In 2023, there were approximately ***** million people living in rural areas in the United States, while about ****** million people were living in urban areas. Within the provided time period, the number of people living in urban U.S. areas has increased significantly since totaling only ****** million in 1960.

In 2024, the urban population of the Republic of Ireland was approximately 3.48 million, while the rural population was around 1.89 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.

Income and Urban vs. Rural Population Dataset

Overview

This dataset provides insights into the population distribution and income levels across counties in the United States, with a classification of counties as either "Urban" or "Rural." The data was sourced from the U.S. Census Bureau's 2023 American Community Survey (ACS).

Methodology

1. Data Source:

   • API Endpoint: U.S. Census Bureau ACS 2023 API
   • Variables:
     • B01003_001E: Total population.
     • B19013_001E: Median household income.

2. Processing:

   • Counties were classified as "Urban" if their population was above the median population; otherwise, they were classified as "Rural."
   • FIPS codes were generated by concatenating State and County FIPS codes.

3. Columns:

   • County: County name.
   • State: State name.
   • FIPS: Combined state and county FIPS code.
   • State FIPS Code: State's Federal Information Processing Standard code.
   • County FIPS Code: County's FIPS code.
   • Total Population: Total population of the county.
   • Median Household Income: Median household income for the county.
   • Urban-Rural: Classification based on population (Urban or Rural).

Usage

This dataset can be used for: - Urban vs. rural demographic and economic analysis. - Income distribution studies. - Data visualization and mapping using FIPS codes.

License

This dataset is provided under the public domain. Proper attribution to the U.S. Census Bureau is appreciated.

Rural and urban population 1990 - 2017, FAOSTAT (website: http://www.fao.org/faostat/en/#country/127)

Trinidad and Tobago TT: Rural Population: % of Total Population data was reported at 91.730 % in 2017. This records an increase from the previous number of 91.648 % for 2016. Trinidad and Tobago TT: Rural Population: % of Total Population data is updated yearly, averaging 89.833 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 91.730 % in 2017 and a record low of 82.651 % in 1960. Trinidad and Tobago TT: Rural 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. 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: 2014 Revision.; Weighted average;

This statistic shows the size of the urban and rural populations of Germany between 1960 and 2022. Over the years recorded here, the urban population of Germany has increased, while the rural population has declined. The population of Germany has remained at approximately 82 million during this period.

Actual value and historical data chart for Pakistan Rural Population Percent Of Total Population

This dataset is about regions in the Americas. It has 4 rows. It features 3 columns: rural population, and urban population.

Netherlands NL: Rural Population: % of Total Population data was reported at 8.923 % in 2017. This records a decrease from the previous number of 9.365 % for 2016. Netherlands NL: Rural Population: % of Total Population data is updated yearly, averaging 31.899 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 40.248 % in 1960 and a record low of 8.923 % in 2017. Netherlands NL: Rural Population: % of Total Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Netherlands – Table NL.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;

Bangladesh BD: Rural Population: % of Total Population data was reported at 59.527 % in 2023. This records a decrease from the previous number of 60.289 % for 2022. Bangladesh BD: Rural Population: % of Total Population data is updated yearly, averaging 79.566 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 94.865 % in 1960 and a record low of 59.527 % in 2023. Bangladesh BD: Rural Population: % of Total Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bangladesh – Table BD.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;

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

Over 909 million people in India lived in rural areas in 2023, a decrease from 2022. Urban India, although far behind with over 508 million people, had a higher year-on-year growth rate during the measured period.

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;

The Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 2 data set consists of country-level estimates of urban population, rural population, total population and land area country-wide and in LECZs for years 1990, 2000, 2010, and 2100. The LECZs were derived from Shuttle Radar Topography Mission (SRTM), 3 arc-second (~90m) data which were post processed by ISciences LLC to include only elevations less than 20m contiguous to coastlines; and to supplement SRTM data in northern and southern latitudes. The population and land area statistics presented herein are summarized at the low coastal elevations of less than or equal to 1m, 3m, 5m, 7m, 9m, 10m, 12m, and 20m. Additionally, estimates are provided for elevations greater than 20m, and nationally. The spatial coverage of this data set includes 202 of the 232 countries and statistical areas delineated in the Gridded Rural-Urban Mapping Project version 1 (GRUMPv1) data set. The 30 omitted areas were not included because they were landlocked, or otherwise lacked coastal features. This data set makes use of the population inputs of GRUMPv1 allocated at 3 arc-seconds to match the SRTM elevations, and at 30 arc-seconds resolution in order to reflect uncertainty levels in the product resulting from the interplay of input population data resolutions (based on census Units) and the elevation data. Urban and rural areas are differentiated by the GRUMPv1 Urban Extents. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN).

This table uses U.S. Census data to create a dataset that identifies all Virginia localities as either Mostly Urban, Mostly Rural or Completely Rural. Total population and breakdown between urban and rural populations are included.

For information on the U.S. Census Bureau's use of these designations see https://www.census.gov/programs-surveys/geography/guidance/geo-areas/urban-rural.html. (Source data for this dataset is found at this link and is titled "County Classification Lookup Table [XLS]".)

Rural and urban population 1990 - 2017, FAOSTAT (website: http://www.fao.org/faostat/en/#country/180)

In 1951, India’s rural population was approximately 298.6 million, while the urban population was just 62.4 million. In 2011, the rural and urban populations of India rose to 833.7 million and 377.1 million, respectively. The rural population steadily increased by approximately 179% over 60 years. However, the urban population experienced a dramatic rise. It increased by approximately 504% during the same timeframe.

Summary File 1 (SF1) Urban/Rural Update contains summary statistics on population and housing subjects derived from the responses to the 2010 Census questionnaire. Population items include sex, age, race, Hispanic or Latino origin, household relationship, household type, household size, family type, family size, and group quarters. Housing items include occupancy status, vacancy status, and tenure (whether a housing unit is owner-occupied or renter-occupied). The summary statistics are presented in 333 tables, which are tabulated for multiple levels of observation (called "summary levels" in the Census Bureau's nomenclature), including, but not limited to, regions, divisions, states, metropolitan/micropolitan statistical areas, counties, county subdivisions, places, congressional districts, American Indian Areas, Alaska Native Areas, Hawaiian Home Lands, ZIP Code tabulation areas, census tracts, block groups, and blocks. There are 177 population tables and 58 housing tables shown down to the block level; 84 population tables and 4 housing tables shown down to the census tract level; and 10 population tables shown down to the county level. Some of the summary areas are iterated for "geographic components" or portions of geographic areas, e.g., the principal city of a metropolitan statistical area (MSA) or the urban and rural portions of a MSA. With one variable per table cell and additional variables with geographic information, the collection comprises 2,597 data files, 49 per state, the District of Columbia, Puerto Rico, and the National File. The Census Bureau released SF1 in three stages: initial release, National Update, and Urban/Rural Update. The National Update added summary levels for the United States, regions, divisions, and geographic areas that cross state lines such as Combined Statistical Areas. This update adds urban and rural population and housing unit counts, summary levels for urban areas and the urban/rural components of census tracts and block groups, geographic components involving urbanized areas and urban clusters, and two new tables (household type by relationship for the population 65 years and over and a new tabulation of the total population by race). The initial release and National Update is available as ICPSR 33461. ICPSR supplies this data collection in 54 ZIP archives. There is a separate archive for each state, the District of Columbia, Puerto Rico, and the National File. The last archive contains a Microsoft Access database shell and additional documentation files besides the codebook.

This scatter chart displays rural population (people) against urban population (people) in Chad. The data is filtered where the date is 2021. The data is about countries per year.

This scatter chart displays rural population (people) against urban population (people) in Micronesia. The data is about countries.