Georgia

iso2Code: GE

value: Europe & Central Asia (excluding high income)

value: Upper middle income

capitalCity: Tbilisi

country_code: GEO

country_name: Georgia

value: Weighted average

value: Environment: Energy production & use


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

value: WDI Database Archives

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

value: Energy & Mining

value: Urban Development

Ghana

iso2Code: GH

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

iso2code: XN

value: Lower middle income

iso2code: XI

value: IDA

capitalCity: Accra

country_code: GHA

country_name: Ghana

value: CC BY-4.0

value: Annual

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.

schema: wb


Gibraltar

iso2Code: GI

value: Europe & Central Asia

iso2code: XD

value: High income

iso2code: XX

value: Not classified

country_code: GIB

country_name: Gibraltar

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

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


Guinea

iso2Code: GN

capitalCity: Conakry

country_code: GIN

country_name: Guinea

value: Weighted average

value: Environment: Energy production & use


value: WDI Database Archives

value: Energy & Mining

country_code: GLP

country_name: Guadeloupe


value: Urban Development

Gambia, The

iso2Code: GM

value: Sub-Saharan Africa

iso2code: XM

value: Low income

capitalCity: Banjul

country_code: GMB

country_name: Gambia, The


Guinea-Bissau

iso2Code: GW

value: Sub-Saharan Africa (excluding high income)

value: IDA

capitalCity: Bissau

country_code: GNB

country_name: Guinea-Bissau


Equatorial Guinea

iso2Code: GQ

iso2code: XT

value: Upper middle income

iso2code: XF

value: IBRD

capitalCity: Malabo

country_code: GNQ

country_name: Equatorial Guinea

value: CC BY-4.0

value: Annual


Greece

iso2Code: GR

value: Europe & Central Asia

value: High income

capitalCity: Athens

country_code: GRC

country_name: Greece

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.


Grenada

iso2Code: GD

iso2code: ZJ

value: Latin America & Caribbean

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

iso2code: XH

value: Blend

capitalCity: Saint George's

country_code: GRD

country_name: Grenada

value: Weighted average

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

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


value: WDI Database Archives

value: Energy & Mining

value: Urban Development

Greenland

iso2Code: GL

value: Not classified

capitalCity: Nuuk

country_code: GRL

country_name: Greenland

value: Environment: Energy production & use


Guatemala

iso2Code: GT

value: Upper middle income

value: IBRD

capitalCity: Guatemala City

country_code: GTM

country_name: Guatemala

value: CC BY-4.0


country_code: GUF

country_name: French Guiana

value: Annual


Guam

iso2Code: GU

value: East Asia & Pacific

value: High income

capitalCity: Agana

country_code: GUM

country_name: Guam

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


Guyana

iso2Code: GY

value: Latin America & Caribbean

iso2code: XD

iso2code: XI

value: IDA

capitalCity: Georgetown

country_code: GUY

country_name: Guyana

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.


High income

value: Aggregates

country_code: HIC

country_name: High income

value: Weighted average

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


value: WDI Database Archives

value: Energy & Mining

Hong Kong SAR, China

iso2Code: HK

iso2code: XX

country_code: HKG

country_name: Hong Kong, China

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


value: Urban Development

Honduras

iso2Code: HN

value: Latin America & Caribbean (excluding high income)

iso2code: XN

value: Lower middle income

capitalCity: Tegucigalpa

country_code: HND

country_name: Honduras

value: Environment: Energy production & use


Heavily indebted poor countries (HIPC)

iso2Code: XE

country_code: HPC

country_name: Heavily indebted poor countries (HIPC)

value: CC BY-4.0

value: Annual


Croatia

iso2Code: HR

value: Europe & Central Asia

value: High income

iso2code: XF

value: IBRD

capitalCity: Zagreb

country_code: HRV

country_name: Croatia


Haiti

iso2Code: HT

value: Latin America & Caribbean

value: IDA

capitalCity: Port-au-Prince

country_code: HTI

country_name: Haiti

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


Hungary

iso2Code: HU

value: Not classified

capitalCity: Budapest

country_code: HUN

country_name: Hungary

value: Weighted average

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

IBRD only

value: Aggregates

country_code: IBD

country_name: IBRD only

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


value: Urban Development

IDA & IBRD total

iso2Code: ZT

country_code: IBT

country_name: IDA & IBRD total

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


IDA total

iso2Code: XG

country_code: IDA

country_name: IDA total

value: CC BY-4.0

value: Environment: Energy production & use


IDA blend

iso2Code: XH

country_code: IDB

country_name: IDA blend

value: Annual


Indonesia

iso2Code: ID

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

iso2code: XT

value: Upper middle income

capitalCity: Jakarta

country_code: IDN

country_name: Indonesia


country_code: IDX

country_name: IDA only


Isle of Man

iso2Code: IM

value: Europe & Central Asia

value: High income

capitalCity: Douglas

country_code: IMN

country_name: Isle of Man


country_code: IMY

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


India

iso2Code: IN

value: South Asia

value: Lower middle income

value: IBRD

capitalCity: New Delhi

country_code: IND

country_name: India

value: Weighted average


value: WDI Database Archives

value: Energy & Mining

Ireland

iso2Code: IE

iso2code: XD

value: Not classified

capitalCity: Dublin

country_code: IRL

country_name: Ireland

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

Iran, Islamic Rep.

iso2Code: IR

iso2code: ZQ

value: Middle East & North Africa

iso2code: XQ

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

capitalCity: Tehran

country_code: IRN

country_name: Iran, Islamic Rep.

value: 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.


Iraq

iso2Code: IQ

value: Upper middle income

capitalCity: Baghdad

country_code: IRQ

country_name: Iraq

value: Annual

value: Environment: Energy production & use


country_code: ISD

country_name: Severely Indebted

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


Iceland

iso2Code: IS

value: Europe & Central Asia

value: High income

iso2code: XX

capitalCity: Reykjavik

country_code: ISL

country_name: Iceland


Israel

iso2Code: IL

country_code: ISR

country_name: Israel

value: Weighted average


value: WDI Database Archives

Italy

iso2Code: IT

capitalCity: Rome

country_code: ITA

country_name: Italy


value: Energy & Mining

Jamaica

iso2Code: JM

iso2code: ZJ

value: Latin America & Caribbean

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

iso2code: XF

value: IBRD

capitalCity: Kingston

country_code: JAM

country_name: Jamaica


value: Urban Development

Jordan

iso2Code: JO

value: Middle East & North Africa

iso2code: XN

value: Lower middle income

capitalCity: Amman

country_code: JOR

country_name: Jordan

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.


Japan

iso2Code: JP

value: East Asia & Pacific

value: Not classified

capitalCity: Tokyo

country_code: JPN

country_name: Japan

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.


Kazakhstan

iso2Code: KZ

value: Europe & Central Asia

value: Europe & Central Asia (excluding high income)

iso2code: XT

value: Upper middle income

capitalCity: Astana

country_code: KAZ

country_name: Kazakhstan

value: Annual

value: Environment: Energy production & use

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


value: WDI Database Archives

value: Energy & Mining

Kenya

iso2Code: KE

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

iso2code: XH

value: Blend

capitalCity: Nairobi

country_code: KEN

country_name: Kenya

value: Weighted average


value: Urban Development

Kyrgyz Republic

iso2Code: KG

value: Lower middle income

iso2code: XI

value: IDA

capitalCity: Bishkek

country_code: KGZ

country_name: Kyrgyz Republic

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.


Cambodia

iso2Code: KH

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

capitalCity: Phnom Penh

country_code: KHM

country_name: Cambodia

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.


Kiribati

iso2Code: KI

capitalCity: Tarawa

country_code: KIR

country_name: Kiribati

value: Annual

value: Environment: Energy production & use


value: WDI Database Archives

St. Kitts and Nevis

iso2Code: KN

value: Latin America & Caribbean

iso2code: XD

value: High income

value: IBRD

capitalCity: Basseterre

country_code: KNA

country_name: St. Kitts and Nevis

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


value: Energy & Mining

Korea, Rep.

iso2Code: KR

iso2code: XX

value: Not classified

capitalCity: Seoul

country_code: KOR

country_name: Korea, Rep.

value: Weighted average


value: Urban Development

country_code: KSV

country_name: Kosovo


Kuwait

iso2Code: KW

iso2code: ZQ

value: Middle East & North Africa

capitalCity: Kuwait City

country_code: KWT

country_name: Kuwait

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.


iso2Code: XJ

name: Latin America & Caribbean (excluding high income)

value: Aggregates

country_code: LAC


Lao PDR

iso2Code: LA

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

iso2code: XN

value: Lower middle income

value: IDA

capitalCity: Vientiane

country_code: LAO

country_name: Lao PDR

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


value: WDI Database Archives

Lebanon

iso2Code: LB

iso2code: XQ

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

iso2code: XF

capitalCity: Beirut

country_code: LBN

country_name: Lebanon

value: CC BY-4.0

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

value: Annual

value: Environment: Energy production & use


value: Energy & Mining

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


value: Urban 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: 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

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, urban (% of urban population)


Latin America & Caribbean

value: Aggregates

country_code: LCN

country_name: Latin America & Caribbean

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: Environment: Energy production & use


value: Energy & Mining

iso2Code: XL

name: Least developed countries: UN classification

country_code: LDC

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


value: Urban 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: 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: LIX

country_name: Low income, excluding China and India


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


Lower middle income

value: Aggregates

country_code: LMC

country_name: Lower middle income

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


Low & middle income

iso2Code: XO

country_code: LMY

country_name: Low & middle income

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: LSA

country_name: Low-income Africa

value: Annual

value: Environment: Energy production & use


value: Energy & Mining

Lesotho

iso2Code: LS

value: Sub-Saharan Africa

value: Sub-Saharan Africa (excluding high income)

capitalCity: Maseru

country_code: LSO

country_name: Lesotho

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


value: Urban Development

country_code: LTE

country_name: Late-demographic dividend


Lithuania

iso2Code: LT

value: Europe & Central Asia

value: High income

value: Not classified

capitalCity: Vilnius

country_code: LTU

country_name: Lithuania

value: Weighted average


value: WDI Database Archives

Luxembourg

iso2Code: LU

capitalCity: Luxembourg

country_code: LUX

country_name: Luxembourg

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


Macao SAR, China

iso2Code: MO

value: East Asia & Pacific

country_code: MAC

country_name: Macao SAR, China


St. Martin (French part)

iso2Code: MF

value: Latin America & Caribbean

capitalCity: Marigot

country_code: MAF

country_name: St. Martin (French part)

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


Morocco

iso2Code: MA

iso2code: ZQ

value: Middle East & North Africa

iso2code: XQ

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

value: Lower middle income

iso2code: XF

value: IBRD

capitalCity: Rabat

country_code: MAR

country_name: Morocco

value: CC BY-4.0

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


value: Energy & Mining

Monaco

iso2Code: MC

capitalCity: Monaco

country_code: MCO

country_name: Monaco

value: Annual

value: Environment: Energy production & use

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


value: Urban Development

Moldova

iso2Code: MD

value: Europe & Central Asia

value: Europe & Central Asia (excluding high income)

iso2code: XT

value: Upper middle income

capitalCity: Chisinau

country_code: MDA

country_name: Moldova


value: WDI Database Archives

Middle East (developing only)

value: Aggregates

country_code: MDE

country_name: Middle East (developing only)

value: Weighted average

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.


Madagascar

iso2Code: MG

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

iso2code: XM

value: Low income

value: IDA

capitalCity: Antananarivo

country_code: MDG

country_name: Madagascar

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


value: Energy & Mining

Maldives

iso2Code: MV

value: South Asia

iso2code: XI

capitalCity: Male

country_code: MDV

country_name: Maldives

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: Urban Development

country_code: MEA

country_name: Middle East & North Africa

value: Annual

value: Environment: Energy production & use

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


value: WDI Database Archives

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


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: Weighted average

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

Middle income

iso2Code: XP

value: Aggregates

country_code: MIC

country_name: Middle income

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


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: CC BY-4.0

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


value: Urban Development

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: Environment: Energy production & use

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


value: WDI Database Archives

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: Weighted average


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: Access to non-solid fuel, urban (% of urban 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.


value: Urban Development

iso2Code: XQ

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

value: Aggregates

country_code: MNA

value: CC BY-4.0

value: Access to non-solid fuel, urban is the percentage of urban 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: Environment: Energy production & use


value: WDI Database Archives

Mongolia

iso2Code: MN

capitalCity: Ulaanbaatar

country_code: MNG

country_name: Mongolia

value: Weighted average

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


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


value: Urban Development

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: Access to non-solid fuel, urban (% of urban 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.


Mauritania

iso2Code: MR

value: Lower middle income

capitalCity: Nouakchott

country_code: MRT

country_name: Mauritania

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: WDI Database Archives

country_code: MTQ

country_name: Martinique

value: Annual

value: Environment: Energy production & use


value: Energy & Mining

Mauritius

iso2Code: MU

value: Upper middle income

value: IBRD

capitalCity: Port Louis

country_code: MUS

country_name: Mauritius

value: Weighted average

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


value: Urban Development

Malawi

iso2Code: MW

value: Sub-Saharan Africa

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


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.


Namibia

value: Sub-Saharan Africa (excluding high income)

capitalCity: Windhoek

country_code: NAM

country_name: Namibia

value: CC BY-4.0


value: WDI Database Archives

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


value: Energy & Mining

Niger

iso2Code: NE

value: Low income

value: IDA

capitalCity: Niamey

country_code: NER

country_name: Niger

value: Annual

value: Environment: Energy production & use


value: Urban Development

Nigeria

iso2Code: NG

value: Sub-Saharan Africa

iso2code: XN

value: Lower middle income

iso2code: XH

value: Blend

capitalCity: Abuja

country_code: NGA

country_name: Nigeria

value: Weighted average

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


Nicaragua

iso2Code: NI

iso2code: ZJ

value: Latin America & Caribbean

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

capitalCity: Managua

country_code: NIC

country_name: Nicaragua

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


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: CC BY-4.0


value: Energy & Mining

country_code: NOC

country_name: High income: nonOECD

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

value: Annual


value: Urban Development

Norway

iso2Code: NO

capitalCity: Oslo

country_code: NOR

country_name: Norway

value: Environment: Energy production & use


Nepal

iso2Code: NP

value: South Asia

value: Lower middle income

iso2code: XI

value: IDA

capitalCity: Kathmandu

country_code: NPL

country_name: Nepal


Nauru

iso2Code: NR

value: East Asia & Pacific

iso2code: XF

value: IBRD

capitalCity: Yaren District

country_code: NRU

country_name: Nauru

value: Weighted average

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


value: WDI Database Archives

New Zealand

iso2Code: NZ

capitalCity: Wellington

country_code: NZL

country_name: New Zealand

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


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: CC BY-4.0


value: Energy & Mining

value: Urban Development

country_code: OSS

country_name: Other small states

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

value: Annual


Pakistan

iso2Code: PK

value: South Asia

value: Lower middle income

value: Blend

capitalCity: Islamabad

country_code: PAK

country_name: Pakistan

value: Environment: Energy production & use


Panama

iso2Code: PA

value: Latin America & Caribbean

value: IBRD

capitalCity: Panama City

country_code: PAN

country_name: Panama

value: Weighted average

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


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: Access to non-solid fuel, urban (% of urban 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.


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: CC BY-4.0


value: Urban Development

Palau

iso2Code: PW

capitalCity: Koror

country_code: PLW

country_name: Palau

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

value: Annual


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: Environment: Energy production & use


Poland

iso2Code: PL

value: Europe & Central Asia

value: High income

value: IBRD

capitalCity: Warsaw

country_code: POL

country_name: Poland

value: Weighted average


value: WDI Database Archives

Pre-demographic dividend

value: Aggregates

country_code: PRE

country_name: Pre-demographic dividend

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


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: Access to non-solid fuel, urban (% of urban 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.


value: Urban Development

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: CC BY-4.0

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


Portugal

iso2Code: PT

value: Europe & Central Asia

value: High income

capitalCity: Lisbon

country_code: PRT

country_name: Portugal

value: Annual

value: Environment: Energy production & use


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: Weighted average


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: 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: Urban Development

Pacific island small states

value: Aggregates

country_code: PSS

country_name: Pacific island small states

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.


country_code: PST

country_name: Post-demographic dividend

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

French Polynesia

iso2Code: PF

value: East Asia & Pacific

iso2code: XD

value: High income

capitalCity: Papeete

country_code: PYF

country_name: French Polynesia

value: Environment: Energy production & use


Qatar

iso2Code: QA

capitalCity: Doha

country_code: QAT

country_name: Qatar

value: Weighted average


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: 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: Urban Development

South Asia

value: Aggregates

country_code: SAS

country_name: South Asia

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: 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

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: Weighted average

value: Environment: Energy production & use


Sudan

iso2Code: SD

value: Sub-Saharan Africa

value: Sub-Saharan Africa (excluding high income)

iso2code: XM

value: Low income

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: 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: Urban Development

Singapore

iso2Code: SG

value: East Asia & Pacific

capitalCity: Singapore

country_code: SGP

country_name: Singapore

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: WDI Database Archives

value: Energy & Mining

Solomon Islands

iso2Code: SB

value: East Asia & Pacific (excluding high income)

capitalCity: Honiara

country_code: SLB

country_name: Solomon Islands

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.


Sierra Leone

iso2Code: SL

capitalCity: Freetown

country_code: SLE

country_name: Sierra Leone

value: Weighted average

value: Environment: Energy production & use


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


San Marino

iso2Code: SM

value: Europe & Central Asia

iso2code: XD

value: High income

value: Not classified

capitalCity: San Marino

country_code: SMR

country_name: San Marino

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


value: Urban Development

Somalia

iso2Code: SO

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

value: Low income

value: IDA

capitalCity: Mogadishu

country_code: SOM

country_name: Somalia

value: CC BY-4.0

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


value: WDI Database Archives

value: Energy & Mining

Serbia

iso2Code: RS

value: Europe & Central Asia (excluding high income)

iso2code: XT

capitalCity: Belgrade

country_code: SRB

country_name: Serbia

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: 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.


name: Sub-Saharan Africa (excluding high income)

value: Aggregates

country_code: SSA

value: Environment: Energy production & use


South Sudan

iso2Code: SS

iso2code: XM

iso2code: XI

capitalCity: Juba

country_code: SSD

country_name: South Sudan

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


value: Urban Development

country_code: SSF

country_name: Sub-Saharan Africa


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: CC BY-4.0

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


value: Energy & Mining

Slovenia

iso2Code: SI

capitalCity: Ljubljana

country_code: SVN

country_name: Slovenia

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: 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

Sweden

iso2Code: SE

capitalCity: Stockholm

country_code: SWE

country_name: Sweden

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

value: Environment: Energy production & use


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: CC BY-4.0


value: Energy & Mining

Turks and Caicos Islands

iso2Code: TC

value: Not classified

capitalCity: Grand Turk

country_code: TCA

country_name: Turks and Caicos Islands

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


value: Urban Development

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

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: Energy & Mining

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: Weighted average

value: CC BY-4.0


value: Urban Development

Turkmenistan

iso2Code: TM

iso2code: XF

capitalCity: Ashgabat

country_code: TKM

country_name: Turkmenistan

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

value: Access to non-solid fuel, urban is the percentage of urban 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: 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: Energy & Mining

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: Urban Development

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: Weighted average

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, urban (% of urban population)

value: Access to non-solid fuel, urban is the percentage of urban 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

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: Urban Development

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: Weighted average


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, urban (% of urban population)

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

value: Annual


value: Energy & Mining

Upper middle income

iso2Code: XT

value: Aggregates

country_code: UMC

country_name: Upper middle income

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


value: Urban Development

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: Weighted average


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: Energy & Mining

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, urban (% of urban population)

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

value: Annual


value: Urban Development

Venezuela, RB

iso2Code: VE

value: Latin America & Caribbean

iso2code: XY

value: IBRD

capitalCity: Caracas

country_code: VEN

country_name: Venezuela, RB

value: Environment: Energy production & use

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


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: Weighted average

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: Energy & Mining

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, urban (% of urban population)

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


value: Urban Development

country_code: WBG

country_name: West Bank and Gaza

value: Annual


World

value: Aggregates

country_code: WLD

country_name: World

value: Environment: Energy production & use


value: WDI Database Archives

Samoa

iso2Code: WS

capitalCity: Apia

country_code: WSM

country_name: Samoa

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


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: Weighted average

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: Energy & Mining

country_code: YMD

country_name: Yemen, PDR

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


value: Urban Development

country_code: YUG

country_name: Serbia and Montenegro

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


South Africa

iso2Code: ZA

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

iso2code: XF

value: IBRD

capitalCity: Pretoria

country_code: ZAF

country_name: South Africa

value: Annual


value: WDI Database Archives

country_code: ZAR

country_name: Congo, Dem. Rep.

value: Environment: Energy production & use

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


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 (% of population)

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

value: Environment

Aruba

iso2Code: AW

iso2code: ZJ

value: Latin America & Caribbean

iso2code: XD

value: High income

iso2code: XX

value: Not classified

capitalCity: Oranjestad

country_code: ABW

country_name: Aruba

value: Weighted average


value: Energy & Mining

country_code: ADO

country_name: Andorra

value: CC BY-4.0

value: Access to non-solid fuel is the percentage of 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: Access to non-solid fuel (% of population)


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: Environment: Energy production & use


Africa Western and Central

iso2Code: ZI

country_code: AFW

country_name: Africa Western and Central

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


value: Environment

Angola

iso2Code: AO

value: Sub-Saharan Africa

value: Sub-Saharan Africa (excluding high income)

iso2code: XN

value: Lower middle income

value: IBRD

capitalCity: Luanda

country_code: AGO

country_name: Angola


value: Energy & Mining

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: Weighted average


Andorra

iso2Code: AD

value: High income

value: Not classified

capitalCity: Andorra la Vella

country_code: AND

value: CC BY-4.0

value: Access to non-solid fuel is the percentage of 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: Access to non-solid fuel (% of population)


value: WDI Database Archives

country_code: ANT

country_name: Netherlands Antilles

value: Annual

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

value: Environment: Energy production & use


value: Environment

Arab World

value: Aggregates

country_code: ARB

country_name: Arab World


value: Energy & Mining

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: Weighted average


American Samoa

iso2Code: AS

value: East Asia & Pacific

iso2code: XD

value: High income

value: Not classified

capitalCity: Pago Pago

country_code: ASM

country_name: American Samoa

value: CC BY-4.0

value: Access to non-solid fuel is the percentage of 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: WDI Database Archives

value: Environment

Antigua and Barbuda

iso2Code: AG

iso2code: ZJ

capitalCity: Saint John's

country_code: ATG

country_name: Antigua and Barbuda

value: Annual

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

value: Environment: Energy production & use

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


value: Energy & Mining

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: Weighted average


Belgium

iso2Code: BE

value: High income

value: Not classified

capitalCity: Brussels

country_code: BEL

country_name: Belgium

value: CC BY-4.0

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


value: WDI Database Archives

value: Environment

Benin

iso2Code: BJ

iso2code: XN

value: Lower middle income

capitalCity: Porto-Novo

country_code: BEN

country_name: Benin

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: Energy & Mining

Burkina Faso

iso2Code: BF

capitalCity: Ouagadougou

country_code: BFA

country_name: Burkina Faso

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

value: Environment: Energy production & use

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


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


Bahrain

iso2Code: BH

iso2code: ZQ

value: Middle East & North Africa

iso2code: XD

value: High income

value: Not classified

capitalCity: Manama

country_code: BHR

country_name: Bahrain

value: Weighted average


value: WDI Database Archives

value: Environment

Bahamas, The

iso2Code: BS

iso2code: ZJ

value: Latin America & Caribbean

iso2code: XX

capitalCity: Nassau

country_code: BHS

country_name: Bahamas, The

value: CC BY-4.0

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


value: Energy & Mining

Bosnia and Herzegovina

iso2Code: BA

capitalCity: Sarajevo

country_code: BIH

country_name: Bosnia and Herzegovina

value: Annual

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.


Belarus

iso2Code: BY

value: Europe & Central Asia

capitalCity: Minsk

country_code: BLR

country_name: Belarus

value: Environment: Energy production & use

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


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


Bermuda

iso2Code: BM

iso2code: XU

value: North America

value: High income

value: Not classified

capitalCity: Hamilton

country_code: BMU

country_name: Bermuda


value: WDI Database Archives

value: Environment

Bolivia

iso2Code: BO

iso2code: XN

value: Lower middle income

capitalCity: La Paz

country_code: BOL

country_name: Bolivia

value: Weighted average


value: Energy & Mining

Brazil

iso2Code: BR

value: Latin America & Caribbean

capitalCity: Brasilia

country_code: BRA

country_name: Brazil

value: CC BY-4.0

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


Barbados

iso2Code: BB

capitalCity: Bridgetown

country_code: BRB

country_name: Barbados

value: Annual

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.


Brunei Darussalam

iso2Code: BN

value: East Asia & Pacific

capitalCity: Bandar Seri Begawan

country_code: BRN

country_name: Brunei Darussalam

value: Environment: Energy production & use

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


Bhutan

iso2Code: BT

value: South Asia

iso2code: XI

value: IDA

capitalCity: Thimphu

country_code: BTN

country_name: Bhutan


Botswana

iso2Code: BW

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

iso2code: XT

value: Upper middle income

iso2code: XF

value: IBRD

capitalCity: Gaborone

country_code: BWA

country_name: Botswana


value: WDI Database Archives

value: Environment

Sub-Saharan Africa (IFC classification)

value: Aggregates

country_code: CAA

country_name: Sub-Saharan Africa (IFC classification)

value: Weighted average


value: Energy & Mining

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


Canada

iso2Code: CA

value: North America

iso2code: XD

value: High income

iso2code: XX

value: Not classified

capitalCity: Ottawa

country_code: CAN

country_name: Canada

value: Annual

value: World 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.


name: East Asia and the Pacific (IFC classification)

country_code: CEA

value: Environment: Energy production & use

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


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: WDI Database Archives

Channel Islands

iso2Code: JG

country_code: CHI

country_name: Channel Islands


value: Environment

Chile

iso2Code: CL

iso2code: ZJ

value: Latin America & Caribbean

value: IBRD

capitalCity: Santiago

country_code: CHL

country_name: Chile


value: Energy & Mining

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


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


name: Latin America and the Caribbean (IFC classification)

value: Aggregates

country_code: CLA

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


value: WDI Database Archives

value: Energy & Mining

value: Environment

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

value: Sub-Saharan Africa

iso2code: ZF

value: Low income

iso2code: XI

capitalCity: Kinshasa

country_code: COD

country_name: Congo, Dem. Rep.