37 datasets found
  1. GIS Shapefile - Property Variables for Baltimore City

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    Updated Apr 5, 2019
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    Cary Institute Of Ecosystem Studies; Jarlath O'Neal-Dunne; Morgan Grove (2019). GIS Shapefile - Property Variables for Baltimore City [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-bes%2F3148%2F610
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    Dataset updated
    Apr 5, 2019
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Cary Institute Of Ecosystem Studies; Jarlath O'Neal-Dunne; Morgan Grove
    Time period covered
    Jan 1, 1999 - Dec 31, 1999
    Area covered
    Description

    Property Variables for Baltimore City. The Property Variables dataset is a compilation of variables obtained from the MD Property View 2003 Database and derived from BES geospatial datasets. The points in this dataset were subsetted from the MD MD Property View 2003 A&T Database. The criteria used to select these points was: - Can be linked to parcel data using BLOCKLOT2 - LU = Residential (residential land use) - CONSIDR > 10,000 and < 1.5 million (purchase price greater than $10,000 and less than $1.5 million) - STRUDWEL = 01, 02 or 03 (single family home or townhome) - Sales Date after Jan 1 2001. - SQFTSTRUC > 100 (square footage of the structure greater than 100) - YEARBLT > 0 (valid year built). Please refer to the enclosed documentation for a complete data dictionary along with Austin Troy's original request document with comments by Jarlath O'Neil-Dunne.

  2. Maryland Property Data - Tax Map Grids

    • data.imap.maryland.gov
    • data-maryland.opendata.arcgis.com
    • +1more
    Updated Apr 1, 2016
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    ArcGIS Online for Maryland (2016). Maryland Property Data - Tax Map Grids [Dataset]. https://data.imap.maryland.gov/datasets/dc2d4fec9e814cb98b418babffec16a4
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    Dataset updated
    Apr 1, 2016
    Dataset provided by
    https://arcgis.com/
    Authors
    ArcGIS Online for Maryland
    Area covered
    Description

    This layer contains the boundaries and IDs of the Maryland tax maps produced by Maryland Department of Planning. Tax maps, also known as assessment maps, property maps or parcel maps, are a graphic representation of real property showing and defining individual property boundaries in relationship to contiguous real property.This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Layer Link:https://geodata.md.gov/imap/rest/services/PlanningCadastre/MD_PropertyData/MapServer/2

  3. GIS Shapefile - Property Parcel Boundaries, 2003 Edition, Baltimore City,...

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    Updated Apr 5, 2019
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    Cary Institute Of Ecosystem Studies; Jarlath O'Neil-Dunne; Morgan Grove (2019). GIS Shapefile - Property Parcel Boundaries, 2003 Edition, Baltimore City, Shapefile [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-bes%2F380%2F600
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    Dataset updated
    Apr 5, 2019
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Cary Institute Of Ecosystem Studies; Jarlath O'Neil-Dunne; Morgan Grove
    Time period covered
    Jan 1, 2004 - Nov 17, 2011
    Area covered
    Description

    Parcels_2003_BACI File Geodatabase Feature Class Thumbnail Not Available Tags BES Summary There is no summary for this item. Description Parcel Data for Baltimore City obatined from BNIA will all extraneous fields removed. Editing in progress The following edits were performed: 1) Resolved edge matching issues with Baltimore County parcels that border it and fall within the Gwynns Falls Watershed. 2) BLOCKLOT errors were noted and if necessary corrected. The BLOCKLOT ID is used to link the parcel data to the MD Property View A&T database. It should be pointed out that in some instances a single BLOCKLOT ID in the Property View A&T database may correspond to more than one parcel. There are only 14 instances were a single BLOCKLOT ID corresponds to 4 or more parcels, these are typically railroads, utility, or government properties. In other cases a single BLOCKLOT ID may correspond to two separate parcels that are essentially one property bisected by a road. There are other instances where there appears no logical explanation for a single BLOCKLOT ID corresponding to multiple parcels. Credits UVM Spatial Analysis Lab Use limitations There are no access and use limitations for this item. Extent West -76.713328 East -76.525885 North 39.374474 South 39.195051 Scale Range There is no scale range for this item.

  4. b

    Percentage of Residential Properties with Housing Violations (Excluding...

    • data.baltimorecity.gov
    • vital-signs-bniajfi.hub.arcgis.com
    • +2more
    Updated Mar 24, 2020
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    Baltimore Neighborhood Indicators Alliance (2020). Percentage of Residential Properties with Housing Violations (Excluding Vacants) [Dataset]. https://data.baltimorecity.gov/maps/2eca2efba3b64cf8bd5fcf5fddfd2783
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    Dataset updated
    Mar 24, 2020
    Dataset authored and provided by
    Baltimore Neighborhood Indicators Alliance
    Area covered
    Description

    The percentage of residential properties that have received at least one housing code violation from the Baltimore City Department of Housing out of all properties. Properties whose facade, structure, and/or surrounding area violate the City's Housing Code are issued a notice and are considered open till the property is found in compliance. A property may receive multiple violations.Source: Baltimore Department of Housing and Community Development Years Available: 2010, 2011, 2012, 2013, 2015, 2016, 2017, 2018, 2019, 2020

  5. GIS Shapefile - GIS Shapefile, Assessments and Taxation Database, MD...

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    Updated Apr 5, 2019
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    Cary Institute Of Ecosystem Studies; Jarlath O'Neil-Dunne; Morgan Grove (2019). GIS Shapefile - GIS Shapefile, Assessments and Taxation Database, MD Property View 2003, Baltimore City [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-bes%2F349%2F610
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    Dataset updated
    Apr 5, 2019
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Cary Institute Of Ecosystem Studies; Jarlath O'Neil-Dunne; Morgan Grove
    Time period covered
    Jan 1, 2003 - Jan 1, 2004
    Area covered
    Description

    AT_2003_BACI_1 File Geodatabase Feature Class Thumbnail Not Available Tags There are no tags for this item. Summary There is no summary for this item. Description MD Property View 2003 A&T Database. For more information on the A&T Database refer to the enclosed documentation. This layer was edited to remove spatial outliers in the A&T Database. Spatial outliers are those points that were not geocoded and as a result fell outside of the Baltimore City Boundary; 416 spatial outliers were removed from this layer. The field BLOCKLOT2 can be used to join this layer with the Baltimore City parcel layer. Credits There are no credits for this item. Use limitations There are no access and use limitations for this item. Extent West -76.713418 East -76.526031 North 39.374429 South 39.197452

  6. GIS Shapefile - Land Use by Parcel, Baltimore City, Shapefile

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    Updated 2018
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    Cary Institute Of Ecosystem Studies; Jarlath O'Neil-Dunne; Morgan Grove (2018). GIS Shapefile - Land Use by Parcel, Baltimore City, Shapefile [Dataset]. http://doi.org/10.6073/pasta/89cb094e6cfeef283a3a86788ec7f85a
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    Dataset updated
    2018
    Dataset provided by
    DataCitehttps://www.datacite.org/
    Environmental Data Initiative
    Authors
    Cary Institute Of Ecosystem Studies; Jarlath O'Neil-Dunne; Morgan Grove
    Description

    Parcels_PROW_LU_2003_BACI

       File Geodatabase Feature Class
    
    
       Thumbnail Not Available
    
       Tags
    
       BES, Parcel, Land Use, Urban, Land
    
    
    
    
       Summary
    
    
       BES research
    
    
       Description
    
    
       Parcel-based land use (LU) and public rights-of-way (PROW), for Baltimore City. Land use (LU) codes were obtained from the 2003 MD Property View A&Tdatabase.
    
    
       Credits
    
    
       Jarlath O'Neil-Dunne, UVM Spatial Analysis Lab
    
    
       Use limitations
    
    
       Approved BES research only
    
    
       Extent
    
    
    
       West -76.713449  East -76.525885 
    
       North 39.374474  South 39.195049 
    
    
    
    
       Scale Range
    
       There is no scale range for this item.
    
  7. GIS Shapefile - GIS Shapefile, Assessments and Taxation Database, MD...

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    Updated Feb 14, 2018
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    Cary Institute Of Ecosystem Studies; Jarlath O'Neil-Dunne; Morgan Grove (2018). GIS Shapefile - GIS Shapefile, Assessments and Taxation Database, MD Property View 2004, Baltimore City [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-bes%2F351%2F600
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    Dataset updated
    Feb 14, 2018
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Cary Institute Of Ecosystem Studies; Jarlath O'Neil-Dunne; Morgan Grove
    Time period covered
    Jan 1, 2004 - Jan 1, 2005
    Area covered
    Description

    AT_2004_BACI File Geodatabase Feature Class Thumbnail Not Available Tags Socio-economic resources, Information, Social Institutions, Hierarchy, Territory, BES, Parcel, Property, Property View, A&T, Database, Assessors, Taxation Summary Serves as a basis for performing various analyses based on parcel data. Description Assessments & Taxation (A&T) Database from MD Property View 2004 for Baltimore City. The A&T Database contains parcel data from the State Department of Assessments and Taxation; it incorporates parcel ownership and address information, parcel valuation information and basic information about the land and structure(s) associated with a given parcel. These data form the basis for the 2004 Database, which also includes selected Computer Assisted Mass Appraisal (CAMA) characteristics, text descriptions to make parcel code field data more readily accessible and logical True/False fields which identify parcels with certain characteristics. Documentation for A&T, including a thorough definition for all attributes is enclosed. Complete Property View documentation can be found at http://www.mdp.state.md.us/data/index.htm under the "Technical Background" tab. It should be noted that the A&T Database consists of points and not parcel boundaries. For those areas where parcel polygon data exists the A&T Database can be joined using the ACCTID or a concatenation of the BLOCK and LOT fields, whichever is appropriate. (Spaces may have to be excluded when concatenating the BLOCK and LOT fields). A cursory review of the 2004 version of the A&T Database indicates that it has more accurate data when compared with the 2003 version, particularly with respect to dwelling types. However, for a given record it is not uncommon for numerous fields to be missing attributes. Based on previous version of the A&T Database it is also not unlikely that some of the information is inaccurate. This layer was edited to remove points that did not have a valid location because they failed to geocode. There were 379 such points. A listing of the deleted points is in the table with the suffix "DeletedRecords." Credits Maryland Department of Planning Use limitations BES use only. Extent West -76.713418 East -76.526031 North 39.374429 South 39.197452 Scale Range There is no scale range for this item.

  8. a

    Municipal Boundaries - Detailed

    • hub.arcgis.com
    • dev-maryland.opendata.arcgis.com
    Updated Nov 26, 2024
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    Maryland GeoEducation Project (2024). Municipal Boundaries - Detailed [Dataset]. https://hub.arcgis.com/maps/MDgeoED::municipal-boundaries-detailed
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    Dataset updated
    Nov 26, 2024
    Dataset authored and provided by
    Maryland GeoEducation Project
    Area covered
    Description

    State of Maryland municipality boundary dataset.Maryland Department of Planning (MDP) maps annexations from municipalities. This dataset is created and maintained by the Maryland Department of Planning. These boundaries are not intended to serve as a legal description. Fields:MUN_NAME (Municipality Name): Name of Municipality located in Maryland.RESOLUTION_NUMBER (Resolution Number): Local Municipality Annexation Resolution Number.ANNEXATION_DATE (Annexation Date) (DD/MM/YYYY): The Annexation Date field shows when there's been a change in the boundary. This date is known as the “Effective Date” from the municipality. The date 1/1/1997 is used as a default date of when annexation changes were first indicated in the GIS layer and not necessarily of when it was actually annexed. If there's a date of 1/1/1997, it can be assumed that the annexation occurred on this date or before. For example, for Baltimore City, the city boundary was determined hundreds of years ago. Other than that default date, the date will show when the property was annexed. ACRES (GIS Acres): GIS calculated acresJURSCODE (Jurisdiction Code) – Four letter county code: ALLE (Allegany), ANNE (Anne Arundel), BACI (Baltimore City), BACO (Baltimore County), CALV (Calvert), CARO (Caroline), CARR (Carroll), CECI (Cecil), CHAR (Charles), DORC (Dorchester), FRED (Frederick), GARR (Garrett), HARF (Harford), HOWA (Howard), KENT (Kent), MONT (Montgomery), PRIN (Prince George’s) QUEE (Queen Anne’s), SOME (Somerset), STMA (St. Mary’s), TALB (Talbot), WASH (Washington), WICO (Wicomico), WORC (Worcester).

  9. GIS Shapefile - Property Parcel Boundaries, 2004 Edition, Baltimore City,...

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    Updated Apr 5, 2019
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    Cary Institute Of Ecosystem Studies; Jarlath O'Neil-Dunne; Morgan Grove (2019). GIS Shapefile - Property Parcel Boundaries, 2004 Edition, Baltimore City, Shapefile [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-bes%2F382%2F600
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    Dataset updated
    Apr 5, 2019
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Cary Institute Of Ecosystem Studies; Jarlath O'Neil-Dunne; Morgan Grove
    Time period covered
    Jan 1, 2004 - Nov 17, 2011
    Area covered
    Description

    Parcels_2004_BACI File Geodatabase Feature Class Thumbnail Not Available Tags Social Order, Land, Social System, Hierarchy, Territory, Parcels, BES, Property Summary Land ownership analysis. Description Property Parcel boundaries for Baltimore City, 2004 edition. Can be linked to the MD Property View Assessors and Taxation (A&T) Databse using the BLOCKLOT field. Accuracy issues have been observed in this layer, particularly in areas where there appears to have been recent construction. In those areas parcel boundaries may not correspond to actual ground conditions. In addition 12 parcels have no BLOCKLOT identifier, another 97 have BLOCKLOT codes identifying them as 'ROW', 'ERROR', or 'ERROR/ROW', leaving 109 parcels that cannot be joined to the A&T Database. Excluding these, there are 242 duplicate BLOCKLOT codes shared by 672 parcels. The number of duplicates for a single parcel ranges from 2 to 72. Credits UVM Spatial Analysis Lab Use limitations BES use only. Extent West -76.713449 East -76.525885 North 39.374474 South 39.195049 Scale Range There is no scale range for this item.

  10. GIS Shapefile - GIS Shapefile, Computer Assisted Mass Appraisal (CAMA)...

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    Updated Apr 11, 2019
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    Cary Institute Of Ecosystem Studies; Jarlath O'Neil-Dunne; Morgan Grove (2019). GIS Shapefile - GIS Shapefile, Computer Assisted Mass Appraisal (CAMA) Database, MD Property View 2004, Baltmore County [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-bes%2F366%2F610
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    Dataset updated
    Apr 11, 2019
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Cary Institute Of Ecosystem Studies; Jarlath O'Neil-Dunne; Morgan Grove
    Time period covered
    Jan 1, 2004 - Jan 1, 2005
    Area covered
    Description

    CAMA_2004_BACO File Geodatabase Feature Class Thumbnail Not Available Tags Socio-economic resources, Information, Social Institutions, Hierarchy, Territory, BES, Parcel, Property, Property View, CAMA, Database, Structure, Appraisal Summary Detailed structural information for parcels. Description The CAMA (Computer Assisted Mass Appraisal) Database is created on a yearly basis using data obtained from the State Department of Assessments and Taxation (SDAT). Each yearly download contains additional residential housing characteristics as available for parcels included in the CAMA Database and the CAMA supplementary databases for each jurisdiction.. Documentation for CAMA, including thorough definitions for all attributes is enclosed. Complete Property View documentation can be found at http://www.mdp.state.md.us/data/index.htm under the "Technical Background" tab. It should be noted that the CAMA Database consists of points and not parcel boundaries. For those areas where parcel polygon data exists the CAMA Database can be joined using the ACCTID or a concatenation of the BLOCK and LOT fields, whichever is appropriate. (Spaces may have to be excluded when concatenating the BLOCK and LOT fields). A cursory review of the 2004 version of the CAMA Database indicates that it has more accurate data when compared with the 2003 version, particularly with respect to dwelling types. However, for a given record it is not uncommon for numerous fields to be missing attributes. Based on previous version of the CAMA Database it is also not unlikely that some of the information is inaccurate. This layer was edited to remove points that did not have a valid location because they failed to geocode. There were 3999 such points. A listing of the deleted points is in the table with the suffix "DeletedRecords." Credits Maryland Department of Planning Use limitations BES use only. Extent West -76.897802 East -76.335219 North 39.726520 South 39.192836 Scale Range There is no scale range for this item.

  11. a

    Number of Homeowner's Tax Credits per 1,000 Residential Units - City

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • data.baltimorecity.gov
    Updated Mar 30, 2020
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    Baltimore Neighborhood Indicators Alliance (2020). Number of Homeowner's Tax Credits per 1,000 Residential Units - City [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/bniajfi::number-of-homeowners-tax-credits-per-1000-residential-units-city
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    Dataset updated
    Mar 30, 2020
    Dataset authored and provided by
    Baltimore Neighborhood Indicators Alliance
    Area covered
    Description

    The number of residential properties that received the homeowners tax credit per 1,000 residential properties within an area. The homeowner?s tax credit sets a limit on the amount of property taxes any homeowner must pay based upon his or her income. Source: Baltimore City Department of Finance Years Available: 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2021

  12. GIS Shapefile - Property Parcel Boundaries, 2003 Edition, Baltimore County,...

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    Updated Feb 15, 2018
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    Cary Institute Of Ecosystem Studies; Jarlath O'Neil-Dunne (2018). GIS Shapefile - Property Parcel Boundaries, 2003 Edition, Baltimore County, Shapefile [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-bes%2F381%2F590
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    Dataset updated
    Feb 15, 2018
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Cary Institute Of Ecosystem Studies; Jarlath O'Neil-Dunne
    Time period covered
    Jan 1, 2004 - Nov 17, 2011
    Area covered
    Description

    Parcels_2003_BACO File Geodatabase Feature Class Thumbnail Not Available Tags Social Order, Hierarchy, Territory, Social Institutions, Government, Parcels, BES, Cadastral Summary BES Research Description Baltimore County parcel data whose mapping zones fall within the Gwynns Falls watershed . Parcel edgematching issues between the original 3 parcel layers (as_area3_assess, ph3a2_assess, phase4_assess) and Baltimore City parcel data were resolved. As of 06/18/04 editing is still underway. Metadata for this dataset is incomplete. Credits UVM Spatial Analysis Lab Use limitations BES use only Extent West -76.908689 East -76.418666 North 39.590134 South 39.209697 Scale Range There is no scale range for this item.

  13. a

    Property Crime Rate per 1,000 Residents

    • hub.arcgis.com
    • data.baltimorecity.gov
    • +1more
    Updated Feb 18, 2020
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    Baltimore Neighborhood Indicators Alliance (2020). Property Crime Rate per 1,000 Residents [Dataset]. https://hub.arcgis.com/maps/3a3899fc2dcc400ea97e33c68ec0ff72
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    Dataset updated
    Feb 18, 2020
    Dataset authored and provided by
    Baltimore Neighborhood Indicators Alliance
    Area covered
    Description

    The property crime rate measures the number of Part 1 crimes identified as being property-based (burglary and auto theft) that are reported to the Police Department. These incidents are per 1,000 residents in the neighborhood to allow for comparison across areas. Source: Baltimore Police DepartmentYears Available: 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022

  14. a

    Percentage of Vacant Properties Owned by Baltimore City

    • vital-signs-bniajfi.hub.arcgis.com
    • data.baltimorecity.gov
    • +1more
    Updated Mar 24, 2020
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    Baltimore Neighborhood Indicators Alliance (2020). Percentage of Vacant Properties Owned by Baltimore City [Dataset]. https://vital-signs-bniajfi.hub.arcgis.com/maps/6a22d44bcef348a286c46d5853c03626
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    Dataset updated
    Mar 24, 2020
    Dataset authored and provided by
    Baltimore Neighborhood Indicators Alliance
    Area covered
    Description

    The percent of properties that are classified as being vacant and abandoned that are owned by Baltimore City. Baltimore City has come to own these properties through a variety of ways including (but not limited to) eminent domain, unpaid tax or water bills, and direct purchase. Source: Baltimore City Department of Housing and Community Development Years Available: 2011, 2012, 2013, 2017, 2018, 2019, 2020, 2021, 2022

  15. a

    Percentage of Residential Properties that are Vacant and Abandoned

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    • data.baltimorecity.gov
    • +1more
    Updated Mar 20, 2020
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    Baltimore Neighborhood Indicators Alliance (2020). Percentage of Residential Properties that are Vacant and Abandoned [Dataset]. https://hub.arcgis.com/maps/4a4a45b0d08b428180a2d7543916f527
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    Dataset updated
    Mar 20, 2020
    Dataset authored and provided by
    Baltimore Neighborhood Indicators Alliance
    Area covered
    Description

    The percentage of residential properties that have been classified as being vacant and abandoned by the Baltimore City Department of Housing out of all properties. Properties are classified as being vacant and abandoned if: the property is not habitable and appears boarded up or open to the elements; the property was designated as being vacant prior to the current year and still remains vacant; and the property is a multi-family structure where all units are considered to be vacant.Source: Baltimore City Department of Housing and Community Development Years Available: 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022

  16. b

    Percentage of Housing Units that are Owner-Occupied

    • data.baltimorecity.gov
    • vital-signs-bniajfi.hub.arcgis.com
    • +1more
    Updated Mar 23, 2020
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    Percentage of Housing Units that are Owner-Occupied [Dataset]. https://data.baltimorecity.gov/maps/d6b5b6f35347427188a4479de1d2f2cc
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    Dataset updated
    Mar 23, 2020
    Dataset authored and provided by
    Baltimore Neighborhood Indicators Alliance
    Area covered
    Description

    The percentage of homeowners that are the principal residents of a particular residential property out of all residential properties. It is important to note that a portion of these owner-occupied properties may be subdivided and have tenants that pay rent and are not included in the calculation. Source: MdProperty View Years Available: 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020

  17. GIS Shapefile - GIS Shapefile, Assessments and Taxation Database, MD...

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    • portal.edirepository.org
    Updated Feb 22, 2018
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    Cary Institute Of Ecosystem Studies; Jarlath O'Neil-Dunne; Morgan Grove (2018). GIS Shapefile - GIS Shapefile, Assessments and Taxation Database, MD Property View 2004, Anne Arundel County [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-bes%2F350%2F610
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    Dataset updated
    Feb 22, 2018
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Cary Institute Of Ecosystem Studies; Jarlath O'Neil-Dunne; Morgan Grove
    Time period covered
    Jan 1, 2004 - Jan 1, 2005
    Area covered
    Description

    AT_2004_ANNE File Geodatabase Feature Class Thumbnail Not Available Tags Socio-economic resources, Information, Social Institutions, Hierarchy, Territory, BES, Parcel, Property, Property View, A&T, Database, Assessors, Taxation Summary Serves as a basis for performing various analyses based on parcel data. Description Assessments & Taxation (A&T) Database from MD Property View 2004 for Anne Arundel County. The A&T Database contains parcel data from the State Department of Assessments and Taxation; it incorporates parcel ownership and address information, parcel valuation information and basic information about the land and structure(s) associated with a given parcel. These data form the basis for the 2004 Database, which also includes selected Computer Assisted Mass Appraisal (CAMA) characteristics, text descriptions to make parcel code field data more readily accessible and logical True/False fields which identify parcels with certain characteristics. Documentation for A&T, including a thorough definition for all attributes is enclosed. Complete Property View documentation can be found at http://www.mdp.state.md.us/data/index.htm under the "Technical Background" tab. It should be noted that the A&T Database consists of points and not parcel boundaries. For those areas where parcel polygon data exists the A&T Database can be joined using the ACCTID or a concatenation of the BLOCK and LOT fields, whichever is appropriate. (Spaces may have to be excluded when concatenating the BLOCK and LOT fields). A cursory review of the 2004 version of the A&T Database indicates that it has more accurate data when compared with the 2003 version, particularly with respect to dwelling types. However, for a given record it is not uncommon for numerous fields to be missing attributes. Based on previous version of the A&T Database it is also not unlikely that some of the information is inaccurate. This layer was edited to remove points that did not have a valid location because they failed to geocode. There were 897 such points. A listing of the deleted points is in the table with the suffix "DeletedRecords." Credits Maryland Department of Planning Use limitations BES use only. Extent West -76.838738 East -76.395283 North 39.238726 South 38.708588 Scale Range There is no scale range for this item.

  18. e

    GIS Shapefile - Analysis of potential stewardship in support of BES...

    • portal.edirepository.org
    • search.dataone.org
    zip
    Updated Dec 31, 2009
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    Jarlath O'Neal-Dunne; Morgan Grove (2009). GIS Shapefile - Analysis of potential stewardship in support of BES research, Baltimore City, block group [Dataset]. http://doi.org/10.6073/pasta/b5c01723bbaf8f285c61c8c71822e9b9
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    zip(442 kilobytes)Available download formats
    Dataset updated
    Dec 31, 2009
    Dataset provided by
    EDI
    Authors
    Jarlath O'Neal-Dunne; Morgan Grove
    Time period covered
    Jan 1, 1999 - Dec 31, 1999
    Area covered
    Description

    Potential stewardship for Residential parcels in Baltimore City summarized by block group. Residential parcels was defined as only those parcels with a land use code of residential (LU_CODE = "R") based on the 2003 Maryland Property View A&T database. PRIZM 5, 15, and 62 classes are also present. PRIZM is the Potential Rating Index by Zip code Markets produced by the Claritas Corporation - > http://www.clusterbigip1.claritas.com/claritas/Default.jsp>.

       Total Potential stewardship is that land within a parcels not occupied by buildings, that is land that could potentially support vegetation, regardless of whether or not any vegetation is present. Realized Potential Stewardship is land that is currently occupied by vegetation. Not Realized Potential Stewardship is the land not occupied by buildings or existing vegetation, and is thus the land that is potentially available for "greening" initiatives. Normalization for realized and not realized potential stewardship is carried out by dividing by the total potential stewardship. 
    
    
       The potential stewardship was calculated using parcel data, building footprints, and GDT census block groups. Building footprints were erased from the parcel area, resulting in a layer indicating the potential stewardship for each parcel. The potential stewardship layer was then unioned MD DNR's 2001 SUFA vegetation layer. All polygons corresponding to water features were deleted since water features cannot undergo "greening."  All polygons that did fall in the potential stewardship area were deleted. This resulted in a layer in which the polygons represented the potential stewardship land along with the potential stewardship land occupied by either grass or trees. This layer was then intersected with the census block group layer resulting in a layer that had the potential stewardship land, potential stewardship vegetation, and block group IDs. All attributes were then summarized at the block group level.
    
    
       A cursory analysis of the parcel data indicated that parcel data was outdated for the following block groups: 245102503031, 245102503032, and 245102503033. Certain block groups with very high Normalized Total Potential Stewardship values may be indicative of the fact that building footprint data was missing, although the extent of this problem is unknown.
    
    
       Note: transportation networks are not part of the parcel data, and thus were appropriately not part of this analysis.
    
  19. a

    Percentage of Properties with Rehabilitation Permits Exceeding 5,000

    • vital-signs-bniajfi.hub.arcgis.com
    • data.baltimorecity.gov
    • +1more
    Updated Mar 24, 2020
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    Baltimore Neighborhood Indicators Alliance (2020). Percentage of Properties with Rehabilitation Permits Exceeding 5,000 [Dataset]. https://vital-signs-bniajfi.hub.arcgis.com/maps/d939d0c66a744833ad2e176ad0aec6d7
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    Dataset updated
    Mar 24, 2020
    Dataset authored and provided by
    Baltimore Neighborhood Indicators Alliance
    Area covered
    Description

    The percent of residential properties that have applied for and received a permit to renovate the interior and/or exterior of a property where the cost of renovation will exceed $5,000. The threshold of $5,000 is used to differentiate a minor and more significant renovation project. Source: Baltimore Department of Housing and Community Development Years Available: 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022

  20. b

    Median Price of Homes Sold - City

    • data.baltimorecity.gov
    • vital-signs-bniajfi.hub.arcgis.com
    • +1more
    Updated Mar 24, 2020
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    Baltimore Neighborhood Indicators Alliance (2020). Median Price of Homes Sold - City [Dataset]. https://data.baltimorecity.gov/datasets/bniajfi::median-price-of-homes-sold-city
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    Dataset updated
    Mar 24, 2020
    Dataset authored and provided by
    Baltimore Neighborhood Indicators Alliance
    Area covered
    Description

    The median home sales price is the middle value of the prices for which homes are sold (both market and private transactions) within a calendar year. The median value is used as opposed to the average so that both extremely high and extremely low prices do not distort the prices for which homes are sold. This measure does not take into account the assessed value of a property. Source: First American Real Estate Solutions (FARES) and RBIntel Years Available: 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2022

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Cary Institute Of Ecosystem Studies; Jarlath O'Neal-Dunne; Morgan Grove (2019). GIS Shapefile - Property Variables for Baltimore City [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-bes%2F3148%2F610
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GIS Shapefile - Property Variables for Baltimore City

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Dataset updated
Apr 5, 2019
Dataset provided by
Long Term Ecological Research Networkhttp://www.lternet.edu/
Authors
Cary Institute Of Ecosystem Studies; Jarlath O'Neal-Dunne; Morgan Grove
Time period covered
Jan 1, 1999 - Dec 31, 1999
Area covered
Description

Property Variables for Baltimore City. The Property Variables dataset is a compilation of variables obtained from the MD Property View 2003 Database and derived from BES geospatial datasets. The points in this dataset were subsetted from the MD MD Property View 2003 A&T Database. The criteria used to select these points was: - Can be linked to parcel data using BLOCKLOT2 - LU = Residential (residential land use) - CONSIDR > 10,000 and < 1.5 million (purchase price greater than $10,000 and less than $1.5 million) - STRUDWEL = 01, 02 or 03 (single family home or townhome) - Sales Date after Jan 1 2001. - SQFTSTRUC > 100 (square footage of the structure greater than 100) - YEARBLT > 0 (valid year built). Please refer to the enclosed documentation for a complete data dictionary along with Austin Troy's original request document with comments by Jarlath O'Neil-Dunne.

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