The median earnings of District of Columbia, DC was $53,377 in 2018.
Earnings and Gender
Earnings and Education
Above charts are based on data from the U.S. Census American Community Survey | ODN Dataset | API -
Jobs and Earnings Datasets Involving District of Columbia, DC
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Summary Financial Information for Local Development Corporations
data.ny.gov | Last Updated 2022-12-02T16:17:19.000ZPublic authorities are required by Section 2800 of Public Authorities Law to submit annual reports to the Authorities Budget Office that includes summary financial information. The dataset consists of information from the statement of net assets and the statement of revenues, expenses and change in net assets reported by Local Development Corporations that covers 8 fiscal years, which includes fiscal years ending in the most recently completed calendar year.
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Summary Financial Information for Local Authorities
data.ny.gov | Last Updated 2022-12-02T16:17:17.000ZPublic authorities are required by Section 2800 of Public Authorities Law to submit annual reports to the Authorities Budget Office that includes summary financial information. The dataset consists of information from the statement of net assets and the statement of revenues, expenses and change in net assets reported by Local Authorities that covers 8 fiscal years, which includes fiscal years ending in the most recently completed calendar year.
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Summary Financial Information for Industrial Development Agencies
data.ny.gov | Last Updated 2022-12-02T16:17:14.000ZPublic authorities are required by Section 2800 of Public Authorities Law to submit annual reports to the Authorities Budget Office that includes summary financial information. The dataset consists of information from the statement of net assets and the statement of revenues, expenses and change in net assets reported by Industrial Development Agencies that covers 8 fiscal years, which includes fiscal years ending in the most recently completed calendar year.
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Summary Financial Information for State Authorities
data.ny.gov | Last Updated 2022-12-02T15:34:26.000ZPublic authorities are required by Section 2800 of Public Authorities Law to submit annual reports to the Authorities Budget Office that includes summary financial information. The dataset consists of information from the statement of net assets and the statement of revenues, expenses and change in net assets reported by State Authorities The dataset contains information that covers 8 fiscal years, which includes fiscal years ending in the most recently completed calendar year.
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Uninsured Population Census Data CY 2009-2014 Human Services
data.pa.gov | Last Updated 2022-10-18T14:19:11.000ZThis 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.
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2021 CEV: Current Population Survey Civic Engagement and Volunteering Supplement
data.americorps.gov | Last Updated 2023-05-01T20:55:36.000ZThe Current Population Survey Civic Engagement and Volunteering (CEV) Supplement is the most robust longitudinal survey about volunteerism and other forms of civic engagement in the United States. Produced by AmeriCorps in partnership with the U.S. Census Bureau, the CEV takes the pulse of our nation’s civic health every two years. The data on this page was collected in September of 2021. The CEV can support evidence-based decision making and efforts to understand how people make a difference in communities across the country. For topline findings from the 2021 CEV, please see: 1) Volunteering and Civic Life in America research https://americorps.gov/about/our-impact/volunteering-civic-life 2) National rates of all measures https://data.americorps.gov/Volunteering-and-Civic-Engagement/2017-2021-CEV-Findings-National-Rates-of-All-Measu/rhng-qtzw 3) National rates of all measures by demographics https://data.americorps.gov/Volunteering-and-Civic-Engagement/2017-2021-CEV-Findings-National-Rates-of-All-Measu/bhmf-84dy 4) State-level rates of all measures https://data.americorps.gov/Volunteering-and-Civic-Engagement/2017-2021-CEV-Findings-State-Level-Rates-of-All-Me/4r6x-re58 We encourage all users to download and review the following resources provided as attachments to this dataset (click on "Show More" to view): 1) 2021 CEV Top Line Findings - slides from January 27, 2023 presentation of top line findings 2) 2021 CEV Dataset Fact Sheet – brief summary of technical aspects of the 2021 CEV dataset 3) CEV FAQs – answers to frequently asked technical questions about the CEV 4) 2021 CEV Analytic Data and Setup Files – analytic dataset in Stata (.dta) and Excel (.csv) formats, codebook for analytic dataset, and Stata code (.do) to convert raw dataset to analytic formatting produced by AmeriCorps 5) 2021 CEV Technical Documentation – codebook for raw dataset and full supplement documentation produced by U.S. Census Bureau 6) 2021 CEV Nonresponse Analysis – technical report produced by U.S. Census Bureau 7) 2021 CEV Raw Data and Read In Files – raw dataset in Stata (.dta) format, Stata code (.do) and dictionary file (.dct) to read ASCII dataset (.dat) into Stata using layout files (.lis)
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2019 CEV: Current Population Survey Civic Engagement and Volunteering Supplement
data.americorps.gov | Last Updated 2023-05-01T20:53:51.000ZThe Current Population Survey Civic Engagement and Volunteering (CEV) Supplement is the most robust longitudinal survey about volunteerism and other forms of civic engagement in the United States. Produced by AmeriCorps in partnership with the U.S. Census Bureau, the CEV takes the pulse of our nation’s civic health every two years. The data on this page was collected in September of 2019. The CEV can support evidence-based decision making and efforts to understand how people make a difference in communities across the country. For topline findings from the 2019 CEV, please see: 1) Key findings summary report https://americorps.gov/sites/default/files/document/2019%20CPS%20CEV%20findings%20report%20CLEAN_10Dec2021_508.pdf 2) National rates of all measures https://data.americorps.gov/Volunteering-and-Civic-Engagement/2017-2021-CEV-Findings-National-Rates-of-All-Measu/rhng-qtzw 3) National rates of all measures by demographics https://data.americorps.gov/Volunteering-and-Civic-Engagement/2017-2021-CEV-Findings-National-Rates-of-All-Measu/bhmf-84dy 4) State-level rates of all measures https://data.americorps.gov/Volunteering-and-Civic-Engagement/2017-2021-CEV-Findings-State-Level-Rates-of-All-Me/4r6x-re58 We encourage all users to download and review the following resources provided as attachments to this dataset: 1) CEV FAQs – answers to frequently asked technical questions about the CEV 2) 2019 CEV Analytic Data and Setup Files – analytic dataset in Stata (.dta) and Excel (.csv) formats, codebook for analytic dataset, and Stata code (.do) to convert raw dataset to analytic formatting produced by AmeriCorps 3) 2019 Technical Documentation – codebook for raw dataset and full supplement documentation produced by U.S. Census Bureau 4) 2019 CEV Raw Data and Read In Files – raw dataset in Stata (.dta) format, Stata code (.do) and dictionary file (.dct) to read ASCII dataset (.dat) into Stata using layout files (.lis)
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2017 CEV: Current Population Survey Civic Engagement and Volunteering Supplement
data.americorps.gov | Last Updated 2023-05-01T20:50:17.000ZThe Current Population Survey Civic Engagement and Volunteering (CEV) Supplement is the most robust longitudinal survey about volunteerism and other forms of civic engagement in the United States. Produced by AmeriCorps in partnership with the U.S. Census Bureau, the CEV takes the pulse of our nation’s civic health every two years. The data on this page was collected in September of 2017. The CEV can support evidence-based decision making and efforts to understand how people make a difference in communities across the country. For topline findings from the 2017 CEV, please see: 1) National rates of all measures https://data.americorps.gov/Volunteering-and-Civic-Engagement/2017-2021-CEV-Findings-National-Rates-of-All-Measu/rhng-qtzw 2) National rates of all measures by demographics https://data.americorps.gov/Volunteering-and-Civic-Engagement/2017-2021-CEV-Findings-National-Rates-of-All-Measu/bhmf-84dy 3) State-level rates of all measures https://data.americorps.gov/Volunteering-and-Civic-Engagement/2017-2021-CEV-Findings-State-Level-Rates-of-All-Me/4r6x-re58 We encourage all users to download and review the following resources provided as attachments to this dataset: 1) CEV FAQs – answers to frequently asked technical questions about the CEV 2) 2017 CEV Analytic Data and Setup Files – analytic dataset in Stata (.dta) and Excel (.csv) formats, codebook for analytic dataset, and Stata code (.do) to convert raw dataset to analytic formatting produced by AmeriCorps 3) 2017 Technical Documentation – codebook for raw dataset and full supplement documentation produced by U.S. Census Bureau 4) 2017 CEV Raw Data and Read In Files – raw dataset in Stata (.dta) format, Stata code (.do) and dictionary file (.dct) to read ASCII dataset (.dat) into Stata using layout files (.lis)