M ay 2018 M ap Proje ction and Datum : M a ryland State Plane ,North Am e rican Datum of 1983 (NAD83).

"Cluster Descriptions cont."Purpose of Methodology

"Variable Maps

"Cluster Descriptions

ReinvestmentFundMichael BravermanCommissionerThomas J. StosurDirector of PlanningCatherine E. PughMayor

A The block groups in this m a rke t re pr e s e nt com pe titive hous ing m a rke ts with the highe st s ale s price s and the lowe st for e closure activity in the re gion. V acant build ings a r e ra r e and the s e a r e a s a r e am ongst the lowe st re s id e ntial d e ns ity of all cate gorie s. M a rke t inte rve ntions a r e not ne ce s s a ry in the s e m a rke ts, but bas ic m unicipal s e rvice s such a s stre e t m a inte nance and cod e e nforce m e nt a re e s s e ntial to m a inta ining the s e m a rke ts. The block groups in the s e m a rke ts re pr e s e nt above City ave rage s ale s price s, m a inta ine d by high le ve ls of pe rm it activity. M a rke t “B”ha s high owne r s hip rate s, com pa r e d to m a rke t “C” which ha s the s e cond highe st subs id ize d re ntal m a rke t; while both a re am ong the highe st re s id e ntial d e ns ity acros s the city. M od e st ince ntive s and strong ne ighborhood m a rke ting should ke e p the s e com m unitie s he althy, with the pote ntial for growth.

B C

D E The block groups in the s e m a rke ts a r e ne a r the City ave rage in s ale s price s but with m a rke d ly highe r for e closure activity com pa r e d to “A”, “B”, and “C” m a rke ts. The highe st le ve l of owne r occupancy, low subs id ize d r e ntal, and low re s id e ntial d e ns ity a re re pr e s e nte d by m a rke t “D”. The s e m a rke ts com bine d r e pr e s e nt 25% of all hous e hold s, includ ing 31% of all owne r occupie d hous e hold s in the City. Inte rve ntions a r e ge a r e d towa rd aggre s s ive cod e e nforce m e nt, which in turn supports e xisting hom e owne r s.

RM 1 RM 2 Re ntal M a rke t 1 is pre d om inantly m ultifa m ily; 74% of all re ntal units be ing in m ultifa m ily structure s. Re ntal M a rke t 2 ha s m or e s ingle fa m ily re ntal units, only 31% are in m ultifa m ily build ings (pe r U.S. Ce nsus e stim ate s), and m a rke d ly lowe r m e d ia n re nts. The subs id ize d re ntal block groups com pris e 7,016 hous ing units, ove r 15% of all of the subs id ize d hous ing units in the City. The s e m a rke ts com bine d r e pr e s e nt only 5% of all hous e hold s, includ ing only 9% of all re nte r occupie d hous e hold s in the re gion.

Baltimore City's 2017 Housing Market TypologyBaltim or e ’s hous ing m a rke t typology wa s d e ve lope d to a s s ist the City in its e fforts to strate gically m atch available public re s ource s to ne ighborhood hous ing m a rke t cond itions. The typology is a critical tool us e d by the De pa rtm e nt of Hous ing’s V acants to V alue progra m to a d d r e s s city-wid e vacant hous ing challe nge s. The typology is als o us e d by the Hous ing Cod e Enforce m e nt Divis ion to tailor m a rke t inte rve ntions and strate gie s to ne ighborhood cond itions. For e xam ple , s om e activitie s, such a s d e m olition, m ay be ne ce s s a ry in the m ost challe nge d m a rke ts to bring about change in whole blocks. The s e activitie s m ay be applie d m or e s e le ctive ly in stable m a rke ts on blighte d or aband one d prope rtie s that could ne gative ly im pact the appe a l of surround ing blocks without such inte rve ntion. The typology is als o us e d to inform local ne ighborhood planning by he lping ne ighborhood re s id e nts und e r stand the hous ing m a rke t force s im pacting the ir com m unitie s.The typology is a hous ing m a rke t cla s s ification sche m e ba s e d on quantitative d ata and a statistical proce s s calle d "Cluste r Analys is." Cluste r analys is is a statistical te chnique that is applie d to d ata that e xhibit “natural” groupings or cluste r s. A cluste r is a group of re lative ly s im ila r ca s e s or obs e rvations. Cluste r analys is s orts through the raw d ata and groups ca s e s with s im ila r d ata cha racte ristics. “Subje cts ” in a cluste r a r e re lative ly s im ila r to e ach othe r while colle ctive ly be ing d is s im ila r to thos e outs id e the cluste r. The e ight va riable s which d e fine the City’s hous ing m a rke t (s e e be low) we re aggre gate d to the ce nsus block group le ve l, allowing for a d e ta ile d analys is within tra d itional City ne ighborhood s.This 2017 upd ate of the City’s Hous ing M a rke t Typology wa s jointly d e ve lope d by the Baltim or e City Planning De pa rtm e nt, De pa rtm e nt of Hous ing & Com m unity De ve lopm e nt, and Re inve stm e nt Fund .

Residential Permits >$10,000

Source: Baltimore Housing 2015q3-2017q2 Database

0% - 2%3% - 6%7% - 23%24% - 50%51% - 100%Non-ResidentialGreen Space

Percent Owner Occupied

Source: Derived from Baltimore City Real Property July 2017 Database

0% - 21%22% - 39%40% - 56%57% - 75%76% - 100%Non-ResidentialGreen Space

Housing Units Per Square Mile

Source: Baltimore Housing July 2017 Database

0.00 - 13.7413.75 - 27.7127.72 - 41.7741.78 - 71.4171.42 - 193.48Non-ResidentialGreen Space

Vacant Lots & Vacant Buildings

Source: Baltimore Housing July 2017 Database

0% - 3%4% - 10%11% - 19%20% - 39%40% - 79%Non-ResidentialGreen Space

Foreclosure Filings

0% - 10%11% - 22%23% - 37%38% - 67%68% - 95%Non-ResidentialGreen Space

Source: Baltimore City Circuit Court 2015q3-2017q2 foreclosure filingsSource: Baltimore City real estate transactions 2015q3-2017q2

$0 - $15,000$15,000 - $30,000$30,000 - $75,000$75,000 - $100,000$100,000 - $150,000$150,000 - $200,000$200,000 - $300,000$300,000 - $850,000Non-ResidentialGreen Space

Median Sales Price

Source: Baltimore City real estate transactions 2015q3-2017q2

0.00 - 0.500.51 - 0.750.76 - 1.001.01 - 1.251.26 - 1.85Non-ResidentialGreen Space

Sales Price Variation

E B A LT IM O R E S TO R L E A N S S T

E R D M A N AV E

NMONROE ST

N B ROA DWA Y

P U L A S K IH W Y

NCHAR LE S ST

E D MO N D

SON AVE

W N O R T H AV E

GRE EN MOU NT AV E

P A R K H E IG H T S AVE

L IB E R T Y H E IG H T S AV E

HARF

O RD R

OAD

RE IS TER S TOW NRO AD

NHILT

ONST

F R E D E R IC K AV E

SMONR O E STW IL KE N S A

V E

W FAY E T T E S T

E N O R T H AV E

W F R A N K L IN S T

W PATA PS C O AV E

FALL S RO AD

E M O N U M E N T S T

HIL LE N

S T

LOCH

RAVE

N BL V

D

E FAY ET T E S TW M U L B E R R Y S T

W N O R T H ER N P

KW

Y

H ARF

O RD A

VE

B E LA IR

RO AD

E PATA P S C O AV E

B O S T O N S T

SCHARL ES ST

E A S T E R N AV E

SCATONAV E

H ILLE

N ROA

D

SHAN OVER ST

N HOW ARD ST

YORK

ROAD

HILTO

NPK

WY

R USS EL

L ST

E N O R T H E R N P K W Y

LIGHT S T

De ve lope d in pa rtne r s hip be twe e n the Baltim or e City Planning De pa rtm e nt, De pa rtm e nt of Hous ing & Com m unity De ve lopm e nt, and Re inve stm e nt Fund .

Rental Market 2Rental Market 1

Public/Private/InstitutionalCommercialIndustrialNon-ResidentialGreen Space

AB CD E

F G HI J

F G H The block groups in the s e m a rke ts e xpe rie nce s ale s price s ~30-50% be low the city ave rage , while ke e ping for e closure activity s im ila r to m a rke ts “D” and “E”. M a rke ts “F” and “H” have s ignificant le ve ls of owne r occupancy, while m a rke t “G” re pr e s e nts the lowe st le ve l of owne r occupancy and the highe st le ve l of subs id ize d hous ing units (19%). The s e m a rke ts com bine d re pr e s e nt 27% of all hous e hold s, includ ing 27% of all owne r occupie d hous e hold s in the re gion. Inte rve ntion strate gie s a im to support hom e owne r s living in com m unitie s with lim ite d acce s s to re s ource s and und e r-appr e ciate d a s s e ts, such a s historic hous ing stock.I J The block groups in the s e m a rke ts e xpe rie nce the lowe st s ale s value s in the city, roughly 80-90% lowe r than the City ave rage . The s e m a rke ts contain the lowe st le ve ls of pe rm it activity, low for e closure activity, and the highe st vacancy rate . O ne -fifth of all re s id e ntial land in m a rke t “J” is e ithe r vacant land or vacant build ings. The s e m a rke ts com bine d re pr e s e nt 13% of all hous e hold s, and only 11% of all owne r occupie d hous e hold s in the re gion. The y have e xpe r ie nce d s om e of the m ost substantial population los s e s in the City d uring the pa st d e ca d e s. Com pre he ns ive hous ing m a rke t inve ntions s hould be ta rge te d in this m a rke t cate gory, includ ing s ite a s s e m bly, tax incre m e nt financing, and conce ntrate d d e m olitions to cre ate pote ntial for gre ate r public s a fe ty and ne w gre e n am e nitie s.