- What is the Population Rate of Change?
- What is the Population Density?
- What is the Land Area?
- What is the Percent who did not finish the 9th grade?
- What is the Median Earnings?
- What is the Number of Employees?
- What is the Crime incident count?
- What is the Water Area?
- What is the High School Graduation Rate?
- What is the Median Female Earnings?
The population count of Washington, DC was 672,391 in 2017.
Demographics and Population Datasets Involving Washington, DC
- API data.ny.gov | Last Updated 2018-11-20T23:01:09.000Z
This dataset shows the population, civilian labor force, unemployed, and unemployment rate for people aged 16 years and older by race and ethnicity in New York State and its Labor Market Regions.
- API data.cityofnewyork.us | Last Updated 2018-09-10T19:15:19.000Z
"Ratio of Homeless Population to General Population in major US Cities in 2010. *This represents a list of large U.S. cities for which DHS was able to confirm a recent estimate of the unsheltered population. A 2010 result is only available for Seattle, WA. Other cities either did not conduct a count in 2010, or their 2010 results are not yet available. 2009 unsheltered census figures were used for Los Angeles, San Francisco, Miami, and Washington, DC, and Boston; the 2007 estimate is used for Chicago. General population figures are the latest estimates from the U.S. Census Bureau."
- API data.wa.gov | Last Updated 2016-01-12T20:06:06.000Z
- API data.wa.gov | Last Updated 2016-05-16T23:56:57.000Z
(Source: CMS Medicare Geographic Variation Public Use File, December 2015)
- API data.wa.gov | Last Updated 2016-08-09T16:23:33.000Z
Population and housing information extracted from decennial census Public Law 94-171 redistricting summary files for Washington state for years 2000 and 2010.
- API data.pa.gov | Last Updated 2019-04-01T15:15:07.000Z
This data is pulled from the U.S. Census website. This data is for years Calendar Years 2009-2014. Product: SAHIE File Layout Overview Small Area Health Insurance Estimates Program - SAHIE Filenames: SAHIE Text and SAHIE CSV files 2009 – 2014 Source: Small Area Health Insurance Estimates Program, U.S. Census Bureau. Internet Release Date: May 2016 Description: Model‐based Small Area Health Insurance Estimates (SAHIE) for Counties and States File Layout and Definitions The Small Area Health Insurance Estimates (SAHIE) program was created to develop model-based estimates of health insurance coverage for counties and states. This program builds on the work of the Small Area Income and Poverty Estimates (SAIPE) program. SAHIE is only source of single-year health insurance coverage estimates for all U.S. counties. For 2008-2014, SAHIE publishes STATE and COUNTY estimates of population with and without health insurance coverage, along with measures of uncertainty, for the full cross-classification of: •5 age categories: 0-64, 18-64, 21-64, 40-64, and 50-64 •3 sex categories: both sexes, male, and female •6 income categories: all incomes, as well as income-to-poverty ratio (IPR) categories 0-138%, 0-200%, 0-250%, 0-400%, and 138-400% of the poverty threshold •4 races/ethnicities (for states only): all races/ethnicities, White not Hispanic, Black not Hispanic, and Hispanic (any race). In addition, estimates for age category 0-18 by the income categories listed above are published. Each year’s estimates are adjusted so that, before rounding, the county estimates sum to their respective state totals and for key demographics the state estimates sum to the national ACS numbers insured and uninsured. This program is partially funded by the Centers for Disease Control and Prevention's (CDC), National Breast and Cervical Cancer Early Detection ProgramLink to a non-federal Web site (NBCCEDP). The CDC have a congressional mandate to provide screening services for breast and cervical cancer to low-income, uninsured, and underserved women through the NBCCEDP. Most state NBCCEDP programs define low-income as 200 or 250 percent of the poverty threshold. Also included are IPR categories relevant to the Affordable Care Act (ACA). In 2014, the ACA will help families gain access to health care by allowing Medicaid to cover families with incomes less than or equal to 138 percent of the poverty line. Families with incomes above the level needed to qualify for Medicaid, but less than or equal to 400 percent of the poverty line can receive tax credits that will help them pay for health coverage in the new health insurance exchanges. We welcome your feedback as we continue to research and improve our estimation methods. The SAHIE program's age model methodology and estimates have undergone internal U.S. Census Bureau review as well as external review. See the SAHIE Methodological Review page for more details and a summary of the comments and our response. The SAHIE program models health insurance coverage by combining survey data from several sources, including: •The American Community Survey (ACS) •Demographic population estimates •Aggregated federal tax returns •Participation records for the Supplemental Nutrition Assistance Program (SNAP), formerly known as the Food Stamp program •County Business Patterns •Medicaid •Children's Health Insurance Program (CHIP) participation records •Census 2010 Margin of error (MOE). Some ACS products provide an MOE instead of confidence intervals. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
- API data.wa.gov | Last Updated 2013-10-31T22:06:45.000Z
This dataset is a survey of outdoor recreation demand which includes responses from 3,114 residents of Washington state who were interviewed by phone between August 27 and October 26, 2012. The telephone survey was conducted using random digit dialing. To meet the regional planning requirements of the project, the sample was stratified by the 10 planning regions in Washington (see the 2013 SCORP Plan, Appendix A for survey methodology and map). The consultant obtained a minimum of 300 completed interviews in each region. Within each region, the results were weighted by demographic characteristics so that the sample was representative of residents of that region. For statewide results, each region was weighted to be in proper proportion to the state population as a whole. Study findings are representative at the statewide level as well as by planning region. Any manipulation or analysis of the data should take this sampling approach and weighting into account.
Learning Improvement Information Center: Regional Indicators for Household surveys, Coverage, Efficiency, Youth Inactivity and Education Levels.mydata.iadb.org | Last Updated 2019-04-08T19:16:20.000Z
This dataset consists of statistics measuring the educational attainment and average years of schooling of the adult population, how many children are actively participating in the school system, the efficiency of the school system, and youth inactivity. Main indicators: mean years of schooling, educational attainment, attendance rates, out of school children, overage rates, years in school vs schooling years, and youth inactivity.
- API data.wa.gov | Last Updated 2018-02-21T22:02:43.000Z
The Washington legislature has established a comprehensive system of corrections for convicted law violators within the state of Washington to accomplish a primary objective of ensuring public safety. The system is designed and managed to provide the maximum feasible safety for the persons and property of the general public, the staff, and the inmates (RCW 72.09.010).
- API data.redmond.gov | Last Updated 2017-10-04T22:35:38.000Z
A set of basic demographic and economic data such as population, jobs, business licenses, income and poverty rate.