59 datasets found
  1. D

    Parcels

    • detroitdata.org
    Updated Sep 12, 2024
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    City of Detroit (2024). Parcels [Dataset]. https://detroitdata.org/dataset/parcels
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    html, csv, zip, geojson, kml, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Sep 12, 2024
    Dataset provided by
    City of Detroit
    Description
    The Parcels data set from the City of Detroit Office of the Assessor is updated daily with land parcel data for all properties within the City of Detroit. Records in this data set describe the assessed values, rights, ownership interests, most recent sales data, physical descriptions, and addresses associated with each parcel. Parcels are distinguished from lots or plots of land in that property ownership rights are the fundamental units of division between parcels. The graphic depiction of land parcels represents real property ownership within the City for both privately and publicly owned properties.

    Data maintenance note: Databases used by the Office of the Assessor for parcels data are checked for updates daily. If an update is detected, the published Parcels dataset is then updated to reflect the most recent data available. Similarly, Zoning data provided by the Buildings, Safety Engineering, and Environmental Department (BSEED) Zoning Division is checked for updates daily. If any updates are available, values in the Zoning field are updated to reflect the most recent zoning data available. The "Data Updated" date for the Parcels dataset reflects the most recent date any data updates were detected and incorporated into the Parcels dataset.

    Click here for the Analytics Hub visualization of Parcels.
  2. d

    Detroit Residential Parcel Survey, 2009

    • catalog.data.gov
    • detroitdata.org
    • +5more
    Updated Feb 21, 2025
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    Data Driven Detroit (2025). Detroit Residential Parcel Survey, 2009 [Dataset]. https://catalog.data.gov/dataset/detroit-residential-parcel-survey-2009-436b5
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    Dataset updated
    Feb 21, 2025
    Dataset provided by
    Data Driven Detroit
    Area covered
    Detroit
    Description

    In 2009, Data Driven Detroit partnered with Living Cities, the Detroit Office of Foreclosure Prevention and Response and Community Legal Resources (Michigan Community Resources) to conduct a survey of 1-4 unit residential structures and vacant lots in the City of Detroit. Surveyors went out in the field in August and September of 2009, and following this, data were entered into a database and cleaned. The survey collected information on property type, condition, vacancy, danger to the surrounding community, fire damage, and improvements on vacant lots.For more information on the DRPS, including aggregations and maps of the original data, please visit www.detroitparcelsurvey.org.Upon request, field description metadata is also available for this dataset.

  3. D

    Parcel collector

    • detroitdata.org
    Updated Sep 7, 2018
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    Downtown Detroit Partnership (2018). Parcel collector [Dataset]. https://detroitdata.org/dataset/parcel-collector
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    html, kml, arcgis geoservices rest api, zip, geojson, xlsx, gdb, txt, gpkg, csvAvailable download formats
    Dataset updated
    Sep 7, 2018
    Dataset provided by
    Downtown Detroit Partnership
    Description

    This is a collection of layers created by Tian Xie(Intern in DDP) in August, 2018. This collection includes Detroit Parcel Data(Parcel_collector), InfoUSA business data(BIZ_INFOUSA), and building data(Building). The building and business data have been edited by Tian during field research and have attached images.

    The original source for these layers are:
    1. Business Data: InfoUSA business database purchased by DDP in 2017
    2. Building Data: Detroit Building Footprint data
    3. Parcel Data: from Detroit Open Data Portal, download in May 2018.
    For field research by Tian, some fields have been added and some records in building and business have been edited.
    1. For business data, Tian confirmed most of public assessable businesses and deleted those which do not exist. Also, Tian add new Business to the business data if it did not exist on the record.
    2. For building data, Tian recorded the total business space for each building, not-empty business space, occupancy status, parking adjacency status, and took picture for every building in downtown Detroit.
    Detail field META DATA:
    InfoUSA Business
    • OBJECTID_1
    • COMPANY_NA: company name
    • ADDRESS: company address
    • CITY: city
    • STATE: state
    • ZIP_CODE: zip code
    • MAILING_CA: source InfoUSA
    • MAILING_DE source InfoUSA
    • LOCATION_A source InfoUSA: address
    • LOCATION_1 source InfoUSA: city
    • LOCATION_2 source InfoUSA: state
    • LOCATION_3 source InfoUSA: zip code
    • LOCATION_4source InfoUSA
    • LOCATION_5 source InfoUSA
    • COUNTY: county
    • PHONE_NUMB: phone number
    • WEB_ADDRES: website address
    • LAST_NAME: contact last name
    • FIRST_NAME: contact first name
    • CONTACT_TI: contact type
    • CONTACT_PR:
    • CONTACT_GE: contact gender
    • ACTUAL_EMP: employee number
    • EMPLOYEE_S: employee number class
    • ACTUAL_SAL: actual sale
    • SALES_VOLU: sales value
    • PRIMARY_SI: primary sales value
    • PRIMARY_1: primary classification
    • SECONDARY_: secondary classification
    • SECONDARY1
    • SECONDAR_1
    • SECONDAR_2
    • CREDIT_ALP: credit level
    • CREDIT_NUM: credit number
    • HEADQUARTE: headquarte
    • YEAR_1ST_A: year open
    • OFFICE_SIZ: office size
    • SQUARE_FOO: square foot
    • FIRM_INDIV:
    • PUBLIC_PRI
    • Fleet_size
    • FRANCHISE_
    • FRANCHISE1
    • INDUSTRY_S
    • ADSIZE_IN_
    • METRO_AREA
    • INFOUSA_ID
    • LATITUDE: y
    • LONGITUDE: x
    • PARKING: parking adjacency
    • NAICS_CODE: NAICS CODE
    • NAICS_DESC: NAICS DESCRIPTION
    • parcelnum*: PARCEL NUMBER
    • parcelobji* PARCEL OBJECT ID
    • CHECK_*
    • ACCESSIABLE* PUBLIC ACCESSIBILITY
    • PROPMANAGER* PROPERTY MANAGER
    • GlobalID
    Notes: field with * means it came from other source or field research done by Tian Xie in Aug, 2018
    Building
    • OBJECTID_12
    • BUILDING_I: building id
    • PARCEL_ID : parcel id
    • BUILD_TYPE: building type
    • CITY_ID:city id
    • APN: parcel number
    • RES_SQFT: Res square feet
    • NONRES_SQF non-res square feet
    • YEAR_BUILT: year built
    • YEAR_DEMO
    • HOUSING_UN: housing units
    • STORIES: # of stories
    • MEDIAN_HGT: median height
    • CONDITION: building condition
    • HAS_CONDOS: has condos or not
    • FLAG_SQFT: flag square feet
    • FLAG_YEAR_: flag year
    • FLAG_CONDI: flag condition
    • LOADD1: address number
    • HIADD1 (type: esriFieldTypeInteger, alias: HIADD1, SQL Type: sqlTypeOther, nullable: true, editable: true)
    • STREET1: street name
    • LOADD2:
    • HIADD2 (type: esriFieldTypeString, alias: HIADD2, SQL Type: sqlTypeOther, length: 80, nullable: true, editable: true)
    • STREET2 (type: esriFieldTypeString, alias: STREET2, SQL Type: sqlTypeOther, length: 80, nullable: true, editable: true)
    • ZIPCODE: zip code
    • AKA: building name
    • USE_LOCATO
    • TEMP (type: esriFieldTypeString, alias: TEMP, SQL Type: sqlTypeOther, length: 80, nullable: true, editable: true)
    • SPID (type: esriFieldTypeInteger, alias: SPID, SQL Type: sqlTypeOther, nullable: true, editable: true)
    • Zone (type: esriFieldTypeString, alias: Zone, SQL Type: sqlTypeOther, length: 60, nullable: true, editable: true)
    • F7_2SqMile (type: esriFieldTypeString, alias: F7_2SqMile, SQL Type: sqlTypeOther, length: 10, nullable: true, editable: true)
    • Shape_Leng (type: esriFieldTypeDouble, alias: Shape_Leng, SQL Type: sqlTypeOther, nullable: true, editable: true)
    • PARKING*: parking adjacency
    • OCCUPANCY*: occupied or not
    • BuildingType* : building type
    • TotalBusinessSpace*: available business space in this building
    • NonEmptySpace*: non-empty business space in this building
    • CHECK_*
    • FOLLOWUP*: need followup or not
    • GlobalID*
    • PropmMana*: property manager
    Notes: field with * means it came from other source or field research done by Tian Xie in Aug, 2018

  4. D

    Right of Way Street and Alley Vacations

    • detroitdata.org
    Updated Jan 27, 2025
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    City of Detroit (2025). Right of Way Street and Alley Vacations [Dataset]. https://detroitdata.org/dataset/right-of-way-street-and-alley-vacations
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    geojson, kml, html, xlsx, arcgis geoservices rest api, zip, csv, txt, gdb, gpkgAvailable download formats
    Dataset updated
    Jan 27, 2025
    Dataset provided by
    City of Detroit
    Description

    This data is intended as a reference material of street and alley vacations, but not designed for survey, accurate positioning, or legal documents. It is created as polygon feature class, vacation information based on field measurements, types of Right of Way, and citations of Journal of the Common Council (J.C.C.) and the plat Liber and Page is listed under the column titled 'Sub_Plat'. The paper maps of the Street and Alley Vacation, the raster layer version of those maps (Linen Map Markup Mosaic), and the Detroit parcel layer are used as base maps to create this data.

    The street and alley vacations were recorded from 1831 to 2022 throughout the whole city, and it will be updated weekly. The existed and/or active street and alley vacations are ready to view, the authors are working on pending and historical records.

    Red Features - Have been "Outright" vacated, meaning the right of way has become private property with no restrictions.
    Blue Features - Have been vacated with reserve of a utility easement, meaning the right of way has become private property with access rights for utility companies.

    Spatial Reference: WGS 1984 Web Mercator Auxiliary Sphere

    *Note: Special values within the 'Jurisdiction' field:
    • "2" means that the feature was approved under Jurisdiction of Wayne County, the State of Michigan, or a Township that was annexed by the City of Detroit, No City record on file.
    • "1" means that the feature was approved under City of Detroit jurisdiction.
    • "0" means the feature was approved per circuit court decision. No City record on file.
    For more information please visit the Maps and Records website.

  5. d

    Parcels (Current)

    • data.detroitmi.gov
    Updated Sep 24, 2024
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    City of Detroit (2024). Parcels (Current) [Dataset]. https://data.detroitmi.gov/datasets/3c784c118e5c4083b37038e9b38573df
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    Dataset updated
    Sep 24, 2024
    Dataset authored and provided by
    City of Detroit
    Area covered
    Description

    Land parcel data for all properties in the City of Detroit from the Office of the Assessor. These are the parcel boundaries for the 2024 tax year.The Parcels data set from the City of Detroit Office of the Assessor is updated daily with land parcel data for all properties within the City of Detroit. Records in this data set describe the assessed values, rights, ownership interests, most recent sales data, physical descriptions, and addresses associated with each parcel. Parcels are distinguished from lots or plots of land in that property ownership rights are the fundamental units of division between parcels. The graphic depiction of land parcels represents real property ownership within the City for both privately and publicly owned properties.Data maintenance note: Databases used by the Office of the Assessor for parcels data are checked for updates daily. If an update is detected, the published Parcels dataset is then updated to reflect the most recent data available. Similarly, Zoning data provided by the Buildings, Safety Engineering, and Environmental Department (BSEED) Zoning Division is checked for updates daily. If any updates are available, values in the Zoning field are updated to reflect the most recent zoning data available. The "Data Updated" date for the Parcels dataset reflects the most recent date any data updates were detected and incorporated into the Parcels dataset. The GIS / Land Records Maintenance Division in the Office of the Assessor manages the data integrity of the parcel file.

  6. d

    Detroit Zoning

    • catalog.data.gov
    • portal.datadrivendetroit.org
    • +6more
    Updated Sep 21, 2024
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    Data Driven Detroit (2024). Detroit Zoning [Dataset]. https://catalog.data.gov/dataset/detroit-zoning-55411
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    Dataset updated
    Sep 21, 2024
    Dataset provided by
    Data Driven Detroit
    Area covered
    Detroit
    Description

    Location of different zoning codes in the city of Detroit, Michigan. Parcels sharing the same zoning code have been dissolved together, but remain separated by street boundaries. A comprehensive list of zoning code descriptions is contained in the attribute table. Data are from 2010 and may not reflect changes in the zoning code of parcels.Click here for metadata.

  7. d

    Detroit Future City 50 Year Land Use Zones

    • catalog.data.gov
    • portal.datadrivendetroit.org
    • +4more
    Updated Feb 21, 2025
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    Data Driven Detroit (2025). Detroit Future City 50 Year Land Use Zones [Dataset]. https://catalog.data.gov/dataset/detroit-future-city-50-year-land-use-zones-4c37b
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    Dataset updated
    Feb 21, 2025
    Dataset provided by
    Data Driven Detroit
    Area covered
    Detroit
    Description

    The Detroit Future City Strategic Framework is a land use planning document that was released in 2012. It outlines recommendations for transforming Detroit's land use policies and codes over the next fifty years, and covers a broad range of issues from economic and workforce development to transportation and green infrastructure. The shapes in this file represent the 50-year recommended land use for the City of Detroit, based on this plan. The geographies are based off of dissolved parcels from the City of Detroit Planning and Development Department. Field description metadata is available for download. For detailed descriptions of the land use categories, and to learn more about the Detroit Future City initiative, please visit http://detroitfuturecity.com/framework/.

  8. D

    Parcel Viewer

    • detroitdata.org
    • catalog.data.gov
    Updated Sep 24, 2019
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    City of Detroit (2019). Parcel Viewer [Dataset]. https://detroitdata.org/dataset/parcel-viewer
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    html, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Sep 24, 2019
    Dataset provided by
    City of Detroit
    Description

    {{description}}

  9. d

    DLBA Vacant Land Program Sales

    • data.detroitmi.gov
    • detroitdata.org
    • +3more
    Updated Dec 24, 2024
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    City of Detroit (2024). DLBA Vacant Land Program Sales [Dataset]. https://data.detroitmi.gov/datasets/dlba-vacant-land-program-sales
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    Dataset updated
    Dec 24, 2024
    Dataset authored and provided by
    City of Detroit
    Area covered
    Description

    Open in: [Superset)] [ArcGIS] or [Request format]Detroit Land Bank Authority (DLBA) Land Reuse Programs are designed to activate vacant land and provide low cost land ownership opportunities for residents. Programs offered by the DLBA include the Side Lots program, through which residents may purchase lots immediately adjacent to their home as well as programs for Neighborhood Lots, Oversized Lots, and Accessory Structure Lots. This dataset provides information on properties that have been sold by the DLBA through the Land Reuse Programs.Each row in the dataset represents a DLBA-acquired property that has been sold through a land reuse program and includes data about the closing date, sale price, parcel number, and location. Location information includes the property's street address, neighborhood, council district, and the geographical coordinates associated with the street address. The geographical coordinates are used to map the location of lots using point geometry.More information about the Auction Sales program is available through the DLBA Land Reuse Programs and Frequently Asked Questions (FAQ) pages.Click here for the Analytics Hub visualization of this dataset.

  10. f

    MapServer

    • data.ferndalemi.gov
    Updated Apr 26, 2014
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    Data Driven Detroit (2014). MapServer [Dataset]. https://data.ferndalemi.gov/maps/224e1ef21a024d4dbf4e1a08b3d071a7
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    Dataset updated
    Apr 26, 2014
    Dataset authored and provided by
    Data Driven Detroit
    Area covered
    Description

    Data Driven Detroit recieved a copy of the City of Detroit GIS parcel file in May of 2012. Data Driven Detroit was able to find records in the data that did not have corresponding polygons drawn. These missing parcel objects were then geocoded by address to determine an approximate position and give the shape of a smal square as a placeholder. These missing parcels are corrected by the city in subsequent releases of the parcel file.

  11. D

    Building

    • detroitdata.org
    • data.ferndalemi.gov
    • +2more
    Updated Sep 7, 2018
    + more versions
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    Downtown Detroit Partnership (2018). Building [Dataset]. https://detroitdata.org/dataset/building
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    gpkg, csv, txt, arcgis geoservices rest api, kml, geojson, zip, html, gdb, xlsxAvailable download formats
    Dataset updated
    Sep 7, 2018
    Dataset provided by
    Downtown Detroit Partnership
    Description

    This is a collection of layers created by Tian Xie(Intern in DDP) in August, 2018. This collection includes Detroit Parcel Data(Parcel_collector), InfoUSA business data(BIZ_INFOUSA), and building data(Building). The building and business data have been edited by Tian during field research and have attached images.

    The original source for these layers are:
    1. Business Data: InfoUSA business database purchased by DDP in 2017
    2. Building Data: Detroit Building Footprint data
    3. Parcel Data: from Detroit Open Data Portal, download in May 2018.
    For field research by Tian, some fields have been added and some records in building and business have been edited.
    1. For business data, Tian confirmed most of public assessable businesses and deleted those which do not exist. Also, Tian add new Business to the business data if it did not exist on the record.
    2. For building data, Tian recorded the total business space for each building, not-empty business space, occupancy status, parking adjacency status, and took picture for every building in downtown Detroit.
    Detail field META DATA:
    InfoUSA Business
    • OBJECTID_1
    • COMPANY_NA: company name
    • ADDRESS: company address
    • CITY: city
    • STATE: state
    • ZIP_CODE: zip code
    • MAILING_CA: source InfoUSA
    • MAILING_DE source InfoUSA
    • LOCATION_A source InfoUSA: address
    • LOCATION_1 source InfoUSA: city
    • LOCATION_2 source InfoUSA: state
    • LOCATION_3 source InfoUSA: zip code
    • LOCATION_4source InfoUSA
    • LOCATION_5 source InfoUSA
    • COUNTY: county
    • PHONE_NUMB: phone number
    • WEB_ADDRES: website address
    • LAST_NAME: contact last name
    • FIRST_NAME: contact first name
    • CONTACT_TI: contact type
    • CONTACT_PR:
    • CONTACT_GE: contact gender
    • ACTUAL_EMP: employee number
    • EMPLOYEE_S: employee number class
    • ACTUAL_SAL: actual sale
    • SALES_VOLU: sales value
    • PRIMARY_SI: primary sales value
    • PRIMARY_1: primary classification
    • SECONDARY_: secondary classification
    • SECONDARY1
    • SECONDAR_1
    • SECONDAR_2
    • CREDIT_ALP: credit level
    • CREDIT_NUM: credit number
    • HEADQUARTE: headquarte
    • YEAR_1ST_A: year open
    • OFFICE_SIZ: office size
    • SQUARE_FOO: square foot
    • FIRM_INDIV:
    • PUBLIC_PRI
    • Fleet_size
    • FRANCHISE_
    • FRANCHISE1
    • INDUSTRY_S
    • ADSIZE_IN_
    • METRO_AREA
    • INFOUSA_ID
    • LATITUDE: y
    • LONGITUDE: x
    • PARKING: parking adjacency
    • NAICS_CODE: NAICS CODE
    • NAICS_DESC: NAICS DESCRIPTION
    • parcelnum*: PARCEL NUMBER
    • parcelobji* PARCEL OBJECT ID
    • CHECK_*
    • ACCESSIABLE* PUBLIC ACCESSIBILITY
    • PROPMANAGER* PROPERTY MANAGER
    • GlobalID
    Notes: field with * means it came from other source or field research done by Tian Xie in Aug, 2018
    Building
    • OBJECTID_12
    • BUILDING_I: building id
    • PARCEL_ID : parcel id
    • BUILD_TYPE: building type
    • CITY_ID:city id
    • APN: parcel number
    • RES_SQFT: Res square feet
    • NONRES_SQF non-res square feet
    • YEAR_BUILT: year built
    • YEAR_DEMO
    • HOUSING_UN: housing units
    • STORIES: # of stories
    • MEDIAN_HGT: median height
    • CONDITION: building condition
    • HAS_CONDOS: has condos or not
    • FLAG_SQFT: flag square feet
    • FLAG_YEAR_: flag year
    • FLAG_CONDI: flag condition
    • LOADD1: address number
    • HIADD1 (type: esriFieldTypeInteger, alias: HIADD1, SQL Type: sqlTypeOther, nullable: true, editable: true)
    • STREET1: street name
    • LOADD2:
    • HIADD2 (type: esriFieldTypeString, alias: HIADD2, SQL Type: sqlTypeOther, length: 80, nullable: true, editable: true)
    • STREET2 (type: esriFieldTypeString, alias: STREET2, SQL Type: sqlTypeOther, length: 80, nullable: true, editable: true)
    • ZIPCODE: zip code
    • AKA: building name
    • USE_LOCATO
    • TEMP (type: esriFieldTypeString, alias: TEMP, SQL Type: sqlTypeOther, length: 80, nullable: true, editable: true)
    • SPID (type: esriFieldTypeInteger, alias: SPID, SQL Type: sqlTypeOther, nullable: true, editable: true)
    • Zone (type: esriFieldTypeString, alias: Zone, SQL Type: sqlTypeOther, length: 60, nullable: true, editable: true)
    • F7_2SqMile (type: esriFieldTypeString, alias: F7_2SqMile, SQL Type: sqlTypeOther, length: 10, nullable: true, editable: true)
    • Shape_Leng (type: esriFieldTypeDouble, alias: Shape_Leng, SQL Type: sqlTypeOther, nullable: true, editable: true)
    • PARKING*: parking adjacency
    • OCCUPANCY*: occupied or not
    • BuildingType* : building type
    • TotalBusinessSpace*: available business space in this building
    • NonEmptySpace*: non-empty business space in this building
    • CHECK_*
    • FOLLOWUP*: need followup or not
    • GlobalID*
    • PropmMana*: property manager
    Notes: field with * means it came from other source or field research done by Tian Xie in Aug, 2018

  12. d

    Right of Way Street and Alley Openings

    • data.detroitmi.gov
    • detroitdata.org
    • +2more
    Updated Mar 26, 2025
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    City of Detroit (2025). Right of Way Street and Alley Openings [Dataset]. https://data.detroitmi.gov/datasets/6ed9c3493773481680c84033f1d9db0d
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    Dataset updated
    Mar 26, 2025
    Dataset authored and provided by
    City of Detroit
    Area covered
    Description

    Open in: [Superset)] [ArcGIS] or [Request format]This dataset displays the City of Detroit’s public rights-of-way that have been dedicated to the City of Detroit. This includes the widening and expansions of streets, alleys, sidewalks, and berms. This layer also includes Joe Louis Greenways that have been processed as dedications. All proposed dedications must follow City Engineering’s standards.This data is intended as a reference material of street and alley openings, but not designed for survey, accurate positioning, or legal documents. It is created as polygon feature class, dedicated information based on field measurements, types of Right of Way, and citations of Journal of the Common Council (J.C.C.) and legal description are included. The paper maps of the Street and Alley Openings, the raster layer version of those maps (Linen Map Markup Mosaic), and the Detroit parcel layer are used as base maps to create this data. The street and alley openings were recorded from 1831 till now throughout the whole city, and it will be updated on a monthly basis.For more information please visit the Maps and Records website.

  13. F

    Increase in Number of Lots for Detroit, MI

    • fred.stlouisfed.org
    json
    Updated Aug 16, 2012
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    (2012). Increase in Number of Lots for Detroit, MI [Dataset]. https://fred.stlouisfed.org/series/A02068US19820A483NNBR
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    jsonAvailable download formats
    Dataset updated
    Aug 16, 2012
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    Detroit, Michigan
    Description

    Graph and download economic data for Increase in Number of Lots for Detroit, MI (A02068US19820A483NNBR) from 1830 to 1926 about Detroit, MI, buildings, and USA.

  14. d

    Land Survey Parcels 2017

    • catalog.data.gov
    • detroitdata.org
    • +5more
    Updated Sep 21, 2024
    + more versions
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    Data Driven Detroit (2024). Land Survey Parcels 2017 [Dataset]. https://catalog.data.gov/dataset/land-survey-parcels-2017-7c622
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    Dataset updated
    Sep 21, 2024
    Dataset provided by
    Data Driven Detroit
    Description

    This dataset contains parcel level information on property and land use for parcels within the Arena District, including structure and/or lot condition and use. This dataset was created by University of Michigan students during a land survey in April 2017. Data was obtained for the Building and Conditions section of Little Caesar's Arena District Needs Assessment.Click here for metadata (descriptions of the fields).

  15. d

    Property Sales

    • data.detroitmi.gov
    • detroitdata.org
    • +2more
    Updated May 30, 2025
    + more versions
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    City of Detroit (2025). Property Sales [Dataset]. https://data.detroitmi.gov/datasets/property-sales
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    Dataset updated
    May 30, 2025
    Dataset authored and provided by
    City of Detroit
    Area covered
    Description

    The Office of the Assessor compiles property sales data to perform an annual property sales study to adjust calculated costs of property values based on local market conditions. This dataset includes property sales data obtained for annual sales studies from 2018 to the present. While only Valid Arm's Length transactions that occurred in the two years prior to when a given sales study is finalized are included in each study, this dataset includes all sales transactions obtained to perform the sales studies, whether or not the sales transactions met inclusion criteria for a study. More information about the Sales Study is available from the Office of the Assessor.Values in categorical fields such as 'Sales Instrument' are recorded based on State of Michigan CAMA standards at the time the value was recorded. Some variation in field value codes occurs over time as a related CAMA standard is updated. CAMA standards are available from the State of Michigan Department of Treasury State Tax Commission.Click here for the Analytics Hub visualization of Property Sales.

  16. o

    Pine Street Cross Street Data in Detroit, MI

    • ownerly.com
    Updated May 25, 2022
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    Ownerly (2022). Pine Street Cross Street Data in Detroit, MI [Dataset]. https://www.ownerly.com/mi/detroit/pine-st-home-details
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    Dataset updated
    May 25, 2022
    Dataset authored and provided by
    Ownerly
    Area covered
    Detroit, Michigan
    Description

    This dataset provides information about the number of properties, residents, and average property values for Pine Street cross streets in Detroit, MI.

  17. d

    DLBA Owned Properties

    • data.detroitmi.gov
    • detroitdata.org
    • +3more
    Updated Oct 2, 2020
    + more versions
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    City of Detroit (2020). DLBA Owned Properties [Dataset]. https://data.detroitmi.gov/datasets/dlba-owned-properties-1
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    Dataset updated
    Oct 2, 2020
    Dataset authored and provided by
    City of Detroit
    Area covered
    Description

    The Detroit Land Bank Authority (DLBA) was established in 2008 and is currently the largest property owner in Detroit. The properties of the land bank consists of vacant lots, abandoned houses, and other structures that were often forced into tax foreclosure. Its mission is to return the city's blighted and vacant properties to productive use. They utilize a variety of sales programs to make homeownership and land purchases accessible to Detroiters. Some of the larger programs include DLBA Owned Lots and Neighborhood Lots for Sale. The Detroit Land Bank Authority works directly with individual buyers, as well as Community Partner organizations and developers for projects big and small.Each row in this dataset lists a property that is currently owned by the Detroit Land Bank Authority within the city of Detroit. This includes fields such as Address, Parcel Number, DLBA Inventory Status, Neighborhood, and Council District.Click here for the Analytics Hub visualization of DLBA Owned Properties.For more information, please visit the DLBA website: https://buildingdetroit.org/.

  18. f

    Right of Way Street and Alley Vacations

    • data.ferndalemi.gov
    • detroitdata.org
    Updated Mar 26, 2025
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    City of Detroit (2025). Right of Way Street and Alley Vacations [Dataset]. https://data.ferndalemi.gov/items/0927741f1d554429989abe869d21e268
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    Dataset updated
    Mar 26, 2025
    Dataset authored and provided by
    City of Detroit
    Area covered
    Description

    The layer displays the roads and rights-of-way (sidewalks, berms, and dedicated public city land) that were either outright vacated or vacated with an easement. It is created as polygon feature class, vacation information based on field measurements, types of Right of Way, and citations of Journal of the Common Council (J.C.C.) and the plat Liber and Page is listed under the column titled "Sub_Plat". The paper maps of the Street and Alley Vacation, the raster layer version of those maps (Linen Map Markup Mosaic), and the Detroit parcel layer are used as base maps to create this data. The street and alley vacations are from 1831 to 2025 throughout the whole city, and it will be updated on monthly basis.For more information please visit the Maps and Records website.

  19. d

    Downtown Detroit Parking Lots & Decks, 2012

    • catalog.data.gov
    • data.ferndalemi.gov
    • +4more
    Updated Sep 21, 2024
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    Data Driven Detroit (2024). Downtown Detroit Parking Lots & Decks, 2012 [Dataset]. https://catalog.data.gov/dataset/downtown-detroit-parking-lots-decks-2012-98e1a
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    Dataset updated
    Sep 21, 2024
    Dataset provided by
    Data Driven Detroit
    Area covered
    Downtown Detroit, Detroit
    Description

    Parking lots and decks in the Detroit Downtown area, August 2012.Metadata available here.

  20. o

    Stahelin Avenue Cross Street Data in Detroit, MI

    • ownerly.com
    Updated Jan 16, 2022
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    Ownerly (2022). Stahelin Avenue Cross Street Data in Detroit, MI [Dataset]. https://www.ownerly.com/mi/detroit/stahelin-ave-home-details
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    Dataset updated
    Jan 16, 2022
    Dataset authored and provided by
    Ownerly
    Area covered
    Detroit, Michigan
    Description

    This dataset provides information about the number of properties, residents, and average property values for Stahelin Avenue cross streets in Detroit, MI.

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City of Detroit (2024). Parcels [Dataset]. https://detroitdata.org/dataset/parcels

Parcels

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html, csv, zip, geojson, kml, arcgis geoservices rest apiAvailable download formats
Dataset updated
Sep 12, 2024
Dataset provided by
City of Detroit
Description
The Parcels data set from the City of Detroit Office of the Assessor is updated daily with land parcel data for all properties within the City of Detroit. Records in this data set describe the assessed values, rights, ownership interests, most recent sales data, physical descriptions, and addresses associated with each parcel. Parcels are distinguished from lots or plots of land in that property ownership rights are the fundamental units of division between parcels. The graphic depiction of land parcels represents real property ownership within the City for both privately and publicly owned properties.

Data maintenance note: Databases used by the Office of the Assessor for parcels data are checked for updates daily. If an update is detected, the published Parcels dataset is then updated to reflect the most recent data available. Similarly, Zoning data provided by the Buildings, Safety Engineering, and Environmental Department (BSEED) Zoning Division is checked for updates daily. If any updates are available, values in the Zoning field are updated to reflect the most recent zoning data available. The "Data Updated" date for the Parcels dataset reflects the most recent date any data updates were detected and incorporated into the Parcels dataset.

Click here for the Analytics Hub visualization of Parcels.
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