The Spatial Concentration of Subsidized Housing - Poverty & Race ...

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only 8 MSA’s). The segregation index also does not vary much by MSA populationsize with one exception; MSA’s under 100,000 have a lower segregation score. SeeTables 5.2 - 5.4 for descriptive statistics for subsidized housing segregation.TABLE 5.2Range of MSA Segregation Index (D)Subsidized Housing, Race, Ethnicity, and Poverty 2000SegregationIndex (D)Subsidized-Non-SubsidizedPercentBlack-Non-BlackPercentHispanic-Non-HispanicPercentPoor-Non-PoorPercent0 - .39 8 2.4 95 28.7 205 61.9 270 81.6.40 - .49 75 22.7 87 26.3 89 26.9 55 16.6.50 - .59 141 42.6 83 25.1 33 10.0 6 1.8.60 - .69 95 28.7 53 16.0 3 .9 0 0.70 - .79 12 3.6 11 3.3 1 .3 0 0.80 and Above 0 0 2 .6 0 0 0 0Total 331 100.0 331 100.0 331 100.0 331 100.0.50 and Above 248 74.9 149 45.0 37 11.2 6 1.8.60 and Above 107 32.3 66 19.9 4 1.2 0 0.0Source: Population by Race, Ethnicity and Income: U.S. Census, 2000. Subsidized Housing: HUD, A Picture of SubsidizedHousing 2000. Segregation Index calculated using the Index of Dissimilarity (D).84
TABLE 5.3Number of Subsidized Housing Units by MSA Segregation Index 2000MSA SubsidizedHousing SegregationIndex (D)# CensusTractsPercentTotal NumberSubsidizedUnitsPercentMeanSubsidizedUnits inCensusTractSubsidizedas Percentof TotalUnitsSubsidizedas Percentof RentalUnits0 - .39 244 0.4 24,747 0.6 101 .0535 .1415.40 - .49 3,533 6.9 301,281 7.5 85 .0506 .1185.50 - .59 20,896 40.9 1,654,394 41.1 79 .0497 .1125.60 - .69 25,166 49.2 1,978,413 49.1 79 .0512 .1048.70 - .79 1,279 2.5 68,048 1.7 53 .0326 .0791.80 and Above 0 0 0 0 -- -- --All Census Tracts 51,118 100.0 4,026,883 100.0 79 .0501 .1084TABLE 5.4Subsidized Housing Segregation by MSA Population 2000MSA PopulationBlack-Non-BlackHispanic-Non-HispanicPoor-Non-PoorSubsidized-Non-SubsidizedUnder 100,000 0.3599 0.3069 0.2856 0.4570100,000 - 249,999 0.4382 0.3477 0.3043 0.5379250,000 - 499,999 0.4925 0.3796 0.3311 0.5708500,000 - 999,999 0.5409 0.3989 0.3532 0.58461,000,000 - 4,999,999 0.5632 0.4243 0.3693 0.6092Over 5,000,000 0.6694 0.5390 0.4013 0.6276All MSA’s (331) 0.4836 0.3747 0.3280 0.560085
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THE SPATIAL CONCENTRATION OF SUBSID
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I certify that I have read this dis
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TABLE OF CONTENTSLIST OF TABLES ...
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6.4 Summary of Cluster Analysis Res
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Table 5.2 Range of MSA Segregation
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ABSTRACTSubsidized housing has been
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Chapter 1INTRODUCTIONPublic housing
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Data on subsidized housing prior to
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subsidy programs in that rents are
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Chapter 2LITERATURE REVIEWA compreh
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from the nine matched neighborhood
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Overall, it is clear that there are
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limited the study to city vs. subur
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to the public housing, location adj
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hardship; and 2) public housing wea
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deconcentrated over time is whether
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deconcentration. In fact, a higher
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in the same neighborhood). On avera
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Concentration of Tenant-Based Subsi
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Wang, Varady and Wang (2008) studie
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from the vouchers. However, there w
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consisting of single family zones,
Page 45 and 46: early-mid 1990’s consisting of pu
Page 47 and 48: Recent studies of individual housin
Page 49 and 50: One of the criticisms of the HOPE V
Page 51 and 52: that they are smaller scale, better
Page 53 and 54: Chapter 3METHODOLOGYWhile the conce
Page 55 and 56: Data AvailabilityA limitation in th
Page 57 and 58: just coming on line in the 1990’s
Page 59 and 60: with 1,500 to 12,000 the minimum an
Page 61 and 62: exclusion of these units is not pro
Page 63 and 64: Unduplication of Subsidized UnitsDu
Page 65: projects between 35.2 and 46.6 perc
Page 68 and 69: Resulting Data for AnalysisAs a res
Page 70 and 71: Lack of household level data will l
Page 72 and 73: TABLE 4.2Mean Subsidized Housing Un
Page 74 and 75: Measures of ConcentrationThree meas
Page 76 and 77: TABLE 4.6Subsidized Units as a Perc
Page 78 and 79: would have to be to be considered t
Page 80 and 81: mean of 82 subsidized units per tra
Page 82 and 83: Subsidized Housing by Type and Pove
Page 84 and 85: TABLE 4.9Subsidized Units by Subsid
Page 86 and 87: unemployment rate (.427), less than
Page 88 and 89: TABLE 4.12Correlation Matrix (page
Page 90 and 91: TABLE 4.12Correlation Matrix (page
Page 92 and 93: spatial sensitivity because many di
Page 94 and 95: It is possible that these census tr
Page 98 and 99: The correlation between the subsidi
Page 100 and 101: developing strategies to deconcentr
Page 102 and 103: y subsidy type. The correlation bet
Page 104 and 105: with a poverty rate of 9.2 percent.
Page 106 and 107: The cluster is relatively small con
Page 108 and 109: Cluster 7: Other Site-Based Units -
Page 110 and 111: the only cluster that had a signifi
Page 112 and 113: alter the perception of public hous
Page 114 and 115: VouchersVoucher type tracts are dom
Page 116 and 117: TABLE 6.1Subsidized Units by Cluste
Page 118 and 119: FIGURE 6.1Percent Census Tracts by
Page 120 and 121: FIGURE 6.5Census Tract Percent Rent
Page 122 and 123: Cluster - Concentration -PovertyCen
Page 124 and 125: strategies. The cluster map shows t
Page 126 and 127: FIGURE 6.9Map of Public Housing Uni
Page 128 and 129: Cluster 1: Voucher/No Subsidized Un
Page 130 and 131: considered moderately concentrated
Page 132 and 133: Cluster Analysis ResultsThe cluster
Page 134 and 135: tracts than other subsidy types it
Page 136 and 137: ecommend efforts to reduce the leve
Page 138 and 139: scale at which the impacts occur; 2
Page 140 and 141: units. Given the high cost of these
Page 142 and 143: REFERENCESAbt Associates, I. (2006)
Page 144 and 145: Briggs, X. d. S. (Ed.). (2005). The
Page 146 and 147:
Deng, L. (2007). Comparing the effe
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Ellen, I. G., & Voicu, I. (2005). N
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Galster, G. C. (2005). Consequences
Page 152 and 153:
Harris, L. E. (1999). A home is mor
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Johnson, M. P. (2006). Single-perio
Page 156 and 157:
Lee, B. A., Reardon, S. F., Firebau
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Nguyen, M. T. (2005). Does Affordab
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implementing eight consent decrees.
Page 162 and 163:
Schwartz, A. (1999). New York City
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Varady, D. P., & Walker, C. C. (200
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APPENDIX A.1Downloadable Databases
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APPENDIX A.4Missing DataPublicHousi
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APPENDIX A.6Subsidized Housing Unit
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APPENDIX A.8Subsidized Housing Unit
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APPENDIX A.9Demographics by Cluster
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MSAFIPS MSA Name Population Voucher
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MSA /PMSA Code MSA / PMSA Name Popu
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Author Date Data GeographyGalster a
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Author Date Data GeographyHolloway,
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Author Date Data GeographyType ofPr
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Author Date Data GeographyMurray 19
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Author Date Data GeographyLee 20081
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Author Date Data GeographyOakley 20
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Devine, Gray,Rubin andTaghavi (HUD)
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Carlson,Haveman,Kaplan andWolfe 200
Page 212 and 213:
Newman andSchnare 1997Rohe andFreem
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Galster andZobel 1998Freeman andBot
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