$City_1 = Philadelphia, PA (MSAD)
$e =
$City_2 = Lancaster, PA
$e =
function get_years(Array,Philadelphia, PA (MSAD),) {
1960
Selecting city: Philadelphia, PA (MSAD)
Searching backwards from 2025 for most recent data.
0: Year 2025 not found in data for Philadelphia, PA (MSAD).
Most recent data for Philadelphia, PA (MSAD) 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 Philadelphia, PA (MSAD) is : 1976 the most recent year of data is 2024.
return Array
}
function get_years(Array,Lancaster, PA,) {
1960
Selecting city: Lancaster, PA
Searching backwards from 2025 for most recent data.
0: Year 2025 not found in data for Lancaster, PA.
Most recent data for Lancaster, 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
1979
The first year data is available for Lancaster, PA is : 1979 the most recent year of data is 2024.
return Array
}

Inputs:

City_1 Philadelphia, PA (MSAD)
City_2 Lancaster, PA
Price 313000
YearStart 1996
QuarterStart 1
YearEnd 2008
QuarterEnd 3

function check_year(Philadelphia, PA (MSAD),1996):

Data for 1996 is in the $c[Philadelphia, PA (MSAD)] element.

function check_quarter():

Data for the 1 quarter is in the $c[Philadelphia, PA (MSAD)][1996] element.
START $v_year = 2008

function check_year(Philadelphia, PA (MSAD),2008):

Data for 2008 is in the $c[Philadelphia, PA (MSAD)] element.
END $v_year = 2008

function check_quarter():

Data for the 3 quarter is in the $c[Philadelphia, PA (MSAD)][2008] element.

function check_year(Lancaster, PA,1996):

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

function check_quarter():

Data for the 1 quarter is in the $c[Lancaster, PA][1996] element.

function check_year(Lancaster, PA,2008):

Data for 2008 is in the $c[Lancaster, PA] element.

function check_quarter():

Data for the 3 quarter is in the $c[Lancaster, PA][2008] element.

function get_valuation():

Purchase price: $313000
Purchase year: 1996
Purchase quarter: 1
Start price index:105.33
Current price index:228.52
Based on HPI the home has appreciated 116.96% in 12.5 years at an average rate of 9.36% per year.
The current appreciations value is: $679073.01
Evaluation year: 2008
Evaluation quarter: 3
Evaluation period: 12.5 years (50 quarters or 150 months).


Array ( [0] => Philadelphia, PA (MSAD) [1] => 313000 [2] => 1996 [3] => 1 [4] => 2008 [5] => 3 [6] => 12.5 [7] => 50 [8] => 150 [9] => 679073.01 [10] => 1.1695623279218 [11] => 0.093564986233742 ) 1
Philadelphia, PA (MSAD)
313000
1996
1
2008
3
12.5
50
150
679073.01
1.1695623279218
0.093564986233742
Philadelphia, PA (MSAD)
313000
1996
1
2008
3
12.5
50
150
679073.01
1.1695623279218
0.093564986233742
105.33
228.52
p_year=1996 / ycount=1996 / v_year=2008
qcount=1 / qend=4 / v_quarter=3
313000
1996(1) : Array[1996][1] : Value = 313000 (313000 / 313000)
qcount=2 / qend=4 / v_quarter=3
307295
1996(2) : Array[1996][2] : Value = 307295 (307295 / 313000)
qcount=3 / qend=4 / v_quarter=3
304234
1996(3) : Array[1996][3] : Value = 304234 (304234 / 313000)
qcount=4 / qend=4 / v_quarter=3
307265
1996(4) : Array[1996][4] : Value = 307265 (304234 / 313000)
p_year=1996 / ycount=1997 / v_year=2008
qcount=1 / qend=4 / v_quarter=3
308186
1997(1) : Array[1997][1] : Value = 308186 (304234 / 313000)
qcount=2 / qend=4 / v_quarter=3
307265
1997(2) : Array[1997][2] : Value = 307265 (304234 / 313000)
qcount=3 / qend=4 / v_quarter=3
309493
1997(3) : Array[1997][3] : Value = 309493 (304234 / 313000)
qcount=4 / qend=4 / v_quarter=3
312911
1997(4) : Array[1997][4] : Value = 312911 (304234 / 313000)
p_year=1996 / ycount=1998 / v_year=2008
qcount=1 / qend=4 / v_quarter=3
318824
1998(1) : Array[1998][1] : Value = 318824 (304234 / 318824)
qcount=2 / qend=4 / v_quarter=3
319775
1998(2) : Array[1998][2] : Value = 319775 (304234 / 319775)
qcount=3 / qend=4 / v_quarter=3
318171
1998(3) : Array[1998][3] : Value = 318171 (304234 / 319775)
qcount=4 / qend=4 / v_quarter=3
324381
1998(4) : Array[1998][4] : Value = 324381 (304234 / 324381)
p_year=1996 / ycount=1999 / v_year=2008
qcount=1 / qend=4 / v_quarter=3
326402
1999(1) : Array[1999][1] : Value = 326402 (304234 / 326402)
qcount=2 / qend=4 / v_quarter=3
327145
1999(2) : Array[1999][2] : Value = 327145 (304234 / 327145)
qcount=3 / qend=4 / v_quarter=3
329225
1999(3) : Array[1999][3] : Value = 329225 (304234 / 329225)
qcount=4 / qend=4 / v_quarter=3
331008
1999(4) : Array[1999][4] : Value = 331008 (304234 / 331008)
p_year=1996 / ycount=2000 / v_year=2008
qcount=1 / qend=4 / v_quarter=3
331929
2000(1) : Array[2000][1] : Value = 331929 (304234 / 331929)
qcount=2 / qend=4 / v_quarter=3
340606
2000(2) : Array[2000][2] : Value = 340606 (304234 / 340606)
qcount=3 / qend=4 / v_quarter=3
343964
2000(3) : Array[2000][3] : Value = 343964 (304234 / 343964)
qcount=4 / qend=4 / v_quarter=3
350115
2000(4) : Array[2000][4] : Value = 350115 (304234 / 350115)
p_year=1996 / ycount=2001 / v_year=2008
qcount=1 / qend=4 / v_quarter=3
360635
2001(1) : Array[2001][1] : Value = 360635 (304234 / 360635)
qcount=2 / qend=4 / v_quarter=3
369074
2001(2) : Array[2001][2] : Value = 369074 (304234 / 369074)
qcount=3 / qend=4 / v_quarter=3
378257
2001(3) : Array[2001][3] : Value = 378257 (304234 / 378257)
qcount=4 / qend=4 / v_quarter=3
386042
2001(4) : Array[2001][4] : Value = 386042 (304234 / 386042)
p_year=1996 / ycount=2002 / v_year=2008
qcount=1 / qend=4 / v_quarter=3
394868
2002(1) : Array[2002][1] : Value = 394868 (304234 / 394868)
qcount=2 / qend=4 / v_quarter=3
405061
2002(2) : Array[2002][2] : Value = 405061 (304234 / 405061)
qcount=3 / qend=4 / v_quarter=3
418225
2002(3) : Array[2002][3] : Value = 418225 (304234 / 418225)
qcount=4 / qend=4 / v_quarter=3
428536
2002(4) : Array[2002][4] : Value = 428536 (304234 / 428536)
p_year=1996 / ycount=2003 / v_year=2008
qcount=1 / qend=4 / v_quarter=3
435698
2003(1) : Array[2003][1] : Value = 435698 (304234 / 435698)
qcount=2 / qend=4 / v_quarter=3
444494
2003(2) : Array[2003][2] : Value = 444494 (304234 / 444494)
qcount=3 / qend=4 / v_quarter=3
457391
2003(3) : Array[2003][3] : Value = 457391 (304234 / 457391)
qcount=4 / qend=4 / v_quarter=3
476320
2003(4) : Array[2003][4] : Value = 476320 (304234 / 476320)
p_year=1996 / ycount=2004 / v_year=2008
qcount=1 / qend=4 / v_quarter=3
488919
2004(1) : Array[2004][1] : Value = 488919 (304234 / 488919)
qcount=2 / qend=4 / v_quarter=3
509424
2004(2) : Array[2004][2] : Value = 509424 (304234 / 509424)
qcount=3 / qend=4 / v_quarter=3
537921
2004(3) : Array[2004][3] : Value = 537921 (304234 / 537921)
qcount=4 / qend=4 / v_quarter=3
555870
2004(4) : Array[2004][4] : Value = 555870 (304234 / 555870)
p_year=1996 / ycount=2005 / v_year=2008
qcount=1 / qend=4 / v_quarter=3
572333
2005(1) : Array[2005][1] : Value = 572333 (304234 / 572333)
qcount=2 / qend=4 / v_quarter=3
600890
2005(2) : Array[2005][2] : Value = 600890 (304234 / 600890)
qcount=3 / qend=4 / v_quarter=3
625019
2005(3) : Array[2005][3] : Value = 625019 (304234 / 625019)
qcount=4 / qend=4 / v_quarter=3
642017
2005(4) : Array[2005][4] : Value = 642017 (304234 / 642017)
p_year=1996 / ycount=2006 / v_year=2008
qcount=1 / qend=4 / v_quarter=3
653071
2006(1) : Array[2006][1] : Value = 653071 (304234 / 653071)
qcount=2 / qend=4 / v_quarter=3
664096
2006(2) : Array[2006][2] : Value = 664096 (304234 / 664096)
qcount=3 / qend=4 / v_quarter=3
672417
2006(3) : Array[2006][3] : Value = 672417 (304234 / 672417)
qcount=4 / qend=4 / v_quarter=3
681480
2006(4) : Array[2006][4] : Value = 681480 (304234 / 681480)
p_year=1996 / ycount=2007 / v_year=2008
qcount=1 / qend=4 / v_quarter=3
687512
2007(1) : Array[2007][1] : Value = 687512 (304234 / 687512)
qcount=2 / qend=4 / v_quarter=3
690514
2007(2) : Array[2007][2] : Value = 690514 (304234 / 690514)
qcount=3 / qend=4 / v_quarter=3
691583
2007(3) : Array[2007][3] : Value = 691583 (304234 / 691583)
qcount=4 / qend=4 / v_quarter=3
692891
2007(4) : Array[2007][4] : Value = 692891 (304234 / 692891)
p_year=1996 / ycount=2008 / v_year=2008

function check_quarter():

Data for the 1 quarter is in the $c[Philadelphia, PA (MSAD)][2008] element.
qcount=1 / qend=3 / v_quarter=3
695714
2008(1) : Array[2008][1] : Value = 695714 (304234 / 695714)
qcount=2 / qend=3 / v_quarter=3
688701
2008(2) : Array[2008][2] : Value = 688701 (304234 / 695714)
qcount=3 / qend=3 / v_quarter=3
679073
2008(3) : Array[2008][3] : Value = 679073 (304234 / 695714)

function get_valuation():

Purchase price: $313000
Purchase year: 1996
Purchase quarter: 1
Start price index:105.04
Current price index:176.59
Based on HPI the home has appreciated 68.12% in 12.5 years at an average rate of 5.45% per year.
The current appreciations value is: $526205.92
Evaluation year: 2008
Evaluation quarter: 3
Evaluation period: 12.5 years (50 quarters or 150 months).


Lancaster, PA
313000
1996
1
2008
3
12.5
50
150
526205.92
0.68116907844631
0.054493526275704
105.04
176.59
p_year=1996 / ycount=1996 / v_year=2008
qcount=1 / qend=4 / v_quarter=3
313000
1996(1) : Array[1996][1] : Value = 313000 (313000 / 313000)
qcount=2 / qend=4 / v_quarter=3
310616
1996(2) : Array[1996][2] : Value = 310616 (310616 / 313000)
qcount=3 / qend=4 / v_quarter=3
309901
1996(3) : Array[1996][3] : Value = 309901 (309901 / 313000)
qcount=4 / qend=4 / v_quarter=3
314341
1996(4) : Array[1996][4] : Value = 314341 (309901 / 314341)
p_year=1996 / ycount=1997 / v_year=2008
qcount=1 / qend=4 / v_quarter=3
314758
1997(1) : Array[1997][1] : Value = 314758 (309901 / 314758)
qcount=2 / qend=4 / v_quarter=3
313864
1997(2) : Array[1997][2] : Value = 313864 (309901 / 314758)
qcount=3 / qend=4 / v_quarter=3
316814
1997(3) : Array[1997][3] : Value = 316814 (309901 / 316814)
qcount=4 / qend=4 / v_quarter=3
319794
1997(4) : Array[1997][4] : Value = 319794 (309901 / 319794)
p_year=1996 / ycount=1998 / v_year=2008
qcount=1 / qend=4 / v_quarter=3
323280
1998(1) : Array[1998][1] : Value = 323280 (309901 / 323280)
qcount=2 / qend=4 / v_quarter=3
325873
1998(2) : Array[1998][2] : Value = 325873 (309901 / 325873)
qcount=3 / qend=4 / v_quarter=3
326648
1998(3) : Array[1998][3] : Value = 326648 (309901 / 326648)
qcount=4 / qend=4 / v_quarter=3
329329
1998(4) : Array[1998][4] : Value = 329329 (309901 / 329329)
p_year=1996 / ycount=1999 / v_year=2008
qcount=1 / qend=4 / v_quarter=3
330194
1999(1) : Array[1999][1] : Value = 330194 (309901 / 330194)
qcount=2 / qend=4 / v_quarter=3
330462
1999(2) : Array[1999][2] : Value = 330462 (309901 / 330462)
qcount=3 / qend=4 / v_quarter=3
332488
1999(3) : Array[1999][3] : Value = 332488 (309901 / 332488)
qcount=4 / qend=4 / v_quarter=3
333352
1999(4) : Array[1999][4] : Value = 333352 (309901 / 333352)
p_year=1996 / ycount=2000 / v_year=2008
qcount=1 / qend=4 / v_quarter=3
333531
2000(1) : Array[2000][1] : Value = 333531 (309901 / 333531)
qcount=2 / qend=4 / v_quarter=3
336272
2000(2) : Array[2000][2] : Value = 336272 (309901 / 336272)
qcount=3 / qend=4 / v_quarter=3
337762
2000(3) : Array[2000][3] : Value = 337762 (309901 / 337762)
qcount=4 / qend=4 / v_quarter=3
339878
2000(4) : Array[2000][4] : Value = 339878 (309901 / 339878)
p_year=1996 / ycount=2001 / v_year=2008
qcount=1 / qend=4 / v_quarter=3
348490
2001(1) : Array[2001][1] : Value = 348490 (309901 / 348490)
qcount=2 / qend=4 / v_quarter=3
350188
2001(2) : Array[2001][2] : Value = 350188 (309901 / 350188)
qcount=3 / qend=4 / v_quarter=3
352155
2001(3) : Array[2001][3] : Value = 352155 (309901 / 352155)
qcount=4 / qend=4 / v_quarter=3
357995
2001(4) : Array[2001][4] : Value = 357995 (309901 / 357995)
p_year=1996 / ycount=2002 / v_year=2008
qcount=1 / qend=4 / v_quarter=3
360886
2002(1) : Array[2002][1] : Value = 360886 (309901 / 360886)
qcount=2 / qend=4 / v_quarter=3
363478
2002(2) : Array[2002][2] : Value = 363478 (309901 / 363478)
qcount=3 / qend=4 / v_quarter=3
369170
2002(3) : Array[2002][3] : Value = 369170 (309901 / 369170)
qcount=4 / qend=4 / v_quarter=3
372477
2002(4) : Array[2002][4] : Value = 372477 (309901 / 372477)
p_year=1996 / ycount=2003 / v_year=2008
qcount=1 / qend=4 / v_quarter=3
377632
2003(1) : Array[2003][1] : Value = 377632 (309901 / 377632)
qcount=2 / qend=4 / v_quarter=3
382907
2003(2) : Array[2003][2] : Value = 382907 (309901 / 382907)
qcount=3 / qend=4 / v_quarter=3
387495
2003(3) : Array[2003][3] : Value = 387495 (309901 / 387495)
qcount=4 / qend=4 / v_quarter=3
398044
2003(4) : Array[2003][4] : Value = 398044 (309901 / 398044)
p_year=1996 / ycount=2004 / v_year=2008
qcount=1 / qend=4 / v_quarter=3
404242
2004(1) : Array[2004][1] : Value = 404242 (309901 / 404242)
qcount=2 / qend=4 / v_quarter=3
413837
2004(2) : Array[2004][2] : Value = 413837 (309901 / 413837)
qcount=3 / qend=4 / v_quarter=3
430256
2004(3) : Array[2004][3] : Value = 430256 (309901 / 430256)
qcount=4 / qend=4 / v_quarter=3
438808
2004(4) : Array[2004][4] : Value = 438808 (309901 / 438808)
p_year=1996 / ycount=2005 / v_year=2008
qcount=1 / qend=4 / v_quarter=3
445900
2005(1) : Array[2005][1] : Value = 445900 (309901 / 445900)
qcount=2 / qend=4 / v_quarter=3
458802
2005(2) : Array[2005][2] : Value = 458802 (309901 / 458802)
qcount=3 / qend=4 / v_quarter=3
475132
2005(3) : Array[2005][3] : Value = 475132 (309901 / 475132)
qcount=4 / qend=4 / v_quarter=3
488452
2005(4) : Array[2005][4] : Value = 488452 (309901 / 488452)
p_year=1996 / ycount=2006 / v_year=2008
qcount=1 / qend=4 / v_quarter=3
498583
2006(1) : Array[2006][1] : Value = 498583 (309901 / 498583)
qcount=2 / qend=4 / v_quarter=3
505019
2006(2) : Array[2006][2] : Value = 505019 (309901 / 505019)
qcount=3 / qend=4 / v_quarter=3
513899
2006(3) : Array[2006][3] : Value = 513899 (309901 / 513899)
qcount=4 / qend=4 / v_quarter=3
519859
2006(4) : Array[2006][4] : Value = 519859 (309901 / 519859)
p_year=1996 / ycount=2007 / v_year=2008
qcount=1 / qend=4 / v_quarter=3
521468
2007(1) : Array[2007][1] : Value = 521468 (309901 / 521468)
qcount=2 / qend=4 / v_quarter=3
532672
2007(2) : Array[2007][2] : Value = 532672 (309901 / 532672)
qcount=3 / qend=4 / v_quarter=3
531450
2007(3) : Array[2007][3] : Value = 531450 (309901 / 532672)
qcount=4 / qend=4 / v_quarter=3
528113
2007(4) : Array[2007][4] : Value = 528113 (309901 / 532672)
p_year=1996 / ycount=2008 / v_year=2008

function check_quarter():

Data for the 1 quarter is in the $c[Lancaster, PA][2008] element.
qcount=1 / qend=3 / v_quarter=3
537529
2008(1) : Array[2008][1] : Value = 537529 (309901 / 537529)
qcount=2 / qend=3 / v_quarter=3
531868
2008(2) : Array[2008][2] : Value = 531868 (309901 / 537529)
qcount=3 / qend=3 / v_quarter=3
526206
2008(3) : Array[2008][3] : Value = 526206 (309901 / 537529)
HomePriceGraph.com+++++++++Price+appreciation+in+Philadelphia%2C+PA++%28MSAD%29+for+years+1996+to+2008++++++++++++++++++++++++++++++++++++++++++%7CTotal+appreciation+%3D+%24366%2C073%28116.96%25%29+++Start%3A+%24313%2C000+End%3A+%24679%2C073
t:313000,307295,304234,307265,308186,307265,309493,312911,318824,319775,318171,324381,326402,327145,329225,331008,331929,340606,343964,350115,360635,369074,378257,386042,394868,405061,418225,428536,435698,444494,457391,476320,488919,509424,537921,555870,572333,600890,625019,642017,653071,664096,672417,681480,687512,690514,691583,692891,695714,688701,679073|313000,310616,309901,314341,314758,313864,316814,319794,323280,325873,326648,329329,330194,330462,332488,333352,333531,336272,337762,339878,348490,350188,352155,357995,360886,363478,369170,372477,377632,382907,387495,398044,404242,413837,430256,438808,445900,458802,475132,488452,498583,505019,513899,519859,521468,532672,531450,528113,537529,531868,526206
96|.|.|.|97|.|.|.|98|.|.|.|99|.|.|.|00|.|.|.|01|.|.|.|02|.|.|.|03|.|.|.|04|.|.|.|05|.|.|.|06|.|.|.|07|.|.|.|08|.|.|
280000
720000
100000
280000
720000
Philadelphia, PA (MSAD)|Lancaster, PA
2
48
1996
2008
3
1
304234
695714

function graph():

post_chtt HomePriceGraph.com Price appreciation in Philadelphia, PA (MSAD) for years 1996 to 2008 |Total appreciation = $366,073(116.96%) Start: $313,000 End: $679,073
post_cht ls
post_chd t:313000,307295,304234,307265,308186,307265,309493,312911,318824,319775,318171,324381,326402,327145,329225,331008,331929,340606,343964,350115,360635,369074,378257,386042,394868,405061,418225,428536,435698,444494,457391,476320,488919,509424,537921,555870,572333,600890,625019,642017,653071,664096,672417,681480,687512,690514,691583,692891,695714,688701,679073|313000,310616,309901,314341,314758,313864,316814,319794,323280,325873,326648,329329,330194,330462,332488,333352,333531,336272,337762,339878,348490,350188,352155,357995,360886,363478,369170,372477,377632,382907,387495,398044,404242,413837,430256,438808,445900,458802,475132,488452,498583,505019,513899,519859,521468,532672,531450,528113,537529,531868,526206
post_chl 96|.|.|.|97|.|.|.|98|.|.|.|99|.|.|.|00|.|.|.|01|.|.|.|02|.|.|.|03|.|.|.|04|.|.|.|05|.|.|.|06|.|.|.|07|.|.|.|08|.|.|
post_chxl
post_chbh a
post_chco 3972cc,cccccc
post_chs 800x375
post_chdl Philadelphia, PA (MSAD)|Lancaster, PA
post_chxt x,y
post_chxr 1,280000,720000,100000
post_chxs 1,0000DD,18,0,lt,0000DD|2,0000DD,0,l
post_chxtc 1,-800|2,-800
post_chds 280000,720000
post_chf
http://chart.apis.google.com/chart?chid=c5bf7515a4f07b216ef797af059c7d6d+chtt=HomePriceGraph.com+++++++++Price+appreciation+in+Philadelphia%2C+PA++%28MSAD%29+for+years+1996+to+2008++++++++++++++++++++++++++++++++++++++++++%7CTotal+appreciation+%3D+%24366%2C073%28116.96%25%29+++Start%3A+%24313%2C000+End%3A+%24679%2C073&cht=ls&chd=t%3A313000%2C307295%2C304234%2C307265%2C308186%2C307265%2C309493%2C312911%2C318824%2C319775%2C318171%2C324381%2C326402%2C327145%2C329225%2C331008%2C331929%2C340606%2C343964%2C350115%2C360635%2C369074%2C378257%2C386042%2C394868%2C405061%2C418225%2C428536%2C435698%2C444494%2C457391%2C476320%2C488919%2C509424%2C537921%2C555870%2C572333%2C600890%2C625019%2C642017%2C653071%2C664096%2C672417%2C681480%2C687512%2C690514%2C691583%2C692891%2C695714%2C688701%2C679073%7C313000%2C310616%2C309901%2C314341%2C314758%2C313864%2C316814%2C319794%2C323280%2C325873%2C326648%2C329329%2C330194%2C330462%2C332488%2C333352%2C333531%2C336272%2C337762%2C339878%2C348490%2C350188%2C352155%2C357995%2C360886%2C363478%2C369170%2C372477%2C377632%2C382907%2C387495%2C398044%2C404242%2C413837%2C430256%2C438808%2C445900%2C458802%2C475132%2C488452%2C498583%2C505019%2C513899%2C519859%2C521468%2C532672%2C531450%2C528113%2C537529%2C531868%2C526206&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&chbh=a&chco=3972cc%2Ccccccc&chs=800x375&chxt=x%2Cy&chxr=1%2C280000%2C720000%2C100000&chxs=1%2C0000DD%2C18%2C0%2Clt%2C0000DD%7C2%2C0000DD%2C0%2Cl&chxtc=1%2C-800%7C2%2C-800&chds=280000%2C720000&chdl=Philadelphia%2C+PA++%28MSAD%29%7CLancaster%2C+PA&chdlp=b&chm=tLOW+%3A+%24304%5C%2C234+in+1996%2C3972dd%2C0%2C2%2C16%2C%2Cl%3A%3A-10%7CtHIGH+%3A+%24695%5C%2C714+in+2008%2C3972dd%2C0%2C48%2C16%2C%2Cl%3A%3A1&chma=70%2C30%2C30%2C30DEBUGGING so... exiting before image dump...