Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset includes neighborhood boundaries for 150+ neighborhoods in Philadelphia. The data was gathered from a mix of publicly available maps, including from the City of Philadelphia, the City Archives, the Philadelphia Inquirer, and user feedback.
View metadata for key information about this dataset.Locations are identified by commercial type, physical character, size, condition, stage, management activity, and various type of public investment and improvements. Locations range from large, regional and specialty destinations to corridors that reflect the evolving economy, culture, and aesthetic traditions of surrounding neighborhoods.For questions about this dataset, contact pauline.loughlin@phila.gov. For technical assistance, email maps@phila.gov.
This Story Map developed by the Department of Public Health allows users to interactively explore data and maps contained in the Neighborhood Food Retail in Philadelphia report http://foodfitphilly.org/neighborhoodfoodretail/.This 2019 report maps neighborhood availability of “high-produce supply stores” (e.g., supermarkets, produce stores, farmers’ markets) in relation to “low-produce supply stores” (like dollar stores, pharmacies, and convenience stores). This dual approach recognizes the central role produce plays in a healthy diet, and the fact that the broad availability of cheap, less-healthy food can impact diet as well. We know that people don’t always shop for food at the store closest to their house, and factors like price, quality, and cleanliness also impact our choices. But it’s important to measure the “food store mix” by neighborhood to understand if there are place-based disparities in food choices.
A scope of work was developed in response to a request by the U.S. Army Corps of Engineers, Philadelphia District. The request was to perform a topographic change grid analysis for the Frankford 7.5-minute quadrangle, 1:24,000-scale topographic map, which includes the Wissinoming neighborhood, and the Germantown 7.5-minute quadrangle, which includes the Logan and Feltonville neighborhoods of the City of Philadelphia. The following tasks were performed under this scope of work: A GPS-corrected GIS grid analysis for each quadrangle was completed and is accompanied by documentation that describes procedures and provides metadata of the informational content of the GIS. A high-resolution global positioning system (GPS) survey was conducted for each topographic quadrangle in order to evaluate and correct systematic discrepancies in elevation between the modern and historic surveys. Prior to release, the fully documented GPS-corrected GIS grid analysis for each quadrangle was reviewed for (1) com-pleteness of documentation and for (2) appropriate analysis and discussion of uncertainties. The following report is in fulfillment of the tasks outlined in this scope of work and was performed by the U. S. Geological Survey for the U. S. Army Corps of Engineers, Philadelphia District under MIPR agreement number: W25PHS93358288.
Check out the Division of Housing and Community Development website for more information about housing counseling.View metadata for key information about this dataset.Housing counseling agencies help families navigate the financial issues related to housing, and are funded in part by the City through the Division of Housing and Community Development. DHCD-funded services provided by these agencies include mortgage counseling, default and delinquency counseling, tenant support and housing consumer education. Through these services prospective homeowners can avoid predatory loans, a significant cause of foreclosure.For questions about this dataset, contact noelle.vought@phila.gov. For technical assistance, email maps@phila.gov.
Enter an address to see which school catchment area that address is located in. The application can also use the location of the user, retrieved from the user's browser, rather than an address. The map is powered by Google Maps.
DVRPC manually adjusted TIGER MCD dataset by adding Philly Planning District boundaries. To get the Planning District boundaries, census tracts were dissolved into most appropriate CPA geography. (Planning Districts are sometime referred to as County Planning Areas at DVRPC) Updated in Jan 2023 to reflect Pine Valley/Pine Hill merger (Pine Valley was incorporated into Pine Hill) The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2020 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area. See https://www2.census.gov/geo/pdfs/maps-data/data/tiger/tgrshp2020/TGRSHP2020_TechDoc_Ch3.pdf for more information Downloaded from: https://www2.census.gov/geo/tiger/TGRGDB20/ on August 13, 2020
Searchable, interactive real-estate database, which users can use to browse and evaluate properties for rent/sale based on a variety of parameters (size, pricing, proximity to amenities), metrics, and other tools (guides, map visualizations.) Users search by location (address, zipcode, neighborhood), to explore property information accompanied by a map with marked property location features, photos, as well as area/neighborhood user reviews and applicable real-estate trends. Free registration entails saved history and/or preferences, information sharing privileges with friends/family, and personalized updates. URL is specific to Philadelphia, while database is national. Users can also access real-estate data about recent listings by structuring customized data request processes or feeds (API, RSS).
CLICK HERE to view metadata. For questions or technical assistance please email maps@phila.gov.
View metadata for key information about this dataset.A Police Captain is responsible for each district. Districts are subdivided into sectors. Several districts are aggregated into divisions.See also the related datasets:Police DivisionsPolice Service AreasFor questions about this dataset, contact publicsafetygis@phila.gov. For technical assistance, email maps@phila.gov.
This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2020 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.
View metadata for key information about this dataset.The Highway Districts dataset shows boundaries of highway districts used for managing maintenance of roads. A Highway Engineer is responsible for each district. Districts can be subdivided into sections and subsections.Please note that the dataset below is a snapshot of data captured at one time and does not receive regular updates.This Highway Districts polygon layer has an accompanying arc layer.For questions about this dataset, contact michael.matela@phila.gov. For technical assistance, email maps@phila.gov.
View metadata for key information about this dataset.This layer is dissolved and queried from PWD’s internal sewer shed feature class named modelsheds. The polygons in this layer are catchments for sanitary, storm and/or combined sewer flows. These catchments are used in the hydraulic models. Data DevelopmentBase Modelsheds are maintained regularly and delineate waste water and stormwater and combined sewer catchments in Philadelphia. Storm water and waste water pipe flow are analyzed to delineate the shed boundaries.For questions about this dataset, contact raymond.pierdomenico@phila.gov. For technical assistance, email maps@phila.gov.
View metadata for key information about this dataset.The Highway Subsections layer was developed to aid the Highway Division in the planning, organizing, and maintaining of the streets within each of the fifty-six sections. Subsections can be aggregated into sections and districts. A Highway Engineer is responsible for each district. Examples of maintenance include: paving, snow removal, concrete maintenance, and the monitoring/repairing of ditches and potholes.Please note that the dataset below is a snapshot of data captured at one time and does not receive regular updates.This polygon layer also has an associated arc layer.For questions about this dataset, contact michael.matela@phila.gov. For technical assistance, email maps@phila.gov.
Check out the Year to Date Dashboard or the Year End Dashboard for this dataset. You can also use the data download tool to choose the topic of interest (i.e. arrests), the geography level (i.e. police district), and time frame to export as a csv or json dataset.View metadata for key information about this dataset.Philadelphia’s District Attorney’s Office (DAO) releases interactive data reports on the their work, including incidents (from the Philadelphia Police Department), arrests, charges, bail, outcomes, case length, future years of incarceration, future years of supervision, summary arrests, summary charges, summary case outcomes, and summary case lengths. Dashboards are organized into final year-end data (updated at the end of each year) and year-to-date data (updated daily). Each dashboard displays one or more interactive graphs showing trends, a table of data, and, optionally, an interactive map displaying the data by police districts. The dashboard does not provide for downloading data.See this data at different boundary levels:CASE_LENGTH_CENSUSCASE_LENGTH_CITYWIDECASE_LENGTH_ZIPCODEFor questions about this dataset, contact nathaniel.lownes@phila.gov. For technical assistance, email maps@phila.gov.
About the G.M. Hopkins Maps
History and Background of the Maps
Maps produced by the G.M. Hopkins Company have made a lasting impression on the boundaries of many American cities. Between 1870 and 1940, the company produced over 175 atlases and real estate plat maps that primarily covered the Eastern sea board, including cities, counties, and townships in 18 different states and the District of Columbia. In the early years, the company produced county atlases, but gradually focused on city plans and atlases. They were among the first publishers to create a cadastral atlas, a cross between a fire insurance plat and a county atlas prevalent in the 1860s-1870s. These real estate or land ownership maps (also known as plat maps) not only depict property owners, but show lot and block numbers, dimensions, street widths, and other buildings and landmarks, including churches, cemeteries, mills, schools, roads, railroads, lakes, ponds, rivers, and streams.
Originally named the G.M. Hopkins and Company, the map-making business was jointly founded in 1865 in Philadelphia, Pa., by the Hopkins brothers, G.M. and Henry. The true identity of G.M. Hopkins remains somewhat of a mystery even today. “G.M.” either stands for Griffith Morgan or George Morgan. There are three different possibilities for the confusion over his identity. “Either the compilers of the earlier [city] directories were negligent; G.M. Hopkins changed his first name; or there were two G.M. Hopkins (father and son) working for the same firm” (Moak, Jefferson M. Philadelphia Mapmakers. Philadelphia: Shackamaxon Society, 1976, p. 258).
Check out the Year to Date Dashboard or the Year End Dashboard for this dataset. You can also use the data download tool to choose the topic of interest (i.e. arrests), the geography level (i.e. police district), and time frame to export as a csv or json dataset.View metadata for key information about this dataset.Philadelphia’s District Attorney’s Office (DAO) releases interactive data reports on the their work, including incidents (from the Philadelphia Police Department), arrests, charges, bail, outcomes, case length, future years of incarceration, future years of supervision, summary arrests, summary charges, summary case outcomes, and summary case lengths. Dashboards are organized into final year-end data (updated at the end of each year) and year-to-date data (updated daily). Each dashboard displays one or more interactive graphs showing trends, a table of data, and, optionally, an interactive map displaying the data by police districts. The dashboard does not provide for downloading data.See this data at different boundary levels:CASE_OUTCOMES_CENSUSCASE_OUTCOMES_CITYWIDECASE_OUTCOMES_ZIPCODEFor questions about this dataset, contact nathaniel.lownes@phila.gov. For technical assistance, email maps@phila.gov.
Check out the Division of Housing and Community Development website for more information about the Choice Neighborhoods Initiative.View metadata for key information about this dataset.The Choice Neighborhoods program is administered by the U.S. Department of Housing and Urban Development (HUD). It supports locally driven strategies to address struggling neighborhoods with distressed public or HUD-assisted housing through a comprehensive approach to neighborhood transformation.For questions about this dataset, contact mark.dodds@phila.gov. For technical assistance, email maps@phila.gov.
Check out the Year to Date Dashboard or the Year End Dashboard for this dataset. You can also use the data download tool to choose the topic of interest (i.e. arrests), the geography level (i.e. police district), and time frame to export as a csv or json dataset.View metadata for key information about this dataset.Philadelphia’s District Attorney’s Office (DAO) releases interactive data reports on the their work, including incidents (from the Philadelphia Police Department), arrests, charges, bail, outcomes, case length, future years of incarceration, future years of supervision, summary arrests, summary charges, summary case outcomes, and summary case lengths. Dashboards are organized into final year-end data (updated at the end of each year) and year-to-date data (updated daily). Each dashboard displays one or more interactive graphs showing trends, a table of data, and, optionally, an interactive map displaying the data by police districts. The dashboard does not provide for downloading data.See this data at different boundary levels:CHARGES_CENSUSCHARGES_CITYWIDECHARGES_ZIPCODEFor questions about this dataset, contact nathaniel.lownes@phila.gov. For technical assistance, email maps@phila.gov.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset includes neighborhood boundaries for 150+ neighborhoods in Philadelphia. The data was gathered from a mix of publicly available maps, including from the City of Philadelphia, the City Archives, the Philadelphia Inquirer, and user feedback.