The rural-urban commuting area codes (RUCA) classify U.S. census tracts using measures of urbanization, population density, and daily commuting from the decennial census. The most recent RUCA codes are based on data from the 2000 decennial census. The classification contains two levels. Whole numbers (1-10) delineate metropolitan, micropolitan, small town, and rural commuting areas based on the size and direction of the primary (largest) commuting flows. These 10 codes are further subdivided to permit stricter or looser delimitation of commuting areas, based on secondary (second largest) commuting flows. The approach errs in the direction of more codes, providing flexibility in combining levels to meet varying definitional needs and preferences. The 1990 codes are similarly defined. However, the Census Bureau's methods of defining urban cores and clusters changed between the two censuses. And, census tracts changed in number and shapes. The 2000 rural-urban commuting codes are not directly comparable with the 1990 codes because of these differences. An update of the Rural-Urban Commuting Area Codes is planned for late 2013.

In 2023, the urban population of the Republic of Ireland was approximately 3.4 million, while the rural population was around 1.88 million. Although the urban population of Ireland is currently bigger than the rural population, this was not the case in 1960 when there were approximately 272,450 more people living in rural areas than urban ones.

The Global Rural-Urban Mapping Project, Version 1 (GRUMPv1): Urban Extents Grid distinguishes urban and rural areas based on a combination of population counts (persons), settlement points, and the presence of Nighttime Lights. Areas are defined as urban where contiguous lighted cells from the Nighttime Lights or approximated urban extents based on buffered settlement points for which the total population is greater than 5,000 persons. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the International Food Policy Research Institute (IFPRI), The World Bank, and Centro Internacional de Agricultura Tropical (CIAT).

While Spain’s population has increased slightly since the year 2000, the share of the rural and urban populations has remained relatively constant, with Spain being a highly urban country. This consistently high urbanization is a consequence of both economic and social factors. The Spanish wealth is generated in the cities to a large extent Two thirds of Spain’s economic output, as divided across economic sectors, comes from the service sector, with only ***** percent originating from agriculture. Naturally, service-based economies are easiest when people live closely, while agricultural practices need more land, and thus a rural population. Of course, this also brings economic costs, such as the high living and housing costs in Madrid. What draws people into cities? Social factors also drive people to cities. For some, it is being closer to family or culture, such as art museums. For others, it is finding a large city with green spaces, like Madrid. For others, it is the opportunity to watch a game in a world-class soccer stadium, perhaps FC Barcelona. These and other factors continue to keep Spaniards in their cities.

This dataset contains measures of the urban/rural characteristics of each census tract in the United States. These include proportions of urban and rural population, population density, rural/urban commuting area (RUCA) codes, and RUCA-based four- and seven-category urbanicity scales.

This dataset is the definitive set of annually released urban rural boundaries for 2022 as defined by Stats NZ. This version contains 722 urban rural features.

The urban rural geography was introduced as part of the Statistical Standard for Geographic Areas 2018 (SSGA18) which replaced the New Zealand Standard Areas Classification (NZSAC92). The urban rural geography replaces the (NZSAC92) urban area geography.

Urban rural is an output geography that classifies New Zealand into areas that share common urban or rural characteristics and is used to disseminate a broad range of Stats NZ’s social, demographic, and economic statistics.

The urban rural indicator complements the urban rural geography and is an attribute in this dataset. Further information on the urban rural indicator is available on the Stats NZ classification and coding tool ARIA.

Names are provided with and without tohutō/macrons. The name field without macrons is suffixed ‘ascii’.

This generalised version has been simplified for rapid drawing and is designed for thematic or web mapping purposes.

Digital boundary data became freely available on 1 July 2007.

The Global Rural-Urban Mapping Project, Version 1 (GRUMPv1): National Identifier Grid is derived from the land area grid to create a raster surface where pixels (cells) that cover the same nation or territory have the same value. The countries and territories are not official representations of country boundaries; rather they represent the area covered by the statistical data as provided. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the International Food Policy Research Institute (IFPRI), The World Bank, and Centro Internacional de Agricultura Tropical (CIAT).

As of 2024, an estimated ** percent of all individuals worldwide were using the internet. The internet penetration rate in worldwide urban areas was around ** percent, and ** percent in rural areas. The lowest penetration rate was registered in rural areas of the Least Developed Countries (LDCs), ** percent. Urban Small Island Developing Countries, on the other hand, reported an internet usage rate of ** percent.

(File Size - 5 KB). The 2011 rural-urban classification (RUC) of counties in England is based on the 2011 RUC of Output Areas (OA) published in August 2013, and allows users to create a rural/urban view of county level products. The classification was produced by the University of Sheffield and was sponsored by a cross-Government working group comprising Department for Environment, Food and Rural Affairs, Department of the Communities and Local Government and Office for National Statistics.

This dataset is the definitive set of urban rural boundaries at 1 January 2018 as defined by Stats NZ. Urban rural is a new output geography that classifies New Zealand into areas that share common urban or rural characteristics. Urban areas are built from the Statistical Area 2 geography, while rural and water areas are built from the Statistical Area 1 geography. Urban areas are statistically defined areas with no administrative or legal basis. The urban rural indicator is an attribute of this classification and provides additional information about a location's urban or rural nature.

Digital boundary data became freely available on 1 July 2007. This generalised version has been simplified for rapid drawing and is designed for thematic or web mapping purposes.

For further information see ANZLIC Metadata 2018 Urban Rural or ANZLIC Metadata 2018 Urban Rural Indicator attachments below.

The Global Rural-Urban Mapping Project, Version 1 (GRUMPv1): National Administrative Boundaries are derived from the land area grid to show the outlines of pixels (cells) that contain administrative Units in GRUMPv1 on a per-country/territory basis. They are derived from the pixels as polygons and thus have rectilinear boundaries at a large scale. The polygons that outline the countries and territories are not official representations; rather they represent the area covered by the statistical data as provided. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the International Food Policy Research Institute (IFPRI), The World Bank, and Centro Internacional de Agricultura Tropical (CIAT).

The Census Bureau’s urban-rural classification is fundamentally a delineation of geographical areas, identifying both individual urban areas and the rural areas of the nation. The Census Bureau’s urban areas represent densely developed territory, and encompass residential, commercial, and other non-residential urban land uses. To qualify as an urban area, the territory identified according to criteria must have at least 5,000 people or 2,000 housing units. The 2020 Census changed how urban areas are determined from the 2010 criteria. The population requirement was increased to 5,000 people from 2,500 in 2010. This value is now determined by housing unit density instead of population density. Urban areas can now also be defined by the number of housing units present. Finally, the 2020 Census does not distinguish different types of urban areas. Areas are simply urban or rural.This layer was originally downloaded from the US Census Bureau website and clipped to the Stark County boundary. For more information on urban and rural classification and criteria, visit Redefining Urban Areas following the 2020 Census.

In 2023, there were **** physicians and **** registered nurses serving every 1,000 inhabitants in Chinese urban areas, while the density of healthcare personnel was significantly lower in the countryside. Although China has more than a million healthcare facilities nationwide, structural inequalities between health services in urban and rural areas remain a long-term challenge.

Georgia rural population for 2023 was 1,459,182, a 1% decline from 2022.

<ul style='margin-top:20px;'>

<li>Georgia rural population for 2022 was <strong>1,473,975</strong>, a <strong>0.96% decline</strong> from 2021.</li>
<li>Georgia rural population for 2021 was <strong>1,488,191</strong>, a <strong>1.41% decline</strong> from 2020.</li>
<li>Georgia rural population for 2020 was <strong>1,509,450</strong>, a <strong>0.94% decline</strong> from 2019.</li>
</ul>Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population. Aggregation of urban and rural population may not add up to total population because of different country coverages.

The Global Rural-Urban Mapping Project, Version 1 (GRUMPv1): Population Count Grid estimates human population for the years 1990, 1995, and 2000 by 30 arc-second (1 km) grid cells and associated data sets dated circa 2000. A proportional allocation gridding algorithm, utilizing more than 1,000,000 national and sub-national geographic Units, is used to assign population values (counts, in persons) to grid cells. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the International Food Policy Research Institute (IFPRI), The World Bank, and Centro Internacional de Agricultura Tropical (CIAT).

This shapefile has been developed to support the NRC Ukraine teams in spatial analysis related to humanitarian operations. It provides geographic boundaries and relevant attributes for key areas of interest in relation to urban and rural classifications, facilitating assessments, planning, and reporting. This tool is intended for general application and categorization of areas; however, errors may be present due to various factors.

In 2023, there were almost ****** urban clinics and midwifery clinics operating in South Korea, while about ***** were operating in rural regions. New clinics of both types have opened up since 2017, though fewer new rural clinics have been established compared to urban areas.

North America urban population for 2023 was 311,866,936, a 1% increase from 2022.

<ul style='margin-top:20px;'>

<li>North America urban population for 2022 was <strong>308,793,425</strong>, a <strong>0.76% increase</strong> from 2021.</li>
<li>North America urban population for 2021 was <strong>306,467,593</strong>, a <strong>0.44% increase</strong> from 2020.</li>
<li>North America urban population for 2020 was <strong>305,134,724</strong>, a <strong>1.22% increase</strong> from 2019.</li>
</ul>Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects. Aggregation of urban and rural population may not add up to total population because of different country coverages.

Mali urban population for 2023 was 10,978,722, a 4.72% increase from 2022.

<ul style='margin-top:20px;'>

<li>Mali urban population for 2022 was <strong>10,483,515</strong>, a <strong>4.81% increase</strong> from 2021.</li>
<li>Mali urban population for 2021 was <strong>10,002,568</strong>, a <strong>4.91% increase</strong> from 2020.</li>
<li>Mali urban population for 2020 was <strong>9,534,328</strong>, a <strong>4.91% increase</strong> from 2019.</li>
</ul>Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects. Aggregation of urban and rural population may not add up to total population because of different country coverages.