The urban–rural continuum classifies the global population, allocating rural populations around differently-sized cities. The classification is based on four dimensions: population distribution, population density, urban center location, and travel time to urban centers, all of which can be mapped globally and consistently and then aggregated as administrative unit statistics.Using spatial data, we matched all rural locations to their urban center of reference based on the time needed to reach these urban centers. A hierarchy of urban centers by population size (largest to smallest) is used to determine which center is the point of “reference” for a given rural location: proximity to a larger center “dominates” over a smaller one in the same travel time category. This was done for 7 urban categories and then aggregated, for presentation purposes, into “large cities” (over 1 million people), “intermediate cities” (250,000 –1 million), and “small cities and towns” (20,000–250,000).Finally, to reflect the diversity of population density across the urban–rural continuum, we distinguished between high-density rural areas with over 1,500 inhabitants per km2 and lower density areas. Unlike traditional functional area approaches, our approach does not define urban catchment areas by using thresholds, such as proportion of people commuting; instead, these emerge endogenously from our urban hierarchy and by calculating the shortest travel time.Urban-Rural Catchment Areas (URCA).tif is a raster dataset of the 30 urban–rural continuum categories for the urban–rural continuum showing the catchment areas around cities and towns of different sizes. Each rural pixel is assigned to one defined travel time category: less than one hour, one to two hours, and two to three hours travel time to one of seven urban agglomeration sizes. The agglomerations range from large cities with i) populations greater than 5 million and ii) between 1 to 5 million; intermediate cities with iii) 500,000 to 1 million and iv) 250,000 to 500,000 inhabitants; small cities with populations v) between 100,000 and 250,000 and vi) between 50,000 and 100,000; and vii) towns of between 20,000 and 50,000 people. The remaining pixels that are more than 3 hours away from any urban agglomeration of at least 20,000 people are considered as either hinterland or dispersed towns being that they are not gravitating around any urban agglomeration. The raster also allows for visualizing a simplified continuum created by grouping the seven urban agglomerations into 4 categories.Urban-Rural Catchment Areas (URCA).tif is in GeoTIFF format, band interleaved with LZW compression, suitable for use in Geographic Information Systems and statistical packages. The data type is byte, with pixel values ranging from 1 to 30. The no data value is 128. It has a spatial resolution of 30 arc seconds, which is approximately 1km at the equator. The spatial reference system (projection) is EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long). The geographic extent is 83.6N - 60S / 180E - 180W. The same tif file is also available as an ESRI ArcMap MapPackage Urban-Rural Catchment Areas.mpkFurther details are in the ReadMe_data_description.docx

Full edition for public use. In sociology, diversity is a concept, which emphasizes the differentiation and acknowledgement of group as well as individual characteristics. A generation is usually defined as sequences of birth cohorts. Each generation shares certain experiences, values and attitudes. Hence, intergenerational diversity can be characterized by socio-structural and cultural change as well as by changes in individual life events and historical backgrounds. Quality of life subsumes objective, subjective, individual and collective perspectives as well as material and non-material aspects, like for instance physical and emotional health, social interactions, environment and general living conditions. Diversity due to the spatial dimension is captured with a system of urban-rural typologies. Furthermore, the three classes of different population densities (sparsely, less densely and densely) are expanded by three generations (16-34, 35-64 and older than 65) to a 3x3 matrix to analyze intergenerational regional diversity. Specifically, the interviews focused on infrastructural aspects such as availability of medical care, personal contacts, social integration as well as general health and quality of life.

View the diversity of challenges and opportunities across America's counties within different types of rural regions and communities. Get statistics on people, jobs, and agriculture.

Full edition for public use. In sociology, diversity is a concept, which emphasizes the differentiation and acknowledgement of group as well as individual characteristics. A generation is usually defined as sequences of birth cohorts. Each generation shares certain experiences, values and attitudes. Hence, intergenerational diversity can be characterized by socio-structural and cultural change as well as by changes in individual life events and historical backgrounds. Quality of life subsumes objective, subjective, individual and collective perspectives as well as material and non-material aspects, like for instance physical and emotional health, social interactions, environment and general living conditions. Diversity due to the spatial dimension is captured with a system of urban-rural typologies. Furthermore, the three classes of different population densities (sparsely, less densely and densely) are expanded by three generations (16-34, 35-64 and older than 65) to a 3x3 matrix to analyze intergenerational regional diversity. Specifically, the interviews focused on infrastructural aspects such as availability of medical care, personal contacts, social integration as well as general health and quality of life.

In 2023, approximately ** percent of the population in Papua New Guinea were living in rural areas. In comparison, approximately ***** percent of the population in Japan were living in rural areas that year. Urbanization and development Despite the desirable outcomes that urbanization entails, these rapid demographic shifts have also brought about unintended changes. For instance, in countries like India, rapid urbanization has led to unsustainable and crowded cities, with **** of the urban population in India estimated to live in slums. In China, population shifts from rural to urban areas have aggravated regional economic disparities. For example, the migration of workers into coastal cities has made possible the creation of urban clusters of immense economic magnitude, with the Yangtze River Delta city cluster accounting for about a ******of the country’s gross domestic product. Megacities and their future Home to roughly 60 percent of the world’s population, the Asia-Pacific region also shelters most of the globe’s largest urban agglomerations. Megacities, a term used for cities or urban areas with a population of over ten million people, are characterized by high cultural diversity and advanced infrastructure. As a result, they create better economic opportunities, and they are often hubs of innovation. For instance, many megacities in the Asia-Pacific region offer high local purchasing power to their residents. Despite challenges like pollution, income inequality, or the rising cost of living, megacities in the Asia-Pacific region have relatively high population growth rates and are expected to expand.

Mexico MX: Rural Population data was reported at 26,004,442.000 Person in 2017. This records a decrease from the previous number of 26,047,581.000 Person for 2016. Mexico MX: Rural Population data is updated yearly, averaging 24,277,581.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 26,101,387.000 Person in 2013 and a record low of 18,799,605.000 Person in 1960. Mexico MX: Rural Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.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;

Full edition for public use. The theoretical guiding principles have been defined for this study in the following way. Quality of life is the sum of all aspects of living conditions of a certain generation. Diversity appears on the one hand between generations and on the other hand by the individual characteristics of the people with regard to their quality of life. Another form of diversity is formed by the spatial perspective; by adding the spatial perspective, in the form of urban-rural dimension, it is possible to highlight new aspects of intergenerational relations and quality of life. In summary, intergenerational diversity through socio-structural and cultural changes, as well as by the change in individual life events and contemporary historical backgrounds are characterized.

ObjectiveThe paper examines whether out-of-pocket health care expenditure also has regional discrepancies, comparing to the equity between urban and rural areas, and across households.MethodSampled data were derived from Urban Household Survey and Rural Household Survey data for 2011/2012 for Anhui Province, and 11049 households were included in this study. The study compared differences in out-of-pocket expenditure on health care between regions (urban vs. rural areas) and years (2011 vs. 2012) using two-sample t-test, and also investigated the degree of inequality using Lorenz and concentration curves.ResultApproximately 5% and 8% of total household consumption expenditure was spent on health care for urban and rural populations, respectively. In 2012, the wealthiest 20% of urban and rural population contributed 49.7% and 55.8% of urban and rural total health expenditure respectively, while the poorest 20% took only 4.7% and 4.4%. The concentration curve for out-of-pocket expenditure ...

United States US: Rural Population data was reported at 58,440,535.000 Person in 2017. This records a decrease from the previous number of 58,659,368.000 Person for 2016. United States US: Rural Population data is updated yearly, averaging 59,251,956.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 61,656,881.000 Person in 1990 and a record low of 54,047,876.000 Person in 1969. United States US: Rural Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.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;

In 2023, the ratio of urban to rural population varied greatly in different provinces of China. While Guangdong province had an urban population of around 95.8 million and a rural population of 31.2 million, Tibet had an urban population of only 1.4 million, but a rural population of around 2.2 million.

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.

Full edition for public use. The theoretical guiding principles have been defined for this study in the following way. Quality of life is the sum of all aspects of living conditions of a certain generation. Diversity appears on the one hand between generations and on the other hand by the individual characteristics of the people with regard to their quality of life. Another form of diversity is formed by the spatial perspective; by adding the spatial perspective, in the form of urban-rural dimension, it is possible to highlight new aspects of intergenerational relations and quality of life. In summary, intergenerational diversity through socio-structural and cultural changes, as well as by the change in individual life events and contemporary historical backgrounds are characterized.

Haiti rural population for 2023 was 4,694,992, a 0.89% decline from 2022.

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

<li>Haiti rural population for 2022 was <strong>4,737,185</strong>, a <strong>0.93% decline</strong> from 2021.</li>
<li>Haiti rural population for 2021 was <strong>4,781,421</strong>, a <strong>0.9% decline</strong> from 2020.</li>
<li>Haiti rural population for 2020 was <strong>4,824,960</strong>, a <strong>0.82% 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.

rural population for 2023 was 197,978,207, a 0.71% decline from 2022.

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

<li> rural population for 2022 was <strong>199,397,035</strong>, a <strong>1.61% decline</strong> from 2021.</li>
<li> rural population for 2021 was <strong>202,665,746</strong>, a <strong>1.11% decline</strong> from 2020.</li>
<li> rural population for 2020 was <strong>204,934,945</strong>, a <strong>0.65% 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.

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 share of people living in rural areas varies greatly between the different regions of the world . Whereas nearly ********** of the population in South Asia lived in rural areas in 2024, this proportion was only ***** percent in North America. The decrease was especially significant in East Asia & The Pacific, where the rate fell from ********** in 1990 to less than ********** in 2024.

1. With urbanization identified as being one of the key drivers of change in global land use, and the rapid expansion of urban areas worldwide, it is relevant to evaluate how novel ecological conditions in cities shape species functional traits, which are essential for how species interact with their environments and with each other. 2. Despite the many comparative studies on organisms living in urban and non-urban areas our knowledge on species responses to urban environments remains limited. For one, much of the ecological research has assumed that the environment changes in a linear fashion from the city core to the city edges, whereas in reality the environments within the cities are highly heterogeneous. Furthermore, studies on species responses to these highly variable ecosystems are often based on interspecific mean trait values, which ignore the potential for high levels of intraspecific variation among individuals in key functional traits. 3. The current study investigated intraspecific functional trait differences for four functional traits associated with body size, mobility, and resource selection among rural and urban populations of two common bumblebee species, Bombus pascuorum and Bombus lapidarius, in urban centers and adjacent rural areas in Switzerland. 4. We document shifts in functional traits towards smaller individuals and higher multidimensional trait variation in urban populations compared to rural conspecifics of both species. This shows that urban individuals for both species are on average smaller sized but populations are distinctively different from rural population by increasing their trait richness and diversifying their trait combinations. In addition, we found bimodality in tongue length within urban B. pascuorum populations. 5. Our results suggest that urban and rural populations possibly experience differential selection pressures resulting in trait differences across and among populations. We argue that variations in the respective foraging landscapes in cities leads to smaller-sized but phenotypically more diverse populations, and drive functional trait divergence.

This dataset contains the results from participatory mapping workshops with local communities in the municipality of Abrucena, in Almería, Spain. Participatory workshops were carried out divided by gender in different days. In addition, within each workshop, participants were dividing in two different groups. Participants were asked to: a) map past biocultural diversity elements in the region (i.e., practices, knowledge, and traditions); and b) map current biocultural diversity elements (i.e., practices, knowledge and traditions) in the region. In this upload you can find 4 files (shapefiles format): 1- Spatial database of past (1950) biocultural diversity elements mapped by women: this file contains the dataset with three different biocultural diversity elements differentiated (TypeBCD): practices, knowledge, traditions. 2- Spatial database of current (2022) biocultural diversity elements mapped by women: this file contains the dataset with three different biocultural diversity elements differentiated (TypeBCD): practices, knowledge, traditions. 3- Spatial database of past (1950) biocultural diversity elements mapped by men: this file contains the dataset with three different biocultural diversity elements differentiated (TypeBCD): practices, knowledge, traditions. 4- Spatial database of current (2022) biocultural diversity elements mapped by men: this file contains the dataset with three different biocultural diversity elements differentiated (TypeBCD): practices, knowledge, traditions. "This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 101031168".

SP.RUR.TOTL. 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. This database presents population and other demographic estimates and projections from 1960 to 2050, covering more than 200 economies. It includes population data by various age groups, sex, urban/rural; fertility data; mortality data; and migration data.

Changes in the urbanization process have been threatening livelihood diversity in rural communities in Brazil. The main objective of publishing such a dataset is to make available data about the social, economic, and diet aspects of rural communities in different geographical regions in Brazil. The survey was conducted in three macro-regions of Brazil (Northeast, Center-West, and Eastern Amazon) through semi-structured questionnaire interviews in 1012 domestic units to verify details about food patterns, self-consumption farms, and socioeconomic conditions.