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.

Experimental analysis of ethnic differences in cause-specific mortality rates in England and Wales based on 2011 Census and death registrations.

This is historical data. The update frequency has been set to "Static Data" and is here for historic value. Updated 8/14/2024.

Rate of deaths per 100,000 population by selected underlying causes of death among Maryland residents (1992-2017).

This dataset of U.S. mortality trends since 1900 highlights trends in age-adjusted death rates for five selected major causes of death.

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).

Revisions to the International Classification of Diseases (ICD) over time may result in discontinuities in cause-of-death trends.

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

1. 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.

2. 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.

3. 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.

4. 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.

5. National Center for Health Statistics. Historical Data, 1900-1998. 2009. Available from: https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm.

The age- and sex-standardised rate obtained by direct standardisation is the rate that would be observed in the population studied if it had the same age structure as a reference population, here the 2013 standard European population. It is calculated by weighting the observed age-specific mortality rates in the population by the age structure of the reference population.

Mortality from lung cancer, directly age-standardised rate, persons, under 75 years, 2004-08 (pooled) per 100,000 European Standard population by Local Authority by local deprivation quintile. Local deprivation quintiles are calculated by ranking small areas (Lower Super Output Areas (LSOAs)) within each Local Authority based on their Index of Multiple Deprivation 2007 (IMD 2007) deprivation score, and then grouping the LSOAs in each Local Authority into five groups (quintiles) with approximately equal numbers of LSOAs in each. The upper local deprivation quintile (Quintile 1) corresponds with the 20% most deprived small areas within that Local Authority. The mortality rates have been directly age-standardised using the European Standard Population in order to make allowances for differences in the age structure of populations. There are inequalities in health. For example, people living in more deprived areas tend to have shorter life expectancy, and higher prevalence and mortality rates of most cancers. Lung cancer accounts for 7% of all deaths among men and in England every year and 4% of deaths among women every year. This amounts to 24% of all cancer deaths among men in England and 18% of all cancer deaths among women in England1. Reducing inequalities in premature mortality from all cancers is a national priority, as set out in the Department of Health’s Vital Signs Operating Framework 2008/09-2010/111. This indicator has been produced in order to quantify inequalities in lung cancer mortality by deprivation. This indicator has been discontinued and so there will be no further updates. Legacy unique identifier: P01406

Number of deaths, crude mortality rates and age standardized mortality rates (based on 2011 population) for selected grouped causes, by sex, 2000 to most recent year.

The rate standardised by age and sex obtained by direct standardisation is the rate that would be observed in the population studied if it had the same age structure as a reference population, here the standard European population of 2013. It is calculated by weighting the age-specific mortality rates observed in the population by the age structure of the reference population.

Dataset from Ministry of Health. For more information, visit https://data.gov.sg/datasets/d_75673c9d6c4efdcd08530b55e6003976/view

Directly Age Standardised Mortality Rates (DASR) per 100,000. Age standardised rates compensate for differing age structures by weighting them to meet the European Standard Population (2013). Rates can then be compared for different areas, or even across area types. Attention should be given to upper and lower 95% confidence intervals as a quick method of determining whether rates could overlap or are significantly different. Wide confidence intervals are indicative of small numbers in the numerator or of very skewed age structures. Rates of course cannot be summed, and because they are age standardised cannot be reverse engineered back to counts without knowing the age of every patient in the data. Source is ONS deaths extract, GP registered populations.

There is no description available for this dataset.

Age standardised mortality rates and age standardised fertility rates projections by age groups, sex and local authorities in England

This is historical data. The update frequency has been set to "Static Data" and is here for historic value. Updated on 8/14/2024 Age-Adjusted Mortality Rate From Heart Disease - This indicator shows the age-adjusted mortality rate from heart disease (per 100,000 population). Heart disease is the leading cause of death in Maryland accounting for 25% of all deaths. Between 2012-2014, over 30,000 people died of heart disease in Maryland. Link to Data Details

Age-standardised mortality rates for Ischaemic Heart Disease, Stroke and Cancer

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.

Graph and download economic data for Age-Adjusted Premature Death Rate for Clinton County, MI (CDC20N2UAA026037) from 1999 to 2020 about Clinton County, MI; Lansing; premature; death; MI; rate; and USA.

The age-standardised rates, standardised years of life lost and the total numbers of deaths for causes considered avoidable, amenable and preventable.

Mortality from all causes (for ages < 1yr all deaths, including where no cause is recorded; for ages >= 1 yr ICD-10 A00-Y99 equivalent to ICD-9 001-E999). To reduce mortality. Legacy unique identifier: P00339

Death rates for all causes (per 100,000 population) for Glasgow City and Scotland for males, females and all persons for all ages or under 75 years. The rates are age-standardised using the 1976 European Standard Population (ESP1976), in order to show trends in mortality after taking account of changes in the distribution by age of the Scottish population. See Age-standardised death rates using the European Standard Population for explanation of the difference in age-standardised death rates when 1976 ESP is used compared to those calculated using the age of the population of Scotland. Data extracted 2014-04-08 from the General Register Office for Scotland Licence: None

The table/figure shows the age-standardised incidence rate (per 100,000 population) of the top three cancers among men and women in Singapore.

The rates are expressed as per 100,000 residential population and standardised to the Segi World Population.

The numbers will be updated annually due to ongoing retrospective case collection.