value: World Development Indicators

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: Weighted average

value: Access to clean fuels and technologies for cooking, rural is the proportion of rural 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, rural (% of rural population)

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

value: Environment

San Marino

iso2Code: SM

value: Europe & Central Asia

iso2code: XD

value: High income

iso2code: XX

value: Not classified

capitalCity: San Marino

country_code: SMR

country_name: San Marino

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: Annual

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.

schema: wb


Somalia

iso2Code: SO

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: Mogadishu

country_code: SOM

country_name: Somalia

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


value: World Development Indicators

Serbia

iso2Code: RS

value: Europe & Central Asia (excluding high income)

iso2code: XT

value: Upper middle income

value: IBRD

capitalCity: Belgrade

country_code: SRB

country_name: Serbia


value: Environment

name: Sub-Saharan Africa (excluding high income)

value: Aggregates

country_code: SSA

value: Weighted average

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


South Sudan

iso2Code: SS

capitalCity: Juba

country_code: SSD

country_name: South Sudan

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).


country_code: SSF

country_name: Sub-Saharan Africa

value: Annual

value: Environment: Energy production & use


country_code: SST

country_name: Small states

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.


Sao Tome and Principe

iso2Code: ST

value: Sub-Saharan Africa

value: Sub-Saharan Africa (excluding high income)

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)

capitalCity: Paramaribo

country_code: SUR

country_name: Suriname

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


value: World Development Indicators

Slovak Republic

iso2Code: SK

value: Europe & Central Asia

value: High income

value: Not classified

capitalCity: Bratislava

country_code: SVK

country_name: Slovak Republic


value: Environment

Slovenia

iso2Code: SI

capitalCity: Ljubljana

country_code: SVN

country_name: Slovenia

value: Weighted average


Sweden

iso2Code: SE

capitalCity: Stockholm

country_code: SWE

country_name: Sweden

value: CC BY-4.0

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


Eswatini

iso2Code: SZ

iso2code: XF

value: IBRD

capitalCity: Mbabane

country_code: SWZ

country_name: Eswatini

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: Annual


Sint Maarten (Dutch part)

iso2Code: SX

iso2code: ZJ

iso2code: XD

iso2code: XX

capitalCity: Philipsburg

country_code: SXM

country_name: Sint Maarten (Dutch part)

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.


Seychelles

iso2Code: SC

iso2code: ZG

value: Sub-Saharan Africa

capitalCity: Victoria

country_code: SYC

country_name: Seychelles


Syrian Arab Republic

iso2Code: SY

iso2code: ZQ

value: Middle East & North Africa

iso2code: XQ

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

iso2code: XM

value: Low income

iso2code: XI

value: IDA

capitalCity: Damascus

country_code: SYR

country_name: Syrian Arab Republic


value: World Development Indicators

Turks and Caicos Islands

iso2Code: TC

value: Latin America & Caribbean

capitalCity: Grand Turk

country_code: TCA

country_name: Turks and Caicos Islands

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


value: Environment

Chad

iso2Code: TD

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

capitalCity: N'Djamena

country_code: TCD

country_name: Chad


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

value: Aggregates

country_code: TEA

value: Weighted average

value: CC BY-4.0


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).

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


Togo

iso2Code: TG

capitalCity: Lome

country_code: TGO

country_name: Togo

value: Annual

value: Environment: Energy production & use


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

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

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: Environment

Turkmenistan

iso2Code: TM

iso2code: XF

capitalCity: Ashgabat

country_code: TKM

country_name: Turkmenistan

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


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

value: Aggregates

country_code: TLA

value: Weighted average

value: CC BY-4.0


Timor-Leste

iso2Code: TL

iso2code: XH

value: Blend

capitalCity: Dili

country_code: TLS

country_name: Timor-Leste

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: Annual

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


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

country_code: TMN

value: Environment: Energy production & use


Tonga

iso2Code: TO

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

value: Upper middle income

capitalCity: Nuku'alofa

country_code: TON

country_name: Tonga


value: World Development Indicators

country_code: TSA

country_name: South Asia (IDA & IBRD)

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: 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: Environment

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, rural (% of rural population)


Turkiye

iso2Code: TR

value: Europe & Central Asia

value: Europe & Central Asia (excluding high income)

capitalCity: Ankara

country_code: TUR

country_name: Turkey

value: Weighted average

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).


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: Access to clean fuels and technologies for cooking, rural is the proportion of rural 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

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

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

Uganda

iso2Code: UG

iso2code: XM

value: Low income

capitalCity: Kampala

country_code: UGA

country_name: Uganda


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

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


Upper middle income

iso2Code: XT

value: Aggregates

country_code: UMC

country_name: Upper middle income

value: Weighted average

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).


Uruguay

iso2Code: UY

iso2code: ZJ

value: Latin America & Caribbean

value: High income

capitalCity: Montevideo

country_code: URY

country_name: Uruguay

value: Annual


value: World Development Indicators

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: Access to clean fuels and technologies for cooking, rural is the proportion of rural 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

Uzbekistan

iso2Code: UZ

value: Europe & Central Asia (excluding high income)

iso2code: XH

value: Blend

capitalCity: Tashkent

country_code: UZB

country_name: Uzbekistan

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.


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

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


Venezuela, RB

iso2Code: VE

iso2code: XY

value: IBRD

capitalCity: Caracas

country_code: VEN

country_name: Venezuela, RB

value: Weighted average

value: CC BY-4.0


British Virgin Islands

iso2Code: VG

value: Latin America & Caribbean

value: High income

capitalCity: Road Town

country_code: VGB

country_name: British Virgin 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: World Development Indicators

Virgin Islands (U.S.)

iso2Code: VI

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


value: Environment

Vanuatu

iso2Code: VU

iso2code: XI

value: IDA

capitalCity: Port-Vila

country_code: VUT

country_name: Vanuatu

value: Environment: Energy production & use


World

value: Aggregates

country_code: WLD

country_name: World

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.


Samoa

iso2Code: WS

capitalCity: Apia

country_code: WSM

country_name: Samoa

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


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

value: Weighted average


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: 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: World Development Indicators

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: Annual


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, rural is the proportion of rural 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


Zimbabwe

iso2Code: ZW

iso2code: XH

value: Blend

capitalCity: Harare

country_code: ZWE

country_name: Zimbabwe

value: Access to clean fuels and technologies for cooking, rural (% of rural 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.


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.

Aruba

iso2Code: AW

iso2code: ZJ

value: Latin America & Caribbean

iso2code: XD

value: High income

iso2code: XX

value: Not classified

capitalCity: Oranjestad

country_code: ABW

country_name: Aruba

value: Weighted average


value: World Development Indicators

Africa Eastern and Southern

iso2Code: ZH

value: Aggregates

country_code: AFE

country_name: Africa Eastern and Southern

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: 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

Afghanistan

iso2Code: AF

value: South Asia

value: Low income

iso2code: XI

capitalCity: Kabul

country_code: AFG

country_name: Afghanistan

value: Annual


Africa Western and Central

iso2Code: ZI

country_code: AFW

country_name: Africa Western and Central

value: Environment: Energy production & use


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


Albania

iso2Code: AL

value: Europe & Central Asia

value: Europe & Central Asia (excluding high income)

iso2code: XT

value: Upper middle income

capitalCity: Tirane

country_code: ALB

country_name: Albania

value: 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

Andorra

iso2Code: AD

value: High income

value: Not classified

capitalCity: Andorra la Vella

country_code: AND

country_name: Andorra

value: CC BY-4.0

value: Weighted average


value: Environment

Arab World

value: Aggregates

country_code: ARB

country_name: Arab World

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.


United Arab Emirates

iso2Code: AE

iso2code: ZQ

value: Middle East & North Africa

capitalCity: Abu Dhabi

country_code: ARE

country_name: United Arab Emirates

value: Annual

value: Environment: Energy production & use


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


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

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

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: CC BY-4.0


value: Environment

Antigua and Barbuda

iso2Code: AG

iso2code: ZJ

capitalCity: Saint John's

country_code: ATG

country_name: Antigua and Barbuda

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


Australia

iso2Code: AU

iso2code: XX

capitalCity: Canberra

country_code: AUS

country_name: Australia

value: Annual

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


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: World Development Indicators

Belgium

iso2Code: BE

value: Europe & Central Asia

capitalCity: Brussels

country_code: BEL

country_name: Belgium

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.


Benin

iso2Code: BJ

iso2code: XN

value: Lower middle income

capitalCity: Porto-Novo

country_code: BEN

country_name: Benin


Burkina Faso

iso2Code: BF

capitalCity: Ouagadougou

country_code: BFA

country_name: Burkina Faso

value: CC BY-4.0


value: Environment

Bangladesh

iso2Code: BD

value: South Asia

capitalCity: Dhaka

country_code: BGD

country_name: Bangladesh


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: 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).


Bahrain

iso2Code: BH

iso2code: ZQ

value: Middle East & North Africa

iso2code: XD

value: High income

value: Not classified

capitalCity: Manama

country_code: BHR

country_name: Bahrain

value: Annual

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

Bahamas, The

iso2Code: BS

iso2code: ZJ

value: Latin America & Caribbean

iso2code: XX

capitalCity: Nassau

country_code: BHS

country_name: Bahamas, The


Bosnia and Herzegovina

iso2Code: BA

value: Europe & Central Asia

value: IBRD

capitalCity: Sarajevo

country_code: BIH

country_name: Bosnia and Herzegovina

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

Belarus

iso2Code: BY

capitalCity: Minsk

country_code: BLR

country_name: Belarus

value: CC BY-4.0


Belize

iso2Code: BZ

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

value: Upper middle income

capitalCity: Belmopan

country_code: BLZ

country_name: Belize


Bermuda

iso2Code: BM

iso2code: XU

value: North America

capitalCity: Hamilton

country_code: BMU

country_name: Bermuda

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).


Bolivia

iso2Code: BO

iso2code: XN

value: Lower middle income

capitalCity: La Paz

country_code: BOL

country_name: Bolivia


Brazil

iso2Code: BR

capitalCity: Brasilia

country_code: BRA

country_name: Brazil

value: Annual


Barbados

iso2Code: BB

value: High income

value: Not classified

capitalCity: Bridgetown

country_code: BRB

country_name: Barbados

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


value: World Development Indicators

Brunei Darussalam

iso2Code: BN

value: East Asia & Pacific

capitalCity: Bandar Seri Begawan

country_code: BRN

country_name: Brunei Darussalam

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


Bhutan

iso2Code: BT

value: South Asia

iso2code: XI

value: IDA

capitalCity: Thimphu

country_code: BTN

country_name: Bhutan

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

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: CC BY-4.0


Central African Republic

iso2Code: CF

iso2code: XM

value: Low income

capitalCity: Bangui

country_code: CAF

country_name: Central African Republic

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).


Canada

iso2Code: CA

value: North America

iso2code: XD

value: High income

iso2code: XX

value: Not classified

capitalCity: Ottawa

country_code: CAN

country_name: Canada

value: Annual


value: World Development Indicators

Central Europe and the Baltics

value: Aggregates

country_code: CEB

country_name: Central Europe and the Baltics

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.


Switzerland

iso2Code: CH

value: Europe & Central Asia

capitalCity: Bern

country_code: CHE

country_name: Switzerland

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

Channel Islands

iso2Code: JG

country_code: CHI

country_name: Channel Islands


Chile

iso2Code: CL

iso2code: ZJ

value: Latin America & Caribbean

value: IBRD

capitalCity: Santiago

country_code: CHL

country_name: Chile


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: CC BY-4.0


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: 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

Cameroon

iso2Code: CM

iso2code: XH

value: Blend

capitalCity: Yaounde

country_code: CMR

country_name: Cameroon

value: Annual

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

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: 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.


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: CC BY-4.0


value: World Development Indicators

Cabo Verde

iso2Code: CV

capitalCity: Praia

country_code: CPV

country_name: Cabo Verde

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).


Costa Rica

iso2Code: CR

iso2code: ZJ

capitalCity: San Jose

country_code: CRI

country_name: Costa Rica

value: Annual

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


value: Environment

Caribbean small states

value: Aggregates

country_code: CSS

country_name: Caribbean small states

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.


Cuba

iso2Code: CU

iso2code: XX

value: Not classified

capitalCity: Havana

country_code: CUB

country_name: Cuba

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.


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: CC BY-4.0


value: Environment

Denmark

iso2Code: DK

capitalCity: Copenhagen

country_code: DNK

country_name: Denmark

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


Dominican Republic

iso2Code: DO

iso2code: ZJ

iso2code: XF

value: IBRD

capitalCity: Santo Domingo

country_code: DOM

country_name: Dominican Republic

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: 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: Middle East & North Africa

value: Lower middle income

capitalCity: Algiers

country_code: DZA

country_name: Algeria


name: East Asia & Pacific (excluding high income)

value: Aggregates

country_code: EAP


value: World Development Indicators

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

value: Latin America & Caribbean (excluding high income)

capitalCity: Quito

country_code: ECU

country_name: Ecuador


Egypt, Arab Rep.

iso2Code: EG

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

value: CC BY-4.0


value: Environment

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


value: World Development Indicators

Estonia

iso2Code: EE

capitalCity: Tallinn

country_code: EST

country_name: Estonia

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: 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.


Ethiopia

iso2Code: ET

iso2code: XI

capitalCity: Addis Ababa

country_code: ETH

country_name: Ethiopia

value: CC BY-4.0


value: Environment

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: Annual


Micronesia, Fed. Sts.

iso2Code: FM

iso2code: XN

value: Lower middle income

value: IDA

capitalCity: Palikir

country_code: FSM

country_name: Micronesia, Fed. Sts.

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

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, 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

United Kingdom

iso2Code: GB

iso2code: XD

iso2code: XX

capitalCity: London

country_code: GBR

country_name: United Kingdom

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.


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: Annual


Gibraltar

iso2Code: GI

value: High income

value: Not classified

country_code: GIB

country_name: Gibraltar

value: Weighted average


value: World Development Indicators

Guinea

iso2Code: GN

value: Sub-Saharan Africa

value: IDA

capitalCity: Conakry

country_code: GIN

country_name: Guinea

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).


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, 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

Guinea-Bissau

iso2Code: GW

capitalCity: Bissau

country_code: GNB

country_name: Guinea-Bissau

value: CC BY-4.0

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: Annual


value: World Development Indicators

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: Weighted average


Greenland

iso2Code: GL

iso2code: XD

value: Not classified

capitalCity: Nuuk

country_code: GRL

country_name: Greenland

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).


Guatemala

iso2Code: GT

iso2code: XF

capitalCity: Guatemala City

country_code: GTM

country_name: Guatemala

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

Guam

iso2Code: GU

value: East Asia & Pacific

iso2code: XX

capitalCity: Agana

country_code: GUM

country_name: Guam

value: CC BY-4.0


Guyana

iso2Code: GY

iso2code: XI

value: IDA

capitalCity: Georgetown

country_code: GUY

country_name: Guyana

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.


High income

value: Aggregates

country_code: HIC

country_name: High income


Hong Kong SAR, China

iso2Code: HK

value: High income

country_code: HKG

country_name: Hong Kong, China

value: Annual


value: World Development Indicators

Honduras

iso2Code: HN

value: Latin America & Caribbean

iso2code: XN

value: Lower middle income

capitalCity: Tegucigalpa

country_code: HND

country_name: Honduras


Heavily indebted poor countries (HIPC)

iso2Code: XE

country_code: HPC

country_name: Heavily indebted poor countries (HIPC)

value: Weighted average


Croatia

iso2Code: HR

value: Europe & Central Asia

value: IBRD

capitalCity: Zagreb

country_code: HRV

country_name: Croatia


Haiti

iso2Code: HT

value: Latin America & Caribbean (excluding high income)

capitalCity: Port-au-Prince

country_code: HTI

country_name: Haiti

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

Hungary

iso2Code: HU

value: Not classified

capitalCity: Budapest

country_code: HUN

country_name: Hungary

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.


country_code: IBD

country_name: IBRD only

value: CC BY-4.0

value: Environment: Energy production & use


IDA & IBRD total

iso2Code: ZT

value: Aggregates

country_code: IBT

country_name: IDA & IBRD total

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.


IDA total

iso2Code: XG

country_code: IDA

country_name: IDA total

value: Annual


value: World Development Indicators

IDA blend

iso2Code: XH

country_code: IDB

country_name: IDA blend


Indonesia

iso2Code: ID

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

iso2code: XT

value: Upper middle income

capitalCity: Jakarta

country_code: IDN

country_name: Indonesia


country_code: IDX

country_name: IDA only

value: Weighted average


Isle of Man

iso2Code: IM

value: Europe & Central Asia

iso2code: XD

value: High income

capitalCity: Douglas

country_code: IMN

country_name: Isle of Man


India

iso2Code: IN

value: South Asia

value: Lower middle income

iso2code: XF

value: IBRD

capitalCity: New Delhi

country_code: IND

country_name: India

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

Not classified

iso2Code: XY

country_code: INX

country_name: Not classified

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.


Ireland

iso2Code: IE

iso2code: XX

value: Not classified

capitalCity: Dublin

country_code: IRL

country_name: Ireland

value: CC BY-4.0

value: Environment: Energy production & use


value: World Development Indicators

Iran, Islamic Rep.

iso2Code: IR

iso2code: ZQ

value: Middle East & North Africa

iso2code: XQ

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

iso2code: XN

capitalCity: Tehran

country_code: IRN

country_name: Iran, Islamic Rep.

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.


Iraq

iso2Code: IQ

value: Upper middle income

capitalCity: Baghdad

country_code: IRQ

country_name: Iraq

value: Weighted average


Iceland

iso2Code: IS

value: Europe & Central Asia

value: High income

capitalCity: Reykjavik

country_code: ISL

country_name: Iceland


Israel

iso2Code: IL

country_code: ISR

country_name: Israel


Italy

iso2Code: IT

capitalCity: Rome

country_code: ITA

country_name: Italy


Jamaica

iso2Code: JM

iso2code: ZJ

value: Latin America & Caribbean

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

value: IBRD

capitalCity: Kingston

country_code: JAM

country_name: Jamaica


value: Environment

Jordan

iso2Code: JO

value: Lower middle income

capitalCity: Amman

country_code: JOR

country_name: Jordan

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)


Japan

iso2Code: JP

value: East Asia & Pacific

iso2code: XD

value: Not classified

capitalCity: Tokyo

country_code: JPN

country_name: Japan

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


value: World Development Indicators

Kazakhstan

iso2Code: KZ

value: Europe & Central Asia (excluding high income)

iso2code: XT

iso2code: XF

capitalCity: Astana

country_code: KAZ

country_name: Kazakhstan

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.


Kenya

iso2Code: KE

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

iso2code: XH

value: Blend

capitalCity: Nairobi

country_code: KEN

country_name: Kenya

value: Weighted average


value: Environment

Kyrgyz Republic

iso2Code: KG

value: Europe & Central Asia

iso2code: XN

iso2code: XI

value: IDA

capitalCity: Bishkek

country_code: KGZ

country_name: Kyrgyz Republic


Cambodia

iso2Code: KH

value: East Asia & Pacific (excluding high income)

value: Lower middle income

capitalCity: Phnom Penh

country_code: KHM

country_name: Cambodia

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)


Kiribati

iso2Code: KI

value: East Asia & Pacific

capitalCity: Tarawa

country_code: KIR

country_name: Kiribati

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: World Development Indicators

St. Kitts and Nevis

iso2Code: KN

iso2code: ZJ

value: Latin America & Caribbean

value: High income

value: IBRD

capitalCity: Basseterre

country_code: KNA

country_name: St. Kitts and Nevis

value: Environment: Energy production & use


Korea, Rep.

iso2Code: KR

iso2code: XX

value: Not classified

capitalCity: Seoul

country_code: KOR

country_name: Korea, Rep.

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: Environment

Kuwait

iso2Code: KW

iso2code: ZQ

value: Middle East & North Africa

iso2code: XD

capitalCity: Kuwait City

country_code: KWT

country_name: Kuwait

value: Weighted average


iso2Code: XJ

name: Latin America & Caribbean (excluding high income)

value: Aggregates

country_code: LAC


Lao PDR

iso2Code: LA

value: East Asia & Pacific (excluding high income)

value: Lower middle income

value: IDA

capitalCity: Vientiane

country_code: LAO

country_name: Lao PDR

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).


Lebanon

iso2Code: LB

iso2code: XQ

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

iso2code: XF

capitalCity: Beirut

country_code: LBN

country_name: Lebanon

value: CC BY-4.0

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

Liberia

iso2Code: LR

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

iso2code: XM

value: Low income

capitalCity: Monrovia

country_code: LBR

country_name: Liberia


Libya

iso2Code: LY

iso2code: XT

value: Upper middle income

value: IBRD

capitalCity: Tripoli

country_code: LBY

country_name: Libya

value: Annual

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

St. Lucia

iso2Code: LC

iso2code: ZJ

value: Latin America & Caribbean

value: Latin America & Caribbean (excluding high income)

iso2code: XH

value: Blend

capitalCity: Castries

country_code: LCA

country_name: St. Lucia

value: Weighted average


Latin America & Caribbean

value: Aggregates

country_code: LCN

country_name: Latin America & Caribbean

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: World Development Indicators

iso2Code: XL

name: Least developed countries: UN classification

country_code: LDC

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.


country_code: LIC

country_name: Low income


Liechtenstein

iso2Code: LI

value: Europe & Central Asia

value: High income

iso2code: XX

value: Not classified

capitalCity: Vaduz

country_code: LIE

country_name: Liechtenstein


Sri Lanka

iso2Code: LK

value: South Asia

iso2code: XN

value: Lower middle income

iso2code: XI

value: IDA

capitalCity: Colombo

country_code: LKA

country_name: Sri Lanka

value: Annual


value: Environment

country_code: LMC

country_name: Lower middle income

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.


Low & middle income

iso2Code: XO

country_code: LMY

country_name: Low & middle income

value: Weighted average


Lesotho

iso2Code: LS

value: Sub-Saharan Africa

value: Sub-Saharan Africa (excluding high income)

capitalCity: Maseru

country_code: LSO

country_name: Lesotho


Late-demographic dividend

value: Aggregates

country_code: LTE

country_name: Late-demographic dividend

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: World Development Indicators

Lithuania

iso2Code: LT

iso2code: XD

capitalCity: Vilnius

country_code: LTU

country_name: Lithuania

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.


Luxembourg

iso2Code: LU

value: Europe & Central Asia

value: High income

value: Not classified

capitalCity: Luxembourg

country_code: LUX

country_name: Luxembourg


Latvia

iso2Code: LV

capitalCity: Riga

country_code: LVA

country_name: Latvia


Macao SAR, China

iso2Code: MO

value: East Asia & Pacific

country_code: MAC

country_name: Macao SAR, China


St. Martin (French part)

iso2Code: MF

value: Latin America & Caribbean

capitalCity: Marigot

country_code: MAF

country_name: St. Martin (French part)

value: Annual


value: Environment

Morocco

iso2Code: MA

iso2code: ZQ

value: Middle East & North Africa

iso2code: XQ

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

value: Lower middle income

iso2code: XF

value: IBRD

capitalCity: Rabat

country_code: MAR

country_name: Morocco

value: Environment: Energy production & use


Monaco

iso2Code: MC

capitalCity: Monaco

country_code: MCO

country_name: Monaco

value: CC BY-4.0

value: Weighted average

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

Moldova

iso2Code: MD

value: Europe & Central Asia (excluding high income)

iso2code: XT

value: Upper middle income

capitalCity: Chisinau

country_code: MDA

country_name: Moldova

value: 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)


Madagascar

iso2Code: MG

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

iso2code: XM

value: Low income

value: IDA

capitalCity: Antananarivo

country_code: MDG

country_name: Madagascar

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

Maldives

iso2Code: MV

value: South Asia

iso2code: XI

capitalCity: Male

country_code: MDV

country_name: Maldives

value: Annual


Middle East & North Africa

value: Aggregates

country_code: MEA

country_name: Middle East & North Africa

value: Environment: Energy production & use


Mexico

iso2Code: MX

iso2code: ZJ

value: Latin America & Caribbean

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

value: IBRD

capitalCity: Mexico City

country_code: MEX

country_name: Mexico

value: CC BY-4.0

value: Weighted average