20160208 11335100 1.0 FGDC CSDGM Metadata FALSE MarketValueAnalysis2015 002 3658728.430398 3820725.379541 499774.579173 613426.584015 1 0.326 Projected GCS_North_American_1983 Linear Unit: Foot_US (0.304801) <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.7'><WKT>PROJCS["NAD_1983_StatePlane_Louisiana_South_FIPS_1702_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",3280833.333333333],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-91.33333333333333],PARAMETER["Standard_Parallel_1",29.3],PARAMETER["Standard_Parallel_2",30.7],PARAMETER["Latitude_Of_Origin",28.5],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",3452]]</WKT><XOrigin>-124791099.99975821</XOrigin><YOrigin>-91255499.999784634</YOrigin><XYScale>15624.999985448077</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.0005120000004768374</XYTolerance><ZTolerance>2.0000000000000002e-05</ZTolerance><MTolerance>2.0000000000000002e-05</MTolerance><HighPrecision>true</HighPrecision><WKID>102682</WKID><LatestWKID>3452</LatestWKID></ProjectedCoordinateSystem> NAD_1983_StatePlane_Louisiana_South_FIPS_1702_Feet 20201019 14024500 20201019 14024500 150000000 5000 FGDC Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1.11595 MarketValueAnalysis2015 1 -90.141018 -89.624611 30.181380 29.863249 This 2015 New Orleans Market Value Analysis (MVA) is a tool designed to assist the private market and government officials to identify and comprehend the various elements of local real estate markets. It is based fundamentally on local administrative data sources. By using an MVA, public sector officials and private market actors can more precisely craft intervention strategies in weak markets and support sustainable growth in stronger market segments. <DIV STYLE="text-align:Left;"><DIV><DIV>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 institutions, transportation hubs, 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 MVA:1. 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.</DIV></DIV></DIV> The Market Value Analysis (MVA) was prepared by Reinvestment Fund’s Policy Solutions team. Reinvestment Fund is a catalyst for change in low-income communities. We integrate data, policy and strategic investments to improve the quality of life in low-income neighborhoods. Using analytical and financial tools, we bring high-quality grocery stores, affordable housing, schools and health centers to the communities that need better access—creating anchors that attract investment over the long term and help families lead healthier, more productive lives. Since 1985, Reinvestment Fund has invested $1.6 billion in communities. Combining disciplined data and policy analysis with capital investment can address entrenched problems in low-income neighborhoods, including inequitable access to adequate affordable housing, childcare, and healthy food. Our practitioner-centered solutions provide investors, philanthropists, and policymakers with information they can leverage to drive capital and resources toward building neighborhoods where families can thrive. Reinvestment Fund Market Value Analysis MVA New Orleans Louisiana Real Estate Feature Class 0.326 dataset EPSG 8.9.3(10.0.0) 496 Simple FALSE 496 TRUE FALSE MarketValueAnalysis2015 Feature Class 496 OBJECTID OBJECTID OID 4 10 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 4 0 0 Feature geometry. Esri Coordinates defining the features. GeoID10 Block Group ID Number String 12 0 0 The United States Census Bureau's 2010 block group unique identifier. U.S. Census Bureau ClusterLet Market Cluster Type String 254 0 0 The MVA market type derived from Reinvestment Fund's MVA cluster analysis. Reinvestment Fund MSP_NoVDBS Median Sales Price, 2013 - Aug 2015 Double 8 38 8 The median sales price for homes sold between 2013 and Aug 2015. Sales of less than $1,000 were removed as non-arms length transactions. Additionally, sales of vacant land and substandard structures were removed. Orleans Parish Assessor’s Office, 2013; Orleans Parish Civil District Court, 2014 - Aug 2015 VSp_NoVDBS Coefficient of Variance for Sales Price, 2013 - Aug 2015 Double 8 38 8 The coefficient of variance for sales price of homes sold between 2013 and Aug 2015. Sales of less than $1,000 were removed as non-arms length transactions. Additionally, sales of vacant land and substandard structures were removed. Orleans Parish Assessor’s Office, 2013; Orleans Parish Civil District Court, 2014 - Aug 2015 PFc_SS_CI Foreclosure Filings (OPSO, 2013-14) + Sheriff Sales (OPCD, 2014 - Aug 2015) as a % of Owner-Occupied Housing Double 8 38 8 The count of foreclosure filings plus the count of sheriff sales as a percentage of all owner-occupied housing units. Orleans Parish Sheriff's Office, 2013-2014; Orleans Parish Civil District Court, 2014 - Aug 2015; U.S. Census Bureau 2009-2013 American Community Survey 5-Year Estimates PHHOO_13 Owner-Occupied Units as a % of Total Occupied Housing Units, 2013 Double 8 38 8 The count of owner-occupied housing units as a percentage of all occupied housing units (owner + renter). U.S. Census Bureau 2009-2013 American Community Survey 5-Year Estimates PPA1214 New Construction and Rehab Permits as a % of Total Residential Parcels, 2012-2015 Double 8 38 8 The count of residential parcels with a new construction permits or residential parcels with rehabilitation permits valued at more than $5,000 in the time period, as a percentage of all residential parcels. Dept. of Safety and Permits, 2012-2015; City Planning Commission, 2010 P_VacDrm Vacant Lots as a % of Total Residential Parcels, 2014 Double 8 38 8 The count of residential parcels designated as vacant lots (2014) as a percentage of all residential parcels. Vacant lots with new construction permits were removed from this count. Orleans Parish Communication District, 2014; Dept. of Safety and Permits, 2012-2015; City Planning Commission, 2010 PViol1315 Inspection Violations + Guilty Findings as a % of Total Residential Parcels, 2013-2015 Double 8 38 8 The count of residential parcels with inspection violations or guilty findings of noncompliance in response to an inspection violation, as a percentage of all residential parcels. Dept. of Code Enforcement, 2013-2015; City Planning Commission, 2010 PT_RES_VAC Rolling Average Percent of Residential Addresses That Are Vacant, 2014 Q2 - 2015 Q1 Double 8 38 8 Rolling average percent of residential addresses that were vacant, according to Valassis based on USPS postal service delivery data from 2014 Q2 through 2015 Q1. Valassis calculates the percentage as the number of residential addresses that were vacant (seasonal and non-seasonal), divided by the total number of valid postal addresses, including vacant and no-stat addresses. Vacant postal addresses are those where mail has not been collected for at least 90 days, excluding PO Boxes and rural route addresses. Valassis, 2014Q2 - 2015Q1 PPH_FINAL_ Subsidized Rental Units (Housing Choice Vouchers + Project-Based Units + Project-Based Vouchers) as a % of Renter-Occupied Housing Units, 2015 Double 8 38 8 The count of subsidized rental units as a percentage of all renter-occupied housing units. Housing Authority of New Orleans, 2015; U.S. Census Bureau 2009-2013 American Community Survey 5-Year Estimates PctSP_VDBS Vacant Land Sales as a % of Total Home Sales, 2013 - Aug 2015 Double 8 38 8 The count of vacant residential land sales and substandard structure sales as a percentage of all residential land sales. These vacant residential land sales and substandard structure sales are removed from the median and variance calculations. Orleans Parish Assessor’s Office, 2013; Orleans Parish Civil District Court, 2014 - Aug 2015 CPclsRmNRs Residential Parcels, 2010 Double 8 38 8 The count of residential parcels, based on the parcel land use file, 2010. City Planning Commission, 2010 CHU_13 Total Housing Units, 2013 Double 8 38 8 The count of all housing units, both owner- and renter-occupied. U.S. Census Bureau American Community Survey 2009-2015 CHHOO_13 Owner-Occupied Housing Units, 2013 Double 8 38 8 The count of owner-occupied housing units. U.S. Census Bureau 2009-2013 American Community Survey 5-Year Estimates CHHRO_13 Renter-Occupied Housing Units, 2013 Double 8 38 8 The count of renter-occupied housing units. U.S. Census Bureau 2009-2013 American Community Survey 5-Year Estimates CSP_NoVDBS Count of Home Sales, 2013 - Aug 2015 Double 8 38 8 The count of home sales from 2013 to August 2015. Sales of less than $1,000 were removed as non-arms length transactions. Additionally, sales of vacant land and substandard structures were removed. Orleans Parish Assessor’s Office, 2013; Orleans Parish Civil District Court, 2014 - Aug 2015 CFC_SS_CI Foreclosure Filings (OPSO, 2013-14) + Sheriff Sales (OPCD, 2014 - Aug 2015) Double 8 38 8 The count of foreclosure filings plus the count of sheriff sales. Orleans Parish Sheriff's Office, 2013-2014; Orleans Parish Civil District Court, 2014 - Aug 2015 CPA1214 New Construction and Rehab Permits, 2012-2015 Double 8 38 8 The count of residential parcels with a new construction permit or residential parcels with a sum of rehabilitation permit(s) cost exceeding $5,000 in the time period. Dept. of Safety and Permits, 2012-2015 CVacDm14CI Vacant Lots, 2014 Double 8 38 8 The count of residential parcels designated as a vacant lot (2014). Vacant lots with new construction permits were removed from this count. Orleans Parish Communication District, 2014; Dept. of Safety and Permits, 2012-2015 CViol1315 Inspection Violations & Guilty Findings, 2013-2015 Double 8 38 8 The count of residential parcels with inspection violations or guilty findings of noncompliance in response to an inspection violation. Dept. of Code Enforcement, 2013-2015 HCV_Counts Housing Choice Vouchers, 2015 Double 8 38 8 The count of all housing choice voucher subsidized rental units. Housing Authority of New Orleans, 2015 Cnt_PBV_PH Project-Based Units and Vouchers, 2015 Double 8 38 8 The count of all project-based housing units, including project-based voucher subsidized rental units. Housing Authority of New Orleans, 2015 CSP_VDBS Vacant Land and Substandard Structure Sales (2013 - Aug 2015) Double 8 38 8 The count of vacant residential land sales and substandard structure sales. These vacant residential land sales and substandard structure sales are removed from the median and variance calculations. Orleans Parish Assessor’s Office, 2013; Orleans Parish Civil District Court, 2014 - Aug 2015 Catgor_Cng Catgor_Cng SmallInteger 2 5 0 F2015MVASco F2015MVASco SmallInteger 2 5 0 F2012MVASco F2012MVASco SmallInteger 2 5 0 Shape.STArea() Shape.STArea() Double 0 0 0 Shape.STLength() Shape.STLength() Double 0 0 0 20201019