rural disaggregation. Estimates for overall ‘polluting’ fuels (unprocessed biomass, charcoal, coal, and kerosene) and ‘clean’ fuels (gaseous fuels, electricity, as well as an aggregation of any other clean fuels like alcohol) are produced by aggregating estimates of relevant fuel types. The model was used to derive clean fuel use estimates for 191 countries (ref. Stoner, O., Shaddick, G., Economou, T., Gumy, S., Lewis, J., Lucio, I., Ruggeri, G. and Adair-Rohani, H. (2020), Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking. J. R. Stat. Soc. C, 69: 815-839). Countries classified by the World Bank as high income (57 countries) in the 2022 fiscal year are assumed to have universal access to clean fuels and technologies for cooking.


value: Environment

Serbia

iso2Code: RS

value: Europe & Central Asia (excluding high income)

iso2code: XT

capitalCity: Belgrade

country_code: SRB

country_name: Serbia

value: Annual

value: Weighted average


value: World Development Indicators

name: Sub-Saharan Africa (excluding high income)

value: Aggregates

country_code: SSA


South Sudan

iso2Code: SS

iso2code: XM

value: Low income

iso2code: XI

capitalCity: Juba

country_code: SSD

country_name: South Sudan


country_code: SSF

country_name: Sub-Saharan Africa


country_code: SST

country_name: Small states


Sao Tome and Principe

iso2Code: ST

iso2code: XN

value: Lower middle income

capitalCity: Sao Tome

country_code: STP

country_name: São Tomé and Principe


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: IEA, IRENA, UNSD, World Bank, WHO. 2023. Tracking SDG 7: The Energy Progress Report. World Bank, Washington DC. © World Bank. License: Creative Commons Attribution—NonCommercial 3.0 IGO (CC BY-NC 3.0 IGO).


Slovak Republic

iso2Code: SK

value: Europe & Central Asia

value: High income

iso2code: XX

value: Not classified

capitalCity: Bratislava

country_code: SVK

country_name: Slovak Republic

value: Access to clean fuels and technologies for cooking, urban (% of urban population)

value: Access to clean fuels and technologies for cooking, urban is the proportion of urban population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels.

value: Environment: Energy production & use


value: Environment

Slovenia

iso2Code: SI

capitalCity: Ljubljana

country_code: SVN

country_name: Slovenia

value: CC BY-4.0

value: Annual

value: Data for access to clean fuels and technologies for cooking are based on the World Health Organization’s (WHO) Global Household Energy Database. They are collected among different sources: only data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). Trends in the proportion of the population using each fuel type are estimated using a single multivariate hierarchical model, with urban and rural disaggregation. Estimates for overall ‘polluting’ fuels (unprocessed biomass, charcoal, coal, and kerosene) and ‘clean’ fuels (gaseous fuels, electricity, as well as an aggregation of any other clean fuels like alcohol) are produced by aggregating estimates of relevant fuel types. The model was used to derive clean fuel use estimates for 191 countries (ref. Stoner, O., Shaddick, G., Economou, T., Gumy, S., Lewis, J., Lucio, I., Ruggeri, G. and Adair-Rohani, H. (2020), Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking. J. R. Stat. Soc. C, 69: 815-839). Countries classified by the World Bank as high income (57 countries) in the 2022 fiscal year are assumed to have universal access to clean fuels and technologies for cooking.


value: World Development Indicators

Sweden

iso2Code: SE

capitalCity: Stockholm

country_code: SWE

country_name: Sweden

value: Weighted average


Eswatini

iso2Code: SZ

value: Sub-Saharan Africa

value: Sub-Saharan Africa (excluding high income)

value: Lower middle income

iso2code: XF

capitalCity: Mbabane

country_code: SWZ

country_name: Eswatini


Sint Maarten (Dutch part)

iso2Code: SX

iso2code: ZJ

value: Latin America & Caribbean

iso2code: XD

capitalCity: Philipsburg

country_code: SXM

country_name: Sint Maarten (Dutch part)


Seychelles

iso2Code: SC

iso2code: ZG

value: IBRD

capitalCity: Victoria

country_code: SYC

country_name: Seychelles

value: IEA, IRENA, UNSD, World Bank, WHO. 2023. Tracking SDG 7: The Energy Progress Report. World Bank, Washington DC. © World Bank. License: Creative Commons Attribution—NonCommercial 3.0 IGO (CC BY-NC 3.0 IGO).


Syrian Arab Republic

iso2Code: SY

iso2code: ZQ

value: Middle East & North Africa

iso2code: XQ

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

value: Low income

value: IDA

capitalCity: Damascus

country_code: SYR

country_name: Syrian Arab Republic


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: Access to clean fuels and technologies for cooking, urban (% of urban population)

value: Access to clean fuels and technologies for cooking, urban is the proportion of urban population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels.

value: Environment: Energy production & use


value: World Development Indicators

value: Environment

Chad

iso2Code: TD

iso2code: ZF

iso2code: XM

iso2code: XI

capitalCity: N'Djamena

country_code: TCD

country_name: Chad

value: CC BY-4.0

value: Annual

value: Data for access to clean fuels and technologies for cooking are based on the World Health Organization’s (WHO) Global Household Energy Database. They are collected among different sources: only data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). Trends in the proportion of the population using each fuel type are estimated using a single multivariate hierarchical model, with urban and rural disaggregation. Estimates for overall ‘polluting’ fuels (unprocessed biomass, charcoal, coal, and kerosene) and ‘clean’ fuels (gaseous fuels, electricity, as well as an aggregation of any other clean fuels like alcohol) are produced by aggregating estimates of relevant fuel types. The model was used to derive clean fuel use estimates for 191 countries (ref. Stoner, O., Shaddick, G., Economou, T., Gumy, S., Lewis, J., Lucio, I., Ruggeri, G. and Adair-Rohani, H. (2020), Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking. J. R. Stat. Soc. C, 69: 815-839). Countries classified by the World Bank as high income (57 countries) in the 2022 fiscal year are assumed to have universal access to clean fuels and technologies for cooking.


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

value: Aggregates

country_code: TEA

value: Weighted average


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

country_code: TEC

value: IEA, IRENA, UNSD, World Bank, WHO. 2023. Tracking SDG 7: The Energy Progress Report. World Bank, Washington DC. © World Bank. License: Creative Commons Attribution—NonCommercial 3.0 IGO (CC BY-NC 3.0 IGO).


Togo

iso2Code: TG

value: Sub-Saharan Africa

value: Sub-Saharan Africa (excluding high income)

capitalCity: Lome

country_code: TGO

country_name: Togo


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: Access to clean fuels and technologies for cooking, urban (% of urban population)


value: World Development Indicators

value: Environment

Turkmenistan

iso2Code: TM

iso2code: XF

capitalCity: Ashgabat

country_code: TKM

country_name: Turkmenistan

value: CC BY-4.0

value: Access to clean fuels and technologies for cooking, urban is the proportion of urban population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels.

value: Environment: Energy production & use


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

value: Aggregates

country_code: TLA

value: Annual

value: Weighted average

value: IEA, IRENA, UNSD, World Bank, WHO. 2023. Tracking SDG 7: The Energy Progress Report. World Bank, Washington DC. © World Bank. License: Creative Commons Attribution—NonCommercial 3.0 IGO (CC BY-NC 3.0 IGO).

value: Data for access to clean fuels and technologies for cooking are based on the World Health Organization’s (WHO) Global Household Energy Database. They are collected among different sources: only data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). Trends in the proportion of the population using each fuel type are estimated using a single multivariate hierarchical model, with urban and rural disaggregation. Estimates for overall ‘polluting’ fuels (unprocessed biomass, charcoal, coal, and kerosene) and ‘clean’ fuels (gaseous fuels, electricity, as well as an aggregation of any other clean fuels like alcohol) are produced by aggregating estimates of relevant fuel types. The model was used to derive clean fuel use estimates for 191 countries (ref. Stoner, O., Shaddick, G., Economou, T., Gumy, S., Lewis, J., Lucio, I., Ruggeri, G. and Adair-Rohani, H. (2020), Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking. J. R. Stat. Soc. C, 69: 815-839). Countries classified by the World Bank as high income (57 countries) in the 2022 fiscal year are assumed to have universal access to clean fuels and technologies for cooking.


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


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


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

value: IBRD

capitalCity: Port-of-Spain

country_code: TTO

country_name: Trinidad and Tobago


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: Access to clean fuels and technologies for cooking, urban (% of urban population)


value: Environment

Turkiye

iso2Code: TR

value: Europe & Central Asia

value: Europe & Central Asia (excluding high income)

capitalCity: Ankara

country_code: TUR

country_name: Turkey

value: CC BY-4.0

value: Access to clean fuels and technologies for cooking, urban is the proportion of urban population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels.

value: Environment: Energy production & use


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: Annual

value: Weighted average

value: IEA, IRENA, UNSD, World Bank, WHO. 2023. Tracking SDG 7: The Energy Progress Report. World Bank, Washington DC. © World Bank. License: Creative Commons Attribution—NonCommercial 3.0 IGO (CC BY-NC 3.0 IGO).

value: Data for access to clean fuels and technologies for cooking are based on the World Health Organization’s (WHO) Global Household Energy Database. They are collected among different sources: only data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). Trends in the proportion of the population using each fuel type are estimated using a single multivariate hierarchical model, with urban and rural disaggregation. Estimates for overall ‘polluting’ fuels (unprocessed biomass, charcoal, coal, and kerosene) and ‘clean’ fuels (gaseous fuels, electricity, as well as an aggregation of any other clean fuels like alcohol) are produced by aggregating estimates of relevant fuel types. The model was used to derive clean fuel use estimates for 191 countries (ref. Stoner, O., Shaddick, G., Economou, T., Gumy, S., Lewis, J., Lucio, I., Ruggeri, G. and Adair-Rohani, H. (2020), Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking. J. R. Stat. Soc. C, 69: 815-839). Countries classified by the World Bank as high income (57 countries) in the 2022 fiscal year are assumed to have universal access to clean fuels and technologies for cooking.


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


Uganda

iso2Code: UG

iso2code: XM

value: Low income

capitalCity: Kampala

country_code: UGA

country_name: Uganda

value: Access to clean fuels and technologies for cooking, urban (% of urban population)


value: Environment

Ukraine

iso2Code: UA

value: Europe & Central Asia

iso2code: XN

value: Lower middle income

iso2code: XF

value: IBRD

capitalCity: Kiev

country_code: UKR

country_name: Ukraine


Upper middle income

iso2Code: XT

value: Aggregates

country_code: UMC

country_name: Upper middle income

value: CC BY-4.0

value: Access to clean fuels and technologies for cooking, urban is the proportion of urban population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels.

value: Environment: Energy production & use


Uruguay

iso2Code: UY

iso2code: ZJ

value: Latin America & Caribbean

value: High income

capitalCity: Montevideo

country_code: URY

country_name: Uruguay

value: Annual


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: Weighted average

value: IEA, IRENA, UNSD, World Bank, WHO. 2023. Tracking SDG 7: The Energy Progress Report. World Bank, Washington DC. © World Bank. License: Creative Commons Attribution—NonCommercial 3.0 IGO (CC BY-NC 3.0 IGO).

value: Data for access to clean fuels and technologies for cooking are based on the World Health Organization’s (WHO) Global Household Energy Database. They are collected among different sources: only data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). Trends in the proportion of the population using each fuel type are estimated using a single multivariate hierarchical model, with urban and rural disaggregation. Estimates for overall ‘polluting’ fuels (unprocessed biomass, charcoal, coal, and kerosene) and ‘clean’ fuels (gaseous fuels, electricity, as well as an aggregation of any other clean fuels like alcohol) are produced by aggregating estimates of relevant fuel types. The model was used to derive clean fuel use estimates for 191 countries (ref. Stoner, O., Shaddick, G., Economou, T., Gumy, S., Lewis, J., Lucio, I., Ruggeri, G. and Adair-Rohani, H. (2020), Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking. J. R. Stat. Soc. C, 69: 815-839). Countries classified by the World Bank as high income (57 countries) in the 2022 fiscal year are assumed to have universal access to clean fuels and technologies for cooking.


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: Access to clean fuels and technologies for cooking, urban (% of urban population)


value: Environment

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

value: IBRD

capitalCity: Caracas

country_code: VEN

country_name: Venezuela, RB

value: CC BY-4.0

value: Access to clean fuels and technologies for cooking, urban is the proportion of urban population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels.


British Virgin Islands

iso2Code: VG

value: Latin America & Caribbean

value: High income

capitalCity: Road Town

country_code: VGB

country_name: British Virgin Islands

value: Environment: Energy production & use


Virgin Islands (U.S.)

iso2Code: VI

value: Not classified

capitalCity: Charlotte Amalie

country_code: VIR

country_name: Virgin Islands (U.S.)

value: Annual


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: Weighted average

value: IEA, IRENA, UNSD, World Bank, WHO. 2023. Tracking SDG 7: The Energy Progress Report. World Bank, Washington DC. © World Bank. License: Creative Commons Attribution—NonCommercial 3.0 IGO (CC BY-NC 3.0 IGO).


value: World Development Indicators

Vanuatu

iso2Code: VU

iso2code: XI

value: IDA

capitalCity: Port-Vila

country_code: VUT

country_name: Vanuatu

value: Access to clean fuels and technologies for cooking, urban (% of urban population)

value: Data for access to clean fuels and technologies for cooking are based on the World Health Organization’s (WHO) Global Household Energy Database. They are collected among different sources: only data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). Trends in the proportion of the population using each fuel type are estimated using a single multivariate hierarchical model, with urban and rural disaggregation. Estimates for overall ‘polluting’ fuels (unprocessed biomass, charcoal, coal, and kerosene) and ‘clean’ fuels (gaseous fuels, electricity, as well as an aggregation of any other clean fuels like alcohol) are produced by aggregating estimates of relevant fuel types. The model was used to derive clean fuel use estimates for 191 countries (ref. Stoner, O., Shaddick, G., Economou, T., Gumy, S., Lewis, J., Lucio, I., Ruggeri, G. and Adair-Rohani, H. (2020), Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking. J. R. Stat. Soc. C, 69: 815-839). Countries classified by the World Bank as high income (57 countries) in the 2022 fiscal year are assumed to have universal access to clean fuels and technologies for cooking.


value: Environment

World

value: Aggregates

country_code: WLD

country_name: World


Samoa

iso2Code: WS

capitalCity: Apia

country_code: WSM

country_name: Samoa

value: CC BY-4.0

value: Access to clean fuels and technologies for cooking, urban is the proportion of urban population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels.


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: Annual

value: Environment: Energy production & use


South Africa

iso2Code: ZA

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

iso2code: XF

value: IBRD

capitalCity: Pretoria

country_code: ZAF

country_name: South Africa

value: Weighted average

value: IEA, IRENA, UNSD, World Bank, WHO. 2023. Tracking SDG 7: The Energy Progress Report. World Bank, Washington DC. © World Bank. License: Creative Commons Attribution—NonCommercial 3.0 IGO (CC BY-NC 3.0 IGO).


value: World Development Indicators

value: Environment

Zambia

iso2Code: ZM

value: Lower middle income

value: IDA

capitalCity: Lusaka

country_code: ZMB

country_name: Zambia

value: Access to clean fuels and technologies for cooking, urban (% of urban population)

value: Data for access to clean fuels and technologies for cooking are based on the World Health Organization’s (WHO) Global Household Energy Database. They are collected among different sources: only data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). Trends in the proportion of the population using each fuel type are estimated using a single multivariate hierarchical model, with urban and rural disaggregation. Estimates for overall ‘polluting’ fuels (unprocessed biomass, charcoal, coal, and kerosene) and ‘clean’ fuels (gaseous fuels, electricity, as well as an aggregation of any other clean fuels like alcohol) are produced by aggregating estimates of relevant fuel types. The model was used to derive clean fuel use estimates for 191 countries (ref. Stoner, O., Shaddick, G., Economou, T., Gumy, S., Lewis, J., Lucio, I., Ruggeri, G. and Adair-Rohani, H. (2020), Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking. J. R. Stat. Soc. C, 69: 815-839). Countries classified by the World Bank as high income (57 countries) in the 2022 fiscal year are assumed to have universal access to clean fuels and technologies for cooking.


Zimbabwe

iso2Code: ZW

iso2code: XH

value: Blend

capitalCity: Harare

country_code: ZWE

country_name: Zimbabwe

value: CC BY-4.0

value: Access to clean fuels and technologies for cooking, urban is the proportion of urban population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels.


name: Access to clean fuels and technologies for cooking (% of population)

sourceNone: Access to clean fuels and technologies for cooking is the proportion of total population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels.

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


Africa Eastern and Southern

iso2Code: ZH

value: Aggregates

country_code: AFE

country_name: Africa Eastern and Southern

value: Access to clean fuels and technologies for cooking  (% of population)

value: Access to clean fuels and technologies for cooking is the proportion of total population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels.

value: Annual

value: Environment: Energy production & use


value: World Development Indicators

Afghanistan

iso2Code: AF

value: South Asia

value: Low income

iso2code: XI

capitalCity: Kabul

country_code: AFG

country_name: Afghanistan

value: Weighted average

value: IEA, IRENA, UNSD, World Bank, WHO. 2023. Tracking SDG 7: The Energy Progress Report. World Bank, Washington DC. © World Bank. License: Creative Commons Attribution—NonCommercial 3.0 IGO (CC BY-NC 3.0 IGO).


value: Environment

Africa Western and Central

iso2Code: ZI

country_code: AFW

country_name: Africa Western and Central

value: Data for access to clean fuels and technologies for cooking are based on the World Health Organization’s (WHO) Global Household Energy Database. They are collected among different sources: only data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). Trends in the proportion of the population using each fuel type are estimated using a single multivariate hierarchical model, with urban and rural disaggregation. Estimates for overall ‘polluting’ fuels (unprocessed biomass, charcoal, coal, and kerosene) and ‘clean’ fuels (gaseous fuels, electricity, as well as an aggregation of any other clean fuels like alcohol) are produced by aggregating estimates of relevant fuel types. The model was used to derive clean fuel use estimates for 191 countries (ref. Stoner, O., Shaddick, G., Economou, T., Gumy, S., Lewis, J., Lucio, I., Ruggeri, G. and Adair-Rohani, H. (2020), Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking. J. R. Stat. Soc. C, 69: 815-839). Countries classified by the World Bank as high income (57 countries) in the 2022 fiscal year are assumed to have universal access to clean fuels and technologies for cooking.


Angola

iso2Code: AO

value: Sub-Saharan Africa

value: Sub-Saharan Africa (excluding high income)

iso2code: XN

value: Lower middle income

value: IBRD

capitalCity: Luanda

country_code: AGO

country_name: Angola

value: CC BY-4.0


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


Andorra

iso2Code: AD

value: High income

value: Not classified

capitalCity: Andorra la Vella

country_code: AND

country_name: Andorra

value: Access to clean fuels and technologies for cooking  (% of population)

value: Access to clean fuels and technologies for cooking is the proportion of total population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels.

value: Annual


value: World Development Indicators

Arab World

value: Aggregates

country_code: ARB

country_name: Arab World

value: Weighted average

value: Environment: Energy production & use


value: Environment

United Arab Emirates

iso2Code: AE

iso2code: ZQ

value: Middle East & North Africa

capitalCity: Abu Dhabi

country_code: ARE

country_name: United Arab Emirates

value: IEA, IRENA, UNSD, World Bank, WHO. 2023. Tracking SDG 7: The Energy Progress Report. World Bank, Washington DC. © World Bank. License: Creative Commons Attribution—NonCommercial 3.0 IGO (CC BY-NC 3.0 IGO).

value: Data for access to clean fuels and technologies for cooking are based on the World Health Organization’s (WHO) Global Household Energy Database. They are collected among different sources: only data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). Trends in the proportion of the population using each fuel type are estimated using a single multivariate hierarchical model, with urban and rural disaggregation. Estimates for overall ‘polluting’ fuels (unprocessed biomass, charcoal, coal, and kerosene) and ‘clean’ fuels (gaseous fuels, electricity, as well as an aggregation of any other clean fuels like alcohol) are produced by aggregating estimates of relevant fuel types. The model was used to derive clean fuel use estimates for 191 countries (ref. Stoner, O., Shaddick, G., Economou, T., Gumy, S., Lewis, J., Lucio, I., Ruggeri, G. and Adair-Rohani, H. (2020), Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking. J. R. Stat. Soc. C, 69: 815-839). Countries classified by the World Bank as high income (57 countries) in the 2022 fiscal year are assumed to have universal access to clean fuels and technologies for cooking.


Argentina

iso2Code: AR

value: Latin America & Caribbean

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

iso2code: XF

value: IBRD

capitalCity: Buenos Aires

country_code: ARG

country_name: Argentina

value: CC BY-4.0


Armenia

iso2Code: AM

value: Europe & Central Asia

value: Europe & Central Asia (excluding high income)

value: Upper middle income

capitalCity: Yerevan

country_code: ARM

country_name: Armenia


American Samoa

iso2Code: AS

value: East Asia & Pacific

iso2code: XD

value: High income

value: Not classified

capitalCity: Pago Pago

country_code: ASM

country_name: American Samoa

value: Access to clean fuels and technologies for cooking  (% of population)

value: Access to clean fuels and technologies for cooking is the proportion of total population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels.


value: World Development Indicators

Antigua and Barbuda

iso2Code: AG

iso2code: ZJ

capitalCity: Saint John's

country_code: ATG

country_name: Antigua and Barbuda

value: Annual

value: Weighted average

value: Environment: Energy production & use


value: Environment

Australia

iso2Code: AU

iso2code: XX

capitalCity: Canberra

country_code: AUS

country_name: Australia

value: IEA, IRENA, UNSD, World Bank, WHO. 2023. Tracking SDG 7: The Energy Progress Report. World Bank, Washington DC. © World Bank. License: Creative Commons Attribution—NonCommercial 3.0 IGO (CC BY-NC 3.0 IGO).

value: Data for access to clean fuels and technologies for cooking are based on the World Health Organization’s (WHO) Global Household Energy Database. They are collected among different sources: only data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). Trends in the proportion of the population using each fuel type are estimated using a single multivariate hierarchical model, with urban and rural disaggregation. Estimates for overall ‘polluting’ fuels (unprocessed biomass, charcoal, coal, and kerosene) and ‘clean’ fuels (gaseous fuels, electricity, as well as an aggregation of any other clean fuels like alcohol) are produced by aggregating estimates of relevant fuel types. The model was used to derive clean fuel use estimates for 191 countries (ref. Stoner, O., Shaddick, G., Economou, T., Gumy, S., Lewis, J., Lucio, I., Ruggeri, G. and Adair-Rohani, H. (2020), Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking. J. R. Stat. Soc. C, 69: 815-839). Countries classified by the World Bank as high income (57 countries) in the 2022 fiscal year are assumed to have universal access to clean fuels and technologies for cooking.


Austria

iso2Code: AT

capitalCity: Vienna

country_code: AUT

country_name: Austria


Azerbaijan

iso2Code: AZ

value: IBRD

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: CC BY-4.0


Belgium

iso2Code: BE

value: Europe & Central Asia

value: High income

capitalCity: Brussels

country_code: BEL

country_name: Belgium


Benin

iso2Code: BJ

iso2code: XN

value: Lower middle income

capitalCity: Porto-Novo

country_code: BEN

country_name: Benin

value: Access to clean fuels and technologies for cooking  (% of population)


value: World Development Indicators

Burkina Faso

iso2Code: BF

capitalCity: Ouagadougou

country_code: BFA

country_name: Burkina Faso

value: Access to clean fuels and technologies for cooking is the proportion of total population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels.


Bangladesh

iso2Code: BD

value: South Asia

capitalCity: Dhaka

country_code: BGD

country_name: Bangladesh

value: Annual

value: Weighted average


value: Environment

Bulgaria

iso2Code: BG

value: Europe & Central Asia (excluding high income)

iso2code: XT

value: Upper middle income

iso2code: XF

capitalCity: Sofia

country_code: BGR

country_name: Bulgaria

value: IEA, IRENA, UNSD, World Bank, WHO. 2023. Tracking SDG 7: The Energy Progress Report. World Bank, Washington DC. © World Bank. License: Creative Commons Attribution—NonCommercial 3.0 IGO (CC BY-NC 3.0 IGO).

value: Environment: Energy production & use


Bahrain

iso2Code: BH

iso2code: ZQ

value: Middle East & North Africa

iso2code: XD

value: Not classified

capitalCity: Manama

country_code: BHR

country_name: Bahrain

value: Data for access to clean fuels and technologies for cooking are based on the World Health Organization’s (WHO) Global Household Energy Database. They are collected among different sources: only data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). Trends in the proportion of the population using each fuel type are estimated using a single multivariate hierarchical model, with urban and rural disaggregation. Estimates for overall ‘polluting’ fuels (unprocessed biomass, charcoal, coal, and kerosene) and ‘clean’ fuels (gaseous fuels, electricity, as well as an aggregation of any other clean fuels like alcohol) are produced by aggregating estimates of relevant fuel types. The model was used to derive clean fuel use estimates for 191 countries (ref. Stoner, O., Shaddick, G., Economou, T., Gumy, S., Lewis, J., Lucio, I., Ruggeri, G. and Adair-Rohani, H. (2020), Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking. J. R. Stat. Soc. C, 69: 815-839). Countries classified by the World Bank as high income (57 countries) in the 2022 fiscal year are assumed to have universal access to clean fuels and technologies for cooking.


Bahamas, The

iso2Code: BS

iso2code: ZJ

value: Latin America & Caribbean

iso2code: XX

capitalCity: Nassau

country_code: BHS

country_name: Bahamas, The

value: CC BY-4.0


Bosnia and Herzegovina

iso2Code: BA

value: Europe & Central Asia

value: IBRD

capitalCity: Sarajevo

country_code: BIH

country_name: Bosnia and Herzegovina


value: World Development Indicators

Belarus

iso2Code: BY

capitalCity: Minsk

country_code: BLR

country_name: Belarus

value: Access to clean fuels and technologies for cooking  (% of population)


Belize

iso2Code: BZ

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

capitalCity: Belmopan

country_code: BLZ

country_name: Belize

value: Access to clean fuels and technologies for cooking is the proportion of total population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels.


Bermuda

iso2Code: BM

iso2code: XU

value: North America

value: High income

capitalCity: Hamilton

country_code: BMU

country_name: Bermuda

value: Annual

value: Weighted average


value: Environment

Bolivia

iso2Code: BO

iso2code: XN

value: Lower middle income

capitalCity: La Paz

country_code: BOL

country_name: Bolivia

value: IEA, IRENA, UNSD, World Bank, WHO. 2023. Tracking SDG 7: The Energy Progress Report. World Bank, Washington DC. © World Bank. License: Creative Commons Attribution—NonCommercial 3.0 IGO (CC BY-NC 3.0 IGO).


Brazil

iso2Code: BR

value: Upper middle income

capitalCity: Brasilia

country_code: BRA

country_name: Brazil

value: Environment: Energy production & use


Barbados

iso2Code: BB

value: Latin America & Caribbean

value: Not classified

capitalCity: Bridgetown

country_code: BRB

country_name: Barbados

value: Data for access to clean fuels and technologies for cooking are based on the World Health Organization’s (WHO) Global Household Energy Database. They are collected among different sources: only data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). Trends in the proportion of the population using each fuel type are estimated using a single multivariate hierarchical model, with urban and rural disaggregation. Estimates for overall ‘polluting’ fuels (unprocessed biomass, charcoal, coal, and kerosene) and ‘clean’ fuels (gaseous fuels, electricity, as well as an aggregation of any other clean fuels like alcohol) are produced by aggregating estimates of relevant fuel types. The model was used to derive clean fuel use estimates for 191 countries (ref. Stoner, O., Shaddick, G., Economou, T., Gumy, S., Lewis, J., Lucio, I., Ruggeri, G. and Adair-Rohani, H. (2020), Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking. J. R. Stat. Soc. C, 69: 815-839). Countries classified by the World Bank as high income (57 countries) in the 2022 fiscal year are assumed to have universal access to clean fuels and technologies for cooking.


Brunei Darussalam

iso2Code: BN

value: East Asia & Pacific

capitalCity: Bandar Seri Begawan

country_code: BRN

country_name: Brunei Darussalam

value: CC BY-4.0


value: World Development Indicators

Bhutan

iso2Code: BT

value: South Asia

iso2code: XI

value: IDA

capitalCity: Thimphu

country_code: BTN

country_name: Bhutan

value: Access to clean fuels and technologies for cooking  (% of population)


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: Access to clean fuels and technologies for cooking is the proportion of total population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels.


value: Environment

Central African Republic

iso2Code: CF

iso2code: XM

value: Low income

capitalCity: Bangui

country_code: CAF

country_name: Central African Republic

value: Annual

value: Weighted average


Canada

iso2Code: CA

value: North America

iso2code: XD

value: High income

iso2code: XX

capitalCity: Ottawa

country_code: CAN

country_name: Canada

value: IEA, IRENA, UNSD, World Bank, WHO. 2023. Tracking SDG 7: The Energy Progress Report. World Bank, Washington DC. © World Bank. License: Creative Commons Attribution—NonCommercial 3.0 IGO (CC BY-NC 3.0 IGO).

value: Environment: Energy production & use


Central Europe and the Baltics

value: Aggregates

country_code: CEB

country_name: Central Europe and the Baltics

value: CC BY-4.0

value: Data for access to clean fuels and technologies for cooking are based on the World Health Organization’s (WHO) Global Household Energy Database. They are collected among different sources: only data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). Trends in the proportion of the population using each fuel type are estimated using a single multivariate hierarchical model, with urban and rural disaggregation. Estimates for overall ‘polluting’ fuels (unprocessed biomass, charcoal, coal, and kerosene) and ‘clean’ fuels (gaseous fuels, electricity, as well as an aggregation of any other clean fuels like alcohol) are produced by aggregating estimates of relevant fuel types. The model was used to derive clean fuel use estimates for 191 countries (ref. Stoner, O., Shaddick, G., Economou, T., Gumy, S., Lewis, J., Lucio, I., Ruggeri, G. and Adair-Rohani, H. (2020), Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking. J. R. Stat. Soc. C, 69: 815-839). Countries classified by the World Bank as high income (57 countries) in the 2022 fiscal year are assumed to have universal access to clean fuels and technologies for cooking.


value: World Development Indicators

Switzerland

iso2Code: CH

value: Europe & Central Asia

value: Not classified

capitalCity: Bern

country_code: CHE

country_name: Switzerland


Channel Islands

iso2Code: JG

country_code: CHI

country_name: Channel Islands

value: Access to clean fuels and technologies for cooking  (% of population)


Chile

iso2Code: CL

iso2code: ZJ

value: Latin America & Caribbean

value: IBRD

capitalCity: Santiago

country_code: CHL

country_name: Chile


value: Environment

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

value: Access to clean fuels and technologies for cooking is the proportion of total population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels.


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: Annual

value: Weighted average


value: World Development Indicators

Cameroon

iso2Code: CM

iso2code: XH

value: Blend

capitalCity: Yaounde

country_code: CMR

country_name: Cameroon

value: CC BY-4.0

value: IEA, IRENA, UNSD, World Bank, WHO. 2023. Tracking SDG 7: The Energy Progress Report. World Bank, Washington DC. © World Bank. License: Creative Commons Attribution—NonCommercial 3.0 IGO (CC BY-NC 3.0 IGO).

value: Environment: Energy production & use

value: Data for access to clean fuels and technologies for cooking are based on the World Health Organization’s (WHO) Global Household Energy Database. They are collected among different sources: only data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). Trends in the proportion of the population using each fuel type are estimated using a single multivariate hierarchical model, with urban and rural disaggregation. Estimates for overall ‘polluting’ fuels (unprocessed biomass, charcoal, coal, and kerosene) and ‘clean’ fuels (gaseous fuels, electricity, as well as an aggregation of any other clean fuels like alcohol) are produced by aggregating estimates of relevant fuel types. The model was used to derive clean fuel use estimates for 191 countries (ref. Stoner, O., Shaddick, G., Economou, T., Gumy, S., Lewis, J., Lucio, I., Ruggeri, G. and Adair-Rohani, H. (2020), Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking. J. R. Stat. Soc. C, 69: 815-839). Countries classified by the World Bank as high income (57 countries) in the 2022 fiscal year are assumed to have universal access to clean fuels and technologies for cooking.


value: Environment

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: Access to clean fuels and technologies for cooking  (% of population)


Congo, Rep.

iso2Code: CG

capitalCity: Brazzaville

country_code: COG

country_name: Congo, Rep.


Colombia

iso2Code: CO

value: Latin America & Caribbean

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

iso2code: XT

value: Upper middle income

iso2code: XF

value: IBRD

capitalCity: Bogota

country_code: COL

country_name: Colombia


Comoros

iso2Code: KM

value: Sub-Saharan Africa

value: Sub-Saharan Africa (excluding high income)

value: Lower middle income

capitalCity: Moroni

country_code: COM

country_name: Comoros

value: Access to clean fuels and technologies for cooking is the proportion of total population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels.


value: World Development Indicators

Cabo Verde

iso2Code: CV

capitalCity: Praia

country_code: CPV

country_name: Cabo Verde

value: Annual

value: Weighted average


Costa Rica

iso2Code: CR

iso2code: ZJ

capitalCity: San Jose

country_code: CRI

country_name: Costa Rica

value: CC BY-4.0

value: IEA, IRENA, UNSD, World Bank, WHO. 2023. Tracking SDG 7: The Energy Progress Report. World Bank, Washington DC. © World Bank. License: Creative Commons Attribution—NonCommercial 3.0 IGO (CC BY-NC 3.0 IGO).


Caribbean small states

value: Aggregates

country_code: CSS

country_name: Caribbean small states

value: Environment: Energy production & use

value: Data for access to clean fuels and technologies for cooking are based on the World Health Organization’s (WHO) Global Household Energy Database. They are collected among different sources: only data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). Trends in the proportion of the population using each fuel type are estimated using a single multivariate hierarchical model, with urban and rural disaggregation. Estimates for overall ‘polluting’ fuels (unprocessed biomass, charcoal, coal, and kerosene) and ‘clean’ fuels (gaseous fuels, electricity, as well as an aggregation of any other clean fuels like alcohol) are produced by aggregating estimates of relevant fuel types. The model was used to derive clean fuel use estimates for 191 countries (ref. Stoner, O., Shaddick, G., Economou, T., Gumy, S., Lewis, J., Lucio, I., Ruggeri, G. and Adair-Rohani, H. (2020), Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking. J. R. Stat. Soc. C, 69: 815-839). Countries classified by the World Bank as high income (57 countries) in the 2022 fiscal year are assumed to have universal access to clean fuels and technologies for cooking.


value: Environment

Cuba

iso2Code: CU

iso2code: XX

value: Not classified

capitalCity: Havana

country_code: CUB

country_name: Cuba

value: Access to clean fuels and technologies for cooking  (% of population)


Curacao

iso2Code: CW

value: Latin America & Caribbean

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

iso2code: XI

value: IDA

capitalCity: Djibouti

country_code: DJI

country_name: Djibouti


value: World Development Indicators

Dominica

iso2Code: DM

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

iso2code: XT

value: Upper middle income

iso2code: XH

value: Blend

capitalCity: Roseau

country_code: DMA

country_name: Dominica

value: Access to clean fuels and technologies for cooking is the proportion of total population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels.


Denmark

iso2Code: DK

capitalCity: Copenhagen

country_code: DNK

country_name: Denmark

value: Annual

value: CC BY-4.0

value: Weighted average

value: IEA, IRENA, UNSD, World Bank, WHO. 2023. Tracking SDG 7: The Energy Progress Report. World Bank, Washington DC. © World Bank. License: Creative Commons Attribution—NonCommercial 3.0 IGO (CC BY-NC 3.0 IGO).


value: Environment

Dominican Republic

iso2Code: DO

iso2code: ZJ

iso2code: XF

value: IBRD

capitalCity: Santo Domingo

country_code: DOM

country_name: Dominican Republic

value: Environment: Energy production & use

value: Data for access to clean fuels and technologies for cooking are based on the World Health Organization’s (WHO) Global Household Energy Database. They are collected among different sources: only data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). Trends in the proportion of the population using each fuel type are estimated using a single multivariate hierarchical model, with urban and rural disaggregation. Estimates for overall ‘polluting’ fuels (unprocessed biomass, charcoal, coal, and kerosene) and ‘clean’ fuels (gaseous fuels, electricity, as well as an aggregation of any other clean fuels like alcohol) are produced by aggregating estimates of relevant fuel types. The model was used to derive clean fuel use estimates for 191 countries (ref. Stoner, O., Shaddick, G., Economou, T., Gumy, S., Lewis, J., Lucio, I., Ruggeri, G. and Adair-Rohani, H. (2020), Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking. J. R. Stat. Soc. C, 69: 815-839). Countries classified by the World Bank as high income (57 countries) in the 2022 fiscal year are assumed to have universal access to clean fuels and technologies for cooking.


Algeria

iso2Code: DZ

value: Lower middle income

capitalCity: Algiers

country_code: DZA

country_name: Algeria

value: Access to clean fuels and technologies for cooking  (% of population)


name: East Asia & Pacific (excluding high income)

value: Aggregates

country_code: EAP


country_code: EAR

country_name: Early-demographic dividend


country_code: EAS

country_name: East Asia & Pacific


name: Europe & Central Asia (excluding high income)

country_code: ECA


country_code: ECS

country_name: Europe & Central Asia


Ecuador

iso2Code: EC

value: Latin America & Caribbean

capitalCity: Quito

country_code: ECU

country_name: Ecuador


value: World Development Indicators

Egypt, Arab Rep.

iso2Code: EG

value: Middle East & North Africa

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

capitalCity: Cairo

country_code: EGY

country_name: Egypt, Arab Rep.


Euro area

iso2Code: XC

country_code: EMU

country_name: Euro area


Eritrea

iso2Code: ER

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

iso2code: XM

value: Low income

value: IDA

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: Access to clean fuels and technologies for cooking is the proportion of total population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels.

value: Annual

value: CC BY-4.0

value: Weighted average


value: Environment

Estonia

iso2Code: EE

capitalCity: Tallinn

country_code: EST

country_name: Estonia

value: Access to clean fuels and technologies for cooking  (% of population)

value: IEA, IRENA, UNSD, World Bank, WHO. 2023. Tracking SDG 7: The Energy Progress Report. World Bank, Washington DC. © World Bank. License: Creative Commons Attribution—NonCommercial 3.0 IGO (CC BY-NC 3.0 IGO).

value: Environment: Energy production & use

value: Data for access to clean fuels and technologies for cooking are based on the World Health Organization’s (WHO) Global Household Energy Database. They are collected among different sources: only data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). Trends in the proportion of the population using each fuel type are estimated using a single multivariate hierarchical model, with urban and rural disaggregation. Estimates for overall ‘polluting’ fuels (unprocessed biomass, charcoal, coal, and kerosene) and ‘clean’ fuels (gaseous fuels, electricity, as well as an aggregation of any other clean fuels like alcohol) are produced by aggregating estimates of relevant fuel types. The model was used to derive clean fuel use estimates for 191 countries (ref. Stoner, O., Shaddick, G., Economou, T., Gumy, S., Lewis, J., Lucio, I., Ruggeri, G. and Adair-Rohani, H. (2020), Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking. J. R. Stat. Soc. C, 69: 815-839). Countries classified by the World Bank as high income (57 countries) in the 2022 fiscal year are assumed to have universal access to clean fuels and technologies for cooking.


value: World Development Indicators

Ethiopia

iso2Code: ET

iso2code: XI

capitalCity: Addis Ababa

country_code: ETH

country_name: Ethiopia


European Union

iso2Code: EU

value: Aggregates

country_code: EUU

country_name: European Union


name: Fragile and conflict affected situations

country_code: FCS


Finland

iso2Code: FI

capitalCity: Helsinki

country_code: FIN

country_name: Finland


Fiji

iso2Code: FJ

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

iso2code: XT

value: Upper middle income

iso2code: XH

value: Blend

capitalCity: Suva

country_code: FJI

country_name: Fiji


France

iso2Code: FR

value: Europe & Central Asia

value: High income

capitalCity: Paris

country_code: FRA

country_name: France


Faroe Islands

iso2Code: FO

value: Not classified

capitalCity: Torshavn

country_code: FRO

country_name: Faroe Islands

value: Access to clean fuels and technologies for cooking is the proportion of total population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels.


Micronesia, Fed. Sts.

iso2Code: FM

iso2code: XN

value: Lower middle income

value: IDA

capitalCity: Palikir

country_code: FSM

country_name: Micronesia, Fed. Sts.

value: Annual

value: CC BY-4.0


value: Environment

Gabon

iso2Code: GA

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

iso2code: XF

value: IBRD

capitalCity: Libreville

country_code: GAB

country_name: Gabon

value: Access to clean fuels and technologies for cooking  (% of population)

value: Weighted average

value: IEA, IRENA, UNSD, World Bank, WHO. 2023. Tracking SDG 7: The Energy Progress Report. World Bank, Washington DC. © World Bank. License: Creative Commons Attribution—NonCommercial 3.0 IGO (CC BY-NC 3.0 IGO).


value: World Development Indicators

United Kingdom

iso2Code: GB

iso2code: XD

iso2code: XX

capitalCity: London

country_code: GBR

country_name: United Kingdom

value: Environment: Energy production & use

value: Data for access to clean fuels and technologies for cooking are based on the World Health Organization’s (WHO) Global Household Energy Database. They are collected among different sources: only data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). Trends in the proportion of the population using each fuel type are estimated using a single multivariate hierarchical model, with urban and rural disaggregation. Estimates for overall ‘polluting’ fuels (unprocessed biomass, charcoal, coal, and kerosene) and ‘clean’ fuels (gaseous fuels, electricity, as well as an aggregation of any other clean fuels like alcohol) are produced by aggregating estimates of relevant fuel types. The model was used to derive clean fuel use estimates for 191 countries (ref. Stoner, O., Shaddick, G., Economou, T., Gumy, S., Lewis, J., Lucio, I., Ruggeri, G. and Adair-Rohani, H. (2020), Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking. J. R. Stat. Soc. C, 69: 815-839). Countries classified by the World Bank as high income (57 countries) in the 2022 fiscal year are assumed to have universal access to clean fuels and technologies for cooking.


Georgia

iso2Code: GE

value: Europe & Central Asia

value: Europe & Central Asia (excluding high income)

value: Upper middle income

capitalCity: Tbilisi

country_code: GEO

country_name: Georgia


Ghana

iso2Code: GH

value: Lower middle income

iso2code: XI

capitalCity: Accra

country_code: GHA

country_name: Ghana

value: Access to clean fuels and technologies for cooking is the proportion of total population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels.


Gibraltar

iso2Code: GI

value: High income

value: Not classified

country_code: GIB

country_name: Gibraltar

value: Annual


value: Environment

Guinea

iso2Code: GN

value: Sub-Saharan Africa

value: IDA

capitalCity: Conakry

country_code: GIN

country_name: Guinea

value: CC BY-4.0


Gambia, The

iso2Code: GM

value: Sub-Saharan Africa (excluding high income)

iso2code: XM

value: Low income

capitalCity: Banjul

country_code: GMB

country_name: Gambia, The

value: Access to clean fuels and technologies for cooking  (% of population)

value: Weighted average


value: World Development Indicators

Guinea-Bissau

iso2Code: GW

capitalCity: Bissau

country_code: GNB

country_name: Guinea-Bissau

value: IEA, IRENA, UNSD, World Bank, WHO. 2023. Tracking SDG 7: The Energy Progress Report. World Bank, Washington DC. © World Bank. License: Creative Commons Attribution—NonCommercial 3.0 IGO (CC BY-NC 3.0 IGO).

value: Environment: Energy production & use

value: Data for access to clean fuels and technologies for cooking are based on the World Health Organization’s (WHO) Global Household Energy Database. They are collected among different sources: only data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). Trends in the proportion of the population using each fuel type are estimated using a single multivariate hierarchical model, with urban and rural disaggregation. Estimates for overall ‘polluting’ fuels (unprocessed biomass, charcoal, coal, and kerosene) and ‘clean’ fuels (gaseous fuels, electricity, as well as an aggregation of any other clean fuels like alcohol) are produced by aggregating estimates of relevant fuel types. The model was used to derive clean fuel use estimates for 191 countries (ref. Stoner, O., Shaddick, G., Economou, T., Gumy, S., Lewis, J., Lucio, I., Ruggeri, G. and Adair-Rohani, H. (2020), Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking. J. R. Stat. Soc. C, 69: 815-839). Countries classified by the World Bank as high income (57 countries) in the 2022 fiscal year are assumed to have universal access to clean fuels and technologies for cooking.


Equatorial Guinea

iso2Code: GQ

iso2code: XT

value: Upper middle income

value: IBRD

capitalCity: Malabo

country_code: GNQ

country_name: Equatorial Guinea


Greece

iso2Code: GR

value: Europe & Central Asia

value: High income

capitalCity: Athens

country_code: GRC

country_name: Greece

value: Access to clean fuels and technologies for cooking is the proportion of total population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels.


value: Environment

Grenada

iso2Code: GD

iso2code: ZJ

value: Latin America & Caribbean

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

iso2code: XH

value: Blend

capitalCity: Saint George's

country_code: GRD

country_name: Grenada

value: Annual