How many incorporated places are registered in the U.S.?
There were 19,502 incorporated places registered in the United States as of July 31, 2019. 16,410 had a population under 10,000 while, in contrast, only 10 cities had a population of one million or more.
Small-town America
Suffice it to say, almost nothing is more idealized in the American imagination than small-town America. When asked where they would prefer to live, 30 percent of Americans reported that they would prefer to live in a small town. Americans tend to prefer small-town living due to a perceived slower pace of life, close-knit communities, and a more affordable cost of living when compared to large cities.
An increasing population
Despite a preference for small-town life, metropolitan areas in the U.S. still see high population figures, with the New York, Los Angeles, and Chicago metro areas being the most populous in the country. Metro and state populations are projected to increase by 2040, so while some may move to small towns to escape city living, those small towns may become more crowded in the upcoming decades.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Population in small towns by region, table content and every 5 years
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
🇸🇪 스웨덴
This link contains downloadable data for the Atlas of Rural and Small-Town America which provides statistics by broad categories of socioeconomic factors: People: Demographic data from the American Community Survey (ACS), including age, race and ethnicity, migration and immigration, education, household size, and family composition. Jobs: Economic data from the Bureau of Labor Statistics and other sources, including information on employment trends, unemployment, and industrial composition of employment from the ACS. County classifications: Categorical variables including the rural-urban continuum codes, economic dependence codes, persistent poverty, persistent child poverty, population loss, onshore oil/natural gas counties, and other ERS county typology codes. Income: Data on median household income, per capita income, and poverty (including child poverty). Veterans: Data on veterans, including service period, education, unemployment, income, and other demographic characteristics.
A March 2025 study analyzed the small towns in Italy with a population of under ***** with the highest average monthly number of Google searches in the past 12 months. Based on the analysis, *******, in the southern region of **********, recorded the highest figure, with an average of ******* monthly Google searches as of March 2025. **************** in ****** and ******** in ******** followed in the ranking, each with almost ****** monthly Google searches on average.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Little Falls town population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Little Falls town across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.
Key observations
In 2023, the population of Little Falls town was 1,473, a 0.27% decrease year-by-year from 2022. Previously, in 2022, Little Falls town population was 1,477, a decline of 1.07% compared to a population of 1,493 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Little Falls town decreased by 69. In this period, the peak population was 1,584 in the year 2007. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Little Falls town Population by Year. You can refer the same here
https://www.newyork-demographics.com/terms_and_conditionshttps://www.newyork-demographics.com/terms_and_conditions
A dataset listing New York cities by population for 2024.
As of 2019, most rural inhabitants in Africa resided close to small and mid-sized towns. The nearest city to almost ** percent of the rural population had between 10,000 and ****** inhabitants. Smaller shares of rural households, on the other hand, lived closer to larger urban areas. As of the same year, roughly half of the rural residents lived within ** kilometers from a city.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Little Compton town by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Little Compton town. The dataset can be utilized to understand the population distribution of Little Compton town by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Little Compton town. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Little Compton town.
Key observations
Largest age group (population): Male # 60-64 years (211) | Female # 65-69 years (242). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Little Compton town Population by Gender. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
For the past ten years, the growth debate has been urban-centric, at least in Germany, while rural areas have been largely associated with depopulation. Despite their importance, small towns fall into a systematic perception gap in scientific and planning discourses. Against this background, this paper applies a threefold conceptualization of scalar relations paying analytical attention to (1) population trajectories, (2) the relation of spatial proximity and development, and (3) the influence of international migration on population development. Covering the period 1961–2018, this paper shows that despite a current demographic respite due to increased international migration, many small towns will continue to face the long-term consequences of population decline. This is accompanied by an increasing spatial differentiation of population growth rates. The relation between proximity to large centres and population growth is weakening, giving rise to other factors, e.g. residential amenities and competition between small and medium-sized towns. Based on this quantitative assessment, we conclude that small towns are the most dynamic settlement type in Germany and, at the same time, extremely heterogeneous in terms of trajectories and underlying driving factors. We also discuss conceptual aspects regarding process-understanding, terms, categories, and tools to analytically grasp the complexity of small towns.
https://www.washington-demographics.com/terms_and_conditionshttps://www.washington-demographics.com/terms_and_conditions
A dataset listing Washington cities by population for 2024.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Little Falls town population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Little Falls town across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.
Key observations
In 2022, the population of Little Falls town was 1,485, a 0.80% decrease year-by-year from 2021. Previously, in 2021, Little Falls town population was 1,497, a decline of 0.00% compared to a population of 1,497 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Little Falls town decreased by 57. In this period, the peak population was 1,584 in the year 2007. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Little Falls town Population by Year. You can refer the same here
This data layer produced by the National Center for Education Statistics’ (NCES) Education Demographic and Geographic Estimates (EDGE) program provides a geographic locale framework that classifies all U.S. territory into twelve categories ranging from Large Cities to Remote Rural areas. NCES uses this framework to describe the type of geographic area where schools and school districts are located. The criteria for these classifications are defined by NCES and rely on standard geographic areas developed and maintained by the U.S. Census Bureau. The NCES Locale boundaries are based on geographic areas represented in Census TIGER/Line. For more information about the NCES locale framework, and to download the data, see: https://nces.ed.gov/programs/edge/Geographic/LocaleBoundaries. The classifications include:City - Large (11): Territory inside an Urban Area with a population of 50,000 or more and inside a Principal City with population of 250,000 or more.City - Midsize (12): Territory inside an Urban Area with a population of 50,000 or more and inside a Principal City with population less than 250,000 and greater than or equal to 100,000.City - Small (13): Territory inside an Urban Area with a population of 50,000 or more and inside a Principal City with population less than 100,000.Suburb – Large (21): Territory outside a Principal City and inside an Urban Area with population of 250,000 or more.Suburb - Midsize (22): Territory outside a Principal City and inside an Urban Area with population less than 250,000 and greater than or equal to 100,000.Suburb - Small (23): Territory outside a Principal City and inside an Urban Area with population less than 100,000. Town - Fringe (31): Territory inside an Urban Area with a population less than 50,000 that is less than or equal to 10 miles from an Urban Area with a population of 50,000 or more.Town - Distant (32): Territory inside an Urban Area with a population less than 50,000 that is more than 10 miles and less than or equal to 35 miles from an Urban Area with a population of 50,000 or more.Town - Remote (33): Territory inside an Urban Area with a population less than 50,000 that is more than 35 miles of an Urban Area with a population of 50,000 or more.Rural - Fringe (41): Census-defined rural territory that is less than or equal to 5 miles from an Urban Area of 50,000 or more, as well as rural territory that is less than or equal to 2.5 miles from an Urban Area with a population less than 50,000.Rural - Distant (42): Census-defined rural territory that is more than 5 miles but less than or equal to 25 miles from an Urban Area with a population of 50,000 or more, as well as rural territory that is more than 2.5 miles but less than or equal to 10 miles from an Urban Area with a population less than 50,000.Rural - Remote (43): Census-defined rural territory that is more than 25 miles from an Urban Area with a population of 50,000 or more and is also more than 10 miles from an Urban Area with a population less than 50,000.All information contained in this file is in the public domain. Data users are advised to review NCES program documentation and feature class metadata to understand the limitations and appropriate use of these data.
https://www.montana-demographics.com/terms_and_conditionshttps://www.montana-demographics.com/terms_and_conditions
A dataset listing Montana cities by population for 2024.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Small towns are concentrated settlements with 50-199 inhabitants. Statistics Sweden develops boundaries for small towns using register data, such as Statistics Sweden’s total population register (RTB) and Lantmäteriet’s real estate map and coordinated building registers. Open data is displayed as polygons and by 2015 small towns have been updated every five years. Since 2016, they are updated every three years.
https://www.georgia-demographics.com/terms_and_conditionshttps://www.georgia-demographics.com/terms_and_conditions
A dataset listing Georgia cities by population for 2024.
https://www.tennessee-demographics.com/terms_and_conditionshttps://www.tennessee-demographics.com/terms_and_conditions
A dataset listing Tennessee cities by population for 2024.
https://www.florida-demographics.com/terms_and_conditionshttps://www.florida-demographics.com/terms_and_conditions
A dataset listing Florida cities by population for 2024.
https://www.illinois-demographics.com/terms_and_conditionshttps://www.illinois-demographics.com/terms_and_conditions
A dataset listing Illinois cities by population for 2024.
https://www.southdakota-demographics.com/terms_and_conditionshttps://www.southdakota-demographics.com/terms_and_conditions
A dataset listing South Dakota cities by population for 2024.
How many incorporated places are registered in the U.S.?
There were 19,502 incorporated places registered in the United States as of July 31, 2019. 16,410 had a population under 10,000 while, in contrast, only 10 cities had a population of one million or more.
Small-town America
Suffice it to say, almost nothing is more idealized in the American imagination than small-town America. When asked where they would prefer to live, 30 percent of Americans reported that they would prefer to live in a small town. Americans tend to prefer small-town living due to a perceived slower pace of life, close-knit communities, and a more affordable cost of living when compared to large cities.
An increasing population
Despite a preference for small-town life, metropolitan areas in the U.S. still see high population figures, with the New York, Los Angeles, and Chicago metro areas being the most populous in the country. Metro and state populations are projected to increase by 2040, so while some may move to small towns to escape city living, those small towns may become more crowded in the upcoming decades.