The population density of District of Columbia, DC was 11,212 in 2018. The population density of Montgomery County, MD was 2,117 in 2018.

Population Density

Population Density is computed by dividing the total population by Land Area Per Square Mile.

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

1. ODN datasets and APIs are subject to change and may differ in format from the original source data in order to provide a user-friendly experience on this site.

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Geographic and Population Datasets Involving District of Columbia, DC or Montgomery County, MD

  • API

    Crime

    data.montgomerycountymd.gov | Last Updated 2024-05-28T07:35:47.000Z

    Updated daily postings on Montgomery County’s open data website, dataMontgomery, provide the public with direct access to crime statistic databases - including raw data and search functions – of reported County crime. The data presented is derived from reported crimes classified according to the National Incident-Based Reporting System (NIBRS) of the Criminal Justice Information Services (CJIS) Division Uniform Crime Reporting (UCR) Program and documented by approved police incident reports. The data is compiled by “EJustice”, a respected law enforcement records-management system used by the Montgomery County Police Department and many other law enforcement agencies. To protect victims’ privacy, no names or other personal information are released. All data is refreshed on a quarterly basis to reflect any changes in status due to on-going police investigation. dataMontgomery allows the public to query the Montgomery County Police Department's database of founded crime. The information contained herein includes all founded crimes reported after July 1st 2016 and entered to-date utilizing Uniform Crime Reporting (UCR) rules. Please note that under UCR rules multiple offenses may appear as part of a single founded reported incident, and each offense may have multiple victims. Please note that these crime reports are based on preliminary information supplied to the Police Department by the reporting parties. Therefore, the crime data available on this web page may reflect: -Information not yet verified by further investigation -Information that may include attempted and reported crime -Preliminary crime classifications that may be changed at a later date based upon further investigation -Information that may include mechanical or human error -Arrest information [Note: all arrested persons are presumed innocent until proven guilty in a court of law.] Update Frequency: Daily

  • API

    MC311 Service Requests

    data.montgomerycountymd.gov | Last Updated 2024-05-28T05:17:39.000Z

    Information on all MC311 Service Requests received (via email or phone) since July 1, 2012. This data is updated daily. The PIO’s business requirement includes adding the following data elements to the new and enhanced open data site being proposed by DTS. This data is derived from requests for service which originate in the CSC, from the County’s web portal, and via “walk-ins” from county departments including but not limited to DHCA. • SLA – to indicate the number of days in county business days the department has to fulfill the request. County business days must exclude weekends, county holidays and days when the county is closed due to inclement weather (snow days, etc) per CountyStat’s business requirement. This field has been published in the existing MC311 Service Requests dataset with the field name ‘Attached Solution SLA Days’. • +/- SLA –to indicate the number of days a service request is over or under SLA as is currently measured by CountyStat. The following 4 fields will be added to fulfill this line item  # of days open – Number of County Business days the Service Request has been opened.  Within SLA Window? - To indicate the number of days a service request is over or under SLA as is currently measured by CountyStat.  SLA Yes – Number of days to fulfill the service request is under the SLA window.  SLA No -– Number of days to fulfill the service request is over the SLA window.

  • API

    COVID-19 Aggregate Cases NO FURTHER UPDATES

    data.pa.gov | Last Updated 2024-05-08T14:25:45.000Z

    Weekly updates have finished with the June 28th update. Some information may be found here: https://covid.cdc.gov/covid-data-tracker/#maps_new-admissions-rate-state <br> This dataset contains aggregate COVID-19 case counts and rates by date of first report for all counties in Pennsylvania and for the state as a whole. Counts include both confirmed and probable cases as defined by the Council of State and Territorial Epidemiologists (CSTE). At present, a person is counted as a case only once. Note that case counts by date of report are influenced by a variety of factors, including but not limited to testing availability, test ordering patterns (such as day of week patterns), labs reporting backlogged test results, and mass screenings in nursing homes, workplaces, schools, etc. Case reports received without a patient address are assigned to the county of the ordering provider or facility based on provider zip code. Cases reported with a residential address that does not match to a known postal address per the commonwealth geocoding service are assigned to a county based on the zip code of residence. Many zip codes cross county boundaries so there is some degree of misclassification of county. All counts may change on a daily basis due to reassignment of jurisdiction, removal of duplicate case reports, correction of errors, and other daily data cleaning activities. Downloaded data represents the best information available as of the previous day. <br> Data will be updated between 11:30 am to 1:30pm each Wednesday.

  • API

    COVID-19 Aggregate Death Data Current Monthly County Health

    data.pa.gov | Last Updated 2024-05-08T15:02:53.000Z

    This dataset contains aggregate death data at the state and county level for Pennsylvania residents. The data are displayed by county, date, death counts, averages, rates based on population. Pennsylvania statewide numbers are listed with Pennsylvania named as the county for the statewide totals. Do not add up the entire file (all rows) or counts will be duplicated.

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    NCHS - Leading Causes of Death: United States

    data.cdc.gov | Last Updated 2022-03-30T14:26:37.000Z

    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.

  • API

    Crash Reporting - Incidents Data

    data.montgomerycountymd.gov | Last Updated 2024-02-09T06:41:14.000Z

    This dataset provides general information about each collision and details of all traffic collisions occurring on county and local roadways within Montgomery County, as collected via the Automated Crash Reporting System (ACRS) of the Maryland State Police, and reported by the Montgomery County Police, Gaithersburg Police, Rockville Police, or the Maryland-National Capital Park Police. Please note that these collision reports are based on preliminary information supplied to the Police Department by the reporting parties. Therefore, the collision data available on this web page may reflect: -Information not yet verified by further investigation -Information that may include verified and unverified collision data -Preliminary collision classifications may be changed at a later date based upon further investigation -Information may include mechanical or human error This dataset can be joined with the other 2 Crash Reporting datasets (see URLs below) by the State Report Number. * Crash Reporting - Drivers Data at https://data.montgomerycountymd.gov/Public-Safety/Crash-Reporting-Drivers-Data/mmzv-x632 * Crash Reporting - Non-Motorists Data at https://data.montgomerycountymd.gov/Public-Safety/Crash-Reporting-Non-Motorists-Data/n7fk-dce5 Update Frequency : Weekly

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    MD COVID-19 - Total Vaccinations Statewide

    opendata.maryland.gov | Last Updated 2023-04-27T15:54:38.000Z

    Regarding all Vaccination Data The date of Last Update is 4/21/2023. Additionally on 4/27/2023 several COVID-19 datasets were retired and no longer included in public COVID-19 data dissemination. See this link for more information https://imap.maryland.gov/pages/covid-data <b>Summary</b> The cumulative number of COVID-19 vaccinations in Maryland: First dose, second dose, single dose, total vaccinations. <b>Description</b> The MD COVID-19 - Total Vaccinations Statewide data layer is a collection of the statewide COVID-19 vaccinations that have been reported each day into ImmuNet. Doses administered also account for doses of vaccine provided to the District of Columbia to vaccinate Maryland residents who work in DC. <b>Terms of Use</b> The Spatial Data, and the information therein, (collectively the "Data") is provided "as is" without warranty of any kind, either expressed, implied, or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted, nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct, indirect, incidental, consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data, nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

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    2014 Election - Early Voting Centers

    data.montgomerycountymd.gov | Last Updated 2023-06-20T15:28:04.000Z

    2014 early voting locations in Montgomery County as selected October 21, 2013, subject to approval by the Maryland State Board of Elections. For more information, see www.777vote.org.

  • API

    Master Electrician License

    data.montgomerycountymd.gov | Last Updated 2024-04-29T08:20:53.000Z

    This dataset contains a list of Master Electrician's License information. A Master Electrician's License is required when an electrical contractor wishes to obtain a permit to perform electrical work in Montgomery County. Update Frequency : Daily

  • API

    State Recidivism Rates All States

    opendata.utah.gov | Last Updated 2019-04-19T00:28:02.000Z

    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.