100+ datasets found
  1. U

    United States US: Population: Male: Ages 50-54: % of Male Population

    • ceicdata.com
    Updated Oct 15, 2025
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    CEICdata.com (2025). United States US: Population: Male: Ages 50-54: % of Male Population [Dataset]. https://www.ceicdata.com/en/united-states/population-and-urbanization-statistics/us-population-male-ages-5054--of-male-population
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    Dataset updated
    Oct 15, 2025
    Dataset provided by
    CEICdata.com
    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: Male: Ages 50-54: % of Male Population data was reported at 6.741 % in 2017. This records a decrease from the previous number of 6.885 % for 2016. United States US: Population: Male: Ages 50-54: % of Male Population data is updated yearly, averaging 5.415 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 7.196 % in 2011 and a record low of 4.426 % in 1986. United States US: Population: Male: Ages 50-54: % of Male 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: Population and Urbanization Statistics. Male population between the ages 50 to 54 as a percentage of the total male population.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; ;

  2. NCHS - Natality Measures for Females by Hispanic Origin Subgroup: United...

    • catalog.data.gov
    • data.virginia.gov
    • +5more
    Updated Mar 12, 2022
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    Centers for Disease Control and Prevention (2022). NCHS - Natality Measures for Females by Hispanic Origin Subgroup: United States [Dataset]. https://catalog.data.gov/dataset/nchs-natality-measures-for-females-by-hispanic-origin-subgroup-united-states
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    Dataset updated
    Mar 12, 2022
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Area covered
    United States
    Description

    This dataset includes live births, birth rates, and fertility rates by Hispanic origin of mother in the United States since 1989. National data on births by Hispanic origin exclude data for Louisiana, New Hampshire, and Oklahoma in 1989; New Hampshire and Oklahoma in 1990; and New Hampshire in 1991 and 1992. Birth and fertility rates for the Central and South American population includes other and unknown Hispanic. Information on reporting Hispanic origin is detailed in the Technical Appendix for the 1999 public-use natality data file (see ftp://ftp.cdc.gov/pub/Health_Statistics/NCHS/Dataset_Documentation/DVS/natality/Nat1999doc.pdf). SOURCES NCHS, National Vital Statistics System, birth data (see https://www.cdc.gov/nchs/births.htm); public-use data files (see https://www.cdc.gov/nchs/data_access/VitalStatsOnline.htm); and CDC WONDER (see http://wonder.cdc.gov/). REFERENCES National Office of Vital Statistics. Vital Statistics of the United States, 1950, Volume I. 1954. Available from: https://www.cdc.gov/nchs/data/vsus/vsus_1950_1.pdf. Hetzel AM. U.S. vital statistics system: major activities and developments, 1950-95. National Center for Health Statistics. 1997. Available from: https://www.cdc.gov/nchs/data/misc/usvss.pdf. National Center for Health Statistics. Vital Statistics of the United States, 1967, Volume I–Natality. 1969. Available from: https://www.cdc.gov/nchs/data/vsus/nat67_1.pdf. Martin JA, Hamilton BE, Osterman MJK, et al. Births: Final data for 2015. National vital statistics reports; vol 66 no 1. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_01.pdf. Martin JA, Hamilton BE, Osterman MJK, Driscoll AK, Drake P. Births: Final data for 2016. National Vital Statistics Reports; vol 67 no 1. Hyattsville, MD: National Center for Health Statistics. 2018. Available from: https://www.cdc.gov/nvsr/nvsr67/nvsr67_01.pdf. Martin JA, Hamilton BE, Osterman MJK, Driscoll AK, Births: Final data for 2018. National vital statistics reports; vol 68 no 13. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_13.pdf.

  3. Statistics Reported by Banks and Other Financial Firms in the United States

    • catalog.data.gov
    • s.cnmilf.com
    Updated Dec 18, 2024
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    Board of Governors of the Federal Reserve System (2024). Statistics Reported by Banks and Other Financial Firms in the United States [Dataset]. https://catalog.data.gov/dataset/statistics-reported-by-banks-and-other-financial-firms-in-the-united-states
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    Dataset updated
    Dec 18, 2024
    Dataset provided by
    Federal Reserve Systemhttp://www.federalreserve.gov/
    Federal Reserve Board of Governors
    Area covered
    United States
    Description

    Data were previously published in the Supplement to the Federal Reserve Bulletin, which ceased publication in December 2008. These tables will be discontinued with the final table released in April 2022. The source for these data is the Treasury International Capital System and future data publications can be found on Treasury’s website.

  4. U

    United States US: Age Dependency Ratio: % of Working-Age Population: Young

    • ceicdata.com
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    CEICdata.com, United States US: Age Dependency Ratio: % of Working-Age Population: Young [Dataset]. https://www.ceicdata.com/en/united-states/population-and-urbanization-statistics/us-age-dependency-ratio--of-workingage-population-young
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    Dataset provided by
    CEICdata.com
    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: Age Dependency Ratio: % of Working-Age Population: Young data was reported at 28.799 % in 2017. This records a decrease from the previous number of 28.857 % for 2016. United States US: Age Dependency Ratio: % of Working-Age Population: Young data is updated yearly, averaging 33.422 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 51.329 % in 1961 and a record low of 28.799 % in 2017. United States US: Age Dependency Ratio: % of Working-Age Population: Young data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Population and Urbanization Statistics. Age dependency ratio, young, is the ratio of younger dependents--people younger than 15--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population.; ; World Bank staff estimates based on age distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; Weighted average;

  5. U.S. Facebook users 2025, by age and gender

    • statista.com
    • abripper.com
    Updated Nov 25, 2025
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    Statista (2025). U.S. Facebook users 2025, by age and gender [Dataset]. https://www.statista.com/statistics/187041/us-user-age-distribution-on-facebook/
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    Dataset updated
    Nov 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2025
    Area covered
    United States
    Description

    As of October 2025, users aged 25 to 34 years made up Facebook's largest audience in the United States, accounting for **** percent of the social network's user base, with **** percent of those users being women. Overall, *** percent of users aged 35 to 44 years were women, and *** percent were men. How many people use Facebook in the United States? ******** is by far the most used social network in the world and finds a huge share of its audience in ****************** Facebook’s U.S. audience size comes second only to India. In 2023, there were over *** million Facebook users in the U.S. By 2028, it is estimated that around *** million people in the U.S. will be signed up for the platform. How do users in the United States view the platform? Although Facebook is widely used and very popular with U.S. consumers, there are issues of trust with its North American audience. As of November 2021, ** percent of respondents reported that they did not trust Facebook with their personal data. Despite having privacy doubts, a May 2022 survey found that ** percent of adults had a very favorable opinion of Facebook, and one-third held a somewhat positive view of the platform.

  6. Hydrographic and Impairment Statistics Database: THRB

    • catalog.data.gov
    • datasets.ai
    Updated Nov 25, 2025
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    National Park Service (2025). Hydrographic and Impairment Statistics Database: THRB [Dataset]. https://catalog.data.gov/dataset/hydrographic-and-impairment-statistics-database-thrb
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    Dataset updated
    Nov 25, 2025
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Description

    Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).

  7. Estimates of Emergency Department Visits in the United States from 2016-2022...

    • catalog.data.gov
    • data.virginia.gov
    • +2more
    Updated Apr 23, 2025
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    Centers for Disease Control and Prevention (2025). Estimates of Emergency Department Visits in the United States from 2016-2022 [Dataset]. https://catalog.data.gov/dataset/estimates-of-emergency-department-visits-in-the-united-states-from-2016-2019-faa2a
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    Dataset updated
    Apr 23, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Area covered
    United States
    Description

    The National Hospital Ambulatory Medical Care Survey (NHAMCS), conducted by the National Center for Health Statistics (NCHS), collects annual data on visits to emergency departments to describe patterns of utilization and provision of ambulatory care delivery in the United States. Data are collected from nonfederal, general, and short-stay hospitals from all 50 U.S. states and the District of Columbia, and are used to develop nationally representative estimates. The data include counts and rates of emergency department visits from 2016-2022 for the 10 leading primary diagnoses and reasons for visit, stratified by selected patient and hospital characteristics. Rankings for the 10 leading categories were identified using weighted data from 2022 and were then assessed in prior years.

  8. X/Twitter: usage reach in the United States 2025, by age group

    • statista.com
    Updated Nov 25, 2025
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    Statista (2025). X/Twitter: usage reach in the United States 2025, by age group [Dataset]. https://www.statista.com/statistics/265647/share-of-us-internet-users-who-use-twitter-by-age-group/
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    Dataset updated
    Nov 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 5, 2025 - Jun 18, 2025
    Area covered
    United States
    Description

    As of June 2025, it was found that 33 percent of adults in the United States aged between 18 and 29 years used X (formerly Twitter). This age group was the microblogging service’s biggest audience in the United States, followed by a 25 percent usage reach among 30- to 49-year-olds. X users in the United States As of the first quarter of 2019, X had 68 million monthly active users in the United States. In the fourth quarter of 2020, the number of monetizable daily active X users in the country amounted to 37 million. As of February 2025, 63 percent of U.S. X audiences were male and 37 percent were female. According to a February 2019 survey of social media users in the United States, X was the most popular social network for news consumption. X usage in the United States X is popular among users looking to catch up and chime in on current and trending topics and live-tweet about events and media. Live-tweeting television series or sporting events is a popular user activity, and in 2018, the most popular television series based on average number of X interactions per episode was ABC’s ‘The Bachelor.’ In terms of global sporting events, it does not get much bigger than the Olympic Games. During the Winter Olympics in PyeongChang 2018, X accounted for 50 percent of stakeholder posts during the winter.

  9. U

    United States US: Improved Sanitation Facilities: Urban: % of Urban...

    • ceicdata.com
    Updated Mar 29, 2018
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    CEICdata.com (2018). United States US: Improved Sanitation Facilities: Urban: % of Urban Population with Access [Dataset]. https://www.ceicdata.com/en/united-states/health-statistics
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    Dataset updated
    Mar 29, 2018
    Dataset provided by
    CEICdata.com
    License

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

    Area covered
    United States
    Variables measured
    undefined
    Description

    US: Improved Sanitation Facilities: Urban: % of Urban Population with Access data was reported at 100.000 % in 2015. This stayed constant from the previous number of 100.000 % for 2014. US: Improved Sanitation Facilities: Urban: % of Urban Population with Access data is updated yearly, averaging 99.900 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 100.000 % in 2015 and a record low of 99.800 % in 1996. US: Improved Sanitation Facilities: Urban: % of Urban Population with Access 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: Health Statistics. Access to improved sanitation facilities, urban, refers to the percentage of the urban population using improved sanitation facilities. Improved sanitation facilities are likely to ensure hygienic separation of human excreta from human contact. They include flush/pour flush (to piped sewer system, septic tank, pit latrine), ventilated improved pit (VIP) latrine, pit latrine with slab, and composting toilet.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted average;

  10. Number of families in the US by number of children 2000-2023

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Number of families in the US by number of children 2000-2023 [Dataset]. https://www.statista.com/statistics/183790/number-of-families-in-the-us-by-number-of-children/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Around *** million families in the United States had three or more children under 18 living in the household in 2023. In that same year, about ***** million households had no children under 18 living in the household.

  11. NCHS - Top Five Leading Causes of Death: United States, 1990, 1950, 2000

    • catalog.data.gov
    • data.virginia.gov
    • +6more
    Updated Apr 23, 2025
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    Centers for Disease Control and Prevention (2025). NCHS - Top Five Leading Causes of Death: United States, 1990, 1950, 2000 [Dataset]. https://catalog.data.gov/dataset/nchs-top-five-leading-causes-of-death-united-states-1990-1950-2000
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    Dataset updated
    Apr 23, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Area covered
    United States
    Description

    This dataset contains information on the number of deaths and age-adjusted death rates for the five leading causes of death in 1900, 1950, and 2000. Age-adjusted death rates (deaths per 100,000) after 1998 are calculated based on the 2000 U.S. standard population. Populations used for computing death rates for 2011–2017 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years between 2000 and 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Data on age-adjusted death rates prior to 1999 are taken from historical data (see References below). SOURCES CDC/NCHS, National Vital Statistics System, historical data, 1900-1998 (see https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm); CDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov). REFERENCES National Center for Health Statistics, Data Warehouse. Comparability of cause-of-death between ICD revisions. 2008. Available from: http://www.cdc.gov/nchs/nvss/mortality/comparability_icd.htm. National Center for Health Statistics. Vital statistics data available. Mortality multiple cause files. Hyattsville, MD: National Center for Health Statistics. Available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm. Kochanek KD, Murphy SL, Xu JQ, Arias E. Deaths: Final data for 2017. National Vital Statistics Reports; vol 68 no 9. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_09-508.pdf. Arias E, Xu JQ. United States life tables, 2017. National Vital Statistics Reports; vol 68 no 7. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_07-508.pdf. National Center for Health Statistics. Historical Data, 1900-1998. 2009. Available from: https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm.

  12. United States COVID-19 Community Levels by County

    • healthdata.gov
    • data.virginia.gov
    • +2more
    csv, xlsx, xml
    Updated Mar 8, 2022
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    data.cdc.gov (2022). United States COVID-19 Community Levels by County [Dataset]. https://healthdata.gov/CDC/United-States-COVID-19-Community-Levels-by-County/nn5b-j5u9
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    csv, xml, xlsxAvailable download formats
    Dataset updated
    Mar 8, 2022
    Dataset provided by
    data.cdc.gov
    Area covered
    United States
    Description

    Reporting of Aggregate Case and Death Count data was discontinued May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. Although these data will continue to be publicly available, this dataset will no longer be updated.

    This archived public use dataset has 11 data elements reflecting United States COVID-19 community levels for all available counties.

    The COVID-19 community levels were developed using a combination of three metrics — new COVID-19 admissions per 100,000 population in the past 7 days, the percent of staffed inpatient beds occupied by COVID-19 patients, and total new COVID-19 cases per 100,000 population in the past 7 days. The COVID-19 community level was determined by the higher of the new admissions and inpatient beds metrics, based on the current level of new cases per 100,000 population in the past 7 days. New COVID-19 admissions and the percent of staffed inpatient beds occupied represent the current potential for strain on the health system. Data on new cases acts as an early warning indicator of potential increases in health system strain in the event of a COVID-19 surge.

    Using these data, the COVID-19 community level was classified as low, medium, or high.

    COVID-19 Community Levels were used to help communities and individuals make decisions based on their local context and their unique needs. Community vaccination coverage and other local information, like early alerts from surveillance, such as through wastewater or the number of emergency department visits for COVID-19, when available, can also inform decision making for health officials and individuals.

    For the most accurate and up-to-date data for any county or state, visit the relevant health department website. COVID Data Tracker may display data that differ from state and local websites. This can be due to differences in how data were collected, how metrics were calculated, or the timing of web updates.

    Archived Data Notes:

    This dataset was renamed from "United States COVID-19 Community Levels by County as Originally Posted" to "United States COVID-19 Community Levels by County" on March 31, 2022.

    March 31, 2022: Column name for county population was changed to “county_population”. No change was made to the data points previous released.

    March 31, 2022: New column, “health_service_area_population”, was added to the dataset to denote the total population in the designated Health Service Area based on 2019 Census estimate.

    March 31, 2022: FIPS codes for territories American Samoa, Guam, Commonwealth of the Northern Mariana Islands, and United States Virgin Islands were re-formatted to 5-digit numeric for records released on 3/3/2022 to be consistent with other records in the dataset.

    March 31, 2022: Changes were made to the text fields in variables “county”, “state”, and “health_service_area” so the formats are consistent across releases.

    March 31, 2022: The “%” sign was removed from the text field in column “covid_inpatient_bed_utilization”. No change was made to the data. As indicated in the column description, values in this column represent the percentage of staffed inpatient beds occupied by COVID-19 patients (7-day average).

    March 31, 2022: Data values for columns, “county_population”, “health_service_area_number”, and “health_service_area” were backfilled for records released on 2/24/2022. These columns were added since the week of 3/3/2022, thus the values were previously missing for records released the week prior.

    April 7, 2022: Updates made to data released on 3/24/2022 for Guam, Commonwealth of the Northern Mariana Islands, and United States Virgin Islands to correct a data mapping error.

    April 21, 2022: COVID-19 Community Level (CCL) data released for counties in Nebraska for the week of April 21, 2022 have 3 counties identified in the high category and 37 in the medium category. CDC has been working with state officials t

  13. United States Crime Rates By City Population

    • kaggle.com
    zip
    Updated Dec 28, 2022
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    kabhishm (2022). United States Crime Rates By City Population [Dataset]. https://www.kaggle.com/datasets/kabhishm/united-states-crime-rates-by-city-population
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    zip(40122 bytes)Available download formats
    Dataset updated
    Dec 28, 2022
    Authors
    kabhishm
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    United States
    Description

    The following datasets contain the crime rate for cities in the United States. The four datasets are separated based on population ranges.

    FILE DESCRIPTION

    File names: - 'crime_40 _60.csv': dataset for population ranging from 40,000 to 60,000. - 'crime_60 _100.csv': dataset for population ranging from 60,000 to 100,000. - 'crime_100 _250.csv': dataset for population ranging from 100,000 to 250,000. - 'crime_250 _plus.csv': dataset for population greater than 250,000.

    COLUMN DESCRIPTION

    For file: crime_40 _60.csv: - 'states': name of the state - 'cities': name of the city - 'population': population of the city - 'violent_crime': violent crime - 'murder': murder and nonnegligent manslaughter - 'rape': forcible rape - 'robbery': robbery - 'agrv_ The following datasets contain the crime rate for cities in the United States. The four datasets are separated based on population ranges.

    FILE DESCRIPTION

    File names: - 'crime_40 _60.csv': dataset for population ranging from 40,000 to 60,000. - 'crime_60 _100.csv': dataset for population ranging from 60,000 to 100,000. - 'crime_100 _250.csv': dataset for population ranging from 100,000 to 250,000. - 'crime_250 _plus.csv': dataset for population greater than 250,000.

    COLUMN DESCRIPTION

    For file: crime_40 _60.csv: - 'states': name of the state - 'cities': name of the city - 'population': population of the city - 'violent_crime': violent crime - 'murder': murder and nonnegligent manslaughter - 'rape': forcible rape - 'robbery': robbery - 'agrv_ assault': agrv_ assault - 'prop_crime': property crime - 'burglary': burglary - 'larceny': larceny theft - 'vehicle_theft': motor vehicle theft

    crime_60 _100.csv: - 'states': name of the state - 'cities': name of the city - 'population': population of the city - 'violent_crime': violent crime - 'murder': murder and nonnegligent manslaughter - 'rape': forcible rape - 'robbery': robbery - 'agrv_ assault': agrv_ assault - 'prop_crime': property crime - 'burglary': burglary - 'larceny': larceny theft - 'vehicle_theft': motor vehicle theft

    crime_100 _250.csv: - 'states': name of the state - 'cities': name of the city - 'population': population of the city - 'violent_crime': violent crime - 'murder': murder and nonnegligent manslaughter - 'rape': forcible rape - 'robbery': robbery - 'agrv_ assault': agrv_ assault - 'prop_crime': property crime - 'burglary': burglary - 'larceny': larceny theft - 'vehicle_theft': motor vehicle theft

    crime_250 _plus.csv: - 'states': name of the state - 'cities': name of the city - 'population': population of the city - 'total_crime': total crime - 'murder': murder and nonnegligent manslaughter - 'rape': forcible rape - 'robbery': robbery - 'agrv_ assault': agrv_ assault - 'total_violent _crime': total violent crime - 'prop_crime': property crime - 'burglary': burglary - 'larceny': larceny theft - 'vehicle_theft': motor vehicle theft - 'tot_prop _crime': total property crime - 'arson': arson

    Photo by David von Diemar on Unsplash

  14. U

    United States US: Population: as % of Total: Female: Aged 65 and Above

    • ceicdata.com
    + more versions
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    CEICdata.com, United States US: Population: as % of Total: Female: Aged 65 and Above [Dataset]. https://www.ceicdata.com/en/united-states/population-and-urbanization-statistics/us-population-as--of-total-female-aged-65-and-above
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    Dataset provided by
    CEICdata.com
    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: as % of Total: Female: Aged 65 and Above data was reported at 16.925 % in 2017. This records an increase from the previous number of 16.550 % for 2016. United States US: Population: as % of Total: Female: Aged 65 and Above data is updated yearly, averaging 14.035 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 16.925 % in 2017 and a record low of 10.023 % in 1960. United States US: Population: as % of Total: Female: Aged 65 and Above 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: Population and Urbanization Statistics. Female population 65 years of age or older as a percentage of the total female population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; Weighted average; Relevance to gender indicator: Knowing how many girls, adolescents and women there are in a population helps a country in determining its provision of services.

  15. Gambling participation rates in the U.S. 2019-2024

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). Gambling participation rates in the U.S. 2019-2024 [Dataset]. https://www.statista.com/statistics/1485497/gambling-participation-us/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 31, 2024 - Aug 9, 2024
    Area covered
    United States
    Description

    During a 2024 survey, it was found that ** percent of adults in the United States had participated in gambling in the past year. This was an increase of *** percent over the previous year.

  16. U.S. median household income 2024, by race and ethnicity

    • statista.com
    Updated Jul 14, 2025
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    Abigail Tierney (2025). U.S. median household income 2024, by race and ethnicity [Dataset]. https://www.statista.com/topics/789/wages-and-salary/
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    Dataset updated
    Jul 14, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Abigail Tierney
    Area covered
    United States
    Description

    Asian households measured the highest median household income among racial and ethnic groups in the United States. In 2024, Asian household incomes reached a median of 121,700 U.S. dollars. On the other hand, Black households had the lowest median income of 56,020 U.S. dollars. Overall, median household incomes in the United States stood at 83,730 U.S. dollars that year.Asian and Caucasian (white not Hispanic) households had relatively high median incomes, while the median income of Hispanic, African American, American Indian, and Alaskan Native households all came in lower than the national median. A number of related statistics illustrate further the current state of racial inequality in the United States. Unemployment is highest among Black or African American individuals in the U.S. nearing nine percent unemployed, according to the Bureau of Labor Statistics in 2024. Hispanic individuals (of any race) were most likely to go without health insurance as of 2024.

  17. Hydrographic and Impairment Statistics Database: DELA

    • catalog.data.gov
    • gimi9.com
    • +1more
    Updated Nov 25, 2025
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    National Park Service (2025). Hydrographic and Impairment Statistics Database: DELA [Dataset]. https://catalog.data.gov/dataset/hydrographic-and-impairment-statistics-database-dela
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    Dataset updated
    Nov 25, 2025
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Description

    Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).

  18. Reported violent crime rate in the U.S. 1990-2023

    • statista.com
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    Statista, Reported violent crime rate in the U.S. 1990-2023 [Dataset]. https://www.statista.com/statistics/191219/reported-violent-crime-rate-in-the-usa-since-1990/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, the violent crime rate in the United States was 363.8 cases per 100,000 of the population. Even though the violent crime rate has been decreasing since 1990, the United States tops the ranking of countries with the most prisoners. In addition, due to the FBI's transition to a new crime reporting system in which law enforcement agencies voluntarily submit crime reports, data may not accurately reflect the total number of crimes committed in recent years. Reported violent crime rate in the United States The United States Federal Bureau of Investigation tracks the rate of reported violent crimes per 100,000 U.S. inhabitants. In the timeline above, rates are shown starting in 1990. The rate of reported violent crime has fallen since a high of 758.20 reported crimes in 1991 to a low of 363.6 reported violent crimes in 2014. In 2023, there were around 1.22 million violent crimes reported to the FBI in the United States. This number can be compared to the total number of property crimes, roughly 6.41 million that year. Of violent crimes in 2023, aggravated assaults were the most common offenses in the United States, while homicide offenses were the least common. Law enforcement officers and crime clearance Though the violent crime rate was down in 2013, the number of law enforcement officers also fell. Between 2005 and 2009, the number of law enforcement officers in the United States rose from around 673,100 to 708,800. However, since 2009, the number of officers fell to a low of 626,900 officers in 2013. The number of law enforcement officers has since grown, reaching 720,652 in 2023. In 2023, the crime clearance rate in the U.S. was highest for murder and non-negligent manslaughter charges, with around 57.8 percent of murders being solved by investigators and a suspect being charged with the crime. Additionally, roughly 46.1 percent of aggravated assaults were cleared in that year. A statistics report on violent crime in the U.S. can be found here.

  19. U

    United States Employment: Male: Age 25 & Over

    • ceicdata.com
    + more versions
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    CEICdata.com, United States Employment: Male: Age 25 & Over [Dataset]. https://www.ceicdata.com/en/united-states/current-population-survey-employment/employment-male-age-25--over
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    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    May 1, 2017 - Apr 1, 2018
    Area covered
    United States
    Variables measured
    Employment
    Description

    United States Employment: Male: Age 25 & Over data was reported at 73,087.000 Person th in Jun 2018. This records a decrease from the previous number of 73,489.000 Person th for May 2018. United States Employment: Male: Age 25 & Over data is updated monthly, averaging 46,443.000 Person th from Jan 1948 (Median) to Jun 2018, with 846 observations. The data reached an all-time high of 73,489.000 Person th in May 2018 and a record low of 34,060.000 Person th in Feb 1950. United States Employment: Male: Age 25 & Over data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G013: Current Population Survey: Employment.

  20. Consumption of frozen cakes / muffins / pastries / pies in the U.S....

    • statista.com
    Updated Nov 15, 2020
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    Statista (2020). Consumption of frozen cakes / muffins / pastries / pies in the U.S. 2012-2024 [Dataset]. https://www.statista.com/statistics/281824/us-households-consumption-of-frozen-cakes-muffins-pastries-pies-trend/
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    Dataset updated
    Nov 15, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic shows the consumption of frozen cakes / muffins / pastries / pies in the United States from 2012 to 2020 and a forecast thereof until 2024. The data has been calculated by Statista based on the U.S. Census data and Simmons National Consumer Survey (NHCS). According to this statistic, ****** million Americans consumed frozen cakes / muffins / pastries / pies in 2020. This figure is projected to increase to ****** million in 2024.

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CEICdata.com (2025). United States US: Population: Male: Ages 50-54: % of Male Population [Dataset]. https://www.ceicdata.com/en/united-states/population-and-urbanization-statistics/us-population-male-ages-5054--of-male-population

United States US: Population: Male: Ages 50-54: % of Male Population

Explore at:
Dataset updated
Oct 15, 2025
Dataset provided by
CEICdata.com
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: Male: Ages 50-54: % of Male Population data was reported at 6.741 % in 2017. This records a decrease from the previous number of 6.885 % for 2016. United States US: Population: Male: Ages 50-54: % of Male Population data is updated yearly, averaging 5.415 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 7.196 % in 2011 and a record low of 4.426 % in 1986. United States US: Population: Male: Ages 50-54: % of Male 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: Population and Urbanization Statistics. Male population between the ages 50 to 54 as a percentage of the total male population.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; ;

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