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The population density of New Castle County, DE was 1,302 in 2018. The population density of Camden County, NJ was 2,293 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.

2. To build your own apps using this data, see the ODN Dataset and API links.

3. If you use this derived data in an app, we ask that you provide a link somewhere in your applications to the Open Data Network with a citation that states: "Data for this application was provided by the Open Data Network" where "Open Data Network" links to http://opendatanetwork.com. Where an application has a region specific module, we ask that you add an additional line that states: "Data about REGIONX was provided by the Open Data Network." where REGIONX is an HREF with a name for a geographical region like "Seattle, WA" and the link points to this page URL, e.g. http://opendatanetwork.com/region/1600000US5363000/Seattle_WA

Geographic and Population Datasets Involving Camden County, NJ or New Castle County, DE

  • API

    Inmate Population

    data.delaware.gov | Last Updated 2024-06-01T10:30:19.000Z

    The Delaware Department of Correction (DOC) operates four prison facilities (Level V), eight quasi-incarceration community corrections facilities that serve as violation of probation centers or work release centers (Level IV), and five Probation & Parole locations (Levels III, II, and I). Offenders may also be supervised while on home confinement, or the offender may be supervised on an administrative basis only while restitution is paid. Some offenders are physically housed at the Delaware Psychiatric Center while in the custody of the DOC. This dataset provides a snapshot of the offender population in custody or under supervision at these various locations on the last day of each calendar month. A count of how many offenders by the year, month (snapshot of last day of month), county, type of institution, institution name, sentence type, gender, race, and ethnicity can be produced by selecting the desired variable in each category. Questions about offender data can be directed to the DOC’s Planning & Research Unit. Instructions for submitting a data request can be found here: http://www.doc.delaware.gov/datarequests.shtml. The DOC’s annual reports (http://www.doc.delaware.gov/annualReport.shtml) also contain a variety of information and data.

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    Total NJ Injury Crashes By County - No Private Properties

    data.nj.gov | Last Updated 2022-07-20T13:36:33.000Z

    Number of injury crashes that occurred in each of the 21 counties of New Jersey and the total number of injury crashes for the years 2001 to current. Injury crashes that occurred on private properties are not included.

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    Total NJ Crash Records By County - No Private Properties

    data.nj.gov | Last Updated 2022-07-20T13:46:09.000Z

    Number of crashes that occurred in each of the 21 counties of New Jersey and the total number of crashes for the years 2001 to current. Crashes that occurred on private properties are not included.

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    NJ Construction Permit Data

    data.nj.gov | Last Updated 2024-05-10T19:11:37.000Z

    Data received as of 5/7/2024. N.J.A.C. 5:23-4.5 (d) requires municipalities to report to DCA monthly, information on each construction permit issued. Contains information about construction permits issued in New Jersey, including demolition permits. Data is collected from most, but not all municipalities that issue permits. It is processed and updated monthly. Data is purged from this dataset after 60 months have elapsed since the data was received. Accuracy of this data is not guaranteed, it may contain errors, and may not be complete. Data for permits issued in the immediate previous two months has not been reviewed. Note that this is the raw unaudited data, and may vary from the official published information in the monthly and annual Construction Reporter, as the official report contains corrected data, and the official report does not include updates received after the date of publication. We have no data for these municipalities: ALPHA WARREN 2102, ANDOVER BOROUGH SUSSEX 1901, LAKEHURST OCEAN 1513, NATIONAL PARK GLOUCESTER 0812, PINE BEACH OCEAN 1522, QUINTON SALEM 1711, VICTORY GARDENS MORRIS 1437, WINFIELD UNION 2021, WOODLYNNE CAMDEN 0437 Note: We've added Treasury Municipality Code to this dataset, and separated the Municipality Name in to Muni Name and Muni Type. Note 2: Questions on individual permit records should be directed to the office or agency which originally issued the permit. Note 3: This is raw data. An audited and summarized version of this infomation is available at https://www.nj.gov/dca/divisions/codes/reporter/building_permits.html . Note 4: Please be advised that this is the complete copy of our database. We do not have any additional fields for this data. We do not get property address, geocoding, owner names, type of work. What we have here is all we get. Any additional information would have to be requested from the agency which issued the permit.

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    Waste Tire Abatement Sites

    data.ny.gov | Last Updated 2022-08-12T17:59:04.000Z

    Information on designated waste tire abatement sites in New York State, including approximate size, location, and abatement status.

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    2017 Land Use Land Cover

    data.delaware.gov | Last Updated 2023-01-12T18:50:34.000Z

    <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="text-align:Justify;margin:0 0 0 0;"><SPAN><SPAN>This digital geospatial dataset represents land use land cover polygons as defined by the Delaware Modified Anderson System derived from: A Land Use and Land Cover Classification System for Use with Remote Sensor Data, U. S. Geological Survey Professional Paper 964, 1976; edited by Delaware in 2007, and 2012. The LULC update was performed using ArcGIS software tools, coding menus, and interactive photo-interpretative mapping techniques. Three relevant fields are included in the dataset attribute table: </SPAN></SPAN></P><P STYLE="text-align:Justify;margin:0 0 0 0;"><SPAN /><SPAN /></P><UL><LI><P STYLE="text-align:Justify;"><SPAN STYLE="font-weight:bold;"><SPAN>“LULC</SPAN></SPAN><SPAN STYLE="font-weight:bold;text-decoration:underline;"><SPAN>_</SPAN></SPAN><SPAN STYLE="font-weight:bold;"><SPAN>CODE2017”</SPAN></SPAN><SPAN> – Delaware Modified Anderson System numeric code per 2017 polygons</SPAN></P></LI><LI><P STYLE="text-align:Justify;"><SPAN /><SPAN STYLE="font-weight:bold;">“LULC</SPAN><SPAN STYLE="font-weight:bold;text-decoration:underline;"><SPAN>_</SPAN></SPAN><SPAN STYLE="font-weight:bold;"><SPAN>CATEGORY2017”</SPAN></SPAN><SPAN> – Delaware Modified Anderson System category description per 2017 polygons</SPAN></P></LI><LI><P STYLE="text-align:Justify;"><SPAN /><SPAN STYLE="font-weight:bold;">“LULC_CATEGORY2017_CONDENSED” </SPAN><SPAN>- Delaware Modified Anderson System category description per 2017 polygons with reduced number of selected categories for enhanced viewing and comprehension.</SPAN></P></LI><LI><P STYLE="text-align:Justify;"><SPAN /><SPAN STYLE="font-weight:bold;">“NCC_RES_DENSITY2017”</SPAN><SPAN><SPAN> - Additional residential density classes applied specifically to New Castle County as follows: </SPAN></SPAN></P></LI></UL><P STYLE="text-indent:48;margin:0 0 0 48;"><SPAN><SPAN>1 = Very Low Density Residential 5 - 20 acre lots, based on parcel use categories</SPAN></SPAN></P><P STYLE="text-indent:48;margin:0 0 0 48;"><SPAN><SPAN>2 = Low Density Residential 5 - 0.5 acre lot </SPAN></SPAN></P><P STYLE="text-indent:48;margin:0 0 0 48;"><SPAN><SPAN>3 = Medium Density Residential 2 du/acre - 8 du/acre (0.5 - .125 acre lot)</SPAN></SPAN></P><P STYLE="text-indent:48;margin:0 0 0 48;"><SPAN><SPAN>4 = High Density Residential &gt;8 du/acre (&lt;.125 acre lot)</SPAN></SPAN></P><UL><LI><P STYLE="text-align:Justify;"><SPAN STYLE="font-weight:bold;"><SPAN>“LULC_CODE2012”</SPAN></SPAN><SPAN> – Delaware Modified Anderson System numeric code per 2012 polygons</SPAN></P></LI><LI><P STYLE="text-align:Justify;"><SPAN /><SPAN STYLE="font-weight:bold;">“LULC_CATEGORY2012”</SPAN><SPAN><SPAN> – Delaware Modified Anderson System category description per 2012 polygons.</SPAN></SPAN></P></LI></UL></DIV></DIV></DIV>

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    County to CBSA Mapping for Large Metros

    data.bayareametro.gov | Last Updated 2022-08-26T07:12:04.000Z

    Data contains counties in the following list of CBSAS (per OMB Mar 2020 definition): Bay Area CBSAs: San Francisco-Oakland-Berkeley, CA San Jose-Sunnyvale-Santa Clara, CA Napa, CA Santa Rosa-Petaluma, CA Other CBSAs: Los Angeles-Long Beach-Anaheim, CA Washington-Arlington-Alexandria, DC-VA-MD-WV Denver-Aurora-Lakewood, CO Detroit-Warren-Dearborn, MI Philadelphia-Camden-Wilmington, PA-NJ-DE-MD Boston-Cambridge-Newton, MA-NH New York-Newark-Jersey City, NY-NJ-PA Phoenix-Mesa-Chandler, AZ Houston-The Woodlands-Sugar Land, TX Seattle-Tacoma-Bellevue, WA Atlanta-Sandy Springs-Alpharetta, GA Chicago-Naperville-Elgin, IL-IN-WI Austin-Round Rock-Georgetown, TX Dallas-Fort Worth-Arlington, TX Miami-Fort Lauderdale-Pompano Beach, FL

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

    opendata.utah.gov | Last Updated 2019-04-19T01:42:51.000Z

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

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    Incidence Rate Of Leukemia Per 100,000 All States

    opendata.utah.gov | Last Updated 2019-04-19T00:30:16.000Z

    Incidence Rate Of Leukemia Per 100,000 All States

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    MTA Transit Oriented Development (TOD) Data

    opendata.maryland.gov | Last Updated 2024-03-25T15:38:10.000Z

    *** DISCLAIMER - This web page is a public resource of general information. The Maryland Mass Transit Administration (MTA) makes no warranty, representation, or guarantee as to the content, sequence, accuracy, timeliness, or completeness of any of the spatial data or database information provided herein. MTA and partner state, local, and other agencies shall assume no liability for errors, omissions, or inaccuracies in the information provided regardless of how caused; or any decision made or action taken or not taken by any person relying on any information or data furnished within. *** This dataset assesses rail station potential for different forms of transit oriented development (TOD). A key driver of increased transit ridership in Maryland, TOD capitalizes on existing rapid transit infrastructure. The online tool focuses on the MTA’s existing MARC Commuter Rail, Metro Subway, and Central Light Rail lines and includes information specific to each station. The goal of this dataset is to give MTA planning staff, developers, local governments, and transit riders a picture of how each MTA rail station could attract TOD investment. In order to make this assessment, MTA staff gathered data on characteristics that are likely to influence TOD potential. The station-specific data is organized into 6 different categories referring to transit activity; station facilities; parking provision and utilization; bicycle and pedestrian access; and local zoning and land availability around each station. As a publicly shared resource, this dataset can be used by local communities to identify and prioritize area improvements in coordination with the MTA that can help attract investment around rail stations. You can view an interactive version of this dataset at geodata.md.gov/tod. ** Ridership is calculated the following ways: Metro Rail ridership is based on Metro gate exit counts. Light Rail ridership is estimated using a statistical sampling process in line with FTA established guidelines, and approved by the FTA. MARC ridership is calculated using two (2) independent methods: Monthly Line level ridership is estimated using a statistical sampling process in line with FTA established guidelines, and approved by the FTA. This method of ridership calculation is used by the MTA for official reporting purposes to State level and Federal level reporting. Station level ridership is estimated by using person counts completed by the third party vendor. This method of calculation has not been verified by the FTA for statistical reporting and is used for scheduling purposes only. However, because of the granularity of detail, this information is useful for TOD applications. *Please note that the monthly level ridership and the station level ridership are calculated using two (2) independent methods that are not interchangeable and should not be compared for analysis purposes.