Congo, Rep.

iso2Code: CG

value: Sub-Saharan Africa (excluding high income)

value: Lower middle income

capitalCity: Brazzaville

country_code: COG

country_name: Congo, Rep.


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

value: WDI Database Archives

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

value: Energy & Mining

value: Environment

Colombia

iso2Code: CO

iso2code: ZJ

value: Latin America & Caribbean

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

iso2code: XT

value: Upper middle income

iso2code: XF

value: IBRD

capitalCity: Bogota

country_code: COL

country_name: Colombia

value: CC BY-4.0

value: Weighted average

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.

schema: wb


Comoros

iso2Code: KM

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

iso2code: XN

iso2code: XI

value: IDA

capitalCity: Moroni

country_code: COM

country_name: Comoros

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

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


value: WDI Database Archives

Cabo Verde

iso2Code: CV

value: Sub-Saharan Africa (excluding high income)

value: Lower middle income

iso2code: XH

value: Blend

capitalCity: Praia

country_code: CPV

country_name: Cabo Verde


value: Energy & Mining

value: Environment

Costa Rica

iso2Code: CR

value: Latin America & Caribbean

value: Latin America & Caribbean (excluding high income)

capitalCity: San Jose

country_code: CRI

country_name: Costa Rica


South Asia (IFC classification)

value: Aggregates

country_code: CSA

country_name: South Asia (IFC classification)

value: CC BY-4.0

value: Weighted average


country_code: CSK

country_name: Czechoslovakia

value: Annual

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

value: Environment: Energy production & use


country_code: CSS

country_name: Caribbean small states

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.


Cuba

iso2Code: CU

value: Upper middle income

iso2code: XX

value: Not classified

capitalCity: Havana

country_code: CUB

country_name: Cuba

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


value: WDI Database Archives

Curacao

iso2Code: CW

iso2code: XD

value: High income

capitalCity: Willemstad

country_code: CUW

country_name: Curacao

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


value: Energy & Mining

Cayman Islands

iso2Code: KY

capitalCity: George Town

country_code: CYM

country_name: Cayman Islands


value: Environment

Cyprus

iso2Code: CY

value: Europe & Central Asia

capitalCity: Nicosia

country_code: CYP

country_name: Cyprus


Czechia

iso2Code: CZ

capitalCity: Prague

country_code: CZE

country_name: Czech Republic


Germany

iso2Code: DE

capitalCity: Berlin

country_code: DEU

country_name: Germany


Djibouti

iso2Code: DJ

iso2code: ZQ

value: Middle East & North Africa

iso2code: XQ

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

value: Lower middle income

value: IDA

capitalCity: Djibouti

country_code: DJI

country_name: Djibouti


Dominica

iso2Code: DM

iso2code: ZJ

value: Latin America & Caribbean

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

iso2code: XT

value: Blend

capitalCity: Roseau

country_code: DMA

country_name: Dominica

value: CC BY-4.0

value: Weighted average

value: Annual


Denmark

iso2Code: DK

value: Not classified

capitalCity: Copenhagen

country_code: DNK

country_name: Denmark

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

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: WDI Database Archives

value: Energy & Mining

value: Environment

Dominican Republic

iso2Code: DO

value: Upper middle income

iso2code: XF

value: IBRD

capitalCity: Santo Domingo

country_code: DOM

country_name: Dominican Republic

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


Algeria

iso2Code: DZ

value: Middle East & North Africa

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

iso2code: XN

value: Lower middle income

capitalCity: Algiers

country_code: DZA

country_name: Algeria


name: East Asia & Pacific (excluding high income)

value: Aggregates

country_code: EAP

value: CC BY-4.0


country_code: EAR

country_name: Early-demographic dividend

value: Weighted average

value: Annual


country_code: EAS

country_name: East Asia & Pacific

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


name: Europe & Central Asia (excluding high income)

country_code: ECA

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


country_code: ECS

country_name: Europe & Central Asia

value: Environment: Energy production & use


Ecuador

iso2Code: EC

value: Latin America & Caribbean

value: Latin America & Caribbean (excluding high income)

capitalCity: Quito

country_code: ECU

country_name: Ecuador

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

value: Environment

country_code: EEC

country_name: European Community


country_code: EER

country_name: EASTERN EUROPE

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


Egypt, Arab Rep.

iso2Code: EG

value: Middle East & North Africa

value: IBRD

capitalCity: Cairo

country_code: EGY

country_name: Egypt, Arab Rep.


Euro area

iso2Code: XC

country_code: EMU

country_name: Euro area


Eritrea

iso2Code: ER

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

iso2code: XM

value: Low income

iso2code: XI

value: IDA

capitalCity: Asmara

country_code: ERI

country_name: Eritrea


Spain

iso2Code: ES

value: Europe & Central Asia

iso2code: XD

value: High income

iso2code: XX

value: Not classified

capitalCity: Madrid

country_code: ESP

country_name: Spain

value: CC BY-4.0

value: Weighted average

value: Annual


Estonia

iso2Code: EE

capitalCity: Tallinn

country_code: EST

country_name: Estonia

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

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: WDI Database Archives

value: Energy & Mining

value: Environment

Ethiopia

iso2Code: ET

capitalCity: Addis Ababa

country_code: ETH

country_name: Ethiopia

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


European Union

iso2Code: EU

value: Aggregates

country_code: EUU

country_name: European Union


name: Fragile and conflict affected situations

country_code: FCS


Finland

iso2Code: FI

capitalCity: Helsinki

country_code: FIN

country_name: Finland


Fiji

iso2Code: FJ

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

iso2code: XT

value: Upper middle income

iso2code: XH

value: Blend

capitalCity: Suva

country_code: FJI

country_name: Fiji


France

iso2Code: FR

value: Europe & Central Asia

value: High income

value: Not classified

capitalCity: Paris

country_code: FRA

country_name: France


Faroe Islands

iso2Code: FO

capitalCity: Torshavn

country_code: FRO

country_name: Faroe Islands

value: CC BY-4.0

value: Weighted average

value: Annual


Micronesia, Fed. Sts.

iso2Code: FM

iso2code: XN

value: Lower middle income

value: IDA

capitalCity: Palikir

country_code: FSM

country_name: Micronesia, Fed. Sts.

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

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

value: Environment: Energy production & use


value: WDI Database Archives

value: Energy & Mining

value: Environment

Gabon

iso2Code: GA

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

iso2code: XF

value: IBRD

capitalCity: Libreville

country_code: GAB

country_name: Gabon

value: 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)


United Kingdom

iso2Code: GB

value: Europe & Central Asia

iso2code: XD

value: High income

value: Not classified

capitalCity: London

country_code: GBR

country_name: United Kingdom


Georgia

iso2Code: GE

value: Europe & Central Asia (excluding high income)

value: Upper middle income

capitalCity: Tbilisi

country_code: GEO

country_name: Georgia

value: CC BY-4.0

value: Weighted average

value: Annual


Ghana

iso2Code: GH

value: Lower middle income

iso2code: XI

value: IDA

capitalCity: Accra

country_code: GHA

country_name: Ghana

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

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

value: Environment: Energy production & use


value: WDI Database Archives

value: Energy & Mining

value: Environment

Gibraltar

iso2Code: GI

iso2code: XX

country_code: GIB

country_name: Gibraltar


Guinea

iso2Code: GN

value: Sub-Saharan Africa

value: Sub-Saharan Africa (excluding high income)

capitalCity: Conakry

country_code: GIN

country_name: Guinea

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)


country_code: GLP

country_name: Guadeloupe


Gambia, The

iso2Code: GM

iso2code: XM

value: Low income

capitalCity: Banjul

country_code: GMB

country_name: Gambia, The


Guinea-Bissau

iso2Code: GW

capitalCity: Bissau

country_code: GNB

country_name: Guinea-Bissau


Equatorial Guinea

iso2Code: GQ

iso2code: XT

value: Upper middle income

value: IBRD

capitalCity: Malabo

country_code: GNQ

country_name: Equatorial Guinea


Greece

iso2Code: GR

value: Europe & Central Asia

value: High income

value: Not classified

capitalCity: Athens

country_code: GRC

country_name: Greece

value: CC BY-4.0

value: Weighted average


Grenada

iso2Code: GD

iso2code: ZJ

value: Latin America & Caribbean

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

iso2code: XH

value: Blend

capitalCity: Saint George's

country_code: GRD

country_name: Grenada

value: Annual

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

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


value: WDI Database Archives

value: Energy & Mining

value: Environment

Greenland

iso2Code: GL

iso2code: XD

capitalCity: Nuuk

country_code: GRL

country_name: Greenland

value: Environment: Energy production & use


Guatemala

iso2Code: GT

value: Upper middle income

iso2code: XF

capitalCity: Guatemala City

country_code: GTM

country_name: Guatemala

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)


country_code: GUF

country_name: French Guiana


Guam

iso2Code: GU

value: East Asia & Pacific

value: High income

capitalCity: Agana

country_code: GUM

country_name: Guam


Guyana

iso2Code: GY

iso2code: XI

value: IDA

capitalCity: Georgetown

country_code: GUY

country_name: Guyana

value: CC BY-4.0


High income

value: Aggregates

country_code: HIC

country_name: High income

value: Weighted average


Hong Kong SAR, China

iso2Code: HK

iso2code: XX

value: Not classified

country_code: HKG

country_name: Hong Kong, China


Honduras

iso2Code: HN

value: Latin America & Caribbean

value: Latin America & Caribbean (excluding high income)

iso2code: XN

value: Lower middle income

capitalCity: Tegucigalpa

country_code: HND

country_name: Honduras

value: Annual


value: WDI Database Archives

value: Energy & Mining

Heavily indebted poor countries (HIPC)

iso2Code: XE

country_code: HPC

country_name: Heavily indebted poor countries (HIPC)

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

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


value: Environment

Croatia

iso2Code: HR

value: Europe & Central Asia

value: IBRD

capitalCity: Zagreb

country_code: HRV

country_name: Croatia

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.


Haiti

iso2Code: HT

value: IDA

capitalCity: Port-au-Prince

country_code: HTI

country_name: Haiti

value: CC BY-4.0

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


Hungary

iso2Code: HU

value: High income

value: Not classified

capitalCity: Budapest

country_code: HUN

country_name: Hungary

value: Weighted average


IBRD only

value: Aggregates

country_code: IBD

country_name: IBRD only


IDA & IBRD total

iso2Code: ZT

country_code: IBT

country_name: IDA & IBRD total

value: Annual


value: WDI Database Archives

IDA total

iso2Code: XG

country_code: IDA

country_name: IDA total


value: Energy & Mining

IDA blend

iso2Code: XH

country_code: IDB

country_name: IDA blend


Indonesia

iso2Code: ID

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

iso2code: XT

value: Upper middle income

capitalCity: Jakarta

country_code: IDN

country_name: Indonesia

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


value: Environment

country_code: IDX

country_name: IDA only

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


Isle of Man

iso2Code: IM

value: Europe & Central Asia

iso2code: XD

capitalCity: Douglas

country_code: IMN

country_name: Isle of Man

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.


country_code: IMY

value: CC BY-4.0

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


India

iso2Code: IN

value: South Asia

value: Lower middle income

iso2code: XF

value: IBRD

capitalCity: New Delhi

country_code: IND

country_name: India


Ireland

iso2Code: IE

value: High income

value: Not classified

capitalCity: Dublin

country_code: IRL

country_name: Ireland

value: Weighted average

value: Annual


value: WDI Database Archives

value: Energy & Mining

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: Environment

Iraq

iso2Code: IQ

value: Upper middle income

capitalCity: Baghdad

country_code: IRQ

country_name: Iraq

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

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


country_code: ISD

country_name: Severely Indebted

value: CC BY-4.0

value: Environment: Energy production & use

value: Data for access to Non-Solid Fuel are collected among different sources: only data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


Iceland

iso2Code: IS

value: Europe & Central Asia

iso2code: XX

capitalCity: Reykjavik

country_code: ISL

country_name: Iceland

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


Israel

iso2Code: IL

value: High income

country_code: ISR

country_name: Israel


Italy

iso2Code: IT

value: Not classified

capitalCity: Rome

country_code: ITA

country_name: Italy


Jamaica

iso2Code: JM

iso2code: ZJ

value: Latin America & Caribbean

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

value: IBRD

capitalCity: Kingston

country_code: JAM

country_name: Jamaica

value: Weighted average


value: WDI Database Archives

value: Energy & Mining

Jordan

iso2Code: JO

value: Middle East & North Africa

iso2code: XN

value: Lower middle income

capitalCity: Amman

country_code: JOR

country_name: Jordan

value: Annual


value: Environment

Japan

iso2Code: JP

value: East Asia & Pacific

iso2code: XD

capitalCity: Tokyo

country_code: JPN

country_name: Japan

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

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


Kazakhstan

iso2Code: KZ

value: Europe & Central Asia

value: Europe & Central Asia (excluding high income)

iso2code: XT

value: Upper middle income

iso2code: XF

capitalCity: Astana

country_code: KAZ

country_name: Kazakhstan

value: CC BY-4.0

value: 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.


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


value: WDI Database Archives

value: Energy & Mining

Kyrgyz Republic

iso2Code: KG

iso2code: XI

value: IDA

capitalCity: Bishkek

country_code: KGZ

country_name: Kyrgyz Republic

value: Weighted average


value: Environment

Cambodia

iso2Code: KH

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

value: Lower middle income

capitalCity: Phnom Penh

country_code: KHM

country_name: Cambodia

value: Annual


Kiribati

iso2Code: KI

capitalCity: Tarawa

country_code: KIR

country_name: Kiribati

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

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


St. Kitts and Nevis

iso2Code: KN

iso2code: ZJ

value: Latin America & Caribbean

value: High income

value: IBRD

capitalCity: Basseterre

country_code: KNA

country_name: St. Kitts and Nevis

value: CC BY-4.0

value: Environment: Energy production & use


Korea, Rep.

iso2Code: KR

iso2code: XX

value: Not classified

capitalCity: Seoul

country_code: KOR

country_name: Korea, Rep.

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

country_code: KSV

country_name: Kosovo


value: Environment

Kuwait

iso2Code: KW

iso2code: ZQ

value: Middle East & North Africa

capitalCity: Kuwait City

country_code: KWT

country_name: Kuwait

value: Weighted average


iso2Code: XJ

name: Latin America & Caribbean (excluding high income)

value: Aggregates

country_code: LAC


Lao PDR

iso2Code: LA

value: East Asia & Pacific

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: Annual


Lebanon

iso2Code: LB

iso2code: XQ

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

iso2code: XF

value: IBRD

capitalCity: Beirut

country_code: LBN

country_name: Lebanon

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

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


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: CC BY-4.0

value: Environment: Energy production & use

value: Data for access to Non-Solid Fuel are collected among different sources: only data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


value: WDI Database Archives

value: Energy & Mining

value: Environment

Libya

iso2Code: LY

value: Middle East & North Africa

iso2code: XT

value: Upper middle income

capitalCity: Tripoli

country_code: LBY

country_name: Libya

value: Weighted average

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


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: Annual


Latin America & Caribbean

value: Aggregates

country_code: LCN

country_name: Latin America & Caribbean

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

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


iso2Code: XL

name: Least developed countries: UN classification

country_code: LDC

value: CC BY-4.0


country_code: LIC

country_name: Low income

value: Environment: Energy production & use


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

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

value: Environment

country_code: LIO

country_name: Other low-income


country_code: LIX

country_name: Low income, excluding China and India

value: Weighted average

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


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: Annual


Low & middle income

iso2Code: XO

country_code: LMY

country_name: Low & middle income

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

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


country_code: LSA

country_name: Low-income Africa

value: CC BY-4.0

value: Environment: Energy production & use


Lesotho

iso2Code: LS

value: Sub-Saharan Africa

value: Sub-Saharan Africa (excluding high income)

capitalCity: Maseru

country_code: LSO

country_name: Lesotho


country_code: LTE

country_name: Late-demographic dividend

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

Lithuania

iso2Code: LT

value: Europe & Central Asia

value: High income

value: Not classified

capitalCity: Vilnius

country_code: LTU

country_name: Lithuania


value: Energy & Mining

value: Environment

Luxembourg

iso2Code: LU

capitalCity: Luxembourg

country_code: LUX

country_name: Luxembourg

value: Weighted average

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


Latvia

iso2Code: LV

capitalCity: Riga

country_code: LVA

country_name: Latvia


Macao SAR, China

iso2Code: MO

value: East Asia & Pacific

country_code: MAC

country_name: Macao SAR, China


St. Martin (French part)

iso2Code: MF

value: Latin America & Caribbean

capitalCity: Marigot

country_code: MAF

country_name: St. Martin (French part)

value: Annual


Morocco

iso2Code: MA

iso2code: ZQ

value: Middle East & North Africa

iso2code: XQ

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

value: Lower middle income

iso2code: XF

value: IBRD

capitalCity: Rabat

country_code: MAR

country_name: Morocco

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

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


value: WDI Database Archives

Monaco

iso2Code: MC

capitalCity: Monaco

country_code: MCO

country_name: Monaco

value: CC BY-4.0

value: Environment: Energy production & use

value: Data for access to Non-Solid Fuel are collected among different sources: only data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


value: Energy & Mining

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: Environment

Middle East (developing only)

value: Aggregates

country_code: MDE

country_name: Middle East (developing only)

value: Weighted average

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


Madagascar

iso2Code: MG

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

iso2code: XM

value: Low income

value: IDA

capitalCity: Antananarivo

country_code: MDG

country_name: Madagascar

value: Annual


value: WDI Database Archives

Maldives

iso2Code: MV

value: South Asia

iso2code: XI

capitalCity: Male

country_code: MDV

country_name: Maldives

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

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


value: Energy & Mining

country_code: MEA

country_name: Middle East & North Africa

value: CC BY-4.0

value: Environment: Energy production & use

value: Data for access to Non-Solid Fuel are collected among different sources: only data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


value: Environment

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


value: WDI Database Archives

Middle income

iso2Code: XP

value: Aggregates

country_code: MIC

country_name: Middle income

value: Annual


North Macedonia

iso2Code: MK

value: Europe & Central Asia

value: Europe & Central Asia (excluding high income)

capitalCity: Skopje

country_code: MKD

country_name: North Macedonia

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

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


value: Energy & Mining

Mali

iso2Code: ML

value: Sub-Saharan Africa

value: Sub-Saharan Africa (excluding high income)

value: Low income

value: IDA

capitalCity: Bamako

country_code: MLI

country_name: Mali

value: CC BY-4.0

value: 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: Environment

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: WDI Database Archives

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: Annual

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


value: Energy & Mining

iso2Code: XQ

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

value: Aggregates

country_code: MNA

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

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


Montenegro

iso2Code: ME

value: Europe & Central Asia

value: Europe & Central Asia (excluding high income)

iso2code: XT

value: Upper middle income

iso2code: XF

value: IBRD

capitalCity: Podgorica

country_code: MNE

country_name: Montenegro

value: CC BY-4.0

value: Environment: Energy production & use


value: Environment

Mongolia

iso2Code: MN

capitalCity: Ulaanbaatar

country_code: MNG

country_name: Mongolia

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

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: Energy & Mining

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: Annual

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


Mauritania

iso2Code: MR

value: Lower middle income

capitalCity: Nouakchott

country_code: MRT

country_name: Mauritania

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

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


value: Environment

country_code: MTQ

country_name: Martinique

value: CC BY-4.0

value: Environment: Energy production & use


value: WDI Database Archives

Mauritius

iso2Code: MU

value: Upper middle income

value: IBRD

capitalCity: Port Louis

country_code: MUS

country_name: Mauritius

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

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: Annual


North America

iso2Code: XU

value: Aggregates

country_code: NAC

country_name: North America

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


Namibia

value: Sub-Saharan Africa (excluding high income)

capitalCity: Windhoek

country_code: NAM

country_name: Namibia

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


value: Environment

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


value: WDI Database Archives

Niger

iso2Code: NE

value: Low income

value: IDA

capitalCity: Niamey

country_code: NER

country_name: Niger

value: CC BY-4.0

value: Environment: Energy production & use


value: Energy & Mining

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: 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.


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: Annual

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


value: Environment

Netherlands

iso2Code: NL

value: Europe & Central Asia

value: High income

value: Not classified

capitalCity: Amsterdam

country_code: NLD

country_name: Netherlands

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


value: WDI Database Archives

country_code: NOC

country_name: High income: nonOECD

value: CC BY-4.0

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


value: Energy & Mining

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: 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: Environment

New Zealand

iso2Code: NZ

capitalCity: Wellington

country_code: NZL

country_name: New Zealand

value: Annual

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


country_code: OEC

country_name: High income: OECD


OECD members

iso2Code: OE

value: Aggregates

country_code: OED

country_name: OECD members


Oman

iso2Code: OM

iso2code: ZQ

value: Middle East & North Africa

iso2code: XD

value: High income

value: Not classified

capitalCity: Muscat

country_code: OMN

country_name: Oman

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


value: WDI Database Archives

value: Energy & Mining

country_code: OSS

country_name: Other small states

value: CC BY-4.0

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


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: 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: Environment

Peru

iso2Code: PE

value: Latin America & Caribbean (excluding high income)

iso2code: XT

value: Upper middle income

capitalCity: Lima

country_code: PER

country_name: Peru

value: Annual

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


value: WDI Database Archives

Philippines

iso2Code: PH

value: East Asia & Pacific

value: East Asia & Pacific (excluding high income)

iso2code: XN

capitalCity: Manila

country_code: PHL

country_name: Philippines

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


value: Energy & Mining

Palau

iso2Code: PW

capitalCity: Koror

country_code: PLW

country_name: Palau

value: CC BY-4.0

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


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: Environment

Pre-demographic dividend

value: Aggregates

country_code: PRE

country_name: Pre-demographic dividend

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

Puerto Rico

iso2Code: PR

iso2code: ZJ

value: Latin America & Caribbean

iso2code: XX

value: Not classified

capitalCity: San Juan

country_code: PRI

country_name: Puerto Rico

value: Annual

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


value: Energy & Mining

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

value: Environment: Energy production & use


value: Environment

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: WDI Database Archives

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: 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

Pacific island small states

value: Aggregates

country_code: PSS

country_name: Pacific island small states

value: CC BY-4.0

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


country_code: PST

country_name: Post-demographic dividend

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

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


value: Environment

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: WDI Database Archives

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: 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

South Asia

value: Aggregates

country_code: SAS

country_name: South Asia

value: CC BY-4.0

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

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

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


value: WDI Database Archives

value: Environment

Saudi Arabia

iso2Code: SA

value: Middle East & North Africa

value: High income

iso2code: XX

value: Not classified

capitalCity: Riyadh

country_code: SAU

country_name: Saudi Arabia

value: 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: 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

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


value: WDI Database Archives

value: Environment

Solomon Islands

iso2Code: SB

value: East Asia & Pacific (excluding high income)

capitalCity: Honiara

country_code: SLB

country_name: Solomon Islands

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

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


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: Annual


value: Energy & Mining

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: 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

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

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

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


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: Annual


value: Energy & Mining

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: 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: Environment

Slovenia

iso2Code: SI

capitalCity: Ljubljana

country_code: SVN

country_name: Slovenia

value: Weighted average

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

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

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


value: Energy & Mining

Sweden

iso2Code: SE

capitalCity: Stockholm

country_code: SWE

country_name: Sweden

value: Annual

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: Environment

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

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

value: Data for access to Non-Solid Fuel are collected among different sources: only data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


value: Energy & Mining

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: Annual

value: Environment: Energy production & use

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


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: Environment

Tajikistan

iso2Code: TJ

value: Europe & Central Asia

value: Europe & Central Asia (excluding high income)

iso2code: XN

value: Lower middle income

value: IDA

capitalCity: Dushanbe

country_code: TJK

country_name: Tajikistan

value: CC BY-4.0

value: Weighted average


value: Energy & Mining

Turkmenistan

iso2Code: TM

iso2code: XF

capitalCity: Ashgabat

country_code: TKM

country_name: Turkmenistan

value: Annual

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

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

value: Data for access to Non-Solid Fuel are collected among different sources: only data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


value: WDI Database Archives

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

value: Aggregates

country_code: TLA

value: Environment: Energy production & use

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


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: Environment

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

country_code: TMN


country_code: TMP


Tonga

iso2Code: TO

value: Upper middle income

capitalCity: Nuku'alofa

country_code: TON

country_name: Tonga


country_code: TSA

country_name: South Asia (IDA & IBRD)


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

country_code: TSS


Trinidad and Tobago

iso2Code: TT

iso2code: ZJ

value: Latin America & Caribbean

iso2code: XD

value: High income

value: IBRD

capitalCity: Port-of-Spain

country_code: TTO

country_name: Trinidad and Tobago


value: Energy & Mining

Tunisia

iso2Code: TN

iso2code: ZQ

value: Middle East & North Africa

iso2code: XQ

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

value: Lower middle income

capitalCity: Tunis

country_code: TUN

country_name: Tunisia

value: CC BY-4.0

value: Weighted average


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: Annual

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

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

value: Data for access to Non-Solid Fuel are collected among different sources: only data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). To develop the historical evolution of Non-Solid Fuel Use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive solid fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.


value: Environment

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


value: Energy & Mining

country_code: TWN

country_name: Taiwan, China


Tanzania

iso2Code: TZ

iso2code: ZG

value: Sub-Saharan Africa

iso2code: ZF

value: Sub-Saharan Africa (excluding high income)

value: Lower middle income

capitalCity: Dodoma

country_code: TZA

country_name: Tanzania

value: CC BY-4.0


value: WDI Database Archives

Uganda

iso2Code: UG

iso2code: XM

value: Low income

capitalCity: Kampala

country_code: UGA

country_name: Uganda

value: Weighted average


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: Annual

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

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


value: Environment

Upper middle income

iso2Code: XT

value: Aggregates

country_code: UMC

country_name: Upper middle income

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

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


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: CC BY-4.0


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: Weighted average


value: Environment

St. Vincent and the Grenadines

iso2Code: VC

iso2code: XJ

value: Latin America & Caribbean (excluding high income)

value: Upper middle income

capitalCity: Kingstown

country_code: VCT

country_name: St. Vincent and the Grenadines

value: Annual

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

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


value: Energy & Mining

Venezuela, RB

iso2Code: VE

value: Latin America & Caribbean

iso2code: XY

value: IBRD

capitalCity: Caracas

country_code: VEN

country_name: Venezuela, RB

value: 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

British Virgin Islands

iso2Code: VG

value: High income

value: Not classified

capitalCity: Road Town

country_code: VGB

country_name: British Virgin Islands

value: CC BY-4.0

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


Virgin Islands (U.S.)

iso2Code: VI

capitalCity: Charlotte Amalie

country_code: VIR

country_name: Virgin Islands (U.S.)

value: Weighted average


value: Environment

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: Annual

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


value: Energy & Mining

country_code: WBG

country_name: West Bank and Gaza

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


World

value: Aggregates

country_code: WLD

country_name: World

value: Environment: Energy production & use


value: WDI Database Archives

Samoa

iso2Code: WS

capitalCity: Apia

country_code: WSM

country_name: Samoa

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.


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: CC BY-4.0

value: Weighted average

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


value: Environment

country_code: YMD

country_name: Yemen, PDR

value: Annual


value: Energy & Mining

country_code: YUG

country_name: Serbia and Montenegro

value: Access to non-solid fuel is the percentage of 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: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.


value: WDI Database Archives

country_code: ZAR

country_name: Congo, Dem. Rep.

value: 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.


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: Alternative and nuclear energy (% of total energy use)

value: World Development Indicators

sourceNone: Clean energy is noncarbohydrate energy that does not produce carbon dioxide when generated. It includes hydropower and nuclear, geothermal, and solar power, among others.

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: Restricted use: Please contact the International Energy Agency for third-party use of these data.

value: Use and distribution of these data are subject to IEA terms and conditions.

value: The IEA makes these estimates in consultation with national statistical offices, oil companies, electric utilities, and national energy experts. The IEA occasionally revises its time series to reflect political changes, and energy statistics undergo continual changes in coverage or methodology as more detailed energy accounts become available. Breaks in series are therefore unavoidable.

value: IEA Statistics © OECD/IEA 2014 (https://www.iea.org/data-and-statistics), subject to https://www.iea.org/terms/

value:
Alternative energy is produced without the undesirable consequences of the burning of fossil fuels, such as high carbon dioxide emissions, which is considered to be the major contributing factor of global warming.

Past few decade have seen a rise in global investment in renewable energy, led by wind and solar. In transport, major car companies are adding hybrid and full-electric vehicles to their product lines and many governments have launched plans to encourage consumers to buy these vehicles Fossil fuels continue to outpace alternative and renewable energy growth. Coal has been the fastest-growing global energy source, meeting about one-half of new electricity demand.

Total energy use refers to the use of primary energy before transformation to other end-use fuels (such as electricity and refined petroleum products). It includes energy from combustible renewables and waste - solid biomass and animal products, gas and liquid from biomass, and industrial and municipal waste. Biomass is any plant matter used directly as fuel or converted into fuel, heat, or electricity.

Governments in many countries are increasingly aware of the urgent need to make better use of the world's energy resources. Improved energy efficiency is often the most economic and readily available means of improving energy security and reducing greenhouse gas emissions.

value: Energy data are compiled by the International Energy Agency (IEA). IEA data for economies that are not members of the Organisation for Economic Co-operation and Development (OECD) are based on national energy data adjusted to conform to annual questionnaires completed by OECD member governments.


value: Energy & Mining

Africa Eastern and Southern

iso2Code: ZH

value: Aggregates

country_code: AFE

country_name: Africa Eastern and Southern

value: Weighted average

value: Alternative and nuclear energy (% of total energy use)

value: Annual

value: Clean energy is noncarbohydrate energy that does not produce carbon dioxide when generated. It includes hydropower and nuclear, geothermal, and solar power, among others.


Afghanistan

iso2Code: AF

value: South Asia

value: Low income

iso2code: XI

value: IDA

capitalCity: Kabul

country_code: AFG

country_name: Afghanistan

value: Environment: Energy production & use


value: World Development Indicators

Africa Western and Central

iso2Code: ZI

country_code: AFW

country_name: Africa Western and Central


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: Restricted use: Please contact the International Energy Agency for third-party use of these data.


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: Use and distribution of these data are subject to IEA terms and conditions.

value: The IEA makes these estimates in consultation with national statistical offices, oil companies, electric utilities, and national energy experts. The IEA occasionally revises its time series to reflect political changes, and energy statistics undergo continual changes in coverage or methodology as more detailed energy accounts become available. Breaks in series are therefore unavoidable.

value: IEA Statistics © OECD/IEA 2014 (https://www.iea.org/data-and-statistics), subject to https://www.iea.org/terms/

value:
Alternative energy is produced without the undesirable consequences of the burning of fossil fuels, such as high carbon dioxide emissions, which is considered to be the major contributing factor of global warming.

Past few decade have seen a rise in global investment in renewable energy, led by wind and solar. In transport, major car companies are adding hybrid and full-electric vehicles to their product lines and many governments have launched plans to encourage consumers to buy these vehicles Fossil fuels continue to outpace alternative and renewable energy growth. Coal has been the fastest-growing global energy source, meeting about one-half of new electricity demand.

Total energy use refers to the use of primary energy before transformation to other end-use fuels (such as electricity and refined petroleum products). It includes energy from combustible renewables and waste - solid biomass and animal products, gas and liquid from biomass, and industrial and municipal waste. Biomass is any plant matter used directly as fuel or converted into fuel, heat, or electricity.

Governments in many countries are increasingly aware of the urgent need to make better use of the world's energy resources. Improved energy efficiency is often the most economic and readily available means of improving energy security and reducing greenhouse gas emissions.

value: Energy data are compiled by the International Energy Agency (IEA). IEA data for economies that are not members of the Organisation for Economic Co-operation and Development (OECD) are based on national energy data adjusted to conform to annual questionnaires completed by OECD member governments.