Compressed Mortality File:
Years 1968-1978 with ICD-8 Codes,
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Summary: |
The Compressed Mortality File (CMF) is a county-level national mortality and population database spanning the years 1968-2015. Compressed Mortality data are updated annually. The number of deaths, crude death rates or age-adjusted death rates can be obtained by place of residence (total U.S., Census region, Census division, state, and county), age group, race (years 1968-1998: White, Black, and Other; years 1999-present: American Indian or Alaska Native, Asian or Pacific Islander, Black or African American, and White), Hispanic origin (years 1968-1998: not available; years 1999-present: Hispanic or Latino, not Hispanic or Latino, Not Stated), gender, year of death, and underlying cause of death (years 1968-1978: 4 digit ICD-8 codes and 69 cause-of-death recode; years 1979-1998: 4-digit ICD-9 codes and 72 cause-of-death recode; years 1999-present: 4-digit ICD-10 codes and 113 cause-of-death recode), and urbanization level of residence for years 1999-present (per the 2006 or the 2013 NCHS Urban-Rural Classification Scheme for Counties). For more information, see Compressed Mortality File Topics below and http://www.cdc.gov/nchs/data_access/cmf.htm.
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Source: |
Compressed Mortality File is produced by the National Center for Health Statistics (NCHS), at the Centers for Disease Control and Prevention (CDC). See Data Source Information. |
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In WONDER: |
You can produce tables, maps, charts, and data extracts.
Obtain death counts, crude death rates and age-adjusted death rates,
standard error and 95% confidence intervals for rates
for user-specified geographic, cause of death, and demographic criteria.
Mortality measures can be obtained for several levels of geographic detail:
national, Census region, Census division, state, county and urbanization level.
The population estimates used as the denominator for rate calculations are also shown.
Variables: You can limit and index your data by any and all of these variables:
Statistical measures: The following statistical measures are available as query results:
Suppression and Unreliability:
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Topics: |
Compressed Mortality Data Request Data Source Information Additional Information |
Additional Information
Suggested Data Source Citations: |
United States Department of Health and Human Services (US DHHS),
For more information on archive data from previous releases, see CMF Archives. Mortality data on the CMF are derived from micro-data death files produced by the National Center for Health Statistics. These files were derived from the National Vital Statistics System which contains information from death certificates collected by the States and tabulated by NCHS. Population data on the CMF are derived from Census Bureau files. Errata:
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Contact: | For data questions that are not addressed in this document, e-mail nchsquery@cdc.gov. |
Mortality Data: |
The mortality data on the Compressed Mortality File are based on information from all death certificates filed in the fifty states and the District of Columbia. Deaths of nonresidents (e.g. nonresident aliens, nationals living abroad, residents of Puerto Rico, Guam, the Virgin Islands, and other territories of the U.S.) and fetal deaths are excluded. Mortality data from the death certificates are coded by the states and provided to NCHS through the Vital Statistics Cooperative Program or coded by NCHS from copies of the original death certificates provided to NCHS by the State registration offices. For more information, see Technical Appendix from Vital Statistics of United States: 1999 Mortality.
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Population Data: |
The population estimates on the Compressed Mortality File
are U.S. Census Bureau estimates of U.S. national, state, and
county resident populations.
The estimates for
1968, 1969, 1971-1979, 1981 - 1989, 1991- 1999 and 2001-2009
are intercensal estimates of July 1 resident populations.
The 1970, 1980, 1990, 2000 and 2010 population
estimates are April 1 modified census counts.
The 2001-2009 population estimates are revised intercensal estimates of
the July 1 resident population (released by NCHS on 10/26/2012).
The 2011 - 2015 population estimates are
postcensal estimates of July 1 resident populations.
The population estimates for 1991-2015 have bridged-race categories.
For more information, see notes below and
Population Information.
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Compressed Mortality Data Request
Output: | You can produce tables, maps, charts, and data extracts. Obtain death counts, crude rates and age-adjusted rates, select specific disease and demographic criteria to produce cross-tabulated mortality measures. Data are organized into three levels of geographic detail: national, state (including multi-state regions) and county. The population estimates used as the denominator for rate calculations are also shown. | |
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Variables: | You can limit and index your data by any and all of the variables. | |
How? | The Request screen has sections to guide you through the
making a data request as step-by-step process.
However, to get your first taste of how the system works,
you might want to simply press any Send button,
and execute the default data request.
The data results for your query appear on the Table screen.
After you get your data results, try the Chart and Map screens.
Or export your data to a file (tab-delimited line listing) for download to your computer.
For more information, see the following: Quick Start Guide Step 1, Organize and label results Step 2, Select location Step 3, Select years and demographics Step 4, Select cause of death Step 5, Other options |
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'By-Variables' | Select variables that serve as keys (indexes) for organizing your data.
See How do I organize my data? for more information.
Note: To map your data, you must select at least one geographical location as a "By-Variable" for grouping your data, such as State or County. |
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Help: | Click on any button labeled "Help", located to the right hand side of the screen at the top of each section. Each control's label, such as the "Location" label next to the Location entry box, is linked to the on-line help for that item. | |
Send: | Sends your data request to be processed on the CDC WONDER databases. The Send buttons are located on the bottom of the Request page, and also in the upper right corner of each section, for easy access. |
Step 1. Organize table layout:
There are three basic steps you may take in this first section. However, you may also simply click the "Send" button to request the default query, which reports national death counts and crude death rates by age group for all causes and all years.
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Pick indexes or cross-tabulation for your results.
Select up to five categorical variables that serve as indexes or keys for grouping your data. See Group Results By below for hints. -
Select statistical measures reported in your results.
The following summary statistical measures are always available as query results:- Death Counts
- Populations for rate calculations
- Crude Rates
How? Click the check box to indicate the desired measure. Measures are listed insection 1 on the Request Form tab. -
Provide a title for your results.
Enter any desired description in the Title box, to display above your results. Titles are optional. -
Additional Rate Options:
Click the "+" to open this section, and select more measures for rates. The options vary, depending on your selections in the Measures section above. For example, when you check Age-Adjusted Rates in the Measures section, then you can choose a standard population for weighting the age-adjusted rates, or you can select criteria to define a non-standard population for weights, in the Additional Rate Options section. For more information, see Additional Rate Options
Group Results By...
Select up to five variables that serve as keys for grouping your data. For example, you could select to group (summarize, stratify, index) your data by State and by County.
Hints:
- When age-adjusted rates are calculated, you cannot group the data by Age Group.
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About charts:
You cannot make charts when your data has more than two By-Variables. -
About maps:
To make a map, you must request data with a geographic location variable, such as State or County, as a "By-Variable." Then click the Map tab.
Death Counts
The death counts in the data represent deaths that occurred in the 50 United States and the district of Columbia, for the legal place of residence of the decedent. See Mortality data for more information.
Sub-national data representing fewer than ten persons (0-9) are suppressed for year 1989 and later years. See Assurance of Confidentiality for more information.
Crude Rates
Crude Rates are expressed as the number of deaths reported each calendar year per the factor you select. The default factor is per 100,000 population, reporting the death rate per 100,000 persons.
Crude Rate = Count / Population * 100,000
See Frequently Asked Questions about Death Rates .
- Rates calculated with population estimates are per 100,000 persons by default. However, infant mortality rates are calculated per 1,000 live births by default. Click "+" to open Additional Rate Options in section 1 on the Request Form tab, to select the factor for rate calculations.
- Select the precision for rate calculations in the Other Options section. When the rate calculated for a small numerator (incidence count) is zero, you may increase the precision to reveal the rate by showing more numbers to the right of the decimal point.
- Rates for small populations should be interpreted with caution.
- Sub-national data representing fewer than ten persons (0-9) are suppressed for year 1989 and later years. See Assurance of Confidentiality for more information.
- Rates are marked as "unreliable" when the death count is less than 20.
- Crude rates are helpful in determining the need for services for a given population, relative to another population, regardless of size. Crude rates are influenced by the underlying age distribution of the state's population. Even if two states have the same age-adjusted rates, the state with the relatively older population (as demonstrated by having a higher median age) will have higher crude rates because incidence or death rates for most cancers increase with increasing age.
- The population estimates for the denominators of incidence rates are race-specific (all races, white, black, and other races combined) and sex-specific population estimates. The population estimates are aggregated from the most detailed level selected. For example, if you have requested data for the nation grouped by state and by county, then the populations are the county-level population estimates aggregated to the state and national summaries. See Population Denominator Data Sources below for more information.
- The population for "Infant age groups" is the number of live births in the given time period. See Mortality for Infants for more information.
- Prior to August 2006, the number of live births had been substituted for the "under 1 year" age group population estimates. This substitution affected the "under 1 year" and "all ages" death rates slightly, when compared to published tables that rely solely on population estimates.
Age-Adjusted Rates
Age-adjusted rates are requested in the Section 1 on the Request Form tab.
Age-adjusted death rates are weighted averages of the age-specific death rates, where the weights represent a fixed population by age. They are used to compare relative mortality risk among groups and over time. An age-adjusted rate represents the rate that would have existed had the age-specific rates of the particular year prevailed in a population whose age distribution was the same as that of the fixed population. Age-adjusted rates should be viewed as relative indexes rather than as direct or actual measures of mortality risk. However, you can select other standard populations, or select specific population criteria to determine the age distribution ratios. See Frequently Asked Questions about Death Rates for more information.
The rates of almost all causes of death vary by age. Age adjustment is a technique for "removing" the effects of age from crude rates, so as to allow meaningful comparisons across populations with different underlying age structures. For example, comparing the crude rate of heart disease in Florida to that of California is misleading, because the relatively older population in Florida will lead to a higher crude death rate, even if the age-specific rates of heart disease in Florida and California are the same. For such a comparison, age-adjusted rates are preferable. Age-adjusted rates should be viewed as relative indexes rather than as direct or actual measures of mortality risk.
The Compressed Mortality online database and NCHS age-adjusts death rates using the direct method. That is, by applying age-specific death rates (Ri) to the U.S. standard population age distribution.
R' = S i ( Psi / Ps ) R i
where Psi is the standard population for age group i and Ps is the total U.S. standard population (all ages combined).
In the direct method, a standard age distribution is chosen and the age-specific death rates are weighted according to the standard. A reasonable choice for the standard is the U.S. total population (all races, both genders) for the year under study. To permit comparison of death rates from year to year, a standard population is used. Beginning with the 1999 data year, NCHS adopted the year 2000 projected population of the United States as the standard population. This new standard replaces the 1940 standard population that was used by NCHS for over 50 years. The new population standard affects the level of mortality and to some extent trends and group comparisons. Of particular note are the effects on race comparison of mortality. For detailed discussion, see:
- Age-Adjusted Rates are optional, see section 1 on the Request Form tab to select age-adjusted rates.
- Rates are calculated per 100,000 population by default. See Additional Rate Options to select the factor for rate calculations.
- Select the precision for rate calculations in the Other Options section. When the rate calculated for a small numerator (incidence count) is zero, you may increase the precision to reveal the rate by showing more numbers to the right of the decimal point.
- Age-adjusted rates cannot be calculated when the data are grouped by Age Group.
- Age-adjusted rates are not calculated when only one age group is selected (the effect is a ratio of one).
- Age-adjusted rates are not available for "Infant age groups" because the populations for these age groups are the number of live births in the given time period, the same population denominator for each infant age group.
- The selection must include both age groups "5 - 9 years" and "10 - 14 years" in order to calculate age-adjusted rates for this population. The combined age groups are required because the reference standard population has the age group "5 - 14 years."
- The selection must include both age groups "15 - 20 years" and "20 - 24 years" in order to calculate age-adjusted rates for this population. The combined age groups are required because the reference standard population has the age group "15 - 24 years."
Notes:
- Sub-national data representing fewer than ten persons (0-9) are suppressed for year 1989 and later years. See Assurance of Confidentiality for more information.
- Rates are marked as "unreliable" when the death count is less than 20.
- Rates are marked as "not applicable" when the denominator population figure is unavailable, such as "not stated" or unknown age or ethnicity.
- Deaths of persons with "not stated" or unknown age are not included in the calculation of age-adjusted rates.
- If a "non-standard" population is selected for age-adjusted rates, then the actual population estimates for the specified year that are on the Compressed Mortality File are used to determine the specific age-distribution ratios (or weights) used in the calculation.
- The following standard populations (see tables below) are used for computing age-adjusted rates:
- The 2000 Standard Population is a projected population, developed before the April 1, 2000 enumerated Census occurred. For more information, see the following publications:
Year 2000 Standard Population for the United States | ||
Age | Number | |
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All ages | 274,633,642 | |
Under 1 year | 3,794,901 | |
1-4 years | 15,191,619 | |
5-14 years | 39,976,619 | |
15-24 years | 38,076,743 | |
25-34 years | 37,233,437 | |
35-44 years | 44,659,185 | |
45-54 years | 37,030,152 | |
55-64 years | 23,961,506 | |
65-74 years | 18,135,514 | |
75-84 years | 12,314,793 | |
85 years and over | 4,259,173 | |
* Based on year 2000 projected population. |
Year 2000 Standard Million Population for the United States | |||
Numbers and All Ages Proportions (Weights) * | |||
Age | Number | Weight | |
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All ages | 1,000,000 | 1.000000 | |
Under 1 year | 13,818 | 0.013818 | |
1-4 years | 55,317 | 0.055317 | |
5-14 years | 145,565 | 0.145565 | |
15-24 years | 138,646 | 0.138646 | |
25-34 years | 135,573 | 0.135573 | |
35-44 years | 162,613 | 0.162613 | |
45-54 years | 134,834 | 0.134834 | |
55-64 years | 87,247 | 0.087247 | |
65-74 years | 66,037 | 0.066037 | |
75-84 years | 44,842 | 0.044842 | |
85 years and over | 15,508 | 0.015508 | |
* Based on year 2000 projected population. Note that these weights only apply to the all ages population, the weights are calculated dynamically when age groups are selected. |
Year 1970 Standard Million Population for the United States | |||
Numbers and All Ages Proportions (Weights) * | |||
Age | Number | Weight | |
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All ages | 1,000,000 | 1.000000 | |
Under 1 year | 18,102 | 0.018102 | |
1-4 years | 66,314 | 0.066314 | |
5-14 years | 200,508 | 0.200508 | |
15-24 years | 174,406 | 0.174406 | |
25-34 years | 122,569 | 0.122569 | |
35-44 years | 113,614 | 0.113614 | |
45-54 years | 114,265 | 0.114265 | |
55-64 years | 91,480 | 0.091480 | |
65-74 years | 61,195 | 0.061195 | |
75-84 years | 30,112 | 0.030112 | |
85 years and over | 7,435 | 0.007435 | |
* Based on the year 1970 population. Note that these weights only apply to the all ages population, the weights are calculated dynamically when age groups are selected. |
Year 1940 Standard Million Population for the United States | |||
Numbers and All Ages Proportions (Weights) * | |||
Age | Number | Weight | |
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All ages | 1,000,000 | 1.000000 | |
Under 1 year | 15,343 | 0.015343 | |
1-4 years | 64,718 | 0.064718 | |
5-14 years | 170,355 | 0.170355 | |
15-24 years | 181,677 | 0.181677 | |
25-34 years | 162,066 | 0.162166 | |
35-44 years | 139,237 | 0.139237 | |
45-54 years | 117,811 | 0.117811 | |
55-64 years | 80,294 | 0.080294 | |
65-74 years | 48,426 | 0.048426 | |
75-84 years | 17,303 | 0.017303 | |
85 years and over | 2,770 | 0.002770 | |
* Based on the year 1940 population. Note that these weights only apply to the all ages population, the weights are calculated dynamically when age groups are selected. |
95% Confidence Intervals for Rates
You can request 95% confidence intervals calculated for mortality rates. The method for confidence intervals calculated for 100 or more deaths differs slightly from the method for confidence intervals calculated for 99 or fewer deaths.
Notes:
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The method for confidence intervals calculated for 100 or more deaths:
The lower 95% confidence interval is the crude death rate minus (1.96 times the standard error of the rate). The upper 95% confidence interval is the crude death rate plus (1.96 times the standard error of the rate). LCI = R - 1.96 * S (R)
UCI = R + 1.96 * S (R) -
The method for confidence intervals calculated for 99 or fewer deaths:
The lower 95% confidence interval is the crude death multiplied by the lower 95% confidence limit factor for a death rate based on a Poisson variable of the number of deaths. The upper 95% confidence interval is the crude death rate multiplied by the upper 95% confidence limit factor for a death rate based on a Poisson variable of the number of deaths. See Vital Statistics of the United States: Mortality, 1999: Technical Appendix Table S. LCI = R * L (0.95, D)
UCI = R * U (0.95, D) -
Where:
- LCI = lower 95% confidence interval
- UCI = upper 95% confidence interval
- R = crude death rate
R = (deaths / population) * 100,000 - D = the total number of deaths upon which the rate is based.
- RSE(R) = relative standard error of rate RSE(R) = 100 * square root of (1/D)
- S(R) = standard error of rate S(R) = R * (RSE(R) / 100)
- L = the lower 95% confidence limit factor for a death rate based on a Poisson variable of the number of deaths. See Vital Statistics of the United States: Mortality, 1999 Technical Appendix Table S.
- U = the upper 95% confidence limit factor for a death rate based on a Poisson variable of the number of deaths. See Vital Statistics of the United States: Mortality, 1999 Technical Appendix Table S.
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For more information, refer to
- Age-adjusted Death Rates: Trend Data Based on the Year 2000 Standard Population
- Vital Statistics of the United States: Mortality, 1999 Technical Appendix:
- See the "Random Variation and Sampling Errors" section for methods.
- See "Table S" for the upper and lower confidence limit factors for death rates based on a Poisson variable of the number of deaths.
Standard Error for Age-Adjusted Rates
You can request standard errors calculated for age-adjusted mortality rates.
Notes:
- S(R) = standard error of rate S(R) = R * (RSE(R)/100)
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Where:
- R = crude death rate
R = (deaths / population) * 100,000 - D = the total number of deaths upon which the rate is based.
- RSE(R) = relative standard error of rate RSE(R) = 100 * square root of (1/D)
- R = crude death rate
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For more information, refer to
- Age-adjusted Death Rates: Trend Data Based on the Year 2000 Standard Population
- Vital Statistics of the United States: Mortality, 1999 Technical Appendix, see the "Random Variation and Sampling Errors" section for methods.
Percent of Total
You can request to show percent of total as an optional statistical measure in "Step 1." This option adds a "Percent of Total" column to the results table, and each row shows the percentage that the number of deaths represented in the row contributes to the total number of deaths for that table. This measure is not available when suppression constraints apply to the data in the results table, such as when the deaths are suppressed for any single row in any categorical section in the table.
Additional Rate Options:
Click the "+" to open this section in section 1 on the Request Form tab. The options shown here vary, depending on the Measures you checked in section 1. Organize table layout on the Data Request tab. For example, to pick populations for weighting age-adjusted rates here, you must first check the box for age-adjusted rates in the Measures section.
Calculate Rates Per: |
Select the factor (multiplier) for your rates.
By default, all ages rates are calculated per 100,000 persons,
and rates limited to infant age groups are calculated per 1,000 persons.
How? See "How do I select items from the list box? |
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Standard Population: | If you picked standard populations for calculating age-adjusted rates, then
the list of possible standard populations used to calculate these age-adjusted rates is shown.
See Age-Adjusted Rates for more information.
How? See "How do I select items from the list box?," to limit your data to selected categories in the list. Note: When using standard populations, your request criteria must include data for the following ranges of ages: "5 - 14 years" and "15 - 24 years." Some of the age groups in the standard populations are aggregates of two age groups in the CMF data. When age-adjusted rates are calculated using the standard populations, the CMF deaths and populations counts are summed to match the standard population age groups. For example, the standard populations has a weight for the age group 15-24 years, so the CMF age groups 14-19 and 20-24 must be included in the request for age-adjusted rates (you cannot request age-adjusted rates only for persons 20 years and over). |
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Non-standard Population: |
If you picked to use a non-standard population for calculating age-adjusted rates,
then the options for selecting the non-standard population are displayed.
The non-standard population is derived from the population estimates in the CMF
(those used to compute crude rates).
You specify the year(s), gender(s), races(s), Hispanic origin(s), and location(s)
to be included in the non-standard population.
The selected population is the basis for the age-specific proportional weights
to calculate these age-adjusted rates.
See Frequently Asked Questions about Death Rates for more information.
How?
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Data are available for the United States by Region (Census or HHS), Census Division, State, County. Select the location(s) for the query, and the urbanization level, which classifies population density and other factors by county. Any number of locations can be specified here.
- Click a round button to switch between the State and County list, or the Census Region and Census Division list, or the HHS Region list.
- See How do I use a Finder? for more information.
- See Finder Tool help for more hints.
- The default is all values (the United States).
- The Advanced mode lets you easily pick several items from different parts of the list. Items are not selected until you click the "Move" button in Advanced mode. You may also enter values by hand, one code per line, in the Advanced mode. Use the Finder to see the correct code format. For example, 02 is the Alaska state code.
- The "plus" symbol, "+" indicates that you can open the item, to see more items below it.
- The results to a search are shown in blue, and indicated by ">".
Region
Regions are multi-state groups. For regional data, you can group by Region, or you can select any combination of individual regions. There are two types of regions available, Census Regions and Health and Human Services (HHS) Regions.
- See Location above for instructions.
- See also Group Results By in Step 1.
- Region is based on the person's legal state of residence at the time of death.
- The Regions are identified by both name and codes in data extracts.
Census Regions
The United States is split into 4 Census Regions: Northeast, Midwest, South and West. The states that comprise each region are shown below.- See Location above for instructions.
- See also Group Results By in Step 1.
- Census Region is based on the person's legal state of residence at the time of death.
- The Regions are identified by both name and codes in data extracts.
Census Division
Census Divisions are multi-state groups, sub-sets of Census Regions. You can group by Census Division, or select any combination of individual Census divisions.- See Location above for instructions.
- See also Group Results By in Step 1.
- Census Division is based on the person's legal state of residence at the time of death.
- The Census Divisions are identified by both name and codes in data extracts. To see all of the states in each Census Division, group the data by Census Division and by State.
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The United States is split into 9 divisions by the Census Bureau:
- Census Division 1: New England, (CENS-D1)
- Census Division 2: Middle Atlantic, (CENS-D2)
- Census Division 3: East North Central, (CENS-D3)
- Census Division 4: West North Central, (CENS-D4)
- Census Division 5: South Atlantic, (CENS-D5)
- Census Division 6: East South Central, (CENS-D6)
- Census Division 7: West South Central, (CENS-D7)
- Census Division 8: Mountain, (CENS-D8)
- Census Division 9: Pacific, (CENS-D9)
The states that comprise each Census Division are shown below.State FIPS Code Census Division 1: New England, (CENS-D1) Connecticut 09 Maine 23 Massachusetts 25 New Hampshire 33 Rhode Island 44 Vermont 50 Census Division 2: Middle Atlantic, (CENS-D2) New Jersey 34 New York 36 Census Division 3: East North Central, (CENS-D3) Illinois 17 Indiana 18 Michigan 26 Ohio 39 Wisconsin 55 Census Division 4: West North Central, (CENS-D4) Iowa 19 Kansas 20 Minnesota 27 Missouri 29 Nebraska 31 North Dakota 38 South Dakota 46 Census Division 5: South Atlantic (CENS-D5) Delaware 10 District of Columbia 11 Florida 12 Georgia 13 Maryland 24 North Carolina 37 South Carolina 45 Virginia 51 West Virginia 54 Census Division 6: East South Central (CENS-D6) Alabama 01 Kentucky 21 Mississippi 28 Tennessee 47 Census Division 7: West South Central (CENS-D7) Arkansas 05 Louisiana 22 Oklahoma 40 Texas 48 Census Division 8: Mountain (CENS-D8) Arizona 04 Colorado 08 Idaho 16 Montana 30 Nevada 32 New Mexico 35 Utah 49 Wyoming 56 Census Division 9: Pacific (CENS-D9) Alaska 02 California 06 Hawaii 15 Oregon 41 Washington 53 - Census Division 1: New England, (CENS-D1)
HHS Regions
The Department of Health and Human Services (HHS) groups the 50 states, the District of Columbia, and the U.S. territories into ten reporting regions, referred to as the HHS regions. Any number of locations can be specified here.
- See Location above for instructions.
- See also Group Results By in Step 1.
- The CMF does not have data for Puerto Rico or any of the U.S. territories. Therefore, data for Puerto Rico and the Virgin Islands are not included in HHS Region 2; data for Guam and American Samoa are not included in HHS Region 9.
- HHS Region is based on the person's legal state of residence at the time of death. When the data are exported, separate columns show both the label and the code for each value. To see the full list of labels and code values, request data grouped by this region for the "All" and export the results.
Health and Human Services (HHS) Regions | List of States |
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1 | Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont |
2 | New Jersey, New York (data for Puerto Rico, Virgin Islands are not included in CMF) |
3 | Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia |
4 | Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee |
5 | Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin |
6 | Arkansas, Louisiana, New Mexico, Oklahoma, Texas |
7 | Iowa, Kansas, Missouri, Nebraska |
8 | Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming |
9 | Arizona, California, Hawaii, Nevada (data for American Samoa and Guam are not included in CMF) |
10 | Alaska, Idaho, Oregon, Washington |
State
For state level data, you can select any combination of individual states. Or group by State and leave the Location Finder selection at the default (all locations or the 50 United States and the District of Columbia).- See Location above for instructions.
- See also Group Results By in Step 1.
- The state coded represents the person's place of legal residence at the time of death.
- The states and the District of Columbia are identified by both state name and Standard Federal Information Processing (FIPS) codes in data extracts. See About FIPS Codes below.
County
County-level data are available for the fifty states and the District of Columbia. In this step, you can select any combination of individual counties or leave the Location Finder at the default setting of "All Counties."- See Location above for instructions.
- See also Group Results By in Step 1.
- The county coded represents the person's place of legal residence at the time of death.
- The counties and the District of Columbia are identified by both county name and Standard Federal Information Processing (FIPS) codes in data extracts.
- About FIPS Codes: The FIPS State and county codes were established by the National Bureau of Standards, U.S. Department of Commerce in 1968. This standard set of codes provides names and codes for counties and county equivalents of the 50 States of the United States and the District of Columbia. Counties are considered to be the "first order subdivisions" of each State, regardless of their local designation (county, parish, borough, census area). Washington, D.C.; the consolidated government of Columbus City, Georgia; the independent cities of the States of Maryland, Missouri, Nevada, and Virginia; and the census areas and boroughs of Alaska are identified as county equivalents. The system is standard throughout the Federal Government. The State codes are ascending, two-digit numbers; the county codes are ascending three-digit numbers. For both the State and county codes, space has been left for new States or counties. Some changes in the FIPS codes have occurred since 1968. See Locations: About County Geography Changes for information on how these changes affect the Compressed Mortality data.
- About County Changes: Changes in county geography occur from time to time. Creation and deletion of counties results in missing data for those counties for some years. County boundary changes can result in substantial increases or decreases in the population of the affected counties and hence impact birth and death counts, population estimates, and birth and death rates for those counties. See Locations: About County Geography Changes for information on how county geography changes affect CMF data.
Urbanization
Use the radio buttons to select either the 2006 or the 2013 NCHS Urban-Rural Scheme for Counties. Select All Categories or any combination of values: Large Central Metro, Large Fringe Metro, Medium Metro, Small Metro, Micropolitan (non-metro), NonCore (non-metro). Each county is assigned to one of these six categories. Each death is associated with a category based on the county of the person's legal residence.
- Click the Radio Button above the box, to pick your preferred list.
- See "How do I select items from the list box?," to limit your data to selected categories in the list.
Notes:
- These categories are from the 2006 or 2013 NCHS Urban-Rural Classification Scheme for Counties.
- See the NCHS Urban-Rural Classification Scheme for Counties web page for more information about the Urbanization categories.
- The large central metro category contains counties in metropolitan statistical areas (MSAs) of one million or more population that have been identified by NCHS classification rules as central because they contain all or part of a principal city of the area. The large fringe metro category contains the remaining counties (similar to suburbs) in MSAs of one million or more. Counties in MSAs of 250,000 to 999,999 population are assigned to the medium metro category and counties in MSAs with populations under 250,000 are assigned to the small metro category. Nonmetropolitan counties that are designated by the Office of Management and Budget as belonging to a micropolitan statistical area are assigned to the micropolitan category and the remaining nonmetropolitan counties are assigned to the noncore category. The large central metro category is the most "urban" category and the noncore category is the most "rural" category.
- To understand how the classification schemes were developed, see:
- Most counties are in the same urbanization category for both the 2013 and 2006 schemes. However, for those counties whose category differs in the two schemes, some moved from a less urban to a more urban category, while others moved from a more urban category to a less urban category. For more information, see "Changes in county urbanization category: 2013 scheme versus 2006 scheme" in the report, 2013 NCHS Urban-Rural Classification Scheme for Counties.
- It is recommended that the micropolitan category not be aggregated with metropolitan categories.
- The Urbanization categories are identified by two columns, labels and codes, in data extracts.
Step 3. Select years and demographics:
- Age Group - infant age groups are also available.
- Gender - Female, Male
- Race - American Indian or Alaska Native, Asian or Pacific Islander, Black or African American, White.
For data before Vintage 2006, these 3 categories are available: Black / African American, Other Races Combined, White. - Hispanic Origin - Hispanic or Latino, Not Hispanic or Latino, Not Stated;
available in CMF Vintage 2006 and later releases only. - Year - 1999-200, or 1979-1998, or 1968-1978
choose between the 2013 or the 2006 NCHS Urban-Rural Classification Scheme for Counties,
available in CMF Vintage 2003 and later vintages only.
Age Groups
Use the radio buttons to select either the Age Group list or the Infant Age Groups list. From the selected list you can choose "All Ages" or any combination of the individual age groups in the list. "All Ages" from the Age Group list is the default.
- Age Group list - The following age groups are available from this list: all age groups, under 1 year, 1 - 4 years, 5 - 9 years, 10 - 14 years, 15 - 19 years, 20 - 24 years, 25 - 34 years, 35 - 44 years, 45 - 54 years, 55 - 64 years, 65 - 74 years, 75 - 84 years, 85 years and over, age not stated.
- Infant Age Groups list - The following age groups are available from this list: all infant age groups, under 1 day, 1 - 6 days, 7 - 27 days, 28 - 364 days.
- See "How do I use a radio button?", to pick your preferred list of categories.
- See "How do I select items from the list box?," to limit your data to selected categories in the list.
Notes:
- When an age group(s) is selected from the Infant Age Groups list, the number of live births (not the number of infants in the age category(ies)) is used as the denominator in rate computations. Thus, the denominator used for infant age group rate calculations is the same regardless of how many infant age groups are selected. When a rate is computed for an aggregate of several years, the number of live births for each year in the time period are summed together. For more information about infant age groups, see Mortality for Infants .
- For years 1999-2009: when an age group(s) is selected from the Age Group list, Census Bureau population estimates for each age group are used as the denominator in rate computations. When a rate is computed for an aggregate of several years, the population estimates for each year in the time period are summed together.
- For years 1965-1998: When an age group(s) is selected from the Age Group list, Census Bureau population estimates for each age group are used as the denominator in rate computations, except for the "under 1 year of age group". For the "under 1 year of age" group, the number of live births is used instead of the population estimate for this age group. When a rate is computed for an aggregate of several years, the population estimates for each year in the time period are summed together.
- Deaths with "Unknown" or "Not Stated" age are included in "All Ages" counts and rates, yet are not included in age-specific counts, age-specific rates or in any age-adjusted rates. See About "Not Stated" age or ethnicity for more information.
- Prior to August 2006, the number of live births had been substituted for the "under 1 year" age group population estimates for years 1999 and later.
- See Age-Adjusted Rates for a discussion on the use of age-groups in calculating age-adjusted rates. Note that some of the age groups available in the data are not available in the standard population tables used to calculate age-adjusted rates. Also, age-adjusted rates are not available for infant age groups.
- The age groups are identified by two columns, labels and codes, in data extracts.
Year
Pick any combination of years desired. Data are available for 1999 - 2015 in the Compressed Mortality online database with ICD 10 codes. Data are available for 1979 - 1998 in the Compressed Mortality online database with ICD 9 codes. Data are available for 1968 - 1978 in the Compressed Mortality online database with ICD 8 codes. The archive databases only contain through the final year available at the time of the release.
Gender
Select All Genders, Male, or Female
Note: The genders are identified by two columns, labels and codes, in data extracts.
Race
Select All Races or any combination of values. CMF 1999-2015, archive CMF 1999-2014, archive CMF 1999-2013, archive CMF 1999-2009, archive CMF 1999-2008, archive CMF 1999-2007 and archive CMF 1999-2006 have 4 bridged-race categories: American Indian or Alaska Native, Asian or Pacific Islander, Black or African American, White. CMF 1979-1998, archive CMF 1979-1998 and CMF 1965-1978 have 3 race categories: Black / African American, Other Races Combined, White.
Notes:
- See Race Reporting and Race and Ethnicity Questions for more information about the issues of race categories and ethnicity in the data.
- The Race categories are identified by two columns, labels and codes, in data extracts.
Hispanic Origin
Select All or any combination of 3 values: Hispanic or Latino, Not Hispanic or Latino, Not Stated. Hispanic Origin data are not available for CMF 1968-1978 or CMF 1979-1998 .
Notes:
- Deaths with unknown or "Not Stated" Hispanic origin are included in "All" counts and rates, and are not included in the Hispanic Origin specific counts and rates . See About "Not Stated" age or ethnicity for more information.
- See Race Reporting and Race and Ethnicity Questions for more information about the issues of race categories and ethnicity in the data.
- The Hispanic Origin categories are identified by two columns, labels and codes, in data extracts.
Step 4. Select cause of death:
- The default selection is the ICD chapters, subchapters, and codes list (ICD-8 Code List for years 1968-1978, ICD-9 Code List for years 1979-1998, ICD-10 Codes list for 1999 and later).
- The Selected Causes of Death or the ICD cause-of-death recode lists are also available (ICD-8 69 groups for years 1968-1978, ICD-9 72 groups for years 1979-1989, and ICD-10 113 groups for 1999 and later).
- The Injury Intent and Mechanism lists are available for year 1999 and later.
- Click the Radio Button above the box, to pick your preferred list.
- Select one or more items from the list to limit your data.
The default value for any list is all causes of death.
- See How do use a Finder? to learn more about search options, expanding or collapsing selected items, and displaying details for selected items in the Finder.
- The "plus" symbol, "+" indicates that you can open the item, to see more items below it.
- The results to a search are shown in blue, and indicated by ">".
- The Advanced mode let you easily pick several items from different parts of the list. Items are not selected until you click the "Move" button in Advanced mode.
- You may also enter values by hand, one code per line, in the Advanced mode. Use the Finder to see the correct code format. For example, "I20-I25" is the ICD-10 code for ischaemic heart diseases, and "GR113-059" is the Selected Causes of Death ICD-10 Group code for acute myocardial infarction.
- See Finder Tool help for more hints.
- When you select a code, note that some deaths are coded to the 3 digit code, and not the more detailed designation. Thus some deaths may be excluded from your data selection if your criteria are limited to only 4 digit codes. For example, the ICD-9 code 412 is the correct specification; 412.0 will not pick up deaths coded 412.
- The causes of death are identified by two columns, labels and codes, in data extracts.
-
About the International Classification of Diseases:
The mortality data on the CMF are compiled in accordance with the World Health Organization (WHO) regulations, which specify that member nations classify and code causes of death in accordance with the current revision of the International Statistical Classification of Diseases and Related Health Problems (ICD). The International Classification of Diseases is developed collaboratively between WHO and 10 international centers, for purposes of ensuring that medical terms reported on death certificates are internationally comparable and lend themselves to statistical analysis. The ICD has been revised approximately every 10 years since 1900 in order to reflect changes in understanding of disease mechanisms and in disease terminology. -
About the 9th and 10th ICD revisions:
The ICD-9 and ICD-10 classification systems are quite different. The ICD-9 system has a 4-digit numeric structure and about 5,000 categories for classifying cause-of-death. The ICD-10 system has a 4-digit alphanumeric coding structure and about 8,000 categories for classifying cause-of-death. Comparison of ICD-9 and ICD-10 shows that new chapters have been added to the ICD, old chapters have been rearranged, causes of death have been regrouped, and titles have changed. The differences between ICD-9 and ICD-10 make direct comparisons of cause-of-death difficult and result in discontinuities in cause-of-death trends. NCHS has conducted a comparability study to measure the discontinuities between the Ninth and Tenth Revisions and comparability ratios for major causes of death have been computed. Based on this work, comparability ratios have been calculated for selected causes. For further information please reference NCHS publications on Comparability of Cause-of-Death Between ICD Revisions. - For information on comparability of mortality causes between ICDA-8 and ICD-9, please see Estimates of Selected Comparability Ratios Based on Dual Coding of 1976 Death Certificates by the Eighth and Ninth Revisions of the International Classification of Diseases.
- See also ICD 10th revision notes, ICD 9th revision notes, and ICD 8th revision notes.
- Only those ICD codes that are used to classify causes of death in the National Vital Statistics System data are available in the Finder.
- Deaths in the years 1999 and later are coded to the Tenth Revision of the International Classification of Diseases (ICD-10). There are 113 selected causes of death groups for the ICD-10 codes.
- Deaths in the years 1979 - 1998 are coded to the Ninth Revision of the International Classification of Disease (ICD-9). There are 72 selected causes of death groups for the ICD-9 codes.
- Deaths in the years 1968 - 1978 are coded to the Eighth revision of the International Classification of Disease Adapted for Use in the United States (ICDA-8). There are 69 selected causes of death groups for the ICD-8 codes.
ICD-10 Codes
Limit the data to any number of causes of death, for selected chapters, sub-chapters or codes.
- The International Classification of Disease (ICD) 10th revision is used to represent the underlying cause of death for the years 1999 and later. The ICD system is organized by chapters, sub-chapters and codes.
- ICD-10 uses a 4 digit alphanumeric coding scheme. Each of the 21 chapters in ICD-10 is classified to a letter or letters of the alphabet. Infectious disease codes in Chapter 1, for example, begin with an "A" or "B". Thus, Acute poliomyelitis is associated with the codes A80.0-A80.9 and Viral hepatitis is classified as B15.0-B19.9. Most cause of death codes in the ICD-10 system have 4-digits and consist of a letter, followed by two numbers, followed by a decimal point and another number. Some codes have only 3-digits and consist of a letter followed by two numbers.
-
About changes in the ICD-10 codes:
The valid ICD-10 codes used to classify underlying cause of death change over time. Effective with the 2003 data year, 1 code was introduced. Effective with the 2006 data year, 18 codes were introduced as valid causes of death, and 4 codes were discontinued. Effective with the 2007 data year, 4 codes were introduced as valid causes of death, and 2 codes were discontinued. Effective with the 2009 data year, 5 codes were introduced as valid causes of death, and 11 codes were discontinued. Effective with the 2011 data year, 33 codes were introduced as valid causes of death.
ICD-10 Changes in Years 2003-2011 New causes of death in 2011 ICD-10 Code Title B17.9 Acute viral hepatitis, unspecified D68.5 Primary thrombophilia D68.6 Other thrombophilia D89.3 Immune reconstitution syndrome E88.3 Tumor lysis syndrome G14 Postpolio syndrome G21.4 Vascular parkinsonism H54.9 Unspecified visual impairment (binocular) I72.5 Aneurysm and dissection of other precerebral arteries J12.3 Human metapneumovirus pneumonia J21.1 Acute bronchiolitis due to human metapneumovirus K12.3 Oral mucositis (ulcerative) K35.2 Acute appendicitis with generalized peritonitis K35.3 Acute appendicitis with localized peritonitis K35.8 Acute appendicitis, other and unspecified L89.0 Stage I decubitus ulcer and pressure area L89.1 Stage II decubitus ulcer L89.2 Stage III decubitus ulcer L89.3 Stage IV decubitus ulcer L89.9 Decubitus ulcer and pressure area, unspecified N18.1 Chronic kidney disease, stage 1 N18.2 Chronic kidney disease, stage 2 N18.3 Chronic kidney disease, stage 3 N18.4 Chronic kidney disease, stage 4 N18.5 Chronic kidney disease, stage 5 N42.3 Dysplasia of prostate O14.2 HELLP syndrome O43.2 Morbidly adherent placenta O96.0 Death from direct obstetric cause occurring more than 42 days but less than one year after delivery O96.1 Death from indirect obstetric cause occurring more than 42 days but less than one year after delivery O96.9 Death from unspecified obstetric cause occurring more than 42 days but less than one year after delivery O97.0 Death from sequelae of direct obstetric cause O97.1 Death from sequelae of indirect obstetric cause O97.9 Death from sequelae of obstetric cause, unspecified O98.7 Human immunodeficiency [HIV] disease complicating pregnancy, childbirth and the puerperium X34.0 Victim of cataclysmic earth movements caused by earthquake X34.1 Victim of tsunami X34.8 Victim of other specified effects of earthquake X34.9 Victim of unspecified effect of earthquake New causes of death in 2009 ICD-10 Code Title A09.0 Other and unspecified gastroenteritis and colitis of infectious origin A09.9 Gastroenteritis and colitis of unspecified origin K52.3 Indeterminate colitis R26.3 Immobility R63.6 Insufficient intake of food and water due to self neglect New causes of death in 2007 ICD-10 Code Title J09 Influenza due to identified avian influenza virus U04.9 Severe acute respiratory syndrome [SARS], unspecified X59.0 Exposure to unspecified factor causing fracture X59.9 Exposure to unspecified factor causing other and unspecified injury New causes of death in 2006 ICD-10 Code Title B33.4 Hantavirus (cardio)-pulmonary syndrome [HPS][HCPS] G90.4 Autonomic dysreflexia I15.0 Renovascular hypertension I15.9 Secondary hypertension, unspecified K22.7 Barrett's esophagus K85.0 Idiopathic acute pancreatitis K85.1 Biliary acute pancreatitis K85.2 Alcohol-induced acute pancreatitis K85.3 Drug-induced acute pancreatitis K85.8 Other acute pancreatitis K85.9 Acute pancreatitis, unspecified M31.7 Microscopic polyangiitis M79.7 Fibromyalgia P91.6 Hypoxic ischemic encephalopathy of newborn R29.6 Tendency to fall, not elsewhere classified R50.2 Drug-induced fever R50.8 Other specified fever W46 Contact with hypodermic needle New causes of death in 2003 ICD-10 Code Title I27.2 Other secondary pulmonary hypertension
Discontinued causes of death in 2009ICD-10 Code Title A09 Diarrhea and gastroenteritis of infectious origin F11.0 Mental and behavioral disorders due to use of opioids, acute intoxication F12.0 Mental and behavioral disorders due to use of cannabinoids, acute intoxication F13.0 Mental and behavioral disorders due to use of sedatives or hypnotics, acute intoxication F14.0 Mental and behavioral disorders due to use of cocaine, acute intoxication F15.0 Mental and behavioral disorders due to use of other stimulants, including caffeine, acute intoxication F16.0 Mental and behavioral disorders due to use of hallucinogens, acute intoxication F17.0 Mental and behavioral disorders due to use of tobacco, acute intoxication F18.0 Mental and behavioral disorders due to use of volatile solvents, acute intoxication F19.0 Mental and behavioral disorders due to multiple drug use and use of other psychoactive substances, acute intoxication K51.1 Ulcerative (chronic) ileocolitis
Discontinued causes of death in 2007ICD-10 Code Title F10.0 Mental and behavioral disorders due to use of alcohol, acute intoxication X59 Exposure to unspecified factor
Discontinued causes of death in 2006ICD-10 Code Title I25.2 Old myocardial infarction K85 Acute pancreatitis R50.0 Fever with chills R50.1 Persistent fever
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About deaths due to acts of terrorism:
Beginning with data for 2001, NCHS introduced categories *U01-*U03 for classifying and coding deaths due to acts of terrorism. The asterisks before the category codes indicate that they are not part of the International Classification of Diseases, Tenth Revision (ICD-10). Description of the specific 4-digit codes can be found at NCHS Classifications of Diseases, Functioning and Disability: Appendix I. Deaths classified to the terrorism categories are included in the categories for Assault (homicide) and Intentional self-harm (suicide) in the 113 cause-of-death list. Additional information on these new categories can be found at NCHS Classifications of Diseases, Functioning and Disability: Classification of Death and Injury Resulting from Terrorism. Terrorism related deaths in this data do not represent a final count of deaths resulting from the terrorist attacks on September 11, 2001, as this figure had not been determined. As of October 24, 2002, death certificates were issued for 2,957 of the estimated 3,028 individuals believed to have died as a result of the September 11, 2001 attacks. Of these, four were issued for terrorists and are classified as suicides. The criteria for issuing a death certificate for those believed to have died in the attacks differed by state, reflecting differences in state laws regarding death certification. Pennsylvania issued a death certificate for every individual, including the terrorists. Death certificates were not issued for any of the terrorists in Virginia or New York City. Virginia issued a death certificate only for those victims whose remains were identified. New York City issued a death certificate for those whose remains were identified or, if remains were not recovered, for those whose families applied for a death certificate. For more detailed information regarding New York City's processing of these deaths, see Deaths in World Trade Center Terrorist Attacks---New York City, 2001. -
About deaths due to pulmonary hypertension:
The World Health Organization (WHO) added code I27.2 in 2003. Prior to 2003, if the certifier listed "secondary pulmonary hypertension" the condition would be coded I27.0 because there was no code for secondary pulmonary hypertension. After code I27.2 was added in 2003, the number of deaths coded to I27.0 dropped significantly.
ICD-9 Codes
Limit the data to any number of causes of death, for selected chapters, sub-chapters or codes.
- The International Classification of Disease (ICD) 9th revision is used to represent the underlying cause of death for the years 1979 - 1998. The ICD system is organized by chapters, sub-chapters and codes. For a further description of the ICD-9 codes see Volume II of the annual mortality volumes produced by the NCHS, such as Vital Statistics of the United States, 1988, Volume II - Mortality.
-
About Deaths due to Injuries and Poisoning in ICD-9:
For deaths due to injuries and poisonings that occurred during 1979-1998, the external cause is coded (E800-E999) rather than the Nature of Injury (800-999). The letter "E" is included in the ICD-9 code in CDC WONDER. - Most cause of death codes in the ICD-9 system have 4-digits and consist of three numbers, followed by a decimal point and another number. Some codes have only 3-digits and consist of three numbers.
ICDA-8 Codes
Limit the data to any number of causes of death, for selected chapters, sub-chapters or codes.
- The International Classification of Disease Adapted for Use in the United States 8th Revision (ICDA-8) is used to represent the underlying cause of death for the years 1968 - 1978. The ICDA-8 system is organized by chapters, sub-chapters and codes. For a further description of the ICD-8 codes see Volume II of the annual mortality volumes produced by the NCHS, such as Vital Statistics of the United States, 1978, Volume II-Mortality.
- For information on comparability of mortality causes between ICDA-8 and ICD-9, please see Estimates of Selected Comparability Ratios Based on Dual Coding of 1976 Death Certificates by the Eighth and Ninth Revisions of the International Classification of Diseases.
-
About Deaths due to Injuries and Poisoning in ICDA-8:
For deaths due to injuries and poisonings that occurred during 1968-1978, the external cause is coded (E800-E999) rather than the Nature of Injury (800-999). The letter "E" is included in the ICD-8 code in CDC WONDER. - Most cause of death codes in the ICDA-8 system have 4-digits and consist of three numbers, followed by a decimal point and another number. Some codes have only 3-digits and consist of three numbers.
ICD-10 113 Groups
Limit the data to any number of groups of selected causes of death.
Hint: Group the data by "ICD-10 113 Groups" and also by "Cause of Death" to see the individual ICD codes included in each category.
Notes:
- NCHS developed the mortality tabulation lists for use in mortality analyses. The 113 selected causes of death list was designed to: 1) maintain continuity with the ICD-9 72 selected causes of death list, 2) to facilitate trend analysis, and 3) to separately identify causes of death that are of public health and medical importance.
- Note that the ICD-10 113 groups have been adapted for the Injury Mechanisms categories. Some groups have been combined to make for inclusive categories, such as Motor Vehicle Traffic, Heart Disease and Tuberculosis. You may find it easier to select these broader categories of causes of death from the list under Injury Mechanism & All Other Leading Causes.
- Changes in the 113 selected causes of death list associated with updates to the ICD-10 codes are discussed in the Technical Notes of each annual report (1-14); additional detail is available from: http://www.who.int/classifications/icd/icd10updates/en/index.html.
ICD-9 72 Groups
Limit the data to any number of groups of selected causes of death.
Hint: Group the data by "ICD-9 72 Groups" and also by "Cause of Death" to see the individual ICD codes included in each category.
Note: NCHS developed the mortality tabulation lists for use in mortality analyses. The 72 selected causes of death list was designed to: 1) maintain continuity with the ICD-9 69 selected causes of death list, 2) to facilitate trend analysis, and 3) to separately identify causes of death that are of public health and medical importance.
ICDA-8 69 Groups
Limit the data to any number of groups of selected causes of death.
Hint: Group the data by "ICD-8 69 Groups" and also by "Cause of Death" to see the individual ICD codes included in each category.
Note: NCHS developed the mortality tabulation lists for use in mortality analyses. The 69 selected causes of death list was designed to: 1) to facilitate trend analysis, and 2) to separately identify causes of death that are of public health and medical importance.
Injury Intent and Mechanism
Limit your data for any of the following data elements:
About the External Cause of Injury Mortality Matrix:For the analysis of injury mortality data, all causes of death have been classified by intent and by mechanism. The causes of death that are not related to injuries have been categorized as non-injuries, and are categorized in keeping with the 113 selected causes of death groups for ICD-10. The groups of injury mechanisms are different from those based on the "113 Selected Causes of Death" for ICD-10 codes. The groupings are based on the External Cause of Injury Mortality Matrix. In addition, some non-injury groups have been combined to make for broader categories, such as Heart Disease and Tuberculosis.
For more information, see: External Cause of Injury Mortality Matrix.
Note: Injury intent and Mechanism categories are not available for the ICD-8 codes in years 1968-1978.
Injury Intent
Limit the data to any number of categories.
- Click the Radio Button to pick your preferred list.
- Select one or more items from the list to limit your data. Use Ctrl + Click for multiple selections, or Shift + Click for a range.
Notes:
- Group the data by "Injury Intent" and also by "Cause of Death" to see the individual ICD codes included in each category.
- Refer to External Cause of Injury Mortality Matrix for more information.
- Injury intent and Mechanism categories are not available for the ICD-8 codes in years 1968-1978.
Injury Mechanism & All Other Leading Causes
Limit the data to any number of groups of selected causes of death.
- Click the Radio Button to pick your preferred list.
- Select one or more items from the list to limit your data. Use Ctrl + Click for multiple selections, or Shift + Click for a range.
Notes:
- Group the data by "Injury Mechanism" and also by "Cause of Death" to see the individual ICD codes included in each category.
- NCHS has defined selected causes of death groups for analysis of injury mortality data. The groups of injury mechanisms are different from those based on the "113 Selected Causes of Death" for ICD-10 codes. The groupings are based on the External Cause of Injury Mortality Matrix. In addition, some non-injury groups have been combined to make for broader categories, such as Heart Disease and Tuberculosis.
- Refer to External Cause of Injury Mortality Matrix for more information.
- Injury intent and Mechanism categories are not available for the ICD-8 codes in years 1968-1978.
- In order to allow analysis of Injury Mortality across a larger span of years, the ICD-9 codes that classify the underlying cause of death for years 1979 - 1998 have been categorized to be compatible with the ICD-10 External Cause of Mortality Matrix. The categories in WONDER differ slightly from the original ICD-9 External Cause of Mortality Matrix, as follows:
ICD-9 Codes and Updated Injury Mechanism Categories | ||
---|---|---|
ICD-9 Code Values | Categories in the original ICD-9 External Cause Mortality Matrix |
Categories compatible with the ICD-10 External Cause of Mortality Matrix |
E990 | Other specified and classifiable, legal intervention | Fire or hot object or substance, legal intervention |
E800 - E807(.0,.1,.8,.9), E820 - E825(.0 - .5,.8,.9), E826(.2 - .8), E827 - E829(.2 - .9) | Transport, other, unintentional | Other land transport, unintentional |
E846 | Other specified and classifiable, unintentional | Other land transport, unintentional |
E958.5 | Motor Vehicle Traffic, suicide | Other land transport, suicide |
E988.5 | Motor Vehicle Traffic, undetermined | Other land transport, undetermined |
E830 - E832 | Drowning, Unintentional | Other transport, unintentional |
E847 - E848 | Other specified and classifiable, unintentional | Other transport, unintentional |
E994 | Other specified and classifiable, legal intervention | Other transport, legal intervention |
E958(.3) | Natural or environmental, suicide | Other specified classifiable, suicide |
E958(.6) | Transport, other, suicide | Other specified, not elsewhere classified, suicide |
E988(.3) | Natural or environmental, undetermined | Other specified classifiable, undetermined |
E988(.6) | Transport, other, undetermined | Other specified, not elsewhere classified, undetermined |
Step 5. Other options:
Export Results: | If checked query results are exported to a local file. More information on how to import this file into
other applications can be found here.
How? See How do I use a checkbox? |
|
Show Totals: |
If checked totals and sub-totals will appear in the results table.
How? See How do I use a checkbox? |
|
Show Zero Values: |
If checked rows containing zero counts will appear in the results table.
If unchecked, zero count rows are not displayed.
However, this general feature is superseded by suppression constraints:
Sub-national vital statistics data representing fewer than ten persons (0-9) are suppressed for year 1989 and later years. See Assurance of Confidentiality for more information. How? See How do I use a checkbox? |
|
Precision: |
Select the precision for rate calculations.
When the rate calculated for a small numerator (incidence count) is zero,
you may increase the precision to reveal the rate
by showing more numbers to the right of the decimal point.
How? See "How do I select items from the list box?," to limit your data to selected categories in the list. |
|
Data Access Timeout: |
This value specifies the maximum time to wait for the data access for
a query to complete. If the data access takes too long to complete,
a message will be displayed and you can increase the timeout or
simplify your request. If you can't complete a request using the
maximum timeout, contact user support and we will try to run a
custom data request for you.
How? See "How do I select items from the list box?," to limit your data to selected categories in the list. |
Data Source Information
Mortality Data Sources: |
The Compressed Mortality File is produced by the
National Center for Health Statistics (NCHS)
Office of Analysis and Epidemiology (OAE) at the
Centers for Disease Control and Prevention (CDC).
Mortality information is collected by state registries and
provided to the National Vital Statistics System.
Underlying cause of death and demographic
descriptors are indicated on the death certificates.
To learn more about the methods and source of these data please reference: |
|
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Population Denominator Data Sources: |
The population estimates on the CMF are based on Bureau of the Census estimates of
total U.S., State, and county resident populations.
The 1968 and 1969 State and county population estimates were calculated by NCHS using linear extrapolation.
The 1970, 1980, 1990, 2000, and 2010 population estimates are April 1 modified census counts.
The estimates for 1971-79, 1981-89, 1991-99, and 2001-2009 are intercensal estimates of July 1 resident populations.
The national population estimates for 2011 are Vintage 2011 postcensal estimates of July 1 resident populations.
The national population estimates for 2012 are Vintage 2012 postcensal estimates of July 1 resident populations.
The national population estimates for 2013 are Vintage 2013 postcensal estimates of July 1 resident populations.
The national population estimates for 2014 are Vintage 2014 postcensal estimates of July 1 resident populations.
The national population estimates for 2015 are Vintage 2015 postcensal estimates of July 1 resident populations.
The region, state and county estimates for years
2011, 2012, 2013, 2014 and 2015 are Vintage 2015 postcensal estimates of July 1 resident populations.
Note that the estimates for 1991 and later are based on bridged-race categories.
The population estimates on the CMF are by geographic unit (total United States, State, and county), year, race (white, black, other races), sex, and age group (13 age groups).
To permit the calculation of infant mortality rates, NCHS live-birth data are included on the file.
For more information on the population estimates, see Compressed Mortality File: Population Data. |
Population Estimates on the Compressed Mortality File
Reference the following topics to learn more about population denominators for rate calculation:Population Information for the Current Release
About Population Migration due to Hurricanes in 2005
Compressed Mortality File Archives: About the 1990-based Postcensal Population Data
If you have additional questions about the population estimates, please see U.S. Census Populations With Bridged Race Categories (http://www.cdc.gov/nchs/nvss/bridged_race.htm) or contact PopEst@cdc.gov.
Population Information for the Current Release
The population data on the CMF are derived from U.S. Census Bureau files. The population estimates for the Census years: 1970, 1980, 1990, 2000, and 2010 are April 1, modified census counts. The population estimates for the non-Census years: 1968-69, 1971-79, 1981-89, 1991-99, and 2001-2009 are intercensal estimates of the July 1, resident population. The population estimates for 2011-2015 are postcensal estimates of the July 1, resident population.
Population estimates for year 1999 and later years are from the bridged-race population series, with estimates for four single-race categories (white, black or African American, American Indian or Alaska Native, Asian or Pacific Islander). For more information, see About Bridged-race Population Estimates.
The following modifications of the Census population estimates were made by NCHS for CMF:
- To permit the calculation of infant mortality rates, NCHS live-birth data are included for "Infant age Groups." The race code for these records is derived from the race of mother.
- When the age group 1-4 years did not appear on the Census file, the age group 0-4 years was multiplied by 0.8 to obtain an estimate of the population 1-4 years.
- For the years 1988 through 1991, there was an additional county in Georgia with a "missing" county code of "999". This county was assigned a population count of zero.
- Geographic changes that create new counties or delete old counties often are implemented in the population files before they are implemented in the mortality files. As a result, county FIPS codes for some counties on the Census population files have been modified so that the FIPS codes on the CMF population and mortality file match. For more information, see County Geography Changes.
Specific Details
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1968-1969 Population Estimates
National population estimates are U.S. Bureau of the Census intercensal estimates of the July 1 resident population. State and county population estimates were calculated by NCHS using linear extrapolation from the corresponding July 1, 1970 and July 1, 1971 estimates. Source: Current Population Reports, Series P-2, Number 519), rounded to the nearest 1,000, of the July 1, 1968 and July 1, 1969 resident population of the U.S. by 5-year age group (under 1, 1-4, 5-9, ..., 85+ years), sex, and race (White, Black, Other races). NCHS live-birth counts were substituted for the estimates of the population under 1 year of age; the live-birth counts were not rounded.
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1970 Population Estimates
National, state, and county population estimates are from a modified version of the April 1, 1970 census. Live birth counts were substituted for the estimates of the population under 1 year of age. The original census counts were modified by the U.S. Bureau of the Census to produce a special census file of the April 1, 1970 resident population by 5-year age group (0-4, 5-9, ..., 85+), sex, and race (White, Black, Other races) and to correct errors in the data:
- Numerous small changes at the county and sub-county level were made to the original census file to correct errors discovered after publication of the original data. These changes resulted in an increase of 93,494 persons in the total U.S. population.
- The race classifications for the 1970 and 1980 census data were adjusted to be consistent with each other and with vital statistics. Some 327,000 persons of Hispanic origin who reported their race as "Other" (race not specified) were transferred to "White". The Black population was not affected by the race adjustment.
- Some 103,000 persons who reported their age as over 100 years had their age recoded to between 85 and 100 years. This adjustment did not affect this file because the oldest age group on the file is 85 years and over.
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1971-1979 Population Estimates
National and county estimates are U.S. Census Bureau intercensal estimates of the July 1 resident population. The Census Bureau did not produce state population estimates by age, race, and sex for the 1970s. Therefore, the state population estimates for 1979 are simply the sum of population estimates of the counties in each state.
- For 1979, the Census Bureau produced a national series of estimates and a county series of estimates. While these series are consistent with each other, the sum of the population estimates for all counties may not equal the national population estimates. This is due to rounding error that results because fractional estimates are not allowed. The Census Bureau recommends that national population estimates be used to calculate national death rates and county population estimates be used to calculate county death rates. CDC WONDER does this automatically.
- For 1979, NCHS used national population estimates rounded to the nearest thousand to calculate published death rates. The population estimate used by NCHS to calculate the death rate of an aggregate group (e.g. aggregated across race, gender, or age) was obtained by summing unrounded population estimates for each group in the aggregate and then rounded to the nearest 1,000. Unfortunately, the national population estimates available for use in the CMF for 1979 are all prerounded to the nearest 1,0000. This means that the population estimates for aggregate groups are obtained by summing rounded population estimates, rather than by summing unrounded population estimates and then rounding. As a result, for 1979, some rounding error may result when aggregating across race, gender, or age groups as summing rounded numbers may result in a different total than summing unrounded numbers and then rounding.
- Three Virginia independent cities (Manassas, Manassas Park, and Poquoson) did not appear on the Census file. Therefore, the 1979 populations for these three cities were estimated from the July 1, 1980 and July 1, 1981 estimates of these cities. The 1979 population estimates for the counties containing the cities were reduced by the estimated city populations.
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1980 Population Estimates
National, state, and county population estimates are from a modified version of the April 1, 1980 census The national and state estimates are the sum of the county population counts. The original census counts were modified by the U.S. Census Bureau so that persons who reported their race as "other" (the majority of these persons being of Hispanic ethnicity) were reassigned to one of the four single-race groups specified in the Office of Management and Budget (OMB) 1977 Standards on Race and Ethnicity: White, Black, American Indian or Alaska Native, and Asian or Pacific Islander.
- For 1980, NCHS used unrounded population estimates to calculate national death rates. Therefore, on the CMF, the national population estimates used in rate calculation and displayed are unrounded.
- April 1, 1980 population estimates for three Virginia independent cities, (Manassas, Manassas Park, and Poquoson) had to be extrapolated from July 1, 1980 estimates. The April 1 populations for the three cities were calculated as a proportion of the April 1 county population, where the proportion was calculated from the July 1, 1980 estimates. The April 1 population estimates for the counties containing the three cities were reduced by the cities estimated April 1 populations.
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1981-89 Population Estimates
National, state, and county estimates are U.S. Census Bureau intercensal estimates of the July 1 resident population.
- For 1981-89, the U.S. Census Bureau has separate series of estimates for each geographic level of estimates (i.e. national, state, and county). While these series are consistent with each other, the sum of the population estimates of counties within a state may not equal the state population estimate, and the sum of all state population estimates or all county population estimates may not equal the national population estimates. This is due to rounding error that results because fractional estimates are not allowed. The Census Bureau recommends that national population estimates be used to calculate national death rates, state population estimates be used to calculate state death rates, and county population estimates be used to calculate county death rates. CDC WONDER does this automatically.
- For 1981-89, NCHS used national population estimates rounded to the nearest thousand to calculate published death rates. The population estimate used by NCHS to calculate the death rate of an aggregate group (e.g. aggregated across race, gender, or age) was obtained by summing unrounded population estimates for each group in the aggregate and then rounding to the nearest 1,000. This is also done on the CMF in CDC WONDER, and thus, for these years, national death rates calculated on CDC WONDER agree with those published by NCHS.
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1990 Population Estimates
National, state, and county population estimates are from the April 1, 1990 age-race-sex modified census counts (national and state estimates are the sum of the county census counts). The original census counts were modified by the U.S. Census Bureau:
- To correct the bias in reported age -- about 10 percent of persons were actually a year younger as of April 1 than reported;
- To assign persons who reported their race as "other" to one of the four single-race groups specified in the Office of Management and Budget (OMB) 1977 Standards on Race and Ethnicity: White, Black, American Indian or Alaska Native, and Asian or Pacific Islander.
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1991- 1999 Population Estimates
For CMF 1979-1998 and CMF 1999-2015, national, state, and county population estimates are U.S. Census Bureau bridged-race intercensal estimates of the July 1, resident population, based on the 1990 census and the bridged-race 2000 census. Derivation of the race-specific intercensal population estimates for the 1990s was complicated by the incomparability of the race data on the 1990 and 2000 censuses. Before the intercensal estimates for the 1990s could be derived, the race groups on the 2000 census had to be made consistent with ("bridged to") the race groups on the 1990 census. Race data on the 2000 Census were collected in accordance with the 1997 Office of Management and Budget's standards on race and ethnicity. The 1997 standards specify 5 single-race categories (American Indian or Alaska Native, Asian, Black or African American, Native Hawaiian or Other Pacific Islander, and White) and permit the reporting of more than one race. As a result, there were 31 race groups on the 2000 census (5 single-race groups and 26 multiple-race groups). NCHS, in collaboration with the Census Bureau, developed methodology for bridging the multiple-race groups to single-race categories (American Indian or Alaska Native, Asian or Pacific Islander, Black, and White). The 1990 census race groups are White, Black, American Indian or Alaska Native, and Asian or Pacific Islander.
- The national and state estimates are the sum of the bridged-race county estimates.
- Prior to September 2003, the population estimates on the CMF for the years 1991-1999 (CMF 1979-1998 and CMF 1999) were postcensal estimates based on the 1990 census.
- Refer to Description of the 1990-based Postcensal Population Data for more information.
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2000 Population Estimates
National, state, and county population estimates are from the U.S. Census Bureau April 1, bridged modified race 2000 Census counts.
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2001 - 2009 Population Estimates
The population estimates for 2001-2009 are July 1 resident population estimates from the U.S. Census Bureau's revised bridged-race intercensal series, based on the year 2000 and the year 2010 census counts (released by NCHS on 10/26/2012).
The bridged-race population files have estimates for the four single-race categories (White, Black, American Indian or Alaska Native, and Asian or Pacific Islander).
For the current release of the 1999-2015 data, the national, region, division, and state estimates were obtained by summing the county estimates of the revised intercensal 2001-2009 series, so the national, region, division, state and county estimates are consistent with each other.
See CMF Archives for more information on the population estimates in previous releases.
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2010 Population Estimates
National, state, and county population estimates are from the U.S. Census Bureau April 1, bridged modified race 2010 Census counts. The original census counts were modified by the U.S. Census Bureau to assign persons who reported their race as "other" to one of the 31 single or multiple-race groups specified in the Office of Management and Budget (OMB) 1997 Standards on Race and Ethnicity. The resulting counts were then bridged to (made consistent with) the four single-race categories (White, Black, American Indian or Alaska Native, and Asian or Pacific Islander).
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2011 Population Estimates
National estimates for 2011 are from the U.S. Census Bureau's bridged-race Vintage 2011 postcensal series. The region, division, state and county 2011 population estimates are from the Vintage 2015 series.
- Region, division, and state estimates were obtained by summing the county estimates from the Vintage 2015 series.
- National population estimates were obtained by summing the county estimates from the Vintage 2011 postcensal series.
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2012 Population Estimates
National estimates for 2012 are from the U.S. Census Bureau's bridged-race Vintage 2012 postcensal series. The region, division, state and county 2012 population estimates are from the Vintage 2015 series.
- Region, division, and state estimates were obtained by summing the county estimates from the Vintage 2015 series.
- National population estimates were obtained by summing the county estimates from the Vintage 2012 postcensal series.
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2013 Population Estimates
National estimates for 2013 are from the U.S. Census Bureau's bridged-race Vintage 2013 postcensal series. The region, division, state and county 2013 population estimates are from the Vintage 2015 series.
- Region, division, and state estimates were obtained by summing the county estimates from the Vintage 2015 series.
- National population estimates were obtained by summing the county estimates from the Vintage 2013 postcensal series.
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2014 Population Estimates
National estimates for 2014 are from the U.S. Census Bureau's bridged-race Vintage 2014 postcensal series. The region, division, state and county 2014 population estimates are from the Vintage 2014 series.
- Region, division, and state estimates were obtained by summing the county estimates from the Vintage 2015 series.
- National population estimates were obtained by summing the county estimates from the Vintage 2014 postcensal series.
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2015 Population Estimates
National estimates for 2015 are from the U.S. Census Bureau's bridged-race Vintage 2015 postcensal series. The region, division, state and county 2014 population estimates are from the Vintage 2015 series.
- Region, division, and state estimates were obtained by summing the county estimates from the Vintage 2015 series.
- National population estimates were obtained by summing the county estimates from the Vintage 2015 postcensal series.
Effect of Hurricanes in 2005 on Archive Population Estimates:
The methodology changes implemented for Vintage 2007-Vintage 2009 affect comparison of population estimates across the three vintages, as well as comparison of the estimates from these vintages with those from earlier vintages. At the national level, the methodology changes implemented for Vintage 2009 resulted in an upward shift of the Vintage 2009 postcensal population estimates when compared to those from the Vintage 2008 series. At the State and county level, some race and age groups experienced substantial changes (comparison of July 1, 2008 estimates from the Vintage 2008 series with the July 1, 2008 and July 1, 2009 estimates from the Vintage 2009 series). The net impact of the methodology changes implemented for Vintage 2008 was a downward shift of the Vintage 2008 postcensal population estimates when compared to those from the Vintage 2007 series. The net impact of the methodology changes implemented for Vintage 2007 series was a downward shift when compared to the Vintage 2006 estimates.
For the archive CMF 1999-2009, archive CMF 1999-2007 and the archive CMF 1999-2006: The 2005 population estimates for Alabama, Louisiana, Mississippi and Texas reflect population changes that occurred after Hurricane Katrina and Rita in 2005. To accommodate geographic shifts of the Alabama, Louisiana, Mississippi, and Texas populations resulting from Hurricanes Katrina and Rita in 2005, the U.S. Census Bureau developed adjustments in the methodology for state and county population estimates. See methodology for more information.
For the archive CMF 1999-2005: The 2005 population estimates for Alabama, Louisiana, and Mississippi do not reflect population changes that occurred after Hurricane Katrina. The July 1st 2005 population estimates for Alabama, Louisiana, and Mississippi do not reflect population changes that occurred after Hurricane Katrina on August 29, 2005. The populations of these three states and of Orleans parish in Louisiana, Baldwin and Mobile counties in Alabama, and George, Harrison, and Rankin counties in Mississippi were reduced following Hurricane Katrina; East Baton Rouge parish in Louisiana had an increased population. As a result, 2005 death rates for these areas (except East Baton Rouge) calculated using the population estimates on this file will be too low; the death rates calculated for East Baton Rouge will be somewhat too high. Death rates for Orleans parish are especially affected. At the time of the CMF 1999-2005 release, alternative population estimates for these areas were being developed by the National Cancer Institute.
Description of the 1990-based Postcensal Population Data in Archived CMF
In the archive data, the national, state, and county estimates for 1991-99 are postcensal estimates developed by the U.S. Census Bureau. Postcensal population estimates are estimates made for the years following a decennial census before the next census has been taken. The Census Bureau annually produces postcensal estimates of the population for various levels of geography and demographic detail. The estimates produced in this annual production cycle are collectively referred to as a series of estimates, and the current series of estimates is referred to by the last year in the series. Each series contains estimates for each year from the census year forward, so each new series contains estimates for all of the years in the previous series. The estimates in a given series may not be the same as the estimates in the previous series. For example, the 1998 series of state and county estimates contains estimates for 1997 which in some cases differ substantially from the estimates for 1997 released in the 1997 series of estimates.
- National estimates for 1991-1999 in the archive data:
The postcensal national estimates on the archived CMF 1979-98,CMF 1999, and CMF 1999-2001 are the same as those used by NCHS to calculate published death rates. Each year when the CMF was updated, national estimates for the new year were added to the file and the estimates for previous years were retained. As a result, the postcensal national estimates for the archive 1991-1999 CMF are from different series of estimates, as outlined below.- The national estimates of the July 1, 1991 resident population of the U.S. are from the 792I series of intercensal estimates developed by the U.S. Census Bureau. They are consistent with the postcensal estimates for that year produced shortly thereafter.
- The national estimates for July 1, 1992 are from the 1990-93 annual time series described in Population Division Product PPL-8.
- The national estimates for July 1, 1993 are from the 1990-94 annual time series.
- The July 1, 1994 and July 1, 1995 national estimates are from the 1990-95 annual time series described in Population Division Product PPL-41.
- The July 1, 1996 national estimates are from the 1990-96 annual time series described in Population Division Product PPL-57.
- The July 1, 1997 national estimates are from the 1990-97 annual time series described in Population Division Product PPL-91R.
- The July 1, 1998 national estimates are from the 1990-98 annual time series.
- The July 1, 1999 national estimates are from the 1990-99 annual time series.
- State estimates for 1991-1999 in the archive data:
The state estimates are from the 1990-1999 annual time series of postcensal estimates of the July 1 resident population of the 50 States and the District of Columbia prepared by the U.S. Census Bureau. - County estimates for 1991-1999 in the archive data:
The county estimates are from the U.S. Census Bureau 1990-99 annual time series of postcensal estimates of the July 1 resident population of the 3,141 counties in the U.S. (as defined in 1990).
Frequently Asked Questions about Compressed Mortality
The questions are in three sections:
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How are crude death rates calculated in WONDER?
The "crude death rate" is the number of deaths divided by the population, multiplied by 100,000.
Crude Death Rate = (number of deaths / population) * 100,000
Note: 100,000 is the default multiplier, other multipliers can be specified in the query.
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How are age-adjusted death rates calculated in WONDER?
The age-adjusted rate is calculated by multiplying the age-specific death rate for each age group by the corresponding weight from the specified standard population, summing across all age groups, and then multiplying this result by 100,000 (or whatever multiplier is specified in the query).
Age-Adjusted Death Rate = Sum of (Age Specific Death Rate * Standard Population weight) * 100,000
The age-specific death rate is the number of deaths for a given age group divided by the population of that age group.
Age Specific Death Rate = (number of deaths in age group / population of age group)
The "standard population weight " for an age group is calculated by dividing the population for the age group by the sum of the populations for all of the age groups in the query. Please see the question below on "children under 1 year" age categories.
Standard Population Weight = population for age group
/ sum of age group populations for all age groups in querySee http://seer.cancer.gov/seerstat/tutorials/aarates/definition.html for a step-by-step tutorial with an example of the calculations.
Note that the precision of the age-specific death rate is rounded to 1 decimal place, before proceeding to the next step in the calculation of age-adjusted death rates for NCHS Detailed Mortality and NCHS Multiple Cause of Death on WONDER, in order to match rates in NCHS publications. However, Compressed Mortality on WONDER does not round the age-specific death rate. Slight differences may be noted when comparing age-adjusted deaths rates. This rounding step may have a more noticeable effect on the precision of rates calculated for small numbers of deaths.
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What are the "Standard" and "Non-Standard" populations?
WONDER allows the user to select the population distribution used for calculating age-adjusted rates. Three "Standard" populations are offered: the year 2000 standard population (the default), the 1970 standard population, and the 1940 standard population. Alternatively, the user can specify a "Non-Standard" population for use as the population distribution in the age-adjustment.
The 1940 and 2000 standard populations were obtained from the National Center for Health Statistics. Beginning with the 1999 data year, NCHS adopted the year 2000 projected population of the U.S. as the standard population for use in age adjusting death rates. The year 2000 standard replaced the 1940 standard population that had been used for over 50 years. The new population standard affects levels of mortality, and to some extent, trends and group comparisons.
The 1970 standard population is the one used by the National Cancer Institute.
When the user requests that a "non-standard " population is used in the calculation of age-adjusted rates, WONDER uses the Census population estimates/counts included in the Compressed Mortality File to determine the weights used in the age-adjustment. See Population Data Description for more information.
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What age categories are used for age-adjusted rates?
Only age groups that fall within the age range specified in the query are used to calculate an age-adjusted rate. The "total population" for a query is the sum of the populations of each age group included in that query. For example, if an age-adjusted rate is requested for 45-74 year olds, then the total population is the sum of the 45-54 year olds, 55-64 year olds, and 65-74 year old populations. For the 1940, 1970 and 2000 standard populations, the possible age groups are:
less than 1 year, 1-4, 5-14, 15-24, 25-34, ....85 years and over.
If the user specifies a "non-standard" population for use in age-adjustment, the possible age groups are:
less than 1 year, 1-4, 5-9, 10-14, 15-19, 20-24, 25-34, ....85 years and over.
Note that age groups differ from the age groups used for "standard" years, affecting the classification of deaths in the age range from 5 years to 24 years of age.
See Age Adjustment of Death Rates for more information.
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What about children under 1 year and rate calculation?
When calculating mortality rates for "Infant Age Groups" (under 1 day, 1-6 days, 7-27 days, 28-264 days), the population is the number of live births in the given time period.
Notes:
- Age-adjusted rates cannot be calculated for infant age groups, because the denominator population is the number of live births in the specified years.
- In the CMF 1999-2013 and the archive CMF 1999-2009 online databases, rates for infant age groups are not shown for fewer than twenty deaths, nor are race and Hispanic Origin data available, due to privacy constraints; see Assurance of Confidentiality for more information. However, rates for race and Hispanic Origin are available for the age group "under 1 year of age." The "under 1 year of age" age group represents the population estimates for the given time period.
- In the CMF 1999-2003 online database, the "under 1 year of age" age group represents the population estimates for the given time period. (Prior to August 2006, in all previous CMF online databases, the number of live births in the given time period had been substituted for the "under 1 year of age" population estimates.)
- For more information, see Mortality for Infants.
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Why are death rates sometimes flagged as "Unreliable" or "Suppressed"?
Death rates based on counts less than twenty (death count <=20) are flagged as "Unreliable". A death rate based on fewer than 20 deaths has a relative standard error (RSE(R))of 23 percent or more. A RES(R ) of 23 percent is considered statistically unreliable.
Death counts and death rates are "Suppressed" when the data meets the criteria for confidentiality constraints. See Assurance of Confidentiality for more information.
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Why do the rates change for past years?
The rates change because the population estimates used the denominators in the rate calculations change. The population estimates used as denominators change in order to provide the most recently available best estimate. In the years following the decennial census, the Census Bureau annually produces a set of estimates containing estimates of the current year population and revised estimates of the population for previous years. Each set of estimates is referred to as a postcensal series. reference Description of the 1990-based Postcensal Population Estimates.
National death rates for 1979, 1981-89 and 1991-1999 computed using the CMF may not agree with death rates published previously by NCHS. The population estimates for these years on the CMF are intercensal estimates, which have replaced the postcensal population estimates originally used by NCHS to calculate published death rates. NCHS has published some revised death rates using the intercensal population estimates found on the current data release. To reproduce the earlier rates, please use the appropriate archive data.
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How are crude death rates calculated in WONDER?
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What are the Assurance of Confidentiality constraints?
Data reports for years 1989 and later meet the NCHS data use restrictions. Vital statistics data are suppressed due to confidentiality constraints, in order to protect personal privacy. For data from year 1989 and later years, the term "Suppressed" replaces sub-national death counts, births counts, death rates and associated confidence intervals and standard errors, as well as corresponding population figures, when the figure represents zero to nine (0-9) persons.
With the release of CMF 1999-2008 on February 15, 2012, additional privacy constraints apply to infant mortality statistics representing infant age groups and live births as the denominator population. When an infant mortality measure represents fewer than ten (0-9) infant deaths, all corresponding live birth population denominator figures are suppressed. When the infant mortality measure represents ten to nineteen (10-19) infant deaths, the number of deaths and live births are shown, but rates and associated measures are not shown. Race and Hispanic origin data are not available in this online database for infant age groups. However, race and Hispanic origin data are available for persons under one year of age in the other age groups, which use population estimates as population denominator data. Race and Hispanic origin detail for infant mortality statistics are available in the Linked Birth / Infant Death Records data collections.
Prior to May 23, 2011, data cells in tables for year 1989 and later years were suppressed only for single county-level data, when the data represented five or fewer (1-5) deaths for a time period less than three years, and the county's total population in the April 1st, 2000 Census was fewer than one hundred thousand (100,000) persons.
Totals and sub-totals are suppressed when the value falls within scope of the suppression criteria, or when the summary value includes a single suppressed figure, in order to prevent the inadvertent disclosure of suppressed values.
The confidentiality constraints and use of the "Unreliable" flag are established by the original data providers. For more information, please contact the data providers.
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What are my responsibilities in accessing this data?
See Data Use Restrictions to review the policies affecting access to the Compressed Mortality data. Note that use of the data implies consent or agreement to abide by the policies.
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Why separate query pages for CMF 1968-1978, CMF 1979-1998 and CMF 1999 and later?
The International Classification of Diseases (ICD) is used to classify underlying cause of death. The ICD Eighth Revision is used from 1968-1978, the ICD Ninth Revision is used from 1979-1998, and the ICD Tenth Revision is used since 1999. The classification systems differ significantly. As a result of these changes, the two classification schemes are different enough to make direct comparisons of cause-of-death difficult. NCHS has conducted a comparability study to measure the discontinuities between the Ninth and Tenth Revisions of the ICD for selected causes of death.
In order to avoid delivering potentially misleading information, separate Mortality query pages are available on CDC WONDER, one for the Eighth Revision data years (1969-1978), one for the Ninth Revision data years (1979-1998), and one for the Tenth Revision data years (1999 and later). Deaths cannot be tabulated across the 1998-1999 boundary in a single query. We fully recognize that this approach creates limitations for users of these data. We are hopeful that better approaches can be implemented once a method for addressing the data discontinuity has been developed.
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Why are there "Archive" query pages for previous releases?
CDC's current policy on data release requires that previously published data remain available for researchers for comparison purposes. WONDER provides the previously published data designated as "archive" data, in contrast to the currently available published release. Each year the Compressed Mortality File is updated with a new year of data. Other revisions are made to the preceding years of data, such as changes in denominator population estimates and changes in county location codes. For more information, please see
- County Geography Changes
- CMF Archives
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What are the Assurance of Confidentiality constraints?
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What about differences in race reporting on death certificates and self-reporting in the Census?
See Race Reporting for more information about the issues of race categories and ethnicity in the data.
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What racial categories are included in the "Other" classification for CMF Vintage 2005 and earlier?
The racial categories for all years of the CMF are white, black, and other races. Other races includes the American Indian or Alaskan Native race category and the Asian or Pacific Islander race category.
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How are multi-racial persons classified in CMF?
Race data are collected on death certificates in accordance with the 1977 OMB standards on race and ethnicity. The 1977 standards specified four race categories (white, black, American Indian or Alaska Native, and Asian or Pacific Islander) and did not permit more than one racial category to be identified for an individual. Population data through the 1990s were also obtained in accordance with the 1977 standards. Race data on the 2000 census were collected in accordance with the 1997 OMB standards on race and ethnicity. The 1997 standards specify 5 single-race categories (American Indian or Alaskan Native, Asian, black, Hawaiian or Other Pacific Islander, and white) and permit the reporting of more than one race. As a result, there were 31 racial groups on the 2000 census (5 single-race groups and 26 multiple-race groups). NCHS, in collaboration with the Census Bureau, developed methodology for bridging the multiple-race groups to single-race categories, so that the race categories in the population data would match the race categories in the mortality data. Please see U.S. Census Populations With Bridged Race Categories.
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How are Hispanic persons who reported their race as "Other" on the census assigned to a race group?
The Census Bureau has assigned all persons (including Hispanic persons) who specified their race as "other" on the census (1980, 1990, and 2000) to one of the OMB specified racial categories. The algorithm used by the Census Bureau to make these assignments has differed for the 1980, 1990, and 2000 censuses, and is described in the Population Data section.
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What about differences in race reporting on death certificates and self-reporting in the Census?
CMF Archives
Archives of previously published CMF versions are provided so that researchers can validate statistics and references from previous years. Each year the Compressed Mortality File is updated with a new year of data. Other revisions are made to the preceding years of data, such as changes in denominator population estimates and changes in county location codes. Changes in population estimates are reflected in changes in mortality rates. Death counts are not revised in later releases of Compressed Mortality File, other than dividing the deaths in previously combined county or county equivalents.
Archive copies of the CMF 1999-2012, CMF 1999-2011 and CMF 1999-2010 online databases are not needed, because the region, state and county population data for years 1999-2012 in those release are the same as used in the CMF 1999-2013 Archive.
CMF 1999 - 2014 with ICD-10 codes Archive
- This database was the active CMF data release for 1999-2014 (Series 20, No. 2T, 2015) from December 2015 - December 2016, when it was replaced by the CMF 1999-2015 (Series 20 No. 2U, 2016).
- 2014 population estimates: The national population estimates for 2014 are from the Vintage 2014 series of bridged-race postcensal estimates of the July 1 resident population. The region, state and county population estimates for 2014 are from the Vintage 2014 series of bridged-race postcensal estimates of the July 1 resident population.
- 2013 population estimates: The national population estimates for 2013 are from the Vintage 2013 series of bridged-race postcensal estimates of the July 1 resident population. The region, state and county population estimates for 2013 are from the Vintage 2014 series of bridged-race postcensal estimates of the July 1 resident population.
- 2012 population estimates: The national population estimates for 2012 are from the Vintage 2012 series of bridged-race postcensal estimates of the July 1 resident population. The region, state and county population estimates for 2012 are from the Vintage 2014 series of bridged-race postcensal estimates of the July 1 resident population.
- 2011 population estimates: The national population estimates for 2011 are from the Vintage 2011 series of bridged-race postcensal estimates of the July 1 resident population. The region, state and county population estimates for 2011 are from the Vintage 2014 series of bridged-race postcensal estimates of the July 1 resident population.
- 2010 population estimates: The population estimates for 2010 are bridged-race modified April 1 census counts.
- 2001-2009 population estimates: the national, region, division, state and county population estimates for years 2001 and later, on the previous CMF 1999-2010 are from the revised 2000-2009 series of bridged-race intracensal estimates of the July 1 resident population.
- 2000 population estimates: The population estimates for 2000 are bridged-race modified April 1 census counts.
- 1999 population estimates: The population estimates for 1999 are estimates of the July 1 resident population from the bridged-race intercensal estimates.
- Data are available for Broomfield county, Colorado [08014] and Denali, Alaska [02068], only for years 2003 and later. Before 2003, data for these areas are aggregated with neighboring areas. Data for Clifton Forge City, Virginia (51560) are available only for the years 1999-2000. In the year 2001, the area merged with neighboring Alleghany county (51005).
- This database was the active CMF data release for 1999-2013 (Series 20, No. 2S, 2014) from January 2015 - December 2015, when it was replaced by the CMF 1999-2014 (Series 20 No. 2T, 2015).
- 2013 population estimates: The national population estimates for 2013 are from the Vintage 2013 series of bridged-race postcensal estimates of the July 1 resident population. The region, state and county population estimates for 2013 are from the Vintage 2013 series of bridged-race postcensal estimates of the July 1 resident population.
- 2012 population estimates: The national population estimates for 2012 are from the Vintage 2012 series of bridged-race postcensal estimates of the July 1 resident population. The region, state and county population estimates for 2012 are from the Vintage 2013 series of bridged-race postcensal estimates of the July 1 resident population.
- 2011 population estimates: The national population estimates for 2011 are from the Vintage 2011 series of bridged-race postcensal estimates of the July 1 resident population. The region, state and county population estimates for 2011 are from the Vintage 2013 series of bridged-race postcensal estimates of the July 1 resident population.
- 2010 population estimates: The population estimates for 2010 are bridged-race modified April 1 census counts.
- 2001-2009 population estimates: the national, region, division, state and county population estimates for years 2001 and later, on the previous CMF 1999-2010 are from the revised 2000-2009 series of bridged-race intracensal estimates of the July 1 resident population.
- 2000 population estimates: The population estimates for 2000 are bridged-race modified April 1 census counts.
- 1999 population estimates: The population estimates for 1999 are estimates of the July 1 resident population from the bridged-race intercensal estimates.
- Data are available for Broomfield county, Colorado [08014] and Denali, Alaska [02068], only for years 2003 and later. Before 2003, data for these areas are aggregated with neighboring areas. Data for Clifton Forge City, Virginia (51560) are available only for the years 1999-2000. In the year 2001, the area merged with neighboring Alleghany county (51005).
- This database was the active CMF data release for 1999-2009 (Series 20, No. 2O, 2012) from July 2012 to February 2013, when it was replaced by the CMF 1999-2010 (Series 20 No. 2P, 2013).
- 2001-2009 population estimates: the region, division, state and county population estimates for years 2001 and later, on the archive CMF 1999-2009 are estimates of the July 1 resident population from the county-level bridged-race Vintage 2009 postcensal series. National population estimates for 2001-2009 are from the corresponding postcensal vintage (e.g., Vintage 2001 for 2001, Vintage 2002 for 2002).
- 2000 population estimates: The population estimates for 2000 are bridged-race modified April 1 census counts.
- 1999 population estimates: The population estimates for 1999 are estimates of the July 1 resident population from the bridged-race intercensal estimates.
- Data are available for Broomfield county, Colorado [08014] and Denali, Alaska [02068], only for years 2003 and later. Before 2003, data for these areas are aggregated with neighboring areas. Data for Clifton Forge City, Virginia (51560) are available only for the years 1999-2000. In the year 2001, the area merged with neighboring Alleghany county (51005).
- This database was the active CMF data release for 1999-2008 (Series 20, No. 2N, 2011) from February 2012 to July 2012, when it was replaced by the CMF 1999-2009 (Series 20 No. 2O, 2012).
- 2001-2008 population estimates: The region, division, state and county population estimates for years 2001 and later, on the archive CMF 1999-2008 are estimates of the July 1 resident population from the county-level bridged-race Vintage 2009 postcensal series. National population estimates for 2001-2008 are from the corresponding postcensal vintage (e.g., Vintage 2001 for 2001, Vintage 2002 for 2002).
- 2000 population estimates: The population estimates for 2000 are bridged-race modified April 1 census counts.
- 1999 population estimates: The population estimates for 1999 are estimates of the July 1 resident population from the bridged-race intercensal estimates.
- Data are available for Broomfield county, Colorado [08014] and Denali, Alaska [02068], only for years 2003 and later. Before 2003, data for these areas are aggregated with neighboring areas. Data for Clifton Forge City, Virginia (51560) are available only for the years 1999-2000. In the year 2001, the area merged with neighboring Alleghany county (51005).
- This database was the active CMF data release for 1999-2007 (Series 20, No. 2M, 2010) from October 2010 to January 2012, when it was replaced by the CMF 1999-2008 (Series 20 No. 2N, 2011).
- 2001-2007 population estimates: The region, division, state and county population estimates for years 2001 and later, on the archive CMF 1999-2007 are estimates of the July 1 resident population from the county-level bridged-race Vintage 2008 postcensal series. National population estimates for 2001-2007 are from the corresponding postcensal vintage (e.g., Vintage 2001 for 2001, Vintage 2002 for 2002).
- 2000 population estimates: The population estimates for 2000 are bridged-race modified April 1 census counts.
- 1999 population estimates: The population estimates for 1999 are estimates of the July 1 resident population from the bridged-race intercensal estimates.
- Data are available for Broomfield county, Colorado [08014] and Denali, Alaska [02068], only for years 2003 and later. Before 2003, data for these areas are aggregated with neighboring areas. Data for Clifton Forge City, Virginia (51560) are available only for the years 1999-2000. In the year 2001, the area merged with merged with neighboring Alleghany county (51005).
- This database was the active CMF data release for 1999-2006 (Series 20, No. 2L, 2010) from August 2009 to October 2010, when it was replaced by the CMF 1999-2007 (Series 20 No. 2M, 2010).
- 2001-2006 population estimates: The region, division, state and county population estimates for years 2001 and later, on the archive CMF 1999-2006 are estimates of the July 1 resident population from the county-level bridged-race Vintage 2007 postcensal series. National population estimates for 2001-2006 are from the corresponding postcensal vintage (e.g., Vintage 2001 for 2001, Vintage 2002 for 2002).
- 2000 population estimates: The population estimates for 2000 are bridged-race modified April 1 census counts.
- 1999 population estimates: The population estimates for 1999 are estimates of the July 1 resident population from the bridged-race intercensal estimates.
- Data are available for Broomfield county, Colorado [08014] and Denali, Alaska [02068], only for years 2003 and later. Before 2003, data for these areas are aggregated with neighboring areas. Data for Clifton Forge City, Virginia (51560) are available only for the years 1999-2000. In the year 2001, the area merged with merged with neighboring Alleghany county (51005).
- New measures are available beginning with the CMF 1999-2006 database: 95% confidence intervals and standard errors.
- This database was the active CMF data release for 1999-2005 (Series 20, No. 2K, 2008) from March 2008- August 2009, when it was replaced by the CMF 1999-2006 (Series 20 No. 2L, 2009).
- 2001-2005 population estimates: The region, division, state and county population estimates for years 2001 and later on the archive CMF 1999-2005 are estimates of the July 1 resident population from the county-level bridged-race Vintage 2006 postcensal series.
- 2000 population estimates: The population estimates for 2000 are bridged-race modified April 1 census counts.
- 1999 population estimates: The population estimates for 1999 are estimates of the July 1 resident population from the bridged-race intercensal estimates.
- Data are available for Broomfield county, Colorado [08014] and Denali, Alaska [02068], only for years 2003 and later. Before 2003, data for these areas are aggregated with neighboring areas. Data for Clifton Forge City, Virginia (51560) are available only for the years 1999-2000. In the year 2001, the area merged with merged with neighboring Alleghany county (51005).
- The CMF 1999-2005 has not adjusted state and county level populations for migration due to Hurricanes Katrina and Rita in 2005, see About Population Migration due to Hurricanes in 2005 for more information.
- The CMF 1999-2005 does not provide data for Hispanic Origin, nor data for these race groups: American Indian or Alaskan Native; Asian or Pacific Islander.
- This database was the active CMF data release for 1999-2004 (Series 20, No. 2J, 2007) from April 2007 - March 2008, when it was replaced by the CMF 1999-2005 (Series 20 No. 2K, 2008).
- 2001-2004 population estimates: The region, division, state and county population estimates for years 2001 and later, on the archive CMF 1999-2004 are estimates of the July 1 resident population from the county-level bridged-race Vintage 2005 postcensal series.
- 2000 population estimates: The population estimates for 2000 are bridged-race modified April 1 census counts.
- 1999 population estimates: The population estimates for 1999 are estimates of the July 1 resident population from the bridged-race intercensal estimates.
- Data are available for Broomfield county, Colorado [08014] and Denali, Alaska [02068], only for 2003 and later. Before 2003, data for these areas are aggregated with neighboring areas. Data for Clifton Forge City, Virginia (51560) are available only for the years 1999-2000. In the year 2001, the area merged with merged with neighboring Alleghany county (51005).
- The CMF 1999-2004 does not provide data for Hispanic Origin, nor data for these race groups: American Indian or Alaskan Native; Asian or Pacific Islander.
- This database was the active CMF data release for 1999-2003 (Series 20, No. 2I, 2006) from August 2006 to April 2007, when it was replaced by the CMF 1999-2004 (Series 20 No. 2J, 2007).
- 2001-2003 population estimates: The region, division, state and county population estimates on the archive CMF 1999-2003 are estimates of the July 1 resident population from the county-level bridged-race Vintage 2004 postcensal series.
- 2000 population estimates: The population estimates for 2000 are bridged-race modified April 1 census counts.
- 1999 population estimates: The population estimates for 1999 are estimates of the July 1 resident population from the bridged-race intercensal estimates.
- Data are available for Broomfield county, Colorado [08014] and Denali, Alaska [02068], only for 2003. Before 2003, data for these areas are aggregated with neighboring areas. Data for Clifton Forge City, Virginia (51560) are available only for the years 1999-2000. In the year 2001, the area merged with merged with neighboring Alleghany county (51005).
- The CMF 1999-2005 does not provide data for Hispanic Origin, nor data for these race groups: American Indian or Alaskan Native; Asian or Pacific Islander.
CMF 1999 with ICD-10 codes Archive
- This database was the active CMF data release (CMF 1989-2000, Series 20, No. 2C, 2001) from January 2002 to November 2003, when it was replaced by CMF 1999-2001 (Series 20, No. 2G, 2004).
- 1999 population estimates: The population figures for 1999 are 1990-based postcensal population estimates, whereas the current CMF release has intercensal population estimates (based on both the 1990 and 2000 censuses) for 1999.
- This query only provides data for 1999, due to differences in ICD-9 and ICD-10 disease classifications.
- The CMF 1999 does not provide data for Urbanization, Hispanic Origin, nor data for these race groups: American Indian or Alaskan Native; Asian or Pacific Islander.
CMF 1979-1998 with ICD-9 codes Archive
- This database was the active CMF data release (CMF 1989-2000, Series 20, No. 2C, 2001) from January 2002 through November 2003, when it was replaced by CMF 1989-1998 (Series 20, No. 2E, 2003).
- 1991-1998 population estimates: The population figures for 1991-1998 are 1990-based postcensal population estimates, whereas the current CMF release has bridged-race intercensal population estimates (based on both the 1990 and 2000 censuses) for the years 1991-1998.
- This query only provides data for 1979 through 1998, due to differences in disease classifications.
-
County-level data for the state of Alaska are not available in this database.
Dade county, Florida represents Miami-Dade, Florida for all years 1979-1998.
The database was updated in May 2003 to include death count and populations for
La Paz county, Arizona since 1989, and for Cibola county, New Mexico since 1994.
Location exceptions for the Archive CMF 1979-1998 are summarized in the table below:
Location Available Unavailable Notes Alaskan boroughs and census areas --*-- 1979-1998 Only Alaska state level available Cibola, New Mexico (35006) 1989-1998 1979-1988 Aggregated with Valencia (35061) before1989 Dade, Florida (12025) 1979-1998 --*-- Represents Miami-Dade [12086) Kalawao, Hawaii [15005) --*-- 1979-1998 Aggregated with neighboring areas La Paz, Arizona (04012) 1994-1998 1979-1993 Aggregated with Yuma (04027) before1994 Miami-Dade, Florida (12086) --*-- 1979-1998 Represented by Dade (12025) South Boston, Virginia (51780) 1979-1994 1995-1998 Aggregated with Halifax (51083) in 1995 Unknown, Georgia (13999) 1988-1991 1979-1987,
1992-1998AIDS deaths only - The CMF 1979- 1998 does not provide data for Urbanization, Hispanic Origin, nor data for these race groups: American Indian or Alaskan Native; Asian or Pacific Islander.
For more information, please see
Mortality for Infants (under 1 Year of Age)
Causes of death among persons less than one year of age vary greatly during the first year of life, and therefore special "rates" (actually, ratios) have long been used in public health to provide meaningful indicators of infant mortality. Infant mortality rates are typically calculated as the number of deaths per 1,000 live births.
Infant Age Groups" for rates calculated using the number live births as the population denominator. The default multiplier for Infant Age Groups (live births population) is 1,000 births. However, the default multiplier for death rates calculated with the population estimate for persons under 1 year of age is 100,000 persons.
Three commonly used indicators of infant mortality that can be calculated in WONDER are:
-
Infant Mortality Rate
Number of deaths of infants (less than 1 year of age of death)
divided by the number of live births during a given period,
then multiplied by 1,000;- (Deaths of persons under 1 year of age) / Live Births) * 1000
-
Neonatal Mortality Rate
Number of deaths of infants less than 28 days of age
divided by the number of live births during a given period,
then multiplied by 1,000;
- (Deaths of persons under 28 days of age) / Live Births) * 1000
-
Postneonatal Mortality Rate
Number of deaths of infants 28 days to 1 year of age
divided by the number of live births during a given period,
then multiplied by 1,000.
- (Deaths of persons age 28 days to 1 year of age) / Live Births) * 1000
To support these and other infant mortality indicators, the Compressed Mortality File provides first-year mortality data as follows:
Hints:
- Select "Infant Age Groups" for rates calculated using the number live births as the population denominator. The default multiplier for Infant Age Groups (live births population) is 1,000 births.
- The single age group labeled "under 1 of age year" in the standard "Age Groups" list represents the population estimates for this age group. (Prior to August 2006, the number of live births in the given time period had been substituted for the "under 1 year of age" population estimates. Since August 2006, the number of live births for the specified year are available separately.) Death rates based on the population estimates are calculated per 100,000 persons, unless another multiplier is specified.
- Change the default multiplier for the rate per number of persons in the Additional Rate Options section on the Request Form tab.
- Age-adjusted rates are not available for the live births population, because each infant age group uses the same population, the number of live births, to produce the age-specific rates.
- Age-adjusted rates are available for the "under 1 year of age" group, when this group is combined with other age groups. Age-adjusted rates are not calculated for any single age group because the ratio is effectively "1" in this case.
- The number of live births are not summed together for the population total when the data are grouped by infant age groups, because the number of live births is used as the population denominator for each infant age group.
- Note that rates for infant age groups are not shown for fewer than twenty deaths, nor are race and Hispanic Origin data available, due to privacy constraints; see Assurance of Confidentiality for more information.
County Geography Changes: notes about specific county-level changes in boundaries and codes
Changes in county geography occur from time to time. For example, one county may absorb another, two counties may be merged resulting in the deletion of both of them and the creation of a new county, or part of a county may be split off to form a new county or be merged with an existing county. Creation and deletion of counties results in missing data for those counties for some years. County boundary changes can result in substantial increases or decreases in the population of the affected counties and hence impact birth and death counts, population estimates, and birth and death rates for those counties. Creation and deletion of counties often is implemented later in the vital statistics system than in the Census population files. Thus, for the CMF, county codes on the population data have been modified so that they match those in the corresponding vital statistics files. County geography changes that involve creation or deletion of counties in the CMF data are listed below. They are organized by state and county name.
- Alaska boroughs and census areas:
The boroughs and census areas of Alaska undergo frequent changes making it difficult to work with individual Alaskan areas. Prior to 1989, the CMF did not include data for the individual Alaska areas. The FIPS codes used for vital statistics coding for Alaska changed in 1994 and in 2003 and therefore changed on the CMF. Specific area reporting details for Alaska are given below and summarized in the table.-
Alaska (Entire State)
No data are available on the CMF for individual Alaska areas for the years 1965-1988. For these years, only state-level records (all individual areas combined) with a FIPS code of 02900 appear on the CMF. Alaska data are available for all areas combined for years 1965-1988. Data are reported as "Entire State, AK" (FIPS code 02900) for years 1968-1978, and as "Alaska (all counties, 1979-1988)" (FIPS code 02900) for years 1979-1988. Death counts and population estimates are available for individual areas within Alaska for years 1989-present. -
Aleutians East borough, Alaska
Aleutians East borough, Alaska (FIPS code 02013) deaths and populations are on the CMF for 1994-present. For years 1989-1993, deaths and populations are reported for Aleutians Islands Census Area. Aleutians East borough (FIPS code 02013) was created from part of Aleutian Islands Census Area (FIPS code=02010) in 1987 from part of Aleutian Islands census area (FIPS code 02010) and an unpopulated part of Dillingham (FIPS code 02070). -
Aleutian Islands Census Area, Alaska
Aleutian Islands Census Area, Alaska (FIPS code 02010) deaths and populations are on the CMF only for the years 1989-1993. For years 1994 - present, deaths and populations are reported for two areas, Aleutians East Borough (FIPS code=02013) and Aleutians West Census Area (FIPS code=02016). -
Aleutians West Census Area, Alaska
Aleutians West Census Area, Alaska (FIPS code 02016) deaths and populations for Aleutians West are on the CMF for 1994 - present. For years 1989-1993, deaths and populations are reported for Aleutians Islands Census Area. Aleutians West Census Area, Alaska (FIPS code 02016) was created in 1990 from that part of Aleutian Islands (FIPS code 02010) that did not become part of Aleutians East (FIPS code 02013). -
Denali borough, Alaska
Denali Borough, Alaska (FIPS code 02068) deaths and populations are on the CMF for years 2003 - present. For years 1989-2003, deaths and populations are reported for Yukon-Koyukuk (FIPS code 02290). Denali Borough, Alaska (FIPS code 02068) was created from the Yukon-Koyukuk Census Area (FIPS code 02290) and a small part of Southeast Fairbanks (FIPS code 02240) on December 7, 1990. -
Dillingham census area, Alaska
Dillingham, Alaska (FIPS code 02070) deaths and populations are available on the CMF for years 1989 - present. There may be a discontinuity between 1993 and 1994 in the data reported for Dillingham because in 1989 part of Dillingham was removed to form Lake and Peninsula Borough (FIPS code 02164). This change was implemented in the vital records files and the CMF beginning 1994. -
Hoonah-Angoon Census Area, Alaska
Hoonah-Angoon Census Area, Alaska (FIPS code 02105) data are only available for 2014 and later; for computational purposes, counts and population estimates for 1999-2013 are set to zero. Thus, counts and rates shown in multi-year requests for this entity do not include any data for years prior to 2014, only data for 2014 and later. In 2007, Skagway-Hoonah-Angoon Census Area (FIPS code 02232) was divided into Hoonah-Angoon Census Area (FIPS code 02105) and Skagway Municipality (FIPS code 02230). This change has been implemented in the Census Bureau's population files, yet not implemented in the mortality files until year 2014. Therefore, the population estimates for Hoonah-Angoon and Skagway Municipality are recoded to Skagway-Hoonah-Angoon Census Area for the CMF population file for the years before 2014. -
Ketchikan Gateway Borough, Alaska
Ketchikan Gateway Borough (FIPS code 02130) deaths and populations are available on the CMF for 1989-present. In 2009, this Borough had a boundary change when it annexed Outer Ketchikan, formerly part of Prince of Wales-Outer Ketchikan Census Area (FIPS code 02201). The annexed territory was mostly unpopulated. The annexation was implemented in the Census 2001-2010 intercensal population estimates, so for years 2001 and beyond the population of Outer Ketchikan is reported for Ketchikan Gateway, not for Prince of Wales-Outer Ketchikan. The annexation was implemented in the vital records data in 2014, so for years 2001-2013, any deaths that occurred in Outer Ketchikan were reported for Prince of Wales-Outer Ketchikan Census Area, not for Ketchikan Gateway. -
Kobuck, Alaska
Kobuck, Alaska (FIPS code 02140) became Northwest Arctic borough (FIPS code 02188). There are no records for Kobuck on the CMF. - Kusilvak Census Area, Alaska Kusilvak Census Area, Alaska (FIPS code 02158) does not appear on the CMF. Deaths and population data are available under its former name and FIPS code: Wade-Hampton Census Area, Alaska (FIPS code 02270).
-
Lake and Peninsula Borough, Alaska
Lake and Peninsula Borough, Alaska (FIPS code 02164) deaths and populations are available on the CMF for years 1994 - present. For years 1989-1993, deaths and populations for this area are reported for Dillingham. Lake and Peninsula Borough, Alaska (FIPS code 02164) was created from part of Dillingham, Census Area, Alaska (FIPS code 02070) in 1989. -
Northwest Arctic Borough, Alaska
Northwest Arctic Borough, Alaska (FIPS code 02185) deaths and populations are available on the CMF for years 1989 - present. This area was formed in 1982 when an unpopulated part of North Slope Borough (FIPS code=02185) was combined with Kobuck (FIPS code=02140). -
Petersburg Borough/Census Area, Alaska
Petersburg Borough/Census Area, Alaska (FIPS code 02195) data are only available for 2014 and later; for computational purposes, counts and population estimates for 1999-2013 are set to zero. Thus, counts and rates shown in multi-year requests for this entity do not include any data for years prior to 2014, only data for 2014 and later. Petersburg Borough (FIPS code 02195) was created in 2013 from part of former Petersburg Census Area (also 02195) and a mostly unpopulated part of Hoonah-Angoon Census Area (FIPS code 02105). A part of the former Petersburg Census Area (population around 600 persons) went to Prince of Wales-Hyder Census Area (FIPS code 02198). Petersburg Census Area (FIPS code 02195) was created in 2009 from the Petersburg part of Wrangell-Petersburg Census Area (FIPS code 02280). The changes have been implemented in the Census Bureau's population files, but not in the mortality files until year 2014. Therefore, the 2001 through 2013 population estimates for Petersburg Census Area (FIPS code 02195) have been aggregated with those for the new Wrangell Borough (FIPS code 02275) and recoded to the former Wrangell-Petersburg (FIPS code 02280) for the years before 2014. -
Prince of Wales-Hyder Census Area, Alaska
Prince of Wales-Hyder Census Area, Alaska (FIPS code 02198) data are only available for 2014 and later; for computational purposes, counts and population estimates for 1999-2013 are set to zero. Thus, counts and rates shown in multi-year requests for this entity do not include any data for years prior to 2014, only data for 2014 and later. Prince of Wales-Hyder Census Area was formed in 2008 from part of Prince of Wales-Outer Ketchikan Census Area (FIPS code 02201). This change was implemented in the Census Bureau's population files but was not implemented in the vital records files until year 2014. Therefore, the population estimates for years prior to year 2014 for Prince of Wales-Hyder have been recoded to Prince of Wales-Outer Ketchikan Census Area. Population estimates for years 2001-2009 for Outer Ketchikan, which were aggregated into the Ketchikan Gateway estimates population files, cannot be recovered, but are estimated to be small. -
Prince of Wales-Outer Ketchikan Census Area, Alaska
Prince of Wales-Outer Ketchikan Census Area, Alaska (FIPS code 02201) data are available only for 1989-2013. For 2014 and beyond, death counts and population estimates for Prince of Wales-Outer Ketchikan Census Area Census Area are reported as Prince of Wales-Hyder Census Area (FIPS code 02198). Death counts and population estimates for this entity from multi-year requests, only reflect data for years 1989-2013; for year 2014 and beyond they have been set to zero. Prince of Wales-Outer Ketchikan Census Area, Alaska (FIPS code 02201) deaths and populations are available on the CMF for years 1989-2013. In 2009, Prince of Wales-Outer Ketchikan was disaggregated. The Outer Ketchikan portion was annexed by Ketchikan Gateway Borough, the Meyers Church part of Prince of Wales was annexed by Wrangell City and Borough, and the remainder became Prince of Wales-Hyder Census Area. This change was implemented in the Census Bureau's population files but was not yet been implemented in the vital records files until year 2014. Therefore, the population estimates for Prince of Wales-Outer Ketchikan were obtained by recoding the population estimates for Prince of Wales-Hyder to Prince of Wales-Outer Ketchikan Census Area for years before 2014. There may be a discontinuity between the 2000 and 2001 estimates for this area because the populations of Outer Ketchikan and Meyers Church cannot be recovered. -
Skagway Municipality, Alaska
Skagway Municipality, Alaska (FIPS code 02230) data are only available for 2014 and later; for computational purposes, counts and population estimates for 1999-2013 are set to zero. Thus, counts and rates shown in multi-year requests for this entity do not include any data for years prior to 2014, only data for 2014 and later. Skagway-Hoonah-Angoon Census Area (FIPS code 02232) was divided into Skagway Municipality (FIPS code 02230) and Hoonah-Angoon Census Area (FIPS code 02105) in 2007. This change was implemented in the Census Bureau's population files but was not implemented in the vital records files until year 2014. Therefore, the population estimates for Skagway Municipality have been aggregated with those for Hoonah-Angoon Census Area and recoded to Skagway-Hoonah-Angoon Census Area for the CMF population file for years before 2014. -
Skagway-Hoonah-Angoon Census Area, Alaska
Skagway-Hoonah-Angoon Census Area, Alaska (FIPS code 02232) data are available only for 1994-2013. For 2014 and beyond, death counts and population estimates for Skagway-Hoonah-Angoon Census Area are reported as Hoonah-Angoon Census Area(FIPS code 02105) and Skagway Municipality, (FIPS code 02230). Death counts and population estimates for this entity from multi-year requests, only reflect data from 1994-2013; for 2014 and beyond they have been set to zero. Skagway-Hoonah-Angoon Census Area, Alaska (FIPS code 02232) deaths and populations are available on the CMF for years 1994-2013. For years 1989-1993, data for Skagway-Hoonah-Angoon are reported for Skagway-Yakutat-Angoon (FIPS code 02231). Skagway-Hoonah-Angoon was formed in September 22, 1992 from that part of Skagway-Yakutat-Angoon not incorporated into Yakutat Borough (FIPS code=02282). In 2007, Skagway-Hoonah-Angoon was split into Hoonah-Angoon Census Area (FIPS code 02105) and Skagway Municipality (FIPS code 02230). This change was implemented in the Census Bureau's population files but was not implemented in the vital records files until year 2014. Therefore, the population estimates for Hoonah-Angoon Census Area and Skagway Municipality have been aggregated and recoded to Skagway-Hoonah-Angoon Census Area for years before 2014. -
Skagway-Yakutat-Angoon Census Area, Alaska
Skagway-Yakutat-Angoon, Alaska (FIPS code 02231) deaths and populations are on the CMF for years 1989-1993. For years 1994 - present, deaths and populations for this area are reported for Yakutat (FIPS code 02282) and Skagway-Hoonah-Angoon (FIPS code 02232. Effective September 22, 1992, Skagway-Yakutat-Angoon Census Area was deleted after Yakutat (FIPS code 02282) and Skagway-Hoonah-Angoon (FIPS code 02232) were formed. This change was implemented in the vital records files, and hence in the CMF, beginning with the 1994 data year. -
Wrangell City and Borough, Alaska
Wrangell City and Borough, Alaska (FIPS code 02275) data are only available for 2014 and later; for computational purposes, counts and population estimates for 1999-2013 are set to zero. Thus, counts and rates shown in multi-year requests for this entity do not include any data for years prior to 2014, only data for 2014 and later. Wrangell City and Borough (FIPS code 02275) was created in 2009 from part of Wrangell-Petersburg Census Area (FIPS code 02280) and the Meyers Church part of Prince of Wales-Outer Ketchikan Census Area (FIPS code 02201). This change was implemented in the Census Bureau's population estimates but was not implemented in the vital records files until year 2014. Therefore, the population estimates for Wrangell City and Borough have been aggregated with those for Petersburg (FIPS code 02195) and recoded to Wrangell-Petersburg Census Area for the CMF population file for the years before 2014. The recombined area includes the additional population for Myers Church. -
Wrangell-Petersburg Census Area, Alaska
Wrangell-Petersburg Census Area, Alaska (FIPS code 02280) data are available only for 1989-2013. For 2014 and beyond, death counts and population estimates for Wrangell-Petersburg Census Area are reported as Petersburg Borough/Census Area (FIPS code 02195) and Wrangell City and Borough, (FIPS code 02275). Death counts and population estimates for this entity from multi-year requests, only reflect data from 1989-2013; for 2014 and beyond they have been set to zero. Wrangell-Petersburg Census Area, Alaska (FIPS code 02280) deaths and populations are available on the CMF for years 1989-2013. In 2008, Wrangell-Petersburg (FIPS code 02280) split to form part of Wrangell City and Borough (FIPS code 02275) and all of Petersburg Census Area (FIPS code 02195). This change was implemented in the Census Bureau's population estimates but was not implemented in the vital records files until year 2014. Therefore, the population estimates for this area on the CMF for years before 2014 were obtained by combining the estimates for Wrangell City and Borough with those for Petersburg Census Area. Because the new Wrangell City and Borough includes part of the former Prince of Wales-Outer Ketchikan (Meyers Church), the population of the recombined area is augmented somewhat. -
Yakutat Borough, Alaska
Yakutat Borough, Alaska (FIPS code 02282) deaths and populations are available on the CMF for years 1994 - present. For years 1991-1993, deaths and populations for Yakutat are aggregated with those for Skagway-Hoonah-Angoon (FIPS code 02231). Yakutat Borough was created September 22, 1992 from part of Skagway-Yakutat-Angoon (FIPS code 02231). This change was implemented in the vital records files for the 1994 data year. -
Yukon-Koyukuk, Alaska
Yukon-Koyukuk Census Area, Alaska (FIPS code 02290) deaths and populations are available on the CMF for years 1989 - present. However, there are discontinuities between 2002 and 2003 in the mortality and population data for Yukon-Koyukuk, because part of Yukon-Koyukuk Census Area was removed to form Denali Borough, Alaska (FIPS code 02068). This change was implemented in the vital records files and the CMF in the 2003 data year -
Table of Alaska boroughs and census areas in the CMF from 1989 - 1998
FIPS Code ______________________ Borough / Census Area Name 1989-93 1994-98 ______________________________________________________________ Aleutian Islands Census Area 02010 --*-- Aleutians East Borough --*-- 02113 Aleutians West Census Area --*-- 02016 Anchorage Borough 02020 02020 Bethel Census Area 02050 02050 Bristol Bay Borough 02060 02060 Denali Borough (02068) --*-- --*-- Dillingham Census Area 02070 02070 Fairbanks North Star Borough 02090 02090 Haines Borough 02100 02100 Juneau Borough 02110 02110 Kenai Peninsula Borough 02122 02122 Ketchikan Gateway Borough 02130 02130 Kobuck(-2140) --*-- --*-- Kodiak Island Borough 02150 02150 Lake and Peninsula Borough --*-- 02164 Matanuska-Susitna Borough 02170 02170 Nome Census Area 02180 02180 North Slope Borough 02185 02185 Northwest Arctic Borough 02188 02188 Prince of Wales-Outer Ketchikan C.A 02201 02201 Sitka Borough 02220 02220 Skagway-Yakutat-Angoon Census Area 02231 --*-- Skagway-Hoonah-Angoon Census Area --*-- 02232 Southeast Fairbanks Census Area 02240 02240 Valdez-Cordova Census Area 02261 02261 Wade Hampton Census Area 02270 02270 Wrangell-Petersburg Census Area 02280 02280 Yakutat Borough --*-- 02282 Yukon-Koyukuk Census Area 02290 02290 --*-- Code does not appear on file for these years.
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Alaska (Entire State)
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Arizona:
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La Paz, Arizona
La Paz county, Arizona (FIPS code 04012) deaths and populations are available for years 1994 - present. For years 1965 - 1993, deaths and populations for this area are aggregated with those for Yuma county, Arizona (FIPS code 04027). In January, 1983, La Paz county, Arizona (FIPS code 04012) was formed from the northern portion of Yuma county (FIPS code 04027). This change was implemented in the vital records files and in the CMF beginning in 1994. -
Yuma, Arizona
Yuma county, Arizona (FIPS code 02027) deaths and populations are available on the CMF for years 1968 - present. However, there are discontinuities between 1993 and 1994 in the data reported for Yuma County. These discontinuities occur because part of Yuma County was removed to form La Paz county (FIPS code 04012) in January 1983. This change was implemented in the vital records files and in the CMF beginning in 1994.
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La Paz, Arizona
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Colorado:
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Adams, Colorado
Adams county, Colorado (FIPS code 08001) shows a discontinuity in the mortality and population data between 2002 and 2003. This discontinuity occurs because territory in each of these four counties has been combined to form a new county, Broomfield, Colorado (FIPS code 08014). Beginning in 2003, deaths and population counts for this territory are reported for Broomfield county and are no longer included with data for Adams county. -
Boulder, Colorado
Boulder county, Colorado (FIPS code 08003) shows a discontinuity in the mortality and population data between 2002 and 2003. This discontinuity occurs because territory in each of these four counties has been combined to form a new county, Broomfield, Colorado (FIPS code 08014). Beginning in 2003, deaths and population counts for this territory are reported for Broomfield county and are no longer included with data for Boulder county. -
Broomfield county
Broomfield county, Colorado (FIPS code 08014) was created effective November 15, 2001 from parts of four counties: Adams, Boulder, Jefferson, and Weld. Deaths and population estimates for Broomfield county appear on the CMF beginning in the year 2003. Deaths and population estimates before 2003 are coded to the original locations. -
Jefferson, Colorado
Jefferson county, Colorado (FIPS code 08059) shows a discontinuity in the mortality and population data between 2002 and 2003. This discontinuity occurs because territory in each of these four counties has been combined to form a new county, Broomfield, Colorado (FIPS code 08014). Beginning in 2003, deaths and population counts for this territory are reported for Broomfield county and are no longer included with data for Jefferson county. -
Weld, Colorado
Weld county, Colorado (FIPS code 080123) shows a discontinuity in the mortality and population data between 2002 and 2003. This discontinuity occurs because territory in each of these four counties has been combined to form a new county, Broomfield, Colorado (FIPS code 08014). Beginning in 2003, deaths and population counts for this territory are reported for Broomfield county and are no longer included with data for Weld county.
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Adams, Colorado
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Florida: Dade county and Miami city
Dade county, Florida (FIPS code 12025) was renamed Miami-Dade County and its FIPS code changed to 12086, effective November 13, 1997. The CMF 1999-2009 and CMF 1979-1998 have the area coded to Miami-Dade (12086) for all years. The archive CMF 1999-2003 and later archives CMF releases have the area coded to Miami-Dade (12086) for all years. The CMF 1968-1978, the archive CMF 1999, and the archive CMF 1979-1998 have the area coded to Dade County, FL (12025) for all years. -
Georgia:
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Columbus city and Muscogee county, Georgia
The independent city Columbus, Georgia does not appear on the CMF. Death counts and population estimates for Columbus city (FIPS code 13510) have been aggregated with those for Muscogee county (FIPS code 13215). -
Georgia, unknown county
For years 1988-1991, an additional county code (FIPS code 13999) was created for an "unknown" county in Georgia. Deaths occurring in Georgia in years 1988-1991 with HIV infection mentioned as the underlying cause of death or one of the multiple causes of death are assigned to this fictitious county when fewer than 3 occurred in the actual county of residence of the decedent. No population estimates are available for FIPS code 13999. The deaths assigned to this FIPS code are included in Georgia state totals.
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Columbus city and Muscogee county, Georgia
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Hawaii:
Kalawao, Hawaii
Kalawao, Hawaii [FIPS code 15005) has data on the CMF beginning in the year 1989. There are no data for the years for years 1979-1988 in the CMF 1979-1998 online database, and no data for the full span of years in the archive 1979-1998 online database. There are no data for the full span of years in the 1969-1978 online database. Death counts and population estimates for Kalawao, Hawaii (FIPS code = 15005) are aggregated with those for Maui county, Hawaii (FIPS code=15009), when data for Kalawao, Hawaii are not available. -
Louisiana and Orleans and East Baton Rouge parishes after Hurricane Katrina in 2005:
The July 1st 2005 population estimates for Louisiana do not reflect population changes that occurred after Hurricane Katrina on August 29, 2005. The population of Orleans parish in Louisiana was reduced following Hurricane Katrina; East Baton Rouge parish in Louisiana had an increased population. As a result, 2005 death rates for Orleans parish calculated using the population estimates will be too low; the death rates calculated for East Baton Rouge will be somewhat too high. Death rates for Orleans parish are especially affected. -
Maryland: Baltimore city and Baltimore county
The independent city of Baltimore, Maryland has been treated as a county. Death counts and population estimates are reported separately for Baltimore city (FIPS code 24510) and Baltimore county (FIPS code 24005). -
Missouri:
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St. Genevieve county, Missouri
In order to achieve alphabetical consistency, the FIPS code for St. Genevieve, Missouri was changed in 1979 from 29193 to 29186. The new code (29186) has been used throughout the CMF. -
St. Louis city and St. Louis county, Missouri
The independent city of St. Louis, Missouri has been treated as a county. Death counts and population estimates are reported separately for St. Louis city (FIPS code 29510) and St. Louis county (FIPS code 29189).
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St. Genevieve county, Missouri
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Montana: Yellowstone National Park
Until November 7, 1997, the Montana portion of Yellowstone Park was not in any county and therefore was treated as a county equivalent (FIPS code 30113). On that date, the Montana portion of Yellowstone Park became part of Gallatin, Montana (FIPS code 30031) and Park, Montana (FIPS code 30067). The number of deaths in Yellowstone Park was so small that this should not create a discontinuity. Data for Yellowstone Park (30113) does not appear after data year 1988 on the CMF 1979-1998. However, Yellowstone Park (30113) data are available for the years 1979-1998 on the Archive CMF 1978-1998. and Yellowstone Park (30113) data are available for the years 1969-1978 in the 1968-1978 CMF. Deaths and population coded as Yellowstone National Park, Montana (FIPS code 30113) in the year 1968 are recoded to Park County, Wyoming (FIPS code 56029). -
Nevada: Carson City
The independent city of Carson City, Nevada (FIPS code 32510) has been treated as a county. Death counts and population estimates are reported for Carson City. -
New Mexico: Cibola county and Valencia county
Valencia county, New Mexico (FIPS code 35061) data are available on the CMF for years 1968 - present. Data for Cibola county, New Mexico (FIPS code 35006) are available in the CMF for years 1989 - present. However, there are discontinuities between 1988 and 1989 in the data reported for Valencia County. These discontinuities occur because part of Valencia County was removed to form Yuma County (in 1981) and this change was implemented in the vital records files and in the CMF beginning in 1989. Hence Valencia shows an abrupt drop in deaths and populations in 1989. -
New York: New York City boroughs
The five boroughs of New York City have been treated as counties and maintained as separate entities on this file.
Borough County FIPS Code Bronx Bronx 36005 Brooklyn Kings 36047 Manhattan New York 36061 Queens Queens 36081 Staten Island Richmond 36085
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South Dakota: Jackson county and Washabaugh county
In 1979, Washabaugh county, South Dakota (FIPS code 46131) merged with Jackson county, South Dakota (FIPS code 46071). For all years, death counts and population estimates for Washabaugh county have been aggregated with those for Jackson county. -
South Dakota: Oglala Lakota county and Shannon county
Oglala Lakota County, South Dakota (FIPS code 46102) does not appear on the CMF; deaths and population data are available under its former name and FIPS code: Shannon county, South Dakota (FIPS code 46113). -
Virginia independent cities:
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Alleghany, Virginia
Alleghany county, Virginia (FIPS code 51005) deaths and populations are available on the CMF for years 1968 - present. Clifton Forge city, Virginia (FIPS code 51560) data are available for years 1968-2000. Beginning with the 2001 data year, Clifton Forge deaths and population estimates are aggregated with those of Alleghany County because this independent city merged with the county in 2001. As a result of this change, there is a discontinuity between 2000 and 2001 in the data reported for Alleghany County. -
Bedford City, Virginia
Bedford city, Virginia (FIPS code 51515) data are available only for years 1979 through 2010 in the Compressed Mortality online databases. For years 1968-1978 and for year 2011 and beyond, death counts and population estimates for Bedford city have been combined with Bedford County (FIPS code 51019). Death counts and population estimates for this entity from multi-year requests, only reflect data from 1979 through 2010; for years 1968-1978 and for year 2011 and beyond they have been set to zero. Bedford City, Virginia (FIPS code 51515), formerly an independent city, merged with Bedford County, Virginia (FIPS code 51019) on July 1, 2013. Beginning in year 2011, this change is effective for deaths and population estimates in the Compressed Mortality data. Deaths and population estimates for Bedford City, Virginia (FIPS code 51515) are only available for the years 1979 -2011. Deaths are population estimates are missing (zero) for Bedford City, Virginia for teh years 1968 -1978 and the year 2011 and later. Bedford County, Virginia (FIPS code 51019) has a discontinuity in the population estimates between years 1978 and 1979 and years 2010 and 2011 due to the change in inclusion of the city population. Prior to December 30, 2015, deaths and population estimates for Bedford City, Virginia (FIPS code 51515) in years 2011 through 2013 were reported in Compressed Mortality. Bedford City reported 94 total deaths in 2011, 92 total deaths in 2012, and 54 total deaths in 2013. Note that deaths are reported separately for Bedford City, Virginia (FIPS code 51515) in years 2011 through 2013 in the Compressed Mortality File research data sets for those years, and in the Detailed Mortality and Multiple Cause of Death online databases. -
Clifton Forge city, Virginia
Clifton Forge city, Virginia (FIPS code 51560) deaths and populations are available on the CMF for years 1968-2000. On July 1, 2001, Clifton Forge city, formerly an independent city, merged with Alleghany county (FIPS code 51005). -
Nansemond city, Virginia
Nansemond city, Virginia (FIPS code 51123) has been part of the independent city of Suffolk, VA (FIPS code 51800) since 1979. For all years, death counts and population estimates for Nansemond have been aggregated with those for Suffolk city. -
Halifax, Virginia
For CMF 1979-1998, there is a discontinuity in the mortality and population data for Halifax, Virginia (FIPS code 51083) between 1988 and 1989. The discontinuity occurs because South Boston city, Virginia (FIPS code 51780) merged with Halifax county. For CMF 1979-1998, beginning in data year 1989, deaths and population counts for South Boston city are reported with those of Halifax county. However, for CMF 1979-1998 Archive data, death counts and population estimates for South Boston city are aggregated with those of Halifax county since 1995. -
South Boston city, Virginia
South Boston city, Virginia (FIPS code 51780) deaths and populations are available on the CMF for years 1968-1988, and available through year 1994 in the archive CMF 1979-1998. Death counts and population estimates for South Boston city are aggregated with those of Halifax county since 1989 in the current release; however South Boston city data are aggregated with Halifax county since 1995 for the archive CMF 1979-1998. On June 30, 1995, South Boston city, Virginia (FIPS code 51780), formerly an independent city, merged with Halifax county (FIPS code 51083). -
Table of Virginia independent cities and counties
The Virginia independent cities are treated as counties and appear on the CMF with the following FIPS codes:Independent City County
Name FIPS code Name FIPS code City Data available *
Alexandria 51510 Arlington 51013 1968-current Bedford 51515 Bedford 51019 1979-2010 Bristol 51520 Washington 51191 1979-current Buena Vista 51530 Rockbridge 51163 1979-current Charlottesville 51540 Albemarle 51003 1979-current Chesapeake 51550 1968-current Clifton Forge 51560 Alleghany 51005 1979-2000 Colonial Heights51570 Chesterfield 51041 1979-current Covington 51580 Alleghany 51005 1979-current Danville 51590 Pittsylvania 51143 1979-current Emporia 51595 Greensville 51081 1979-current Fairfax 51600 Fairfax 51059 1979-current Falls Church 51610 Fairfax 51059 1979-current Franklin 51620 Southampton 51175 1979-current Fredericksburg 51630 Spotsylvania 51177 1979-current Galax 51640 Grayson 51077 1979-current Hampton 51650 1968-current Harrisonburg 51660 Rockingham 51165 1979-current Hopewell 51670 Prince George 51149 1979-current Lexington 51678 Rockbridge 51163 1979-current Lynchburg 51680 Campbell 51031 1979-current Manassas 51683 Prince William 51153 1979-current Manassas Park 51685 Prince William 51153 1979-current Martinsville 51690 Henry 51089 1979-current Newport News 51700 1968-current Norfolk 51710 1968-current Norton 51720 Wise 51195 1979-current Petersburg 51730 Dinwiddie 51053 1979-current Poquoson 51735 York 51199 1979-current Portsmouth 51740 Norfolk city 51710 1979-current Radford 51750 Montgomery 51121 1979-current Richmond 51760 Henrico 51087 1979-current Roanoke 51770 Roanoke 51161 1979-current Salem 51775 Roanoke 51161 1979-current South Boston * 51780 Halifax 51083 1979-1988, 1979-1994 in Archive Staunton 51790 Augusta 51015 1979-current Suffolk 51800 1968-current Virginia Beach 51810 1968-current Waynesboro 51820 Augusta 51015 1979-current Williamsburg 51830 James City 51095 1979-current Winchester 51840 Frederick 51069 1979-current
* Note that data discontinuities occur when data are not available for all years.
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Alleghany, Virginia