FWS x 1  :   k  _sans    l  _sans      O      }zt&0   	Z    x /   Pl @    Recent Change in Lender-Owned Properties in the Largest 100 Metros    	h    x    Pk      Real estate owned (REO) properties per 1,000 mortgageable properties, March 2009    x D    q(p  -ȍO??g矜O߾@m߻     [   z.
   -JH;`"=E] o^} " 7 w_`
@ ) 9 ; >6K/@ oP>ߧ oOP   p~ 9{ s OO/=_~ ; ` z o/ {  { 7  w=%_?    ~   yz   -H 8G 
}R S ?` 9  `  w o P~ `
 o 7`` o0>DwO`
@Qp =//? 9O]O?=W/? _^/__  `{) '`{ O} 7 l o}        i]   ->낫 w@7ߡPw> og}v g]^ w_]~g{Ov_>wh
{ / ~Wh{}Nvs]_ w'뻀sݿ0wpo}Rn ? h;?@ @o`6p swsS~o{?/o; So] vݿ@ w=d { 9"n39. 7 w^'p        z}l   -c~ 8 @ 9 `{v 뀖 l߿`= 7H ޿}y o_?` 	      z$U=6   -݉ S p P)  p ߨz= { 7 > o `zD  {7  o@ )=  s w 7( {P ;`
@  ;7 x	o z `} S^"w`   ~ l w} ;  /`{?= _`z  l ߠ`? 6 ; o`"6    sP~A w`z o//`
    q1  -i\? ƀo|=       xÉA   -wK o` 8 7/` m s`
  s/   p o` S_ ޠ   7  7 h `?  4 ߰@  7 P  p` ?`@ o ހ
}  `
@  8 o 7 ?@>#P o `z) w}@'  {& p sz 7/=?{ s?^   P~  D } 7O) O@?z\  s` w(` 7'/ 6 o   8 w @ E  o o O^?{'~=_[}{_}z_^/z'//O~_ Ow} ?{^'/_O_'_^h/`}{ >; O@  SHo@"{o 6A' '`       yļN   -  8 ;6@} o_P )O "z\ w`
}@ ;'
} S@ ;/`{={  ޿  ^ /_'?`? ߿_ w `{%        rD  -ɳo!:0O)H@ o@O p~ "_/?|(~y|K'O>@        z,Eif   -s"K' `{ ~
} @6  ;>)_{  ; o= 7( P~?=COO_~'/___=_})O    s    zŠM   - 7 l oz w}@v  x!oW:  hO~ 7_^        z?U	~   -^~\   `   8 w@ m(` sO}   s o  7p>} S̀+~" p `         h   -L'`)OKS  ; `_ { Sp wH7>rp߸
7O o7 R ps7 (
{H;_]7o;}S7wpRycy? ^ oh; n    	   rN)  -˧[ R:_@__y$?|@`_~y /? o?^ o_>O?/~<O?_@'~ 7?x ǐhC p        z
F   -JH 4O7{
^}@zO`} 9P~}(O` ; >/( { 7[/'?_^@'`@ S p@~0 S`"? T    K   zGŌ   -c~m pO
} o OP l w 3}@_ R ~ l ߿
} w`
z 7 p P>}'/^'^= _O{H`"{ ' `{ } o_ "W"_zr 7 o_`    Z    p@  -ĥ?	p3<O_? "| ߈x7.¼藐@    K    q<(   -d*
_? 1%w>@ o?ޒ~         zf	t   -G~} `@z ) / /P y+O^})O~OO wO 7_ ^        z{X   -sK SH`@ @{ 7 }y/_`
{'_ ;=O_^ S        r?\  -z	lO@ p  ) 7 
|R w~@ o  S o~@ o@xQ @ ;@ l @ h "y S w~ ;y p  7  OϬ? ;?@~|     Y    rNhl   -) l/?S[yO  m
|@`_^}+my	h!&6       zdN   -ʄxj > ;Q@{x  @{ o  h`  8 ߰ 7 P) 9(O`@ 9 ; > H'  7H@){Kg_ w_=? sp
^~ y/_ `z ) ;O `?  s w > OEQZ S 
@       qLPr`  -l/! "@&( ~}ϣy?<?~ x_ w ~?? 9_'^ ;_xO/ s_ o^ 9/ ^+/|? ;_ ;/|w       y   -  0`
@{ ;O^o} S_^/=C`{  o} _= { 7  ;_ { //`
z ;/^  7?^ w?z s/_}@ w/?z  ;O`{ o} ?^/{ 9/^/{ 7_^
}  7 y 7~ h _
}/`q?   <   s!  -?    Ro D>@ s_ " 7 <@(
^    o~@ ;  O@)~@) ? o w~@ o@y 8@)_y? /@ 7? |? p _ w/?~>+_? ^@_\ ?'/y 7/|';   S   rZ   - o%6 ߐ
 p@D ; ?   o o w  8   ߀@ ;y  SR  H?S & 4	o?@)(>  7 O 4
|8O ~@7 s`  T
^~  ;ߏ |_/|O@'?/_xA w.>?Ѐ       yD   -E!X `]O/@b` S_O^ o}mA/?` ; w 
} m 7 7Pހ=) `  7=Sw   7  ?  w `{   S \ w?} S oO_{P \ @ _~  ;@> 7/"/}  O_ o@S`?  @} 9o`{ ' ߿@= { _}7'?{ 7_  n oO  { l s `} o `@ 8 ; = 7 ~ 7H `? So  l % oP ;//@  ; ޠ
} 7 p
^= S/@ S'~=`
{^!   v   z   -(_ w/{ cO  S? 7p `@ ; ~}  ` o 9O){ ߧ/P~}  ߿@' S/?` 7'
}?_p   p   7 w? @޿} 7 o   S( P=__K o _ "      zQZ

   -鄈~qwH	װ?}  Pޟ} 7{ '_}@  ;//_^//O^ /`}@{  ;?O^ ` 9{  op> o/P 8 ߿@@  _  ;_/ w}{?z? 7?vK_  #   2   zŻ   - ) 4 w/`z\ o  7/~}  P  o=@ 8 ; ~  } w_ { 6 oO w?z ;  __' { o ~w 9	m oEc/ ~ ߧ/`뀅$      y,d   -S z 8 ߿@z O 7 h O~  p @~  p w@@ ; w 8 w@ S/@"z 9 P> 4 ߿ ` ;_ 4  m  @{ o'`? 8 w?}  ; ~ ;0}  p O^ _`) 0>  o 9 {  }w/_ w_@  /@ ; ^ /@ { oP  7}?{ 7?//_ _@ S w/`
@ ;?} 7w/{$ 7P ߿_{ U__ //_^0 %      yĭ   -賉~  o/ wO`   H R s ~  7/  pޠ o?z Sp`  ; w@ ;_}{ 7_ ~/_`{ _^  o?{ 6 ;^  p `  = 9 ; o}  7H` ;` 9W` 9cO/z} O/P  lO&   Y    ri#   -˅%E[
|S   l ߈F}Ϟy Ώ!OR '      y`
   -k2 @}  o ޠ? _~}@{ s >} S oP~/}@{ ; ߿'@=@w_P SO@{ `?/` S/_W ^  w
 (   I   yJ   -O~ o(`3{ ; ߿@) m`{K >}@  ;@~ D ` 7` o} S ;  h O~ 7/?_?} 7/= _}_ o_ ' O_/=)   A   q	   -(  ߟ p~y l  p|@ h x 9 ߐP@ ;y 8 ?  
|?~@ ;`x7 oO~@)`x@6 p@x
|'@7 ;   7 < w^}Oy o?/y _ '_ ?Iꯐ)  *       rP   -[ 4  7@<8H@ s   9 l ߈
^ s? 
@) o?9O~' }o_? |^?xǐ?O?_ C/|/  +   k   xBF   -2 8 w@
} 7+ ;/?} B` p w/` ;H z ) o/ ;  @> W?O> n[ǫ S'/`
@ 8 ; w { x`  ;p ;o Ѐ o?'?  w/`  R ;P~) 7 s >\O@? @ ,      zD酇L   -~} S o@>
}S `
@ n  ߰@ 6 ; o=) `/ n ;   ߿`?{  o w} {  
}@ ; ߨO{ o L o/~ 7O`? g"_ -   C   y:   -賍~ 7 8 oK_}@ )}{   ) S p` / %?{ o
}Oz_P~=?{_ ~}z) ; 9O_= 9//_  8 w  o/}_`?{>? ;//='/{A'Pޟ= 7 o@{/
} z}>} _z+?x[їHO~-zO lO?{@ w_`z 7!oMڄ l w O$ w.   R    zZ	   -N~ 7 8 o`
@   l w@ /    zq(Q	   -(~'_`{ R l 0   b    zőWR   -<_`
@D{ O^݀D/?=`" 1   D    q
ഠ  -ȶe4 7 @ǟ~}	4@ 2      pMx   -Í.!	 8D >@ ;`\< @ @7? o_y/? |''~?/W_x_|/^@ o? ww? ;?  w w?/?뼀 >@y  7 o__?|'  p ; ? /@_O?_|/? ;?]o? |/?%Q SO?+@'^?/ 7 3       q&@  -D[_?y|   ;/|?O  <O@E_y?yO|/ xA |w ~@7 7 9S  4   <   s**0  -,5 p/~@ 7y 8 ?7 w? @ s p ?  w~y 8 ? 7>  P|@?@   (~ y/  7  w  p l? @ w~ o    >y p ? ؠ|Ǉ 7_a|G( 5       yDy   -v~Kw@  P) S P)'`
}6 S   4 w?@{_O_ /O^\ w=/ 6   u   x+^   -s `0 7 o o} 7 _` 9 o
}m mP=@{  ;~ S_{  l O~ 7?{  o__/` 8 w_=/? 8 ;O/?  o^ 8 ߿? 6 ;~' w/_)O  o?}? pP 7 _ S w/P~@{ ;/P S?P@zO/zO__^ = S _}?  wOP> 9  @ޠ?z ߿@ 9 ) 7  w/ /@=O^?  o0   { =? 7}? _@z   ;O { 9O`z W@ `} w` @} {>/{' 9^ ;/_=? w?=?{ /~ w?O^ { ߯_` sW`
@ S_O}O`?p)  ;} / _޿}7    7@ 7//z  S  _~ ;/=w`zK?} S_W} O/`
 8 ; ~  7/ ` Sޠ) 7 w/@>"  n[	 7  w
}?{ 7_KxN`@ o7[Ŏ  R _^)Oὀ [s  o?`  ;  8 w `[ W_}[Ú~ O P o/~=@ 7    ;@ { 7/~ (c? O`) S ho\o> SH@_o~+O` z 4O@!o~c S(O^ w `_}@ ~@z'_~ 7/zoڃ 8 w  o  {`@z-Й~  ߨ  9̷z?1z  70޿7   h    z:ƃ  Ҁ 333-QC~'}  	 s# L $ `? '  8  ?j    z:ƃ   -QC~'}  	 s# L $ `? '  4zJF BPa&p    d     0~} Pz 2r(BPXq @    d     ʾ 	
<` 4zJ BPa@    d     0} Pz 5z@+z L=@     d     0} (zha` 6yR6 Tn X    d     }RzPʹ +yM6z  333    -s~=C\ze x	p 
  
Pl  Youngstown-Warren-Boardman, OH-PA  V	P ( 
Pl     	C   	p   
Pl  REOs per 1,000 mortgageable properties: 0.4%  b	
` 6` 
Pl  Rank: 44/100   b   r׌'`   333-0)?O|ϟ  ~ s y ? 	9H G @= ?d   r׌'`   -0)?O|ϟ  ~ s y ? 	9H G @4zJ  BPa8@    d     0} Pz 2r'@BPYG    d     (
<` 4zJ BPaQ    d     0
<} Pz 5z@H
 L=A@    d     0} (zha` 6yUF6
 O)@    d     
<}>zP	 +yPF64
  333    -}~=C\ze4 a	` 0 
Pl  Wichita, KS  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 1.81  b	` 6` 
Pl  Rank: 40/100   h   zn/=	  M  333-#	~'}  	 s# L $ `? '  B ?j   zn/=	   -#	~'}  	 s# L $ `? '  4zJq" BPa-P    d     0Z} Pz 2rn!`BPT    d     2#y
<` 4zJ3	 BPaF    d     0} Pz 5z@	V L=@    d     0} (zha` 6yAF63	~ w#    d     A}zPȉ +y<F6	V  333    --~=C\zc 	C   p *  
Pl  Washington-Arlington-Alexandria, DC-VA-MD-WV  V	 P ( 
Pl     	C   !p   
Pl  REOs per 1,000 mortgageable properties: 6.49  b	"` 6` 
Pl  Rank: 89/100   b   #r>*@  333--=?O|ϟ  ~ s y ? 	9H G @G #?d   $r>*@  --=?O|ϟ  ~ s y ? 	9H G @4%zJR BPa>    d     0} Pz 2&r*X`BPYa    d     ,9
<` 4'zJK BPaXp    d     0} Pz 5(z@ L=A.    d     0} (zha` 6)yUF6K O,    d     }>zP	 +*yPF6  333    -}~=C\ze4 _	+` )@ 
Pl  Tulsa, OK  V	,P ( 
Pl     	C   -p   
Pl  REOs per 1,000 mortgageable properties: 1.46  b	.` 6` 
Pl  Rank: 23/100   b   /q^0    333-J3-?O|ϟ  ~ s y ? 	9H G @L /?d   0q^0   -J3-?O|ϟ  ~ s y ? 	9H G @41z[G	 BPMXJ    d     	} Pz 22qT0H BP0@    d     2)
<` 43z[	R BPMXdP    d     } Pz 54z[o L=6^     d     	V} (zha` 65x	* O2    d     }>zP	 +6x[  333    -	.~=C\ze4 `	7` / 
Pl  Tucson, AZ  V	8P ( 
Pl     	C   9p   
Pl  REOs per 1,000 mortgageable properties: 3.36  b	:` 6` 
Pl  Rank: 72/100   h   ;z{  Ҁ 333-/~'}  	 s# L $ `? '  Q ;?j   <z{   -/~'}  	 s# L $ `? '  4=zJ2 BPa%    d     0j} Pz 2>r؋`BPY    d     
<` 4?zJ BPa?p    d     0} Pz 5@z@!f L=@ʀ    d     0} (zha` 6AyUF6 O     d     }>zP	 +ByPF6f  333    -}~=C\ze4 `	C` 0  
Pl  Toledo, OH  V	DP ( 
Pl     	C   Ep   
Pl  REOs per 1,000 mortgageable properties: 2.68  b	F` 6` 
Pl  Rank: 60/100   h   GzB5    333-t~'}  	 s# L $ `? '  V G?j   HzB5   -t~'}  	 s# L $ `? '  4IzJi BPa\    d     0J} Pz 2Jr9X`BPY    d     ;9
<` 4KzJ+ BPavp    d     0} Pz 5Lz@F L=A    d     0} (zha` 6MyUF6+n O;    d     }>zP	 +NyPF6}F  333    -}r~=C\ze4 z	Op 

  
Pl  Tampa-St. Petersburg-Clearwater, FL  V	PP ( 
Pl     	C   Qp   
Pl  REOs per 1,000 mortgageable properties: 3.07  b	R` 6` 
Pl  Rank: 67/100   h   Szj(/  fw 333-~'}  	 s# L $ `? '  [ S?j   Tzj(/   -~'}  	 s# L $ `? '  4UzJc BPap    d     0>} Pz 2Vr(xBPY@    d     	
<` 4WzJ% BPa6    d     0} Pz 5Xz@: L=@     d     0} (zha` 6YyUF6%b OX    d     }>zP	 +ZyPF6w:  333    -}f~=C\ze4 b	[` 9 
Pl  Syracuse, NY  V	\P ( 
Pl     	C   ]p   
Pl  REOs per 1,000 mortgageable properties: 0.58  a	^` 1` 
Pl  Rank: 1/100   b   _px*!p` M  333-²$?O|ϟ  ~ s y ? 	9H G @` _?d   `px*!p`  -²$?O|ϟ  ~ s y ? 	9H G @4ay5b BP@8,`    d     <} Pz 2bpn! BP     d     0#
<` 4cy5$	 BP@8F     d     } Pz 5dy+	8 L=     d     } (zha` 6exA!$	` c%@    d     @}zP +fx<!v	8  333    -,d~=C\zd b	g` 7 
Pl  Stockton, CA  V	hP ( 
Pl     	D   ip   
Pl  REOs per 1,000 mortgageable properties: 14.73  b	j` 6` 
Pl  Rank: 99/100   b   ks%0` Ҁ 333-
'?O|ϟ  ~ s y ? 	9H G @e k?d   ls%0`  -
'?O|ϟ  ~ s y ? 	9H G @4mzJ BPa3    d     0,} Pz 2nr$ীBPY6     d     &
<` 4ozJ
x BPaM    d     0	} Pz 5pz@
( L=A    d     0|} (zha` 6qyUF6
P O'    d     	}>zP	 +ryPF6
(  333    -}T~=C\ze4 g	sh    Pl  St. Louis, MO-IL  V	tP ( 
Pl     	C   up   
Pl  REOs per 1,000 mortgageable properties: 2.18  b	v` 6` 
Pl  Rank: 50/100   h   wzC   333-+~'}  	 s# L $ `? '  j w?j   xzC   -+~'}  	 s# L $ `? '  4yzJw. BPa    d     0f} Pz 2zr{ BPY@    d     
<` 4{zJ9 BPa7P    d     0} Pz 5|z@b L=@     d     0} (zha` 6}yUF69 O    d     }>zP	 +~yPF6b  333    -}~=C\ze4 f	h    Pl  Springfield, MA  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 1.51  b	` 6` 
Pl  Rank: 27/100   ^   ihhoD   333-DAw'{w= ~ s@I #0w Gop	? o ?`   ihhoD   -DAw'{w= ~ s@I #0w Gop	? 4z]" BPBP    d     W Z} Pz 0iTlĦ BPn    d     @=o 4z] BPB    d     W} Pz 5zSV L= H    d     W } (zha` 6x_I~ O(<?     d     }>zP	 +xZIV  333    - ~=C\ze4 r	p   
Pl  Seattle-Tacoma-Bellevue, WA  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 1.67  b	` 6` 
Pl  Rank: 32/100   h   zv>f  fw 333-A~'}  	 s# L $ `? '  t ?j   zv>f   -A~'}  	 s# L $ `? '  4zJ BPa"`    d     0} Pz 2r BPY     d     
<` 4zJH BPa<     d     0} Pz 5z@ L=@    d     0L} (zha` 6yUF6  OP    d     }>zP	 +yPF6  333    -}$~=C\ze4 p	h    Pl  Scranton-Wilkes-Barre, PA  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 0.94  a	` 1` 
Pl  Rank: 6/100   h   zB]    333-t_~'}  	 s# L $ `? '  y ?j   zB]   -t_~'}  	 s# L $ `? '  4zJb BPa_P    d     0} Pz 2r:`BPY    d     <y
<` 4zJS BPax    d     0} Pz 5z@ L=A    d     0} (zha` 6yUF6S O<    d     }>zP	 +yPF6  333    -}~=C\ze4 t	p   
Pl  Bradenton-Sarasota-Venice, FL  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 3.44  b	` 6` 
Pl  Rank: 73/100   b   pZ!H M  333-:#?O|ϟ  ~ s y ? 	9H G @~ ?d   pZ!H  -:#?O|ϟ  ~ s y ? 	9H G @4y] BPz0@    d     2} Pz 2pP BPA    d     "
<` 4y	~ BPz1    d     } Pz 3s(L9C     d     F	Cf<y 4pd `O"    d     "i	a< )pZ 333    -i55Ǆ< x	p 	  
Pl  San Francisco-Oakland-Fremont, CA  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 5.31  b	` 6` 
Pl  Rank: 83/100   b   p.-P M  333-ö/?O|ϟ  ~ s y ? 	9H G @ ?d   p.-P  -ö/?O|ϟ  ~ s y ? 	9H G @4z	Db BPCD     d     a4} Pz 2p-  BP!w     d     4.
<` 4z	Db BPC]    d     a} Pz 5z	DX0 L=aC    d     a} (zha` 6xaNX O(    d     }>zP	 +x\N0  333    -\~=C\ze4 x	p 	  
Pl  San Diego-Carlsbad-San Marcos, CA  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 6.02  b	` 6` 
Pl  Rank: 84/100   b   r8   333-˚:?O|ϟ  ~ s y ? 	9H G @ ?d   r8   -˚:?O|ϟ  ~ s y ? 	9H G @4{[7 BPbY    d     S
} Pz 2r7 BP[A@    d     9
<` 4{[2 BPbsP    d     Sj} Pz 5{Q_ L=     d     S6} (zha` 6y^G
 O9    d     j}>zP	 +yYGK  333    -~=C\ze4 f	h    Pl  San Antonio, TX  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 1.76  b	` 6` 
Pl  Rank: 37/100   b   qr`  333-ƚ!?O|ϟ  ~ s y ? 	9H G @ ?d   qr`  -ƚ!?O|ϟ  ~ s y ? 	9H G @4zed BPN'`    d     } Pz 2qhBP3A     d      
<` 4ze BPNA     d      } Pz 5ze: L=;    d     } (zha` 6x O4@    d     4 }>zP	 +x&  333    - ~=C\ze4 i	h    Pl  Salt Lake City, UT  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 1.41  b	` 6` 
Pl  Rank: 21/100   b   px* 0` M  333-²"?O|ϟ  ~ s y ? 	9H G @ ?d   px* 0`  -²"?O|ϟ  ~ s y ? 	9H G @4y!: BP}    d     } Pz 2pnBP     d     0!
<` 4y!	8 BP}     d     p} Pz 5yb L9Ck     d     <} (zha` 6xA	 O$|@    d     @p}>zP	 +x<N  333    -,~=C\ze4 |	p   
Pl  Sacramento-Arden-Arcade-Roseville, CA  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 7.45  b	` 6` 
Pl  Rank: 91/100   h   zX4  fw 333-~'}  	 s# L $ `? '   ?j   zX4   -~'}  	 s# L $ `? '  4zJh BPa    d     0H} Pz 2rPy@BPYـ    d     1
<` 4zJ* BPa6`    d     0} Pz 5z@D L=@@    d     0} (zha` 6yUF6*l O    d     }>zP	 +yPF6|D  333    -}p~=C\ze4 c	` ?  
Pl  Rochester, NY  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 1.13  b	` 6` 
Pl  Rank: 14/100   h   zl*
   333-	~'}  	 s# L $ `? '   ?j   zl*
   -	~'}  	 s# L $ `? '  4zJ BPa3@    d     0} Pz 2r$@BPY3    d     &q
<` 4zJ
d BPaL    d     0	} Pz 5z@
 L=A @    d     0h} (zha` 6yUF6
< O&    d     	}>zP	 +yPF6
  333    -}@~=C\ze4 b	` <  
Pl  Richmond, VA  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 1.70  b	` 6` 
Pl  Rank: 33/100   h   zbr   333-
~'}  	 s# L $ `? '   ?j   zbr   -
~'}  	 s# L $ `? '  4zJH BPa:    d     0} Pz 2r(P@BPYQ    d     *1
<` 4zJ
T BPaT`    d     0
} Pz 5 z@p L=A@    d     0X} (zha` 6yUF6
, O*    d     
}>zP	 +yPF6\  333    -}0~=C\ze4 g	h H   Pl  Raleigh-Cary, NC  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 1.47  b	` 6` 
Pl  Rank: 25/100   b   qw& 0` Ҁ 333-Ʈ"?O|ϟ  ~ s y ? 	9H G @ ?d   qw& 0`  -Ʈ"?O|ϟ  ~ s y ? 	9H G @4	zhE : BPN)    d     } Pz 2
qmBP3     d     ,!
<` 4zhE 	8 BPNC    d     p} Pz 5zhEb L=<    d     <} (zha` 6x	 O4l@    d     >p}>zP	 +xN  333    -*~=C\ze4 e	h X   Pl  Provo-Orem, UT  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 1.84  b	` 6` 
Pl  Rank: 42/100   h   zŠC    333-+~'}  	 s# L $ `? '   ?j   zŠC   -+~'}  	 s# L $ `? '  4zJw. BPa    d     0f} Pz 2r{ BPY@    d     
<` 4zJ9 BPa7P    d     0} Pz 5z@b L=@     d     0} (zha` 6yUF69 O    d     }>zP	 +yPF6b  333    -}~=C\ze4 	?   p   
Pl  Providence-New Bedford-Fall River, RI-MA  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 2.85  b	` 6` 
Pl  Rank: 62/100   ^   i6؏  Ҁ 333-|R7w'{w= ~ s@I #0w Gop	?  ?`    i6؏   -|R7w'{w= ~ s@I #0w Gop	? 4!yDDs& BPA(p    d     %^} Pz 1"i"E BP0q     d     xN'o 4#yDD5 BPA('    d     %} Pz 5$yD:Z L=i     d     %} (zha` 6%xR05 O&O`    d     }>zP	 +&xM0Z  333    -r~=C\ze4 z	'p 
  
Pl  Portland-Vancouver-Beaverton, OR-WA  V	(P ( 
Pl     	C   )p   
Pl  REOs per 1,000 mortgageable properties: 1.88  b	*` 6` 
Pl  Rank: 43/100   h   +z  fw 333-'~'}  	 s# L $ `? '   +?j   ,z   -'~'}  	 s# L $ `? '  4-zJ * BPa    d     0b} Pz 2.rjBPY    d     
<` 4/zJ BPa/0    d     0} Pz 50z@^ L=@    d     0} (zha` 61yUF6 O    d     }>zP	 +2yPF6	^  333    -}~=C\ze4 |	3p 
  
Pl  Portland-South Portland-Biddeford, ME  V	4P ( 
Pl     	C   5p   
Pl  REOs per 1,000 mortgageable properties: 1.12  b	6` 6` 
Pl  Rank: 13/100   h   7zDڃ	8  fw 333-y~'}  	 s# L $ `? '   7?j   8zDڃ	8   -y~'}  	 s# L $ `? '  49zJ+ BPa(    d     0} Pz 2:rhBPY
@    d     !I
<` 4;zJ	 BPaB    d     0R} Pz 5<z@S L=@     d     0} (zha` 6=yUF6 O!    d     R}>zP	 +>yPF6?  333    -}~=C\ze4 d	?` = 
Pl  Pittsburgh, PA  V	@P ( 
Pl     	C   Ap   
Pl  REOs per 1,000 mortgageable properties: 1.06  a	B` 1` 
Pl  Rank: 9/100   b   CqGh-xʀ M  333-0?O|ϟ  ~ s y ? 	9H G @ C?d   DqGh-xʀ  -0?O|ϟ  ~ s y ? 	9H G @4EzZ	 BPM0Dp    d     >} Pz 2Fq=6-(ȠBP-x@    d     n/	
<` 4GzZ BPM0^    d     } Pz 5HzZ: L=6E     d     } (zha` 6Ixb c2`    d     }zP +Jx:  333    -f~=C\zd r	Kp   
Pl  Phoenix-Mesa-Scottsdale, AZ  V	LP ( 
Pl     	D   Mp   
Pl  REOs per 1,000 mortgageable properties: 10.91  b	N` 6` 
Pl  Rank: 95/100   h   OzEU	  fw 333-nu~'}  	 s# L $ `? '   O?j   PzEU	   -nu~'}  	 s# L $ `? '  4QzJx BPa(     d     0} Pz 2Rr{,BPU    d     d 
<` 4SzJ BPaA    d     04} Pz 5Tz@D L=@@    d     0 } (zha` 6UyG6 k'!     d     Z4}zPQ +VyB60  333    -F~=C\zdX 	B   Wp   
Pl  Philadelphia-Camden-Wilmington, PA-NJ-DE-MD  V	XP ( 
Pl     	C   Yp   
Pl  REOs per 1,000 mortgageable properties: 1.07  b	Z` 6` 
Pl  Rank: 11/100   h   [zPP  M  333-~'}  	 s# L $ `? '   [?j   \zPP   -~'}  	 s# L $ `? '  4]zJ7 BPaY    d     0
} Pz 2^r7 BPY@    d     9
<` 4_zJ2 BPasP    d     0j} Pz 5`z@_ L=A     d     06} (zha` 6ayUF6
 O9    d     j}>zP	 +byPF6K  333    -}~=C\ze4 a	c` 2 
Pl  Orlando, FL  V	dP ( 
Pl     	C   ep   
Pl  REOs per 1,000 mortgageable properties: 6.45  b	f` 6` 
Pl  Rank: 88/100   b   gr4 0` Ҁ 333-̼"?O|ϟ  ~ s y ? 	9H G @ g?d   hr4 0`  -̼"?O|ϟ  ~ s y ? 	9H G @4izJ: BPa)    d     0} Pz 2jrBPY     d     !
<` 4kzJ	8 BPaC    d     0p} Pz 5lz@b L=@    d     0<} (zha` 6myUF6	 O"    d     p}>zP	 +nyPF6N  333    -}~=C\ze4 r	oh    Pl  Omaha-Council Bluffs, NE-IA  V	pP ( 
Pl     	C   qp   
Pl  REOs per 1,000 mortgageable properties: 1.83  b	r` 6` 
Pl  Rank: 41/100   b   srҌ+@  333-.}?O|ϟ  ~ s y ? 	9H G @ s?d   trҌ+@  -.}?O|ϟ  ~ s y ? 	9H G @4uzJ BPaAP    d     0} Pz 2vr+`BPYk    d     -y
<` 4wzJs& BPaZ    d     0^} Pz 5xz@ L=A8    d     0*} (zha` 6yyUF6s O-    d     ^}>zP	 +zyPF6  333    -}~=C\ze4 h	{h     Pl  Oklahoma City, OK  V	|P ( 
Pl     	C   }p   
Pl  REOs per 1,000 mortgageable properties: 1.50  b	~` 6` 
Pl  Rank: 26/100   h   zk  fw 333-~'}  	 s# L $ `? '   ?j   zk   -~'}  	 s# L $ `? '  4zJ
 BPa$    d     0B} Pz 2r	L8BPF    d     Ȅ
<` 4zJ BPa>0    d     0} Pz 5z@> L=@ŀ    d     0} (zha` 6y6f '4h    d     j}zP +y6>  333    -Vj~=C\z` 	I   p   
Pl  New York-Northern New Jersey-Long Island, NY-NJ-PA  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 1.25  b	` 6` 
Pl  Rank: 18/100   b   s6` fw 333-n9E?O|ϟ  ~ s y ? 	9H G @ ?d   s6`  -n9E?O|ϟ  ~ s y ? 	9H G @4zJ
T BPaV    d     0
} Pz 2r6`BPY     d     8A
<` 4zJ BPap    d     0} Pz 5z@2 L=A    d     0
} (zha` 6yUF6 O8    d     }>zP	 +yPF6  333    -}
~=C\ze4 v	p 	$  
Pl  New Orleans-Metairie-Kenner, LA  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 1.38  b	` 6` 
Pl  Rank: 20/100   h   y?7   333-C~'}  	 s# L $ `? '   ?j   y?7   -C~'}  	 s# L $ `? '  4zJk BPa<    d     0N} Pz 2rn)hBPTZ@    d     2+I
<` 4zJ- BPaV    d     0
} Pz 5z@J L=A'     d     0} (zha` 6yAF6-r w+    d     A
}zPȉ +y<F6J  333    --v~=C\zc 	E   p *  
Pl  Nashville-Davidson--Murfreesboro--Franklin, TN  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 1.71  b	` 6` 
Pl  Rank: 35/100   b   p}>"8 M  333-$?O|ϟ  ~ s y ? 	9H G @ ?d   p}>"8  -$?O|ϟ  ~ s y ? 	9H G @4yD:{6 BP@-    d     n} Pz 2ps!蛠BP@    d     D#
<` 4yD:=	 BP@G    d     } Pz 5yD0	j L=`     d     } (zha` 6xC&=	 c%l`    d     J}zP +x>&	j  333    -6~=C\zd a	` 7 
Pl  Modesto, CA  V	P ( 
Pl     	D   p   
Pl  REOs per 1,000 mortgageable properties: 13.84  b	` 6` 
Pl  Rank: 97/100   b   s;8v M  333-?O|ϟ  ~ s y ? 	9H G @ ?d   s;8v  -?O|ϟ  ~ s y ? 	9H G @4zJE BPa    d     0} Pz 2r8tBPY    d     
<` 4zJN BPa40    d     0} Pz 5z@m L=@    d     0R} (zha` 6yUF6& Oh    d     }>zP	 +yPF6Y  333    -}*~=C\ze4 ~	p T  
Pl  Minneapolis-St. Paul-Bloomington, MN-WI  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 7.63  b	` 6` 
Pl  Rank: 92/100   h   y݄H  Ҁ 333-~'}  	 s# L $ `? '   ?j   y݄H   -~'}  	 s# L $ `? '  4zJ BPa!p    d     0} Pz 2rBPY@    d     
<` 4zJu* BPa;    d     0b} Pz 5z@ L=@     d     0.} (zha` 6yUF6u O    d     b}>zP	 +yPF6  333    -}~=C\ze4 x	p 	  
Pl  Milwaukee-Waukesha-West Allis, WI  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 2.36  b	` 6` 
Pl  Rank: 57/100   h   zhE#  M  333-
~'}  	 s# L $ `? '   ?j   zhE#   -
~'}  	 s# L $ `? '  4zJ BPadP    d     0:} Pz 4xBF BPE    d     )} Pz 4zJ BPa}    d     0} Pz 5z@	6 L=AĀ    d     0} (zha` 6yF6^ 李?H    d     Q}zP	 +y F66  333    -=b~=C\z`4 	H   p 
  
Pl  Miami-Fort Lauderdale-Pompano Beach-Homestead, FL  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 6.22  b	` 6` 
Pl  Rank: 86/100   b   s,`    333-<.?O|ϟ  ~ s y ? 	9H G @ ?d   s,`   -<.?O|ϟ  ~ s y ? 	9H G @4zJ BPaB@    d     0} Pz 2r,@BPYo    d     -
<` 4zJD BPa[    d     0|} Pz 5z@ L=A<@    d     0H} (zha` 6yUF6 O.@    d     |}>zP	 +yPF6  333    -} ~=C\ze4 h	h    Pl  Memphis, TN-MS-AR  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 4.36  b	` 6` 
Pl  Rank: 79/100   h   y[	  fw 333-Y~'}  	 s# L $ `? '   ?j   y[	   -Y~'}  	 s# L $ `? '  4{F`\ BPbg     d     ]} Pz 4yV BP-    d     } Pz 4{F` BPb    d     ]} Pz 5{FV6 L=    d     ]} (zha` 6y`L O6@    d     }>zP	 +y[L"  333    -~=C\ze4 s	p 4  
Pl  McAllen-Edinburg-Mission, TX  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 1.24  b	` 6` 
Pl  Rank: 17/100   b   s   fw 333-<?O|ϟ  ~ s y ? 	9H G @?d   s    -<?O|ϟ  ~ s y ? 	9H G @4zJ BPa!    d     0} Pz 2rЃ@BPY    d     
<` 4zJz4 BPa;`    d     0l} Pz 5z@ L=@@    d     08} (zha` 6yUF6z O     d     l}>zP	 +yPF6  333    -}~=C\ze4 a	` 5  
Pl  Madison, WI  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 0.96  a	` 1` 
Pl  Rank: 7/100   h   zV
  Ҁ 333-p
~'}  	 s# L $ `? '  
?j   zV
   -p
~'}  	 s# L $ `? '  4zJ BPa4    d     0@} Pz 2r%0BPY8    d     '
<` 4zJ
 BPaN     d     0	} Pz 5z@
< L=A@    d     0} (zha` 6yUF6
d O'`    d     	}>zP	 +yPF6
<  333    -}h~=C\ze4 y	p 	j  
Pl  Louisville-Jefferson County, KY-IN  V	 P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 2.00  b	` 6` 
Pl  Rank: 46/100   b   p*0` M  333-\,?O|ϟ  ~ s y ? 	9H G @?d   p*0`  -\,?O|ϟ  ~ s y ? 	9H G @4yLz4 BPA=    d     4l} Pz 2p)ເBPQ^     d     +
<` 4yL< BPAW    d     4
} Pz 5yBh L=*    d     4} (zha` 6	xVD8< O'$@    d     
}>zP	 +
xQD8h  333    -~=C\ze4 {	p 
  
Pl  Los Angeles-Long Beach-Santa Ana, CA  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 5.07  b	` 6` 
Pl  Rank: 82/100   b   s\-P  333-B/?O|ϟ  ~ s y ? 	9H G @?d   s\-P  -B/?O|ϟ  ~ s y ? 	9H G @4zJ BPaD     d     04} Pz 2r-  BPYw     d     .
<` 4zJ BPa]    d     0} Pz 5z@0 L=AC    d     0} (zha` 6yUF6X O/0    d     }>zP	 +yPF60  333    -}\~=C\ze4 	?   p   
Pl  Little Rock-North Little Rock-Conway, AR  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 1.54  b	` 6` 
Pl  Rank: 29/100   b   qZ'8 M  333-)?O|ϟ  ~ s y ? 	9H G @?d   qZ'8  -)?O|ϟ  ~ s y ? 	9H G @4z8v BPH7    d     } Pz 2p(&诠BP%F@    d     `(
<` 4z8
 BPHQ    d     
2} Pz 5 z8ķC
 L=%!     d     } (zha` 6!x
 c-ܤ`    d     X
2}zP +"x/
  333    -D~=C\zd m	#h    Pl  Las Vegas-Paradise, NV  V	$P ( 
Pl     	D   %p   
Pl  REOs per 1,000 mortgageable properties: 15.43  c	&` ;` 
Pl  Rank: 100/100   h   'zI+  M  333-~'}  	 s# L $ `? '  '?j   (zI+   -~'}  	 s# L $ `? '  4)zJ_ BPa\0    d     06} Pz 2*r9 BPY@    d     :
<` 4+zJ! BPau    d     0} Pz 5,z@2 L=A     d     0} (zha` 6-yUF6!Z O;8    d     }>zP	 +.yPF6s2  333    -}^~=C\ze4 p	/h `   Pl  Lakeland-Winter Haven, FL  V	0P ( 
Pl     	C   1p   
Pl  REOs per 1,000 mortgageable properties: 4.82  b	2` 6` 
Pl  Rank: 81/100   h   3z2   333-	~'}  	 s# L $ `? '  #3?j   4z2   -	~'}  	 s# L $ `? '  45zJf BPa<    d     0D} Pz 26r)@ BPYY     d     +!
<` 47zJ( BPaV@    d     0
} Pz 58z@@ L=A%    d     0} (zha` 69yUF6(h O+p    d     
}>zP	 +:yPF6z@  333    -}l~=C\ze4 c	;` 9 
Pl  Knoxville, TN  V	<P ( 
Pl     	C   =p   
Pl  REOs per 1,000 mortgageable properties: 1.57  b	>` 6` 
Pl  Rank: 30/100   b   ?s $   333-R'%?O|ϟ  ~ s y ? 	9H G @(??d   @s $  -R'%?O|ϟ  ~ s y ? 	9H G @4AzJ BPa2    d     0} Pz 2Br$@ BPY1     d     &!
<` 4CzJ
P BPaL@    d     0	} Pz 5Dz@
  L=@    d     0T} (zha` 6EyUF6
( O&p    d     	}>zP	 +FyPF6
   333    -},~=C\ze4 i	Gh h   Pl  Kansas City, MO-KS  V	HP ( 
Pl     	C   Ip   
Pl  REOs per 1,000 mortgageable properties: 2.99  b	J` 6` 
Pl  Rank: 65/100   h   KzGj  Ҁ 333-~'}  	 s# L $ `? '  -K?j   LzGj   -~'}  	 s# L $ `? '  4MzJ
 BPaR    d     0
 } Pz 2Nr40BPY    d     6
<` 4OzJL BPal     d     0} Pz 5Pz@ L=A}@    d     0
P} (zha` 6QyUF6$ O6`    d     }>zP	 +RyPF6  333    -}
(~=C\ze4 g	Sh    Pl  Jacksonville, FL  V	TP ( 
Pl     	C   Up   
Pl  REOs per 1,000 mortgageable properties: 2.57  b	V` 6` 
Pl  Rank: 59/100   b   Ws2 ܠ Ҁ 333-<4?O|ϟ  ~ s y ? 	9H G @2W?d   Xs2 ܠ  -<4?O|ϟ  ~ s y ? 	9H G @4YzJt
( BPaM    d     0	`} Pz 2Zr1BPY    d     3
<` 4[zJ6 BPag     d     0} Pz 5\z@\ L=Ai@    d     0	} (zha` 6]yUF66 O3    d     }>zP	 +^yPF6\  333    -}	~=C\ze4 a	_` 7  
Pl  Jackson, MS  V	`P ( 
Pl     	C   ap   
Pl  REOs per 1,000 mortgageable properties: 2.03  b	b` 6` 
Pl  Rank: 47/100   h   cyDL	    333-M	=~'}  	 s# L $ `? '  7c?j   dyDL	   -M	=~'}  	 s# L $ `? '  4ezJ@ BPa.@    d     0x} Pz 2fr"@BPY    d     #
<` 4gzJB	 BPaG    d     0} Pz 5hz@	t L=@@    d     0} (zha` 6iyUF6B	 O$@    d     }>zP	 +jyPF6	t  333    -}~=C\ze4 n	kh (   Pl  Indianapolis-Carmel, IN  V	lP ( 
Pl     	C   mp   
Pl  REOs per 1,000 mortgageable properties: 3.21  b	n` 6` 
Pl  Rank: 70/100   b   osz7  Ҁ 333-:5?O|ϟ  ~ s y ? 	9H G @<o?d   psz7   -:5?O|ϟ  ~ s y ? 	9H G @4qzJ( BPaX    d     0
} Pz 2rr7P@BPYɀ    d     91
<` 4szJ BPar`    d     0L} Pz 5tz@P L=A@    d     0} (zha` 6uyUF6 O9    d     L}>zP	 +vyPF6<  333    -}
~=C\ze4 u	wp 	  
Pl  Houston-Sugar Land-Baytown, TX  V	xP ( 
Pl     	C   yp   
Pl  REOs per 1,000 mortgageable properties: 2.05  b	z` 6` 
Pl  Rank: 48/100   b   {q8@ fw 333-0:?O|ϟ  ~ s y ? 	9H G @A{?d   |q8@  -0:?O|ϟ  ~ s y ? 	9H G @4}zxA< BPPZ     d     
} Pz 2~qv7BP7΀    d     Ʈ9
<` 4zxA< BPPs    d     t} Pz 5zx7d L=E@    d     @} (zha` 6x- O6t    d     t}>zP	 +x-P  333    -k~=C\ze4 b	` 5  
Pl  Honolulu, HI  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 0.91  a	` 1` 
Pl  Rank: 5/100   h   zł\  fw 333-]~'}  	 s# L $ `? '  F?j   zł\   -]~'}  	 s# L $ `? '  4zJ` BPa@    d     0} Pz 2r~@BPY    d     q
<` 4zJR BPa8    d     0} Pz 5z@ L=@@    d     0} (zha` 6yUF6R O    d     }>zP	 +yPF6  333    -}~=C\ze4 	?   p   
Pl  Hartford-West Hartford-East Hartford, CT  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 1.17  b	` 6` 
Pl  Rank: 15/100   h   zj(	  fw 333-u~'}  	 s# L $ `? '  K?j   zj(	   -u~'}  	 s# L $ `? '  4zJx BPa(     d     0} Pz 2rBPY    d      
<` 4zJ BPaA    d     04} Pz 5z@D L=@@    d     0 } (zha` 6yUF6 O!     d     4}>zP	 +yPF60  333    -}~=C\ze4 n	h    Pl  Harrisburg-Carlisle, PA  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 0.71  a	` 1` 
Pl  Rank: 3/100   h   z3ĺs0  Ҁ 333-8~'}  	 s# L $ `? '  P?j   z3ĺs0   -8~'}  	 s# L $ `? '  4zJ BPa@    d     0} Pz 2r+H BPYi@    d     -)
<` 4zJi BPaZP    d     0J} Pz 5z@ L=A6     d     0} (zha` 6yUF6i O-x    d     J}>zP	 +yPF6  333    -}~=C\ze4 d	` ?  
Pl  Greenville, SC  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 2.34  b	` 6` 
Pl  Rank: 56/100   h   zSh   333-
~'}  	 s# L $ `? '  U?j   zSh   -
~'}  	 s# L $ `? '  4zJC BPa:p    d     0} Pz 2r((BPYP@    d     *	
<` 4zJJ BPaT    d     0
} Pz 5z@k
 L=A     d     0N} (zha` 6yUF6" O*X    d     
}>zP	 +yPF6W
  333    -}&~=C\ze4 p	h    Pl  Greensboro-High Point, NC  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 1.74  b	` 6` 
Pl  Rank: 36/100   h   yDz>  M  333-M~'}  	 s# L $ `? '  Z?j   yDz>   -M~'}  	 s# L $ `? '  4zJ BPa!     d     0} Pz 2r BPY     d     a
<` 4zJp  BPa:    d     0X} Pz 5z@ L=@    d     0$} (zha` 6yUF6p O    d     X}>zP	 +yPF6  333    -}~=C\ze4 o	h `   Pl  Grand Rapids-Wyoming, MI  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 6.10  b	` 6` 
Pl  Rank: 85/100   b   p$@ M  333- &?O|ϟ  ~ s y ? 	9H G @_?d   p$@  - &?O|ϟ  ~ s y ? 	9H G @4y= BP@2     d     } Pz 2pf#BPq.    d     %
<` 4y=~
< BP@K    d     	t} Pz 5y3	 L= @    d     @} (zha` 6xN)~
 O&4    d     w	t}>zP	 +xI)	  333    -c~=C\ze4 `	` 0  
Pl  Fresno, CA  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 6.55  b	` 6` 
Pl  Rank: 90/100   h   zNT  M  333-~'}  	 s# L $ `? '  d?j   zNT   -~'}  	 s# L $ `? '  4zJ BPaa    d     0} Pz 4yAB҇{6 BPV    d     An} Pz 4zJ{6 BPa{p    d     0n} Pz 5z@ L=A    d     0:} (zha` 6yKF6{ c2>    d     in}zP +yFF6  333    -U~=C\zd p	h    Pl  Cape Coral-Fort Myers, FL  V	P ( 
Pl     	D   p   
Pl  REOs per 1,000 mortgageable properties: 12.62  b	` 6` 
Pl  Rank: 96/100   b   q؈2P fw 333-44?O|ϟ  ~ s y ? 	9H G @i?d   q؈2P  -44?O|ϟ  ~ s y ? 	9H G @4z~
< BPU N     d     	t} Pz 2qΈz2  BP@     d     ǲ3
<` 4z@ BPU g    d     } Pz 5zxp L=UAk    d     	} (zha` 6xEn@ O:    d     }>zP	 +xEnp  333    -	~=C\ze4 a	` / 
Pl  El Paso, TX  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 1.10  b	` 6` 
Pl  Rank: 12/100   h   zf  M  333-~'}  	 s# L $ `? '  n?j   zf   -~'}  	 s# L $ `? '  4zJ BPa"`    d     0} Pz 2r BPY     d     
<` 4zJH BPa<     d     0} Pz 5z@ L=@    d     0L} (zha` 6yUF6  OP    d     }>zP	 +yPF6  333    -}$~=C\ze4 q	h    Pl  Detroit-Warren-Livonia, MI  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 9.75  b	` 6` 
Pl  Rank: 93/100   b   s4h@ Ҁ 333-͢!?O|ϟ  ~ s y ? 	9H G @s?d   s4h@  -͢!?O|ϟ  ~ s y ? 	9H G @4zJ! BPa(P    d     0} Pz 2r`BPY    d      
<` 4zJ	 BPaA    d     0>} Pz 5z@I L=@Ԁ    d     0
} (zha` 6yUF6 O!H    d     >}>zP	 +yPF65  333    -}~=C\ze4 e	h @   Pl  Des Moines, IA  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 2.32  b	` 6` 
Pl  Rank: 55/100   b   r	"   333-B%?O|ϟ  ~ s y ? 	9H G @x?d    r	"  -B%?O|ϟ  ~ s y ? 	9H G @4złJ BPY8.    d     '} Pz 2r	"8BPH     d     $
<` 4zńG	 BPY8H0    d     '	} Pz 5zŻ	~ L=f     d     '} (zha` 6yG	 O>    d     	}>zP	 +y	~  333    -t~=C\ze4 s	p f  
Pl  Denver-Aurora-Broomfield, CO  V	P ( 
Pl     	C   	p   
Pl  REOs per 1,000 mortgageable properties: 3.90  b	
` 6` 
Pl  Rank: 76/100   h   zvB	    333-	)~'}  	 s# L $ `? '  }?j   zvB	   -	)~'}  	 s# L $ `? '  4zJv, BPa-    d     0d} Pz 2r! BPY     d     #
<` 4zJ8	 BPaG@    d     0} Pz 5z@	` L=@    d     0} (zha` 6yUF68	 O#    d     }>zP	 +yPF6	`  333    -}~=C\ze4 `	` 0  
Pl  Dayton, OH  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 3.10  b	` 6` 
Pl  Rank: 68/100   b   r1`    333-l3?O|ϟ  ~ s y ? 	9H G @?d   r1`   -l3?O|ϟ  ~ s y ? 	9H G @4zJ`
  BPaL@    d     0	8} Pz 2r1@BPY    d     2
<` 4zJ" BPae    d     0} Pz 5z@4 L=Ad@    d     0	} (zha` 6yUF6"\ O3@    d     }>zP	 +yPF6t4  333    -}	`~=C\ze4 v	p p  
Pl  Dallas-Fort Worth-Arlington, TX  V	 P ( 
Pl     	C   !p   
Pl  REOs per 1,000 mortgageable properties: 2.90  b	"` 6` 
Pl  Rank: 64/100   h   #zĒ)	    333-~'}  	 s# L $ `? '  #?j   $zĒ)	   -~'}  	 s# L $ `? '  4%zJ] BPa,    d     02} Pz 2&r BPY    d     "
<` 4'zJ	~ BPaE    d     0} Pz 5(z@	. L=@    d     0} (zha` 6)yUF6	V O#(    d     }>zP	 +*yPF6q	.  333    -}Z~=C\ze4 b	+` = 
Pl  Columbus, OH  V	,P ( 
Pl     	C   -p   
Pl  REOs per 1,000 mortgageable properties: 2.88  b	.` 6` 
Pl  Rank: 63/100   h   /zJD  Ҁ 333-~'}  	 s# L $ `? '  /?j   0zJD   -~'}  	 s# L $ `? '  41zJ BPaC0    d     0} Pz 22r, BPYs@    d     .i
<` 43zJb BPa\    d     0} Pz 54z@ L=A@     d     0f} (zha` 65yUF6: O.    d     }>zP	 +6yPF6  333    -}>~=C\ze4 b	7` 9 
Pl  Columbia, SC  V	8P ( 
Pl     	C   9p   
Pl  REOs per 1,000 mortgageable properties: 1.96  b	:` 6` 
Pl  Rank: 45/100   b   ;r	$@   333-B&?O|ϟ  ~ s y ? 	9H G @;?d   <r	$@  -B&?O|ϟ  ~ s y ? 	9H G @4=zł BPY82     d     '} Pz 2>r	#BPH.    d     %
<` 4?zń~
< BPY8K    d     '	t} Pz 5@zŻ	 L=f @    d     '@} (zha` 6Ay~
 O>    d     	t}>zP	 +By	  333    -t~=C\ze4 k	Ch    Pl  Colorado Springs, CO  V	DP ( 
Pl     	C   Ep   
Pl  REOs per 1,000 mortgageable properties: 3.06  b	F` 6` 
Pl  Rank: 66/100   h   Gz,D    333-%~'}  	 s# L $ `? '  G?j   Hz,D   -%~'}  	 s# L $ `? '  4IzJ( BPa%    d     0`} Pz 2JrBPY    d     
<` 4KzJ BPa?     d     0} Pz 5Lz@\ L=@@    d     0} (zha` 6MyUF6 O    d     }>zP	 +NyPF6\  333    -}~=C\ze4 r	Oh    Pl  Cleveland-Elyria-Mentor, OH  V	PP ( 
Pl     	C   Qp   
Pl  REOs per 1,000 mortgageable properties: 3.25  b	R` 6` 
Pl  Rank: 71/100   h   Szqj
  Ҁ 333-	y~'}  	 s# L $ `? '  S?j   Tzqj
   -	y~'}  	 s# L $ `? '  4UzJ| BPa0     d     0} Pz 2Vr#  BPY'     d     $
<` 4WzJ`
  BPaI    d     0	8} Pz 5Xz@	 L=@    d     0} (zha` 6YyUF6`	 O%0    d     	8}>zP	 +ZyPF6	  333    -}~=C\ze4 v	[p   
Pl  Cincinnati-Middletown, OH-KY-IN  V	\P ( 
Pl     	C   ]p   
Pl  REOs per 1,000 mortgageable properties: 2.54  b	^` 6` 
Pl  Rank: 58/100   h   _y    333-C~'}  	 s# L $ `? '  _?j   `y   -C~'}  	 s# L $ `? '  4azJF BPa&p    d     0~} Pz 2br(BPY @    d      	
<` 4czJ BPa@    d     0} Pz 5dz@+z L=@     d     0} (zha` 6eyUF6 O X    d     }>zP	 +fyPF6z  333    -}~=C\ze4 z	gp 	V  
Pl  Chicago-Naperville-Joliet, IL-IN-WI  V	hP ( 
Pl     	C   ip   
Pl  REOs per 1,000 mortgageable properties: 4.32  b	j` 6` 
Pl  Rank: 78/100   h   kzlx:   333-~'}  	 s# L $ `? '  k?j   lzlx:   -~'}  	 s# L $ `? '  4mzJ BPaA     d     0} Pz 2nr+pBPYj    d     -Q
<` 4ozJn BPaZ    d     0T} Pz 5pz@ L=A7@    d     0 } (zha` 6qyUF6n O-    d     T}>zP	 +ryPF6  333    -}~=C\ze4 i	sh    Pl  Chattanooga, TN-GA  V	tP ( 
Pl     	C   up   
Pl  REOs per 1,000 mortgageable properties: 1.77  b	v` 6` 
Pl  Rank: 39/100   h   wzGP  Ҁ 333-E~'}  	 s# L $ `? '  w?j   xzGP   -E~'}  	 s# L $ `? '  4yzJH BPa>    d     0} Pz 2zr*0BPY`    d     ,
<` 4{zJF BPaX     d     0} Pz 5|z@| L=A-@    d     0} (zha` 6}yUF6F O,`    d     }>zP	 +~yPF6|  333    -}~=C\ze4 x	p 	  
Pl  Charlotte-Gastonia-Concord, NC-SC  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 2.28  b	` 6` 
Pl  Rank: 53/100   h   zX   333-g~'}  	 s# L $ `? '  ?j   zX   -g~'}  	 s# L $ `? '  4zJ	j BPaG    d     0} Pz 2r.BPY    d     0
<` 4zJ BPaa0    d     0&} Pz 5z@= L=AQ    d     0} (zha` 6yUF6 O0    d     &}>zP	 +yPF6)  333    -}~=C\ze4 	B   p   
Pl  Charleston-North Charleston-Summerville, SC  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 1.54  b	` 6` 
Pl  Rank: 28/100   h   zJDM  fw 333-?~'}  	 s# L $ `? '  ?j   zJDM   -?~'}  	 s# L $ `? '  4zJB BPaP    d     0z} Pz 2r|`BPY    d     
<` 4zJC BPa7    d     0} Pz 5z@v L=@    d     0} (zha` 6yUF6C OH    d     }>zP	 +yPF6v  333    -}~=C\ze4 p	h    Pl  Buffalo-Niagara Falls, NY  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 0.88  a	` 1` 
Pl  Rank: 4/100   h   zE    333-~'}  	 s# L $ `? '  ?j   zE    -~'}  	 s# L $ `? '  4zJT BPa    d     0 } Pz 2rvBPYԀ    d     
<` 4zJl BPa5     d     0} Pz 5z@| L=@@    d     0p} (zha` 6yUF6D O    d     }>zP	 +yPF6h  333    -}H~=C\ze4 u	p 	V  
Pl  Boston-Cambridge-Quincy, MA-NH  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 1.77  b	` 6` 
Pl  Rank: 38/100   ^   j:N    333-jw'{w= ~ s@I #0w Gop	? ?`   j:N   -jw'{w= ~ s@I #0w Gop	? 4z;DƁ6 BPIH    d     )} Pz 1j&00 BPQC4     d     fo 4z;DƂ0 BPIH3@    d     )h} Pz 5z;D^ L=&`    d     )4} (zha` 6x O.g    d     h}>zP	 +xJ  333    -v~=C\ze4 k	h    Pl  Boise City-Nampa, ID  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 3.58  b	` 6` 
Pl  Rank: 75/100   b   sd6 fw 333-8?O|ϟ  ~ s y ? 	9H G @?d   sd6  -8?O|ϟ  ~ s y ? 	9H G @4zJ, BPaU    d     0
d} Pz 2r5 BPY     d     7
<` 4zJ BPao@    d     0} Pz 5z@` L=A    d     0
} (zha` 6yUF6 O7    d     }>zP	 +yPF6
`  333    -}
~=C\ze4 f	h     Pl  Baton Rouge, LA  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 1.05  a	` 1` 
Pl  Rank: 8/100   b   p' M  333->*?O|ϟ  ~ s y ? 	9H G @?d   p'  ->*?O|ϟ  ~ s y ? 	9H G @4yDD% BPA(8    d     %} Pz 2p'8BPaH    d     ¼)
<` 4yDD BPA(R0    d     %
F} Pz 5yD:M
 L=    d     %} (zha` 6xR0
 O&    d     
F}>zP	 +xM09
  333    -r~=C\ze4 f	h    Pl  Bakersfield, CA  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 9.84  b	` 6` 
Pl  Rank: 94/100   b   rȌl6`   333-8?O|ϟ  ~ s y ? 	9H G @?d   rȌl6`   -8?O|ϟ  ~ s y ? 	9H G @4zJ @ BPaV@    d     0
x} Pz 2r6@BPY    d     7
<` 4zJ BPao    d     0} Pz 5z@(t L=A@    d     0
} (zha` 6yUF6 O8@    d     }>zP	 +yPF6t  333    -}
~=C\ze4 l	h    Pl  Austin-Round Rock, TX  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 1.71  b	` 6` 
Pl  Rank: 34/100   h   z<˅   333-[5~'}  	 s# L $ `? '  ?j   z<˅   -[5~'}  	 s# L $ `? '  4zJ	8 BPaF     d     0p} Pz 2r-BPY~    d     /
<` 4zJ BPa_    d     0} Pz 5z@$l L=AK@    d     0} (zha` 6yUF6 O0     d     }>zP	 +yPF6l  333    -}~=C\ze4 u	p 	B  
Pl  Augusta-Richmond County, GA-SC  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 1.64  b	` 6` 
Pl  Rank: 31/100   h   zĈ  M  333-5~'}  	 s# L $ `? '  ?j   zĈ   -5~'}  	 s# L $ `? '  4zJ	8 BPaF     d     0p} Pz 2r-BPY~    d     /
<` 4zJ BPa_    d     0} Pz 5z@$l L=AK@    d     0} (zha` 6yUF6 O0     d     }>zP	 +yPF6l  333    -}~=C\ze4 y	p 	  
Pl  Atlanta-Sandy Springs-Marietta, GA  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 6.27  b	` 6` 
Pl  Rank: 87/100   h   z{H  fw 333-U/~'}  	 s# L $ `? '  ?j   z{H   -U/~'}  	 s# L $ `? '  4zJ2 BPa%    d     0j} Pz 2r؋`BPY    d     
<` 4zJ BPa?p    d     0} Pz 5z@!f L=@ʀ    d     0} (zha` 6yUF6 O     d     }>zP	 +yPF6f  333    -}~=C\ze4 x	p 	  
Pl  Allentown-Bethlehem-Easton, PA-NJ  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 1.07  b	` 6` 
Pl  Rank: 10/100   b   q݈+  fw 333-H.-?O|ϟ  ~ s y ? 	9H G @?d   q݈+   -H.-?O|ϟ  ~ s y ? 	9H G @4z BPUP@    d     } Pz 2qӈ+H BP@i@    d     -)
<` 4zi BPUPZP    d     J} Pz 5 z} L=V6     d     } (zha` 6xsi O:Ե    d     J}>zP	 +xs  333    -~=C\ze4 f	h    Pl  Albuquerque, NM  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 1.23  b	` 6` 
Pl  Rank: 16/100   h   za/  fw 333-~'}  	 s# L $ `? '  ?j   za/   -~'}  	 s# L $ `? '  4	zJc BPap    d     0>} Pz 2
r(xBPY@    d     	
<` 4zJ% BPa6    d     0} Pz 5z@: L=@     d     0} (zha` 6yUF6%b OX    d     }>zP	 +yPF6w:  333    -}f~=C\ze4 r	p   
Pl  Albany-Schenectady-Troy, NY  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 0.61  a	` 1` 
Pl  Rank: 2/100   h   z.İ    333-$W~'}  	 s# L $ `? '  ?j   z.İ   -$W~'}  	 s# L $ `? '  4zJZ BPa'    d     0} Pz 2rxBPY    d      Y
<` 4zJ BPa@    d     0} Pz 5z@5 L=@π    d     0} (zha` 6yUF6 O     d     }>zP	 +yPF6!  333    -}~=C\ze4 _	` + 
Pl  Akron, OH  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 2.82  b	` 6` 
Pl  Rank: 61/100   h   zo2	  Ҁ 333-(~'}  	 s# L $ `? '  ?j    zo2	   -(~'}  	 s# L $ `? '  4!zJS BPa+p    d     0} Pz 2"r BPY@    d     "
<` 4#zJ	j BPaE    d     0} Pz 5$z@{	 L=@     d     0n} (zha` 6%yUF6	B O"    d     }>zP	 +&yPF6g	  333    -}F~=C\ze4 k	'h    Pl  Baltimore-Towson, MD  V	(P ( 
Pl     	C   )p   
Pl  REOs per 1,000 mortgageable properties: 2.29  b	*` 6` 
Pl  Rank: 54/100   h   +zuf   333-~'}  	 s# L $ `? '  +?j   ,zuf   -~'}  	 s# L $ `? '  4-zJ BPa"`    d     0} Pz 2.r BPY     d     
<` 4/zJH BPa<     d     0} Pz 50z@ L=@    d     0L} (zha` 61yUF6  OP    d     }>zP	 +2yPF6  333    -}$~=C\ze4 v	3p 	  
Pl  Bridgeport-Stamford-Norwalk, CT  V	4P ( 
Pl     	C   5p   
Pl  REOs per 1,000 mortgageable properties: 1.46  b	6` 6` 
Pl  Rank: 24/100   h   7zE}z>  Ҁ 333-~'}  	 s# L $ `? '  7?j   8zE}z>   -~'}  	 s# L $ `? '  49zJ BPa!     d     0} Pz 2:r BPY     d     a
<` 4;zJp  BPa:    d     0X} Pz 5<z@ L=@    d     0$} (zha` 6=yUF6p O    d     X}>zP	 +>yPF6  333    -}~=C\ze4 l	?h     Pl  New Haven-Milford, CT  V	@P ( 
Pl     	C   Ap   
Pl  REOs per 1,000 mortgageable properties: 2.22  b	B` 6` 
Pl  Rank: 52/100   b   Cqt(@  333-Ƥ ?O|ϟ  ~ s y ? 	9H G @C?d   Dqt(@  -Ƥ ?O|ϟ  ~ s y ? 	9H G @4Ezg2 BPN%    d     j} Pz 2Fqj؋`BPg#     d     "
<` 4Gzg BPN?p    d     } Pz 5Hzg!f L=<@ʀ    d     } (zha` 6IxE
 O4D     d     9}>zP	 +JxE
f  333    -%~=C\ze4 k	Kh    Pl  Ogden-Clearfield, UT  V	LP ( 
Pl     	C   Mp   
Pl  REOs per 1,000 mortgageable properties: 1.42  b	N` 6` 
Pl  Rank: 22/100   b   Op)   333-,%?O|ϟ  ~ s y ? 	9H G @O?d   Pp)  -,%?O|ϟ  ~ s y ? 	9H G @4Qy8f BP@`<    d     D} Pz 2RpR)@ BPY     d     +!
<` 4Sy8( BP@`V@    d     
} Pz 5Ty.@ L=%    d     } (zha` 6UxLD$(h O%    d     m
}>zP	 +VxGD$z@  333    -Yl~=C\ze4 w	Wp 	  
Pl  Oxnard-Thousand Oaks-Ventura, CA  V	XP ( 
Pl     	C   Yp   
Pl  REOs per 1,000 mortgageable properties: 4.24  b	Z` 6` 
Pl  Rank: 77/100   h   [zYE<    333-~'}  	 s# L $ `? '  	[?j   \zYE<   -~'}  	 s# L $ `? '  4]zJ- BPaY    d     0
} Pz 2^r7xBPY    d     9Y
<` 4_zJ BPar    d     0V} Pz 5`z@U L=A    d     0"} (zha` 6ayUF6 O9    d     V}>zP	 +byPF6A  333    -}
~=C\ze4 x	cp 	L  
Pl  Palm Bay-Melbourne-Titusville, FL  V	dP ( 
Pl     	C   ep   
Pl  REOs per 1,000 mortgageable properties: 3.45  b	f` 6` 
Pl  Rank: 74/100   h   gzfp*  fw 333-~'}  	 s# L $ `? '  g?j   hzfp*   -~'}  	 s# L $ `? '  4izJ BPa     d     0} Pz 2jr0BPY    d     
<` 4kzJf BPa:     d     0D} Pz 5lz@ L=@@    d     0} (zha` 6myUF6f O`    d     D}>zP	 +nyPF6  333    -}~=C\ze4 {	op r  
Pl  Poughkeepsie-Newburgh-Middletown, NY  V	pP ( 
Pl     	C   qp   
Pl  REOs per 1,000 mortgageable properties: 1.37  b	r` 6` 
Pl  Rank: 19/100   b   spB*@ M  333--=?O|ϟ  ~ s y ? 	9H G @s?d   tpB*@  --=?O|ϟ  ~ s y ? 	9H G @4uz{R BPD>    d     } Pz 2vp*X`BPa    d     H,9
<` 4wz{K BPDXp    d     } Pz 5xzq L=.    d     } (zha` 6yxdgK c)|     d     }zP +zx_g  333    -~=C\zd z	{p 
<  
Pl  Riverside-SanBernardino-Ontario, CA  V	|P ( 
Pl     	D   }p   
Pl  REOs per 1,000 mortgageable properties: 14.14  b	~` 6` 
Pl  Rank: 98/100   b   pa"   333-X%?O|ϟ  ~ s y ? 	9H G @?d   pa"  -X%?O|ϟ  ~ s y ? 	9H G @4y݄J BP{ @    d     } Pz 2pW"8BP1     d     $
<` 4y݄G	 BP{!     d     	} Pz 5y݄	~ L9     d     } (zha` 4pk"8`O#    d     &$i	a< )paȗ 333    -55Ǆ< y	p 	  
Pl  San Jose-Sunnyvale-Santa Clara, CA  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 4.51  b	` 6` 
Pl  Rank: 80/100   h   zEU
  Ҁ 333-n
~'}  	 s# L $ `? '  ?j   zEU
   -n
~'}  	 s# L $ `? '  4zJ BPa5     d     0T} Pz 2r% BPY;     d     'a
<` 4zJ
 BPaN    d     0	} Pz 5z@
P L=A    d     0} (zha` 6yUF6
x O'    d     	}>zP	 +yPF6
P  333    -}|~=C\ze4 	A   p D  
Pl  Virginia Beach-Norfolk-Newport News, VA-NC  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 2.08  b	` 6` 
Pl  Rank: 49/100   h   z*  Ҁ 333-~'}  	 s# L $ `? '  "?j   z*   -~'}  	 s# L $ `? '  4zJ^ BPa     d     04} Pz 2r x BPY     d     
<` 4zJ  BPa5    d     0} Pz 5z@0 L=@    d     0} (zha` 6yUF6 X O0    d     }>zP	 +yPF6r0  333    -}\~=C\ze4 d	h    Pl  Worcester, MA  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 2.19  b	` 6` 
Pl  Rank: 51/100   h   yDG    333-Rq~'}  	 s# L $ `? '  '?j   yDG   -Rq~'}  	 s# L $ `? '  4zJ	t BPaG    d     0} Pz 2r.πBPY     d     0
<` 4zJ BPaa    d     00} Pz 5z@B L=AR    d     0} (zha` 6yUF6 O1    d     0}>zP	 +yPF6.  333    -}~=C\ze4 l	h    Pl  Birmingham-Hoover, AL  V	P ( 
Pl     	C   p   
Pl  REOs per 1,000 mortgageable properties: 3.14  b	` 6` 
Pl  Rank: 69/100   h   x5	Z  fw 333-@~'}  	 s# L $ `? '  , h   x5

^   333-@~'}  	 s# L $ `? '  - h   x5
b  Ҁ 333-@~'}  	 s# L $ `? '  . h   x5	\    333-@~'}  	 s# L $ `? '  / h   x5`  M  333-@~'}  	 s# L $ `? '  0o	h    Pk      Strongest 20 metro areas  16 v	h    Pk      Second-strongest 20 metro areas  2F@l	h 8   Pk      Middle 20 metro areas  3Vt	h    Pk      Second-weakest 20 metro areas  4f m	h    Pk      Weakest 20 metro areas  5v`%ym+       }	z  6p	h    Pk  7i View the full rankings »  7_Q@p	h    Pk     View the full rankings »  	t   x    Pk      Average REOS per 1,000 mortgageable properties for the 100 largest metropolitan areas: 3.87   9	b   x    Pk      Average REOS per 1,000 mortgageable properties for the United States: 3.06  :l	h `   Pl     Top three metro areas  ;]!+`%ym	o       V} z߁ <e	` 5 	`Pk  7i 1. Syracuse, NY  =_Q8e	` 5 	`Pk     1. Syracuse, NY  %ykar       }	8z! ?u	h    Pk  7i 2. Albany-Schenectady-Troy, NY  @_Au	h    Pk     2. Albany-Schenectady-Troy, NY  %yk-
 D       x}fzi` Bq	h    Pk  7i 3. Harrisburg-Carlisle, PA  C_Lq	h    Pk     3. Harrisburg-Carlisle, PA  o	h     Pl     Bottom three metro areas  E\1Z%ymP       }	zQ Fr	h P   Pk  7i 100. Las Vegas-Paradise, NV  G_Qr	h P   Pk     100. Las Vegas-Paradise, NV  %ynDY       *}z If	` 7 	`Pk  7i 99. Stockton, CA  J_u f	` 7 	`Pk     99. Stockton, CA  %ynE8       l}	zّ` L	?   p   	`Pk  7i 98. Riverside-San Bernardino-Ontario, CA  M_k	?   p   	`Pk     98. Riverside-San Bernardino-Ontario, CA  o	h    Pk      Source: McDash Analytics  OA    Q    Q      A Z   [   \   ]   ^   _   `a@  aah  	ba  
ca       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/youngstown_oh_metro_profile.pdf self      R   R        [   \   ]   ^   _   `   a΀ b c dF      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/wichita_ks_metro_profile.pdf self      S   S      0 \   ]   ^   _   `   a   bw   c  !d  "e       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/washington_dc_metro_profile.pdf self      #T   $T      b %]   &^   '_   (`   )a   *b   +c  ,d+  -eS  .f{       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/tulsa_ok_metro_profile.pdf self      /U   0U      Bg@ 1^   2_   3`   4a   5b   6c   7ddb  8ed  9fd  :gd       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/tucson_az_metro_profile.pdf self      ;V   <V       =_   >`   ?a   @b   Ac   Bd   Ce;  Dfc  Eg  Fh       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/toledo_oh_metro_profile.pdf self      GW   HW      ) I`   Ja   Kb   Lc   Md   Ne   Of  Pg  QhC  Rik       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/tampa_fl_metro_profile.pdf self      SX   TX      ) Ua   Vb   Wc   Xd   Ye   Zf   [g  \h  ]i@  ^jh       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/syracuse_ny_metro_profile.pdf self      _Y   `Y       ab   bc   cd   de   ef   fg   ghU  hiU^  ijU  jkU       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/stockton_ca_metro_profile.pdf self      kZ   lZ      B mc   nd   oe   pf   qg   rh   si tjӀ uk vl#      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/st_louis_mo_metro_profile.pdf self      w[   x[      a yd   ze   {f   |g   }h   ~i   j  k"  lJ  mr       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/springfield_ma_metro_profile.pdf self     } \   \        e   f   g   h   i   j   kp l mp n
      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/seattle_wa_metro_profile.pdf self      ]   ]        f   g   h   i   j   k   l mG no o      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/scranton_pa_metro_profile.pdf self      ^   ^      )0 g   h   i   j   k   l   m  n/  oW  p       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/bradenton_fl_metro_profile.PDF self      _   _       h   i   j   k   l   m   nF  oFT  pF  qF       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/san_francisco_ca_metro_profile.pdf self      `   `      ⁀ i   j   k   l   m   n   o:- p:U q:} r:¥      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/san_diego_ca_metro_profile.pdf self      a   a      +@ j   k   l   m   n   o   p  q  r*  sR       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/san_antonio_tx_metro_profile.pdf self      b   b       k   l   m   n   o   p   q  r  s^  t       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/salt_lake_city_ut_metro_profile.pdf self      c   c       l   m   n   o   p   q   rUn  sU  tU  uUN       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/sacramento_ca_metro_profile.pdf self      d   d       m   n   o   p   q   r   s t uB vj      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/rochester_ny_metro_profile.pdf self      e   e      @ n   o   p   q   r   s   t u΀ v w      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/richmond_va_metro_profile.pdf self      f   f      A o   p   q    r   s   t   u v
 w2 xZ      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/raleigh_nc_metro_profile.pdf self      g   g      " 	p   
q   r   s   t   u   vԅn  wԆ  xԆ  yԇN       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/provo_ut_metro_profile.pdf self      h   h       q   r   s   t   u   v   w  x"  yJ  zr       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/providence_ri_metro_profile.pdf self     } i    i      Eq  !r   "s   #t   $u   %v   &w   'x (y
  )z *{       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/portland_or_metro_profile.pdf self      +j   ,j       -s   .t   /u   0v   1w   2x   3y  4z  5{	  6|1       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/portland_me_metro_profile.pdf self      7k   8k       9t   :u   ;v   <w   =x   >y   ?zT  @{|  A|  B}       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/pittsburgh_pa_metro_profile.pdf self      Cl   Dl      @ Eu   Fv   Gw   Hx   Iy   Jz   K{^b0  L|^bX  M}^b  N~^b       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/phoenix_az_metro_profile.pdf self      Om   Pm      Y Qv   Rw   Sx   Ty   Uz   V{   W|L X}t Y~ ZĀ      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/philadelphia_pa_metro_profile.pdf self      [n   \n      q ]w   ^x   _y   `z   a{   b|   c}  d~  e*  fR       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/orlando_fl_metro_profile.pdf self      go   ho       ix   jy   kz   l{   m|   n}   o~[ p q rӀ      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/omaha_ne_metro_profile.pdf self      sp   tp       uy   vz   w{   x|   y}   z~   {  |?  }g  ~       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/oklahoma_city_ok_metro_profile.pdf self      q   q       z   {   |   }   ~      1  Y           http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/new_york_ny_metro_profile.pdf self      r   r      "6 {   |   }   ~         À   ;      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/new_orleans_la_metro_profile.pdf self      s   s       |   }   ~                D  l       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/nashville_tn_metro_profile.pdf self      t   t      b@ }   ~               W  W  W0  W       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/modesto_ca_metro_profile.pdf self      u   u      ' ~                    	  1  Y       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/minneapolis_mn_metro_profile.pdf self      v   v      @                     @  h         http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/milwaukee_wi_metro_profile.pdf self      w   w      y0                   /  W           http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/miami_fl_metro_profile.pdf self      x   x                           F n       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/memphis_tn_metro_profile.pdf self      y   y      }`                   CE Cm C C      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/mcallen_tx_metro_profile.pdf self      z   z                           B j       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/madison_wi_metro_profile.pdf self      {   {      I                      ؀   (      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/louisville_ky_metro_profile.pdf self      |   |      沚             	   
   jG  5"# 5"K 5"s      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/los_angeles_ca_metro_profile.pdf self      }   }                         - U }       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/little_rock_ar_metro_profile.pdf self       ~   ~      ڂ@              !   "   #0  $  %M  &MD       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/las_vegas_nv_metro_profile.pdf self      '   (      aP )   *   +   ,   -   .   /  0  1>  2f       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/lakeland_fl_metro_profile.pdf self      3   4       5   6   7   8   9   :   ; < =A >i      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/knoxville_tn_metro_profile.pdf self      ?   @      ǀ A   B   C   D   E   F   G Hɀ I J      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/kansas_city_mo_metro_profile.pdf self      K   L        M   N   O   P   Q   R   S TȀ U V      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/jacksonville_fl_metro_profile.pdf self      W   X      \  Y   Z   [   \   ]   ^   _x ` aȀ b      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/jackson_ms_metro_profile.pdf self      c   d      a@ e   f   g   h   i   j   k~ l m΀ n      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/indianapolis_in_metro_profile.pdf self      o   p      /  q   r   s   t   u   v   wҀ x y" zJ      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/houston_tx_metro_profile.pdf self      {   |      *  }   ~               rb܀ rc rc, rcT      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/honolulu_hi_metro_profile.PDF self     	          @                    . V ~      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/hartford_ct_metro_profile.PDF self     
          )                   L t  Ā      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/harrisburg_pa_metro_profile.PDF self               	                     :  b         http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/greenville_sc_metro_profile.PDF self               !                       0  X       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/greensboro_nc_metro_profile.PDF self               a`                    = e       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/grand_rapids_mi_metro_profile.PDF self                                   br  b  bǲ  1b      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/fresno_ca_metro_profile.PDF self                                    C  k         http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/cape_coral_fl_metro_profile.PDF self               Y                   }  ̀       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/el_paso_tx_metro_profile.PDF self               Q                     G o       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/detroit_mi_metro_profile.PDF self                                  O  w           http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/des_moines_ia_metro_profile.PDF self                                       	  
       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/denver_co_metro_profile.PDF self               A                   y  ɀ       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/dayton_oh_metro_profile.PDF self               2a                    n   ! "      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/dallas_tx_metro_profile.PDF self      #   $      p %   &   '   (   )   *   +m  ,  -  .       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/columbus_oh_metro_profile.PDF self      /   0      9P 1   2   3   4   5   6   7&  8N  9v  :       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/columbia_sc_metro_profile.PDF self      ;   <        =   >   ?   @   A   B   C DĀ E F      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/colorado_co_metro_profile.PDF self      G   H        I   J   K   L   M   N   O8 P` Q R      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/cleveland_oh_metro_profile.PDF self      S   T      ` U   V   W   X   Y   Z   [ \ ]݀ ^      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/cincinnati_oh_metro_profile.PDF self      _   `      @ a   b   c   d   e   f   g@  hh  i  j       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/chicago_il_metro_profile.PDF self      k   l      ᣀ m   n   o   p   q   r   s t< ud v      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/chattanooga_tn_metro_profile.PDF self      w   x        y   z   {   |   }   ~     ( P x      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/charlotte_nc_metro_profile.PDF self                                  I  q           http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/charleston_sc_metro_profile.PDF self               90                     '  O  w       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/buffalo_ny_metro_profile.PDF self                Y                      8 `      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/boston_ma_metro_profile.PDF self     !          Į                    f      F       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/boise_city_id_metro_profile.PDF self     "          2;                     	 1      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/baton_rouge_la_metro_profile.PDF self     #          碯                   fD  f  3B!  3BI       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/bakersfield_ca_metro_profile.PDF self     $          9                       6      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/austin_tx_metro_profile.PDF self     %                             < d        http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/augusta_ga_metro_profile.PDF self     &          )                   < d        http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/atlanta_ga_metro_profile.PDF self     '          !                   ;  c           http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/allentown_pa_metro_profile.PDF self     (          R@                      :  b         http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/albuquerque_nm_metro_profile.PDF self     )           	   
                   @  h       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/albany_ny_metro_profile.PDF self     *          p                   E  m           http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/akron_oh_metro_profile.PDF self     +            !   "   #   $   %   &   'h  (  )  *       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/baltimore_md_metro_profile.PDF self     , +   ,      Q  -   .   /   0   1   2   3 4G 5o 6      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/bridgeport_ct_metro_profile.PDF self     - 7   8      ` 9   :   ;   <   =   >   ? @= Ae B      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/new_haven_ct_metro_profile.pdf self     . C   D      r E   F   G   H   I   J   KD  LE  MF,  NF       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/ogden_ut_metro_profile.pdf self     / O   P      2 Q   R   S   T   U   V   W`G  X0" Y0"A Z0"i      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/oxnard_ca_metro_profile.pdf self     0 [   \      Yp ]   ^   _   `   a   b   c  d  e%  fM       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/palm_bay_fl_metro_profile.pdf self     1 g   h      A  i   j   k   l   m   n   o p8 q` r      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/poughkeepsie_ny_metro_profile.pdf self     2 s   t      B u   v   w   x   y   z   {<  |<+  }<S  ~<{       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/riverside_ca_metro_profile.pdf self     3                             I  IƤ  ID  I       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/san_jose_ca_metro_profile.pdf self     4          Y`                    ݀  -      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/virginia_beach_va_metro_profile.pdf self     5          q`                     = e      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/worcester_ma_metro_profile.pdf self     6          9                   K s  À      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/birmingham_al_metro_profile.PDF self      7"    _Q@ _Q@     m http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_ranks/reo_ranking_table.pdf self      8"    _Q8 _Q8      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/syracuse_ny_metro_profile.pdf self      9"    _A _A      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/albany_ny_metro_profile.PDF self      :"    _L _L      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/harrisburg_pa_metro_profile.PDF self      ;"    _Q _Q      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/las_vegas_nv_metro_profile.pdf self      <"    _u  _u       http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/stockton_ca_metro_profile.pdf self      ="    _k _k      http://www.brookings.edu/%7e/media/Files/Programs/Metro/metro_monitor/metro_profiles/06_metro_profiles/riverside_ca_metro_profile.pdf self    	
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