100+ datasets found
  1. K

    US Major Cities (State)

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Aug 30, 2018
    + more versions
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    US Department of Agriculture (USDA) (2018). US Major Cities (State) [Dataset]. https://koordinates.com/layer/12239-us-major-cities-state/
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    kml, geodatabase, mapinfo tab, csv, mapinfo mif, dwg, geopackage / sqlite, shapefile, pdfAvailable download formats
    Dataset updated
    Aug 30, 2018
    Dataset authored and provided by
    US Department of Agriculture (USDA)
    Area covered
    Description

    Geospatial data about US Major Cities (State). Export to CAD, GIS, PDF, CSV and access via API.

  2. Most populated U.S. cities in 2022

    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). Most populated U.S. cities in 2022 [Dataset]. https://www.statista.com/statistics/205589/top-20-cities-in-the-us-with-the-highest-resident-population/
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic shows the top 25 cities in the United States with the highest resident population as of July 1, 2022. There were about 8.34 million people living in New York City as of July 2022.

  3. K

    US Major Cities

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Aug 30, 2018
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    US Department of Agriculture (USDA) (2018). US Major Cities [Dataset]. https://koordinates.com/layer/11897-us-major-cities/
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    csv, mapinfo tab, geodatabase, pdf, geopackage / sqlite, mapinfo mif, kml, shapefile, dwgAvailable download formats
    Dataset updated
    Aug 30, 2018
    Dataset authored and provided by
    US Department of Agriculture (USDA)
    Area covered
    Description

    This layer is a component of 2007_NAIP_COVERAGE_3.mxd.

  4. T

    United States - Population In Largest City

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 22, 2013
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    TRADING ECONOMICS (2013). United States - Population In Largest City [Dataset]. https://tradingeconomics.com/united-states/population-in-largest-city-wb-data.html
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    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    Jul 22, 2013
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    Population in largest city in United States was reported at 19034018 in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Population in largest city - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

  5. Annual cost of living in top 10 largest U.S. cities in 2024

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). Annual cost of living in top 10 largest U.S. cities in 2024 [Dataset]. https://www.statista.com/statistics/643471/cost-of-living-in-10-largest-cities-us/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 29, 2024
    Area covered
    United States
    Description

    Of the most populous cities in the U.S., San Jose, California had the highest annual income requirement at ******* U.S. dollars annually for homeowners to have an affordable and comfortable life in 2024. This can be compared to Houston, Texas, where homeowners needed an annual income of ****** U.S. dollars in 2024.

  6. United States US: Population in Largest City: as % of Urban Population

    • ceicdata.com
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    CEICdata.com, United States US: Population in Largest City: as % of Urban Population [Dataset]. https://www.ceicdata.com/en/united-states/population-and-urbanization-statistics/us-population-in-largest-city-as--of-urban-population
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    Dataset provided by
    CEIC Data
    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, 2005 - Dec 1, 2016
    Area covered
    United States
    Variables measured
    Population
    Description

    United States US: Population in Largest City: as % of Urban Population data was reported at 7.020 % in 2017. This records a decrease from the previous number of 7.065 % for 2016. United States US: Population in Largest City: as % of Urban Population data is updated yearly, averaging 8.675 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 11.200 % in 1960 and a record low of 7.020 % in 2017. United States US: Population in Largest City: as % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank.WDI: Population and Urbanization Statistics. Population in largest city is the percentage of a country's urban population living in that country's largest metropolitan area.; ; United Nations, World Urbanization Prospects.; Weighted average;

  7. T

    United States - Population In The Largest City

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 29, 2017
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    TRADING ECONOMICS (2017). United States - Population In The Largest City [Dataset]. https://tradingeconomics.com/united-states/population-in-the-largest-city-percent-of-urban-population-wb-data.html
    Explore at:
    csv, excel, json, xmlAvailable download formats
    Dataset updated
    May 29, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    Population in the largest city (% of urban population) in United States was reported at 6.7686 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Population in the largest city - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

  8. USA Major Cities

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Jun 30, 2013
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    Esri (2013). USA Major Cities [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/85d0ca4ea1ca4b9abf0c51b9bd34de2e
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    Dataset updated
    Jun 30, 2013
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    Important Note: This item is in mature support as of October 2022 and will be retired in December 2024. A new version of this item is available for your use.This layer presents the locations of cities within the United States with populations of approximately 10,000 or greater, all state capitals, and the national capital. Its layers symbolize the cities by population class (based on 2015 projected population) using the manual classification method.

  9. Major Cities of The World

    • johnsnowlabs.com
    csv
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    John Snow Labs, Major Cities of The World [Dataset]. https://www.johnsnowlabs.com/marketplace/ai-in-health-care-trends-and-challenges-in-2022/
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    csvAvailable download formats
    Dataset authored and provided by
    John Snow Labs
    Area covered
    World, World
    Description

    This dataset lists cities which consists of above 15,000 inhabitants. Each city is associated with its country and sub-country to reduce the number of ambiguities. Subcountry can be the name of a state (eg in the United Kingdom or the United States of America) or the major administrative section (eg "region" in "France").

  10. Big Cities Demographic Indicators

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
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    John Snow Labs (2021). Big Cities Demographic Indicators [Dataset]. https://www.johnsnowlabs.com/marketplace/big-cities-demographic-indicators/
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    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Time period covered
    2010 - 2015
    Area covered
    United States
    Description

    This dataset contains estimates for demographic indicators shared by the Big Cities Health Coalition members represented by the largest metropolitan health departments in United States. The estimated values of demographic indicators cover the 2010-2015 period and are described by location, sex and race/ethnicity.

  11. 🇺🇸 Fiscally US Cities

    • kaggle.com
    Updated Jul 31, 2024
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    mexwell (2024). 🇺🇸 Fiscally US Cities [Dataset]. https://www.kaggle.com/datasets/mexwell/fiscally-us-cities
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 31, 2024
    Dataset provided by
    Kaggle
    Authors
    mexwell
    Area covered
    United States
    Description

    Motivation

    In the United States, city governments provide many services: they run public school districts, administer certain welfare and health programs, build roads and manage airports, provide police and fire protection, inspect buildings, and often run water and utility systems. Cities also get revenues through certain local taxes, various fees and permit costs, sale of property, and through the fees they charge for the utilities they run.

    It would be interesting to compare all these expenses and revenues across cities and over time, but also quite difficult. Cities share many of these service responsibilities with other government agencies: in one particular city, some roads may be maintained by the state government, some law enforcement provided by the county sheriff, some schools run by independent school districts with their own tax revenue, and some utilities run by special independent utility districts. These governmental structures vary greatly by state and by individual city. It would be hard to make a fair comparison without taking into account all these differences.

    This dataset takes into account all those differences. The Lincoln Institute of Land Policy produces what they call “Fiscally Standardized Cities” (FiSCs), aggregating all services provided to city residents regardless of how they may be divided up by different government agencies and jurisdictions. Using this, we can study city expenses and revenues, and how the proportions of different costs vary over time.

    Data

    The dataset tracks over 200 American cities between 1977 and 2020. Each row represents one city for one year. Revenue and expenditures are broken down into more than 120 categories.

    Values are available for FiSCs and also for the entities that make it up: the city, the county, independent school districts, and any special districts, such as utility districts. There are hence five versions of each variable, with suffixes indicating the entity. For example, taxes gives the FiSC’s tax revenue, while taxes_city, taxes_cnty, taxes_schl, and taxes_spec break it down for the city, county, school districts, and special districts.

    The values are organized hierarchically. For example, taxes is the sum of tax_property (property taxes), tax_sales_general (sales taxes), tax_income (income tax), and tax_other (other taxes). And tax_income is itself the sum of tax_income_indiv (individual income tax) and tax_income_corp (corporate income tax) subcategories.

    Variable Description

    • year Year for these values
    • city_name Name of the city, such as “AK: Anchorage”, where “AK” is the standard two-letter abbreviation for Alaska
    • city_population Estimated city population, based on Census data
    • county_name Name of the county the city is in
    • county_population Estimated county population, based on Census data
    • cpi Consumer Price Index for this year, scaled so that 2020 is 1.
    • relationship_city_school Type of school district. 1: City-wide independent school district that serves the entire city. 2: County-wide independent school district that serves the entire county. 3: One or more independent school districts whose boundaries extend beyond the city. 4: School district run by or dependent on the city. 5: School district run by or dependent on the county.
    • enrollment Estimated number of public school students living in the city.
    • districts_in_city Estimated number of school districts in the city.
    • consolidated_govt Whether the city has a consolidated city-county government (1 = yes, 0 = no). For example, Philadelphia’s city and county government are the same entity; they are not separate governments.
    • id2_city 12-digit city identifier, from the Annual Survey of State and Local Government Finances
    • id2_county 12-digit county identifier
    • city_types Two types: core and legacy. There are 150 core cities, “including the two largest cities in each state, plus all cities with populations of 150,000+ in 1980 and 200,000+ in 2010”. Legacy cities include “95 cities with population declines of at least 20 percent from their peak, poverty rates exceeding the national average, and a peak population of at least 50,000”. Some cities are both (denoted “core

    The revenue and expenses variables are described in this detailed table. Further documentation is available on the FiSC Database website, linked in References below.

    All monetary data is already adjusted for inflation, and is given in terms of 2020 US dollars per capita. The Consumer Price Index is provided for each year if you prefer to use numbers not adjusted for inflation, scaled so that 2020 is 1; simply divide each value by the CPI to get the value in that year’s nominal dollars. The total population is also provided if you want total values instead of per-capita values.

    Questions

    • Do some exploratory data analysis. Are there any outlying cities? Any interesting trends and rela...
  12. d

    Domestic Violence Homicide Incidents in the Ten Largest U.S. Cities

    • catalog.data.gov
    • data.cityofnewyork.us
    • +1more
    Updated Feb 2, 2024
    + more versions
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    data.cityofnewyork.us (2024). Domestic Violence Homicide Incidents in the Ten Largest U.S. Cities [Dataset]. https://catalog.data.gov/dataset/domestic-violence-homicide-incidents-in-the-ten-largest-u-s-cities
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    Dataset updated
    Feb 2, 2024
    Dataset provided by
    data.cityofnewyork.us
    Area covered
    United States
    Description

    This data set contains count data on domestic violence homicide and intimate partner homicide incidents from the 2015 the Federal Bureau of Investigation (FBI) Supplemental Homicide Report (SHR) and population from the SHR.

  13. Heat Wave Characteristics in 50 Large U.S. Cities, 1961–2023

    • catalog.data.gov
    • s.cnmilf.com
    Updated Feb 25, 2025
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    U.S. Environmental Protection Agency, Office of Air and Radiation (Publisher) (2025). Heat Wave Characteristics in 50 Large U.S. Cities, 1961–2023 [Dataset]. https://catalog.data.gov/dataset/heat-wave-characteristics-in-50-large-u-s-cities-196120236
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    Dataset updated
    Feb 25, 2025
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Area covered
    United States
    Description

    These maps show changes in the number of heat waves per year (frequency); the average length of heat waves in days (duration); the number of days between the first and last heat wave of the year (season length); and how hot the heat waves were, compared with the local temperature threshold for defining a heat wave (intensity). These data were analyzed from 1961 to 2023 for 50 large metropolitan areas. The size of each circle indicates the rate of change per decade. Solid-color circles represent cities where the trend was statistically significant. For more information: www.epa.gov/climate-indicators

  14. n

    A dataset of 5 million city trees from 63 US cities: species, location,...

    • data.niaid.nih.gov
    • search.dataone.org
    • +2more
    zip
    Updated Aug 31, 2022
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    Dakota McCoy; Benjamin Goulet-Scott; Weilin Meng; Bulent Atahan; Hana Kiros; Misako Nishino; John Kartesz (2022). A dataset of 5 million city trees from 63 US cities: species, location, nativity status, health, and more. [Dataset]. http://doi.org/10.5061/dryad.2jm63xsrf
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    zipAvailable download formats
    Dataset updated
    Aug 31, 2022
    Dataset provided by
    The Biota of North America Program (BONAP)
    Stanford University
    Worcester Polytechnic Institute
    Harvard University
    Cornell University
    Authors
    Dakota McCoy; Benjamin Goulet-Scott; Weilin Meng; Bulent Atahan; Hana Kiros; Misako Nishino; John Kartesz
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Area covered
    United States
    Description

    Sustainable cities depend on urban forests. City trees -- a pillar of urban forests -- improve our health, clean the air, store CO2, and cool local temperatures. Comparatively less is known about urban forests as ecosystems, particularly their spatial composition, nativity statuses, biodiversity, and tree health. Here, we assembled and standardized a new dataset of N=5,660,237 trees from 63 of the largest US cities. The data comes from tree inventories conducted at the level of cities and/or neighborhoods. Each data sheet includes detailed information on tree location, species, nativity status (whether a tree species is naturally occurring or introduced), health, size, whether it is in a park or urban area, and more (comprising 28 standardized columns per datasheet). This dataset could be analyzed in combination with citizen-science datasets on bird, insect, or plant biodiversity; social and demographic data; or data on the physical environment. Urban forests offer a rare opportunity to intentionally design biodiverse, heterogenous, rich ecosystems. Methods See eLife manuscript for full details. Below, we provide a summary of how the dataset was collected and processed.

    Data Acquisition We limited our search to the 150 largest cities in the USA (by census population). To acquire raw data on street tree communities, we used a search protocol on both Google and Google Datasets Search (https://datasetsearch.research.google.com/). We first searched the city name plus each of the following: street trees, city trees, tree inventory, urban forest, and urban canopy (all combinations totaled 20 searches per city, 10 each in Google and Google Datasets Search). We then read the first page of google results and the top 20 results from Google Datasets Search. If the same named city in the wrong state appeared in the results, we redid the 20 searches adding the state name. If no data were found, we contacted a relevant state official via email or phone with an inquiry about their street tree inventory. Datasheets were received and transformed to .csv format (if they were not already in that format). We received data on street trees from 64 cities. One city, El Paso, had data only in summary format and was therefore excluded from analyses.

    Data Cleaning All code used is in the zipped folder Data S5 in the eLife publication. Before cleaning the data, we ensured that all reported trees for each city were located within the greater metropolitan area of the city (for certain inventories, many suburbs were reported - some within the greater metropolitan area, others not). First, we renamed all columns in the received .csv sheets, referring to the metadata and according to our standardized definitions (Table S4). To harmonize tree health and condition data across different cities, we inspected metadata from the tree inventories and converted all numeric scores to a descriptive scale including “excellent,” “good”, “fair”, “poor”, “dead”, and “dead/dying”. Some cities included only three points on this scale (e.g., “good”, “poor”, “dead/dying”) while others included five (e.g., “excellent,” “good”, “fair”, “poor”, “dead”). Second, we used pandas in Python (W. McKinney & Others, 2011) to correct typos, non-ASCII characters, variable spellings, date format, units used (we converted all units to metric), address issues, and common name format. In some cases, units were not specified for tree diameter at breast height (DBH) and tree height; we determined the units based on typical sizes for trees of a particular species. Wherever diameter was reported, we assumed it was DBH. We standardized health and condition data across cities, preserving the highest granularity available for each city. For our analysis, we converted this variable to a binary (see section Condition and Health). We created a column called “location_type” to label whether a given tree was growing in the built environment or in green space. All of the changes we made, and decision points, are preserved in Data S9. Third, we checked the scientific names reported using gnr_resolve in the R library taxize (Chamberlain & Szöcs, 2013), with the option Best_match_only set to TRUE (Data S9). Through an iterative process, we manually checked the results and corrected typos in the scientific names until all names were either a perfect match (n=1771 species) or partial match with threshold greater than 0.75 (n=453 species). BGS manually reviewed all partial matches to ensure that they were the correct species name, and then we programmatically corrected these partial matches (for example, Magnolia grandifolia-- which is not a species name of a known tree-- was corrected to Magnolia grandiflora, and Pheonix canariensus was corrected to its proper spelling of Phoenix canariensis). Because many of these tree inventories were crowd-sourced or generated in part through citizen science, such typos and misspellings are to be expected. Some tree inventories reported species by common names only. Therefore, our fourth step in data cleaning was to convert common names to scientific names. We generated a lookup table by summarizing all pairings of common and scientific names in the inventories for which both were reported. We manually reviewed the common to scientific name pairings, confirming that all were correct. Then we programmatically assigned scientific names to all common names (Data S9). Fifth, we assigned native status to each tree through reference to the Biota of North America Project (Kartesz, 2018), which has collected data on all native and non-native species occurrences throughout the US states. Specifically, we determined whether each tree species in a given city was native to that state, not native to that state, or that we did not have enough information to determine nativity (for cases where only the genus was known). Sixth, some cities reported only the street address but not latitude and longitude. For these cities, we used the OpenCageGeocoder (https://opencagedata.com/) to convert addresses to latitude and longitude coordinates (Data S9). OpenCageGeocoder leverages open data and is used by many academic institutions (see https://opencagedata.com/solutions/academia). Seventh, we trimmed each city dataset to include only the standardized columns we identified in Table S4. After each stage of data cleaning, we performed manual spot checking to identify any issues.

  15. o

    US Cities: Demographics

    • public.opendatasoft.com
    • data.smartidf.services
    • +2more
    csv, excel, json
    Updated Jul 27, 2017
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    (2017). US Cities: Demographics [Dataset]. https://public.opendatasoft.com/explore/dataset/us-cities-demographics/
    Explore at:
    excel, csv, jsonAvailable download formats
    Dataset updated
    Jul 27, 2017
    License

    https://en.wikipedia.org/wiki/Public_domainhttps://en.wikipedia.org/wiki/Public_domain

    Area covered
    United States
    Description

    This dataset contains information about the demographics of all US cities and census-designated places with a population greater or equal to 65,000. This data comes from the US Census Bureau's 2015 American Community Survey. This product uses the Census Bureau Data API but is not endorsed or certified by the Census Bureau.

  16. Sunniest major cities in the United States

    • statista.com
    Updated Dec 31, 2004
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    Statista (2004). Sunniest major cities in the United States [Dataset]. https://www.statista.com/statistics/226738/sunniest-major-cities-in-the-united-states/
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    Dataset updated
    Dec 31, 2004
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic shows major cities in the United States that have the highest average percentage of sunshine per day. Los Angeles in California has sunshine for an average of 73 percent of the day. Phoenix has an average of 85 percent sunshine per day.

  17. Number of U.S. cities, towns, villages by population size 2019

    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). Number of U.S. cities, towns, villages by population size 2019 [Dataset]. https://www.statista.com/statistics/241695/number-of-us-cities-towns-villages-by-population-size/
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    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.

  18. Largest cities in Latin America by population 2025

    • statista.com
    Updated Apr 8, 2025
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    Statista (2025). Largest cities in Latin America by population 2025 [Dataset]. https://www.statista.com/statistics/1374285/largest-metropolitan-areas-in-latam/
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    Dataset updated
    Apr 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2025
    Area covered
    Latin America, LAC
    Description

    In 2025, approximately 23 million people lived in the São Paulo metropolitan area, making it the biggest in Latin America and the Caribbean and the sixth most populated in the world. The homonymous state of São Paulo was also the most populous federal entity in the country. The second place for the region was Mexico City with 22.75 million inhabitants. Brazil's cities Brazil is home to two large metropolises, only counting the population within the city limits, São Paulo had approximately 11.45 million inhabitants, and Rio de Janeiro around 6.21 million inhabitants. It also contains a number of smaller, but well known cities such as Brasília, Salvador, Belo Horizonte and many others, which report between 2 and 3 million inhabitants each. As a result, the country's population is primarily urban, with nearly 88 percent of inhabitants living in cities. Mexico City Mexico City's metropolitan area ranks sevenths in the ranking of most populated cities in the world. Founded over the Aztec city of Tenochtitlan in 1521 after the Spanish conquest as the capital of the Viceroyalty of New Spain, the city still stands as one of the most important in Latin America. Nevertheless, the preeminent economic, political, and cultural position of Mexico City has not prevented the metropolis from suffering the problems affecting the rest of the country, namely, inequality and violence. Only in 2023, the city registered a crime incidence of 52,723 reported cases for every 100,000 inhabitants and around 24 percent of the population lived under the poverty line.

  19. N

    cities in Colonial Heights city Ranked by Black Population // 2025 Edition

    • neilsberg.com
    csv, json
    Updated Jan 24, 2025
    + more versions
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    Neilsberg Research (2025). cities in Colonial Heights city Ranked by Black Population // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/lists/cities-in-colonial-heights-city-va-by-black-population/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jan 24, 2025
    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
    Colonial Heights, Virginia
    Variables measured
    Black Population, Black Population as Percent of Total Black Population of Colonial Heights city, VA, Black Population as Percent of Total Population of cities in Colonial Heights city, VA
    Measurement technique
    To measure the rank and respective trends, we initially gathered data from the five most recent American Community Survey (ACS) 5-Year Estimates. We then analyzed and categorized the data for each of the racial categories identified by the U.S. Census Bureau. Based on the required racial category classification, we calculated the rank. For geographies with no population reported for the chosen race, we did not assign a rank and excluded them from the list. It is possible that a small population exists but was not reported or captured due to limitations or variations in Census data collection and reporting. We ensured that the population estimates used in this dataset pertain exclusively to the identified racial categories and do not rely on any ethnicity classification, unless explicitly required.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

    This list ranks the 1 cities in the Colonial Heights city, VA by Black or African American population, as estimated by the United States Census Bureau. It also highlights population changes in each cities over the past five years.

    Content

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

    • 2019-2023 American Community Survey 5-Year Estimates
    • 2018-2022 American Community Survey 5-Year Estimates
    • 2017-2021 American Community Survey 5-Year Estimates
    • 2016-2020 American Community Survey 5-Year Estimates
    • 2015-2019 American Community Survey 5-Year Estimates

    Variables / Data Columns

    • Rank by Black Population: This column displays the rank of cities in the Colonial Heights city, VA by their Black or African American population, using the most recent ACS data available.
    • cities: The cities for which the rank is shown in the previous column.
    • Black Population: The Black population of the cities is shown in this column.
    • % of Total cities Population: This shows what percentage of the total cities population identifies as Black. Please note that the sum of all percentages may not equal one due to rounding of values.
    • % of Total Colonial Heights city Black Population: This tells us how much of the entire Colonial Heights city, VA Black population lives in that cities. Please note that the sum of all percentages may not equal one due to rounding of values.
    • 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

    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/.

  20. Big Cities Morbidity Rates

    • johnsnowlabs.com
    csv
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    John Snow Labs, Big Cities Morbidity Rates [Dataset]. https://www.johnsnowlabs.com/marketplace/big-cities-morbidity-rates/
    Explore at:
    csvAvailable download formats
    Dataset authored and provided by
    John Snow Labs
    Time period covered
    2010 - 2018
    Area covered
    United States
    Description

    This dataset contains estimates of morbidity rates for the major infections causes and elevated lead levels in blood among children, shared by the Big Cities Health Coalition members represented by the largest metropolitan health departments in the United States. The estimated values morbidity rates cover the 2010-2018 period and are described by sex and race/ethnicity.

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US Department of Agriculture (USDA) (2018). US Major Cities (State) [Dataset]. https://koordinates.com/layer/12239-us-major-cities-state/

US Major Cities (State)

Explore at:
kml, geodatabase, mapinfo tab, csv, mapinfo mif, dwg, geopackage / sqlite, shapefile, pdfAvailable download formats
Dataset updated
Aug 30, 2018
Dataset authored and provided by
US Department of Agriculture (USDA)
Area covered
Description

Geospatial data about US Major Cities (State). Export to CAD, GIS, PDF, CSV and access via API.

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