The physical inactivity rate of Fairfax County, VA was 15.20% in 2015.

Health Behaviors

The Robert Wood Johnson Foundation produces health rankings for states and counties. They explore many aspects of health including quality of life, health behaviors, access to clinical care, socioeconomic factors, and environmental factors.

Above charts are based on data from the Robert Wood Johnson Foundation | Data Source | ODN Dataset | API - Notes:

1. ODN datasets and APIs are subject to change and may differ in format from the original source data in order to provide a user-friendly experience on this site.

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Health and Health Behaviors Datasets Involving Fairfax County, VA

  • API

    NCHS - Drug Poisoning Mortality by County: United States

    data.cdc.gov | Last Updated 2017-08-28T15:09:46.000Z

    This dataset describes drug poisoning deaths at the county level by selected demographic characteristics and includes age-adjusted death rates for drug poisoning from 1999 to 2015. Deaths are classified using the International Classification of Diseases, Tenth Revision (ICD–10). Drug-poisoning deaths are defined as having ICD–10 underlying cause-of-death codes X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), or Y10–Y14 (undetermined intent). Estimates are based on the National Vital Statistics System multiple cause-of-death mortality files (1). Age-adjusted death rates (deaths per 100,000 U.S. standard population for 2000) are calculated using the direct method. Populations used for computing death rates for 2011–2015 are postcensal estimates based on the 2010 U.S. census. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Estimate does not meet standards of reliability or precision. Death rates are flagged as “Unreliable” in the chart when the rate is calculated with a numerator of 20 or less. Death rates for some states and years may be low due to a high number of unresolved pending cases or misclassification of ICD–10 codes for unintentional poisoning as R99, “Other ill-defined and unspecified causes of mortality” (2). For example, this issue is known to affect New Jersey in 2009 and West Virginia in 2005 and 2009 but also may affect other years and other states. Estimates should be interpreted with caution. Smoothed county age-adjusted death rates (deaths per 100,000 population) were obtained according to methods described elsewhere (3–5). Briefly, two-stage hierarchical models were used to generate empirical Bayes estimates of county age-adjusted death rates due to drug poisoning for each year during 1999–2015. These annual county-level estimates “borrow strength” across counties to generate stable estimates of death rates where data are sparse due to small population size (3,5). Estimates are unavailable for Broomfield County, Colo., and Denali County, Alaska, before 2003 (6,7). Additionally, Bedford City, Virginia was added to Bedford County in 2015 and no longer appears in the mortality file in 2015. County boundaries are consistent with the vintage 2005-2007 bridged-race population file geographies (6).

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    NCHS - Drug Poisoning Mortality by County: United States

    data.cdc.gov | Last Updated 2018-06-04T12:49:09.000Z

    This dataset contains model-based county estimates for drug-poisoning mortality. Deaths are classified using the International Classification of Diseases, Tenth Revision (ICD–10). Drug-poisoning deaths are defined as having ICD–10 underlying cause-of-death codes X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), or Y10–Y14 (undetermined intent). Estimates are based on the National Vital Statistics System multiple cause-of-death mortality files (1). Age-adjusted death rates (deaths per 100,000 U.S. standard population for 2000) are calculated using the direct method. Populations used for computing death rates for 2011–2016 are postcensal estimates based on the 2010 U.S. census. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Death rates for some states and years may be low due to a high number of unresolved pending cases or misclassification of ICD–10 codes for unintentional poisoning as R99, “Other ill-defined and unspecified causes of mortality” (2). For example, this issue is known to affect New Jersey in 2009 and West Virginia in 2005 and 2009 but also may affect other years and other states. Drug poisoning death rates may be underestimated in those instances. Smoothed county age-adjusted death rates (deaths per 100,000 population) were obtained according to methods described elsewhere (3–5). Briefly, two-stage hierarchical models were used to generate empirical Bayes estimates of county age-adjusted death rates due to drug poisoning for each year. These annual county-level estimates “borrow strength” across counties to generate stable estimates of death rates where data are sparse due to small population size (3,5). Estimates for 1999-2015 have been updated, and may differ slightly from previously published estimates. Differences are expected to be minimal, and may result from different county boundaries used in this release (see below) and from the inclusion of an additional year of data. Previously published estimates can be found here for comparison.(6) Estimates are unavailable for Broomfield County, Colorado, and Denali County, Alaska, before 2003 (7,8). Additionally, Clifton Forge County, Virginia only appears on the mortality files prior to 2003, while Bedford City, Virginia was added to Bedford County in 2015 and no longer appears in the mortality file in 2015. These counties were therefore merged with adjacent counties where necessary to create a consistent set of geographic units across the time period. County boundaries are largely consistent with the vintage 2005-2007 bridged-race population file geographies, with the modifications noted previously (7,8). REFERENCES 1. National Center for Health Statistics. National Vital Statistics System: Mortality data. Available from: http://www.cdc.gov/nchs/deaths.htm. 2. CDC. CDC Wonder: Underlying cause of death 1999–2016. Available from: http://wonder.cdc.gov/wonder/help/ucd.html. 3. Rossen LM, Khan D, Warner M. Trends and geographic patterns in drug-poisoning death rates in the U.S., 1999–2009. Am J Prev Med 45(6):e19–25. 2013. 4. Rossen LM, Khan D, Warner M. Hot spots in mortality from drug poisoning in the United States, 2007–2009. Health Place 26:14–20. 2014. 5. Rossen LM, Khan D, Hamilton B, Warner M. Spatiotemporal variation in selected health outcomes from the National Vital Statistics System. Presented at: 2015 National Conference on Health Statistics, August 25, 2015, Bethesda, MD. Available from: http://www.cdc.gov/nchs/ppt/nchs2015/Rossen_Tuesday_WhiteOak_BB3.pdf. 6. Rossen LM, Bastian B, Warner M, and Khan D. NCHS – Drug Poisoning Mortality by County: United States, 1999-2015. Available from: https://data.cdc.gov/NCHS/NCHS-Drug-Poisoning-Mortality-by-County-United-Sta/pbkm-d27e. 7. National Center for Health Statistics. County geog

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    Wayne County Life Expectancy by Zipcode

    data.detroitmi.gov | Last Updated 2016-08-22T17:34:24.000Z

    Life expectancy is a measure of the average life time of an individual at birth. Life expectancy was calculated from 2004 - 2013 death data from MDHHS Vital Records and Health Statistics. The average number of deaths across the ten years was calculated in order to match population data from the 2000 US Census and 2010 US Census.

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    Veterans Health Administration Survey of Healthcare Experiences of Patients (SHEP)

    data.medicare.gov | Last Updated 2018-09-19T16:49:04.000Z

    A list of VHA hospitals with inpatient experience of care survey data. The VA SHEP uses the same questions as the Hospital Consumer Assessment of Health Providers and Systems (HCAHPS) Survey shown on Hospital Compare, however, the results do not represent official HCAHPS results.

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    Iowa Fleet Summary By Year, County And Vehicle Type

    data.iowa.gov | Last Updated 2018-03-27T19:33:09.000Z

    The dataset provides vehicle (both motor vehicle and trailer) registration numbers and annual fees in Iowa by year, county and vehicle types. Vehicle types include: Automobile, Bus, Moped, Motor Home - A, Motor Home - B, Motor Home - C, Motorcycle, Multi-purpose, Regular Trailer, Semi Trailer, Small Regular Trailer, Small Semi Trailer, Truck Tractor, Travel Trailer, Truck, Truck - Business Trade, and Truck - Weight and List.

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    Iowa Medicaid Payments & Recipients by Month and County

    data.iowa.gov | Last Updated 2018-09-25T22:00:49.000Z

    This dataset contains aggregate Medicaid payments, and counts for eligible recipients and recipients served by month and county in Iowa, starting with month ending 1/31/2011. Eligibility groups are a category of people who meet certain common eligibility requirements. Some Medicaid eligibility groups cover additional services, such as nursing facility care and care received in the home. Others have higher income and resource limits, charge a premium, only pay the Medicare premium or cover only expenses also paid by Medicare, or require the recipient to pay a specific dollar amount of their medical expenses. Eligible Medicaid recipients may be considered medically needy if their medical costs are so high that they use up most of their income. Those considered medically needy are responsible for paying some of their medical expenses. This is called meeting a spend down. Then Medicaid would start to pay for the rest. Think of the spend down like a deductible that people pay as part of a private insurance plan.

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    New York State Gazetteer

    health.data.ny.gov | Last Updated 2016-12-07T21:02:36.000Z

    This dataset, prepared by the Bureau of Biometrics and Health Statistics within the Department of Health, is intended to identify individual registration districts in New York State. These districts are used to identify residences and places of occurrence of events reported as part of the vital records registration system of the New York State Department of Health.

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    Iowa Unemployment Insurance Initial Claims by County (Monthly)

    data.iowa.gov | Last Updated 2018-10-08T14:36:36.000Z

    This dataset contains Iowa unemployment insurance initial claims by county. County data is based on the claimant’s place of residence. (2011 to date)

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    Iowa Family Investment Program Recipients and Grants by Month and County

    data.iowa.gov | Last Updated 2018-09-07T22:00:07.000Z

    The Family Investment Program (FIP) is Iowa's Temporary Assistance to Needy Families (TANF) program. FIP provides cash assistance to needy families, as they become self-supporting so children may be cared for in their own homes or in the homes of relatives. Data are provided on the number of cases (families) served, the number of recipients served and the dollar value of the payments provided summed by month and county starting January 2011 and updated monthly. A case is defined as a family group who receives FIP assistance together. A recipient is an individual on a FIP case.

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    County Budgeted Expenditures By Service Area By Fiscal Year

    data.iowa.gov | Last Updated 2018-10-01T19:49:05.000Z

    This dataset provides budgeted expenditures for the counties within the State of Iowa beginning with FY 2005 (fiscal year ending 6/30/2005).