The population count of District of Columbia, DC was 633,736 in 2014.

Population

Population Change

Above charts are based on data from the U.S. Census American Community Survey | ODN Dataset | API - Notes:

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Demographics and Population Datasets Involving District of Columbia, DC

  • API

    NCHS - Leading Causes of Death: United States

    data.cdc.gov | Last Updated 2017-08-23T19:46:01.000Z

    This dataset presents the age-adjusted death rates for the 10 leading causes of death in the United States beginning in 1999. Data are based on information from all resident death certificates filed in the 50 states and the District of Columbia using demographic and medical characteristics. Age-adjusted death rates (per 100,000 population) are based on the 2000 U.S. standard population. Populations used for computing death rates after 2010 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for non-census years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Causes of death classified by the International Classification of Diseases, Tenth Revision (ICD–10) are ranked according to the number of deaths assigned to rankable causes. Cause-of-death statistics are based on the underlying cause of death.

  • API

    Median Household Income All States 2000-2012

    opendata.utah.gov | Last Updated 2014-10-31T18:29:13.000Z

    Median Household Income All States 2000-2012

  • API

    Number Of Minor Effect Illnesses From Exposure To All Pesticides By States

    opendata.utah.gov | Last Updated 2015-03-17T17:38:04.000Z

    Number Of Minor Effect Illnesses From Exposure To All Pesticides By States

  • API

    FIPS Codes for PA Counties

    data.pa.gov | Last Updated 2017-07-19T15:40:20.000Z

    This is a listing of Federal Information Processing Standard (FIPS) codes for each of the 67 counties in Pennsylvania. Information gathered from census data - https://www.census.gov/geo/reference/codes/cou.html For more technical details : Federal Information Processing Standards Publications (FIPS PUBS) are issued by the National Institute of Standards and Technology (NIST) after approval by the Secretary of Commerce pursuant to Section 111 (d) of the Federal Property and Administrative Services Act of 1949 as amended by the Computer Security Act of 1987, Public Law 100-235. Federal Information Processing Standard (FIPS) 6-4, Counties and Equivalent Entities of the U.S., Its Possessions, and Associated Areas -- 90 Aug 31 , provides the names and codes that represent the counties and other entities treated as equivalent legal and/or statistical subdivisions of the 50 States, the District of Columbia, and the possessions and freely associated areas of the United States. Counties are considered to be the "first-order subdivisions" of each State and statistically equivalent entity, regardless of their local designations (county, parish, borough, etc.).

  • API

    State Recidivism Rates All States

    opendata.utah.gov | Last Updated 2015-05-07T21:18:04.000Z

    This dataset provides references for 99 recidivism studies conducted between 1995-2009 in all 50 states and the District of Columbia. The studies have been produced by a variety of agencies, including departments of corrections, sentencing commissions, statistical analysis centers, and universities. The analyses addresses a broad variety of issues, including juvenile/adult status, gender, race, type of offense, type of program intervention, and many others. Because of this diversity, measurements of recidivism rates are not necessarily comparable across jurisdictions, but overall the studies provide insight into the variety of factors that affect recidivism for people sentenced to incarceration or community supervision.

  • API

    Quitline – Quitline Names and Phone Numbers

    chronicdata.cdc.gov | Last Updated 2017-10-25T20:54:04.000Z

    2010-2017. National Quitline Data Warehouse (NQDW). State Tobacco Activities Tracking and Evaluation (STATE) System. NQDW Data. National Quitline Data Warehouse (NQDW) assists in evaluating quitline activities and serves as a national resource for data on the use, success, and services of state quitlines. States report data on quitline callers, quitting success, as well as the services provided by their quitlines. The NQDW consolidates this information for evaluating programs and improving quitline services. The jurisdictions participating in this data collection effort include the 50 states, the District of Columbia, Guam and Puerto Rico.

  • API

    Quitline – Service Utilization - 2010 To Present

    chronicdata.cdc.gov | Last Updated 2017-10-25T20:53:29.000Z

    2010-2017. National Quitline Data Warehouse (NQDW). State Tobacco Activities Tracking and Evaluation (STATE) System. NQDW Data. National Quitline Data Warehouse (NQDW) assists in evaluating quitline activities and serves as a national resource for data on the use, success, and services of state quitlines. States report data on quitline callers, quitting success, as well as the services provided by their quitlines. The NQDW consolidates this information for evaluating programs and improving quitline services. The jurisdictions participating in this data collection effort include the 50 states, the District of Columbia, Guam and Puerto Rico.

  • API

    Incidence Of Brain And Central Nervous System Cancer Age 15 Under Per 1,000,000 All States

    opendata.utah.gov | Last Updated 2015-03-17T17:59:52.000Z

    Incidence Of Brain And Central Nervous System Cancer Age 15 Under Per 1,000,000 All States

  • API

    Broadband Adoption and Computer Use by year, state, demographic characteristics

    data.wa.gov | Last Updated 2017-10-19T21:04:15.000Z

    This dataset is imported from the US Department of Commerce, National Telecommunications and Information Administration (NTIA) and its "Data Explorer" site. The underlying data comes from the US Census 1. dataset: Specifies the month and year of the survey as a string, in "Mon YYYY" format. The CPS is a monthly survey, and NTIA periodically sponsors Supplements to that survey. 2. variable: Contains the standardized name of the variable being measured. NTIA identified the availability of similar data across Supplements, and assigned variable names to ease time-series comparisons. 3. description: Provides a concise description of the variable. 4. universe: Specifies the variable representing the universe of persons or households included in the variable's statistics. The specified variable is always included in the file. The only variables lacking universes are isPerson and isHouseholder, as they are themselves the broadest universes measured in the CPS. 5. A large number of *Prop, *PropSE, *Count, and *CountSE columns comprise the remainder of the columns. For each demographic being measured (see below), four statistics are produced, including the estimated proportion of the group for which the variable is true (*Prop), the standard error of that proportion (*PropSE), the estimated number of persons or households in that group for which the variable is true (*Count), and the standard error of that count (*CountSE). DEMOGRAPHIC CATEGORIES 1. us: The usProp, usPropSE, usCount, and usCountSE columns contain statistics about all persons and households in the universe (which represents the population of the fifty states and the District and Columbia). For example, to see how the prevelance of Internet use by Americans has changed over time, look at the usProp column for each survey's internetUser variable. 2. age: The age category is divided into five ranges: ages 3-14, 15-24, 25-44, 45-64, and 65+. The CPS only includes data on Americans ages 3 and older. Also note that household reference persons must be at least 15 years old, so the age314* columns are blank for household-based variables. Those columns are also blank for person-based variables where the universe is "isAdult" (or a sub-universe of "isAdult"), as the CPS defines adults as persons ages 15 or older. Finally, note that some variables where children are technically in the univese will show zero values for the age314* columns. This occurs in cases where a variable simply cannot be true of a child (e.g. the workInternetUser variable, as the CPS presumes children under 15 are not eligible to work), but the topic of interest is relevant to children (e.g. locations of Internet use). 3. work: Employment status is divided into "Employed," "Unemployed," and "NILF" (Not in the Labor Force). These three categories reflect the official BLS definitions used in official labor force statistics. Note that employment status is only recorded in the CPS for individuals ages 15 and older. As a result, children are excluded from the universe when calculating statistics by work status, even if they are otherwise considered part of the universe for the variable of interest. 4. income: The income category represents annual family income, rather than just an individual person's income. It is divided into five ranges: below $25K, $25K-49,999, $50K-74,999, $75K-99,999, and $100K or more. Statistics by income group are only available in this file for Supplements beginning in 2010; prior to 2010, family income range is available in public use datasets, but is not directly comparable to newer datasets due to the 2010 introduction of the practice of allocating "don't know," "refused," and other responses that result in missing data. Prior to 2010, family income is unkown for approximately 20 percent of persons, while in 2010 the Census Bureau began imputing likely income ranges to replace missing data. 5. education: Educational attainment is divided into "No Diploma," "High School Grad,

  • API

    Quitline – Services Available – Hours Of Operation And Available Languages - 2010 To Present

    chronicdata.cdc.gov | Last Updated 2017-10-25T20:53:51.000Z

    2010-2017. National Quitline Data Warehouse (NQDW). State Tobacco Activities Tracking and Evaluation (STATE) System. NQDW Data. National Quitline Data Warehouse (NQDW) assists in evaluating quitline activities and serves as a national resource for data on the use, success, and services of state quitlines. States report data on quitline callers, quitting success, as well as the services provided by their quitlines. The NQDW consolidates this information for evaluating programs and improving quitline services. The jurisdictions participating in this data collection effort include the 50 states, the District of Columbia, Guam and Puerto Rico.