22 datasets found
  1. K

    US Places (Population 100K - 250K)

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Feb 1, 2001
    + more versions
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    US Bureau of Transportation Statistics (BTS) (2001). US Places (Population 100K - 250K) [Dataset]. https://koordinates.com/layer/22831-us-places-population-100k-250k/
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    geopackage / sqlite, pdf, dwg, csv, kml, shapefile, geodatabase, mapinfo mif, mapinfo tabAvailable download formats
    Dataset updated
    Feb 1, 2001
    Dataset authored and provided by
    US Bureau of Transportation Statistics (BTS)
    Area covered
    Description

    This data set includes cities in the United States, Puerto Rico and the U.S. Virgin Islands. These cities were collected from the 1970 National Atlas of the United States. Where applicable, U.S. Census Bureau codes for named populated places were associated with each name to allow additional information to be attached. The Geographic Names Information System (GNIS) was also used as a source for additional information. This is a revised version of the December, 2003, data set.

    This layer is sourced from maps.bts.dot.gov.

  2. v

    Virginia Cities by Population

    • virginia-demographics.com
    Updated Jun 20, 2024
    + more versions
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    Kristen Carney (2024). Virginia Cities by Population [Dataset]. https://www.virginia-demographics.com/cities_by_population
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    Dataset updated
    Jun 20, 2024
    Dataset provided by
    Cubit Planning, Inc.
    Authors
    Kristen Carney
    License

    https://www.virginia-demographics.com/terms_and_conditionshttps://www.virginia-demographics.com/terms_and_conditions

    Area covered
    Virginia
    Description

    A dataset listing Virginia cities by population for 2024.

  3. w

    Washington Cities by Population

    • washington-demographics.com
    Updated Jun 20, 2024
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    Kristen Carney (2024). Washington Cities by Population [Dataset]. https://www.washington-demographics.com/cities_by_population
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    Dataset updated
    Jun 20, 2024
    Dataset provided by
    Cubit Planning, Inc.
    Authors
    Kristen Carney
    License

    https://www.washington-demographics.com/terms_and_conditionshttps://www.washington-demographics.com/terms_and_conditions

    Area covered
    Washington, Tacoma
    Description

    A dataset listing Washington cities by population for 2024.

  4. o

    Oregon Cities by Population

    • oregon-demographics.com
    Updated Jun 20, 2024
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    Kristen Carney (2024). Oregon Cities by Population [Dataset]. https://www.oregon-demographics.com/cities_by_population
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    Dataset updated
    Jun 20, 2024
    Dataset provided by
    Cubit Planning, Inc.
    Authors
    Kristen Carney
    License

    https://www.oregon-demographics.com/terms_and_conditionshttps://www.oregon-demographics.com/terms_and_conditions

    Area covered
    Oregon
    Description

    A dataset listing Oregon cities by population for 2024.

  5. w

    Wisconsin Cities by Population

    • wisconsin-demographics.com
    Updated Jun 20, 2024
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    Kristen Carney (2024). Wisconsin Cities by Population [Dataset]. https://www.wisconsin-demographics.com/cities_by_population
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    Dataset updated
    Jun 20, 2024
    Dataset provided by
    Cubit Planning, Inc.
    Authors
    Kristen Carney
    License

    https://www.wisconsin-demographics.com/terms_and_conditionshttps://www.wisconsin-demographics.com/terms_and_conditions

    Area covered
    Wisconsin
    Description

    A dataset listing Wisconsin cities by population for 2024.

  6. c

    Colorado Cities by Population

    • colorado-demographics.com
    • myaistarter.com.tubetargeterapp.com
    Updated Jun 20, 2024
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    Kristen Carney (2024). Colorado Cities by Population [Dataset]. https://www.colorado-demographics.com/cities_by_population
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    Dataset updated
    Jun 20, 2024
    Dataset provided by
    Cubit Planning, Inc.
    Authors
    Kristen Carney
    License

    https://www.colorado-demographics.com/terms_and_conditionshttps://www.colorado-demographics.com/terms_and_conditions

    Area covered
    Colorado
    Description

    A dataset listing Colorado cities by population for 2024.

  7. Population of the largest cities of Czechia 2023

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Population of the largest cities of Czechia 2023 [Dataset]. https://www.statista.com/statistics/1467033/czechia-largest-cities-by-population/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Czechia
    Description

    In 2023, the largest city in Czechia was its capital, Prague, with a population of more than 1.3 million. Together with Brno and Ostrava, these were the only three cities with more than 200,000 people.

  8. u

    Utah Cities by Population

    • utah-demographics.com
    Updated Jun 20, 2024
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    Kristen Carney (2024). Utah Cities by Population [Dataset]. https://www.utah-demographics.com/cities_by_population
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    Dataset updated
    Jun 20, 2024
    Dataset provided by
    Cubit Planning, Inc.
    Authors
    Kristen Carney
    License

    https://www.utah-demographics.com/terms_and_conditionshttps://www.utah-demographics.com/terms_and_conditions

    Description

    A dataset listing Utah cities by population for 2024.

  9. i

    Indiana Cities by Population

    • indiana-demographics.com
    Updated Jun 20, 2024
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    Kristen Carney (2024). Indiana Cities by Population [Dataset]. https://www.indiana-demographics.com/cities_by_population
    Explore at:
    Dataset updated
    Jun 20, 2024
    Dataset provided by
    Cubit Planning, Inc.
    Authors
    Kristen Carney
    License

    https://www.indiana-demographics.com/terms_and_conditionshttps://www.indiana-demographics.com/terms_and_conditions

    Area covered
    Indiana
    Description

    A dataset listing Indiana cities by population for 2024.

  10. g

    Georgia Cities by Population

    • georgia-demographics.com
    Updated Jun 20, 2024
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    Kristen Carney (2024). Georgia Cities by Population [Dataset]. https://www.georgia-demographics.com/cities_by_population
    Explore at:
    Dataset updated
    Jun 20, 2024
    Dataset provided by
    Cubit Planning, Inc.
    Authors
    Kristen Carney
    License

    https://www.georgia-demographics.com/terms_and_conditionshttps://www.georgia-demographics.com/terms_and_conditions

    Area covered
    Georgia
    Description

    A dataset listing Georgia cities by population for 2024.

  11. n

    New York Cities by Population

    • newyork-demographics.com
    Updated Jun 20, 2024
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    Kristen Carney (2024). New York Cities by Population [Dataset]. https://www.newyork-demographics.com/cities_by_population
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    Dataset updated
    Jun 20, 2024
    Dataset provided by
    Cubit Planning, Inc.
    Authors
    Kristen Carney
    License

    https://www.newyork-demographics.com/terms_and_conditionshttps://www.newyork-demographics.com/terms_and_conditions

    Area covered
    New York
    Description

    A dataset listing New York cities by population for 2024.

  12. l

    Louisiana Cities by Population

    • louisiana-demographics.com
    Updated Jun 20, 2024
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    Kristen Carney (2024). Louisiana Cities by Population [Dataset]. https://www.louisiana-demographics.com/cities_by_population
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    Dataset updated
    Jun 20, 2024
    Dataset provided by
    Cubit Planning, Inc.
    Authors
    Kristen Carney
    License

    https://www.louisiana-demographics.com/terms_and_conditionshttps://www.louisiana-demographics.com/terms_and_conditions

    Area covered
    Louisiana, Shreveport
    Description

    A dataset listing Louisiana cities by population for 2024.

  13. n

    New Mexico Cities by Population

    • newmexico-demographics.com
    Updated Jun 20, 2024
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    Kristen Carney (2024). New Mexico Cities by Population [Dataset]. https://www.newmexico-demographics.com/cities_by_population
    Explore at:
    Dataset updated
    Jun 20, 2024
    Dataset provided by
    Cubit Planning, Inc.
    Authors
    Kristen Carney
    License

    https://www.newmexico-demographics.com/terms_and_conditionshttps://www.newmexico-demographics.com/terms_and_conditions

    Area covered
    New Mexico
    Description

    A dataset listing New Mexico cities by population for 2024.

  14. The biggest cities and municipalities in Belgium in 2022

    • statista.com
    Updated Mar 3, 2025
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    Statista (2025). The biggest cities and municipalities in Belgium in 2022 [Dataset]. https://www.statista.com/statistics/525853/the-10-largest-cities-and-municipalities-in-belgium/
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    Dataset updated
    Mar 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2022
    Area covered
    Belgium
    Description

    In 2022, in terms of population, the biggest cities or municipalities in Belgium were Antwerp, Ghent, Charleroi, Liège, and Brussels. The Flemish cities of Antwerp and Ghent were the most populated in Belgium in 2022. From a regional perspective, out of the 6.8 million people living in Flanders, around 800,000 people lived in one of these two cities. However, the region of Wallonia also had large cities such as Charleroi and Liège. For instance, both cities registered around 200,000 inhabitants each. To put all these numbers into perspective, Belgium’s population amounted to 11.6 million in 2022.

    Belgium’s capital city: Brussels

    Surprisingly, the Belgian capital, Brussels, was not on top of the list. The reason for this is in the way the city’s population is measured. Brussels is made of 19 municipalities. In this ranking, for instance, only three of them are listed: Brussels City, Schaerbeek, and Anderlecht. These 19 municipalities form the heart of the agglomeration of Brussels which counts 36 municipalities in total and is also known as “le Grand Bruxelles”. In 2019, over a million people were living in this Brussels-Capital Region. The agglomeration of Brussels is the most populated in the country, it is bigger than the agglomeration of Antwerp. Yet in terms of municipalities, Antwerp was the most populated in Belgium in 2020.

    Belgium’s five big agglomerations

    Belgium faced a population growth of 0.58 percent in 2020. The country counts five big agglomerations: Antwerp, Brussels, Charleroi, Ghent, and Liège. Although the notion of agglomeration is very fluid and disputed, each of these five agglomerations represents a significant part of the population. For some, agglomerations are defined by the continuity of constructions. For others, they are defined by the sense of an urban entity shared by a living community. Nonetheless, the definition of an agglomeration in Belgium corresponds to the European rules. These rules fix the technical specifications regarding the population and housing census. An agglomeration is, therefore, a group of municipalities which includes a continuously built-up zone with no cut of more than 200 meters between two constructions.

  15. Most dangerous cities in the U.S. 2023, by violent crime rate

    • statista.com
    Updated Dec 12, 2024
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    Statista (2024). Most dangerous cities in the U.S. 2023, by violent crime rate [Dataset]. https://www.statista.com/statistics/217685/most-dangerous-cities-in-north-america-by-crime-rate/
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    Dataset updated
    Dec 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, around 3,640.56 violent crimes per 100,000 residents were reported in Oakland, California. This made Oakland the most dangerous city in the United States in that year. Four categories of violent crimes were used: murder and non-negligent manslaughter; forcible rape; robbery; and aggravated assault. Only cities with a population of at least 200,000 were considered.

  16. Average number of people per household in large cities in Israel 2022

    • ai-chatbox.pro
    • statista.com
    Updated Apr 1, 2025
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    Statista (2025). Average number of people per household in large cities in Israel 2022 [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstatistics%2F1391487%2Faverage-number-of-people-per-household-in-large-cities-in-israel%2F%23XgboD02vawLbpWJjSPEePEUG%2FVFd%2Bik%3D
    Explore at:
    Dataset updated
    Apr 1, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Israel
    Description

    In 2022, the average number of people per household in the city of Bnei Brak in Israel was 4.37. This city topped the list of people per household among large cities in Israel (200,000 or more people). In comparison, the national average number of people per household was 3.19, which put Bnei Brak, a city with a predominantly Orthodox Jewish population. The city of Tel Aviv-Yafo ends the list with an average of 2.21 persons per household.

  17. N

    Chicago, IL Annual Population and Growth Analysis Dataset: A Comprehensive...

    • neilsberg.com
    csv, json
    Updated Jul 30, 2024
    + more versions
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    Neilsberg Research (2024). Chicago, IL Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in Chicago from 2000 to 2023 // 2024 Edition [Dataset]. https://www.neilsberg.com/insights/chicago-il-population-by-year/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jul 30, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Illinois, Chicago
    Variables measured
    Annual Population Growth Rate, Population Between 2000 and 2023, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2023. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2023. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Chicago 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 Chicago 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 Chicago was 2.66 million, a 0.31% decrease year-by-year from 2022. Previously, in 2022, Chicago population was 2.67 million, a decline of 1.16% compared to a population of 2.7 million in 2021. Over the last 20 plus years, between 2000 and 2023, population of Chicago decreased by 231,271. In this period, the peak population was 2.9 million in the year 2000. 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).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

    Data Coverage:

    • From 2000 to 2023

    Variables / Data Columns

    • Year: This column displays the data year (Measured annually and for years 2000 to 2023)
    • Population: The population for the specific year for the Chicago is shown in this column.
    • Year on Year Change: This column displays the change in Chicago population for each year compared to the previous year.
    • Change in Percent: This column displays the year on year change as a percentage. 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 Chicago Population by Year. You can refer the same here

  18. M

    San Jose Metro Area Population (1950-2025)

    • macrotrends.net
    csv
    Updated May 31, 2025
    + more versions
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    MACROTRENDS (2025). San Jose Metro Area Population (1950-2025) [Dataset]. https://www.macrotrends.net/global-metrics/cities/23131/san-jose/population
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    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 1950 - Jun 18, 2025
    Area covered
    San Jose, United States
    Description

    Chart and table of population level and growth rate for the San Jose metro area from 1950 to 2025.

  19. C

    Medical Service Study Areas

    • data.chhs.ca.gov
    • data.ca.gov
    • +3more
    Updated Dec 6, 2024
    + more versions
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    Department of Health Care Access and Information (2024). Medical Service Study Areas [Dataset]. https://data.chhs.ca.gov/dataset/medical-service-study-areas
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    zip, arcgis geoservices rest api, csv, kml, geojson, htmlAvailable download formats
    Dataset updated
    Dec 6, 2024
    Dataset provided by
    CA Department of Health Care Access and Information
    Authors
    Department of Health Care Access and Information
    Description
    This is the current Medical Service Study Area. California Medical Service Study Areas are created by the California Department of Health Care Access and Information (HCAI).

    Check the Data Dictionary for field descriptions.


    Checkout the California Healthcare Atlas for more Medical Service Study Area information.

    This is an update to the MSSA geometries and demographics to reflect the new 2020 Census tract data. The Medical Service Study Area (MSSA) polygon layer represents the best fit mapping of all new 2020 California census tract boundaries to the original 2010 census tract boundaries used in the construction of the original 2010 MSSA file. Each of the state's new 9,129 census tracts was assigned to one of the previously established medical service study areas (excluding tracts with no land area), as identified in this data layer. The MSSA Census tract data is aggregated by HCAI, to create this MSSA data layer. This represents the final re-mapping of 2020 Census tracts to the original 2010 MSSA geometries. The 2010 MSSA were based on U.S. Census 2010 data and public meetings held throughout California.


    <a href="https://hcai.ca.gov/">https://hcai.ca.gov/</a>

    Source of update: American Community Survey 5-year 2006-2010 data for poverty. For source tables refer to InfoUSA update procedural documentation. The 2010 MSSA Detail layer was developed to update fields affected by population change. The American Community Survey 5-year 2006-2010 population data pertaining to total, in households, race, ethnicity, age, and poverty was used in the update. The 2010 MSSA Census Tract Detail map layer was developed to support geographic information systems (GIS) applications, representing 2010 census tract geography that is the foundation of 2010 medical service study area (MSSA) boundaries. ***This version is the finalized MSSA reconfiguration boundaries based on the US Census Bureau 2010 Census. In 1976 Garamendi Rural Health Services Act, required the development of a geographic framework for determining which parts of the state were rural and which were urban, and for determining which parts of counties and cities had adequate health care resources and which were "medically underserved". Thus, sub-city and sub-county geographic units called "medical service study areas [MSSAs]" were developed, using combinations of census-defined geographic units, established following General Rules promulgated by a statutory commission. After each subsequent census the MSSAs were revised. In the scheduled revisions that followed the 1990 census, community meetings of stakeholders (including county officials, and representatives of hospitals and community health centers) were held in larger metropolitan areas. The meetings were designed to develop consensus as how to draw the sub-city units so as to best display health care disparities. The importance of involving stakeholders was heightened in 1992 when the United States Department of Health and Human Services' Health and Resources Administration entered a formal agreement to recognize the state-determined MSSAs as "rational service areas" for federal recognition of "health professional shortage areas" and "medically underserved areas". After the 2000 census, two innovations transformed the process, and set the stage for GIS to emerge as a major factor in health care resource planning in California. First, the Office of Statewide Health Planning and Development [OSHPD], which organizes the community stakeholder meetings and provides the staff to administer the MSSAs, entered into an Enterprise GIS contract. Second, OSHPD authorized at least one community meeting to be held in each of the 58 counties, a significant number of which were wholly rural or frontier counties. For populous Los Angeles County, 11 community meetings were held. As a result, health resource data in California are collected and organized by 541 geographic units. The boundaries of these units were established by community healthcare experts, with the objective of maximizing their usefulness for needs assessment purposes. The most dramatic consequence was introducing a data simultaneously displayed in a GIS format. A two-person team, incorporating healthcare policy and GIS expertise, conducted the series of meetings, and supervised the development of the 2000-census configuration of the MSSAs.

    MSSA Configuration Guidelines (General Rules):- Each MSSA is composed of one or more complete census tracts.- As a general rule, MSSAs are deemed to be "rational service areas [RSAs]" for purposes of designating health professional shortage areas [HPSAs], medically underserved areas [MUAs] or medically underserved populations [MUPs].- MSSAs will not cross county lines.- To the extent practicable, all census-defined places within the MSSA are within 30 minutes travel time to the largest population center within the MSSA, except in those circumstances where meeting this criterion would require splitting a census tract.- To the extent practicable, areas that, standing alone, would meet both the definition of an MSSA and a Rural MSSA, should not be a part of an Urban MSSA.- Any Urban MSSA whose population exceeds 200,000 shall be divided into two or more Urban MSSA Subdivisions.- Urban MSSA Subdivisions should be within a population range of 75,000 to 125,000, but may not be smaller than five square miles in area. If removing any census tract on the perimeter of the Urban MSSA Subdivision would cause the area to fall below five square miles in area, then the population of the Urban MSSA may exceed 125,000. - To the extent practicable, Urban MSSA Subdivisions should reflect recognized community and neighborhood boundaries and take into account such demographic information as income level and ethnicity. Rural Definitions: A rural MSSA is an MSSA adopted by the Commission, which has a population density of less than 250 persons per square mile, and which has no census defined place within the area with a population in excess of 50,000. Only the population that is located within the MSSA is counted in determining the population of the census defined place. A frontier MSSA is a rural MSSA adopted by the Commission which has a population density of less than 11 persons per square mile. Any MSSA which is not a rural or frontier MSSA is an urban MSSA. Last updated December 6th 2024.
  20. d

    HUD Entitlement Grantee Jurisdiction - National Geospatial Data Asset...

    • datadiscoverystudio.org
    • data.amerigeoss.org
    • +1more
    Updated Apr 25, 2017
    + more versions
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    (2017). HUD Entitlement Grantee Jurisdiction - National Geospatial Data Asset (NGDA). [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/9b1d29b19276443ba94ace66f11ab6b7/html
    Explore at:
    Dataset updated
    Apr 25, 2017
    Description

    description: The Community Development Block Grant (CDBG) program is a flexible program that provides communities with resources to address a wide range of unique community development needs. Beginning in 1974, the CDBG program is one of the longest continuously run programs at HUD. The CDBG program provides annual grants on a formula basis to of local and state governments. The annual CDBG appropriation is allocated between States and local jurisdictions called non - entitlement and entitlement communities respectively. Entitlement communities are comprised of the principal cities of Metropolitan Statistical Areas; metropolitan cities with populations of at least 50,000; and qualified urban counties with a population of 200,000 or more (excluding the populations of entitlement cities). States distribute CDBG funds to non-entitlement localities not qualified as entitlement communities. HUD determines the amount of each grant by using a formula comprised of several measures of community need, including the extent of poverty, population, housing overcrowding, age of housing, and population growth lag in relationship to other metropolitan areas.; abstract: The Community Development Block Grant (CDBG) program is a flexible program that provides communities with resources to address a wide range of unique community development needs. Beginning in 1974, the CDBG program is one of the longest continuously run programs at HUD. The CDBG program provides annual grants on a formula basis to of local and state governments. The annual CDBG appropriation is allocated between States and local jurisdictions called non - entitlement and entitlement communities respectively. Entitlement communities are comprised of the principal cities of Metropolitan Statistical Areas; metropolitan cities with populations of at least 50,000; and qualified urban counties with a population of 200,000 or more (excluding the populations of entitlement cities). States distribute CDBG funds to non-entitlement localities not qualified as entitlement communities. HUD determines the amount of each grant by using a formula comprised of several measures of community need, including the extent of poverty, population, housing overcrowding, age of housing, and population growth lag in relationship to other metropolitan areas.

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US Bureau of Transportation Statistics (BTS) (2001). US Places (Population 100K - 250K) [Dataset]. https://koordinates.com/layer/22831-us-places-population-100k-250k/

US Places (Population 100K - 250K)

Explore at:
geopackage / sqlite, pdf, dwg, csv, kml, shapefile, geodatabase, mapinfo mif, mapinfo tabAvailable download formats
Dataset updated
Feb 1, 2001
Dataset authored and provided by
US Bureau of Transportation Statistics (BTS)
Area covered
Description

This data set includes cities in the United States, Puerto Rico and the U.S. Virgin Islands. These cities were collected from the 1970 National Atlas of the United States. Where applicable, U.S. Census Bureau codes for named populated places were associated with each name to allow additional information to be attached. The Geographic Names Information System (GNIS) was also used as a source for additional information. This is a revised version of the December, 2003, data set.

This layer is sourced from maps.bts.dot.gov.

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