As of 2024, an estimated 68 percent of all individuals worldwide were using the internet. The internet penetration rate in worldwide urban areas was around 83 percent, and 48 percent in rural areas. The lowest penetration rate was registered in rural areas of the Least Developed Countries (LDCs), 25 percent. Urban Small Island Developing Countries, on the other hand, reported an internet usage rate of 81 percent.
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).
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 three 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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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. A curated version of this data is available through ICPSR at https://www.icpsr.umich.edu/web/ICPSR/studies/38606/versions/V1
The statistic displays the number of elderly people living in rural and urban areas in India between 1961 and 2011. In 2011, over 30 million people with the age of 60 years or above were living in urban areas in India. A large number of elderly population are living in rural areas.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
<ul style='margin-top:20px;'>
<li>South Asia rural population for 2022 was <strong>1,239,792,401</strong>, a <strong>0.2% increase</strong> from 2021.</li>
<li>South Asia rural population for 2021 was <strong>1,237,335,386</strong>, a <strong>0.3% increase</strong> from 2020.</li>
<li>South Asia rural population for 2020 was <strong>1,233,679,892</strong>, a <strong>0.44% increase</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.
In 2023, there were almost 62,000 urban clinics and midwifery clinics operating in South Korea, while about 7,500 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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Ireland IE: Rural Population data was reported at 1,740,889.000 Person in 2017. This records an increase from the previous number of 1,734,033.000 Person for 2016. Ireland IE: Rural Population data is updated yearly, averaging 1,528,070.000 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 1,742,990.000 Person in 2009 and a record low of 1,427,701.000 Person in 1970. Ireland IE: Rural 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. 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.; ; World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2014 Revision.; Sum;
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
<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.
Macao, Singapore, and Hong Kong all had completely urban populations in 2023, with *********** percent of the respective territory's populations living in urban areas. Contrastingly, just around **** percent of Papua New Guinea’s population were living in urban areas in 2023. APAC’s rural population Despite the increasing development of new industries across the Asia-Pacific region, many countries across the region still had predominantly rural populations. However, with the agriculture sector displaying little growth throughout the Asia Pacific region, the rural populations throughout the region have also experienced little growth or have even declined. This was likely due to citizens migrating from rural to urban areas. Growing urbanization With the emergence of new economies and an increasing focus on industrialization throughout the Asia Pacific region, citizens have flocked to the cities and urban areas in hopes of better employment and salary opportunities. The migration of citizens has naturally resulted in bigger urban populations and has catalyzed the emergence of megacities throughout the Asia-Pacific region. Urbanization is expected to grow throughout the coming years, with urban populations in the ASEAN region forecasted to grow by 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
<ul style='margin-top:20px;'>
<li> rural population for was <strong>0.00</strong>, a <strong>0% increase</strong> from .</li>
<li> rural population for was <strong>0.00</strong>, a <strong>0% increase</strong> from .</li>
<li> rural population for was <strong>0.00</strong>, a <strong>0% increase</strong> from .</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.
https://academictorrents.com/nolicensespecifiedhttps://academictorrents.com/nolicensespecified
The file "Census-Rural-Urban NTIA-Mashup.tab" is a listing of all US Census blocks with urban/rural designation, combined with data from the National Telecommunications and Information Administration s National Broadband Map project.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Topicality: 01-01-2023Projection: New Zealand Transverse Mercator (NZTM)This layer contains the latest set of the functional urban areas as maintained by StatsNZ and defined by StatsNZ.The functional urban area (FUA) classification identifies small urban areas and rural areas that are integrated with major, large, and medium urban areas to create FUAs. The FUA classification uses the urban rural (UR) geography to demarcate urban areas, and statistical area 1 areas(SA1s) to demarcate surrounding hinterland (the commuting zone) within FUAs, and rural and water areas outside FUAs.This layer get updated yearly with the latest boundary data. You can use this layer when you need any year of boundary data in your map. By setting a filter on the dataset year you can filter on specific year of the dataset.For information about the fields in this dataset go to the Data tabFUA type (TFUA)FUAs are further categorised by population size. The urban core’s population rather than the entire FUA’s population is used to maintain consistency between the descriptions of UR urban area and FUA type. The categories are, by code: 1. Metropolitan area – more than 100,000 residents living in the urban core2. Large regional centre – urban core population 30,000–99,9993. Medium regional centre – urban core population 10,000–29,9994. Small regional centre – urban core population 5,000–9,9999. Area outside functional urban areaThe Greymouth urban area population is less than 10,000 but is classified as a medium regional centre, consistent with its treatment as a medium urban area in the UA classification. To differentiate from the UR classification, when referring to FUAs by name, their FUA type should also be mentioned, for example, Christchurch metropolitan area, Whangarei regional centre. FUA indicator (IFUA)The IFUA classifies UR2023 urban areas and rural SA1s according to their character within their FUA. The indicators, with their codes in brackets, are: urban area within functional urban area – urban core (101), secondary urban core (102), satellite urban area (103),rural area within functional urban area – hinterland (201)area outside functional urban area – land area outside functional urban area (901), water area outside functional urban area (902).About the layerThis layer get updated yearly with the latest boundary data.A layer with the full archive of the data for all the available years is available here.For information about the fields in this dataset go to the Data tab.The layer is further generalised by Eagle Technology for improved performance on the web, therefore it doesn't fully represent the official boundaries.The official dataset can be found on https://datafinder.stats.govt.nz.This layer is offered by Eagle Technology (Official Esri Distributor). Eagle Technology offers services that can be used in the ArcGIS platform. The Content team at Eagle Technology updates the layers on a regular basis and regularly adds new content to the Living Atlas. By using this content and combining it with other data you can create new information products quickly and easily.If you have any questions or comments about the content, please let us now at livingatlas@eagle.co.nz
Urbanization and urban lifestyles increasingly disconnect people from nature in a process that was termed the ‘extinction of experience’. This loss of human-nature interactions can undermine both cognitive (ecological knowledge) and affective (emotional connection to nature) relations to nature, further impacting capabilities to experience, care for, benefit from and act to protect nature. Yet, the extent to which the urban life influences both cognitive and affective relations to nature, remains poorly understood and research is confined to a few countries and cultures.
We explored how cognitive and affective relations to nature can be related to people’s childhood and current place of residency. We expected that urban dwellers, who have less opportunities to experience nature than their rural counterparts, will be less connected to nature and demonstrate lower ecological knowledge than their rural counterparts.
We conducted four surveys in Israel, in urban and rural setting...
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Belgium BE: Rural Population Growth data was reported at -1.055 % in 2023. This records an increase from the previous number of -1.122 % for 2022. Belgium BE: Rural Population Growth data is updated yearly, averaging -1.790 % from Dec 1961 (Median) to 2023, with 63 observations. The data reached an all-time high of -0.720 % in 2011 and a record low of -3.817 % in 1980. Belgium BE: Rural Population Growth data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Belgium – Table BE.World Bank.WDI: Population and Urbanization Statistics. 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.;World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.;Weighted average;
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about countries in Africa. It has 54 rows. It features 3 columns: urban population living in areas where elevation is below 5 meters , and rural population.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Laos LA: Rural Population data was reported at 4,501,148.000 Person in 2017. This records an increase from the previous number of 4,478,355.000 Person for 2016. Laos LA: Rural Population data is updated yearly, averaging 3,470,124.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 4,501,148.000 Person in 2017 and a record low of 1,952,370.000 Person in 1960. Laos LA: Rural Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Laos – Table LA.World Bank.WDI: Population and Urbanization Statistics. 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.; ; World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.; Sum;
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Rural population (% of total population) in Zambia was reported at 53.66 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Zambia - Rural population - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.
https://datafinder.stats.govt.nz/license/attribution-4-0-international/https://datafinder.stats.govt.nz/license/attribution-4-0-international/
The functional urban area (FUA) classification identifies small urban areas and rural areas that are integrated with major, large, and medium urban areas to create FUAs. This dataset is clipped to the coastline. This clipped version has been created for map creation/cartographic purposes and so does not fully represent the official full extent boundaries.
Workplace address and usual residence address data from the 2018 Census of Population and Dwellings were used to identify satellite urban areas (1,000–4,999 residents), and rural statistical area 1s (SA1s) from which at least 40 percent of workers commuted to urban areas with more than 5,000 residents.
An FUA includes Urban rural (UR) 2018 urban areas, rural settlements and rural SA1s where there is: an urban core, one or more secondary urban cores, one or more satellite urban areas, and rural hinterland (rural settlements or rural SA1s).
The FUA indicator (IFUA) classifies UR2018 urban areas and rural SA1s according to their character within their FUA, e.g., urban core, satellite urban area. The information from the Stats NZ classification can be accessed using the classification tool Ariā.
The 53 FUAs are classified by population size. The urban core’s population rather than the entire FUA’s population is used to maintain consistency between the descriptions of UR2018 urban area and FUA type (TFUA).
FUAs that have more than 100,000 residents living in their urban core are known as metropolitan areas, while smaller FUAs are divided into large (core population 30,000–99,999), medium (core population 10,000–29,999), and small regional centres (core population 5,000–9,999).
Names are provided with and without tohutō/macrons. The name field without macrons is suffixed ‘ascii’.
For more detail, and classifications, please refer to Ariā.
Digital boundary data became freely available on 1 July 2007.
As of 2024, an estimated 68 percent of all individuals worldwide were using the internet. The internet penetration rate in worldwide urban areas was around 83 percent, and 48 percent in rural areas. The lowest penetration rate was registered in rural areas of the Least Developed Countries (LDCs), 25 percent. Urban Small Island Developing Countries, on the other hand, reported an internet usage rate of 81 percent.