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 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 May 2024 study analyzed the small towns in Italy with a population of under five thousand with the highest average monthly number of Google searches in 2023. Based on the analysis, two Sicilian destinations, Favignana and San Vito Lo Capo, recorded the highest figure, each with an average of 91,890 monthly Google searches in 2023. Portofino in Liguria followed in the ranking, with 91,330 monthly Google searches on average that year.

Small towns are concentrated settlements with 50-199 inhabitants. Statistics Sweden develops boundaries for small towns using register data, such as Statistics Sweden's register of total population (RTB) and Lantmäteriet's property map and coordinated building registers.

Open data is displayed as polygons and until 2015, small towns have been updated every five years. Since 2016, they have been updated every three years.

A dataset listing Maine cities by population for 2024.

About this dataset

Context

The dataset tabulates the Arkansas City population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Arkansas City. The dataset can be utilized to understand the population distribution of Arkansas City by age. For example, using this dataset, we can identify the largest age group in Arkansas City.

Key observations

The largest age group in Arkansas City, AR was for the group of age 50-54 years with a population of 70 (15.52%), according to the 2021 American Community Survey. At the same time, the smallest age group in Arkansas City, AR was the 35-39 years with a population of 4 (0.89%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Arkansas City is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Arkansas City total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for Arkansas City 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 70 percent of the rural population had between 10,000 and 50,000 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 14 kilometers from a city.

2010 Rural-Urban Commuting Area Codes (revised 7/3/2019) , joined to SD, SPA, and CSA as of Dec. 2023.Data from https://www.ers.usda.gov/data-products/rural-urban-commuting-area-codes/. Downloaded 1/9/2024.Primary RUCA Codes, 20101 Metropolitan area core: primary flow within an urbanized area (UA)2 Metropolitan area high commuting: primary flow 30% or more to a UA3 Metropolitan area low commuting: primary flow 10% to 30% to a UA4 Micropolitan area core: primary flow within an Urban Cluster of 10,000 to 49,999 (large UC)5 Micropolitan high commuting: primary flow 30% or more to a large UC6 Micropolitan low commuting: primary flow 10% to 30% to a large UC7 Small town core: primary flow within an Urban Cluster of 2,500 to 9,999 (small UC)8 Small town high commuting: primary flow 30% or more to a small UC9 Small town low commuting: primary flow 10% to 30% to a small UC10 Rural areas: primary flow to a tract outside a UA or UC99 Not coded: Census tract has zero population and no rural-urban identifier informationSecondary RUCA Codes, 20101 Metropolitan area core: primary flow within an urbanized area (UA)1No additional code1.1Secondary flow 30% to 50% to a larger UA2 Metropolitan area high commuting: primary flow 30% or more to a UA2No additional code2.1Secondary flow 30% to 50% to a larger UA3 Metropolitan area low commuting: primary flow 10% to 30% to a UA3No additional code4 Micropolitan area core: primary flow within an Urban Cluster of 10,000 to 49,999 (large UC)4No additional code4.1Secondary flow 30% to 50% to a UA5 Micropolitan high commuting: primary flow 30% or more to a large UC5No additional code5.1Secondary flow 30% to 50% to a UA6 Micropolitan low commuting: primary flow 10% to 30% to a large UC6No additional code7 Small town core: primary flow within an Urban Cluster of 2,500 to 9,999 (small UC)7No additional code7.1Secondary flow 30% to 50% to a UA7.2Secondary flow 30% to 50% to a large UC8 Small town high commuting: primary flow 30% or more to a small UC8No additional code8.1Secondary flow 30% to 50% to a UA8.2Secondary flow 30% to 50% to a large UC9 Small town low commuting: primary flow 10% to 30% to a small UC9No additional code10 Rural areas: primary flow to a tract outside a UA or UC10No additional code10.1Secondary flow 30% to 50% to a UA10.2Secondary flow 30% to 50% to a large UC10.3Secondary flow 30% to 50% to a small UC99 Not coded: Census tract has zero population and no rural-urban identifier informationData Sources:Population data for census tracts, by urban-rural components, 2010:U.S. Census Bureau, Census of Population and Housing, 2010. Summary File 1, FTP download: https://www.census.gov/census2000/sumfile1.htmlAssignment of census tracts to specific urban areas or to rural status was completed using ESRI's ArcMap software and Census Bureau shape files:U.S. Census Bureau. Tiger/Line Shapefiles, Census Tracts and Urban Areas, 2010: https://www.census.gov/programs-surveys/geography.htmlCensus tract commuting flows, 2006-2010:U.S. Census Bureau, American Community Survey 2006-2010 Five-year estimates. Special Tabulation: Census Transportation Planning Products, Part 3, Worker Home-to-Work Flow Tables. https://www.fhwa.dot.gov/planning/census_issues/ctpp/data_products/2006-2010_table_list/sheet04.cfmTract-to-tract commuting flow files were constructed from ACS data as part of a special tabulation for the Department of Transportation—the Census Transportation Planning Package. To derive estimates for small geographic units such as census tracts, information collected annually from over 3.5 million housing units was combined across 5 years (2006-2010). As with all survey data, ACS estimates are not exact because they are based on a sample. In general, the smaller the estimate, the larger the degree of uncertainty associated with it.

About this dataset

Context

The dataset tabulates the Virginia City population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Virginia City. The dataset can be utilized to understand the population distribution of Virginia City by age. For example, using this dataset, we can identify the largest age group in Virginia City.

Key observations

The largest age group in Virginia City, MT was for the group of age 65-69 years with a population of 24 (16.22%), according to the 2021 American Community Survey. At the same time, the smallest age group in Virginia City, MT was the 0-4 years with a population of 0 (0.00%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Virginia City is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Virginia City total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for Virginia City Population by Age. You can refer the same here

A dataset listing Iowa cities by population for 2024.

According to the survey among residents of small cities and towns in China, nearly 49 percent of respondents used almost exclusively mobile payment while shopping. Only 1.6 percent of respondents said they paid mostly by cash or credit cards.

The Vatican City, often called the Holy See, has the smallest population worldwide, with only 496 inhabitants. It is also the smallest country in the world by size. The islands Niue, Tuvalu, and Nauru followed in the next three positions. On the other hand, India is the most populated country in the world, with over 1.4 billion inhabitants.

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.

A dataset listing Washington cities by population for 2024.

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)

According to the survey among Chinese internet users from small cities and rural areas, about one third of the respondents spent on average 200 to 500 yuan on online shopping a month. About 29 percent of respondents said they spent 500 to 1,000 yuan online each month. The small cities and rural areas in China have a large consumer base and huge market potential.

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)

A dataset listing Colorado cities by population for 2024.

About this dataset

Context

The dataset tabulates the Florida City population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Florida City. The dataset can be utilized to understand the population distribution of Florida City by age. For example, using this dataset, we can identify the largest age group in Florida City.

Key observations

The largest age group in Florida City, FL was for the group of age 5-9 years with a population of 1,729 (13.46%), according to the 2021 American Community Survey. At the same time, the smallest age group in Florida City, FL was the 85+ years with a population of 95 (0.74%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Florida City is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Florida City total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for Florida City Population by Age. You can refer the same here

A dataset listing Alaska cities by population for 2024.