$City_1 = Philadelphia, PA (MSAD)
$e =
$City_2 = Miami-Miami Beach-Kendall, FL (MSAD)
$e =
function get_years(Array,Philadelphia, PA (MSAD),) {
1960
Selecting city: Philadelphia, PA (MSAD)
Searching backwards from 2026 for most recent data.
0: Year 2026 not found in data for Philadelphia, PA (MSAD).
1: 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,Miami-Miami Beach-Kendall, FL (MSAD),) {
1960
Selecting city: Miami-Miami Beach-Kendall, FL (MSAD)
Searching backwards from 2026 for most recent data.
0: Year 2026 not found in data for Miami-Miami Beach-Kendall, FL (MSAD).
1: Year 2025 not found in data for Miami-Miami Beach-Kendall, FL (MSAD).
Most recent data for Miami-Miami Beach-Kendall, FL (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
50
1975
The first year data is available for Miami-Miami Beach-Kendall, FL (MSAD) is : 1975 the most recent year of data is 2024.
return Array
}

Inputs:

City_1 Philadelphia, PA (MSAD)
City_2 Miami-Miami Beach-Kendall, FL (MSAD)
Price 100000
YearStart 2001
QuarterStart 1
YearEnd 2010
QuarterEnd 3

function check_year(Philadelphia, PA (MSAD),2001):

Data for 2001 is in the $c[Philadelphia, PA (MSAD)] element.

function check_quarter():

Data for the 1 quarter is in the $c[Philadelphia, PA (MSAD)][2001] element.
START $v_year = 2010

function check_year(Philadelphia, PA (MSAD),2010):

Data for 2010 is in the $c[Philadelphia, PA (MSAD)] element.
END $v_year = 2010

function check_quarter():

Data for the 3 quarter is in the $c[Philadelphia, PA (MSAD)][2010] element.

function check_year(Miami-Miami Beach-Kendall, FL (MSAD),2001):

Data for 2001 is in the $c[Miami-Miami Beach-Kendall, FL (MSAD)] element.

function check_quarter():

Data for the 1 quarter is in the $c[Miami-Miami Beach-Kendall, FL (MSAD)][2001] element.

function check_year(Miami-Miami Beach-Kendall, FL (MSAD),2010):

Data for 2010 is in the $c[Miami-Miami Beach-Kendall, FL (MSAD)] element.

function check_quarter():

Data for the 3 quarter is in the $c[Miami-Miami Beach-Kendall, FL (MSAD)][2010] element.

function get_valuation():

Purchase price: $100000
Purchase year: 2001
Purchase quarter: 1
Start price index:121.36
Current price index:221.17
Based on HPI the home has appreciated 82.24% in 9.5 years at an average rate of 8.66% per year.
The current appreciations value is: $182242.91
Evaluation year: 2010
Evaluation quarter: 3
Evaluation period: 9.5 years (38 quarters or 114 months).


Array ( [0] => Philadelphia, PA (MSAD) [1] => 100000 [2] => 2001 [3] => 1 [4] => 2010 [5] => 3 [6] => 9.5 [7] => 38 [8] => 114 [9] => 182242.91 [10] => 0.82242913645353 [11] => 0.08657148804774 ) 1
Philadelphia, PA (MSAD)
100000
2001
1
2010
3
9.5
38
114
182242.91
0.82242913645353
0.08657148804774
Philadelphia, PA (MSAD)
100000
2001
1
2010
3
9.5
38
114
182242.91
0.82242913645353
0.08657148804774
121.36
221.17
p_year=2001 / ycount=2001 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
100000
2001(1) : Array[2001][1] : Value = 100000 (100000 / 100000)
qcount=2 / qend=4 / v_quarter=3
102340
2001(2) : Array[2001][2] : Value = 102340 (100000 / 102340)
qcount=3 / qend=4 / v_quarter=3
104886
2001(3) : Array[2001][3] : Value = 104886 (100000 / 104886)
qcount=4 / qend=4 / v_quarter=3
107045
2001(4) : Array[2001][4] : Value = 107045 (100000 / 107045)
p_year=2001 / ycount=2002 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
109492
2002(1) : Array[2002][1] : Value = 109492 (100000 / 109492)
qcount=2 / qend=4 / v_quarter=3
112319
2002(2) : Array[2002][2] : Value = 112319 (100000 / 112319)
qcount=3 / qend=4 / v_quarter=3
115969
2002(3) : Array[2002][3] : Value = 115969 (100000 / 115969)
qcount=4 / qend=4 / v_quarter=3
118828
2002(4) : Array[2002][4] : Value = 118828 (100000 / 118828)
p_year=2001 / ycount=2003 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
120814
2003(1) : Array[2003][1] : Value = 120814 (100000 / 120814)
qcount=2 / qend=4 / v_quarter=3
123253
2003(2) : Array[2003][2] : Value = 123253 (100000 / 123253)
qcount=3 / qend=4 / v_quarter=3
126829
2003(3) : Array[2003][3] : Value = 126829 (100000 / 126829)
qcount=4 / qend=4 / v_quarter=3
132078
2003(4) : Array[2003][4] : Value = 132078 (100000 / 132078)
p_year=2001 / ycount=2004 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
135572
2004(1) : Array[2004][1] : Value = 135572 (100000 / 135572)
qcount=2 / qend=4 / v_quarter=3
141257
2004(2) : Array[2004][2] : Value = 141257 (100000 / 141257)
qcount=3 / qend=4 / v_quarter=3
149160
2004(3) : Array[2004][3] : Value = 149160 (100000 / 149160)
qcount=4 / qend=4 / v_quarter=3
154136
2004(4) : Array[2004][4] : Value = 154136 (100000 / 154136)
p_year=2001 / ycount=2005 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
158701
2005(1) : Array[2005][1] : Value = 158701 (100000 / 158701)
qcount=2 / qend=4 / v_quarter=3
166620
2005(2) : Array[2005][2] : Value = 166620 (100000 / 166620)
qcount=3 / qend=4 / v_quarter=3
173311
2005(3) : Array[2005][3] : Value = 173311 (100000 / 173311)
qcount=4 / qend=4 / v_quarter=3
178024
2005(4) : Array[2005][4] : Value = 178024 (100000 / 178024)
p_year=2001 / ycount=2006 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
181089
2006(1) : Array[2006][1] : Value = 181089 (100000 / 181089)
qcount=2 / qend=4 / v_quarter=3
184146
2006(2) : Array[2006][2] : Value = 184146 (100000 / 184146)
qcount=3 / qend=4 / v_quarter=3
186454
2006(3) : Array[2006][3] : Value = 186454 (100000 / 186454)
qcount=4 / qend=4 / v_quarter=3
188967
2006(4) : Array[2006][4] : Value = 188967 (100000 / 188967)
p_year=2001 / ycount=2007 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
190639
2007(1) : Array[2007][1] : Value = 190639 (100000 / 190639)
qcount=2 / qend=4 / v_quarter=3
191472
2007(2) : Array[2007][2] : Value = 191472 (100000 / 191472)
qcount=3 / qend=4 / v_quarter=3
191768
2007(3) : Array[2007][3] : Value = 191768 (100000 / 191768)
qcount=4 / qend=4 / v_quarter=3
192131
2007(4) : Array[2007][4] : Value = 192131 (100000 / 192131)
p_year=2001 / ycount=2008 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
192914
2008(1) : Array[2008][1] : Value = 192914 (100000 / 192914)
qcount=2 / qend=4 / v_quarter=3
190969
2008(2) : Array[2008][2] : Value = 190969 (100000 / 192914)
qcount=3 / qend=4 / v_quarter=3
188299
2008(3) : Array[2008][3] : Value = 188299 (100000 / 192914)
qcount=4 / qend=4 / v_quarter=3
187879
2008(4) : Array[2008][4] : Value = 187879 (100000 / 192914)
p_year=2001 / ycount=2009 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
189164
2009(1) : Array[2009][1] : Value = 189164 (100000 / 192914)
qcount=2 / qend=4 / v_quarter=3
186009
2009(2) : Array[2009][2] : Value = 186009 (100000 / 192914)
qcount=3 / qend=4 / v_quarter=3
182449
2009(3) : Array[2009][3] : Value = 182449 (100000 / 192914)
qcount=4 / qend=4 / v_quarter=3
182086
2009(4) : Array[2009][4] : Value = 182086 (100000 / 192914)
p_year=2001 / ycount=2010 / v_year=2010

function check_quarter():

Data for the 1 quarter is in the $c[Philadelphia, PA (MSAD)][2010] element.
qcount=1 / qend=3 / v_quarter=3
181180
2010(1) : Array[2010][1] : Value = 181180 (100000 / 192914)
qcount=2 / qend=3 / v_quarter=3
180694
2010(2) : Array[2010][2] : Value = 180694 (100000 / 192914)
qcount=3 / qend=3 / v_quarter=3
182243
2010(3) : Array[2010][3] : Value = 182243 (100000 / 192914)

function get_valuation():

Purchase price: $100000
Purchase year: 2001
Purchase quarter: 1
Start price index:132.02
Current price index:197.23
Based on HPI the home has appreciated 49.39% in 9.5 years at an average rate of 5.2% per year.
The current appreciations value is: $149394.03
Evaluation year: 2010
Evaluation quarter: 3
Evaluation period: 9.5 years (38 quarters or 114 months).


Miami-Miami Beach-Kendall, FL (MSAD)
100000
2001
1
2010
3
9.5
38
114
149394.03
0.49394031207393
0.051993717060413
132.02
197.23
p_year=2001 / ycount=2001 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
100000
2001(1) : Array[2001][1] : Value = 100000 (100000 / 100000)
qcount=2 / qend=4 / v_quarter=3
103280
2001(2) : Array[2001][2] : Value = 103280 (100000 / 103280)
qcount=3 / qend=4 / v_quarter=3
106120
2001(3) : Array[2001][3] : Value = 106120 (100000 / 106120)
qcount=4 / qend=4 / v_quarter=3
109673
2001(4) : Array[2001][4] : Value = 109673 (100000 / 109673)
p_year=2001 / ycount=2002 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
112710
2002(1) : Array[2002][1] : Value = 112710 (100000 / 112710)
qcount=2 / qend=4 / v_quarter=3
117043
2002(2) : Array[2002][2] : Value = 117043 (100000 / 117043)
qcount=3 / qend=4 / v_quarter=3
121822
2002(3) : Array[2002][3] : Value = 121822 (100000 / 121822)
qcount=4 / qend=4 / v_quarter=3
125534
2002(4) : Array[2002][4] : Value = 125534 (100000 / 125534)
p_year=2001 / ycount=2003 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
129147
2003(1) : Array[2003][1] : Value = 129147 (100000 / 129147)
qcount=2 / qend=4 / v_quarter=3
133321
2003(2) : Array[2003][2] : Value = 133321 (100000 / 133321)
qcount=3 / qend=4 / v_quarter=3
136813
2003(3) : Array[2003][3] : Value = 136813 (100000 / 136813)
qcount=4 / qend=4 / v_quarter=3
144402
2003(4) : Array[2003][4] : Value = 144402 (100000 / 144402)
p_year=2001 / ycount=2004 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
149417
2004(1) : Array[2004][1] : Value = 149417 (100000 / 149417)
qcount=2 / qend=4 / v_quarter=3
156613
2004(2) : Array[2004][2] : Value = 156613 (100000 / 156613)
qcount=3 / qend=4 / v_quarter=3
167126
2004(3) : Array[2004][3] : Value = 167126 (100000 / 167126)
qcount=4 / qend=4 / v_quarter=3
174171
2004(4) : Array[2004][4] : Value = 174171 (100000 / 174171)
p_year=2001 / ycount=2005 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
183275
2005(1) : Array[2005][1] : Value = 183275 (100000 / 183275)
qcount=2 / qend=4 / v_quarter=3
195819
2005(2) : Array[2005][2] : Value = 195819 (100000 / 195819)
qcount=3 / qend=4 / v_quarter=3
209059
2005(3) : Array[2005][3] : Value = 209059 (100000 / 209059)
qcount=4 / qend=4 / v_quarter=3
223110
2005(4) : Array[2005][4] : Value = 223110 (100000 / 223110)
p_year=2001 / ycount=2006 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
234237
2006(1) : Array[2006][1] : Value = 234237 (100000 / 234237)
qcount=2 / qend=4 / v_quarter=3
244001
2006(2) : Array[2006][2] : Value = 244001 (100000 / 244001)
qcount=3 / qend=4 / v_quarter=3
250492
2006(3) : Array[2006][3] : Value = 250492 (100000 / 250492)
qcount=4 / qend=4 / v_quarter=3
255378
2006(4) : Array[2006][4] : Value = 255378 (100000 / 255378)
p_year=2001 / ycount=2007 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
259642
2007(1) : Array[2007][1] : Value = 259642 (100000 / 259642)
qcount=2 / qend=4 / v_quarter=3
259892
2007(2) : Array[2007][2] : Value = 259892 (100000 / 259892)
qcount=3 / qend=4 / v_quarter=3
256067
2007(3) : Array[2007][3] : Value = 256067 (100000 / 259892)
qcount=4 / qend=4 / v_quarter=3
251121
2007(4) : Array[2007][4] : Value = 251121 (100000 / 259892)
p_year=2001 / ycount=2008 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
239297
2008(1) : Array[2008][1] : Value = 239297 (100000 / 259892)
qcount=2 / qend=4 / v_quarter=3
221482
2008(2) : Array[2008][2] : Value = 221482 (100000 / 259892)
qcount=3 / qend=4 / v_quarter=3
194418
2008(3) : Array[2008][3] : Value = 194418 (100000 / 259892)
qcount=4 / qend=4 / v_quarter=3
178587
2008(4) : Array[2008][4] : Value = 178587 (100000 / 259892)
p_year=2001 / ycount=2009 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
171209
2009(1) : Array[2009][1] : Value = 171209 (100000 / 259892)
qcount=2 / qend=4 / v_quarter=3
161385
2009(2) : Array[2009][2] : Value = 161385 (100000 / 259892)
qcount=3 / qend=4 / v_quarter=3
151212
2009(3) : Array[2009][3] : Value = 151212 (100000 / 259892)
qcount=4 / qend=4 / v_quarter=3
151750
2009(4) : Array[2009][4] : Value = 151750 (100000 / 259892)
p_year=2001 / ycount=2010 / v_year=2010

function check_quarter():

Data for the 1 quarter is in the $c[Miami-Miami Beach-Kendall, FL (MSAD)][2010] element.
qcount=1 / qend=3 / v_quarter=3
148296
2010(1) : Array[2010][1] : Value = 148296 (100000 / 259892)
qcount=2 / qend=3 / v_quarter=3
147023
2010(2) : Array[2010][2] : Value = 147023 (100000 / 259892)
qcount=3 / qend=3 / v_quarter=3
149394
2010(3) : Array[2010][3] : Value = 149394 (100000 / 259892)
HomePriceGraph.com+++++++++Price+appreciation+in+Philadelphia%2C+PA++%28MSAD%29+for+years+2001+to+2010++++++++++++++++++++++++++++++++++++++++++%7CTotal+appreciation+%3D+%2482%2C243%2882.24%25%29+++Start%3A+%24100%2C000+End%3A+%24182%2C243
t:100000,102340,104886,107045,109492,112319,115969,118828,120814,123253,126829,132078,135572,141257,149160,154136,158701,166620,173311,178024,181089,184146,186454,188967,190639,191472,191768,192131,192914,190969,188299,187879,189164,186009,182449,182086,181180,180694,182243|100000,103280,106120,109673,112710,117043,121822,125534,129147,133321,136813,144402,149417,156613,167126,174171,183275,195819,209059,223110,234237,244001,250492,255378,259642,259892,256067,251121,239297,221482,194418,178587,171209,161385,151212,151750,148296,147023,149394
01|.|.|.|02|.|.|.|03|.|.|.|04|.|.|.|05|.|.|.|06|.|.|.|07|.|.|.|08|.|.|.|09|.|.|.|10|.|.|
92000
268000
50000
92000
268000
Philadelphia, PA (MSAD)|Miami-Miami Beach-Kendall, FL (MSAD)
0
28
2001
2008
1
1
100000
192914

function graph():

post_chtt HomePriceGraph.com Price appreciation in Philadelphia, PA (MSAD) for years 2001 to 2010 |Total appreciation = $82,243(82.24%) Start: $100,000 End: $182,243
post_cht ls
post_chd t:100000,102340,104886,107045,109492,112319,115969,118828,120814,123253,126829,132078,135572,141257,149160,154136,158701,166620,173311,178024,181089,184146,186454,188967,190639,191472,191768,192131,192914,190969,188299,187879,189164,186009,182449,182086,181180,180694,182243|100000,103280,106120,109673,112710,117043,121822,125534,129147,133321,136813,144402,149417,156613,167126,174171,183275,195819,209059,223110,234237,244001,250492,255378,259642,259892,256067,251121,239297,221482,194418,178587,171209,161385,151212,151750,148296,147023,149394
post_chl 01|.|.|.|02|.|.|.|03|.|.|.|04|.|.|.|05|.|.|.|06|.|.|.|07|.|.|.|08|.|.|.|09|.|.|.|10|.|.|
post_chxl
post_chbh a
post_chco 3972cc,cccccc
post_chs 800x375
post_chdl Philadelphia, PA (MSAD)|Miami-Miami Beach-Kendall, FL (MSAD)
post_chxt x,y
post_chxr 1,92000,268000,50000
post_chxs 1,0000DD,18,0,lt,0000DD|2,0000DD,0,l
post_chxtc 1,-800|2,-800
post_chds 92000,268000
post_chf
http://chart.apis.google.com/chart?chid=e14393a4cbd474cb2c18083407c0a995+chtt=HomePriceGraph.com+++++++++Price+appreciation+in+Philadelphia%2C+PA++%28MSAD%29+for+years+2001+to+2010++++++++++++++++++++++++++++++++++++++++++%7CTotal+appreciation+%3D+%2482%2C243%2882.24%25%29+++Start%3A+%24100%2C000+End%3A+%24182%2C243&cht=ls&chd=t%3A100000%2C102340%2C104886%2C107045%2C109492%2C112319%2C115969%2C118828%2C120814%2C123253%2C126829%2C132078%2C135572%2C141257%2C149160%2C154136%2C158701%2C166620%2C173311%2C178024%2C181089%2C184146%2C186454%2C188967%2C190639%2C191472%2C191768%2C192131%2C192914%2C190969%2C188299%2C187879%2C189164%2C186009%2C182449%2C182086%2C181180%2C180694%2C182243%7C100000%2C103280%2C106120%2C109673%2C112710%2C117043%2C121822%2C125534%2C129147%2C133321%2C136813%2C144402%2C149417%2C156613%2C167126%2C174171%2C183275%2C195819%2C209059%2C223110%2C234237%2C244001%2C250492%2C255378%2C259642%2C259892%2C256067%2C251121%2C239297%2C221482%2C194418%2C178587%2C171209%2C161385%2C151212%2C151750%2C148296%2C147023%2C149394&chl=01%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%2C92000%2C268000%2C50000&chxs=1%2C0000DD%2C18%2C0%2Clt%2C0000DD%7C2%2C0000DD%2C0%2Cl&chxtc=1%2C-800%7C2%2C-800&chds=92000%2C268000&chdl=Philadelphia%2C+PA++%28MSAD%29%7CMiami-Miami+Beach-Kendall%2C+FL++%28MSAD%29&chdlp=b&chm=tLOW+%3A+%24100%5C%2C000+in+2001%2C3972dd%2C0%2C0%2C16%2C%2Cl%3A%3A-10%7CtHIGH+%3A+%24192%5C%2C914+in+2008%2C3972dd%2C0%2C28%2C16%2C%2Cl%3A%3A1&chma=70%2C30%2C30%2C30DEBUGGING so... exiting before image dump...