$City_1 = Atlanta-Sandy Springs-Marietta, GA
$e = bad
$City_2 = Syracuse, NY
$e =
function get_years(Array,Lawrence, KS,) {
1960
Selecting city: Lawrence, KS
Searching backwards from 2025 for most recent data.
0: Year 2025 not found in data for Lawrence, KS.
Most recent data for Lawrence, KS 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
1985
The first year data is available for Lawrence, KS is : 1985 the most recent year of data is 2024.
return Array
}
function get_years(Array,Syracuse, NY,) {
1960
Selecting city: Syracuse, NY
Searching backwards from 2025 for most recent data.
0: Year 2025 not found in data for Syracuse, NY.
Most recent data for Syracuse, NY 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
1977
The first year data is available for Syracuse, NY is : 1977 the most recent year of data is 2024.
return Array
}

Inputs:

City_1 Lawrence, KS
City_2 Syracuse, NY
Price 282000
YearStart 1995
QuarterStart 1
YearEnd 2011
QuarterEnd 3

function check_year(Lawrence, KS,1995):

Data for 1995 is in the $c[Lawrence, KS] element.

function check_quarter():

Data for the 1 quarter is in the $c[Lawrence, KS][1995] element.
START $v_year = 2011

function check_year(Lawrence, KS,2011):

Data for 2011 is in the $c[Lawrence, KS] element.
END $v_year = 2011

function check_quarter():

Data for the 3 quarter is in the $c[Lawrence, KS][2011] element.

function check_year(Syracuse, NY,1995):

Data for 1995 is in the $c[Syracuse, NY] element.

function check_quarter():

Data for the 1 quarter is in the $c[Syracuse, NY][1995] element.

function check_year(Syracuse, NY,2011):

Data for 2011 is in the $c[Syracuse, NY] element.

function check_quarter():

Data for the 3 quarter is in the $c[Syracuse, NY][2011] element.

function get_valuation():

Purchase price: $282000
Purchase year: 1995
Purchase quarter: 1
Start price index:100.00
Current price index:173.87
Based on HPI the home has appreciated 73.87% in 16.5 years at an average rate of 4.48% per year.
The current appreciations value is: $490313.4
Evaluation year: 2011
Evaluation quarter: 3
Evaluation period: 16.5 years (66 quarters or 198 months).


Array ( [0] => Lawrence, KS [1] => 282000 [2] => 1995 [3] => 1 [4] => 2011 [5] => 3 [6] => 16.5 [7] => 66 [8] => 198 [9] => 490313.4 [10] => 0.7387 [11] => 0.044769696969697 ) 1
Lawrence, KS
282000
1995
1
2011
3
16.5
66
198
490313.4
0.7387
0.044769696969697
Lawrence, KS
282000
1995
1
2011
3
16.5
66
198
490313.4
0.7387
0.044769696969697
100.00
173.87
p_year=1995 / ycount=1995 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
282000
1995(1) : Array[1995][1] : Value = 282000 (282000 / 282000)
qcount=2 / qend=4 / v_quarter=3
290827
1995(2) : Array[1995][2] : Value = 290827 (282000 / 290827)
qcount=3 / qend=4 / v_quarter=3
290488
1995(3) : Array[1995][3] : Value = 290488 (282000 / 290827)
qcount=4 / qend=4 / v_quarter=3
293675
1995(4) : Array[1995][4] : Value = 293675 (282000 / 293675)
p_year=1995 / ycount=1996 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
299428
1996(1) : Array[1996][1] : Value = 299428 (282000 / 299428)
qcount=2 / qend=4 / v_quarter=3
303206
1996(2) : Array[1996][2] : Value = 303206 (282000 / 303206)
qcount=3 / qend=4 / v_quarter=3
309890
1996(3) : Array[1996][3] : Value = 309890 (282000 / 309890)
qcount=4 / qend=4 / v_quarter=3
306703
1996(4) : Array[1996][4] : Value = 306703 (282000 / 309890)
p_year=1995 / ycount=1997 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
312061
1997(1) : Array[1997][1] : Value = 312061 (282000 / 312061)
qcount=2 / qend=4 / v_quarter=3
315840
1997(2) : Array[1997][2] : Value = 315840 (282000 / 315840)
qcount=3 / qend=4 / v_quarter=3
323567
1997(3) : Array[1997][3] : Value = 323567 (282000 / 323567)
qcount=4 / qend=4 / v_quarter=3
323031
1997(4) : Array[1997][4] : Value = 323031 (282000 / 323567)
p_year=1995 / ycount=1998 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
328756
1998(1) : Array[1998][1] : Value = 328756 (282000 / 328756)
qcount=2 / qend=4 / v_quarter=3
332845
1998(2) : Array[1998][2] : Value = 332845 (282000 / 332845)
qcount=3 / qend=4 / v_quarter=3
339697
1998(3) : Array[1998][3] : Value = 339697 (282000 / 339697)
qcount=4 / qend=4 / v_quarter=3
343843
1998(4) : Array[1998][4] : Value = 343843 (282000 / 343843)
p_year=1995 / ycount=1999 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
347311
1999(1) : Array[1999][1] : Value = 347311 (282000 / 347311)
qcount=2 / qend=4 / v_quarter=3
350836
1999(2) : Array[1999][2] : Value = 350836 (282000 / 350836)
qcount=3 / qend=4 / v_quarter=3
358309
1999(3) : Array[1999][3] : Value = 358309 (282000 / 358309)
qcount=4 / qend=4 / v_quarter=3
362821
1999(4) : Array[1999][4] : Value = 362821 (282000 / 362821)
p_year=1995 / ycount=2000 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
374468
2000(1) : Array[2000][1] : Value = 374468 (282000 / 374468)
qcount=2 / qend=4 / v_quarter=3
374609
2000(2) : Array[2000][2] : Value = 374609 (282000 / 374609)
qcount=3 / qend=4 / v_quarter=3
378613
2000(3) : Array[2000][3] : Value = 378613 (282000 / 378613)
qcount=4 / qend=4 / v_quarter=3
385973
2000(4) : Array[2000][4] : Value = 385973 (282000 / 385973)
p_year=1995 / ycount=2001 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
391134
2001(1) : Array[2001][1] : Value = 391134 (282000 / 391134)
qcount=2 / qend=4 / v_quarter=3
397253
2001(2) : Array[2001][2] : Value = 397253 (282000 / 397253)
qcount=3 / qend=4 / v_quarter=3
403260
2001(3) : Array[2001][3] : Value = 403260 (282000 / 403260)
qcount=4 / qend=4 / v_quarter=3
405826
2001(4) : Array[2001][4] : Value = 405826 (282000 / 405826)
p_year=1995 / ycount=2002 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
415245
2002(1) : Array[2002][1] : Value = 415245 (282000 / 415245)
qcount=2 / qend=4 / v_quarter=3
417783
2002(2) : Array[2002][2] : Value = 417783 (282000 / 417783)
qcount=3 / qend=4 / v_quarter=3
423733
2002(3) : Array[2002][3] : Value = 423733 (282000 / 423733)
qcount=4 / qend=4 / v_quarter=3
426215
2002(4) : Array[2002][4] : Value = 426215 (282000 / 426215)
p_year=1995 / ycount=2003 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
429853
2003(1) : Array[2003][1] : Value = 429853 (282000 / 429853)
qcount=2 / qend=4 / v_quarter=3
435549
2003(2) : Array[2003][2] : Value = 435549 (282000 / 435549)
qcount=3 / qend=4 / v_quarter=3
441697
2003(3) : Array[2003][3] : Value = 441697 (282000 / 441697)
qcount=4 / qend=4 / v_quarter=3
451990
2003(4) : Array[2003][4] : Value = 451990 (282000 / 451990)
p_year=1995 / ycount=2004 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
459745
2004(1) : Array[2004][1] : Value = 459745 (282000 / 459745)
qcount=2 / qend=4 / v_quarter=3
465215
2004(2) : Array[2004][2] : Value = 465215 (282000 / 465215)
qcount=3 / qend=4 / v_quarter=3
471109
2004(3) : Array[2004][3] : Value = 471109 (282000 / 471109)
qcount=4 / qend=4 / v_quarter=3
478836
2004(4) : Array[2004][4] : Value = 478836 (282000 / 478836)
p_year=1995 / ycount=2005 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
491131
2005(1) : Array[2005][1] : Value = 491131 (282000 / 491131)
qcount=2 / qend=4 / v_quarter=3
497279
2005(2) : Array[2005][2] : Value = 497279 (282000 / 497279)
qcount=3 / qend=4 / v_quarter=3
501875
2005(3) : Array[2005][3] : Value = 501875 (282000 / 501875)
qcount=4 / qend=4 / v_quarter=3
502693
2005(4) : Array[2005][4] : Value = 502693 (282000 / 502693)
p_year=1995 / ycount=2006 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
502665
2006(1) : Array[2006][1] : Value = 502665 (282000 / 502693)
qcount=2 / qend=4 / v_quarter=3
513043
2006(2) : Array[2006][2] : Value = 513043 (282000 / 513043)
qcount=3 / qend=4 / v_quarter=3
510843
2006(3) : Array[2006][3] : Value = 510843 (282000 / 513043)
qcount=4 / qend=4 / v_quarter=3
519049
2006(4) : Array[2006][4] : Value = 519049 (282000 / 519049)
p_year=1995 / ycount=2007 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
522941
2007(1) : Array[2007][1] : Value = 522941 (282000 / 522941)
qcount=2 / qend=4 / v_quarter=3
518936
2007(2) : Array[2007][2] : Value = 518936 (282000 / 522941)
qcount=3 / qend=4 / v_quarter=3
516483
2007(3) : Array[2007][3] : Value = 516483 (282000 / 522941)
qcount=4 / qend=4 / v_quarter=3
518372
2007(4) : Array[2007][4] : Value = 518372 (282000 / 522941)
p_year=1995 / ycount=2008 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
524351
2008(1) : Array[2008][1] : Value = 524351 (282000 / 524351)
qcount=2 / qend=4 / v_quarter=3
518147
2008(2) : Array[2008][2] : Value = 518147 (282000 / 524351)
qcount=3 / qend=4 / v_quarter=3
508869
2008(3) : Array[2008][3] : Value = 508869 (282000 / 524351)
qcount=4 / qend=4 / v_quarter=3
514622
2008(4) : Array[2008][4] : Value = 514622 (282000 / 524351)
p_year=1995 / ycount=2009 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
513212
2009(1) : Array[2009][1] : Value = 513212 (282000 / 524351)
qcount=2 / qend=4 / v_quarter=3
504075
2009(2) : Array[2009][2] : Value = 504075 (282000 / 524351)
qcount=3 / qend=4 / v_quarter=3
505654
2009(3) : Array[2009][3] : Value = 505654 (282000 / 524351)
qcount=4 / qend=4 / v_quarter=3
500973
2009(4) : Array[2009][4] : Value = 500973 (282000 / 524351)
p_year=1995 / ycount=2010 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
497138
2010(1) : Array[2010][1] : Value = 497138 (282000 / 524351)
qcount=2 / qend=4 / v_quarter=3
495587
2010(2) : Array[2010][2] : Value = 495587 (282000 / 524351)
qcount=3 / qend=4 / v_quarter=3
497645
2010(3) : Array[2010][3] : Value = 497645 (282000 / 524351)
qcount=4 / qend=4 / v_quarter=3
500014
2010(4) : Array[2010][4] : Value = 500014 (282000 / 524351)
p_year=1995 / ycount=2011 / v_year=2011

function check_quarter():

Data for the 1 quarter is in the $c[Lawrence, KS][2011] element.
qcount=1 / qend=3 / v_quarter=3
485660
2011(1) : Array[2011][1] : Value = 485660 (282000 / 524351)
qcount=2 / qend=3 / v_quarter=3
489693
2011(2) : Array[2011][2] : Value = 489693 (282000 / 524351)
qcount=3 / qend=3 / v_quarter=3
490313
2011(3) : Array[2011][3] : Value = 490313 (282000 / 524351)

function get_valuation():

Purchase price: $282000
Purchase year: 1995
Purchase quarter: 1
Start price index:100.00
Current price index:154.86
Based on HPI the home has appreciated 54.86% in 16.5 years at an average rate of 3.32% per year.
The current appreciations value is: $436705.2
Evaluation year: 2011
Evaluation quarter: 3
Evaluation period: 16.5 years (66 quarters or 198 months).


Syracuse, NY
282000
1995
1
2011
3
16.5
66
198
436705.2
0.5486
0.033248484848485
100.00
154.86
p_year=1995 / ycount=1995 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
282000
1995(1) : Array[1995][1] : Value = 282000 (282000 / 282000)
qcount=2 / qend=4 / v_quarter=3
284369
1995(2) : Array[1995][2] : Value = 284369 (282000 / 284369)
qcount=3 / qend=4 / v_quarter=3
287330
1995(3) : Array[1995][3] : Value = 287330 (282000 / 287330)
qcount=4 / qend=4 / v_quarter=3
286512
1995(4) : Array[1995][4] : Value = 286512 (282000 / 287330)
p_year=1995 / ycount=1996 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
289078
1996(1) : Array[1996][1] : Value = 289078 (282000 / 289078)
qcount=2 / qend=4 / v_quarter=3
284792
1996(2) : Array[1996][2] : Value = 284792 (282000 / 289078)
qcount=3 / qend=4 / v_quarter=3
283438
1996(3) : Array[1996][3] : Value = 283438 (282000 / 289078)
qcount=4 / qend=4 / v_quarter=3
277488
1996(4) : Array[1996][4] : Value = 277488 (277488 / 289078)
p_year=1995 / ycount=1997 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
277967
1997(1) : Array[1997][1] : Value = 277967 (277488 / 289078)
qcount=2 / qend=4 / v_quarter=3
281803
1997(2) : Array[1997][2] : Value = 281803 (277488 / 289078)
qcount=3 / qend=4 / v_quarter=3
279688
1997(3) : Array[1997][3] : Value = 279688 (277488 / 289078)
qcount=4 / qend=4 / v_quarter=3
284538
1997(4) : Array[1997][4] : Value = 284538 (277488 / 289078)
p_year=1995 / ycount=1998 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
288514
1998(1) : Array[1998][1] : Value = 288514 (277488 / 289078)
qcount=2 / qend=4 / v_quarter=3
289755
1998(2) : Array[1998][2] : Value = 289755 (277488 / 289755)
qcount=3 / qend=4 / v_quarter=3
289981
1998(3) : Array[1998][3] : Value = 289981 (277488 / 289981)
qcount=4 / qend=4 / v_quarter=3
294972
1998(4) : Array[1998][4] : Value = 294972 (277488 / 294972)
p_year=1995 / ycount=1999 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
294746
1999(1) : Array[1999][1] : Value = 294746 (277488 / 294972)
qcount=2 / qend=4 / v_quarter=3
292970
1999(2) : Array[1999][2] : Value = 292970 (277488 / 294972)
qcount=3 / qend=4 / v_quarter=3
293844
1999(3) : Array[1999][3] : Value = 293844 (277488 / 294972)
qcount=4 / qend=4 / v_quarter=3
296551
1999(4) : Array[1999][4] : Value = 296551 (277488 / 296551)
p_year=1995 / ycount=2000 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
294831
2000(1) : Array[2000][1] : Value = 294831 (277488 / 296551)
qcount=2 / qend=4 / v_quarter=3
300217
2000(2) : Array[2000][2] : Value = 300217 (277488 / 300217)
qcount=3 / qend=4 / v_quarter=3
303460
2000(3) : Array[2000][3] : Value = 303460 (277488 / 303460)
qcount=4 / qend=4 / v_quarter=3
308705
2000(4) : Array[2000][4] : Value = 308705 (277488 / 308705)
p_year=1995 / ycount=2001 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
312033
2001(1) : Array[2001][1] : Value = 312033 (277488 / 312033)
qcount=2 / qend=4 / v_quarter=3
316912
2001(2) : Array[2001][2] : Value = 316912 (277488 / 316912)
qcount=3 / qend=4 / v_quarter=3
320352
2001(3) : Array[2001][3] : Value = 320352 (277488 / 320352)
qcount=4 / qend=4 / v_quarter=3
323764
2001(4) : Array[2001][4] : Value = 323764 (277488 / 323764)
p_year=1995 / ycount=2002 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
328784
2002(1) : Array[2002][1] : Value = 328784 (277488 / 328784)
qcount=2 / qend=4 / v_quarter=3
332873
2002(2) : Array[2002][2] : Value = 332873 (277488 / 332873)
qcount=3 / qend=4 / v_quarter=3
340064
2002(3) : Array[2002][3] : Value = 340064 (277488 / 340064)
qcount=4 / qend=4 / v_quarter=3
344548
2002(4) : Array[2002][4] : Value = 344548 (277488 / 344548)
p_year=1995 / ycount=2003 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
349060
2003(1) : Array[2003][1] : Value = 349060 (277488 / 349060)
qcount=2 / qend=4 / v_quarter=3
351090
2003(2) : Array[2003][2] : Value = 351090 (277488 / 351090)
qcount=3 / qend=4 / v_quarter=3
356674
2003(3) : Array[2003][3] : Value = 356674 (277488 / 356674)
qcount=4 / qend=4 / v_quarter=3
363724
2003(4) : Array[2003][4] : Value = 363724 (277488 / 363724)
p_year=1995 / ycount=2004 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
368066
2004(1) : Array[2004][1] : Value = 368066 (277488 / 368066)
qcount=2 / qend=4 / v_quarter=3
379741
2004(2) : Array[2004][2] : Value = 379741 (277488 / 379741)
qcount=3 / qend=4 / v_quarter=3
387947
2004(3) : Array[2004][3] : Value = 387947 (277488 / 387947)
qcount=4 / qend=4 / v_quarter=3
393898
2004(4) : Array[2004][4] : Value = 393898 (277488 / 393898)
p_year=1995 / ycount=2005 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
393700
2005(1) : Array[2005][1] : Value = 393700 (277488 / 393898)
qcount=2 / qend=4 / v_quarter=3
405939
2005(2) : Array[2005][2] : Value = 405939 (277488 / 405939)
qcount=3 / qend=4 / v_quarter=3
411494
2005(3) : Array[2005][3] : Value = 411494 (277488 / 411494)
qcount=4 / qend=4 / v_quarter=3
418319
2005(4) : Array[2005][4] : Value = 418319 (277488 / 418319)
p_year=1995 / ycount=2006 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
421816
2006(1) : Array[2006][1] : Value = 421816 (277488 / 421816)
qcount=2 / qend=4 / v_quarter=3
426328
2006(2) : Array[2006][2] : Value = 426328 (277488 / 426328)
qcount=3 / qend=4 / v_quarter=3
430896
2006(3) : Array[2006][3] : Value = 430896 (277488 / 430896)
qcount=4 / qend=4 / v_quarter=3
431742
2006(4) : Array[2006][4] : Value = 431742 (277488 / 431742)
p_year=1995 / ycount=2007 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
431629
2007(1) : Array[2007][1] : Value = 431629 (277488 / 431742)
qcount=2 / qend=4 / v_quarter=3
443896
2007(2) : Array[2007][2] : Value = 443896 (277488 / 443896)
qcount=3 / qend=4 / v_quarter=3
437636
2007(3) : Array[2007][3] : Value = 437636 (277488 / 443896)
qcount=4 / qend=4 / v_quarter=3
434675
2007(4) : Array[2007][4] : Value = 434675 (277488 / 443896)
p_year=1995 / ycount=2008 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
446885
2008(1) : Array[2008][1] : Value = 446885 (277488 / 446885)
qcount=2 / qend=4 / v_quarter=3
441471
2008(2) : Array[2008][2] : Value = 441471 (277488 / 446885)
qcount=3 / qend=4 / v_quarter=3
441330
2008(3) : Array[2008][3] : Value = 441330 (277488 / 446885)
qcount=4 / qend=4 / v_quarter=3
440202
2008(4) : Array[2008][4] : Value = 440202 (277488 / 446885)
p_year=1995 / ycount=2009 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
449057
2009(1) : Array[2009][1] : Value = 449057 (277488 / 449057)
qcount=2 / qend=4 / v_quarter=3
445645
2009(2) : Array[2009][2] : Value = 445645 (277488 / 449057)
qcount=3 / qend=4 / v_quarter=3
444037
2009(3) : Array[2009][3] : Value = 444037 (277488 / 449057)
qcount=4 / qend=4 / v_quarter=3
445024
2009(4) : Array[2009][4] : Value = 445024 (277488 / 449057)
p_year=1995 / ycount=2010 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
442712
2010(1) : Array[2010][1] : Value = 442712 (277488 / 449057)
qcount=2 / qend=4 / v_quarter=3
442261
2010(2) : Array[2010][2] : Value = 442261 (277488 / 449057)
qcount=3 / qend=4 / v_quarter=3
445814
2010(3) : Array[2010][3] : Value = 445814 (277488 / 449057)
qcount=4 / qend=4 / v_quarter=3
443248
2010(4) : Array[2010][4] : Value = 443248 (277488 / 449057)
p_year=1995 / ycount=2011 / v_year=2011

function check_quarter():

Data for the 1 quarter is in the $c[Syracuse, NY][2011] element.
qcount=1 / qend=3 / v_quarter=3
440935
2011(1) : Array[2011][1] : Value = 440935 (277488 / 449057)
qcount=2 / qend=3 / v_quarter=3
438961
2011(2) : Array[2011][2] : Value = 438961 (277488 / 449057)
qcount=3 / qend=3 / v_quarter=3
436705
2011(3) : Array[2011][3] : Value = 436705 (277488 / 449057)
HomePriceGraph.com+++++++++++++++++++++Price+appreciation+in+Lawrence%2C+KS+for+years+1995+to+2011++++++++++++++++++++++++++++++++++++++++++++++++++++++%7CTotal+appreciation+%3D+%24208%2C313%2873.87%25%29+++Start%3A+%24282%2C000+End%3A+%24490%2C313
t:282000,290827,290488,293675,299428,303206,309890,306703,312061,315840,323567,323031,328756,332845,339697,343843,347311,350836,358309,362821,374468,374609,378613,385973,391134,397253,403260,405826,415245,417783,423733,426215,429853,435549,441697,451990,459745,465215,471109,478836,491131,497279,501875,502693,502665,513043,510843,519049,522941,518936,516483,518372,524351,518147,508869,514622,513212,504075,505654,500973,497138,495587,497645,500014,485660,489693,490313|282000,284369,287330,286512,289078,284792,283438,277488,277967,281803,279688,284538,288514,289755,289981,294972,294746,292970,293844,296551,294831,300217,303460,308705,312033,316912,320352,323764,328784,332873,340064,344548,349060,351090,356674,363724,368066,379741,387947,393898,393700,405939,411494,418319,421816,426328,430896,431742,431629,443896,437636,434675,446885,441471,441330,440202,449057,445645,444037,445024,442712,442261,445814,443248,440935,438961,436705
95|.|.|.|96|.|.|.|97|.|.|.|98|.|.|.|99|.|.|.|00|.|.|.|01|.|.|.|02|.|.|.|03|.|.|.|04|.|.|.|05|.|.|.|06|.|.|.|07|.|.|.|08|.|.|.|09|.|.|.|10|.|.|.|11|.|.|
269000
536000
50000
269000
536000
Lawrence, KS|Syracuse, NY
0
52
1995
2008
1
1
282000
524351

function graph():

post_chtt HomePriceGraph.com Price appreciation in Lawrence, KS for years 1995 to 2011 |Total appreciation = $208,313(73.87%) Start: $282,000 End: $490,313
post_cht ls
post_chd t:282000,290827,290488,293675,299428,303206,309890,306703,312061,315840,323567,323031,328756,332845,339697,343843,347311,350836,358309,362821,374468,374609,378613,385973,391134,397253,403260,405826,415245,417783,423733,426215,429853,435549,441697,451990,459745,465215,471109,478836,491131,497279,501875,502693,502665,513043,510843,519049,522941,518936,516483,518372,524351,518147,508869,514622,513212,504075,505654,500973,497138,495587,497645,500014,485660,489693,490313|282000,284369,287330,286512,289078,284792,283438,277488,277967,281803,279688,284538,288514,289755,289981,294972,294746,292970,293844,296551,294831,300217,303460,308705,312033,316912,320352,323764,328784,332873,340064,344548,349060,351090,356674,363724,368066,379741,387947,393898,393700,405939,411494,418319,421816,426328,430896,431742,431629,443896,437636,434675,446885,441471,441330,440202,449057,445645,444037,445024,442712,442261,445814,443248,440935,438961,436705
post_chl 95|.|.|.|96|.|.|.|97|.|.|.|98|.|.|.|99|.|.|.|00|.|.|.|01|.|.|.|02|.|.|.|03|.|.|.|04|.|.|.|05|.|.|.|06|.|.|.|07|.|.|.|08|.|.|.|09|.|.|.|10|.|.|.|11|.|.|
post_chxl
post_chbh a
post_chco 3972cc,cccccc
post_chs 800x375
post_chdl Lawrence, KS|Syracuse, NY
post_chxt x,y
post_chxr 1,269000,536000,50000
post_chxs 1,0000DD,18,0,lt,0000DD|2,0000DD,0,l
post_chxtc 1,-800|2,-800
post_chds 269000,536000
post_chf
http://chart.apis.google.com/chart?chid=5d029b7616819422429e4a56dda672ae+chtt=HomePriceGraph.com+++++++++++++++++++++Price+appreciation+in+Lawrence%2C+KS+for+years+1995+to+2011++++++++++++++++++++++++++++++++++++++++++++++++++++++%7CTotal+appreciation+%3D+%24208%2C313%2873.87%25%29+++Start%3A+%24282%2C000+End%3A+%24490%2C313&cht=ls&chd=t%3A282000%2C290827%2C290488%2C293675%2C299428%2C303206%2C309890%2C306703%2C312061%2C315840%2C323567%2C323031%2C328756%2C332845%2C339697%2C343843%2C347311%2C350836%2C358309%2C362821%2C374468%2C374609%2C378613%2C385973%2C391134%2C397253%2C403260%2C405826%2C415245%2C417783%2C423733%2C426215%2C429853%2C435549%2C441697%2C451990%2C459745%2C465215%2C471109%2C478836%2C491131%2C497279%2C501875%2C502693%2C502665%2C513043%2C510843%2C519049%2C522941%2C518936%2C516483%2C518372%2C524351%2C518147%2C508869%2C514622%2C513212%2C504075%2C505654%2C500973%2C497138%2C495587%2C497645%2C500014%2C485660%2C489693%2C490313%7C282000%2C284369%2C287330%2C286512%2C289078%2C284792%2C283438%2C277488%2C277967%2C281803%2C279688%2C284538%2C288514%2C289755%2C289981%2C294972%2C294746%2C292970%2C293844%2C296551%2C294831%2C300217%2C303460%2C308705%2C312033%2C316912%2C320352%2C323764%2C328784%2C332873%2C340064%2C344548%2C349060%2C351090%2C356674%2C363724%2C368066%2C379741%2C387947%2C393898%2C393700%2C405939%2C411494%2C418319%2C421816%2C426328%2C430896%2C431742%2C431629%2C443896%2C437636%2C434675%2C446885%2C441471%2C441330%2C440202%2C449057%2C445645%2C444037%2C445024%2C442712%2C442261%2C445814%2C443248%2C440935%2C438961%2C436705&chl=95%7C.%7C.%7C.%7C96%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.%7C11%7C.%7C.%7C&chbh=a&chco=3972cc%2Ccccccc&chs=800x375&chxt=x%2Cy&chxr=1%2C269000%2C536000%2C50000&chxs=1%2C0000DD%2C18%2C0%2Clt%2C0000DD%7C2%2C0000DD%2C0%2Cl&chxtc=1%2C-800%7C2%2C-800&chds=269000%2C536000&chdl=Lawrence%2C+KS%7CSyracuse%2C+NY&chdlp=b&chm=tLOW+%3A+%24282%5C%2C000+in+1995%2C3972dd%2C0%2C0%2C16%2C%2Cl%3A%3A-10%7CtHIGH+%3A+%24524%5C%2C351+in+2008%2C3972dd%2C0%2C52%2C16%2C%2Cl%3A%3A1&chma=70%2C30%2C30%2C30DEBUGGING so... exiting before image dump...