- What is the Percent who did not finish the 9th grade?
- What is the Percent with an associate's degree?
- What is the College Graduation Rate?
- What is the Percent with a graduate or professional degree?
- What is the Population Count?
- What is the Population Density?
- What is the Land Area?
- What is the Student Teacher Ratio?
- What is the Median Earnings?
- What is the Mean Job Proximity Index?
The high school graduation rate of District of Columbia, DC was 90.30% in 2017.
Education and Graduation Rates Datasets Involving District of Columbia, DC
- API data.austintexas.gov | Last Updated 2019-01-16T21:23:33.000Z
Austin Energy launched its Solar for Schools Program in 2006 to promote the use of solar energy and to educate students on the benefits of solar power. The program was funded by the utility, the State Energy Conservation Office, and the U.S. Department of Energy. The Solar for Schools program ended in FY2012. Go to austinenergy.com/go/solar to learn more about solar solutions from Austin Energy.
- API data.imls.gov | Last Updated 2018-04-24T14:50:13.000Z
Browse a list of known museums and related organizations in the United States as of the third quarter of FY 2015. This list contains descriptive information about museums in the 50 states and the District of Columbia based on public records and administrative data.
- API data.ny.gov | Last Updated 2018-08-07T22:38:54.000Z
This data includes the number of Loan Forgiveness recipients by program type and the region, as designated by the Department of Labor, in which they are employed beginning award year 2011 (for HESC-administered Loan Forgiveness programs only). Data has been collated by recipient region of employment. For this purpose, the current New York State Department of Labor definitions of New York State Regions, as listed on their public web site, were used.
- API data.ny.gov | Last Updated 2018-08-07T23:44:02.000Z
For selected scholarship programs, this dataset shows recipient and eligible applicant counts using a variety of metric categories. Refer to data dictionary for details.
- API data.pa.gov | Last Updated 2018-11-05T16:26:18.000Z
County level educational attainment data on the adult working aged population (25-64) by age range and gender. Data is sourced from the US Census Bureau’s American Community Survey (ACS) 5-year estimates allowing for increased statistical reliability of the data for less populated areas and small population subgroups. More information here - https://www.census.gov/data/developers/data-sets/acs-5year.html
- API data.medicaid.gov | Last Updated 2019-01-24T00:18:34.000Z
Health care providers and Head Start programs can play a major role in finding and enrolling uninsured children through presumptive eligibility. States can authorize “qualified entities” -- health care providers, community-based organizations, and schools, among others -- to screen for Medicaid and CHIP eligibility and immediately enroll children who appear to be eligible. Presumptive eligibility allows children to get access to Medicaid or CHIP services without having to wait for their application to be fully processed. Qualified entities can also help families gather the documents needed to complete the full application process, thereby reducing the administrative burden on States to obtain missing information.
- API data.pa.gov | Last Updated 2019-03-07T16:27:32.000Z
This dataset contains summary information by county on Incidents involving Drug and Alcohol reported use in Schools. School categories are Public School, Charter, Intermediate, Vo-Tech, Non-Public and other. The data count fields are suppressed when less than 11. The data and more information is also published and searchable online on the www.safeschools.pa.gov website under School Safety. Here are the infraction codes and definitions that are utilized within this report as found within appendix Z of the PIMS manual: http://www.education.pa.gov/Documents/Teachers-Administrators/PIMS/PIMS%20Manuals/2017-2018%20PIMS%20Manual%20Vol%202.pdf
- API opendata.utah.gov | Last Updated 2017-03-22T17:34:31.000Z
Public Elementary–Secondary Education Finance Data. Education finance data include revenues, expenditures, debt, and assets [cash and security holdings] of elementary and secondary public school systems. Statistics cover school systems in all states, and include the District of Columbia.
- API 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 data.cdc.gov | Last Updated 2018-08-20T17:27:51.000Z
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. SOURCES CDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov). REFERENCES 1. National Center for Health Statistics. Vital statistics data available. Mortality multiple cause files. Hyattsville, MD: National Center for Health Statistics. Available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm. 2. Murphy SL, Xu JQ, Kochanek KD, Curtin SC, and Arias E. Deaths: Final data for 2015. National vital statistics reports; vol 66. no. 6. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_06.pdf.