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Layer: Neighborhood Statistical Areas (0)

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Layer: Neighborhood Boundaries (1)

Name: Neighborhood Boundaries

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Description: HeaderDescriptionNAMEName of GeographyPopulationTotal Population CountWhiteTotal Count of Population that is WhiteBlk_AfAmTotal Count of Population that is Black/Afican AmericanAmInd_AkNaTotal Count of Population that is American Indian/Native AlaskanAsianTotal Count of Population that is AsianNatHaw_PacTotal Count of Population that is Native Hawiian/Pacific IslanderOther_RaceTotal Count of Population that is of another raceTwoOrMoreTotal Count of Population that is of two or more racesHisp_LatTotal Count of Population that is Hispanic/LatinoMaleTotal Count of Population that is MaleFemaleTotal Count of Population that is FemaleAge0_4Total Count of Population Age 0-4Age5_11Total Count of Population Age 5-11Age12_14Total Count of Population Age 12-14Age15_17Total Count of Population Age 15-17Age18_24Total Count of Population Age 18-24Age25_34Total Count of Population Age 25-34Age35_44Total Count of Population Age 35-44Age45_64Total Count of Population Age 45-64Age65ovrTotal Count of Population Age 65 and OverFamiliesTotal Count of FamiliesMarriedTotal Count of Married Couple Families Married18Total Count of Married Couple Families With Persons Present Under Age 18 MaleHHTotal Count of Families, Male Householder, No Wife PresentMaleHH18Total Count of Families, Male Householder, No Wife Present, Persons Present Under Age 18FemaleHHTotal Count of Families, Female Householder, No Husband PresentFemaleHH18Total Count of Families, Female Householder, No Husband Present, Persons Present Under Age 18HousingTotal Count of Housing UnitsOccupiedTotal Count of Occupied Housing UnitsOcc_OwnTotal Count of Owner Occupied Housing UnitsOcc_RentTotal Count of Renter Occupied Housing UnitsVacant Total Count of Vacant Housing UnitsVac_RentTotal Count of Vacant Housing Units for RentVac_SaleTotal Count of Vacant Housing Units for SaleVac_OtherTotal Count of Vacant Housing Units, Other

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Copyright Text: Source: U.S. Census Bureau, 2010 Census, Summary File 1 Prepared by City of Baltimore, Department of Planning

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Layer: Neighborhood Labels (2)

Name: Neighborhood Labels

Display Field: Name

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Copyright Text: Source: U.S. Census Bureau, 2010 Census, Summary File 1 Prepared by City of Baltimore, Department of Planning

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Layer: Political Boundaries (3)

Sub Layers:
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• MD GA Districts
• U.S. Congressional Districts
• Wards and Precincts
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Layer: City Council Districts (4)

Parent Layer: Political Boundaries

Sub Layers:
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• Upcoming Council Districts (2024-2032)
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Layer: Current Council Districts (2011-2024) (5)

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Copyright Text: Contact MOIT Enterprise Geographic Information Services for access constraints. 443-741-3213

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Layer: Upcoming Council Districts (2024-2032) (6)

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Layer: Planning Districts (11)

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Copyright Text: Contact MOIT Enterprise Geographic Information Services for access constraints. 443-741-3213

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Layer: Historic Districts and Landmarks (31)

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Description: Field Name Alias DescriptionGeoID10 Geoid10 United States Census Bureau 2010 block group unique identifierClusterLet Market Cluster Type The MVA market type derived from TRF's MVA cluster analysis.CSP1214_CI Count of residential home sales between 2012 and 2014Q2 The count of sales 2012 and 2014Q2, values under $1,000 were filtered out as non-arms length transactions. Residential sales were identified by usegroup in ('R','M','U') which is the "residential", "apartment", or "condo" designation, respectively, from the City of Baltimore parcel dataset.VSP1214_CI Coefficient of variance in residential home sales price between 2012 and 2014Q2 Coefficient of variance sales price was calculated by dividing the standard deviation of sales price within blockgroups by the average of sales price within blockgroups. Residential sales were identified by usegroup in ('R','M','U') which is the "residential", "apartment", or "condo" designation, respectively, from the City of Baltimore parcel dataset.MSP1214_CI Median residential home sales price between 2012 and 2014Q2 The median residential home sales price between 2012 and 2014Q2, values under $1,000 were filtered out as non arms length transactions. Residential sales were identified by usegroup in ('R','M','U') which is the "residential", "apartment", or "condo" designation, respectively, from the City of Baltimore parcel dataset.CVAC_14_CI Count of vacant housing parcels, 2014 Count of residential parcels that are vacant in September 2014, provided from the City of Baltimore .PVac_14_CI Vacant housing parcels as a % of all residential parcels, 2014 Percent of housing parcels that are vacant in September 2014, calculated by taking the count of vacant housing parcels (CVAC_14_CI) and dividing it by the count of residential parcels from the City of Baltimore.CVaLT14_CI Count of vacant lots, 2014 Count of residential parcels that are vacant land in November 2014, provided from the City of Baltimore. Areas with steep slope and with edges along the city boundary were filtered out by planning staff to create this updated variable.PVlot14_CI Vacant residential lots as a % of all residential parcels, 2014 Percent vacant residential parcels, calculated by taking the count of vacant lots (CVaLT14_CI) and dividing it by the count of residential parcels from the City of Baltimore parcel dataset.CFC1214_CI The count of residential foreclosure filings, 2012-2014Q2 The count of residential foreclosures filings, 2012-2014Q2, from the City of Baltimore dataset.PFcHu1214 Foreclosure filings as a % of all residential parcels 2012-2014Q2 The percent of residential foreclosures was calculated by dividing the count of residential foreclosures filings (cFC1214_CI) by the count of residential parcels from the City of Baltimore parcel dataset.CHUOO_14_C Count of owner occupied housing units in 2014 Count of housing units that are owner occupied, from the City of Baltimore parcel dataset, 2014.CHUO_14_Ci Count of occupied housing units in 2014 Count of all housing units that are occupied, from the City of Baltimore parcel dataset, 2014.PHOO_Hu_14 Owner-occupied units as a % of all occupied housing units, 2014 Percent of Housing Units that are Owner Occupied, from the City of Baltimore parcel dataset, 2014.PCIn_14_CI Commercial/Industrial land area as a % of total land area, 2014 Percent commercial and industrial land area calculated from the City of Baltimore parcel dataset. This variable was calculated by summing the area of commercial and industrial parcels (when usegroup like 'C' or like 'I') divided by the sum of the area of all parcels, 2014.CPa1214_gt Count of building permits < $10,000, 2012- 2014Q2 The count of parcels whose sum of building permits > $10,000, from 2012-2014Q2. Permits during the time period are tagged to each parcel and then aggregated. Parcels which have a combined permit value greater than $10,000 are then included in this count.PPa1214_gt Building permits as a % of all residential parcels, 2012 - 2014Q2 The count of parcels whose sum of building permits > $10,000 (CPa1214_gt) divided by the count of total residential parcels.LandSqMile Land area in square miles, 2014 The land area occupied by the 2010 block group, excluding water area, as calculated by TRF.HuSQmi14CI Housing units per square mile, 2014 The count of housing units in 2014 from the City of Baltimore parcel dataset (CHU_14_CI) divided by the land area in square miles, 2014 (LandSqMile).CHURO_14_C Count of renter occupied housing units in 2014 Count of housing units that are renter occupied, from the City of Baltimore parcel dataset, 2014.CHU_14_CI Count of housing units in 2014 The count of housing units in 2014 from the City of Baltimore parcel dataset._____________________________________________Our Normative Assumptions when Analyzing Markets: •Public subsidy is scarce and it alone cannot create a market; •Public subsidy must be used to leverage, or clear the path, for private investment; •In distressed markets, invest into strength (e.g., major institution of place, transportation hub, environmental amenities) – “Build from Strength”; •All parts of a city are customers of the services and resources that it has to offer; •Decisions to invest and/or deploy governmental programs must be based on objectively gathered data and sound quantitative and qualitative analysis. Preparing the MVA1.Take all of the data layers and geocode to Census block groups.2.Inspect and validate those data layers.3.Using a statistical cluster analysis, identify areas that share a common constellation of characteristics.4.Map the result.5.Visually inspect areas of the City for conformity with the statistical/spatial representation.6.Re-solve and re-inspect until we achieve an accurate representation.Please note that the following block groups were estimated based on data and on the ground validation. An associated shapefile with just these block groups is inclued in the original MVA map package, with cross hatching to note their status as estimated.geo_bounda in (245101202022, 245101304001, 245101307001, 245101601004, 245101301004, 245100401002, 245100402001, 245100401001, 245102604013, 245102801021, 245101202025, 245101206003, 245101302004, 245101601002, 245102604012, 245102604011 ,245102805003 ,245102805004, 245102803011, 245102805001).

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  Label: R-8/W-1
  Description:
  Symbol:
  Style: esriSFSBackwardDiagonal
  Color: [0, 112, 255, 255]
  Outline:
  Style: esriSLSSolid
  Color: [0, 112, 255, 255]
  Width: 1
• Value: R-9,
  Label: R-9
  Description:
  Symbol:
  Style: esriSFSSolid
  Color: [255, 255, 115, 255]
  Outline:
  Style: esriSLSSolid
  Color: [110, 110, 110, 255]
  Width: 0
• Value: R-10,
  Label: R-10
  Description:
  Symbol:
  Style: esriSFSSolid
  Color: [76, 115, 0, 255]
  Outline:
  Style: esriSLSSolid
  Color: [110, 110, 110, 255]
  Width: 0
• Value: TOD-1,
  Label: TOD-1
  Description:
  Symbol:
  Style: esriSFSBackwardDiagonal
  Color: [110, 110, 110, 255]
  Outline:
  Style: esriSLSSolid
  Color: [110, 110, 110, 255]
  Width: 0
• Value: TOD-2,
  Label: TOD-2
  Description:
  Symbol:
  Style: esriSFSSolid
  Color: [110, 110, 110, 255]
  Outline:
  Style: esriSLSSolid
  Color: [110, 110, 110, 255]
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• Value: TOD-3,
  Label: TOD-3
  Description:
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  Color: [110, 110, 110, 255]
  Outline:
  Style: esriSLSSolid
  Color: [110, 110, 110, 255]
  Width: 0
• Value: TOD-4,
  Label: TOD-4
  Description:
  Symbol:
  Style: esriSFSSolid
  Color: [114, 229, 189, 255]
  Outline:
  Style: esriSLSSolid
  Color: [110, 110, 110, 255]
  Width: 0
• Value: TOD-4,W-2
  Label: TOD-4/W-2
  Description:
  Symbol:
  Style: esriSFSSolid
  Color: [0, 0, 0, 255]
  Outline:
  Style: esriSLSSolid
  Color: [64, 101, 235, 255]
  Width: 0
Transparency: 0
Labeling Info:
Advanced Query Capabilities:
Supports Statistics: true
Supports OrderBy: true
Supports Distinct: true
Supports Pagination: true
Supports TrueCurve: true
Supports Returning Query Extent: true
Supports Query With Distance: true
Supports Sql Expression: true
Supports Query With ResultType: false


HasZ: false

HasM: false

Has Attachments: false

HTML Popup Type: esriServerHTMLPopupTypeAsHTMLText

Type ID Field: null

Fields:
• Shape ( type: esriFieldTypeGeometry , alias: Shape )
• Zoning ( type: esriFieldTypeString , alias: Zoning , length: 15 )
• overlay ( type: esriFieldTypeString , alias: overlay , length: 5 )
• Label ( type: esriFieldTypeString , alias: Label , length: 15 )
• OBJECTID_1 ( type: esriFieldTypeOID , alias: OBJECTID_1 )
• OBJECTID ( type: esriFieldTypeInteger , alias: OBJECTID )
• Shape_Leng ( type: esriFieldTypeDouble , alias: Shape_Leng )
• URL ( type: esriFieldTypeString , alias: URL , length: 150 )
• Shape.STArea() ( type: esriFieldTypeDouble , alias: Shape.STArea() )
• Shape.STLength() ( type: esriFieldTypeDouble , alias: Shape.STLength() )
• GlobalID ( type: esriFieldTypeGlobalID , alias: GlobalID , length: 38 )
• created_user ( type: esriFieldTypeString , alias: created_user , length: 255 )
• created_date ( type: esriFieldTypeDate , alias: created_date , length: 8 )
• last_edited_user ( type: esriFieldTypeString , alias: last_edited_user , length: 255 )
• last_edited_date ( type: esriFieldTypeDate , alias: last_edited_date , length: 8 )