Rwanda RW: GDP: Growth:(GDP) Gross Domestic Productper Capita data was reported at 3.572 % in 2017. This records an increase from the previous number of 3.421 % for 2016. Rwanda RW: GDP: Growth:(GDP) Gross Domestic Productper Capita data is updated yearly, averaging 3.381 % from Dec 1961 (Median) to 2017, with 57 observations. The data reached an all-time high of 36.981 % in 1995 and a record low of -47.806 % in 1994. Rwanda RW: GDP: Growth:(GDP) Gross Domestic Productper Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Rwanda – Table RW.World Bank: Gross Domestic Product: Annual Growth Rate. Annual percentage growth rate of GDP per capita based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. GDP per capita is gross domestic product divided by midyear population. GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average;

Rwanda RW: GDP: Growth: Household Final Consumption Expenditure per Capita data was reported at -0.725 % in 2017. This records an increase from the previous number of -2.882 % for 2016. Rwanda RW: GDP: Growth: Household Final Consumption Expenditure per Capita data is updated yearly, averaging 3.811 % from Dec 1961 (Median) to 2017, with 57 observations. The data reached an all-time high of 15.301 % in 2015 and a record low of -20.371 % in 1964. Rwanda RW: GDP: Growth: Household Final Consumption Expenditure per Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Rwanda – Table RW.World Bank.WDI: Gross Domestic Product: Annual Growth Rate. Annual percentage growth of household final consumption expenditure per capita, which is calculated using household final consumption expenditure in constant 2010 prices and World Bank population estimates. Household final consumption expenditure (private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. Here, household consumption expenditure includes the expenditures of nonprofit institutions serving households, even when reported separately by the country.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted average;

Goal 11Make cities and human settlements inclusive, safe, resilient and sustainableTarget 11.1: By 2030, ensure access for all to adequate, safe and affordable housing and basic services and upgrade slumsIndicator 11.1.1: Proportion of urban population living in slums, informal settlements or inadequate housingEN_LND_SLUM: Proportion of urban population living in slums (%)Target 11.2: By 2030, provide access to safe, affordable, accessible and sustainable transport systems for all, improving road safety, notably by expanding public transport, with special attention to the needs of those in vulnerable situations, women, children, persons with disabilities and older personsIndicator 11.2.1: Proportion of population that has convenient access to public transport, by sex, age and persons with disabilitiesTarget 11.3: By 2030, enhance inclusive and sustainable urbanization and capacity for participatory, integrated and sustainable human settlement planning and management in all countriesIndicator 11.3.1: Ratio of land consumption rate to population growth rateIndicator 11.3.2: Proportion of cities with a direct participation structure of civil society in urban planning and management that operate regularly and democraticallyTarget 11.4: Strengthen efforts to protect and safeguard the world’s cultural and natural heritageIndicator 11.4.1: Total per capita expenditure on the preservation, protection and conservation of all cultural and natural heritage, by source of funding (public, private), type of heritage (cultural, natural) and level of government (national, regional, and local/municipal)Target 11.5: By 2030, significantly reduce the number of deaths and the number of people affected and substantially decrease the direct economic losses relative to global gross domestic product caused by disasters, including water-related disasters, with a focus on protecting the poor and people in vulnerable situationsIndicator 11.5.1: Number of deaths, missing persons and directly affected persons attributed to disasters per 100,000 populationVC_DSR_MISS: Number of missing persons due to disaster (number)VC_DSR_AFFCT: Number of people affected by disaster (number)VC_DSR_MORT: Number of deaths due to disaster (number)VC_DSR_MTMP: Number of deaths and missing persons attributed to disasters per 100,000 population (number)VC_DSR_MMHN: Number of deaths and missing persons attributed to disasters (number)VC_DSR_DAFF: Number of directly affected persons attributed to disasters per 100,000 population (number)VC_DSR_IJILN: Number of injured or ill people attributed to disasters (number)VC_DSR_PDAN: Number of people whose damaged dwellings were attributed to disasters (number)VC_DSR_PDYN: Number of people whose destroyed dwellings were attributed to disasters (number)VC_DSR_PDLN: Number of people whose livelihoods were disrupted or destroyed, attributed to disasters (number)Indicator 11.5.2: Direct economic loss in relation to global GDP, damage to critical infrastructure and number of disruptions to basic services, attributed to disastersVC_DSR_GDPLS: Direct economic loss attributed to disasters (current United States dollars)VC_DSR_LSGP: Direct economic loss attributed to disasters relative to GDP (%)VC_DSR_AGLH: Direct agriculture loss attributed to disasters (current United States dollars)VC_DSR_HOLH: Direct economic loss in the housing sector attributed to disasters (current United States dollars)VC_DSR_CILN: Direct economic loss resulting from damaged or destroyed critical infrastructure attributed to disasters (current United States dollars)VC_DSR_CHLN: Direct economic loss to cultural heritage damaged or destroyed attributed to disasters (millions of current United States dollars)VC_DSR_CDAN: Number of damaged critical infrastructure attributed to disasters (number)VC_DSR_HFDN: Number of destroyed or damaged health facilities attributed to disasters (number)VC_DSR_EFDN: Number of destroyed or damaged educational facilities attributed to disasters (number)VC_DSR_CDYN: Number of other destroyed or damaged critical infrastructure units and facilities attributed to disasters (number)VC_DSR_BSDN: Number of disruptions to basic services attributed to disasters (number)VC_DSR_ESDN: Number of disruptions to educational services attributed to disasters (number)VC_DSR_HSDN: Number of disruptions to health services attributed to disasters (number)VC_DSR_OBDN: Number of disruptions to other basic services attributed to disasters (number)VC_DSR_DDPA: Direct economic loss to other damaged or destroyed productive assets attributed to disasters (current United States dollars)Target 11.6: By 2030, reduce the adverse per capita environmental impact of cities, including by paying special attention to air quality and municipal and other waste managementIndicator 11.6.1: Proportion of municipal solid waste collected and managed in controlled facilities out of total municipal waste generated, by citiesEN_REF_WASCOL: Municipal Solid Waste collection coverage, by cities (%)Indicator 11.6.2: Annual mean levels of fine particulate matter (e.g. PM2.5 and PM10) in cities (population weighted)EN_ATM_PM25: Annual mean levels of fine particulate matter in cities, urban population (micrograms per cubic meter)Target 11.7: By 2030, provide universal access to safe, inclusive and accessible, green and public spaces, in particular for women and children, older persons and persons with disabilitiesIndicator 11.7.1: Average share of the built-up area of cities that is open space for public use for all, by sex, age and persons with disabilitiesIndicator 11.7.2: Proportion of persons victim of physical or sexual harassment, by sex, age, disability status and place of occurrence, in the previous 12 monthsTarget 11.a: Support positive economic, social and environmental links between urban, peri-urban and rural areas by strengthening national and regional development planningIndicator 11.a.1: Number of countries that have national urban policies or regional development plans that (a) respond to population dynamics; (b) ensure balanced territorial development; and (c) increase local fiscal spaceSD_CPA_UPRDP: Countries that have national urban policies or regional development plans that respond to population dynamics; ensure balanced territorial development; and increase local fiscal space (1 = YES; 0 = NO)Target 11.b: By 2020, substantially increase the number of cities and human settlements adopting and implementing integrated policies and plans towards inclusion, resource efficiency, mitigation and adaptation to climate change, resilience to disasters, and develop and implement, in line with the Sendai Framework for Disaster Risk Reduction 2015–2030, holistic disaster risk management at all levelsIndicator 11.b.1: Number of countries that adopt and implement national disaster risk reduction strategies in line with the Sendai Framework for Disaster Risk Reduction 2015–2030SG_DSR_LGRGSR: Score of adoption and implementation of national DRR strategies in line with the Sendai FrameworkSG_DSR_SFDRR: Number of countries that reported having a National DRR Strategy which is aligned to the Sendai FrameworkIndicator 11.b.2: Proportion of local governments that adopt and implement local disaster risk reduction strategies in line with national disaster risk reduction strategiesSG_DSR_SILS: Proportion of local governments that adopt and implement local disaster risk reduction strategies in line with national disaster risk reduction strategies (%)SG_DSR_SILN: Number of local governments that adopt and implement local DRR strategies in line with national strategies (number)SG_GOV_LOGV: Number of local governments (number)Target 11.c: Support least developed countries, including through financial and technical assistance, in building sustainable and resilient buildings utilizing local materials

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

The world economy needs ever-increasing amounts of energy to sustain economic growth, raise living standards, and reduce poverty. But today's trends in energy use are not sustainable. As the world's population grows and economies become more industrialized, nonrenewable energy sources will become scarcer and more costly. Data here on energy production, use, dependency, and efficiency are compiled by the World Bank from the International Energy Agency and the Carbon Dioxide Information Analysis Center.

Rwanda RW: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider: Poorest 40%: % of Population Aged 15+ data was reported at 38.652 % in 2017. This records an increase from the previous number of 17.087 % for 2014. Rwanda RW: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider: Poorest 40%: % of Population Aged 15+ data is updated yearly, averaging 31.140 % from Dec 2011 (Median) to 2017, with 3 observations. The data reached an all-time high of 38.652 % in 2017 and a record low of 17.087 % in 2014. Rwanda RW: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider: Poorest 40%: % of Population Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Rwanda – Table RW.World Bank: Bank Account Ownership. Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (poorest 40%, share of population ages 15+).; ; Demirguc-Kunt et al., 2018, Global Financial Inclusion Database, World Bank.; Weighted Average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

Rwanda GDP per Person Employed: 2021 PPP data was reported at 9,502.826 Intl $ in 2023. This records an increase from the previous number of 9,108.722 Intl $ for 2022. Rwanda GDP per Person Employed: 2021 PPP data is updated yearly, averaging 4,905.007 Intl $ from Dec 1991 (Median) to 2023, with 33 observations. The data reached an all-time high of 9,502.826 Intl $ in 2023 and a record low of 2,132.139 Intl $ in 1994. Rwanda GDP per Person Employed: 2021 PPP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Rwanda – Table RW.World Bank.WDI: Employment and Unemployment. GDP per person employed is gross domestic product (GDP) divided by total employment in the economy. Purchasing power parity (PPP) GDP is GDP converted to 2021 constant international dollars using PPP rates. An international dollar has the same purchasing power over GDP that a U.S. dollar has in the United States.;World Bank, World Development Indicators database. Estimates are based on employment, population, GDP, and PPP data obtained from International Labour Organization, United Nations Population Division, Eurostat, OECD, and World Bank.;Weighted average;

Rwanda RW:(GDP) Gross Domestic Productper Person Employed: 2017 PPP data was reported at 7,522.314 Intl $ in 2022. This records an increase from the previous number of 7,479.731 Intl $ for 2021. Rwanda RW:(GDP) Gross Domestic Productper Person Employed: 2017 PPP data is updated yearly, averaging 3,958.141 Intl $ from Dec 1991 (Median) to 2022, with 32 observations. The data reached an all-time high of 7,522.314 Intl $ in 2022 and a record low of 1,759.783 Intl $ in 1994. Rwanda RW:(GDP) Gross Domestic Productper Person Employed: 2017 PPP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Rwanda – Table RW.World Bank.WDI: Employment and Unemployment. GDP per person employed is gross domestic product (GDP) divided by total employment in the economy. Purchasing power parity (PPP) GDP is GDP converted to 2017 constant international dollars using PPP rates. An international dollar has the same purchasing power over GDP that a U.S. dollar has in the United States.;World Bank, World Development Indicators database. Estimates are based on employment, population, GDP, and PPP data obtained from International Labour Organization, United Nations Population Division, Eurostat, OECD, and World Bank.;Weighted average;