value: Agriculture & Rural Development

Kazakhstan

iso2Code: KZ

value: Europe & Central Asia

value: Europe & Central Asia (excluding high income)

iso2code: XT

value: Upper middle income

iso2code: XF

capitalCity: Astana

country_code: KAZ

country_name: Kazakhstan

value: CC BY-4.0

value: Access to non-solid fuel, rural is the percentage of rural population with access to non-solid fuel.


name: Access to non-solid fuel, rural (% of rural population)

value: WDI Database Archives

sourceNone: Access to non-solid fuel, rural is the percentage of rural population with access to non-solid fuel.

value: Energy & Mining

Kenya

iso2Code: KE

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

iso2code: XN

value: Lower middle income

iso2code: XH

value: Blend

capitalCity: Nairobi

country_code: KEN

country_name: Kenya

value: Annual

value: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.

value: Weighted average

value: Environment: Energy production & use

value: Data for access to Non-Solid Fuel 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). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.

schema: wb


value: Agriculture & Rural Development

Kyrgyz Republic

iso2Code: KG

iso2code: XI

value: IDA

capitalCity: Bishkek

country_code: KGZ

country_name: Kyrgyz Republic

value: Access to non-solid fuel, rural (% of rural population)


Cambodia

iso2Code: KH

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

capitalCity: Phnom Penh

country_code: KHM

country_name: Cambodia


Kiribati

iso2Code: KI

capitalCity: Tarawa

country_code: KIR

country_name: Kiribati

value: CC BY-4.0

value: Access to non-solid fuel, rural is the percentage of rural population with access to non-solid fuel.


value: WDI Database Archives

value: Energy & Mining

St. Kitts and Nevis

iso2Code: KN

iso2code: ZJ

value: Latin America & Caribbean

iso2code: XD

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


country_code: KSV

country_name: Kosovo

value: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.

value: Weighted average


Kuwait

iso2Code: KW

iso2code: ZQ

value: Middle East & North Africa

capitalCity: Kuwait City

country_code: KWT

country_name: Kuwait

value: Environment: Energy production & use

value: Data for access to Non-Solid Fuel 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). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


value: Agriculture & Rural Development

iso2Code: XJ

name: Latin America & Caribbean (excluding high income)

value: Aggregates

country_code: LAC

value: Access to non-solid fuel, rural (% of rural population)


Lao PDR

iso2Code: LA

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

value: Lower middle income

value: IDA

capitalCity: Vientiane

country_code: LAO

country_name: Lao PDR

value: CC BY-4.0


value: WDI Database Archives

value: Energy & Mining

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 non-solid fuel, rural is the percentage of rural population with access to non-solid fuel.


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: Annual

value: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.


value: Agriculture & Rural Development

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: Weighted average

value: Environment: Energy production & use

value: Data for access to Non-Solid Fuel 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). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


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: Access to non-solid fuel, rural (% of rural population)

value: CC BY-4.0


value: WDI Database Archives

value: Energy & Mining

Latin America & Caribbean

value: Aggregates

country_code: LCN

country_name: Latin America & Caribbean

value: Access to non-solid fuel, rural is the percentage of rural population with access to non-solid fuel.


iso2Code: XL

name: Least developed countries: UN classification

country_code: LDC

value: Annual

value: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.


value: Agriculture & Rural Development

country_code: LIC

country_name: Low income


Liechtenstein

iso2Code: LI

value: Europe & Central Asia

iso2code: XD

value: High income

iso2code: XX

value: Not classified

capitalCity: Vaduz

country_code: LIE

country_name: Liechtenstein


country_code: LIO

country_name: Other low-income

value: Weighted average

value: Environment: Energy production & use


country_code: LIX

country_name: Low income, excluding China and India

value: Data for access to Non-Solid Fuel 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). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


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


country_code: LMC

country_name: Lower middle income

value: Access to non-solid fuel, rural (% of rural population)

value: CC BY-4.0


value: WDI Database Archives

value: Energy & Mining

Low & middle income

iso2Code: XO

country_code: LMY

country_name: Low & middle income


country_code: LSA

country_name: Low-income Africa

value: Access to non-solid fuel, rural is the percentage of rural population with access to non-solid fuel.


Lesotho

iso2Code: LS

value: Sub-Saharan Africa

value: Sub-Saharan Africa (excluding high income)

capitalCity: Maseru

country_code: LSO

country_name: Lesotho

value: Annual


value: Agriculture & Rural Development

Late-demographic dividend

value: Aggregates

country_code: LTE

country_name: Late-demographic dividend

value: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.


Lithuania

iso2Code: LT

value: Europe & Central Asia

value: High income

value: Not classified

capitalCity: Vilnius

country_code: LTU

country_name: Lithuania

value: Weighted average


Luxembourg

iso2Code: LU

capitalCity: Luxembourg

country_code: LUX

country_name: Luxembourg

value: Environment: Energy production & use

value: Data for access to Non-Solid Fuel 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). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


Latvia

iso2Code: LV

capitalCity: Riga

country_code: LVA

country_name: Latvia

value: Access to non-solid fuel, rural (% of rural population)


Macao SAR, China

iso2Code: MO

value: East Asia & Pacific

country_code: MAC

country_name: Macao SAR, China

value: CC BY-4.0


value: WDI Database Archives

value: Energy & Mining

St. Martin (French part)

iso2Code: MF

value: Latin America & Caribbean

capitalCity: Marigot

country_code: MAF

country_name: St. Martin (French part)


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: Access to non-solid fuel, rural is the percentage of rural population with access to non-solid fuel.


value: Agriculture & Rural Development

Monaco

iso2Code: MC

value: Europe & Central Asia

capitalCity: Monaco

country_code: MCO

country_name: Monaco

value: Annual

value: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.


Moldova

iso2Code: MD

value: Europe & Central Asia (excluding high income)

iso2code: XT

value: Upper middle income

capitalCity: Chisinau

country_code: MDA

country_name: Moldova

value: Weighted average

value: Environment: Energy production & use


Middle East (developing only)

value: Aggregates

country_code: MDE

country_name: Middle East (developing only)

value: Access to non-solid fuel, rural (% of rural population)

value: CC BY-4.0

value: Data for access to Non-Solid Fuel 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). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


value: WDI Database Archives

value: Energy & Mining

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: Agriculture & Rural Development

Maldives

iso2Code: MV

value: South Asia

iso2code: XI

capitalCity: Male

country_code: MDV

country_name: Maldives

value: Access to non-solid fuel, rural is the percentage of rural population with access to non-solid fuel.


country_code: MEA

country_name: Middle East & North Africa

value: Annual

value: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.


Mexico

iso2Code: MX

iso2code: ZJ

value: Latin America & Caribbean

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

value: Upper middle income

value: IBRD

capitalCity: Mexico City

country_code: MEX

country_name: Mexico

value: Weighted average


Marshall Islands

iso2Code: MH

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

capitalCity: Majuro

country_code: MHL

country_name: Marshall Islands

value: Access to non-solid fuel, rural (% of rural population)

value: CC BY-4.0

value: Environment: Energy production & use

value: Data for access to Non-Solid Fuel 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). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


value: WDI Database Archives

value: Energy & Mining

Middle income

iso2Code: XP

value: Aggregates

country_code: MIC

country_name: Middle income


value: Agriculture & Rural Development

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: Access to non-solid fuel, rural is the percentage of rural population with access to non-solid fuel.


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: Annual

value: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.


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 non-solid fuel, rural (% of rural population)

value: Weighted average


value: WDI Database Archives

value: Energy & Mining

Myanmar

iso2Code: MM

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

iso2code: XN

value: Lower middle income

capitalCity: Naypyidaw

country_code: MMR

country_name: Myanmar

value: CC BY-4.0

value: Environment: Energy production & use

value: Data for access to Non-Solid Fuel 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). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


value: Agriculture & Rural Development

iso2Code: XQ

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

value: Aggregates

country_code: MNA

value: Access to non-solid fuel, rural is the percentage of rural population with access to non-solid fuel.


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: Annual

value: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.


value: WDI Database Archives

Mongolia

iso2Code: MN

capitalCity: Ulaanbaatar

country_code: MNG

country_name: Mongolia

value: Access to non-solid fuel, rural (% of rural population)

value: Weighted average


value: Energy & Mining

Northern Mariana Islands

iso2Code: MP

value: East Asia & Pacific

value: High income

value: Not classified

capitalCity: Saipan

country_code: MNP

country_name: Northern Mariana Islands


Mozambique

iso2Code: MZ

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

value: CC BY-4.0

value: Environment: Energy production & use

value: Data for access to Non-Solid Fuel 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). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


value: Agriculture & Rural Development

Mauritania

iso2Code: MR

value: Lower middle income

capitalCity: Nouakchott

country_code: MRT

country_name: Mauritania

value: Access to non-solid fuel, rural is the percentage of rural population with access to non-solid fuel.


value: WDI Database Archives

country_code: MTQ

country_name: Martinique

value: Annual

value: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.


value: Energy & Mining

Mauritius

iso2Code: MU

value: Upper middle income

value: IBRD

capitalCity: Port Louis

country_code: MUS

country_name: Mauritius

value: Access to non-solid fuel, rural (% of rural population)

value: Weighted average


Malawi

iso2Code: MW

value: Sub-Saharan Africa

value: Sub-Saharan Africa (excluding high income)

capitalCity: Lilongwe

country_code: MWI

country_name: Malawi


Malaysia

iso2Code: MY

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

capitalCity: Kuala Lumpur

country_code: MYS

country_name: Malaysia


country_code: MYT

country_name: Mayotte

value: CC BY-4.0

value: Environment: Energy production & use


value: Agriculture & Rural Development

North America

iso2Code: XU

value: Aggregates

country_code: NAC

country_name: North America

value: Data for access to Non-Solid Fuel 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). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


value: WDI Database Archives

Namibia

capitalCity: Windhoek

country_code: NAM

country_name: Namibia

value: Access to non-solid fuel, rural is the percentage of rural population with access to non-solid fuel.


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

value: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.


value: Energy & Mining

Niger

iso2Code: NE

value: Low income

value: IDA

capitalCity: Niamey

country_code: NER

country_name: Niger

value: Access to non-solid fuel, rural (% of rural population)


Nigeria

iso2Code: NG

value: Sub-Saharan Africa

value: Sub-Saharan Africa (excluding high income)

iso2code: XN

value: Lower middle income

iso2code: XH

value: Blend

capitalCity: Abuja

country_code: NGA

country_name: Nigeria

value: Weighted average


value: Agriculture & Rural Development

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: CC BY-4.0

value: Environment: Energy production & use


value: WDI Database Archives

Netherlands

iso2Code: NL

value: Europe & Central Asia

value: High income

value: Not classified

capitalCity: Amsterdam

country_code: NLD

country_name: Netherlands

value: Access to non-solid fuel, rural is the percentage of rural population with access to non-solid fuel.

value: Data for access to Non-Solid Fuel 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). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


value: Energy & Mining

country_code: NOC

country_name: High income: nonOECD

value: Access to non-solid fuel, rural (% of rural population)

value: Annual

value: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.


Norway

iso2Code: NO

capitalCity: Oslo

country_code: NOR

country_name: Norway


Nepal

iso2Code: NP

value: South Asia

value: Lower middle income

iso2code: XI

value: IDA

capitalCity: Kathmandu

country_code: NPL

country_name: Nepal


value: Agriculture & Rural Development

Nauru

iso2Code: NR

value: East Asia & Pacific

iso2code: XF

value: IBRD

capitalCity: Yaren District

country_code: NRU

country_name: Nauru

value: Weighted average


value: WDI Database Archives

New Zealand

iso2Code: NZ

capitalCity: Wellington

country_code: NZL

country_name: New Zealand

value: CC BY-4.0

value: Environment: Energy production & use


country_code: OEC

country_name: High income: OECD


OECD members

iso2Code: OE

value: Aggregates

country_code: OED

country_name: OECD members


Oman

iso2Code: OM

iso2code: ZQ

value: Middle East & North Africa

iso2code: XD

value: High income

value: Not classified

capitalCity: Muscat

country_code: OMN

country_name: Oman

value: Access to non-solid fuel, rural is the percentage of rural population with access to non-solid fuel.


value: Energy & Mining

country_code: OSS

country_name: Other small states

value: Access to non-solid fuel, rural (% of rural population)

value: Annual

value: Data for access to Non-Solid Fuel 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). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


Pakistan

iso2Code: PK

value: South Asia

value: Lower middle income

value: Blend

capitalCity: Islamabad

country_code: PAK

country_name: Pakistan

value: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.


value: Agriculture & Rural Development

Panama

iso2Code: PA

value: Latin America & Caribbean

value: IBRD

capitalCity: Panama City

country_code: PAN

country_name: Panama

value: Weighted average


value: WDI Database Archives

Peru

iso2Code: PE

value: Latin America & Caribbean (excluding high income)

iso2code: XT

value: Upper middle income

capitalCity: Lima

country_code: PER

country_name: Peru

value: CC BY-4.0

value: Environment: Energy production & use


value: Energy & Mining

Philippines

iso2Code: PH

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

iso2code: XN

capitalCity: Manila

country_code: PHL

country_name: Philippines

value: Access to non-solid fuel, rural is the percentage of rural population with access to non-solid fuel.


Palau

iso2Code: PW

capitalCity: Koror

country_code: PLW

country_name: Palau

value: Access to non-solid fuel, rural (% of rural population)

value: Annual

value: Data for access to Non-Solid Fuel 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). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


Papua New Guinea

iso2Code: PG

value: Lower middle income

iso2code: XH

value: Blend

capitalCity: Port Moresby

country_code: PNG

country_name: Papua New Guinea

value: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.


value: Agriculture & Rural Development

Poland

iso2Code: PL

value: Europe & Central Asia

value: High income

value: IBRD

capitalCity: Warsaw

country_code: POL

country_name: Poland


value: WDI Database Archives

Pre-demographic dividend

value: Aggregates

country_code: PRE

country_name: Pre-demographic dividend

value: Weighted average


value: Energy & Mining

Puerto Rico

iso2Code: PR

iso2code: ZJ

value: Latin America & Caribbean

iso2code: XX

value: Not classified

capitalCity: San Juan

country_code: PRI

country_name: Puerto Rico

value: CC BY-4.0

value: Environment: Energy production & use


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: Access to non-solid fuel, rural (% of rural population)

value: Access to non-solid fuel, rural is the percentage of rural population with access to non-solid fuel.

value: Annual


value: Agriculture & Rural Development

Portugal

iso2Code: PT

value: Europe & Central Asia

capitalCity: Lisbon

country_code: PRT

country_name: Portugal

value: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.

value: Data for access to Non-Solid Fuel 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). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


value: WDI Database Archives

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: Energy & Mining

West Bank and Gaza

iso2Code: PS

iso2code: ZQ

value: Middle East & North Africa

iso2code: XQ

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

value: Not classified

country_code: PSE

country_name: West Bank and Gaza

value: Weighted average


Pacific island small states

value: Aggregates

country_code: PSS

country_name: Pacific island small states

value: CC BY-4.0

value: Environment: Energy production & use


country_code: PST

country_name: Post-demographic dividend

value: Access to non-solid fuel, rural (% of rural population)

value: Access to non-solid fuel, rural is the percentage of rural population with access to non-solid fuel.

value: Annual


value: Agriculture & Rural Development

French Polynesia

iso2Code: PF

value: East Asia & Pacific

iso2code: XD

value: High income

capitalCity: Papeete

country_code: PYF

country_name: French Polynesia

value: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.


value: WDI Database Archives

Qatar

iso2Code: QA

capitalCity: Doha

country_code: QAT

country_name: Qatar

value: Data for access to Non-Solid Fuel 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). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


value: Energy & Mining

country_code: REU

country_name: Reunion


country_code: ROM

country_name: Romania


Romania

iso2Code: RO

value: Europe & Central Asia

value: IBRD

capitalCity: Bucharest

country_code: ROU


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


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 non-solid fuel, rural (% of rural population)

value: CC BY-4.0

value: Access to non-solid fuel, rural is the percentage of rural population with access to non-solid fuel.

value: Annual

value: Environment: Energy production & use


value: WDI Database Archives

value: Agriculture & Rural Development

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: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.

value: Data for access to Non-Solid Fuel 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). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


value: Energy & Mining

Sudan

iso2Code: SD

value: Sub-Saharan Africa

value: Sub-Saharan Africa (excluding high income)

iso2code: XM

capitalCity: Khartoum

country_code: SDN

country_name: Sudan


Senegal

iso2Code: SN

iso2code: XN

value: Lower middle income

value: IDA

capitalCity: Dakar

country_code: SEN

country_name: Senegal

value: Weighted average


Singapore

iso2Code: SG

value: East Asia & Pacific

capitalCity: Singapore

country_code: SGP

country_name: Singapore

value: Access to non-solid fuel, rural (% of rural population)

value: CC BY-4.0


Solomon Islands

iso2Code: SB

value: East Asia & Pacific (excluding high income)

capitalCity: Honiara

country_code: SLB

country_name: Solomon Islands

value: Access to non-solid fuel, rural is the percentage of rural population with access to non-solid fuel.

value: Annual

value: Environment: Energy production & use


value: WDI Database Archives

value: Agriculture & Rural Development

Sierra Leone

iso2Code: SL

value: Low income

capitalCity: Freetown

country_code: SLE

country_name: Sierra Leone


El Salvador

iso2Code: SV

iso2code: ZJ

value: Latin America & Caribbean

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

value: Upper middle income

iso2code: XF

value: IBRD

capitalCity: San Salvador

country_code: SLV

country_name: El Salvador

value: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.

value: Data for access to Non-Solid Fuel 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). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


value: Energy & Mining

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: Weighted average


Somalia

iso2Code: SO

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

value: IDA

capitalCity: Mogadishu

country_code: SOM

country_name: Somalia

value: Access to non-solid fuel, rural (% of rural population)

value: CC BY-4.0

value: Access to non-solid fuel, rural is the percentage of rural population with access to non-solid fuel.


value: WDI Database Archives

value: Agriculture & Rural Development

Serbia

iso2Code: RS

value: Europe & Central Asia (excluding high income)

iso2code: XT

capitalCity: Belgrade

country_code: SRB

country_name: Serbia

value: Annual

value: Environment: Energy production & use


name: Sub-Saharan Africa (excluding high income)

value: Aggregates

country_code: SSA

value: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.

value: Data for access to Non-Solid Fuel 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). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


value: Energy & Mining

South Sudan

iso2Code: SS

iso2code: XM

value: Low income

iso2code: XI

capitalCity: Juba

country_code: SSD

country_name: South Sudan


country_code: SSF

country_name: Sub-Saharan Africa

value: Weighted average


country_code: SST

country_name: Small states


Sao Tome and Principe

iso2Code: ST

value: Sub-Saharan Africa

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: WDI Database Archives

Slovak Republic

iso2Code: SK

value: Europe & Central Asia

value: High income

iso2code: XX

value: Not classified

capitalCity: Bratislava

country_code: SVK

country_name: Slovak Republic

value: Access to non-solid fuel, rural (% of rural population)

value: CC BY-4.0

value: Access to non-solid fuel, rural is the percentage of rural population with access to non-solid fuel.


value: Agriculture & Rural Development

Slovenia

iso2Code: SI

capitalCity: Ljubljana

country_code: SVN

country_name: Slovenia

value: Annual

value: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.

value: Environment: Energy production & use

value: Data for access to Non-Solid Fuel 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). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


value: Energy & Mining

Sweden

iso2Code: SE

capitalCity: Stockholm

country_code: SWE

country_name: Sweden

value: Weighted average


Eswatini

iso2Code: SZ

value: Sub-Saharan Africa

value: Sub-Saharan Africa (excluding high income)

value: Lower middle income

iso2code: XF

capitalCity: Mbabane

country_code: SWZ

country_name: Eswatini


value: WDI Database Archives

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)


country_code: SXN

country_name: SUB-SAHARAN AFRICA (excl. Nigeria)


Seychelles

iso2Code: SC

iso2code: ZG

value: High income

value: IBRD

capitalCity: Victoria

country_code: SYC

country_name: Seychelles


Syrian Arab Republic

iso2Code: SY

iso2code: ZQ

value: Middle East & North Africa

iso2code: XQ

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

value: Low income

value: IDA

capitalCity: Damascus

country_code: SYR

country_name: Syrian Arab Republic

value: Access to non-solid fuel, rural (% of rural population)


value: Agriculture & Rural Development

Turks and Caicos Islands

iso2Code: TC

value: Not classified

capitalCity: Grand Turk

country_code: TCA

country_name: Turks and Caicos Islands

value: CC BY-4.0

value: Access to non-solid fuel, rural is the percentage of rural population with access to non-solid fuel.

value: Annual

value: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.


value: Energy & Mining

Chad

iso2Code: TD

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

iso2code: XM

iso2code: XI

capitalCity: N'Djamena

country_code: TCD

country_name: Chad

value: Weighted average

value: Environment: Energy production & use

value: Data for access to Non-Solid Fuel 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). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


value: WDI Database Archives

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

value: Aggregates

country_code: TEA


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

country_code: TEC


Togo

iso2Code: TG

value: Low 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


value: Agriculture & Rural Development

Tajikistan

iso2Code: TJ

value: Europe & Central Asia

value: Europe & Central Asia (excluding high income)

iso2code: XN

value: Lower middle income

value: IDA

capitalCity: Dushanbe

country_code: TJK

country_name: Tajikistan

value: Access to non-solid fuel, rural (% of rural population)

value: CC BY-4.0


value: Energy & Mining

Turkmenistan

iso2Code: TM

iso2code: XF

capitalCity: Ashgabat

country_code: TKM

country_name: Turkmenistan

value: Access to non-solid fuel, rural is the percentage of rural population with access to non-solid fuel.

value: Annual

value: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.

value: Weighted average


value: WDI Database Archives

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

value: Aggregates

country_code: TLA

value: Environment: Energy production & use

value: Data for access to Non-Solid Fuel 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). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


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


value: Agriculture & Rural Development

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

country_code: TMN


country_code: TMP


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: Energy & Mining

Tunisia

iso2Code: TN

iso2code: ZQ

value: Middle East & North Africa

iso2code: XQ

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

value: Lower middle income

capitalCity: Tunis

country_code: TUN

country_name: Tunisia

value: Access to non-solid fuel, rural (% of rural population)

value: CC BY-4.0


value: WDI Database Archives

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 non-solid fuel, rural is the percentage of rural population with access to non-solid fuel.

value: Annual

value: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.

value: Weighted average


value: Agriculture & Rural Development

Tuvalu

iso2Code: TV

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

value: Upper middle income

iso2code: XI

value: IDA

capitalCity: Funafuti

country_code: TUV

country_name: Tuvalu

value: Environment: Energy production & use

value: Data for access to Non-Solid Fuel 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). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


value: Energy & Mining

country_code: TWN

country_name: Taiwan, China


Tanzania

iso2Code: TZ

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

value: Lower middle income

capitalCity: Dodoma

country_code: TZA

country_name: Tanzania

value: Access to non-solid fuel, rural (% of rural population)


value: WDI Database Archives

Uganda

iso2Code: UG

iso2code: XM

value: Low income

capitalCity: Kampala

country_code: UGA

country_name: Uganda

value: CC BY-4.0


Ukraine

iso2Code: UA

value: Europe & Central Asia

value: Europe & Central Asia (excluding high income)

iso2code: XN

iso2code: XF

value: IBRD

capitalCity: Kiev

country_code: UKR

country_name: Ukraine

value: Access to non-solid fuel, rural is the percentage of rural population with access to non-solid fuel.

value: Annual

value: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.


value: Agriculture & Rural Development

Upper middle income

iso2Code: XT

value: Aggregates

country_code: UMC

country_name: Upper middle income

value: Weighted average


value: Energy & Mining

Uruguay

iso2Code: UY

iso2code: ZJ

value: Latin America & Caribbean

value: High income

capitalCity: Montevideo

country_code: URY

country_name: Uruguay

value: Environment: Energy production & use

value: Data for access to Non-Solid Fuel 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). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


value: WDI Database Archives

United States

iso2Code: US

iso2code: XU

value: North America

iso2code: XD

iso2code: XX

value: Not classified

capitalCity: Washington D.C.

country_code: USA

country_name: United States

value: Access to non-solid fuel, rural (% of rural population)


Uzbekistan

iso2Code: UZ

value: Europe & Central Asia

value: Europe & Central Asia (excluding high income)

value: Lower middle income

iso2code: XH

value: Blend

capitalCity: Tashkent

country_code: UZB

country_name: Uzbekistan

value: CC BY-4.0


value: Agriculture & Rural Development

St. Vincent and the Grenadines

iso2Code: VC

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

value: Upper middle income

capitalCity: Kingstown

country_code: VCT

country_name: St. Vincent and the Grenadines

value: Access to non-solid fuel, rural is the percentage of rural population with access to non-solid fuel.

value: Annual

value: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.


value: Energy & Mining

Venezuela, RB

iso2Code: VE

value: Latin America & Caribbean

iso2code: XY

value: IBRD

capitalCity: Caracas

country_code: VEN

country_name: Venezuela, RB

value: Weighted average

value: Environment: Energy production & use


value: WDI Database Archives

British Virgin Islands

iso2Code: VG

value: High income

value: Not classified

capitalCity: Road Town

country_code: VGB

country_name: British Virgin Islands

value: Access to non-solid fuel, rural (% of rural population)

value: Data for access to Non-Solid Fuel 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). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


Virgin Islands (U.S.)

iso2Code: VI

capitalCity: Charlotte Amalie

country_code: VIR

country_name: Virgin Islands (U.S.)

value: CC BY-4.0


value: Agriculture & Rural Development

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


Vanuatu

iso2Code: VU

iso2code: XI

value: IDA

capitalCity: Port-Vila

country_code: VUT

country_name: Vanuatu

value: Access to non-solid fuel, rural is the percentage of rural population with access to non-solid fuel.

value: Annual


value: Energy & Mining

country_code: WBG

country_name: West Bank and Gaza

value: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.


World

value: Aggregates

country_code: WLD

country_name: World

value: Weighted average


value: WDI Database Archives

Samoa

iso2Code: WS

capitalCity: Apia

country_code: WSM

country_name: Samoa

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 non-solid fuel, rural (% of rural population)

value: CC BY-4.0

value: Data for access to Non-Solid Fuel 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). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


value: Agriculture & Rural Development

country_code: YMD

country_name: Yemen, PDR

value: Access to non-solid fuel, rural is the percentage of rural population with access to non-solid fuel.


value: Energy & Mining

country_code: YUG

country_name: Serbia and Montenegro

value: Annual


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: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.


value: WDI Database Archives

country_code: ZAR

country_name: Congo, Dem. Rep.

value: Weighted average

value: Environment: Energy production & use


Zambia

iso2Code: ZM

value: Lower middle income

value: IDA

capitalCity: Lusaka

country_code: ZMB

country_name: Zambia


Zimbabwe

iso2Code: ZW

iso2code: XH

value: Blend

capitalCity: Harare

country_code: ZWE

country_name: Zimbabwe


name: Access to non-solid fuel, urban (% of urban population)

sourceNone: Access to non-solid fuel, urban is the percentage of urban population with access to non-solid fuel.

value: Urban Development

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


country_code: ADO

country_name: Andorra

value: Access to non-solid fuel, urban (% of urban population)

value: CC BY-4.0

value: Access to non-solid fuel, urban is the percentage of urban population with access to non-solid fuel.

value: Data for access to Non-Solid Fuel 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). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


value: Energy & Mining

Africa Eastern and Southern

iso2Code: ZH

value: Aggregates

country_code: AFE

country_name: Africa Eastern and Southern

value: Annual


value: WDI Database Archives

Afghanistan

iso2Code: AF

value: South Asia

value: Low income

iso2code: XI

capitalCity: Kabul

country_code: AFG

country_name: Afghanistan

value: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.


Africa Western and Central

iso2Code: ZI

country_code: AFW

country_name: Africa Western and Central

value: Weighted average

value: Environment: Energy production & use


value: Urban Development

Angola

iso2Code: AO

value: Sub-Saharan Africa

value: Sub-Saharan Africa (excluding high income)

iso2code: XN

value: Lower middle income

value: IBRD

capitalCity: Luanda

country_code: AGO

country_name: Angola


Albania

iso2Code: AL

value: Europe & Central Asia

value: Europe & Central Asia (excluding high income)

iso2code: XT

value: Upper middle income

capitalCity: Tirane

country_code: ALB

country_name: Albania

value: Access to non-solid fuel, urban (% of urban population)

value: CC BY-4.0


value: Energy & Mining

Andorra

iso2Code: AD

value: High income

value: Not classified

capitalCity: Andorra la Vella

country_code: AND

value: Access to non-solid fuel, urban is the percentage of urban population with access to non-solid fuel.

value: Annual

value: Data for access to Non-Solid Fuel 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). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


value: WDI Database Archives

country_code: ANT

country_name: Netherlands Antilles

value: Weighted average

value: Environment: Energy production & use

value: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.


value: Urban Development

Arab World

value: Aggregates

country_code: ARB

country_name: Arab World


United Arab Emirates

iso2Code: AE

iso2code: ZQ

value: Middle East & North Africa

capitalCity: Abu Dhabi

country_code: ARE

country_name: United Arab Emirates


Argentina

iso2Code: AR

value: Latin America & Caribbean

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

iso2code: XF

value: IBRD

capitalCity: Buenos Aires

country_code: ARG

country_name: Argentina


Armenia

iso2Code: AM

value: Europe & Central Asia

value: Europe & Central Asia (excluding high income)

value: Upper middle income

capitalCity: Yerevan

country_code: ARM

country_name: Armenia

value: Access to non-solid fuel, urban (% of urban population)

value: CC BY-4.0


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: Access to non-solid fuel, urban is the percentage of urban population with access to non-solid fuel.

value: Annual


value: WDI Database Archives

value: Urban Development

Antigua and Barbuda

iso2Code: AG

iso2code: ZJ

capitalCity: Saint John's

country_code: ATG

country_name: Antigua and Barbuda

value: Weighted average

value: Environment: Energy production & use

value: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.

value: Data for access to Non-Solid Fuel 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). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


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: IBRD

capitalCity: Baku

country_code: AZE

country_name: Azerbaijan


Burundi

iso2Code: BI

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

iso2code: XM

value: Low income

iso2code: XI

value: IDA

capitalCity: Bujumbura

country_code: BDI

country_name: Burundi

value: Access to non-solid fuel, urban (% of urban population)


value: Energy & Mining

Belgium

iso2Code: BE

value: High income

value: Not classified

capitalCity: Brussels

country_code: BEL

country_name: Belgium

value: CC BY-4.0


value: WDI Database Archives

value: Urban Development

Benin

iso2Code: BJ

iso2code: XN

value: Lower middle income

capitalCity: Porto-Novo

country_code: BEN

country_name: Benin

value: Access to non-solid fuel, urban is the percentage of urban population with access to non-solid fuel.

value: Annual


Burkina Faso

iso2Code: BF

capitalCity: Ouagadougou

country_code: BFA

country_name: Burkina Faso

value: Weighted average

value: Environment: Energy production & use

value: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.

value: Data for access to Non-Solid Fuel 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). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


Bangladesh

iso2Code: BD

value: South Asia

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: Energy & Mining

Bahrain

iso2Code: BH

iso2code: ZQ

value: Middle East & North Africa

iso2code: XD

value: High income

capitalCity: Manama

country_code: BHR

country_name: Bahrain

value: Access to non-solid fuel, urban (% of urban population)


value: WDI Database Archives

value: Urban Development

Bahamas, The

iso2Code: BS

iso2code: ZJ

value: Latin America & Caribbean

iso2code: XX

value: Not classified

capitalCity: Nassau

country_code: BHS

country_name: Bahamas, The

value: CC BY-4.0


Bosnia and Herzegovina

iso2Code: BA

capitalCity: Sarajevo

country_code: BIH

country_name: Bosnia and Herzegovina

value: Weighted average

value: Access to non-solid fuel, urban is the percentage of urban population with access to non-solid fuel.

value: Annual

value: Environment: Energy production & use


Belarus

iso2Code: BY

value: Europe & Central Asia

capitalCity: Minsk

country_code: BLR

country_name: Belarus

value: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.

value: Data for access to Non-Solid Fuel 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). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


Belize

iso2Code: BZ

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

value: Upper middle income

value: IBRD

capitalCity: Belmopan

country_code: BLZ

country_name: Belize


value: Energy & Mining

Bermuda

iso2Code: BM

iso2code: XU

value: North America

value: High income

capitalCity: Hamilton

country_code: BMU

country_name: Bermuda


value: WDI Database Archives

value: Urban Development

Bolivia

iso2Code: BO

iso2code: XN

value: Lower middle income

capitalCity: La Paz

country_code: BOL

country_name: Bolivia

value: Access to non-solid fuel, urban (% of urban population)


Brazil

iso2Code: BR

value: Latin America & Caribbean

capitalCity: Brasilia

country_code: BRA

country_name: Brazil

value: Weighted average

value: CC BY-4.0


Barbados

iso2Code: BB

value: Not classified

capitalCity: Bridgetown

country_code: BRB

country_name: Barbados

value: Access to non-solid fuel, urban is the percentage of urban population with access to non-solid fuel.

value: Annual

value: Environment: Energy production & use


Brunei Darussalam

iso2Code: BN

value: East Asia & Pacific

capitalCity: Bandar Seri Begawan

country_code: BRN

country_name: Brunei Darussalam

value: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.

value: Data for access to Non-Solid Fuel 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). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


value: Energy & Mining

Bhutan

iso2Code: BT

value: South Asia

iso2code: XI

value: IDA

capitalCity: Thimphu

country_code: BTN

country_name: Bhutan


value: WDI Database Archives

Botswana

iso2Code: BW

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

iso2code: XT

value: Upper middle income

iso2code: XF

value: IBRD

capitalCity: Gaborone

country_code: BWA

country_name: Botswana


value: Urban Development

Sub-Saharan Africa (IFC classification)

value: Aggregates

country_code: CAA

country_name: Sub-Saharan Africa (IFC classification)

value: Weighted average

value: Access to non-solid fuel, urban (% of urban population)


Central African Republic

iso2Code: CF

iso2code: XM

value: Low income

capitalCity: Bangui

country_code: CAF

country_name: Central African Republic

value: CC BY-4.0

value: Access to non-solid fuel, urban is the percentage of urban population with access to non-solid fuel.

value: Annual


Canada

iso2Code: CA

value: North America

iso2code: XD

value: High income

iso2code: XX

value: Not classified

capitalCity: Ottawa

country_code: CAN

country_name: Canada

value: Environment: Energy production & use

value: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.

value: Data for access to Non-Solid Fuel 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). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


value: WDI Database Archives

value: Energy & Mining

name: East Asia and the Pacific (IFC classification)

country_code: CEA


country_code: CEB

country_name: Central Europe and the Baltics


name: Europe and Central Asia (IFC classification)

country_code: CEU


Switzerland

iso2Code: CH

value: Europe & Central Asia

capitalCity: Bern

country_code: CHE

country_name: Switzerland


value: Urban Development

Channel Islands

iso2Code: JG

country_code: CHI

country_name: Channel Islands


Chile

iso2Code: CL

iso2code: ZJ

value: Latin America & Caribbean

value: IBRD

capitalCity: Santiago

country_code: CHL

country_name: Chile


China

iso2Code: CN

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

value: Upper middle income

capitalCity: Beijing

country_code: CHN

country_name: China

value: Weighted average

value: Access to non-solid fuel, urban (% of urban population)


Cote d'Ivoire

iso2Code: CI

value: Sub-Saharan Africa

value: Sub-Saharan Africa (excluding high income)

iso2code: XN

value: Lower middle income

value: IDA

capitalCity: Yamoussoukro

country_code: CIV

country_name: Côte d'Ivoire

value: CC BY-4.0

value: Access to non-solid fuel, urban is the percentage of urban population with access to non-solid fuel.

value: Annual


value: WDI Database Archives

value: Energy & Mining

name: Latin America and the Caribbean (IFC classification)

value: Aggregates

country_code: CLA

value: Environment: Energy production & use

value: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.

value: Data for access to Non-Solid Fuel 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). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


value: Urban Development

name: Middle East and North Africa (IFC classification)

country_code: CME


Cameroon

iso2Code: CM

iso2code: XH

value: Blend

capitalCity: Yaounde

country_code: CMR

country_name: Cameroon


country_code: CNI

country_name: China and India

value: Weighted average


Congo, Dem. Rep.

iso2Code: CD

iso2code: ZG

iso2code: ZF

value: Low income

iso2code: XI

capitalCity: Kinshasa

country_code: COD

country_name: Congo, Dem. Rep.

value: Access to non-solid fuel, urban (% of urban population)


Congo, Rep.

iso2Code: CG

value: Sub-Saharan Africa

value: Sub-Saharan Africa (excluding high income)

capitalCity: Brazzaville

country_code: COG

country_name: Congo, Rep.


Colombia

iso2Code: CO

value: Latin America & Caribbean

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

iso2code: XT

value: Upper middle income

iso2code: XF

value: IBRD

capitalCity: Bogota

country_code: COL

country_name: Colombia


value: WDI Database Archives

Comoros

iso2Code: KM

value: Lower middle income

value: IDA

capitalCity: Moroni

country_code: COM

country_name: Comoros

value: CC BY-4.0

value: Access to non-solid fuel, urban is the percentage of urban population with access to non-solid fuel.

value: Annual


value: Energy & Mining

value: Urban Development

Cabo Verde

iso2Code: CV

capitalCity: Praia

country_code: CPV

country_name: Cabo Verde

value: Environment: Energy production & use

value: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.

value: Data for access to Non-Solid Fuel 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). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


Costa Rica

iso2Code: CR

iso2code: ZJ

capitalCity: San Jose

country_code: CRI

country_name: Costa Rica

value: Weighted average

value: Access to non-solid fuel, urban (% of urban population)


South Asia (IFC classification)

value: Aggregates

country_code: CSA

country_name: South Asia (IFC classification)


country_code: CSK

country_name: Czechoslovakia


country_code: CSS

country_name: Caribbean small states


Cuba

iso2Code: CU

value: Latin America & Caribbean

value: Latin America & Caribbean (excluding high income)

iso2code: XX

value: Not classified

capitalCity: Havana

country_code: CUB

country_name: Cuba


value: WDI Database Archives

Curacao

iso2Code: CW

iso2code: XD

value: High income

capitalCity: Willemstad

country_code: CUW

country_name: Curacao


Cayman Islands

iso2Code: KY

capitalCity: George Town

country_code: CYM

country_name: Cayman Islands


Cyprus

iso2Code: CY

value: Europe & Central Asia

capitalCity: Nicosia

country_code: CYP

country_name: Cyprus


Czechia

iso2Code: CZ

capitalCity: Prague

country_code: CZE

country_name: Czech Republic

value: CC BY-4.0


Germany

iso2Code: DE

capitalCity: Berlin

country_code: DEU

country_name: Germany

value: Access to non-solid fuel, urban is the percentage of urban population with access to non-solid fuel.


Djibouti

iso2Code: DJ

iso2code: ZQ

value: Middle East & North Africa

iso2code: XQ

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

iso2code: XN

value: Lower middle income

iso2code: XI

value: IDA

capitalCity: Djibouti

country_code: DJI

country_name: Djibouti

value: Annual


value: Energy & Mining

value: Urban Development

Dominica

iso2Code: DM

iso2code: XJ

iso2code: XT

value: Upper middle income

iso2code: XH

value: Blend

capitalCity: Roseau

country_code: DMA

country_name: Dominica

value: Environment: Energy production & use

value: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.

value: Data for access to Non-Solid Fuel 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). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


value: WDI Database Archives

Denmark

iso2Code: DK

value: Not classified

capitalCity: Copenhagen

country_code: DNK

country_name: Denmark

value: Weighted average

value: Access to non-solid fuel, urban (% of urban population)


Dominican Republic

iso2Code: DO

iso2code: ZJ

value: Latin America & Caribbean

value: Latin America & Caribbean (excluding high income)

iso2code: XF

value: IBRD

capitalCity: Santo Domingo

country_code: DOM

country_name: Dominican Republic

value: CC BY-4.0

value: Access to non-solid fuel, urban is the percentage of urban population with access to non-solid fuel.


Algeria

iso2Code: DZ

value: Middle East & North Africa

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

value: Lower middle income

capitalCity: Algiers

country_code: DZA

country_name: Algeria

value: Annual


value: Energy & Mining

value: Urban Development

name: East Asia & Pacific (excluding high income)

value: Aggregates

country_code: EAP


country_code: EAR

country_name: Early-demographic dividend

value: Environment: Energy production & use

value: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.

value: Data for access to Non-Solid Fuel 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). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


value: WDI Database Archives

country_code: EAS

country_name: East Asia & Pacific

value: Weighted average


name: Europe & Central Asia (excluding high income)

country_code: ECA

value: Access to non-solid fuel, urban (% of urban population)


country_code: ECS

country_name: Europe & Central Asia


Ecuador

iso2Code: EC

value: Latin America & Caribbean

value: Latin America & Caribbean (excluding high income)

value: Upper middle income

capitalCity: Quito

country_code: ECU

country_name: Ecuador


country_code: EEC

country_name: European Community

value: CC BY-4.0

value: Access to non-solid fuel, urban is the percentage of urban population with access to non-solid fuel.


country_code: EER

country_name: EASTERN EUROPE


Egypt, Arab Rep.

iso2Code: EG

value: Middle East & North Africa

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

value: IBRD

capitalCity: Cairo

country_code: EGY

country_name: Egypt, Arab Rep.


value: Energy & Mining

Euro area

iso2Code: XC

country_code: EMU

country_name: Euro area

value: Annual


value: Urban Development

Eritrea

iso2Code: ER

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

iso2code: XM

value: Low income

value: IDA

capitalCity: Asmara

country_code: ERI

country_name: Eritrea


value: WDI Database Archives

Spain

iso2Code: ES

value: Europe & Central Asia

iso2code: XD

value: High income

iso2code: XX

value: Not classified

capitalCity: Madrid

country_code: ESP

country_name: Spain

value: Weighted average

value: Environment: Energy production & use

value: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.

value: Data for access to Non-Solid Fuel 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). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


Estonia

iso2Code: EE

capitalCity: Tallinn

country_code: EST

country_name: Estonia

value: Access to non-solid fuel, urban (% of urban population)

value: CC BY-4.0

value: Access to non-solid fuel, urban is the percentage of urban population with access to non-solid fuel.


value: Energy & Mining

Ethiopia

iso2Code: ET

iso2code: XI

capitalCity: Addis Ababa

country_code: ETH

country_name: Ethiopia

value: Annual


value: Urban Development

European Union

iso2Code: EU

value: Aggregates

country_code: EUU

country_name: European Union


name: Fragile and conflict affected situations

country_code: FCS


Finland

iso2Code: FI

capitalCity: Helsinki

country_code: FIN

country_name: Finland


Fiji

iso2Code: FJ

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

iso2code: XT

value: Upper middle income

iso2code: XH

value: Blend

capitalCity: Suva

country_code: FJI

country_name: Fiji


value: WDI Database Archives

France

iso2Code: FR

value: Europe & Central Asia

value: High income

capitalCity: Paris

country_code: FRA

country_name: France


Faroe Islands

iso2Code: FO

value: Not classified

capitalCity: Torshavn

country_code: FRO

country_name: Faroe Islands

value: Weighted average

value: Environment: Energy production & use


Micronesia, Fed. Sts.

iso2Code: FM

iso2code: XN

value: Lower middle income

value: IDA

capitalCity: Palikir

country_code: FSM

country_name: Micronesia, Fed. Sts.

value: Access to non-solid fuel, urban (% of urban population)

value: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.

value: Data for access to Non-Solid Fuel 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). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


value: Energy & Mining

value: Urban Development

Gabon

iso2Code: GA

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

iso2code: XF

value: IBRD

capitalCity: Libreville

country_code: GAB

country_name: Gabon

value: CC BY-4.0

value: Access to non-solid fuel, urban is the percentage of urban population with access to non-solid fuel.

value: Annual


value: WDI Database Archives

United Kingdom

iso2Code: GB

value: Europe & Central Asia

iso2code: XD

value: High income

iso2code: XX

capitalCity: London

country_code: GBR

country_name: United Kingdom