100+ datasets found
  1. Healthy People 2020 Final Progress Table

    • catalog.data.gov
    • healthdata.gov
    • +3more
    Updated Apr 23, 2025
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    Centers for Disease Control and Prevention (2025). Healthy People 2020 Final Progress Table [Dataset]. https://catalog.data.gov/dataset/healthy-people-2020-final-progress-table-eef88
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    Dataset updated
    Apr 23, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    [1] Status is determined using the baseline, final, and target value. The statuses used in Healthy People 2020 were: 1 - Target met or exceeded—One of the following applies: (i) At baseline, the target was not met or exceeded, and the most recent value was equal to or exceeded the target. (The percentage of targeted change achieved was equal to or greater than 100%.); (ii) The baseline and most recent values were equal to or exceeded the target. (The percentage of targeted change achieved was not assessed.) 2 - Improved—One of the following applies: (i) Movement was toward the target, standard errors were available, and the percentage of targeted change achieved was statistically significant; (ii) Movement was toward the target, standard errors were not available, and the objective had achieved 10% or more of the targeted change. 3 - Little or no detectable change—One of the following applies: (i) Movement was toward the target, standard errors were available, and the percentage of targeted change achieved was not statistically significant; (ii) Movement was toward the target, standard errors were not available, and the objective had achieved less than 10% of the targeted change; (iii) Movement was away from the baseline and target, standard errors were available, and the percent change relative to the baseline was not statistically significant; (iv) Movement was away from the baseline and target, standard errors were not available, and the objective had moved less than 10% relative to the baseline; (v) No change was observed between the baseline and the final data point. 4 - Got worse—One of the following applies: (i) Movement was away from the baseline and target, standard errors were available, and the percent change relative to the baseline was statistically significant; (ii) Movement was away from the baseline and target, standard errors were not available, and the objective had moved 10% or more relative to the baseline. 5 - Baseline only—The objective only had one data point, so progress toward target attainment could not be assessed. Note that if additional data points did not meet the criteria for statistical reliability, data quality, or confidentiality, the objective was categorized as baseline only. 6 - Informational—A target was not set for this objective, so progress toward target attainment could not be assessed. [2] The final value is generally based on data available on the Healthy People 2020 website as of January 2020. For objectives that are continuing into Healthy People 2030, more recent data are available on the Healthy People 2030 website: https://health.gov/healthypeople. [3] For objectives that moved toward their targets, movement toward the target was measured as the percentage of targeted change achieved (unless the target was already met or exceeded at baseline): Percentage of targeted change achieved = (Final value - Baseline value) / (HP2020 target - Baseline value) * 100 [4] For objectives that were not improving, did not meet or exceed their targets, and did not move towards their targets, movement away from the baseline was measured as the magnitude of the percent change from baseline: Magnitude of percent change from baseline = |Final value - Baseline value| / Baseline value * 100 [5] Statistical significance was tested when the objective had a target, at least two data points (of unequal value), and available standard errors of the data. A normal distribution was assumed. All available digits were used to test statistical significance. Statistical significance of the percentage of targeted change achieved or the magnitude of the percentage change from baseline was assessed at the 0.05 level using a normal one-sided test. [6] For more information on the Healthy People 2020 methodology for measuring progress toward target attainment and the elimination of health disparities, see: Healthy People Statistical Notes, no 27; available from: https://www.cdc.gov/nchs/data/sta

  2. Health, United States

    • catalog.data.gov
    • healthdata.gov
    • +3more
    Updated Apr 23, 2025
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    Centers for Disease Control and Prevention (2025). Health, United States [Dataset]. https://catalog.data.gov/dataset/health-united-states-e04e6
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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

    Health, United States is the report on the health status of the country. Every year, the report presents an overview of national health trends organized around four subject areas: health status and determinants, utilization of health resources, health care resources, and health care expenditures and payers.

  3. B

    Belarus BY: Unmet Need for Contraception: % of Married Women Aged 15-49

    • ceicdata.com
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    CEICdata.com, Belarus BY: Unmet Need for Contraception: % of Married Women Aged 15-49 [Dataset]. https://www.ceicdata.com/en/belarus/social-health-statistics
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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, 2012 - Dec 1, 2019
    Area covered
    Belarus
    Description

    BY: Unmet Need for Contraception: % of Married Women Aged 15-49 data was reported at 17.500 % in 2019. This records an increase from the previous number of 7.000 % for 2012. BY: Unmet Need for Contraception: % of Married Women Aged 15-49 data is updated yearly, averaging 12.250 % from Dec 2012 (Median) to 2019, with 2 observations. The data reached an all-time high of 17.500 % in 2019 and a record low of 7.000 % in 2012. BY: Unmet Need for Contraception: % of Married Women Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Belarus – Table BY.World Bank.WDI: Social: Health Statistics. Unmet need for contraception is the percentage of fertile, married women of reproductive age who do not want to become pregnant and are not using contraception.;Household surveys, including Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by United Nations Population Division.;Weighted average;Unmet need for contraception measures the capacity women have in achieving their desired family size and birth spacing. Many couples in developing countries want to limit or postpone childbearing but are not using effective contraception. These couples have an unmet need for contraception. Common reasons are lack of knowledge about contraceptive methods and concerns about possible side effects.

  4. N

    Recognized Shop Healthy Stores

    • data.cityofnewyork.us
    • gimi9.com
    • +2more
    application/rdfxml +5
    Updated Jan 29, 2025
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    Department of Health and Mental Hygiene (2025). Recognized Shop Healthy Stores [Dataset]. https://data.cityofnewyork.us/Health/Recognized-Shop-Healthy-Stores/ud4g-9x9z
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    tsv, csv, json, application/rdfxml, application/rssxml, xmlAvailable download formats
    Dataset updated
    Jan 29, 2025
    Dataset authored and provided by
    Department of Health and Mental Hygiene
    Description

    Bodegas & Grocery Stores Receiving Recognition from Borough President's Office

    Each year, bodegas and grocery stores located in and around Action Center catchment areas participate in the Shop Healthy NYC program's Retail Challenge to increase (1) availability of healthier foods, such as low-sodium canned goods, healthier snacks and deli options; (2) promotion of healthier foods by posting Shop Healthy marketing materials for healthier foods and removing unhealthy advertising from the front door; and (3) visibility of healthier foods by placing them in more prominent locations, such as placing produce at the checkout counter or near the front entrance of the store, and water and other low-calorie drinks at eye-level. Stores that have implemented all of the program’s criteria at the conclusion of the Retail Challenge, and maintain them for at least one month, receive a recognition award from the Borough President's Office to acknowledge their efforts and dedication to make the healthy choice, the easier choice for their communities.

    This is a manually compiled list of stores, which is based on data collected through implementation checklists; these are forms completed by Shop Healthy staff as part of store observations that track whether each criteria has been met. At this time, the program does not have processes in place to ensure that stores maintain the changes past one-month.

  5. D

    DQS NHIS Adult Summary Health Statistics

    • data.cdc.gov
    • data.virginia.gov
    • +1more
    application/rdfxml +5
    Updated Nov 5, 2024
    + more versions
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    NCHS/DHIS (2024). DQS NHIS Adult Summary Health Statistics [Dataset]. https://data.cdc.gov/w/pg2r-sfcx/tdwk-ruhb?cur=dY1Q5jKZFze&from=1p9Vjg3Rc6C
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    xml, json, csv, application/rdfxml, tsv, application/rssxmlAvailable download formats
    Dataset updated
    Nov 5, 2024
    Dataset authored and provided by
    NCHS/DHIS
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Description

    Interactive Summary Health Statistics for Adults provide annual estimates of selected health topics for adults aged 18 years and over based on final data from the National Health Interview Survey. Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.

  6. Food Safety and Public Health Statistics | DATA.GOV.HK

    • data.gov.hk
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    data.gov.hk, Food Safety and Public Health Statistics | DATA.GOV.HK [Dataset]. https://data.gov.hk/en-data/dataset/hk-fehd-fehdstat-foodsafty-publichealth
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    Dataset provided by
    data.gov.hk
    Description

    Food Safety and Public Health Statistics (2021-2024)

  7. b

    Health App Revenue and Usage Statistics (2025)

    • businessofapps.com
    Updated Jun 2, 2023
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    Business of Apps (2023). Health App Revenue and Usage Statistics (2025) [Dataset]. https://www.businessofapps.com/data/health-app-market/
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    Dataset updated
    Jun 2, 2023
    Dataset authored and provided by
    Business of Apps
    License

    Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
    License information was derived automatically

    Description

    Keeping track of your health is, for many people, a continuous task. Monitoring what you eat, how often you exercise and how much water you drink can be time-consuming, fortunately there are tens of...

  8. E

    Population health statistics Norway

    • healthinformationportal.eu
    • www-acc.healthinformationportal.eu
    html
    Updated Sep 7, 2022
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    Statistics Norway (2022). Population health statistics Norway [Dataset]. https://www.healthinformationportal.eu/health-information-sources/statistics-norway
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    htmlAvailable download formats
    Dataset updated
    Sep 7, 2022
    Dataset authored and provided by
    Statistics Norway
    Area covered
    Norway
    Variables measured
    sex, title, topics, country, language, data_owners, description, geo_coverage, contact_email, free_keywords, and 7 more
    Measurement technique
    Population data
    Description

    Multiple indicators on population health statistics are available at the link provided.

  9. B

    Belarus BY: Diarrhea Treatment: % of Children Under 5 Receiving Oral...

    • ceicdata.com
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    CEICdata.com, Belarus BY: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding [Dataset]. https://www.ceicdata.com/en/belarus/social-health-statistics
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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, 2019
    Area covered
    Belarus
    Description

    BY: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding data was reported at 68.200 % in 2019. This records an increase from the previous number of 61.200 % for 2012. BY: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding data is updated yearly, averaging 61.200 % from Dec 2005 (Median) to 2019, with 3 observations. The data reached an all-time high of 68.200 % in 2019 and a record low of 54.000 % in 2005. BY: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Belarus – Table BY.World Bank.WDI: Social: Health Statistics. Children with diarrhea who received oral rehydration and continued feeding refer to the percentage of children under age five with diarrhea in the two weeks prior to the survey who received either oral rehydration therapy or increased fluids, with continued feeding.;UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.;Weighted average;

  10. C

    Public Health Statistics - Selected underlying causes of death in Chicago,...

    • data.cityofchicago.org
    • datasets.ai
    • +1more
    application/rdfxml +5
    Updated Oct 6, 2014
    + more versions
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    Illinois Department of Public Health (IDPH) (2014). Public Health Statistics - Selected underlying causes of death in Chicago, 2006–2010 - Historical [Dataset]. https://data.cityofchicago.org/Health-Human-Services/Public-Health-Statistics-Selected-underlying-cause/j6cj-r444
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    csv, tsv, application/rdfxml, json, application/rssxml, xmlAvailable download formats
    Dataset updated
    Oct 6, 2014
    Dataset authored and provided by
    Illinois Department of Public Health (IDPH)
    Area covered
    Chicago
    Description

    Note: This dataset is historical only and there are not corresponding datasets for more recent time periods. For that more-recent information, please visit the Chicago Health Atlas at https://chicagohealthatlas.org.

    This dataset contains the cumulative number of deaths, average number of deaths annually, average annual crude and adjusted death rates with corresponding 95% confidence intervals, and average annual years of potential life lost per 100,000 residents aged 75 and younger due to selected causes of death, by Chicago community area, for the years 2006 – 2010. A ranking for each measure is also provided, with the highest value indicated with a ranking of 1. See the full description at: https://data.cityofchicago.org/api/views/6vw3-8p6f/files/CqPqfHSv8UUAoXCBjn4_tLqcQHhb36Ih4-meM-4zNzs?download=true&filename=P:\EPI\OEPHI\MATERIALS\REFERENCES\MORTALITY\Dataset_Description_06_10_PORTAL_ONLY.pdf

  11. E

    Mental Health Statistics By Countries, Respondents And Expenditure

    • electroiq.com
    Updated Nov 18, 2024
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    Electro IQ (2024). Mental Health Statistics By Countries, Respondents And Expenditure [Dataset]. https://electroiq.com/stats/mental-health-statistics/
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    Dataset updated
    Nov 18, 2024
    Dataset authored and provided by
    Electro IQ
    License

    https://electroiq.com/privacy-policyhttps://electroiq.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Introduction

    Mental Health Statistics: Mental health refers to the emotional and psychological aspects of social health and well-being. The World Health Organization states it to be a condition where an individual can deal with the daily stress of life and work fruitfully without compromising on health. For the most part, it is an essential aspect that needs to be addressed to ensure holistic well-being.

    Likewise, we will go through the Mental Health Statistics and learn about the relevant elements of this health topic and learn more about it.

  12. D

    Lack of Social Connection

    • data.cdc.gov
    • healthdata.gov
    • +1more
    application/rdfxml +5
    Updated Oct 4, 2024
    + more versions
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    NCHS/DHIS (2024). Lack of Social Connection [Dataset]. https://data.cdc.gov/National-Center-for-Health-Statistics/Lack-of-Social-Connection/mnaa-qctp
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    csv, application/rssxml, application/rdfxml, tsv, json, xmlAvailable download formats
    Dataset updated
    Oct 4, 2024
    Dataset authored and provided by
    NCHS/DHIS
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Description

    In 2020, the National Center for Health Statistics (NCHS) partnered with the Census Bureau on an experimental data system called the Household Pulse Survey. This survey was designed to complement the ability of the federal statistical system to rapidly respond and provide relevant information about how emergent issues are impacting American households. Beginning in Phase 4.0 (on January 9, 2024), questions on social support, loneliness, and social isolation were added to the survey. These questions have been included on other nationally representative surveys. Briefly, the question on social support was included on the National Health Interview Survey (NHIS) from July 2020-December 2021 and was added to the 2024 NHIS. The question on loneliness was added to the 2024 NHIS. The questions on social isolation are adapted from the Berkman-Syme Social Network Index and were included on an earlier cycle of the National Health and Nutrition Examination Survey. For more information, please visit: https://www.cdc.gov/nchs/covid19/pulse/lack-socialconnection.htm

  13. NHIS Child Summary Health Statistics

    • catalog.data.gov
    • data.virginia.gov
    • +2more
    Updated Feb 3, 2025
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    Centers for Disease Control and Prevention (2025). NHIS Child Summary Health Statistics [Dataset]. https://catalog.data.gov/dataset/nhis-child-summary-health-statistics-9185f
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    Dataset updated
    Feb 3, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    Interactive Summary Health Statistics for Children provide annual estimates of selected health topics for children under age 18 years based on final data from the National Health Interview Survey.

  14. Healthy aging indicators

    • www150.statcan.gc.ca
    • open.canada.ca
    • +2more
    Updated Jul 27, 2010
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    Government of Canada, Statistics Canada (2010). Healthy aging indicators [Dataset]. http://doi.org/10.25318/1310046601-eng
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    Dataset updated
    Jul 27, 2010
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Number and percentage of persons for healthy aging indicators, by age group and sex, for 2008/2009 only.

  15. World Health Statistics Indicators Japan

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
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    John Snow Labs (2021). World Health Statistics Indicators Japan [Dataset]. https://www.johnsnowlabs.com/marketplace/world-health-statistics-indicators-japan/
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    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Time period covered
    1950 - 2050
    Area covered
    Japan
    Description

    This dataset provides world health statistics indicators for Japan. It includes different indicators for heath (Civil registration coverage of causes of deaths, Dentistry personnel density, Hospital beds, Hepatitis B surface antigen (HBsAg) prevalence among children under 5 years etc).

  16. D

    DQS NHIS Adult Summary Statistics Footnotes

    • data.cdc.gov
    • data.virginia.gov
    • +1more
    application/rdfxml +5
    Updated May 27, 2025
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    NCHS/DHIS (2025). DQS NHIS Adult Summary Statistics Footnotes [Dataset]. https://data.cdc.gov/National-Center-for-Health-Statistics/DQS-NHIS-Adult-Summary-Statistics-Footnotes/gpsd-ru5i
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    csv, application/rssxml, json, application/rdfxml, tsv, xmlAvailable download formats
    Dataset updated
    May 27, 2025
    Dataset authored and provided by
    NCHS/DHIS
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Description

    List of footnotes, notes, and source information for NHIS Adult Summary Statistics. Each row of this dataset contains the accompanying text for a footnote found in the NHIS Adults Summary Statistics Dataset.

  17. United States US: Mortality from CVD, Cancer, Diabetes or CRD between Exact...

    • ceicdata.com
    Updated Mar 29, 2018
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    CEICdata.com (2018). United States US: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female [Dataset]. https://www.ceicdata.com/en/united-states/health-statistics
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    Dataset updated
    Mar 29, 2018
    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, 2000 - Dec 1, 2016
    Area covered
    United States
    Description

    US: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data was reported at 11.800 NA in 2016. This records an increase from the previous number of 11.600 NA for 2015. US: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data is updated yearly, averaging 11.800 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 14.600 NA in 2000 and a record low of 11.600 NA in 2015. US: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female 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: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;

  18. Kazakhstan KZ: Domestic Private Health Expenditure: % of Current Health...

    • ceicdata.com
    Updated May 29, 2018
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    CEICdata.com (2018). Kazakhstan KZ: Domestic Private Health Expenditure: % of Current Health Expenditure [Dataset]. https://www.ceicdata.com/en/kazakhstan/health-statistics
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    Dataset updated
    May 29, 2018
    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, 2004 - Dec 1, 2015
    Area covered
    Kazakhstan
    Description

    KZ: Domestic Private Health Expenditure: % of Current Health Expenditure data was reported at 39.463 % in 2015. This records an increase from the previous number of 37.746 % for 2014. KZ: Domestic Private Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 38.039 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 49.062 % in 2000 and a record low of 31.419 % in 2011. KZ: Domestic Private Health Expenditure: % of Current Health Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kazakhstan – Table KZ.World Bank: Health Statistics. Share of current health expenditures funded from domestic private sources. Domestic private sources include funds from households, corporations and non-profit organizations. Such expenditures can be either prepaid to voluntary health insurance or paid directly to healthcare providers.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;

  19. N

    Mount Healthy, OH Population Breakdown by Gender and Age Dataset: Male and...

    • neilsberg.com
    csv, json
    Updated Feb 24, 2025
    + more versions
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    Neilsberg Research (2025). Mount Healthy, OH Population Breakdown by Gender and Age Dataset: Male and Female Population Distribution Across 18 Age Groups // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/e1f34927-f25d-11ef-8c1b-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 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
    Mount Healthy, Ohio
    Variables measured
    Male and Female Population Under 5 Years, Male and Female Population over 85 years, Male and Female Population Between 5 and 9 years, Male and Female Population Between 10 and 14 years, Male and Female Population Between 15 and 19 years, Male and Female Population Between 20 and 24 years, Male and Female Population Between 25 and 29 years, Male and Female Population Between 30 and 34 years, Male and Female Population Between 35 and 39 years, Male and Female Population Between 40 and 44 years, and 8 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To measure the three variables, namely (a) Population (Male), (b) Population (Female), and (c) Gender Ratio (Males per 100 Females), we initially analyzed and categorized the data for each of the gender classifications (biological sex) reported by the US Census Bureau across 18 age groups, ranging from under 5 years to 85 years and above. These age groups are described above in the variables section. 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 population of Mount Healthy by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Mount Healthy. The dataset can be utilized to understand the population distribution of Mount Healthy by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Mount Healthy. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Mount Healthy.

    Key observations

    Largest age group (population): Male # 0-4 years (440) | Female # 30-34 years (304). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Age groups:

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

    Scope of gender :

    Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

    Variables / Data Columns

    • Age Group: This column displays the age group for the Mount Healthy population analysis. Total expected values are 18 and are define above in the age groups section.
    • Population (Male): The male population in the Mount Healthy is shown in the following column.
    • Population (Female): The female population in the Mount Healthy is shown in the following column.
    • Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Mount Healthy for each age group.

    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 Mount Healthy Population by Gender. You can refer the same here

  20. DQS NHIS Children Summary Statistics

    • data.virginia.gov
    • healthdata.gov
    • +1more
    csv, json, rdf, xsl
    Updated Apr 21, 2025
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    Centers for Disease Control and Prevention (2025). DQS NHIS Children Summary Statistics [Dataset]. https://data.virginia.gov/dataset/dqs-nhis-children-summary-statistics
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    rdf, csv, xsl, jsonAvailable download formats
    Dataset updated
    Apr 21, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    Interactive Summary Health Statistics for Children provide annual estimates of selected health topics for children under age 18 years based on final data from the National Health Interview Survey. Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.

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Centers for Disease Control and Prevention (2025). Healthy People 2020 Final Progress Table [Dataset]. https://catalog.data.gov/dataset/healthy-people-2020-final-progress-table-eef88
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Healthy People 2020 Final Progress Table

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Dataset updated
Apr 23, 2025
Dataset provided by
Centers for Disease Control and Preventionhttp://www.cdc.gov/
Description

[1] Status is determined using the baseline, final, and target value. The statuses used in Healthy People 2020 were: 1 - Target met or exceeded—One of the following applies: (i) At baseline, the target was not met or exceeded, and the most recent value was equal to or exceeded the target. (The percentage of targeted change achieved was equal to or greater than 100%.); (ii) The baseline and most recent values were equal to or exceeded the target. (The percentage of targeted change achieved was not assessed.) 2 - Improved—One of the following applies: (i) Movement was toward the target, standard errors were available, and the percentage of targeted change achieved was statistically significant; (ii) Movement was toward the target, standard errors were not available, and the objective had achieved 10% or more of the targeted change. 3 - Little or no detectable change—One of the following applies: (i) Movement was toward the target, standard errors were available, and the percentage of targeted change achieved was not statistically significant; (ii) Movement was toward the target, standard errors were not available, and the objective had achieved less than 10% of the targeted change; (iii) Movement was away from the baseline and target, standard errors were available, and the percent change relative to the baseline was not statistically significant; (iv) Movement was away from the baseline and target, standard errors were not available, and the objective had moved less than 10% relative to the baseline; (v) No change was observed between the baseline and the final data point. 4 - Got worse—One of the following applies: (i) Movement was away from the baseline and target, standard errors were available, and the percent change relative to the baseline was statistically significant; (ii) Movement was away from the baseline and target, standard errors were not available, and the objective had moved 10% or more relative to the baseline. 5 - Baseline only—The objective only had one data point, so progress toward target attainment could not be assessed. Note that if additional data points did not meet the criteria for statistical reliability, data quality, or confidentiality, the objective was categorized as baseline only. 6 - Informational—A target was not set for this objective, so progress toward target attainment could not be assessed. [2] The final value is generally based on data available on the Healthy People 2020 website as of January 2020. For objectives that are continuing into Healthy People 2030, more recent data are available on the Healthy People 2030 website: https://health.gov/healthypeople. [3] For objectives that moved toward their targets, movement toward the target was measured as the percentage of targeted change achieved (unless the target was already met or exceeded at baseline): Percentage of targeted change achieved = (Final value - Baseline value) / (HP2020 target - Baseline value) * 100 [4] For objectives that were not improving, did not meet or exceed their targets, and did not move towards their targets, movement away from the baseline was measured as the magnitude of the percent change from baseline: Magnitude of percent change from baseline = |Final value - Baseline value| / Baseline value * 100 [5] Statistical significance was tested when the objective had a target, at least two data points (of unequal value), and available standard errors of the data. A normal distribution was assumed. All available digits were used to test statistical significance. Statistical significance of the percentage of targeted change achieved or the magnitude of the percentage change from baseline was assessed at the 0.05 level using a normal one-sided test. [6] For more information on the Healthy People 2020 methodology for measuring progress toward target attainment and the elimination of health disparities, see: Healthy People Statistical Notes, no 27; available from: https://www.cdc.gov/nchs/data/sta

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