Population of Urban Agglomerations with 300,000 Inhabitants or more in 2014, by city, 1950-2030 (thousands). Data for 1,692 cities contained in the Excel file.

Note: Each country has its own definition of what is 'urban' and therefore use exercise caution when comparing cities in different countries.

Data available from the United Nations, Department of Economic and Social Affairs, Population Division (2014). World Urbanization Prospects: The 2014 Revision, CD-ROM Edition.

Further detail of population estimates, land area, and population density for world urban areas with over 500,000 people (924 areas) is available with Demographia's World Urban Areas report (2014). Much of this data is based on the UN urban agglomerations, though a range of other sources are also used.

Data is derived from country census complied by the United Nations, Department of Economic and Social Affairs, Population Division. The suggested citation of the original report is: United Nations, Department of Economic and Social Affairs, Population Division (2014). World Urbanization Prospects: The 2014 Revision, CD-ROM Edition. Further information at https://esa.un.org/unpd/wup/CD-ROM/Default.aspx

Countries from Natural Earth 50M scale data with a Human Development Index attribute for each of the following years: 1980, 1985, 1990, 1995, 2000, 2005, 2010, 2013, 2015, & 2017. The Human Development Index measures achievement in 3 areas of human development: long life, good education and income. Specifically, the index is computed using life expectancy at birth, Mean years of schooling, expected years of schooling, and gross national income (GNI) per capita (PPP $). The United Nations categorizes the HDI values into 4 groups. In 2013 these groups were defined by the following HDI values: Very High: 0.736 and higher High: 0.615 to 0.735 Medium: 0.494 to 0.614 Low: 0.493 and lower

In 2015 & 2017 these groups were defined by the following HDI values: Very High: 0.800 and higher High: 0.700 to 0.799 Medium: 0.550 to 0.699 Low: 0.549 and lower

Human Development Index attributes are from The World Bank: HDRO calculations based on data from UNDESA (2013a), Barro and Lee (2013), UNESCO Institute for Statistics (2013), UN Statistics Division(2014), World Bank (2014) and IMF (2014). 2015 & 2017 values source: HDRO calculations based on data from UNDESA (2017a), UNESCO Institute for Statistics (2018), United Nations Statistics Division (2018b), World Bank (2018b), Barro and Lee (2016) and IMF (2018).

Population data are from (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database.

Estimated population density per grid-cell. The dataset is available to download in Geotiff and ASCII XYZ format at a resolution of 30 arc (approximately 1km at the equator). The projection is Geographic Coordinate System, WGS84. The units are number of people per square kilometre based on country totals adjusted to match the corresponding official United Nations population estimates that have been prepared by the Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat (2019 Revision of World Population Prospects). The mapping approach is Random Forest-based dasymetric redistribution.

Estimated total number of people per grid-cell. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are number of people per pixel with country totals adjusted to match the corresponding official United Nations population estimates that have been prepared by the Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat (2019 Revision of World Population Prospects). The mapping approach is Random Forest-based dasymetric redistribution.

Population Growth Rate by country for 2014. This is a filtered layer based the "Population Growth Rate by country, 1960-2010 time-series" layer. Country shapes from Natural Earth 50M scale data. Population Growth Rate attribute from the World Bank using the following data sources: (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database.

Dominican Republic DO: Urban Population: % of Total Population data was reported at 80.647 % in 2017. This records an increase from the previous number of 79.841 % for 2016. Dominican Republic DO: Urban Population: % of Total Population data is updated yearly, averaging 54.819 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 80.647 % in 2017 and a record low of 30.229 % in 1960. Dominican Republic DO: Urban Population: % of Total Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Dominican Republic – Table DO.World Bank: Population and Urbanization Statistics. Urban population refers to people living in urban areas as defined by national statistical offices. The data are collected and smoothed by United Nations Population Division.; ; United Nations Population Division. World Urbanization Prospects: 2014 Revision.; Weighted average;

This dataset was developed by KTH-dESA and describes settlement patterns relating to electrification in Madagascar. Using the Open Source Spatial Electrification Tool three attributes have been assigned to the settlements retrieved from the Madagascar High Resolution Settlement Layer developed by Facebook Connectivity Lab and CIESIN [1]. The three attributes are as follows: Urban or rural status. The urban cutoff level, i.e. the minimum population density per square kilometer, has been calculated so that the urban population matches the official statistics of 35 % in 2015 [2]. The urban cutoff level was calculated to be 683 people/km2, meaning that all settlements above this value are considered urban. The number of households in the settlements by 2030. Based on the urban or rural status the future population for the settlements have been estimated by applying a population growth rate to match future population projections according to [3] and [4]. The number of households 2030 have then been calculated using the epected urban and rural household sizes by 2030 of 3.7 and 4.4 people per household respectively [5]. Modeled household electrification status in 2015 (1 if the household in the cell are considered electrified by the national grid, 2 if electrified by mini-grids and 0 if non-electrified). The algorithm in OnSSET determines which household are likely to be electrified in 2015 to match the current electrification rate of 15% [6], based on meeting certain conditions for night-time light (NTL), population density and distance to the grid and roads. For Madagascar the settlements were calculated to be electrified by the national grid (RI Antananarico, RI Toamasina and RI Fianarantsoa) if they a) where within 5 km from the grid and had a minimum population density of 2287 people/km2 or minimum NTL of 60 or b) within 10 km from the grid and had a minimum population density of 10000 people/km2 or by mini-grids if they c) had a population density above 3882 people/km2 and minimum NTL of 5 or maximum 20 kilometers to major roads. [1] Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University (2016). High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe https://energydata.info/dataset/madagascar-high-resolution-settlement-layer-2015 [2] United Nations - Economic Commission for Africa. The Demographic Profile of African Countries. (2016). [3] United Nations, Department of Economic and Social Affairs, Population Division. World Urbanization Prospects: The 2014 Revision. (2014). [4] Unicef - division of data, research and policy. Generation 2030 | Africa. (2014). [5] Mentis, D. et al. Lighting the World: the first application of an open source, spatial electrification tool (OnSSET) on Sub-Saharan Africa. Environmental Research Letters. Vol. 12, nr 8. (2017). [6] USAID. Power Africa in Madagascar | Power Africa | U.S. Agency for International Development. Available at: https://www.usaid.gov/powerafrica/madagascar. (2017).

Japan JP: Urban Population: % of Total Population data was reported at 94.316 % in 2017. This records an increase from the previous number of 93.928 % for 2016. Japan JP: Urban Population: % of Total Population data is updated yearly, averaging 77.150 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 94.316 % in 2017 and a record low of 63.272 % in 1960. Japan JP: Urban Population: % of Total Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank: Population and Urbanization Statistics. Urban population refers to people living in urban areas as defined by national statistical offices. The data are collected and smoothed by United Nations Population Division.; ; United Nations Population Division. World Urbanization Prospects: 2014 Revision.; Weighted average;

Trinidad and Tobago TT: Urban Population: % of Total Population data was reported at 8.270 % in 2017. This records a decrease from the previous number of 8.352 % for 2016. Trinidad and Tobago TT: Urban Population: % of Total Population data is updated yearly, averaging 10.168 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 17.349 % in 1960 and a record low of 8.270 % in 2017. Trinidad and Tobago TT: Urban Population: % of Total Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Trinidad and Tobago – Table TT.World Bank: Population and Urbanization Statistics. Urban population refers to people living in urban areas as defined by national statistical offices. The data are collected and smoothed by United Nations Population Division.; ; United Nations Population Division. World Urbanization Prospects: 2014 Revision.; Weighted average;

San Marino Urban Population: % of Total Population data was reported at 94.244 % in 2017. This records an increase from the previous number of 94.216 % for 2016. San Marino Urban Population: % of Total Population data is updated yearly, averaging 90.400 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 94.244 % in 2017 and a record low of 48.900 % in 1960. San Marino Urban Population: % of Total Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s San Marino – Table SM.World Bank: Population and Urbanization Statistics. Urban population refers to people living in urban areas as defined by national statistical offices. The data are collected and smoothed by United Nations Population Division.; ; United Nations Population Division. World Urbanization Prospects: 2014 Revision.; Weighted average;

This map shows electricity access in Africa. The data source is from the International Energy Agency’s World Energy Outlook. The International Energy Agency’s World Energy Outlook first constructed a database on electrification rates for WEO-2002. The database once again was updated for WEO-2015, showing detailed data on national, urban and rural electrification.

The general paucity of data on electricity access means that it must be gathered through a combination of sources, including: IEA energy statistics; a network of contacts spanning governments, multilateral development banks and country-level representatives of various international organisations; and, other publicly available statistics, such as US Agency for International Development (USAID) supported DHS survey data, the World Bank’s Living Standards Measurement Surveys (LSMS), the UN Economic Commission for Latin America and the Caribbean’s (ECLAC) statistical publications, and data from national statistics agencies. In the small number of cases where no data could be provided through these channels other sources were used. If electricity access data for 2013 was not available, data for the latest available year was used.

For many countries, data on the urban and rural breakdown was collected, but if not available an estimate was made on the basis of pre-existing data or a comparison to the average correlation between urban and national electrification rates. Often only the percentage of households with a connection is known and assumptions about an average household size are used to determine access rates as a percentage of the population. To estimate the number of people without access, population data comes from OECD statistics in conjunction with the United Nations Population Division reports World Urbanization Prospects: the 2014 Revision Population Database, and World Population Prospects: the 2012 Revision. Electricity access data is adjusted to be consistent with demographic patterns of urban and rural population. Due to differences in definitions and methodology from different sources, data quality may vary from country to country. Where country data appeared contradictory, outdated or unreliable, the IEA Secretariat made estimates based on cross-country comparisons and earlier surveys.

This map shows electricity access in Asia and the Pacific. The data source is from the International Energy Agency’s World Energy Outlook. The International Energy Agency’s World Energy Outlook first constructed a database on electrification rates for WEO-2002. The database once again was updated for WEO-2015, showing detailed data on national, urban and rural electrification.

The general paucity of data on electricity access means that it must be gathered through a combination of sources, including: IEA energy statistics; a network of contacts spanning governments, multilateral development banks and country-level representatives of various international organisations; and, other publicly available statistics, such as US Agency for International Development (USAID) supported DHS survey data, the World Bank’s Living Standards Measurement Surveys (LSMS), the UN Economic Commission for Latin America and the Caribbean’s (ECLAC) statistical publications, and data from national statistics agencies. In the small number of cases where no data could be provided through these channels other sources were used. If electricity access data for 2013 was not available, data for the latest available year was used.

For many countries, data on the urban and rural breakdown was collected, but if not available an estimate was made on the basis of pre-existing data or a comparison to the average correlation between urban and national electrification rates. Often only the percentage of households with a connection is known and assumptions about an average household size are used to determine access rates as a percentage of the population. To estimate the number of people without access, population data comes from OECD statistics in conjunction with the United Nations Population Division reports World Urbanization Prospects: the 2014 Revision Population Database, and World Population Prospects: the 2012 Revision. Electricity access data is adjusted to be consistent with demographic patterns of urban and rural population. Due to differences in definitions and methodology from different sources, data quality may vary from country to country. Where country data appeared contradictory, outdated or unreliable, the IEA Secretariat made estimates based on cross-country comparisons and earlier surveys.

Saudi Arabia SA: Urban Population: % of Total Population data was reported at 83.530 % in 2017. This records an increase from the previous number of 83.331 % for 2016. Saudi Arabia SA: Urban Population: % of Total Population data is updated yearly, averaging 75.599 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 83.530 % in 2017 and a record low of 31.250 % in 1960. Saudi Arabia SA: Urban Population: % of Total Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Saudi Arabia – Table SA.World Bank: Population and Urbanization Statistics. Urban population refers to people living in urban areas as defined by national statistical offices. The data are collected and smoothed by United Nations Population Division.; ; United Nations Population Division. World Urbanization Prospects: 2014 Revision.; Weighted average;

Data on atheist populations and gender ratios calculated from United Nations Statistics Division “Population by religion, sex and urban/rural residence” data (http://data.un.org, access date 21/03/2014).

Spain ES: Urban Population: % of Total Population data was reported at 80.024 % in 2017. This records an increase from the previous number of 79.802 % for 2016. Spain ES: Urban Population: % of Total Population data is updated yearly, averaging 75.013 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 80.024 % in 2017 and a record low of 56.567 % in 1960. Spain ES: Urban Population: % of Total Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Spain – Table ES.World Bank: Population and Urbanization Statistics. Urban population refers to people living in urban areas as defined by national statistical offices. The data are collected and smoothed by United Nations Population Division.; ; United Nations Population Division. World Urbanization Prospects: 2014 Revision.; Weighted average;

Human Development Index by country for 2013. This is a filtered layer based on the "Human Development Index by country, 1980-2010 time-series" layer.The Human Development Index measures achievement in 3 areas of human development: long life, good education and income. Specifically, the index is computed using life expectancy at birth, Mean years of schooling, expected years of schooling, and gross national income (GNI) per capita (PPP $).The United Nations categorizes the HDI values into 4 groups. In 2013 these groups were defined by the following HDI values:

Very High Human Development: 0.736 and higher High Human Development: 0.615 to 0.735 Medium Human Development: 0.494 to 0.614 Low Human Development: 0.493 and lower

Country shapes from Natural Earth 50M scale data. Human Development Index attributes are from The World Bank: HDRO calculations based on data from UNDESA (2013a), Barro and Lee (2013), UNESCO Institute for Statistics (2013), UN Statistics Division (2014), World Bank (2014) and IMF (2014).

Ecuador EC: Urban Population: % of Total Population data was reported at 64.216 % in 2017. This records an increase from the previous number of 63.976 % for 2016. Ecuador EC: Urban Population: % of Total Population data is updated yearly, averaging 53.932 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 64.216 % in 2017 and a record low of 33.878 % in 1960. Ecuador EC: Urban Population: % of Total Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ecuador – Table EC.World Bank: Population and Urbanization Statistics. Urban population refers to people living in urban areas as defined by national statistical offices. The data are collected and smoothed by United Nations Population Division.; ; United Nations Population Division. World Urbanization Prospects: 2014 Revision.; Weighted average;

Sao Tome and Principe ST: Urban Population: % of Total Population data was reported at 66.174 % in 2017. This records an increase from the previous number of 65.647 % for 2016. Sao Tome and Principe ST: Urban Population: % of Total Population data is updated yearly, averaging 41.947 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 66.174 % in 2017 and a record low of 16.073 % in 1960. Sao Tome and Principe ST: Urban Population: % of Total Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sao Tome and Principe – Table ST.World Bank: Population and Urbanization Statistics. Urban population refers to people living in urban areas as defined by national statistical offices. The data are collected and smoothed by United Nations Population Division.; ; United Nations Population Division. World Urbanization Prospects: 2014 Revision.; Weighted average;

Ireland IE: Urban Population: % of Total Population data was reported at 63.834 % in 2017. This records an increase from the previous number of 63.535 % for 2016. Ireland IE: Urban Population: % of Total Population data is updated yearly, averaging 56.726 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 63.834 % in 2017 and a record low of 45.822 % in 1960. Ireland IE: Urban Population: % of Total Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ireland – Table IE.World Bank: Population and Urbanization Statistics. Urban population refers to people living in urban areas as defined by national statistical offices. The data are collected and smoothed by United Nations Population Division.; ; United Nations Population Division. World Urbanization Prospects: 2014 Revision.; Weighted average;