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.
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.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
This Alberta Official Statistic describes the percent change in Alberta’s population between 1986 and 2011 by 5-year census cycles. The population is divided into "Larger Urban Centres" and Rural and Small Town areas. Within rural Alberta, the population is divided into four categories with each category consecutively representing lesser integration with urban economies. The four categories are called Metropolitan Influenced Zones (MIZ) and capture urban integration based on the percent of the working population commuting to urban centers. The categories are: Strong MIZ (where 30% or more of the workforce commutes to an urban core) Moderate MIZ (where 5% to 29% commute to any urban core) Weak MIZ (where greater than 0% but less than 5% commute to any urban core) No MIZ (where there are no residents commuting to an urban core)
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
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
This Alberta Official Statistic describes the percent change in Alberta’s population between 1986 and 2011 by 5-year census cycles. The population is divided into "Larger Urban Centres" and Rural and Small Town areas. Within rural Alberta, the population is divided into four categories with each category consecutively representing lesser integration with urban economies. The four categories are called Metropolitan Influenced Zones (MIZ) and capture urban integration based on the percent of the working population commuting to urban centers. The categories are: Strong MIZ (where 30% or more of the workforce commutes to an urban core) Moderate MIZ (where 5% to 29% commute to any urban core) Weak MIZ (where greater than 0% but less than 5% commute to any urban core) No MIZ (where there are no residents commuting to an urban core)
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 Valley town by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Little Valley town across both sexes and to determine which sex constitutes the majority.
Key observations
There is a majority of male population, with 53.31% of total population being male. 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.
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. No further analysis is done on the data reported from the Census Bureau.
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 Valley town Population by Race & Ethnicity. You can refer the same here
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
This Alberta Official Statistic describes the percentage of the population that reported having an Aboriginal identity in 2011. The population is divided into larger urban centres and rural and small town areas. Within the larger urban centres, the population is divided between Census Metropolitan Areas (CMA) and two different sizes of Census Agglomerations (CA). Within rural and small town Alberta, the population is divided into four categories with each category consecutively representing less integration with urban economies. The four categories are called Metropolitan Influence Zones (MIZ) and capture urban integration by measuring the percentage of the working population commuting to urban centers. The categories are: Strong MIZ (where 30% to 49% of the workforce commutes to an urban core) Moderate MIZ (where 5% to 29% commute to an urban core) Weak MIZ (where 1% to 4% commute to an urban core) No MIZ (where there are no residents commuting to an urban core)
This Alberta Official Statistic describes the percentage of the population that reported having an Aboriginal identity in 2011. The population is divided into larger urban centres and rural and small town areas. Within the larger urban centres, the population is divided between Census Metropolitan Areas (CMA) and two different sizes of Census Agglomerations (CA). Within rural and small town Alberta, the population is divided into four categories with each category consecutively representing less integration with urban economies. The four categories are called Metropolitan Influence Zones (MIZ) and capture urban integration by measuring the percentage of the working population commuting to urban centers. The categories are: Strong MIZ (where 30% to 49% of the workforce commutes to an urban core) Moderate MIZ (where 5% to 29% commute to an urban core) Weak MIZ (where 1% to 4% commute to an urban core) No MIZ (where there are no residents commuting to an urban core)
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.
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.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
This Alberta Official Statistic describes the highest level of educational attainment among the population (25 to 64 years of age) in 2011. The population is divided into larger urban centres and rural and small town areas. Within rural and small town Alberta, the population is divided into four categories according to integration with urban economies. The four categories are called Metropolitan Influence Zones (MIZ) and capture urban integration by measuring the percentage of the working population commuting to urban centers.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the data for the Little Falls Town, New York population pyramid, which represents the Little Falls town population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey 5-Year estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Age groups:
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 Age. You can refer the same here
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.
This Alberta Official Statistic describes the per capita health service providers in 2011. Per capita health service providers are the number of individuals working in medicine or health occupations per 1,000 people. The population is divided into larger urban centres and rural and small town areas. Within rural and small town Alberta, the population is divided into four categories according to integration with urban economies. The four categories are called Metropolitan Influence Zones (MIZ) and capture urban integration by measuring the percentage of the working population commuting to urban centers. The categories are: Strong MIZ (where 30% to 49% of the workforce commutes to an urban core) Moderate MIZ (where 5% to 29% commute to an urban core) Weak MIZ (where 1% to 4% commute to an urban core) No MIZ (where there are no residents commuting to an urban core)
https://www.montana-demographics.com/terms_and_conditionshttps://www.montana-demographics.com/terms_and_conditions
A dataset listing Montana cities by population for 2024.
This Alberta Official Statistic describes the highest level of educational attainment among the population (25 to 64 years of age) in 2011. The population is divided into larger urban centres and rural and small town areas. Within rural and small town Alberta, the population is divided into four categories according to integration with urban economies. The four categories are called Metropolitan Influence Zones (MIZ) and capture urban integration by measuring the percentage of the working population commuting to urban centers.
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.
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 Falls 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 Falls town. The dataset can be utilized to understand the population distribution of Little Falls town by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Little Falls 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 Falls town.
Key observations
Largest age group (population): Male # 15-19 years (83) | Female # 60-64 years (86). 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 Falls town Population by Gender. You can refer the same here
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.