The physical inactivity rate of Montgomery County, MD was 17.00% 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:

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Health and Health Behaviors Datasets Involving Montgomery County, MD

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    Fire And Rescue Smoke Alarm Installs | Last Updated 2019-02-15T21:37:54.000Z

    Smoke alarm installs / inspections performed by personnel responding to homes on an emergency incident, where appropriate and authorized by homeowner. This project began 4/1/2015.

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    Maryland Counties Socioeconomic Characteristics | Last Updated 2018-10-16T17:07:49.000Z

    Data for population, gender, race, labor force, educational attainment, income, poverty, households and housing units

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    Number of Drug and Alcohol-Related Intoxication Deaths by Place of Occurrence, 2007-2016[1][2] | Last Updated 2018-04-06T13:01:30.000Z

    Drug and alcohol-related Intoxication death data is prepared using drug and alcohol intoxication data housed in a registry developed and maintained by the Vital Statistics Administration (VSA) of the Maryland Department of Health and Mental Hygiene (DHMH). The methodology for reporting on drug-related intoxication deaths in Maryland was developed by VSA with assistance from the DHMH Alcohol and Drug Abuse Administration, the Office of the Chief Medical Examiner (OCME) and the Maryland Poison Control Center. Assistance was also provided by authors of a 2008 Baltimore City Health Department report on intoxication deaths. Data in this table is by incident location, where the death occurred, rather than by county of residence.

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    Montgomery County Full and Part Time Jobs By Industry: Historic 2001 to 2013 and Projected 2015 to 2040 | Last Updated 2018-10-16T17:46:07.000Z

    Total Jobs by Industry, Historic 2001 to 2013 and Projected 2015 to 2040 in Montgomery County by Industry and by Place of Work

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    Population Health Measures: Age-Adjusted Mortality Rates | Last Updated 2015-06-17T16:53:22.000Z

    Age-adjustment mortality rates are rates of deaths that are computed using a statistical method to create a metric based on the true death rate so that it can be compared over time for a single population (i.e. comparing 2006-2008 to 2010-2012), as well as enable comparisons across different populations with possibly different age distributions in their populations (i.e. comparing Hispanic residents to Asian residents). Age adjustment methods applied to Montgomery County rates are consistent with US Centers for Disease Control and Prevention (CDC), National Center for Health Statistics (NCHS) as well as Maryland Department of Health and Mental Hygiene’s Vital Statistics Administration (DHMH VSA). PHS Planning and Epidemiology receives an annual data file of Montgomery County resident deaths registered with Maryland Department of Health and Mental Hygiene’s Vital Statistics Administration (DHMH VSA). Using SAS analytic software, MCDHHS standardizes, aggregates, and calculates age-adjusted rates for each of the leading causes of death category consistent with state and national methods and by subgroups based on age, gender, race, and ethnicity combinations. Data are released in compliance with Data Use Agreements between DHMH VSA and MCDHHS. This dataset will be updated Annually.

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    NCHS - Drug Poisoning Mortality by County: United States | 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: 2. CDC. CDC Wonder: Underlying cause of death 1999–2016. Available from: 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: 6. Rossen LM, Bastian B, Warner M, and Khan D. NCHS – Drug Poisoning Mortality by County: United States, 1999-2015. Available from: 7. National Center for Health Statistics. County geog

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    Maryland Total Births By Year: 2000-2016 | Last Updated 2018-10-16T21:15:22.000Z

    Maryland Total Births from 2000 to 2016. Source from the Maryland Department of Health and Mental Hygiene, Vital Statistics Reports.

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    Residents With No Health Insurance Counties In Utah 2008-2012 | Last Updated 2019-02-11T22:33:47.000Z

    This data set contains Utah citizens under 65 years of age who report having no health insurance from the Small Area Health Insurance Estimates (Census).

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    Alert Montgomery Statistics | Last Updated 2019-04-18T14:37:48.000Z

    This dataset offers a monthly snapshot of messages sent through the Alert Montgomery system. Alert Montgomery provides text, email, and/or voice alerts on weather, traffic, and other emergencies. Additionally, other departments use the system to update residents on facility closures. The data is broken out into types of messages, number of contacts receiving messages, and increase / decrease of alert subscribers. Update Frequency - Monthly

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    Maryland Per Capita Personal Income (Current Dollars): 2009-2016 | Last Updated 2018-10-17T18:50:17.000Z

    Maryland Per Capita Personal Income (Current Dollars) from 2009 to 2016. Source U.S. Bureau of Economic Analysis