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.

Rural zoning of the Hauts-de-France region where the development of services is necessary in the coming years. This zoning comes from the SDAASP (Departmental Plans for Improving the Accessibility of Services to the Public) which aim to strengthen the network of public services in the territory, observe the gaps and seek to fill them. This data is the fixed representation on the date of the vote of the SRADDET (approved by prefectoral decree on 4 August 2020)

Rural Secretariat Regions developed for the Rural Secretariat of Executive Council. Regional boundaries were created by merging census consolidated subdivisions.

FHFA's Duty to Serve regulation defines "rural area" as: (i) A census tract outside of an MSA as designated by the Office of Management and Budget (OMB); or (ii) A census tract in an MSA as designated by OMB that is: (A) Outside of the MSA’s Urbanized Areas as designated by the U.S. Department of Agriculture’s (USDA) Rural-Urban Commuting Area (RUCA) Code #1, and outside of tracts with a housing density of over 64 housing units per square mile for USDA’s RUCA Code #2; or (B) A colonia census tract that does not satisfy paragraphs (i) or (ii)(A) of this definition. This data contains both the specific geographies which meet the Rural Areas definition and also the areas defined as “high-needs rural regions”.

This page is considered archival. please refer to the new data landing page at Medi-Cal Managed Care Capitation Rates by Managed Care Plan Models.

This dataset displays reimbursement rates paid to Medi-Cal Managed Care health plans in the Regional model, by State Fiscal Year. The Regional Model serves beneficiaries in 28 rural counties: Alpine, Amador, Butte, Calaveras, Colusa, Del Norte, El Dorado, Glenn, Humboldt, Inyo, Imperial, Lake, Lassen, Mariposa, Mendocino, Modoc, Mono, Nevada, Placer, Plumas, San Benito, Sierra, Siskiyou, Sutter, Tehama, Trinity, Tuolumne, and Yuba. The Department of Health Care Services (DHCS) contracts with two Commercial plans to provide services in each county. San Benito is the only exception where beneficiaries can choose either the managed care plan or (fee-for-service) Medi-Cal.

Population: Rural: VR: Orenburg Region data was reported at 725,065.000 Person in 2024. This records a decrease from the previous number of 731,938.000 Person for 2023. Population: Rural: VR: Orenburg Region data is updated yearly, averaging 794,238.500 Person from Dec 1989 (Median) to 2024, with 36 observations. The data reached an all-time high of 938,906.000 Person in 1999 and a record low of 725,065.000 Person in 2024. Population: Rural: VR: Orenburg Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Global Database’s Russian Federation – Table RU.GA012: Population: Rural: by Region.

As of 2025, an estimated ** percent of Europeans living in rural areas accessed the internet, compared to ** percent of the population living in the Americas. The lowest internet usage reach was in rural areas in Africa, at ** percent. Overall, urban areas presented a higher percentage of internet penetration.

Population: Rural: SF: Republic of Adygea data was reported at 257,929.000 Person in 2024. This records an increase from the previous number of 256,981.000 Person for 2023. Population: Rural: SF: Republic of Adygea data is updated yearly, averaging 214,824.500 Person from Dec 1989 (Median) to 2024, with 36 observations. The data reached an all-time high of 257,929.000 Person in 2024 and a record low of 206,609.000 Person in 1992. Population: Rural: SF: Republic of Adygea data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Global Database’s Russian Federation – Table RU.GA012: Population: Rural: by Region.

Eastern Africa was the region with the highest share of people living in rural areas in Africa. In 2023, almost 70 percent of the population in the region resided in rural areas. On the other hand, some 34 percent of the individuals in Southern Africa lived in rural areas, the lowest on the continent.

Population: Rural: CF: Tula Region data was reported at 393,470.000 Person in 2024. This records a decrease from the previous number of 396,754.000 Person for 2023. Population: Rural: CF: Tula Region data is updated yearly, averaging 340,246.500 Person from Dec 1989 (Median) to 2024, with 36 observations. The data reached an all-time high of 399,594.000 Person in 2021 and a record low of 297,316.000 Person in 2004. Population: Rural: CF: Tula Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Global Database’s Russian Federation – Table RU.GA012: Population: Rural: by Region.

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.

Population: Rural: NW: Novgorod Region data was reported at 150,824.000 Person in 2024. This records a decrease from the previous number of 153,053.000 Person for 2023. Population: Rural: NW: Novgorod Region data is updated yearly, averaging 189,251.000 Person from Dec 1989 (Median) to 2024, with 36 observations. The data reached an all-time high of 228,448.000 Person in 1989 and a record low of 150,824.000 Person in 2024. Population: Rural: NW: Novgorod Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Global Database’s Russian Federation – Table RU.GA012: Population: Rural: by Region.

Population: Rural: NW: Vologda Region data was reported at 303,045.000 Person in 2024. This records a decrease from the previous number of 306,514.000 Person for 2023. Population: Rural: NW: Vologda Region data is updated yearly, averaging 376,703.500 Person from Dec 1989 (Median) to 2024, with 36 observations. The data reached an all-time high of 467,579.000 Person in 1989 and a record low of 303,045.000 Person in 2024. Population: Rural: NW: Vologda Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Global Database’s Russian Federation – Table RU.GA012: Population: Rural: by Region.

Population: Rural: FE: Magadan Region data was reported at 4,632.000 Person in 2024. This records a decrease from the previous number of 4,709.000 Person for 2023. Population: Rural: FE: Magadan Region data is updated yearly, averaging 9,100.500 Person from Dec 1989 (Median) to 2024, with 36 observations. The data reached an all-time high of 61,306.000 Person in 1989 and a record low of 4,632.000 Person in 2024. Population: Rural: FE: Magadan Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Global Database’s Russian Federation – Table RU.GA012: Population: Rural: by Region.

As of March 2024, the rural poverty line of Bangka Belitung Islands amounted to approximately ******* Indonesian rupiah, the highest among all provinces. The poverty line is the minimum amount of income needed for day to day necessities.

The Low Elevation Coastal Zone (LECZ) Global Delta Urban-Rural Population and Land Area Estimates, Version 1 data set provides country-level estimates of urban, quasi-urban, rural, and total population (count), land area (square kilometers), and built-up areas in river delta- and non-delta contexts for 246 statistical areas (countries and other UN-recognized territories) for the years 1990, 2000, 2014 and 2015. The population estimates are disaggregated such that compounding risk factors including elevation, settlement patterns, and delta zones can be cross-examined. The Intergovernmental Panel on Climate Change (IPCC) recently concluded that without significant adaptation and mitigation action, risk to coastal commUnities will increase at least one order of magnitude by 2100, placing people, property, and environmental resources at greater risk. Greater-risk zones were then generated: 1) the global extent of two low-elevation zones contiguous to the coast, one bounded by an upper elevation of 10m (LECZ10), and one by an upper elevation of 5m (LECZ05); 2) the extent of the world's major deltas; 3) the distribution of people and built-up area around the world; 4) the extents of urban centers around the world. The data are layered spatially, along with political and land/water boundaries, allowing the densities and quantities of population and built-up area, as well as levels of urbanization (defined as the share of population living in "urban centers") to be estimated for any country or region, both inside and outside the LECZs and deltas, and at two points in time (1990 and 2015). In using such estimates of populations living in 5m and 10m LECZs and outside of LECZs, policymakers can make informed decisions based on perceived exposure and vulnerability to potential damages from sea level rise.

In 2024, ** percent of the European population living in rural areas were estimated to be covered by a mobile network, the highest share of any global region. Rural coverage was reported to have been the lowest in the Americas, with **** percent of the population covered.

This statistic depicts the average annual disposable income per capita of rural households in China in 2023, by geographic region. In 2023, the disposable annual income of rural household members in Eastern China came to around ****** yuan.