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Calgary, July 4, 2007 – Calgary’s
) @: X" O: A4 n) |' v: y; ?Metro MLS® month end inventory
5 [7 e0 {3 G y! K: g pfor the month of June 2007 was$ G* M8 `0 ]9 s0 V% f4 k. M" r
5,819, showing the highest level
! @; P# Q4 e; Crecorded this year, according to
) K7 g+ N" L( w. o- ^figures released by the Calgary Real& B# P% m0 o$ ~9 D
Estate Board (CREB®)., W6 `" T8 `3 N) Y. J' x
Single family Calgary metro new
, ]+ I; ` g4 N3 @listings added for the month of June5 h% {9 M2 g; U" {0 \ d Z
totaled, 3,315, a 20.24 per cent
0 x) {4 E4 t* i3 H8 u. q( Cincrease over the 2,757 new listings
" k- g2 f! j- n1 Padded in June 2006. This is a decrease
! `# O: x h2 O$ I. N: h6 F, O3 d9 v+ tof 9.23 per cent over the 3,652 new
4 r: V7 x. }2 @8 ?3 a8 H1 L0 z! k' Ylistings added in May 2007.8 q; d/ r4 C9 G
Single family Calgary metro
# p9 M7 J5 t$ n' Y& P' F- s0 wproperties changing hands in June; Q$ y' j z$ w n* }' F
were 1,756, an increase of 21.10 per
/ r3 F, @( V. o5 i6 Z9 e+ Lcent from the 1,450 recorded in June( h- P" `, ]! L( U
2006 and a decrease of 12 per cent
, e; z' M F; _) J$ G* C* p. w6 Ffrom the 1,995 sales recorded last' J4 e, C* g1 y$ a5 B4 ] @. O+ y
month.
' A+ Z5 F# O6 t& lThe median price of a single family
3 h% \( k# ~" a) aCalgary metro home in June 2007
0 u9 I; P0 d: |" q, G( V9 }3 N7 ?& dwas $438,000 showing a 13.53 per7 _: I1 c# g u; A0 K
cent increase over June 2006, when
+ ]) C/ ~+ U3 cthe median price was $385,800 and( A9 A+ I$ A& x7 {& @# U; ~
showing a 0.69 per cent increase from/ Z0 O/ c( L- y1 w
last month when the median price5 N* ?0 ?; {0 o2 _
was $435,000. All Calgary Metro1 a) L' y! y# y' o
MLS® statistics include properties9 D. S! h4 {& D I
listed and sold only within Calgary’s
/ j5 _5 _# n) D1 o9 e; W( v& RCity limits.
7 q5 K2 {3 W% B( D6 w& BThe Calgary metro Condominium; O( o _: u. G3 W. B
market showed a slight decline in, p/ h' Y V+ H$ a* l
June with new listings added totaling! [6 T- s$ h1 v/ [+ d
1,252, an increase of 15.18 per cent
" @ ]% b/ [+ C6 m$ Hfrom June 2006, when the new( P: r* A. @# x' h
listings added were 1,087. This is a
1 c2 f0 D+ f0 [# W* D6 per cent decrease from last month; W! c- l- y! z) P- D
when new listings added were 1,332.- i% ?- J( B0 s
Calgary metro Condominium sales) o% E, v) e7 ]) C
in June 2007 were 793, a decrease of
9 P7 A4 Z9 F6 n9.37 per cent form June 2006, when0 n7 Z6 y* ~6 N) e2 {7 ^# ^
the sales were recorded as 875 and9 O! J! R. z- I+ v& |
a 10.60 per cent decrease form last
* {; i5 Q- r2 L& s6 w4 i; Hmonth’s sales of 887.& m# F* t8 j. u9 {, q
“With these high levels of inventory,+ u0 {& e# t# P: ^# k9 C" O9 P4 _
we are seeing a shift to a normal
6 L+ m* k0 l5 f8 Pmarket,” says Calgary Real Estate
8 o; L6 R# C9 zBoard President, Ron Stanners.
4 e8 O3 |! L' o+ g% b8 R“With this shift, it is more important
2 R& M ~# y9 [than ever to price your home
, O) P( H, |# }& V- J! @9 ]% v; Bcompetitively, as buyers have more
- i7 x" I$ X0 U% i$ I& T' Y* Nselection to choose from.”: O9 U; z+ P: H' m( q( H$ |/ G) c
The average price of a single family
5 `+ w9 x* }/ ?! G! _Calgary metro home in June 2007' s- F- s' [# y; r3 K8 |: |0 E) T" v
was $496,459, and the average# h7 \; O" U8 h. q
price of a metro condominium was
* j/ c5 k, K( h, C, I4 I5 z$323,171. Average price information; [$ {4 L: ]$ o8 l, O" p& u
can be useful in establishing trends
1 c5 e: V, ?7 V! U6 Kover time, but does not indicate/ z, i& L9 y6 Z# s) f9 h
actual prices in centres comprised$ }( h" m/ N4 c" e
of widely divergent neighbourhoods1 F& B4 T4 g/ n: |8 Z3 [' k2 j' v0 ^
or account for price differentials
7 t2 f: [. ?! \between geographical areas.
) K6 P2 ?7 E% P8 ?: p" E) M" OINVENTORY LEVEL HIGHEST THIS YEAR
* r, O% `* R$ j" N5 a* u2007 2006 Mth Chg **YTD 2007 **YTD 2006 YTD Chg
. E9 ^+ J& ]" o8 }$ X- wSINGLE FAMILY(Calgary Metro)0 E/ Y$ I' W: ?$ ~1 E+ A/ H( Q
Month End Inventory 4,393 n/a n/a n/a n/a n/a
, C4 r% O! G2 Y- \: }# g! t* xNew Listings added 3,315 2,757 20.24% 17,726 13,643 29.93%% n! E6 }8 i" B, |. E) W1 p
Sales 1,756 1,948 -9.86% 11,525 11,326 1.76%
/ o' J# ?) `! t1 L1 P2 p" QAvg DOM 29 15 93.33% 28 16 75.00%
# ~) A% z/ F! T1 q0 z4 q% ~/ i0 O% `& aAverage Sale Price 496,459 424,585 16.93% 471,150 387,691 21.53%
# K! w) W4 _1 }+ e; kMedian Price 438,000 385,800 13.53% 422,000 350,000 20.57%! H+ \& Z$ X& H9 d
CONDOMINIUM (Calgary Metro)" Q8 A! P7 D$ u2 A! P
Month End Inventory 1,426 n/a n/a n/a n/a n/a
4 Z2 z s8 n" y& {New Listings added 1,252 1,087 15.18% 6,883 5,301 29.84%
, t$ E* f n' _* D# ?2 m$ KSales 793 875 -9.37% 5,172 4,798 7.79%3 y3 L' k+ I* a9 _8 D' S
Avg DOM 28 12 133.33% 27 16 68.75%
" G# G! O$ N' NAverage Sale Price 323,171 281,176 14.94% 314,811 248,395 26.74%0 C- K- b" L3 M1 s5 l" D
Median Price 304,900 259,900 17.31% 294,000 230,000 27.83%
' e& _6 M7 }4 t0 Y5 J+ n0 hTOWNS (outside Calgary)0 W+ G( K2 h9 L1 X5 V
Month End Inventory 1,523 n/a n/a n/a n/a n/a
* }9 J" [* G7 i; k$ t# Y* [, UNew Listings added 945 679 39.18% 4,800 3,338 43.80%; C& q& k+ [, g& m% k
Sales 484 526 -7.98% 3,140 2,985 5.19%& \1 V! j% u3 Q+ n; O
Avg DOM 38 29 31.03% 40 38 5.26%' z4 ^0 l9 F- G
Average Sale Price 363,619 311,533 16.72% 364,028 276,677 31.57%
% N' Q* a! ]. O3 `: r$ s4 b! }9 aMedian Price 344,000 286,400 20.11% 340,000 249,900 36.05%% h+ A( ]: R. @0 z/ |4 Y
COUNTRY RESIDENTIAL(Acreages)
% d) E0 e n. \8 I& l- D/ mMonth End Inventory 668 339 97.05% n/a n/a n/a
& t% ?0 a# v* `5 d* BNew Listings added 276 192 43.75% 1,187 949 25.08%
8 l$ k9 J& b. m% t( ?8 I( c0 ]3 ZSales 91 113 -19.47% 469 635 -26.14%
' R: s, b. [# ]& ^: i4 M- QAvg DOM 59 58 1.72% 63 61 3.28%( n" f: ]; ~) ^# U# h- m# n8 n% ~
Average Sale Price 950,997 704,891 34.91% 830,965 686,600 21.03%; q, W% K0 K* d/ v
Median Price 825,000 580,000 42.24% 755,000 585,000 29.06%
$ n/ k( c8 ^/ ~# t* o. E. lRURAL LAND
: q$ B3 S- ?! S$ b) tMonth End Inventory 380 257 47.86% n/a n/a n/a
; ^- O1 [- W: t |6 v# l3 [) ~. tNew Listings added 153 118 29.66% 574 118 386.44%
% e& u# |8 n) ~& nSales 42 42 0.00% 224 249 -10.04%
2 q3 { O2 Z* Z$ w% o* QAvg DOM 99 104 -4.81% 97 117 -17.09%# v& C" ^+ W! M: H
Average Sale Price 568,657 453,340 25.44% 547,613 440,013 24.45%
# n1 N5 a F$ `/ _* I. y+ s. ?Median Price 381,600 325,000 17.42% 365,000 275,000 32.73%
) y B2 t5 Q3 L' I) `3 X$ @TOTAL MLS*7 N7 `: Z# o& f
Month End Inventory 8,606 3,130 174.95% n/a n/a n/a
' t' ^. K! |8 x xNew Listings added 5,973 4,865 22.77% 5,973 4,865 22.77%2 W" Z/ K' l8 a' R
Sales 3,189 3,526 -9.56% 20,639 3,526 485.34%
0 h& x9 s' t+ J: y8 T, n. @, z! Y. TAvg DOM 32 19 68.42% 31 22 40.91%5 K7 s, k. ?9 F, @
Average Sale Price 444,015 379,148 17.11% 422,542 346,194 22.05%
2 E- N c* |: X$ nMedian Price 388,000 335,000 15.82% 376,500 303,000 24.26%$ U8 i6 Q5 N3 w
CALGARY REAL ESTATE BOARD
5 q" _: s7 u0 W1 U; O9 X) V8 }STATISTICS FOR JUNE 2007, v7 |- U" c) H; _) I( k; A
*Total MLS includes Mobile Listings' r" F2 e& V4 k& K
**Year-to-date values in the monthly statistics package will accurately reflect our database at that specific point in time.& x: I1 X' T) ]5 T1 T
SINGLE FAMILY
" w! `7 v* q1 B% ~7 X0 - 99,999 1 0.06% 1 0.01% - 0.00% 5 0.04%2 T* n: q4 |8 ?
100,000 - 199,999 - 0.00% 1 7 0.15% 18 0.92% 5 16 4.56%
/ \1 E. o/ h J200,000 - 299,999 5 4 3.07% 6 62 5.74% 3 39 17.40% 3 ,114 27.49%
5 a+ ^& u+ X) @8 u300,000 - 349,999 2 19 12.46% 1 ,728 14.99% 3 56 18.28% 2 ,027 17.90%
! m- [/ u- h+ W2 ~0 x0 Q7 D350,000 - 399,999 3 71 21.10% 2 ,416 20.96% 3 64 18.69% 1 ,835 16.20%) ~! a5 W- p& @
400,000 - 449,999 3 11 17.69% 2 ,093 18.16% 2 88 14.78% 1 ,326 11.71%) z; B8 x" ^( f4 I& `9 _
450,000 - 499,999 2 22 12.63% 1 ,494 12.96% 2 17 11.14% 8 04 7.10%
* O" _( {( n% W. y500,000 - 549,999 1 66 9.44% 9 08 7.88% 1 12 5.75% 4 80 4.24%1 @+ v8 X, l6 Z/ V/ Z
550,000 - 599,999 1 08 6.14% 6 29 5.46% 6 7 3.44% 3 44 3.04%/ [( O- w% [3 A- I$ x. n$ l
600,000 - 649,999 7 4 4.21% 3 97 3.44% 4 5 2.31% 2 16 1.91%& X r; p9 R3 U4 Q- k l- _* l6 t
650,000 - 699,999 4 8 2.73% 2 70 2.34% 4 9 2.52% 1 62 1.43%# q; U, n8 S" y' p/ x5 ^- F
700,000 - 799,999 6 1 3.47% 3 56 3.09% 3 3 1.69% 1 66 1.47%
6 _$ q+ O# M! B& J& M9 J800,000 - 899,999 5 1 2.90% 2 03 1.76% 1 7 0.87% 9 2 0.81%
2 S4 G: H- W# F' v5 k900,000 - 999,999 2 8 1.59% 1 01 0.88% 1 0 0.51% 5 8 0.51%
! P M/ ?; D% i+ fOVER 1,000,000 4 4 2.50% 2 52 2.19% 3 3 1.69% 1 81 1.60%
! P% I4 [0 ?1 F/ U0 L* T3 @+ E1,758 1 1,527 1 ,948 1 1,326
6 l) _ |9 \4 m) N0 UCONDO% d3 E$ E0 f( R4 [3 T% o, I5 b
0 - 99,999 - 0.00% 1 0.02% 1 0.11% 2 5 0.52%& v' S: y# [$ F- a- K. u
100,000 - 199,999 2 8 3.53% 1 89 3.65% 105 12.00% 1 ,627 33.91%! s: Q" p, } c2 ^7 V. ?+ h& z7 M
200,000 - 299,999 3 47 43.76% 2 ,590 50.08% 5 20 59.43% 2 ,221 46.29%! ^: \( j( s% \3 E3 K: Z! u
300,000 - 349,999 2 09 26.36% 1 ,162 22.47% 1 23 14.06% 4 60 9.59%
# {9 z( Z4 z& d6 c3 \5 w350,000 - 399,999 9 9 12.48% 5 75 11.12% 6 0 6.86% 1 98 4.13%
$ O/ H% `/ e4 r4 P, e! l( `1 B400,000 - 449,999 4 8 6.05% 2 75 5.32% 1 8 2.06% 8 8 1.83%
4 e+ e' G& t5 g5 l, A450,000 - 499,999 2 5 3.15% 1 46 2.82% 1 2 1.37% 4 6 0.96%8 [/ U: B( i3 c: R8 s& L: B l
500,000 - 549,999 1 4 1.77% 7 8 1.51% 15 1.71% 4 5 0.94%% ^' Y+ X2 H) }% E( C
550,000 - 599,999 9 1.13% 4 9 0.95% 6 0.69% 1 7 0.35%$ s! A( g& Y; `
600,000 - 649,999 1 0.13% 2 5 0.48% 3 0.34% 1 5 0.31% J5 o" | v0 n0 \7 Z. z4 h, A
650,000 - 699,999 5 0.63% 3 0 0.58% 5 0.57% 1 3 0.27%
( i9 {5 ^1 w$ X! M# O700,000 - 799,999 4 0.50% 2 4 0.46% 3 0.34% 1 6 0.33%3 M, i% f P- h8 d
800,000 - 899,999 - 0.00% 9 0.17% 2 0.23% 1 5 0.31%
" q' O" m% a( ^6 n7 C4 o& d900,000 - 999,999 - 0.00% 5 0.10% 1 0.11% 1 0.02%2 h, U' C3 d& }- k
OVER 1,000,000 4 0.50% 1 4 0.27% 1 0.11% 1 1 0.23%
0 ]0 ?9 K/ g1 J. f793 5 ,172 8 75 4 ,798
% [3 p. T( J+ K+ f. u! P+ b0 E**Year-to-date values in the monthly statistics package will accurately reflect our database at that specific point in time. Older monthly statistics will
7 v) J. j+ U* U0 Q. z8 mnot reflect up-to-date changes that naturally occur.”, b' h, V ~6 a$ y% a5 T$ }% x' B( W7 s
Month **Y.T.D. Month **Y.T.D.
5 p. X7 Q6 n; o, \; Q0 o3 g, CCALGARY REAL ESTATE BOARD
# J' A* q0 a' Y/ L7 _! @CALGARY METRO BY PRICE CATEGORY( U* E- ]7 d# @ ]; y
Jun-07 Jun-066 O; H, |4 k4 y @: V' x& ] D
JUNE 2007
) E; A, u0 C& i3 CTOWNS
# C9 L1 w3 x9 T8 A0 - 99,999 6 1.63% 5 8 2.40% 33 8.35% 2 02 8.57%
+ z, y+ P, b: r, E# K5 P) Q100,000 - 199,999 3 2 8.72% 1 73 7.17% 5 4 13.67% 4 39 18.63%2 E- U, g4 O3 W8 L2 \ w" i$ \8 ?& d! h
200,000 - 299,999 6 3 17.17% 4 12 17.07% 9 2 23.29% 7 89 33.47%' N+ @* F% S7 D9 ~
300,000 - 349,999 6 3 17.17% 4 43 18.36% 7 2 18.23% 3 21 13.62% B; ]* S, r1 M0 N
350,000 - 399,999 7 8 21.25% 4 87 20.18% 5 4 13.67% 2 43 10.31%; e% y9 x" r/ g7 C# k
400,000 - 449,999 4 8 13.08% 3 19 13.22% 3 1 7.85% 1 32 5.60%
( e7 S* b q; R& b# \# d% ~6 ?450,000 - 499,999 2 9 7.90% 1 96 8.12% 1 8 4.56% 6 8 2.89%
: R" T I8 F. D6 r! e! x500,000 - 549,999 2 0 5.45% 1 00 4.14% 1 1 2.78% 3 8 1.61%
* f E2 Y! U, `: V/ e550,000 - 599,999 8 2.18% 6 0 2.49% 4 1.01% 2 4 1.02%+ g" y6 c* l+ J5 Z1 }9 J3 i6 h
600,000 - 649,999 6 1.63% 4 0 1.66% 4 1.01% 1 8 0.76%* t; u2 D1 F2 a# e! n
650,000 - 699,999 3 0.82% 3 4 1.41% 8 2.03% 2 0 0.85%
$ e. o4 Y# P( p+ N' E7 _7 r700,000 - 799,999 2 0.54% 2 3 0.95% 2 0.51% 2 0 0.85%# r Q) z9 }5 A- F, }9 J, p
800,000 - 899,999 1 0.27% 1 9 0.79% 6 1.52% 1 8 0.76%
: b. [2 X9 K5 ^900,000 - 999,999 1 0.27% 1 1 0.46% 1 0.25% 5 0.21%
; q+ ^9 [' l" ^7 a2 COVER 1,000,000 7 1.91% 3 8 1.57% 5 1.27% 2 0 0.85%/ {, m% O4 D. y& c
367 2 ,413 3 95 2 ,357
' }% n H% N3 d9 OCOUNTRY RESIDENTIAL (ACREAGES)
, g+ R4 T1 o: d8 @% [, d5 |0 - 99,999 2 1.50% 1 7 2.45% 5 3.23% 4 5 5.09%
* e4 R: [+ W. `7 R t100,000 - 199,999 1 3 9.77% 3 8 5.48% 11 7.10% 8 3 9.39%; N2 D% d ~0 ^, ~
200,000 - 299,999 3 2.26% 4 5 6.49% 24 15.48% 1 29 14.59%; |( x5 Q6 j5 s8 K
300,000 - 349,999 9 6.77% 5 0 7.22% 10 6.45% 3 8 4.30%" C: u! x8 E. N, |7 @% u. E
350,000 - 399,999 5 3.76% 5 9 8.51% 11 7.10% 4 7 5.32%
2 R8 h7 E8 m! D2 k. g. P3 Y400,000 - 449,999 3 2.26% 3 0 4.33% 10 6.45% 3 5 3.96%( z# T% l: _+ c# d# @. H
450,000 - 499,999 1 2 9.02% 4 7 6.78% 11 7.10% 5 3 6.00% m+ y& a% M: K$ A3 C7 I* {& ^$ ?
500,000 - 549,999 6 4.51% 2 5 3.61% 5 3.23% 3 9 4.41%
" U* ?% \8 Q0 g; r, {' O- ?550,000 - 599,999 7 5.26% 2 5 3.61% 5 3.23% 5 0 5.66%
2 n9 `( M( f, B9 ]' R2 h600,000 - 649,999 4 3.01% 2 4 3.46% 9 5.81% 4 2 4.75%
+ J [: h& j4 F8 {650,000 - 699,999 5 3.76% 3 2 4.62% 9 5.81% 5 0 5.66%7 u5 j( r! O: z {
700,000 - 799,999 1 4 10.53% 6 3 9.09% 14 9.03% 7 1 8.03%
7 X2 U! G# t7 p/ }& s* ]8 g! M+ }" s800,000 - 899,999 7 5.26% 5 3 7.65% 9 5.81% 4 0 4.52%
. M$ G* S$ X$ G0 c3 d900,000 - 999,999 1 0 7.52% 4 4 6.35% 5 3.23% 4 6 5.20%
" i% z$ L6 F% S! OOVER 1,000,000 3 3 24.81% 1 41 20.35% 1 7 10.97% 1 16 13.12%, B9 R' ^* `' U( {, o
133 6 93 1 55 8 84
! Q2 L X$ S' I! vMonth **Y.T.D. Month **Y.T.D.
- u' ^2 H' Q# y7 j**Year-to-date values in the monthly statistics package will accurately reflect our database at that specific point in time. Older monthly statistics will) x2 e& Z9 _: }6 y2 S& V
not reflect up-to-date changes that naturally occur.”* |/ A4 A9 r5 n [" C
CALGARY REAL ESTATE BOARD
7 i1 E8 H/ v( W1 k% D& n3 n1 e/ bTOWN AND COUNTRY BY PRICE CATEGORY
1 I. ^! C0 G7 ~& H9 _8 `Jun-07
- V7 v. T( B! l2 O4 z" w0 ^# VJun-07 Jun-06
9 ?" a0 v1 W& C2 R" }Type
7 I0 Y. v7 \4 CSold or
) J) O4 b$ N6 ]+ PLeased- [" ^' |' d5 J9 P
Sold or
{" h1 W. `, b I/ s" q7 _Leased; W1 F* v6 `; I$ }
Avg Price or6 a: M' q/ H8 h% N) R
Lse / M2 Avg DOM Total Sales SP / LP
: x- Y1 ]- d8 a3 W7 mIND L 9 9.07 65
$ n2 @3 O4 I( D) {OFC L 8 9.45 355
4 m& s) X- ?) S7 N" u Q! uRET L 9 17.04 168. H h7 f, o2 T! Q9 Z4 R+ q
AGR S 25 884,134 76 22,103,350 96.17%
; @1 h) A3 U2 ^+ GBUS S 49 91,284 110 4,472,900 84.98%
' W. I. u3 d0 o' z) S) L4 {BWP S 29 604,621 155 17,534,000 91.62%
, F9 L) C" |2 X7 |7 wIND S 32 594,121 107 19,011,864 97.17%8 q/ C7 e. v4 W6 s5 M& p
LAN S 44 1,311,137 144 57,690,014 94.80%7 f7 ]$ Z! l/ o9 w; C- T
MFC S 27 1,038,630 59 28,043,008 98.05%; M* v0 O, B7 x- L* F1 u9 F
OFC S 15 522,393 87 7,835,900 94.70%
# a4 A* F& {$ `0 z. v! X! w% mRET S 25 597,004 92 14,925,100 92.82%3 ^5 ]1 ]- ^ s* Y( g
Total YTD 2007 263 171,616,1366 V. ^+ G) p' b5 i3 f" `
Type
6 g# C& X2 C; P" o JSold or
- k0 ~# s$ Q, nLeased% z' R, ]+ z, i, i; P% f9 F
Sold or z7 W) t: _8 u: n$ q, L
Leased. X4 s; B* b& @4 }% i" n2 q4 D* B
Avg Price or
5 {- Y8 Q, E) i, N' w) yLse / M2 Avg DOM Total Sales SP / LP
" _- S, y$ U4 x0 @# P1 QIND L 16 4.59 84
" @& C/ F! g4 ]0 `- b' qOFC L 8 5.94 63
2 T: }' [1 O: |5 L: \$ V2 n! ZRET L 11 9.49 2226 @! h3 v4 \$ `! p; F4 w
AGR S 47 974,303 110 45,792,225 92.92%" v+ u2 z: [% j! c; J: N$ m
BUS S 74 76,082 115 5,630,041 88.33%/ k- R+ m! [) F0 { }8 U3 V6 v
BWP S 25 819,976 130 20,499,400 95.49%
" s% D. O: t1 T+ i2 z. j3 z, iIND S 42 807,156 129 33,900,540 100.20%
5 S7 Z; G5 ^/ q& f# Z; e2 nLAN S 50 916,745 143 45,837,230 97.03%/ s5 Z: @3 C* P0 T: K0 r# X
MFC S 53 838,121 61 44,420,388 98.07%
. P/ |' b/ [0 D- V; QOFC S 17 463,662 88 7,882,250 97.76%
# F8 ?0 S/ U- C- |$ u5 ]% d4 p2 tRET S 28 362,436 108 10,148,200 96.41%+ ~; l1 G4 Q% I
Total YTD 2006 355 214,110,274
. @8 J" J) X$ ]: NCalgary Commercial Summary( J T+ ~6 W8 [# x
CREB® Stats/ n! Z+ f6 Q! ~3 i
Year to Date 2006
. f7 @2 R' {3 ? ?0 i" fYear to Date 20074 `' `/ ~1 F0 b
TOTAL MLS®: b) i# w/ r: t- ~6 |
June 20072 f( N& P0 a/ }
3526
7 R( F' V$ S7 i L; X, @$ B; c% Z- {2611+ _3 |9 k- F9 G i
6801
' u d7 l" M, S: V8 e: I k7238/ r$ e% {! |! C$ B9 d% h$ Z
6412, b- [/ \: ^) t+ `7 T
4299! l$ M4 Y: ~7 h p" T% r
4098 39747 x" ~" \. }* C: t* h
4723 y, y- T0 M" j% n+ J
5665# i6 g6 F6 `8 W0 w, f% B' ~0 x
7065
7 j" P$ i) g5 J. e4 Q% w/ ~8606! k) @3 D7 @ ~% r, u
2273 2193: z+ X) A$ w% C V9 o0 C& u9 K' f% N
2390
: t! u' t, m$ `1 l `% H2061
- `8 ~ k& ?: M8 w" F) E9 b3633
4 w) a7 M, \+ g d. q31890 p( v/ I) v2 r2 r2 D
3640
3 h$ K9 a% L" a) Y1 Z4 w+ z- l4077
6 b+ H8 y& o- J3434- @& `5 d7 H0 A+ Q0 }* q$ `
2710 2695# t& _2 l: y" t& D/ y7 s3 c" `
4407; W( H$ S7 Z: p+ P
3130! R% j) x" M* A K* I
5378
& N3 p: u6 [6 m3 E379,148 381,620
$ Z: L- J) `; e6 S5 ~1 ^371,878
I0 C* i- ?/ O4 R& r; J384,163' k* e5 [3 d+ `3 J0 I3 ?
382,2683 s6 G9 y2 h7 P4 ]& I
379,906
! R! {& s, s5 P5 `: [6 a7 ^1 O7 |371,429
# a2 \- U/ U6 D v |6 [; p373,762
* r" L# s1 n- l5 f9 k6 b& c- n401,916
; G: t5 s% ]) u* B7 A( `426,184
* _8 |4 F: g5 R2 q- a# P$ f& z431,610& i& g: |# F1 q- Q4 |6 R' U. [. }
441,386 444,0154 f0 _0 u" t; p
335,000 333,000& ^4 N' Z& i' ~8 @! @( d" V* d
330,0004 }3 d$ K, K6 o) l
335,000 335,000 336,000 335,000 338,500
* O) F: |0 ^5 B9 g0 b365,000 L& ]. G+ U: W$ z2 s5 j
379,000
4 @' y9 E/ E) |) r+ |2 U390,000
+ ~4 |/ j0 Y' W( }1 @: @392,000& a3 J7 H% W( d, w9 C* L2 \) Z I" H
388,000" r3 e/ @* Z* H; d3 [5 |( E
0% [( l, ^4 u$ S+ I9 z% n( F
1000
% z& O% [8 a7 N2000! r7 U# P+ k0 q
3000
$ D4 H5 G, a% M) {/ a: ?4000
0 M4 E6 y6 Z7 O; [5000
, p0 I3 D8 J; D; u7 R0 M7 h! m6000
- ?) k+ D, K) b8 Y7 k P; n7000
% g7 `, Q% \' `8000
* o# X6 U- |" Z" J! W4 B- W9000
" Q3 ]! S: _0 g! u" V10000
6 V8 C% ^4 g% a( Y |11000
1 i5 Q: D$ R$ Y8 U T1 |120001 @, e L7 E8 a4 Q0 I
Jun-06 Jul-06 Aug-06 Sep-06 Oct-06 Nov-06 Dec-06 Jan-07 Feb-07 Mar-07 Apr-07 May-07 Jun-07
$ D/ Q( @( Q. y2 A8 I/ j# Sales/Inventory
: B# ~! e1 E( x; i' j$0* c! c4 l1 A r( p% s. G
$50,000
' ?2 c+ k3 P5 z$100,000
C- @' `: q% r M$150,000
) i- l' I r) L6 N$200,000
$ {0 G0 I$ q( T6 O, _4 F$250,000( q% z4 t8 {( B# }
$300,000+ O# W( W0 z. Y1 C
$350,0006 U% C& G+ i2 V1 y9 h% _- z& t
$400,000* p/ I. f) i) d. q' R
$450,000
' u; x8 r" H8 q- B8 d% e D r$500,000" t t. e" c3 o9 [
Average/Median Sales Price
2 B2 X" m" g; A3 a" YSales; @+ C: r+ U( G% ~* O
Inventory. H7 n$ H; \: I5 [& I2 D% N E0 I
Avg Sale Price
- M2 |# p e+ [Median Sale Price1 ] v, Y5 E+ D9 P C
Absorption Rate (Inventory Turnover)0 o# w; s/ |' h7 M8 Y" ?7 V
Total MLS® June 2007
/ O6 I s7 T2 w% K& Y09 z+ i! ^- U% Q9 B. K t+ H
0.5
; o; r! n5 l$ ]/ `: [1
* s* A) ~* g$ g J1.5
% ]5 ^7 `# I* w* k9 T1 B2
+ U, L. P, j1 p1 j5 d' K2.5
. `- F. f/ R, D) G" Z1 n35 o. z- }$ y% I2 Y8 H, N; n: T9 V5 Y
3.5
9 L: O! q; {. B" v! |, k. U5 Y4. D# e8 f. C) {
4.5
' f% N3 _$ f7 V; n. Q( \5 |, X$ T J0 bJun-) Q9 d' a. X: N! u7 J
04
: K2 t$ n2 w6 QAug-
, ~7 t0 e5 I/ N& c' V% B04' H* C9 T. m5 g6 o- E
Oct-" ^2 f7 t" t. s0 y* n' Z1 _$ n
04. o o2 I4 ?- D, ^: z
Dec-
" i3 k+ {4 d7 u) K" K04
' C- D }3 i/ u% p7 m& Y3 eFeb-" a( L1 l" ?. z# q! l. F% T
051 U2 Z& O) R- f. {: E" o9 N4 @1 q7 ?
Apr-
% _: ^# ?! u; A3 t" }- M05, t3 _: K3 Q$ V$ G! s& d) [* G
Jun-
O/ B) @4 D* S+ j057 @2 N; v2 V' c1 C( i
Aug-* R) D( H: W% n0 X8 ]3 U
05
X5 p: {# K4 z$ Y+ [: X$ @) L8 bOct-
3 ?: }0 R" p8 e" d0 E& d' t053 n! t3 ~4 b6 I; t9 e, Z
Dec-& O# |; h5 x! r, x
052 W4 v- g: Y+ e0 G
Feb-
* o, Y8 `# a* e4 X2 m5 M) w06
7 d, Z( l+ d3 Z' [/ ?3 jApr-+ J6 Z5 P0 `3 V0 x9 U% j7 P) S' b
06) O2 a f/ W+ w i: G9 g& Y
Jun-8 y1 A" j- ?8 t$ d) X
062 T4 W, J+ M$ D9 k, z( Z5 r$ A
Aug-& o$ v1 U( p5 x% L+ O( i5 f! r
06
! F1 j. K% e( j% p" d5 {Oct-$ G- T7 t3 ~) x) N5 }; R; E+ ^/ M5 Y
06
/ v/ Z+ F" o- s: r( MDec-2 X3 E" p! i6 S M
06
# a# ]" g9 S$ f& |! R( @1 ^Feb-7 c6 ?* j+ M5 e* w% K4 B7 b- ~+ e
07. W/ s7 I$ C0 X9 l# C
Apr-
+ Q) Q) N! _& t6 \$ n07% }2 K$ b6 P4 t2 a/ b3 A( B! G
Jun- ?; X3 x& K' q5 D
07
' I( c% O% q* d+ _Balanced Market
4 J# g4 P1 A. v! }. z) iTOTAL MLS®
# [# d8 H- p$ K' j& T$ l3 `June 2007
( H% M- q2 s* d( L4 Y' w8 \0" w. q" x/ d% g! o& x$ k
1,0005 X. d# g, q! r" H$ f# b, R" B
2,0006 V1 J9 w$ C6 O& M; n
3,000$ t( {- X! C$ @6 N" i$ ~+ X+ S! J
4,000
9 x5 T( ~6 H8 q b* y8 u0 [5,000
% C! I& l8 u! J' |# y% z, O# N' N8 x6,000
2 V1 W% t. N$ c* m/ I0 L8 M+ T- U0 F& b: b7,000 M( {. g2 b, h( e* D% }
8,000
. j9 v# w- K9 `4 ^, _# P `' z9,000
& |9 a$ ^: Y2 m4 t, N* eJun-
1 J9 E3 M3 a& C) g040 b4 s. m5 e% W6 s3 v
Aug-
3 w+ M" Z/ c( c2 |6 d04- v" H8 s4 b! l/ y8 {
Oct-
: u) r4 d4 F; m2 C; M048 j: p; A4 P* q# o7 ]. W
Dec-; U+ M' E4 c2 B! v2 m( `0 l* g1 h
04' n7 X t$ L# ]% c# d
Feb-% k( _9 s, [5 ~- z% X2 b
057 @+ L* t/ N. G) e! B
Apr-
$ t; O, D7 p3 U; r! Q( p05! B8 M t: r7 a# e1 s, X
Jun-
1 [$ R$ b6 y1 {7 v" D9 W: r6 I4 a) G05
9 ?7 j$ P( }" l2 O& \! n: M9 gAug-
5 t3 ]4 E& Z& V$ e, d! E5 ^05: y, T2 U, P+ F2 q, G4 T0 Y
Oct-
" R. S: R( A3 d; }9 d# [; v05
- V% x- b+ L2 C$ W# }# IDec-
( G$ j8 V- F: P. H; M4 c05 h& b/ w2 i4 {; H, D4 Z6 m% h
Feb-' x. @1 p2 s7 F, N- d. G3 D
06
1 j0 u, \9 h9 wApr-. @" @" t) b3 J3 F' u) L
06
' R }: ~* p8 n( s0 X4 ~Jun-
( F- o- }' k) R& y6 P# N7 c1 I06
* ]! |0 d7 H, q: oAug-* O6 Y4 f, c% q
06
8 k" o! S, b& o9 cOct-
/ L" F4 S) d k06; B7 @6 ^. |6 v' {; ^
Dec-
+ \6 d8 l% Y) ?1 k1 _$ E06
4 N! z4 S z, ~% ZFeb-0 B# S+ ~$ x o
07' e% \. a! s* T7 D& D0 g' p
Apr-
5 v- f' C: T8 p# Z: W' u' Y07
9 a3 g* Z! m! g+ w! ~7 EJun-! x9 O3 @% W/ E4 M5 P9 Y( a
07
! w3 i& R& C+ |& }& R( h: O" j) xInventory
2 s+ \* Q( J% w) R+ G- @Sales
" |5 V3 x4 u) s. V* cTOTAL MLS®
4 w* d( {$ P9 A% eJune 2007
" U# ?6 k5 X& v1 [8 c/ T9 }; l0
9 s( d% R& s$ Z! p4 T- v1,000
$ I# v) x, D: s% F% t* M2,000
# C2 }1 A# j1 j7 t, W3,000
1 s: q4 [$ Y8 s' ^4,000
% h' v1 i' L: S! N- M- j3 }) L5,000) M: p0 V# c1 M+ m# \& ]# C5 l0 z
6,000
$ I$ f K; L2 [8 n6 Y9 ]8 i$ \7,000; h$ G; J0 Y, D \5 s
Jun-2 l: P {2 Z6 o
04$ S. d( t* s$ b# P' O7 M; a/ M
Aug-6 J* y3 h9 [2 n! c
040 c$ I5 d4 X0 {& g
Oct-
7 ?3 J' h7 I+ H1 ~( M6 ~* D2 z04
5 c) ` t& }2 c: j/ x8 z; uDec-" ?6 |$ ~ @! u a
04* T: E& ?. \% t* M, f! x6 _: `- g
Feb-! G9 ?# ] j& ?
05
# ^+ h4 t; T3 I7 ?" s% dApr-
% z- T6 T; G" l' x( Q! D8 L% r051 }* |& R2 }4 t+ t% Y6 Q$ |
Jun-
! {8 E& g0 l$ I4 h! Z. |+ ?) U057 Q0 @0 o- q( R: T
Aug-, b+ a# V, t/ R) `* D, X9 I# e
05
+ l7 D6 {% e) q# K: [; YOct-
1 h0 G9 ^( M9 m2 v6 _05+ \! r9 c+ \. v: o2 x N& D
Dec-. @- y" w' O' d4 G( x
05. I8 b- y; Y L2 K
Feb-# J4 d e8 I7 d" C2 c/ A, S
06* o5 v0 I! j) _# O. r
Apr-
" r8 `3 ~( K1 z065 d- n- |; n* E8 A/ K7 r: Y
Jun-
0 u: u7 M+ B) Y% Y- [065 R8 T! z! T9 a: p
Aug-4 {' Q F/ L9 j+ D% K7 p
06
h5 j1 X' {' g- `' ROct-% {/ A$ T- B- E0 i" b
06- }4 S; k' h2 _9 l
Dec-0 w F/ \' ^6 Q! a
062 x. T- ~2 P! Y
Feb-
: }7 A0 F% P) {! \% H3 {07
: K; ^! b4 m; T; \Apr-
# E4 J( V/ J3 N. a; o! M9 I* D07
- h! Z$ F; Y0 ^" R% G Q& g/ ^Jun-
9 i2 x( z* x, G! U0 R6 W' r072 A u; U8 y; x0 r z& ]6 Q
New
4 N- I& t# G, s2 |" rListings( ~- ?) D, \6 w- M
Sales
; {5 ?/ I$ q- O4 G& l3,189
" r% w# k3 c9 Q z% ^5,973
) G" ?$ n o7 J: E, d4 T- m3,526* V& C; I) C: R9 T6 Y
4,865
* f7 ~: h7 ^& ~) k7 p05 I+ p" O. h$ j% f/ \
1,0009 S/ C% Y" h$ z) c- T
2,000
( b g( p! w: S2 [3,000
C( q& u! i+ E i9 B6 F4,000% }2 N8 j' U+ s8 k. H ]0 T: p t
5,000
9 I4 ?2 y1 p0 T( D( H( K3 o u6,000
! }7 f3 @( m1 U0 [/ Z7,0009 Z; V- b Z, U+ f' g N3 _
8,000
# s1 ?7 c! b3 g' J$ H8 q* dJun-07 Jun-06
. J" Z) Q& |0 y5 d4 W$ ATOTAL MLS®
& l) h6 C$ k% v- t2 M! c5 `6 N1 L* QJune 2007
$ p7 W0 }# m, Y/ W1 y- C# BSales0 U- V$ I3 E3 V) P. k
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