Greenland

iso2Code: GL

iso2code: XD

value: Not classified

capitalCity: Nuuk

country_code: GRL

country_name: Greenland

value: CC BY-4.0


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

value: World Development Indicators

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

value: Environment

Guatemala

iso2Code: GT

iso2code: ZJ

value: Latin America & Caribbean

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

iso2code: XT

value: Upper middle income

iso2code: XF

value: IBRD

capitalCity: Guatemala City

country_code: GTM

country_name: Guatemala

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: 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


Guam

iso2Code: GU

value: East Asia & Pacific

value: High income

iso2code: XX

capitalCity: Agana

country_code: GUM

country_name: Guam

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

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


Guyana

iso2Code: GY

iso2code: XI

value: IDA

capitalCity: Georgetown

country_code: GUY

country_name: Guyana


High income

value: Aggregates

country_code: HIC

country_name: High income

value: CC BY-4.0


value: World Development Indicators

value: Environment

Hong Kong SAR, China

iso2Code: HK

value: Not classified

country_code: HKG

country_name: Hong Kong, China


Honduras

iso2Code: HN

value: Latin America & Caribbean

value: Latin America & Caribbean (excluding high income)

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: Annual

value: Weighted average


Croatia

iso2Code: HR

value: Europe & Central Asia

value: IBRD

capitalCity: Zagreb

country_code: HRV

country_name: Croatia

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

value: Environment: Energy production & use


Haiti

iso2Code: HT

capitalCity: Port-au-Prince

country_code: HTI

country_name: Haiti

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


Hungary

iso2Code: HU

value: High income

capitalCity: Budapest

country_code: HUN

country_name: Hungary

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


IBRD only

value: Aggregates

country_code: IBD

country_name: IBRD only

value: CC BY-4.0


value: World Development Indicators

value: Environment

IDA & IBRD total

iso2Code: ZT

country_code: IBT

country_name: IDA & IBRD total


IDA total

iso2Code: XG

country_code: IDA

country_name: IDA total


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)

value: Upper middle income

capitalCity: Jakarta

country_code: IDN

country_name: Indonesia


country_code: IDX

country_name: IDA only

value: Annual


Isle of Man

iso2Code: IM

iso2code: XD

value: Not classified

capitalCity: Douglas

country_code: IMN

country_name: Isle of Man

value: Weighted average


India

iso2Code: IN

value: South Asia

value: Lower middle income

iso2code: XF

value: IBRD

capitalCity: New Delhi

country_code: IND

country_name: India


Not classified

iso2Code: XY

country_code: INX

country_name: Not classified

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

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

value: Environment: Energy production & use


Ireland

iso2Code: IE

value: Europe & Central Asia

value: High income

iso2code: XX

capitalCity: Dublin

country_code: IRL

country_name: Ireland

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

value: 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

value: Environment

Iran, Islamic Rep.

iso2Code: IR

iso2code: ZQ

value: Middle East & North Africa

iso2code: XQ

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

capitalCity: Tehran

country_code: IRN

country_name: Iran, Islamic Rep.

value: CC BY-4.0


Iraq

iso2Code: IQ

iso2code: XT

value: Upper middle income

capitalCity: Baghdad

country_code: IRQ

country_name: Iraq

value: Annual


Iceland

iso2Code: IS

value: Not classified

capitalCity: Reykjavik

country_code: ISL

country_name: Iceland

value: Weighted average


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


Jordan

iso2Code: JO

iso2code: XN

value: Lower middle income

capitalCity: Amman

country_code: JOR

country_name: Jordan

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

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

value: Environment: Energy production & use


Japan

iso2Code: JP

value: East Asia & Pacific

iso2code: XD

value: High income

capitalCity: Tokyo

country_code: JPN

country_name: Japan

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

value: 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

value: Environment

Kazakhstan

iso2Code: KZ

value: Europe & Central Asia

value: Europe & Central Asia (excluding high income)

iso2code: XF

capitalCity: Astana

country_code: KAZ

country_name: Kazakhstan


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: Annual

value: CC BY-4.0


Kyrgyz Republic

iso2Code: KG

value: Lower middle income

iso2code: XI

value: IDA

capitalCity: Bishkek

country_code: KGZ

country_name: Kyrgyz Republic

value: Weighted average


Cambodia

iso2Code: KH

value: East Asia & Pacific (excluding high income)

capitalCity: Phnom Penh

country_code: KHM

country_name: Cambodia

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

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

value: Environment: Energy production & use


Kiribati

iso2Code: KI

value: East Asia & Pacific

capitalCity: Tarawa

country_code: KIR

country_name: Kiribati

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

value: 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

value: Environment

St. Kitts and Nevis

iso2Code: KN

value: Latin America & Caribbean

value: High income

value: IBRD

capitalCity: Basseterre

country_code: KNA

country_name: St. Kitts and Nevis


Korea, Rep.

iso2Code: KR

iso2code: XX

value: Not classified

capitalCity: Seoul

country_code: KOR

country_name: Korea, Rep.

value: Annual


Kuwait

iso2Code: KW

iso2code: ZQ

value: Middle East & North Africa

capitalCity: Kuwait City

country_code: KWT

country_name: Kuwait

value: CC BY-4.0


iso2Code: XJ

name: Latin America & Caribbean (excluding high income)

value: Aggregates

country_code: LAC

value: Weighted average


Lao PDR

iso2Code: LA

value: East Asia & Pacific (excluding high income)

iso2code: XN

value: Lower middle income

value: IDA

capitalCity: Vientiane

country_code: LAO

country_name: Lao PDR

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


Lebanon

iso2Code: LB

iso2code: XQ

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

iso2code: XF

capitalCity: Beirut

country_code: LBN

country_name: Lebanon

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

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

value: Environment: Energy production & use


value: World Development Indicators

value: Environment

Liberia

iso2Code: LR

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

iso2code: XM

value: Low income

capitalCity: Monrovia

country_code: LBR

country_name: Liberia

value: 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.


Libya

iso2Code: LY

value: Middle East & North Africa

iso2code: XT

value: Upper middle income

value: IBRD

capitalCity: Tripoli

country_code: LBY

country_name: Libya

value: Annual

value: CC BY-4.0


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

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

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


value: World Development Indicators

value: Environment

iso2Code: XL

name: Least developed countries: UN classification

country_code: LDC

value: Environment: Energy production & use


country_code: LIC

country_name: Low income

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.


Liechtenstein

iso2Code: LI

value: Europe & Central Asia

iso2code: XD

value: High income

iso2code: XX

value: Not classified

capitalCity: Vaduz

country_code: LIE

country_name: Liechtenstein


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


country_code: LMC

country_name: Lower middle income

value: CC BY-4.0


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

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


value: World Development Indicators

value: Environment

Lithuania

iso2Code: LT

capitalCity: Vilnius

country_code: LTU

country_name: Lithuania

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).


Luxembourg

iso2Code: LU

value: Europe & Central Asia

capitalCity: Luxembourg

country_code: LUX

country_name: Luxembourg

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.


Latvia

iso2Code: LV

value: High income

value: Not classified

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


Morocco

iso2Code: MA

iso2code: ZQ

value: Middle East & North Africa

iso2code: XQ

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

value: Lower middle income

iso2code: XF

value: IBRD

capitalCity: Rabat

country_code: MAR

country_name: Morocco

value: CC BY-4.0

value: Weighted average


value: World Development Indicators

Monaco

iso2Code: MC

capitalCity: Monaco

country_code: MCO

country_name: Monaco

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

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


value: Environment

Moldova

iso2Code: MD

value: Europe & Central Asia

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).


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: 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.


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: CC BY-4.0

value: Weighted average


value: World Development Indicators

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

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


value: Environment

Marshall Islands

iso2Code: MH

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

value: Upper middle income

capitalCity: Majuro

country_code: MHL

country_name: Marshall Islands

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


Middle income

iso2Code: XP

country_code: MIC

country_name: 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.


North Macedonia

iso2Code: MK

value: Europe & Central Asia

value: Europe & Central Asia (excluding high income)

capitalCity: Skopje

country_code: MKD

country_name: North Macedonia

value: Annual


Mali

iso2Code: ML

value: Sub-Saharan Africa

value: Sub-Saharan Africa (excluding high income)

value: Low income

value: IDA

capitalCity: Bamako

country_code: MLI

country_name: Mali

value: CC BY-4.0

value: Weighted average


value: World Development Indicators

Malta

iso2Code: MT

iso2code: ZQ

value: Middle East & North Africa

iso2code: XD

value: High income

iso2code: XX

value: Not classified

capitalCity: Valletta

country_code: MLT

country_name: Malta

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

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


value: Environment

Myanmar

iso2Code: MM

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

iso2code: XN

value: Lower middle income

capitalCity: Naypyidaw

country_code: MMR

country_name: Myanmar

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

value: Environment: Energy production & use


iso2Code: XQ

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

value: Aggregates

country_code: MNA

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.


Montenegro

iso2Code: ME

value: Europe & Central Asia

value: Europe & Central Asia (excluding high income)

iso2code: XT

value: Upper middle income

iso2code: XF

value: IBRD

capitalCity: Podgorica

country_code: MNE

country_name: Montenegro

value: CC BY-4.0


value: World Development Indicators

Mongolia

iso2Code: MN

capitalCity: Ulaanbaatar

country_code: MNG

country_name: Mongolia

value: Weighted average


Northern Mariana Islands

iso2Code: MP

value: High income

value: Not classified

capitalCity: Saipan

country_code: MNP

country_name: Northern Mariana Islands

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

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


value: Environment

Mozambique

iso2Code: MZ

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: Maputo

country_code: MOZ

country_name: Mozambique


Mauritania

iso2Code: MR

value: Lower middle income

capitalCity: Nouakchott

country_code: MRT

country_name: Mauritania

value: Annual

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

value: Environment: Energy production & use

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


Mauritius

iso2Code: MU

value: Upper middle income

value: IBRD

capitalCity: Port Louis

country_code: MUS

country_name: Mauritius

value: CC BY-4.0


value: World Development Indicators

Malawi

iso2Code: MW

capitalCity: Lilongwe

country_code: MWI

country_name: Malawi

value: Weighted average


Malaysia

iso2Code: MY

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

capitalCity: Kuala Lumpur

country_code: MYS

country_name: Malaysia

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


value: Environment

North America

iso2Code: XU

value: Aggregates

country_code: NAC

country_name: North America

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


Namibia

value: Sub-Saharan Africa

value: Sub-Saharan Africa (excluding high income)

capitalCity: Windhoek

country_code: NAM

country_name: Namibia


New Caledonia

iso2Code: NC

iso2code: XD

value: High income

iso2code: XX

value: Not classified

capitalCity: Noum'ea

country_code: NCL

country_name: New Caledonia

value: Annual


Niger

iso2Code: NE

value: Low income

value: IDA

capitalCity: Niamey

country_code: NER

country_name: Niger

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

value: Environment: Energy production & use

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


value: World Development Indicators

Nigeria

iso2Code: NG

iso2code: XN

value: Lower middle income

iso2code: XH

value: Blend

capitalCity: Abuja

country_code: NGA

country_name: Nigeria

value: CC BY-4.0

value: Weighted average


value: Environment

Nicaragua

iso2Code: NI

iso2code: ZJ

value: Latin America & Caribbean

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

capitalCity: Managua

country_code: NIC

country_name: Nicaragua

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


Netherlands

iso2Code: NL

value: Europe & Central Asia

value: High income

capitalCity: Amsterdam

country_code: NLD

country_name: Netherlands

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


Norway

iso2Code: NO

value: Not classified

capitalCity: Oslo

country_code: NOR

country_name: Norway

value: Annual


Nepal

iso2Code: NP

value: South Asia

iso2code: XI

value: IDA

capitalCity: Kathmandu

country_code: NPL

country_name: Nepal

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

Nauru

iso2Code: NR

value: East Asia & Pacific

iso2code: XF

value: IBRD

capitalCity: Yaren District

country_code: NRU

country_name: Nauru

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

New Zealand

iso2Code: NZ

capitalCity: Wellington

country_code: NZL

country_name: New Zealand

value: CC BY-4.0

value: Weighted average


OECD members

iso2Code: OE

value: Aggregates

country_code: OED

country_name: OECD members

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


Oman

iso2Code: OM

iso2code: ZQ

value: Middle East & North Africa

iso2code: XD

value: High income

capitalCity: Muscat

country_code: OMN

country_name: Oman


country_code: OSS

country_name: Other small states

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


Pakistan

iso2Code: PK

value: Lower middle income

value: Blend

capitalCity: Islamabad

country_code: PAK

country_name: Pakistan

value: Annual


Panama

iso2Code: PA

value: Latin America & Caribbean

capitalCity: Panama City

country_code: PAN

country_name: Panama

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

Peru

iso2Code: PE

value: Latin America & Caribbean (excluding high income)

iso2code: XT

value: Upper middle income

capitalCity: Lima

country_code: PER

country_name: Peru


Philippines

iso2Code: PH

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

iso2code: XN

value: IBRD

capitalCity: Manila

country_code: PHL

country_name: Philippines

value: 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

Palau

iso2Code: PW

capitalCity: Koror

country_code: PLW

country_name: Palau

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

value: CC BY-4.0

value: Weighted average


Papua New Guinea

iso2Code: PG

value: Lower middle income

iso2code: XH

capitalCity: Port Moresby

country_code: PNG

country_name: Papua New Guinea

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


Poland

iso2Code: PL

value: Europe & Central Asia

value: High income

capitalCity: Warsaw

country_code: POL

country_name: Poland

value: Annual


value: World Development Indicators

Pre-demographic dividend

value: Aggregates

country_code: PRE

country_name: Pre-demographic dividend

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).


Puerto Rico

iso2Code: PR

iso2code: ZJ

value: Latin America & Caribbean

iso2code: XX

value: Not classified

capitalCity: San Juan

country_code: PRI

country_name: Puerto Rico


Korea, Dem. People's Rep.

iso2Code: KP

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

iso2code: XM

value: Low income

capitalCity: Pyongyang

country_code: PRK

country_name: Korea, Dem. People's Rep.


value: Environment

Portugal

iso2Code: PT

capitalCity: Lisbon

country_code: PRT

country_name: Portugal

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.


Paraguay

iso2Code: PY

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

value: Upper middle income

iso2code: XF

value: IBRD

capitalCity: Asuncion

country_code: PRY

country_name: Paraguay

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

value: CC BY-4.0

value: Weighted average


value: World Development Indicators

West Bank and Gaza

iso2Code: PS

iso2code: ZQ

value: Middle East & North Africa

iso2code: XQ

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

country_code: PSE

country_name: West Bank and Gaza

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

value: Annual


Pacific island small states

value: Aggregates

country_code: PSS

country_name: Pacific island small states

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: PST

country_name: Post-demographic dividend


French Polynesia

iso2Code: PF

value: East Asia & Pacific

iso2code: XD

value: High income

value: Not classified

capitalCity: Papeete

country_code: PYF

country_name: French Polynesia


value: Environment

Qatar

iso2Code: QA

capitalCity: Doha

country_code: QAT

country_name: Qatar

value: 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.


Romania

iso2Code: RO

value: Europe & Central Asia

value: IBRD

capitalCity: Bucharest

country_code: ROU

country_name: Romania


Russian Federation

iso2Code: RU

value: Europe & Central Asia (excluding high income)

iso2code: XT

value: Upper middle income

capitalCity: Moscow

country_code: RUS

country_name: Russian Federation

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

value: CC BY-4.0


value: World Development Indicators

Rwanda

iso2Code: RW

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

value: Low income

iso2code: XI

value: IDA

capitalCity: Kigali

country_code: RWA

country_name: Rwanda

value: Weighted average


South Asia

value: Aggregates

country_code: SAS

country_name: South Asia

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

value: Annual

value: 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

Saudi Arabia

iso2Code: SA

value: Middle East & North Africa

value: High income

iso2code: XX

value: Not classified

capitalCity: Riyadh

country_code: SAU

country_name: Saudi Arabia

value: 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.


Sudan

iso2Code: SD

iso2code: XM

capitalCity: Khartoum

country_code: SDN

country_name: Sudan

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

value: CC BY-4.0


value: World Development Indicators

Senegal

iso2Code: SN

value: Sub-Saharan Africa

iso2code: XN

value: Lower middle income

capitalCity: Dakar

country_code: SEN

country_name: Senegal


Singapore

iso2Code: SG

value: East Asia & Pacific

capitalCity: Singapore

country_code: SGP

country_name: Singapore


Solomon Islands

iso2Code: SB

value: East Asia & Pacific (excluding high income)

value: IDA

capitalCity: Honiara

country_code: SLB

country_name: Solomon Islands

value: Weighted average


Sierra Leone

iso2Code: SL

value: Sub-Saharan Africa (excluding high income)

value: Low income

capitalCity: Freetown

country_code: SLE

country_name: Sierra Leone

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

value: Annual


value: Environment

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: 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

San Marino

iso2Code: SM

value: Europe & Central Asia

iso2code: XD

value: High income

value: Not classified

capitalCity: San Marino

country_code: SMR

country_name: San Marino

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

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.


Somalia

iso2Code: SO

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

value: Low income

value: IDA

capitalCity: Mogadishu

country_code: SOM

country_name: Somalia

value: Weighted average


value: Environment

Serbia

iso2Code: RS

value: Europe & Central Asia (excluding high income)

iso2code: XT

capitalCity: Belgrade

country_code: SRB

country_name: Serbia

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

value: Annual


value: World Development Indicators

name: Sub-Saharan Africa (excluding high income)

value: Aggregates

country_code: SSA

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).


South Sudan

iso2Code: SS

iso2code: XM

iso2code: XI

capitalCity: Juba

country_code: SSD

country_name: South Sudan


country_code: SSF

country_name: Sub-Saharan Africa


country_code: SST

country_name: Small states


Sao Tome and Principe

iso2Code: ST

iso2code: XN

value: Lower middle income

capitalCity: Sao Tome

country_code: STP

country_name: São Tomé and Principe


Suriname

iso2Code: SR

value: Latin America & Caribbean

value: Latin America & Caribbean (excluding high income)

value: Upper middle income

value: IBRD

capitalCity: Paramaribo

country_code: SUR

country_name: Suriname

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


Slovak Republic

iso2Code: SK

value: Europe & Central Asia

value: High income

iso2code: XX

value: Not classified

capitalCity: Bratislava

country_code: SVK

country_name: Slovak Republic

value: 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.


value: Environment

Slovenia

iso2Code: SI

capitalCity: Ljubljana

country_code: SVN

country_name: Slovenia

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

value: Weighted average


value: World Development Indicators

Sweden

iso2Code: SE

capitalCity: Stockholm

country_code: SWE

country_name: Sweden

value: Annual


Eswatini

iso2Code: SZ

value: Sub-Saharan Africa

value: Sub-Saharan Africa (excluding high income)

value: Lower middle income

iso2code: XF

capitalCity: Mbabane

country_code: SWZ

country_name: Eswatini

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).


Sint Maarten (Dutch part)

iso2Code: SX

iso2code: ZJ

value: Latin America & Caribbean

iso2code: XD

capitalCity: Philipsburg

country_code: SXM

country_name: Sint Maarten (Dutch part)


Seychelles

iso2Code: SC

iso2code: ZG

value: IBRD

capitalCity: Victoria

country_code: SYC

country_name: Seychelles

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


Syrian Arab Republic

iso2Code: SY

iso2code: ZQ

value: Middle East & North Africa

iso2code: XQ

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

value: Low income

value: IDA

capitalCity: Damascus

country_code: SYR

country_name: Syrian Arab Republic


Turks and Caicos Islands

iso2Code: TC

value: High income

value: Not classified

capitalCity: Grand Turk

country_code: TCA

country_name: Turks and Caicos Islands

value: 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.


value: World Development Indicators

value: Environment

Chad

iso2Code: TD

iso2code: ZF

iso2code: XM

iso2code: XI

capitalCity: N'Djamena

country_code: TCD

country_name: Chad

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

value: Annual

value: Weighted average


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

value: Aggregates

country_code: TEA

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).


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

country_code: TEC

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


Togo

iso2Code: TG

value: Sub-Saharan Africa

value: Sub-Saharan Africa (excluding high income)

capitalCity: Lome

country_code: TGO

country_name: Togo


Thailand

iso2Code: TH

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

iso2code: XT

value: Upper middle income

value: IBRD

capitalCity: Bangkok

country_code: THA

country_name: Thailand


Tajikistan

iso2Code: TJ

value: Europe & Central Asia

value: Europe & Central Asia (excluding high income)

iso2code: XN

value: Lower middle income

value: IDA

capitalCity: Dushanbe

country_code: TJK

country_name: Tajikistan

value: CC BY-4.0


value: World Development Indicators

value: Environment

Turkmenistan

iso2Code: TM

iso2code: XF

capitalCity: Ashgabat

country_code: TKM

country_name: Turkmenistan

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

value: Environment: 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.


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

value: Aggregates

country_code: TLA

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

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).


Timor-Leste

iso2Code: TL

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

iso2code: XH

value: Blend

capitalCity: Dili

country_code: TLS

country_name: Timor-Leste


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

country_code: TMN


Tonga

iso2Code: TO

value: Upper middle income

capitalCity: Nuku'alofa

country_code: TON

country_name: Tonga


country_code: TSA

country_name: South Asia (IDA & IBRD)


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

country_code: TSS


Trinidad and Tobago

iso2Code: TT

iso2code: ZJ

value: Latin America & Caribbean

iso2code: XD

value: High income

value: IBRD

capitalCity: Port-of-Spain

country_code: TTO

country_name: Trinidad and Tobago


value: World Development Indicators

Tunisia

iso2Code: TN

iso2code: ZQ

value: Middle East & North Africa

iso2code: XQ

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

value: Lower middle income

capitalCity: Tunis

country_code: TUN

country_name: Tunisia

value: CC BY-4.0


value: Environment

Turkiye

iso2Code: TR

value: Europe & Central Asia

value: Europe & Central Asia (excluding high income)

capitalCity: Ankara

country_code: TUR

country_name: Turkey

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

value: Environment: 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.


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

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: World Development Indicators

Tanzania

iso2Code: TZ

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

capitalCity: Dodoma

country_code: TZA

country_name: Tanzania


Uganda

iso2Code: UG

iso2code: XM

value: Low income

capitalCity: Kampala

country_code: UGA

country_name: Uganda

value: CC BY-4.0


value: Environment

Ukraine

iso2Code: UA

value: Europe & Central Asia

iso2code: XN

value: Lower middle income

iso2code: XF

value: IBRD

capitalCity: Kiev

country_code: UKR

country_name: Ukraine


Upper middle income

iso2Code: XT

value: Aggregates

country_code: UMC

country_name: Upper middle income

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

value: Environment: 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.


Uruguay

iso2Code: UY

iso2code: ZJ

value: Latin America & Caribbean

value: High income

capitalCity: Montevideo

country_code: URY

country_name: Uruguay

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


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: 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: World Development Indicators

Uzbekistan

iso2Code: UZ

value: Europe & Central Asia (excluding high income)

iso2code: XH

value: Blend

capitalCity: Tashkent

country_code: UZB

country_name: Uzbekistan

value: CC BY-4.0


value: Environment

St. Vincent and the Grenadines

iso2Code: VC

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

value: Upper middle income

capitalCity: Kingstown

country_code: VCT

country_name: St. Vincent and the Grenadines


Venezuela, RB

iso2Code: VE

iso2code: XY

value: IBRD

capitalCity: Caracas

country_code: VEN

country_name: Venezuela, RB

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

value: Environment: Energy production & use


British Virgin Islands

iso2Code: VG

value: Latin America & Caribbean

value: High income

capitalCity: Road Town

country_code: VGB

country_name: British Virgin Islands

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.


Virgin Islands (U.S.)

iso2Code: VI

value: Not classified

capitalCity: Charlotte Amalie

country_code: VIR

country_name: Virgin Islands (U.S.)

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


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: Annual

value: Weighted average


value: World Development Indicators

Vanuatu

iso2Code: VU

iso2code: XI

value: IDA

capitalCity: Port-Vila

country_code: VUT

country_name: Vanuatu

value: CC BY-4.0

value: 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

World

value: Aggregates

country_code: WLD

country_name: World


Samoa

iso2Code: WS

capitalCity: Apia

country_code: WSM

country_name: Samoa

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

value: Environment: Energy production & use


Kosovo

iso2Code: XK

value: Europe & Central Asia

value: Europe & Central Asia (excluding high income)

iso2code: XT

value: Upper middle income

capitalCity: Pristina

country_code: XKX

country_name: Kosovo


Yemen, Rep.

iso2Code: YE

iso2code: ZQ

value: Middle East & North Africa

iso2code: XQ

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

iso2code: XM

value: Low income

capitalCity: Sana'a

country_code: YEM

country_name: Yemen, Rep.

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


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: Weighted average


value: World Development Indicators

value: Environment

Zambia

iso2Code: ZM

value: Lower middle income

value: IDA

capitalCity: Lusaka

country_code: ZMB

country_name: Zambia

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).


Zimbabwe

iso2Code: ZW

iso2code: XH

value: Blend

capitalCity: Harare

country_code: ZWE

country_name: Zimbabwe

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

value: Environment: Energy production & use


name: Energy intensity level of primary energy (MJ/$2017 PPP GDP)

sourceNone: Energy intensity level of primary energy is the ratio between energy supply and gross domestic product measured at purchasing power parity. Energy intensity is an indication of how much energy is used to produce one unit of economic output. Lower ratio indicates that less energy is used to produce one unit of output.

value: Energy & Mining

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: Energy intensity level is only an imperfect proxy to energy efficiency indicator and it can be affected by a number of factors not necessarily linked to pure efficiency such as climate.

value: This indicator is obtained by dividing total primary energy supply over gross domestic product measured in constant 2017 US dollars at purchasing power parity.


Africa Eastern and Southern

iso2Code: ZH

value: Aggregates

country_code: AFE

country_name: Africa Eastern and Southern

value: Energy intensity level of primary energy (MJ/$2017 PPP GDP)

value: Annual

value: Energy intensity level of primary energy is the ratio between energy supply and gross domestic product measured at purchasing power parity. Energy intensity is an indication of how much energy is used to produce one unit of economic output. Lower ratio indicates that less energy is used to produce one unit of output.


value: World Development Indicators

value: Environment

Afghanistan

iso2Code: AF

value: South Asia

value: Low income

iso2code: XI

capitalCity: Kabul

country_code: AFG

country_name: Afghanistan

value: Weighted average


Africa Western and Central

iso2Code: ZI

country_code: AFW

country_name: Africa Western and Central

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: Energy & Mining

Angola

iso2Code: AO

value: Sub-Saharan Africa

value: Sub-Saharan Africa (excluding high income)

iso2code: XN

value: Lower middle income

value: IBRD

capitalCity: Luanda

country_code: AGO

country_name: Angola

value: Environment: Energy production & use


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: Energy intensity level is only an imperfect proxy to energy efficiency indicator and it can be affected by a number of factors not necessarily linked to pure efficiency such as climate.

value: This indicator is obtained by dividing total primary energy supply over gross domestic product measured in constant 2017 US dollars at purchasing power parity.


value: World Development Indicators

value: Environment

Andorra

iso2Code: AD

value: High income

value: Not classified

capitalCity: Andorra la Vella

country_code: AND

country_name: Andorra

value: Energy intensity level of primary energy (MJ/$2017 PPP GDP)

value: Annual

value: Energy intensity level of primary energy is the ratio between energy supply and gross domestic product measured at purchasing power parity. Energy intensity is an indication of how much energy is used to produce one unit of economic output. Lower ratio indicates that less energy is used to produce one unit of output.


value: Energy & Mining

Arab World

value: Aggregates

country_code: ARB

country_name: Arab World

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).


United Arab Emirates

iso2Code: AE

iso2code: ZQ

value: Middle East & North Africa

capitalCity: Abu Dhabi

country_code: ARE

country_name: United Arab Emirates

value: Environment: Energy production & use


Argentina

iso2Code: AR

value: Latin America & Caribbean

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

value: Upper middle income

iso2code: XF

value: IBRD

capitalCity: Buenos Aires

country_code: ARG

country_name: Argentina


value: World Development Indicators

value: Environment

Armenia

iso2Code: AM

value: Europe & Central Asia

value: Europe & Central Asia (excluding high income)

capitalCity: Yerevan

country_code: ARM

country_name: Armenia

value: Energy intensity level is only an imperfect proxy to energy efficiency indicator and it can be affected by a number of factors not necessarily linked to pure efficiency such as climate.

value: This indicator is obtained by dividing total primary energy supply over gross domestic product measured in constant 2017 US dollars at purchasing power parity.


value: Energy & Mining

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: Energy intensity level of primary energy (MJ/$2017 PPP GDP)

value: Annual

value: Energy intensity level of primary energy is the ratio between energy supply and gross domestic product measured at purchasing power parity. Energy intensity is an indication of how much energy is used to produce one unit of economic output. Lower ratio indicates that less energy is used to produce one unit of output.


Antigua and Barbuda

iso2Code: AG

iso2code: ZJ

value: Latin America & Caribbean

capitalCity: Saint John's

country_code: ATG

country_name: Antigua and Barbuda

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).

value: Environment: Energy production & use


value: World Development Indicators

value: Environment

Australia

iso2Code: AU

iso2code: XX

capitalCity: Canberra

country_code: AUS

country_name: Australia


Austria

iso2Code: AT

value: Europe & Central Asia

capitalCity: Vienna

country_code: AUT

country_name: Austria


Azerbaijan

iso2Code: AZ

value: Europe & Central Asia (excluding high income)

value: Upper middle income

value: IBRD

capitalCity: Baku

country_code: AZE

country_name: Azerbaijan

value: Energy intensity level is only an imperfect proxy to energy efficiency indicator and it can be affected by a number of factors not necessarily linked to pure efficiency such as climate.


value: Energy & Mining

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: This indicator is obtained by dividing total primary energy supply over gross domestic product measured in constant 2017 US dollars at purchasing power parity.


Belgium

iso2Code: BE

value: High income

value: Not classified

capitalCity: Brussels

country_code: BEL

country_name: Belgium

value: Weighted average

value: Energy intensity level of primary energy (MJ/$2017 PPP GDP)

value: Annual

value: Energy intensity level of primary energy is the ratio between energy supply and gross domestic product measured at purchasing power parity. Energy intensity is an indication of how much energy is used to produce one unit of economic output. Lower ratio indicates that less energy is used to produce one unit of output.


value: World Development Indicators

value: Environment

Benin

iso2Code: BJ

iso2code: XN

value: Lower middle income

capitalCity: Porto-Novo

country_code: BEN

country_name: Benin

value: CC BY-4.0

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

value: Environment: Energy production & use


value: Energy & Mining

Burkina Faso

iso2Code: BF

value: Sub-Saharan Africa

capitalCity: Ouagadougou

country_code: BFA

country_name: Burkina Faso

value: Energy intensity level is only an imperfect proxy to energy efficiency indicator and it can be affected by a number of factors not necessarily linked to pure efficiency such as climate.


Bangladesh

iso2Code: BD

value: South Asia

value: IDA

capitalCity: Dhaka

country_code: BGD

country_name: Bangladesh


Bulgaria

iso2Code: BG

value: Europe & Central Asia

value: Europe & Central Asia (excluding high income)

iso2code: XT

value: Upper middle income

iso2code: XF

value: IBRD

capitalCity: Sofia

country_code: BGR

country_name: Bulgaria

value: This indicator is obtained by dividing total primary energy supply over gross domestic product measured in constant 2017 US dollars at purchasing power parity.


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: Weighted average

value: Energy intensity level of primary energy (MJ/$2017 PPP GDP)

value: Annual

value: Energy intensity level of primary energy is the ratio between energy supply and gross domestic product measured at purchasing power parity. Energy intensity is an indication of how much energy is used to produce one unit of economic output. Lower ratio indicates that less energy is used to produce one unit of output.


value: World Development Indicators

value: Energy & Mining

value: Environment

Bahamas, The

iso2Code: BS

iso2code: ZJ

value: Latin America & Caribbean

iso2code: XX

capitalCity: Nassau

country_code: BHS

country_name: Bahamas, The

value: CC BY-4.0

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

value: Environment: Energy production & use


Bosnia and Herzegovina

iso2Code: BA

value: Europe & Central Asia

value: Europe & Central Asia (excluding high income)

value: Upper middle income

capitalCity: Sarajevo

country_code: BIH

country_name: Bosnia and Herzegovina

value: Energy intensity level is only an imperfect proxy to energy efficiency indicator and it can be affected by a number of factors not necessarily linked to pure efficiency such as climate.


Belarus

iso2Code: BY

value: IBRD

capitalCity: Minsk

country_code: BLR

country_name: Belarus

value: This indicator is obtained by dividing total primary energy supply over gross domestic product measured in constant 2017 US dollars at purchasing power parity.


Belize

iso2Code: BZ

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

capitalCity: Belmopan

country_code: BLZ

country_name: Belize

value: Weighted average


Bermuda

iso2Code: BM

iso2code: XU

value: North America

value: High income

value: Not classified

capitalCity: Hamilton

country_code: BMU

country_name: Bermuda

value: Energy intensity level of primary energy (MJ/$2017 PPP GDP)

value: Annual


value: World Development Indicators

value: Energy & Mining

value: Environment

Bolivia

iso2Code: BO

value: Latin America & Caribbean

iso2code: XN

value: Lower middle income

capitalCity: La Paz

country_code: BOL

country_name: Bolivia

value: Energy intensity level of primary energy is the ratio between energy supply and gross domestic product measured at purchasing power parity. Energy intensity is an indication of how much energy is used to produce one unit of economic output. Lower ratio indicates that less energy is used to produce one unit of output.


Brazil

iso2Code: BR

value: Upper middle income

capitalCity: Brasilia

country_code: BRA

country_name: Brazil

value: CC BY-4.0

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

value: Environment: Energy production & use


Barbados

iso2Code: BB

capitalCity: Bridgetown

country_code: BRB

country_name: Barbados

value: Energy intensity level is only an imperfect proxy to energy efficiency indicator and it can be affected by a number of factors not necessarily linked to pure efficiency such as climate.

value: This indicator is obtained by dividing total primary energy supply over gross domestic product measured in constant 2017 US dollars at purchasing power parity.


Brunei Darussalam

iso2Code: BN

value: East Asia & Pacific

capitalCity: Bandar Seri Begawan

country_code: BRN

country_name: Brunei Darussalam

value: Weighted average


Bhutan

iso2Code: BT

value: South Asia

iso2code: XI

value: IDA

capitalCity: Thimphu

country_code: BTN

country_name: Bhutan


Botswana

iso2Code: BW

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

iso2code: XT

iso2code: XF

value: IBRD

capitalCity: Gaborone

country_code: BWA

country_name: Botswana

value: Energy intensity level of primary energy (MJ/$2017 PPP GDP)

value: Annual