22 datasets found
  1. d

    Parcel Viewer

    • detroitdata.org
    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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    Dataset updated
    Sep 24, 2019
    Dataset provided by
    City of Detroit
    Description

    {{description}}

  2. K

    Detroit Parcels

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated May 30, 2023
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    City of Detroit, Michigan (2023). Detroit Parcels [Dataset]. https://koordinates.com/layer/113626-detroit-parcels/
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    shapefile, mapinfo tab, kml, geodatabase, csv, mapinfo mif, dwg, pdf, geopackage / sqliteAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset authored and provided by
    City of Detroit, Michigan
    Description

    Detroit Parcels Shapefile

  3. a

    Detroit Demographic Analysis

    • hub.arcgis.com
    • africageoportal.com
    Updated Feb 12, 2021
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    Africa GeoPortal (2021). Detroit Demographic Analysis [Dataset]. https://hub.arcgis.com/maps/11dd67fa606a4c8cb2fb9777d392be4e
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    Dataset updated
    Feb 12, 2021
    Dataset authored and provided by
    Africa GeoPortal
    Area covered
    Description

    This map shows demographic and income data in Detroit. Assuming an assignment where the poverty fighting charity I work for would like to alleviate suffering among impoverished children in Detroit. Detroit is a Michigan city that always ranks among America's poorest urban centers. Orange circles have below average median household income, the darker shades indicate households with a very low income-close to poverty level. The size of the circles: larger circles indicate a greater number of children in the area.What stands out is the obvioud pattern of low-income households in the city center combined with areas of high child population. This pattern helps answer where in Detroit our charity will focus its resources to help children living in poverty-in places shown on the map where there is a cluster of several large dark Orange circles like Dearborn and Pontiac (for example). The charity may and will offer free after school care and/Or but not limited to breakfast programs.

  4. d

    Parks and Landmarks, Detroit

    • catalog.data.gov
    • data.ferndalemi.gov
    • +3more
    Updated Feb 21, 2025
    + more versions
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    Data Driven Detroit (2025). Parks and Landmarks, Detroit [Dataset]. https://catalog.data.gov/dataset/parks-and-landmarks-detroit-d26a1
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    Dataset updated
    Feb 21, 2025
    Dataset provided by
    Data Driven Detroit
    Area covered
    Detroit
    Description

    Municipal Parks and Landmark features for the City of Detroit. Includes golf courses, City Airport and civic plazas. Does not include all school parks, unless they are maintained by Detroit Parks and Rec. This layer was developed by Data Driven Detroit by adding to a GIS file that was provided by the City in 2010. Some parks in the file may have been "abandoned" and are not maintained any longer.

  5. d

    Detroit City Council Districts 2026

    • data.detroitmi.gov
    • data.ferndalemi.gov
    • +1more
    Updated Feb 11, 2025
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    City of Detroit (2025). Detroit City Council Districts 2026 [Dataset]. https://data.detroitmi.gov/datasets/detroitmi::detroit-city-council-districts-2026
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    Dataset updated
    Feb 11, 2025
    Dataset authored and provided by
    City of Detroit
    Area covered
    Description

    Note: This council district layer goes into effect on January 1, 2026. The council district layer in effect until December 31st, 2025 can be found here.This Council Districts map is for illustrative purposes only and the City of Detroit makes no representations as to its accuracy. For the official geographic boundaries, please refer to the geographical boundaries formally approved by the Detroit City Council on February 6, 2024. For convenience, a link to the formally approved boundaries may be found here. The reapportioned City Council District boundaries take effect on January 1, 2026.Following each census, Detroit City Council is required by the 2012 Detroit City Charter to redraw the boundaries of the City's seven non at-large districts to be "as nearly of equal population as practicable, contiguous, compact and in accordance with any other criteria permitted by law" [Sec. 3-108].City Council selected the boundaries illustrated here by an 8-1 vote on February 6, 2024. These boundaries will be used to determine resident districts when voting in 2025 municipal elections, and will officially take effect January 1, 2026.

  6. d

    BusinessBuildingParcelLayers

    • detroitdata.org
    • hub.arcgis.com
    Updated Sep 21, 2018
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    Downtown Detroit Partnership (2018). BusinessBuildingParcelLayers [Dataset]. https://detroitdata.org/dataset/businessbuildingparcellayers
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    arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Sep 21, 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

  7. F

    Market Hotness: Page View Count per Property in Oakland County, MI

    • fred.stlouisfed.org
    json
    Updated Mar 11, 2025
    + more versions
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    (2025). Market Hotness: Page View Count per Property in Oakland County, MI [Dataset]. https://fred.stlouisfed.org/series/LDPEPRYYCOUNTY26125
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    jsonAvailable download formats
    Dataset updated
    Mar 11, 2025
    License

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

    Area covered
    Oakland County, Michigan
    Description

    Graph and download economic data for Market Hotness: Page View Count per Property in Oakland County, MI (LDPEPRYYCOUNTY26125) from Aug 2018 to Feb 2025 about Oakland County, MI; Detroit; MI; listing; and USA.

  8. d

    Detroit Tax Foreclosures 2002-2019

    • portal.datadrivendetroit.org
    • data.ferndalemi.gov
    Updated May 3, 2021
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    Data Driven Detroit (2021). Detroit Tax Foreclosures 2002-2019 [Dataset]. https://portal.datadrivendetroit.org/datasets/33420a419a224e66b6a608cb08f15c1a
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    Dataset updated
    May 3, 2021
    Dataset authored and provided by
    Data Driven Detroit
    Area covered
    Detroit
    Description

    Click here for metadata (descriptions of the fields).

  9. d

    Likely Public Ownership, 2013-14

    • portal.datadrivendetroit.org
    • data.ferndalemi.gov
    • +3more
    Updated Dec 3, 2014
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    Data Driven Detroit (2014). Likely Public Ownership, 2013-14 [Dataset]. https://portal.datadrivendetroit.org/maps/D3::likely-public-ownership-2013-14
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    Dataset updated
    Dec 3, 2014
    Dataset authored and provided by
    Data Driven Detroit
    Area covered
    Description

    This file identifies likely public ownership based on several categorizations. These include the City of Detroit, the Detroit Land Bank Authority, the Michigan Land Bank Fast Track Authority, the State of Michigan, Wayne County, the United States Government, the Detroit Water and Sewerage Department, and Detroit Public Schools. The ownership information generally dates from 2013 to early 2014; see the field description metadata for further information.DISCLAIMER: This file seeks to identify parcels that are owned by a governmental or other public entity. However, ownership of properties changes frequently, particularly between public entities, and the data sources that this file is built from date from 2013 through the spring of 2014. Since there has been considerable time for the ownership of some of these properties to change, D3 is producing this file as an indicator of Likely Public Ownership.This file is intended to help highlight the breadth and scale of public ownership in the City of Detroit, and any decisions based off of this file should be confirmed through investigating legal ownership records.Metadata associated with this file includes field description metadata and a narrative summary detailing the creation of the dataset.For more information on the Motor City Mapping project, please visit www.motorcitymapping.org.

  10. a

    Building

    • hub.arcgis.com
    • detroitdata.org
    • +1more
    Updated Aug 2, 2018
    + more versions
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    Downtown Detroit Partnership (2018). Building [Dataset]. https://hub.arcgis.com/maps/downtowndetroit::building
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    Dataset updated
    Aug 2, 2018
    Dataset authored and provided by
    Downtown Detroit Partnership
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    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: Business Data: InfoUSA business database purchased by DDP in 2017Building Data: Detroit Building Footprint data 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. 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. 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 nameADDRESS: company addressCITY: citySTATE: stateZIP_CODE: zip codeMAILING_CA: source InfoUSAMAILING_DE source InfoUSALOCATION_A source InfoUSA: addressLOCATION_1 source InfoUSA: cityLOCATION_2 source InfoUSA: stateLOCATION_3 source InfoUSA: zip codeLOCATION_4source InfoUSALOCATION_5 source InfoUSACOUNTY: countyPHONE_NUMB: phone numberWEB_ADDRES: website addressLAST_NAME: contact last nameFIRST_NAME: contact first nameCONTACT_TI: contact type CONTACT_PR: CONTACT_GE: contact genderACTUAL_EMP: employee numberEMPLOYEE_S: employee number classACTUAL_SAL: actual sale SALES_VOLU: sales value PRIMARY_SI: primary sales valuePRIMARY_1: primary classificationSECONDARY_: secondary classification SECONDARY1SECONDAR_1SECONDAR_2CREDIT_ALP: credit level CREDIT_NUM: credit numberHEADQUARTE: headquarteYEAR_1ST_A: year openOFFICE_SIZ: office sizeSQUARE_FOO: square footFIRM_INDIV:PUBLIC_PRI Fleet_size FRANCHISE_ FRANCHISE1 INDUSTRY_SADSIZE_IN_METRO_AREA INFOUSA_ID LATITUDE: yLONGITUDE: xPARKING: parking adjacency NAICS_CODE: NAICS CODENAICS_DESC: NAICS DESCRIPTION parcelnum*: PARCEL NUMBER parcelobji* PARCEL OBJECT IDCHECK_* ACCESSIABLE* PUBLIC ACCESSIBILITYPROPMANAGER* PROPERTY MANAGERGlobalID Notes: field with * means it came from other source or field research done by Tian Xie in Aug, 2018BuildingOBJECTID_12 BUILDING_I: building idPARCEL_ID : parcel id BUILD_TYPE: building type CITY_ID:city id APN: parcel number RES_SQFT: Res square feet NONRES_SQF non-res square feetYEAR_BUILT: year built YEAR_DEMOHOUSING_UN: housing unitsSTORIES: # of stories MEDIAN_HGT: median height CONDITION: building condition HAS_CONDOS: has condos or not FLAG_SQFT: flag square feet FLAG_YEAR_: flag yearFLAG_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_LOCATOTEMP (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 buildingNonEmptySpace*: non-empty business space in this buildingCHECK_* FOLLOWUP*: need followup or notGlobalID*PropmMana*: property manager Notes: field with * means it came from other source or field research done by Tian Xie in Aug, 2018

  11. F

    Market Hotness: Page View Count per Property Versus the United States in...

    • fred.stlouisfed.org
    json
    Updated Mar 11, 2025
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    (2025). Market Hotness: Page View Count per Property Versus the United States in Macomb County, MI [Dataset]. https://fred.stlouisfed.org/series/LDPEPRVSUSCOUNTY26099
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    jsonAvailable download formats
    Dataset updated
    Mar 11, 2025
    License

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

    Area covered
    United States, Macomb County, Michigan
    Description

    Graph and download economic data for Market Hotness: Page View Count per Property Versus the United States in Macomb County, MI (LDPEPRVSUSCOUNTY26099) from Aug 2017 to Feb 2025 about Macomb County, MI; Detroit; MI; listing; and USA.

  12. F

    Market Hotness: Page View Count per Property in Wayne County, MI

    • fred.stlouisfed.org
    json
    Updated Mar 11, 2025
    + more versions
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    (2025). Market Hotness: Page View Count per Property in Wayne County, MI [Dataset]. https://fred.stlouisfed.org/series/LDPEPRYYCOUNTY26163
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 11, 2025
    License

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

    Area covered
    Wayne County, Michigan
    Description

    Graph and download economic data for Market Hotness: Page View Count per Property in Wayne County, MI (LDPEPRYYCOUNTY26163) from Aug 2018 to Feb 2025 about Wayne County, MI; Detroit; MI; listing; and USA.

  13. D

    Detroit Blocks, with Vacancy Index Summaries, 2014-15

    • detroitdata.org
    • portal.datadrivendetroit.org
    • +6more
    Updated Oct 28, 2015
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    Data Driven Detroit (2015). Detroit Blocks, with Vacancy Index Summaries, 2014-15 [Dataset]. https://detroitdata.org/dataset/detroit-blocks-with-vacancy-index-summaries-2014-15
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    csv, arcgis geoservices rest api, zip, html, kml, geojsonAvailable download formats
    Dataset updated
    Oct 28, 2015
    Dataset provided by
    Data Driven Detroit
    Area covered
    Detroit
    Description

    The D3 vacancy index was designed to provide a more nuanced assessment of structural vacancy than the "occupied/unoccupied/maybe" categories used in the Motor City Mapping windshield survey. The dataset includes several sources, including Motor City Mapping, utility data, and other resources to create a score evaluating the occupancy status of a parcel. These values are then coded as "Likely Occupied", "Potentially Vacant", "Likely Vacant", and "Very Likely Vacant", helping to show a spectrum of vacancy across Detroit at three points in time: July 2014, November 2014, and May 2015.


    Because the vacancy index incorporates proprietary data sources, D3 is unable to release the raw values of the index to the public at the address level. To allow the public to obtain some of the benefit from this highly-effective tool, however, D3 aggregated this data to the Census block level. This file allows Detroit's policymakers and community members to track vacancy across the city using data that is as up-to-date as possible.

    Field description metadata are available upon request.

  14. d

    Certificate of Occupancy

    • data.detroitmi.gov
    • hub.arcgis.com
    Updated Nov 24, 2021
    + more versions
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    City of Detroit (2021). Certificate of Occupancy [Dataset]. https://data.detroitmi.gov/datasets/certificate-of-occupancy/about
    Explore at:
    Dataset updated
    Nov 24, 2021
    Dataset authored and provided by
    City of Detroit
    Description

    A Certificate of Occupancy (C of O) is the permission to occupy a building or space based on approved permits. The application is submitted to BSEED along with all permits associated with the project. The building permit applicant or licensed professional would apply for the C of O, not necessarily the property owner. The purpose of tracking this information is to verify that the completed project has been approved for occupancy.

  15. o

    Meadow View Lane Cross Street Data in Detroit Lakes, MN

    • ownerly.com
    Updated Jan 28, 2022
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    Ownerly (2022). Meadow View Lane Cross Street Data in Detroit Lakes, MN [Dataset]. https://www.ownerly.com/mn/detroit-lakes/meadow-view-ln-home-details
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    Dataset updated
    Jan 28, 2022
    Dataset authored and provided by
    Ownerly
    Area covered
    Minnesota, Detroit Lakes, Meadow View Lane
    Description

    This dataset provides information about the number of properties, residents, and average property values for Meadow View Lane cross streets in Detroit Lakes, MN.

  16. F

    All-Transactions House Price Index for Detroit-Dearborn-Livonia, MI (MSAD)

    • fred.stlouisfed.org
    json
    Updated Feb 25, 2025
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    (2025). All-Transactions House Price Index for Detroit-Dearborn-Livonia, MI (MSAD) [Dataset]. https://fred.stlouisfed.org/series/ATNHPIUS19804Q
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Feb 25, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Dearborn, Detroit, Livonia, Michigan
    Description

    Graph and download economic data for All-Transactions House Price Index for Detroit-Dearborn-Livonia, MI (MSAD) (ATNHPIUS19804Q) from Q2 1976 to Q4 2024 about Detroit, MI, appraisers, HPI, housing, price index, indexes, price, and USA.

  17. f

    Commercial Certificates of Compliance

    • data.ferndalemi.gov
    • detroitdata.org
    • +1more
    Updated Nov 24, 2021
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    City of Detroit (2021). Commercial Certificates of Compliance [Dataset]. https://data.ferndalemi.gov/datasets/6baa4f7db4f14ee0a08dcf532412583c
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    Dataset updated
    Nov 24, 2021
    Dataset authored and provided by
    City of Detroit
    Description

    A Certificate of Compliance is issued by the Buildings, Safety, Engineering, and Environmental Department (BSEED) for commercial properties within the City of Detroit that have met all life safety and code requirements. Once obtained, a Commercial Certificate of Compliance is valid for two years from date of issuance. A Certificate of Compliance must be obtained for all commercial buildings and structures in the City of Detroit, whether active or vacant. All inspections and processes are conducted in accordance with the provisions of the City of Detroit Property Maintenance Code, Chapter 8 of the Detroit City Code and the City of Detroit Zoning Ordinance, Chapter 50 of the Detroit City Code. This data set is limited to currently valid Certificates of Compliance.For more informaiton, please see the BSEED Commercial Certificates of Compliance webpage.

  18. a

    Head Start Program Provider

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • portal.datadrivendetroit.org
    Updated Apr 4, 2016
    + more versions
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    Data Driven Detroit (2016). Head Start Program Provider [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/D3::head-start-program-provider
    Explore at:
    Dataset updated
    Apr 4, 2016
    Dataset authored and provided by
    Data Driven Detroit
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The Detroit early childhood interactive map contains data relating to early childhood and education. It is meant to help stakeholders better understand the early childhood landscape better.

  19. o

    Rogge Street Cross Street Data in Detroit, MI

    • ownerly.com
    Updated Apr 3, 2022
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    Ownerly (2022). Rogge Street Cross Street Data in Detroit, MI [Dataset]. https://www.ownerly.com/mi/detroit/rogge-st-home-details
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    Dataset updated
    Apr 3, 2022
    Dataset authored and provided by
    Ownerly
    Area covered
    Rogge Street, Detroit, Michigan
    Description

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

  20. a

    Detroit Future City 50 Year Land Use Zones

    • d3-portal-v2-d176b-d3.opendata.arcgis.com
    • data.ferndalemi.gov
    • +4more
    Updated Dec 19, 2014
    + more versions
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    Data Driven Detroit (2014). Detroit Future City 50 Year Land Use Zones [Dataset]. https://d3-portal-v2-d176b-d3.opendata.arcgis.com/datasets/detroit-future-city-50-year-land-use-zones
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    Dataset updated
    Dec 19, 2014
    Dataset authored and provided by
    Data Driven Detroit
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Area covered
    Earth
    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/.

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City of Detroit (2019). Parcel Viewer [Dataset]. https://detroitdata.org/dataset/parcel-viewer

Parcel Viewer

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Dataset updated
Sep 24, 2019
Dataset provided by
City of Detroit
Description

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