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Population Health Measures: Age-Adjusted Mortality Rates

Montgomery County of Maryland

@usgov.montgomery_county_of_maryland_population_health_measur_01158808

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About this Dataset

Population Health Measures: Age-Adjusted Mortality Rates

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.
Organization: Montgomery County of Maryland
Last updated: 2020-11-10T16:58:18.464369
Tags: adjusted, age, demographics, measures, mortality, population, population-health, public-health, rates

Tables

Table 1

@usgov.montgomery_county_of_maryland_population_health_measur_01158808.table_1
  • 126.94 kB
  • 12,150 rows
  • 9 columns
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CREATE TABLE table_1 (
  "unique_id" VARCHAR,
  "n_3_year_period" VARCHAR  -- 3-Year Period,
  "cause_of_death" VARCHAR,
  "race" VARCHAR,
  "hispanic_or_latino_origin" VARCHAR,
  "gender" VARCHAR,
  "age_adjusted_rate_per_100_000_population" DOUBLE,
  "lower_95_confidence_interval" DOUBLE  -- Lower 95% Confidence Interval,
  "upper_95_confidence_interval" DOUBLE  -- Upper 95% Confidence Interval
);

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