$City_1 = Pittsburgh, PA
$e =
$City_2 = Morgantown, WV
$e =
function get_years(Array,Pittsburgh, PA,) {
1960
Selecting city: Pittsburgh, PA
Searching backwards from 2025 for most recent data.
0: Year 2025 not found in data for Pittsburgh, PA.
Most recent data for Pittsburgh, PA is from 2024.
2024
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
1976
The first year data is available for Pittsburgh, PA is : 1976 the most recent year of data is 2024.
return Array
}
function get_years(Array,Morgantown, WV,) {
1960
Selecting city: Morgantown, WV
Searching backwards from 2025 for most recent data.
0: Year 2025 not found in data for Morgantown, WV.
Most recent data for Morgantown, WV is from 2024.
2024
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
1993
The first year data is available for Morgantown, WV is : 1993 the most recent year of data is 2024.
return Array
}

Inputs:

City_1 Pittsburgh, PA
City_2 Morgantown, WV
Price 250000
YearStart 1996
QuarterStart 1
YearEnd 2010
QuarterEnd 3

function check_year(Pittsburgh, PA,1996):

Data for 1996 is in the $c[Pittsburgh, PA] element.

function check_quarter():

Data for the 1 quarter is in the $c[Pittsburgh, PA][1996] element.
START $v_year = 2010

function check_year(Pittsburgh, PA,2010):

Data for 2010 is in the $c[Pittsburgh, PA] element.
END $v_year = 2010

function check_quarter():

Data for the 3 quarter is in the $c[Pittsburgh, PA][2010] element.

function check_year(Morgantown, WV,1996):

Data for 1996 is in the $c[Morgantown, WV] element.

function check_quarter():

Data for the 1 quarter is in the $c[Morgantown, WV][1996] element.

function check_year(Morgantown, WV,2010):

Data for 2010 is in the $c[Morgantown, WV] element.

function check_quarter():

Data for the 3 quarter is in the $c[Morgantown, WV][2010] element.

function get_valuation():

Purchase price: $250000
Purchase year: 1996
Purchase quarter: 1
Start price index:106.15
Current price index:164.33
Based on HPI the home has appreciated 54.81% in 14.5 years at an average rate of 3.78% per year.
The current appreciations value is: $387023.08
Evaluation year: 2010
Evaluation quarter: 3
Evaluation period: 14.5 years (58 quarters or 174 months).


Array ( [0] => Pittsburgh, PA [1] => 250000 [2] => 1996 [3] => 1 [4] => 2010 [5] => 3 [6] => 14.5 [7] => 58 [8] => 174 [9] => 387023.08 [10] => 0.54809232218559 [11] => 0.037799470495558 ) 1
Pittsburgh, PA
250000
1996
1
2010
3
14.5
58
174
387023.08
0.54809232218559
0.037799470495558
Pittsburgh, PA
250000
1996
1
2010
3
14.5
58
174
387023.08
0.54809232218559
0.037799470495558
106.15
164.33
p_year=1996 / ycount=1996 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
250000
1996(1) : Array[1996][1] : Value = 250000 (250000 / 250000)
qcount=2 / qend=4 / v_quarter=3
247551
1996(2) : Array[1996][2] : Value = 247551 (247551 / 250000)
qcount=3 / qend=4 / v_quarter=3
247197
1996(3) : Array[1996][3] : Value = 247197 (247197 / 250000)
qcount=4 / qend=4 / v_quarter=3
249647
1996(4) : Array[1996][4] : Value = 249647 (247197 / 250000)
p_year=1996 / ycount=1997 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
249788
1997(1) : Array[1997][1] : Value = 249788 (247197 / 250000)
qcount=2 / qend=4 / v_quarter=3
251649
1997(2) : Array[1997][2] : Value = 251649 (247197 / 251649)
qcount=3 / qend=4 / v_quarter=3
253415
1997(3) : Array[1997][3] : Value = 253415 (247197 / 253415)
qcount=4 / qend=4 / v_quarter=3
256453
1997(4) : Array[1997][4] : Value = 256453 (247197 / 256453)
p_year=1996 / ycount=1998 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
263118
1998(1) : Array[1998][1] : Value = 263118 (247197 / 263118)
qcount=2 / qend=4 / v_quarter=3
262459
1998(2) : Array[1998][2] : Value = 262459 (247197 / 263118)
qcount=3 / qend=4 / v_quarter=3
263943
1998(3) : Array[1998][3] : Value = 263943 (247197 / 263943)
qcount=4 / qend=4 / v_quarter=3
269030
1998(4) : Array[1998][4] : Value = 269030 (247197 / 269030)
p_year=1996 / ycount=1999 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
270820
1999(1) : Array[1999][1] : Value = 270820 (247197 / 270820)
qcount=2 / qend=4 / v_quarter=3
270513
1999(2) : Array[1999][2] : Value = 270513 (247197 / 270820)
qcount=3 / qend=4 / v_quarter=3
270349
1999(3) : Array[1999][3] : Value = 270349 (247197 / 270820)
qcount=4 / qend=4 / v_quarter=3
270513
1999(4) : Array[1999][4] : Value = 270513 (247197 / 270820)
p_year=1996 / ycount=2000 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
273646
2000(1) : Array[2000][1] : Value = 273646 (247197 / 273646)
qcount=2 / qend=4 / v_quarter=3
278050
2000(2) : Array[2000][2] : Value = 278050 (247197 / 278050)
qcount=3 / qend=4 / v_quarter=3
281394
2000(3) : Array[2000][3] : Value = 281394 (247197 / 281394)
qcount=4 / qend=4 / v_quarter=3
285516
2000(4) : Array[2000][4] : Value = 285516 (247197 / 285516)
p_year=1996 / ycount=2001 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
293947
2001(1) : Array[2001][1] : Value = 293947 (247197 / 293947)
qcount=2 / qend=4 / v_quarter=3
297221
2001(2) : Array[2001][2] : Value = 297221 (247197 / 297221)
qcount=3 / qend=4 / v_quarter=3
300542
2001(3) : Array[2001][3] : Value = 300542 (247197 / 300542)
qcount=4 / qend=4 / v_quarter=3
304169
2001(4) : Array[2001][4] : Value = 304169 (247197 / 304169)
p_year=1996 / ycount=2002 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
308596
2002(1) : Array[2002][1] : Value = 308596 (247197 / 308596)
qcount=2 / qend=4 / v_quarter=3
310268
2002(2) : Array[2002][2] : Value = 310268 (247197 / 310268)
qcount=3 / qend=4 / v_quarter=3
315356
2002(3) : Array[2002][3] : Value = 315356 (247197 / 315356)
qcount=4 / qend=4 / v_quarter=3
319053
2002(4) : Array[2002][4] : Value = 319053 (247197 / 319053)
p_year=1996 / ycount=2003 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
322091
2003(1) : Array[2003][1] : Value = 322091 (247197 / 322091)
qcount=2 / qend=4 / v_quarter=3
325200
2003(2) : Array[2003][2] : Value = 325200 (247197 / 325200)
qcount=3 / qend=4 / v_quarter=3
328427
2003(3) : Array[2003][3] : Value = 328427 (247197 / 328427)
qcount=4 / qend=4 / v_quarter=3
334480
2003(4) : Array[2003][4] : Value = 334480 (247197 / 334480)
p_year=1996 / ycount=2004 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
338389
2004(1) : Array[2004][1] : Value = 338389 (247197 / 338389)
qcount=2 / qend=4 / v_quarter=3
340509
2004(2) : Array[2004][2] : Value = 340509 (247197 / 340509)
qcount=3 / qend=4 / v_quarter=3
345054
2004(3) : Array[2004][3] : Value = 345054 (247197 / 345054)
qcount=4 / qend=4 / v_quarter=3
350188
2004(4) : Array[2004][4] : Value = 350188 (247197 / 350188)
p_year=1996 / ycount=2005 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
352285
2005(1) : Array[2005][1] : Value = 352285 (247197 / 352285)
qcount=2 / qend=4 / v_quarter=3
357489
2005(2) : Array[2005][2] : Value = 357489 (247197 / 357489)
qcount=3 / qend=4 / v_quarter=3
361988
2005(3) : Array[2005][3] : Value = 361988 (247197 / 361988)
qcount=4 / qend=4 / v_quarter=3
361517
2005(4) : Array[2005][4] : Value = 361517 (247197 / 361988)
p_year=1996 / ycount=2006 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
363872
2006(1) : Array[2006][1] : Value = 363872 (247197 / 363872)
qcount=2 / qend=4 / v_quarter=3
364837
2006(2) : Array[2006][2] : Value = 364837 (247197 / 364837)
qcount=3 / qend=4 / v_quarter=3
365803
2006(3) : Array[2006][3] : Value = 365803 (247197 / 365803)
qcount=4 / qend=4 / v_quarter=3
370749
2006(4) : Array[2006][4] : Value = 370749 (247197 / 370749)
p_year=1996 / ycount=2007 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
372209
2007(1) : Array[2007][1] : Value = 372209 (247197 / 372209)
qcount=2 / qend=4 / v_quarter=3
374164
2007(2) : Array[2007][2] : Value = 374164 (247197 / 374164)
qcount=3 / qend=4 / v_quarter=3
374447
2007(3) : Array[2007][3] : Value = 374447 (247197 / 374447)
qcount=4 / qend=4 / v_quarter=3
376849
2007(4) : Array[2007][4] : Value = 376849 (247197 / 376849)
p_year=1996 / ycount=2008 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
383090
2008(1) : Array[2008][1] : Value = 383090 (247197 / 383090)
qcount=2 / qend=4 / v_quarter=3
379958
2008(2) : Array[2008][2] : Value = 379958 (247197 / 383090)
qcount=3 / qend=4 / v_quarter=3
377814
2008(3) : Array[2008][3] : Value = 377814 (247197 / 383090)
qcount=4 / qend=4 / v_quarter=3
376943
2008(4) : Array[2008][4] : Value = 376943 (247197 / 383090)
p_year=1996 / ycount=2009 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
385021
2009(1) : Array[2009][1] : Value = 385021 (247197 / 385021)
qcount=2 / qend=4 / v_quarter=3
384032
2009(2) : Array[2009][2] : Value = 384032 (247197 / 385021)
qcount=3 / qend=4 / v_quarter=3
379392
2009(3) : Array[2009][3] : Value = 379392 (247197 / 385021)
qcount=4 / qend=4 / v_quarter=3
379699
2009(4) : Array[2009][4] : Value = 379699 (247197 / 385021)
p_year=1996 / ycount=2010 / v_year=2010

function check_quarter():

Data for the 1 quarter is in the $c[Pittsburgh, PA][2010] element.
qcount=1 / qend=3 / v_quarter=3
378827
2010(1) : Array[2010][1] : Value = 378827 (247197 / 385021)
qcount=2 / qend=3 / v_quarter=3
379675
2010(2) : Array[2010][2] : Value = 379675 (247197 / 385021)
qcount=3 / qend=3 / v_quarter=3
387023
2010(3) : Array[2010][3] : Value = 387023 (247197 / 387023)

function get_valuation():

Purchase price: $250000
Purchase year: 1996
Purchase quarter: 1
Start price index:102.33
Current price index:178.70
Based on HPI the home has appreciated 74.63% in 14.5 years at an average rate of 5.15% per year.
The current appreciations value is: $436577.74
Evaluation year: 2010
Evaluation quarter: 3
Evaluation period: 14.5 years (58 quarters or 174 months).


Morgantown, WV
250000
1996
1
2010
3
14.5
58
174
436577.74
0.74631095475423
0.051469721017533
102.33
178.70
p_year=1996 / ycount=1996 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
250000
1996(1) : Array[1996][1] : Value = 250000 (250000 / 250000)
qcount=2 / qend=4 / v_quarter=3
248217
1996(2) : Array[1996][2] : Value = 248217 (248217 / 250000)
qcount=3 / qend=4 / v_quarter=3
235415
1996(3) : Array[1996][3] : Value = 235415 (235415 / 250000)
qcount=4 / qend=4 / v_quarter=3
245749
1996(4) : Array[1996][4] : Value = 245749 (235415 / 250000)
p_year=1996 / ycount=1997 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
252810
1997(1) : Array[1997][1] : Value = 252810 (235415 / 252810)
qcount=2 / qend=4 / v_quarter=3
251026
1997(2) : Array[1997][2] : Value = 251026 (235415 / 252810)
qcount=3 / qend=4 / v_quarter=3
258697
1997(3) : Array[1997][3] : Value = 258697 (235415 / 258697)
qcount=4 / qend=4 / v_quarter=3
252077
1997(4) : Array[1997][4] : Value = 252077 (235415 / 258697)
p_year=1996 / ycount=1998 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
259137
1998(1) : Array[1998][1] : Value = 259137 (235415 / 259137)
qcount=2 / qend=4 / v_quarter=3
267102
1998(2) : Array[1998][2] : Value = 267102 (235415 / 267102)
qcount=3 / qend=4 / v_quarter=3
263217
1998(3) : Array[1998][3] : Value = 263217 (235415 / 267102)
qcount=4 / qend=4 / v_quarter=3
260041
1998(4) : Array[1998][4] : Value = 260041 (235415 / 267102)
p_year=1996 / ycount=1999 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
264805
1999(1) : Array[1999][1] : Value = 264805 (235415 / 267102)
qcount=2 / qend=4 / v_quarter=3
260090
1999(2) : Array[1999][2] : Value = 260090 (235415 / 267102)
qcount=3 / qend=4 / v_quarter=3
258038
1999(3) : Array[1999][3] : Value = 258038 (235415 / 267102)
qcount=4 / qend=4 / v_quarter=3
259528
1999(4) : Array[1999][4] : Value = 259528 (235415 / 267102)
p_year=1996 / ycount=2000 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
267883
2000(1) : Array[2000][1] : Value = 267883 (235415 / 267883)
qcount=2 / qend=4 / v_quarter=3
268958
2000(2) : Array[2000][2] : Value = 268958 (235415 / 268958)
qcount=3 / qend=4 / v_quarter=3
269789
2000(3) : Array[2000][3] : Value = 269789 (235415 / 269789)
qcount=4 / qend=4 / v_quarter=3
272354
2000(4) : Array[2000][4] : Value = 272354 (235415 / 272354)
p_year=1996 / ycount=2001 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
280172
2001(1) : Array[2001][1] : Value = 280172 (235415 / 280172)
qcount=2 / qend=4 / v_quarter=3
288234
2001(2) : Array[2001][2] : Value = 288234 (235415 / 288234)
qcount=3 / qend=4 / v_quarter=3
286719
2001(3) : Array[2001][3] : Value = 286719 (235415 / 288234)
qcount=4 / qend=4 / v_quarter=3
287452
2001(4) : Array[2001][4] : Value = 287452 (235415 / 288234)
p_year=1996 / ycount=2002 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
292754
2002(1) : Array[2002][1] : Value = 292754 (235415 / 292754)
qcount=2 / qend=4 / v_quarter=3
292461
2002(2) : Array[2002][2] : Value = 292461 (235415 / 292754)
qcount=3 / qend=4 / v_quarter=3
296589
2002(3) : Array[2002][3] : Value = 296589 (235415 / 296589)
qcount=4 / qend=4 / v_quarter=3
299765
2002(4) : Array[2002][4] : Value = 299765 (235415 / 299765)
p_year=1996 / ycount=2003 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
300865
2003(1) : Array[2003][1] : Value = 300865 (235415 / 300865)
qcount=2 / qend=4 / v_quarter=3
305116
2003(2) : Array[2003][2] : Value = 305116 (235415 / 305116)
qcount=3 / qend=4 / v_quarter=3
309245
2003(3) : Array[2003][3] : Value = 309245 (235415 / 309245)
qcount=4 / qend=4 / v_quarter=3
321216
2003(4) : Array[2003][4] : Value = 321216 (235415 / 321216)
p_year=1996 / ycount=2004 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
326395
2004(1) : Array[2004][1] : Value = 326395 (235415 / 326395)
qcount=2 / qend=4 / v_quarter=3
334995
2004(2) : Array[2004][2] : Value = 334995 (235415 / 334995)
qcount=3 / qend=4 / v_quarter=3
346526
2004(3) : Array[2004][3] : Value = 346526 (235415 / 346526)
qcount=4 / qend=4 / v_quarter=3
346526
2004(4) : Array[2004][4] : Value = 346526 (235415 / 346526)
p_year=1996 / ycount=2005 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
362504
2005(1) : Array[2005][1] : Value = 362504 (235415 / 362504)
qcount=2 / qend=4 / v_quarter=3
379092
2005(2) : Array[2005][2] : Value = 379092 (235415 / 379092)
qcount=3 / qend=4 / v_quarter=3
390917
2005(3) : Array[2005][3] : Value = 390917 (235415 / 390917)
qcount=4 / qend=4 / v_quarter=3
412684
2005(4) : Array[2005][4] : Value = 412684 (235415 / 412684)
p_year=1996 / ycount=2006 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
403718
2006(1) : Array[2006][1] : Value = 403718 (235415 / 412684)
qcount=2 / qend=4 / v_quarter=3
409240
2006(2) : Array[2006][2] : Value = 409240 (235415 / 412684)
qcount=3 / qend=4 / v_quarter=3
416887
2006(3) : Array[2006][3] : Value = 416887 (235415 / 416887)
qcount=4 / qend=4 / v_quarter=3
419647
2006(4) : Array[2006][4] : Value = 419647 (235415 / 419647)
p_year=1996 / ycount=2007 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
430177
2007(1) : Array[2007][1] : Value = 430177 (235415 / 430177)
qcount=2 / qend=4 / v_quarter=3
426830
2007(2) : Array[2007][2] : Value = 426830 (235415 / 430177)
qcount=3 / qend=4 / v_quarter=3
429273
2007(3) : Array[2007][3] : Value = 429273 (235415 / 430177)
qcount=4 / qend=4 / v_quarter=3
431276
2007(4) : Array[2007][4] : Value = 431276 (235415 / 431276)
p_year=1996 / ycount=2008 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
435820
2008(1) : Array[2008][1] : Value = 435820 (235415 / 435820)
qcount=2 / qend=4 / v_quarter=3
437457
2008(2) : Array[2008][2] : Value = 437457 (235415 / 437457)
qcount=3 / qend=4 / v_quarter=3
433695
2008(3) : Array[2008][3] : Value = 433695 (235415 / 437457)
qcount=4 / qend=4 / v_quarter=3
432107
2008(4) : Array[2008][4] : Value = 432107 (235415 / 437457)
p_year=1996 / ycount=2009 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
441000
2009(1) : Array[2009][1] : Value = 441000 (235415 / 441000)
qcount=2 / qend=4 / v_quarter=3
434013
2009(2) : Array[2009][2] : Value = 434013 (235415 / 441000)
qcount=3 / qend=4 / v_quarter=3
435894
2009(3) : Array[2009][3] : Value = 435894 (235415 / 441000)
qcount=4 / qend=4 / v_quarter=3
426976
2009(4) : Array[2009][4] : Value = 426976 (235415 / 441000)
p_year=1996 / ycount=2010 / v_year=2010

function check_quarter():

Data for the 1 quarter is in the $c[Morgantown, WV][2010] element.
qcount=1 / qend=3 / v_quarter=3
436578
2010(1) : Array[2010][1] : Value = 436578 (235415 / 441000)
qcount=2 / qend=3 / v_quarter=3
432449
2010(2) : Array[2010][2] : Value = 432449 (235415 / 441000)
qcount=3 / qend=3 / v_quarter=3
436578
2010(3) : Array[2010][3] : Value = 436578 (235415 / 441000)
HomePriceGraph.com+++++++++++++++++++Price+appreciation+in+Pittsburgh%2C+PA+for+years+1996+to+2010++++++++++++++++++++++++++++++++++++++++++++++++++++%7CTotal+appreciation+%3D+%24137%2C023%2854.81%25%29+++Start%3A+%24250%2C000+End%3A+%24387%2C023
t:250000,247551,247197,249647,249788,251649,253415,256453,263118,262459,263943,269030,270820,270513,270349,270513,273646,278050,281394,285516,293947,297221,300542,304169,308596,310268,315356,319053,322091,325200,328427,334480,338389,340509,345054,350188,352285,357489,361988,361517,363872,364837,365803,370749,372209,374164,374447,376849,383090,379958,377814,376943,385021,384032,379392,379699,378827,379675,387023|250000,248217,235415,245749,252810,251026,258697,252077,259137,267102,263217,260041,264805,260090,258038,259528,267883,268958,269789,272354,280172,288234,286719,287452,292754,292461,296589,299765,300865,305116,309245,321216,326395,334995,346526,346526,362504,379092,390917,412684,403718,409240,416887,419647,430177,426830,429273,431276,435820,437457,433695,432107,441000,434013,435894,426976,436578,432449,436578
96|.|.|.|97|.|.|.|98|.|.|.|99|.|.|.|00|.|.|.|01|.|.|.|02|.|.|.|03|.|.|.|04|.|.|.|05|.|.|.|06|.|.|.|07|.|.|.|08|.|.|.|09|.|.|.|10|.|.|
225000
451000
50000
225000
451000
Pittsburgh, PA|Morgantown, WV
2
58
1996
2010
3
3
247197
387023

function graph():

post_chtt HomePriceGraph.com Price appreciation in Pittsburgh, PA for years 1996 to 2010 |Total appreciation = $137,023(54.81%) Start: $250,000 End: $387,023
post_cht ls
post_chd t:250000,247551,247197,249647,249788,251649,253415,256453,263118,262459,263943,269030,270820,270513,270349,270513,273646,278050,281394,285516,293947,297221,300542,304169,308596,310268,315356,319053,322091,325200,328427,334480,338389,340509,345054,350188,352285,357489,361988,361517,363872,364837,365803,370749,372209,374164,374447,376849,383090,379958,377814,376943,385021,384032,379392,379699,378827,379675,387023|250000,248217,235415,245749,252810,251026,258697,252077,259137,267102,263217,260041,264805,260090,258038,259528,267883,268958,269789,272354,280172,288234,286719,287452,292754,292461,296589,299765,300865,305116,309245,321216,326395,334995,346526,346526,362504,379092,390917,412684,403718,409240,416887,419647,430177,426830,429273,431276,435820,437457,433695,432107,441000,434013,435894,426976,436578,432449,436578
post_chl 96|.|.|.|97|.|.|.|98|.|.|.|99|.|.|.|00|.|.|.|01|.|.|.|02|.|.|.|03|.|.|.|04|.|.|.|05|.|.|.|06|.|.|.|07|.|.|.|08|.|.|.|09|.|.|.|10|.|.|
post_chxl
post_chbh a
post_chco 3972cc,cccccc
post_chs 800x375
post_chdl Pittsburgh, PA|Morgantown, WV
post_chxt x,y
post_chxr 1,225000,451000,50000
post_chxs 1,0000DD,18,0,lt,0000DD|2,0000DD,0,l
post_chxtc 1,-800|2,-800
post_chds 225000,451000
post_chf
http://chart.apis.google.com/chart?chid=2e27b37758702b5f5f9a3eabb34ab8b2+chtt=HomePriceGraph.com+++++++++++++++++++Price+appreciation+in+Pittsburgh%2C+PA+for+years+1996+to+2010++++++++++++++++++++++++++++++++++++++++++++++++++++%7CTotal+appreciation+%3D+%24137%2C023%2854.81%25%29+++Start%3A+%24250%2C000+End%3A+%24387%2C023&cht=ls&chd=t%3A250000%2C247551%2C247197%2C249647%2C249788%2C251649%2C253415%2C256453%2C263118%2C262459%2C263943%2C269030%2C270820%2C270513%2C270349%2C270513%2C273646%2C278050%2C281394%2C285516%2C293947%2C297221%2C300542%2C304169%2C308596%2C310268%2C315356%2C319053%2C322091%2C325200%2C328427%2C334480%2C338389%2C340509%2C345054%2C350188%2C352285%2C357489%2C361988%2C361517%2C363872%2C364837%2C365803%2C370749%2C372209%2C374164%2C374447%2C376849%2C383090%2C379958%2C377814%2C376943%2C385021%2C384032%2C379392%2C379699%2C378827%2C379675%2C387023%7C250000%2C248217%2C235415%2C245749%2C252810%2C251026%2C258697%2C252077%2C259137%2C267102%2C263217%2C260041%2C264805%2C260090%2C258038%2C259528%2C267883%2C268958%2C269789%2C272354%2C280172%2C288234%2C286719%2C287452%2C292754%2C292461%2C296589%2C299765%2C300865%2C305116%2C309245%2C321216%2C326395%2C334995%2C346526%2C346526%2C362504%2C379092%2C390917%2C412684%2C403718%2C409240%2C416887%2C419647%2C430177%2C426830%2C429273%2C431276%2C435820%2C437457%2C433695%2C432107%2C441000%2C434013%2C435894%2C426976%2C436578%2C432449%2C436578&chl=96%7C.%7C.%7C.%7C97%7C.%7C.%7C.%7C98%7C.%7C.%7C.%7C99%7C.%7C.%7C.%7C00%7C.%7C.%7C.%7C01%7C.%7C.%7C.%7C02%7C.%7C.%7C.%7C03%7C.%7C.%7C.%7C04%7C.%7C.%7C.%7C05%7C.%7C.%7C.%7C06%7C.%7C.%7C.%7C07%7C.%7C.%7C.%7C08%7C.%7C.%7C.%7C09%7C.%7C.%7C.%7C10%7C.%7C.%7C&chbh=a&chco=3972cc%2Ccccccc&chs=800x375&chxt=x%2Cy&chxr=1%2C225000%2C451000%2C50000&chxs=1%2C0000DD%2C18%2C0%2Clt%2C0000DD%7C2%2C0000DD%2C0%2Cl&chxtc=1%2C-800%7C2%2C-800&chds=225000%2C451000&chdl=Pittsburgh%2C+PA%7CMorgantown%2C+WV&chdlp=b&chm=tLOW+%3A+%24247%5C%2C197+in+1996%2C3972dd%2C0%2C2%2C16%2C%2Cl%3A%3A-10%7CtHIGH+%3A+%24387%5C%2C023+in+2010%2C3972dd%2C0%2C58%2C16%2C%2Cl%3A%3A1&chma=70%2C30%2C30%2C30DEBUGGING so... exiting before image dump...