$City_1 = Cleveland-Elyria-Mentor, OH
$e = bad
$City_2 = Mobile, AL
$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,Mobile, AL,) {
1960
Selecting city: Mobile, AL
Searching backwards from 2025 for most recent data.
0: Year 2025 not found in data for Mobile, AL.
Most recent data for Mobile, AL 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
1983
The first year data is available for Mobile, AL is : 1983 the most recent year of data is 2024.
return Array
}

Inputs:

City_1 Lawrence, KS
City_2 Mobile, AL
Price 100000
YearStart 2000
QuarterStart 1
YearEnd 2011
QuarterEnd 3

function check_year(Lawrence, KS,2000):

Data for 2000 is in the $c[Lawrence, KS] element.

function check_quarter():

Data for the 1 quarter is in the $c[Lawrence, KS][2000] 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(Mobile, AL,2000):

Data for 2000 is in the $c[Mobile, AL] element.

function check_quarter():

Data for the 1 quarter is in the $c[Mobile, AL][2000] element.

function check_year(Mobile, AL,2011):

Data for 2011 is in the $c[Mobile, AL] element.

function check_quarter():

Data for the 3 quarter is in the $c[Mobile, AL][2011] element.

function get_valuation():

Purchase price: $100000
Purchase year: 2000
Purchase quarter: 1
Start price index:132.79
Current price index:173.87
Based on HPI the home has appreciated 30.94% in 11.5 years at an average rate of 2.69% per year.
The current appreciations value is: $130936.06
Evaluation year: 2011
Evaluation quarter: 3
Evaluation period: 11.5 years (46 quarters or 138 months).


Array ( [0] => Lawrence, KS [1] => 100000 [2] => 2000 [3] => 1 [4] => 2011 [5] => 3 [6] => 11.5 [7] => 46 [8] => 138 [9] => 130936.06 [10] => 0.30936064462685 [11] => 0.026900925619726 ) 1
Lawrence, KS
100000
2000
1
2011
3
11.5
46
138
130936.06
0.30936064462685
0.026900925619726
Lawrence, KS
100000
2000
1
2011
3
11.5
46
138
130936.06
0.30936064462685
0.026900925619726
132.79
173.87
p_year=2000 / ycount=2000 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
100000
2000(1) : Array[2000][1] : Value = 100000 (100000 / 100000)
qcount=2 / qend=4 / v_quarter=3
100038
2000(2) : Array[2000][2] : Value = 100038 (100000 / 100038)
qcount=3 / qend=4 / v_quarter=3
101107
2000(3) : Array[2000][3] : Value = 101107 (100000 / 101107)
qcount=4 / qend=4 / v_quarter=3
103073
2000(4) : Array[2000][4] : Value = 103073 (100000 / 103073)
p_year=2000 / ycount=2001 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
104451
2001(1) : Array[2001][1] : Value = 104451 (100000 / 104451)
qcount=2 / qend=4 / v_quarter=3
106085
2001(2) : Array[2001][2] : Value = 106085 (100000 / 106085)
qcount=3 / qend=4 / v_quarter=3
107689
2001(3) : Array[2001][3] : Value = 107689 (100000 / 107689)
qcount=4 / qend=4 / v_quarter=3
108374
2001(4) : Array[2001][4] : Value = 108374 (100000 / 108374)
p_year=2000 / ycount=2002 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
110889
2002(1) : Array[2002][1] : Value = 110889 (100000 / 110889)
qcount=2 / qend=4 / v_quarter=3
111567
2002(2) : Array[2002][2] : Value = 111567 (100000 / 111567)
qcount=3 / qend=4 / v_quarter=3
113156
2002(3) : Array[2002][3] : Value = 113156 (100000 / 113156)
qcount=4 / qend=4 / v_quarter=3
113819
2002(4) : Array[2002][4] : Value = 113819 (100000 / 113819)
p_year=2000 / ycount=2003 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
114790
2003(1) : Array[2003][1] : Value = 114790 (100000 / 114790)
qcount=2 / qend=4 / v_quarter=3
116311
2003(2) : Array[2003][2] : Value = 116311 (100000 / 116311)
qcount=3 / qend=4 / v_quarter=3
117953
2003(3) : Array[2003][3] : Value = 117953 (100000 / 117953)
qcount=4 / qend=4 / v_quarter=3
120702
2003(4) : Array[2003][4] : Value = 120702 (100000 / 120702)
p_year=2000 / ycount=2004 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
122773
2004(1) : Array[2004][1] : Value = 122773 (100000 / 122773)
qcount=2 / qend=4 / v_quarter=3
124234
2004(2) : Array[2004][2] : Value = 124234 (100000 / 124234)
qcount=3 / qend=4 / v_quarter=3
125808
2004(3) : Array[2004][3] : Value = 125808 (100000 / 125808)
qcount=4 / qend=4 / v_quarter=3
127871
2004(4) : Array[2004][4] : Value = 127871 (100000 / 127871)
p_year=2000 / ycount=2005 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
131154
2005(1) : Array[2005][1] : Value = 131154 (100000 / 131154)
qcount=2 / qend=4 / v_quarter=3
132796
2005(2) : Array[2005][2] : Value = 132796 (100000 / 132796)
qcount=3 / qend=4 / v_quarter=3
134024
2005(3) : Array[2005][3] : Value = 134024 (100000 / 134024)
qcount=4 / qend=4 / v_quarter=3
134242
2005(4) : Array[2005][4] : Value = 134242 (100000 / 134242)
p_year=2000 / ycount=2006 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
134235
2006(1) : Array[2006][1] : Value = 134235 (100000 / 134242)
qcount=2 / qend=4 / v_quarter=3
137006
2006(2) : Array[2006][2] : Value = 137006 (100000 / 137006)
qcount=3 / qend=4 / v_quarter=3
136418
2006(3) : Array[2006][3] : Value = 136418 (100000 / 137006)
qcount=4 / qend=4 / v_quarter=3
138610
2006(4) : Array[2006][4] : Value = 138610 (100000 / 138610)
p_year=2000 / ycount=2007 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
139649
2007(1) : Array[2007][1] : Value = 139649 (100000 / 139649)
qcount=2 / qend=4 / v_quarter=3
138580
2007(2) : Array[2007][2] : Value = 138580 (100000 / 139649)
qcount=3 / qend=4 / v_quarter=3
137925
2007(3) : Array[2007][3] : Value = 137925 (100000 / 139649)
qcount=4 / qend=4 / v_quarter=3
138429
2007(4) : Array[2007][4] : Value = 138429 (100000 / 139649)
p_year=2000 / ycount=2008 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
140026
2008(1) : Array[2008][1] : Value = 140026 (100000 / 140026)
qcount=2 / qend=4 / v_quarter=3
138369
2008(2) : Array[2008][2] : Value = 138369 (100000 / 140026)
qcount=3 / qend=4 / v_quarter=3
135891
2008(3) : Array[2008][3] : Value = 135891 (100000 / 140026)
qcount=4 / qend=4 / v_quarter=3
137428
2008(4) : Array[2008][4] : Value = 137428 (100000 / 140026)
p_year=2000 / ycount=2009 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
137051
2009(1) : Array[2009][1] : Value = 137051 (100000 / 140026)
qcount=2 / qend=4 / v_quarter=3
134611
2009(2) : Array[2009][2] : Value = 134611 (100000 / 140026)
qcount=3 / qend=4 / v_quarter=3
135033
2009(3) : Array[2009][3] : Value = 135033 (100000 / 140026)
qcount=4 / qend=4 / v_quarter=3
133783
2009(4) : Array[2009][4] : Value = 133783 (100000 / 140026)
p_year=2000 / ycount=2010 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
132758
2010(1) : Array[2010][1] : Value = 132758 (100000 / 140026)
qcount=2 / qend=4 / v_quarter=3
132344
2010(2) : Array[2010][2] : Value = 132344 (100000 / 140026)
qcount=3 / qend=4 / v_quarter=3
132894
2010(3) : Array[2010][3] : Value = 132894 (100000 / 140026)
qcount=4 / qend=4 / v_quarter=3
133527
2010(4) : Array[2010][4] : Value = 133527 (100000 / 140026)
p_year=2000 / 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
129694
2011(1) : Array[2011][1] : Value = 129694 (100000 / 140026)
qcount=2 / qend=3 / v_quarter=3
130770
2011(2) : Array[2011][2] : Value = 130770 (100000 / 140026)
qcount=3 / qend=3 / v_quarter=3
130936
2011(3) : Array[2011][3] : Value = 130936 (100000 / 140026)

function get_valuation():

Purchase price: $100000
Purchase year: 2000
Purchase quarter: 1
Start price index:121.85
Current price index:162.99
Based on HPI the home has appreciated 33.76% in 11.5 years at an average rate of 2.94% per year.
The current appreciations value is: $133762.82
Evaluation year: 2011
Evaluation quarter: 3
Evaluation period: 11.5 years (46 quarters or 138 months).


Mobile, AL
100000
2000
1
2011
3
11.5
46
138
133762.82
0.33762823143209
0.029358976646269
121.85
162.99
p_year=2000 / ycount=2000 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
100000
2000(1) : Array[2000][1] : Value = 100000 (100000 / 100000)
qcount=2 / qend=4 / v_quarter=3
101075
2000(2) : Array[2000][2] : Value = 101075 (100000 / 101075)
qcount=3 / qend=4 / v_quarter=3
102043
2000(3) : Array[2000][3] : Value = 102043 (100000 / 102043)
qcount=4 / qend=4 / v_quarter=3
103357
2000(4) : Array[2000][4] : Value = 103357 (100000 / 103357)
p_year=2000 / ycount=2001 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
106738
2001(1) : Array[2001][1] : Value = 106738 (100000 / 106738)
qcount=2 / qend=4 / v_quarter=3
107329
2001(2) : Array[2001][2] : Value = 107329 (100000 / 107329)
qcount=3 / qend=4 / v_quarter=3
108314
2001(3) : Array[2001][3] : Value = 108314 (100000 / 108314)
qcount=4 / qend=4 / v_quarter=3
109389
2001(4) : Array[2001][4] : Value = 109389 (100000 / 109389)
p_year=2000 / ycount=2002 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
108551
2002(1) : Array[2002][1] : Value = 108551 (100000 / 109389)
qcount=2 / qend=4 / v_quarter=3
109413
2002(2) : Array[2002][2] : Value = 109413 (100000 / 109413)
qcount=3 / qend=4 / v_quarter=3
111334
2002(3) : Array[2002][3] : Value = 111334 (100000 / 111334)
qcount=4 / qend=4 / v_quarter=3
112039
2002(4) : Array[2002][4] : Value = 112039 (100000 / 112039)
p_year=2000 / ycount=2003 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
114083
2003(1) : Array[2003][1] : Value = 114083 (100000 / 114083)
qcount=2 / qend=4 / v_quarter=3
114748
2003(2) : Array[2003][2] : Value = 114748 (100000 / 114748)
qcount=3 / qend=4 / v_quarter=3
115339
2003(3) : Array[2003][3] : Value = 115339 (100000 / 115339)
qcount=4 / qend=4 / v_quarter=3
115035
2003(4) : Array[2003][4] : Value = 115035 (100000 / 115339)
p_year=2000 / ycount=2004 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
115027
2004(1) : Array[2004][1] : Value = 115027 (100000 / 115339)
qcount=2 / qend=4 / v_quarter=3
116332
2004(2) : Array[2004][2] : Value = 116332 (100000 / 116332)
qcount=3 / qend=4 / v_quarter=3
119114
2004(3) : Array[2004][3] : Value = 119114 (100000 / 119114)
qcount=4 / qend=4 / v_quarter=3
119655
2004(4) : Array[2004][4] : Value = 119655 (100000 / 119655)
p_year=2000 / ycount=2005 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
118736
2005(1) : Array[2005][1] : Value = 118736 (100000 / 119655)
qcount=2 / qend=4 / v_quarter=3
122610
2005(2) : Array[2005][2] : Value = 122610 (100000 / 122610)
qcount=3 / qend=4 / v_quarter=3
126229
2005(3) : Array[2005][3] : Value = 126229 (100000 / 126229)
qcount=4 / qend=4 / v_quarter=3
130070
2005(4) : Array[2005][4] : Value = 130070 (100000 / 130070)
p_year=2000 / ycount=2006 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
134838
2006(1) : Array[2006][1] : Value = 134838 (100000 / 134838)
qcount=2 / qend=4 / v_quarter=3
140369
2006(2) : Array[2006][2] : Value = 140369 (100000 / 140369)
qcount=3 / qend=4 / v_quarter=3
145663
2006(3) : Array[2006][3] : Value = 145663 (100000 / 145663)
qcount=4 / qend=4 / v_quarter=3
149167
2006(4) : Array[2006][4] : Value = 149167 (100000 / 149167)
p_year=2000 / ycount=2007 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
150849
2007(1) : Array[2007][1] : Value = 150849 (100000 / 150849)
qcount=2 / qend=4 / v_quarter=3
154616
2007(2) : Array[2007][2] : Value = 154616 (100000 / 154616)
qcount=3 / qend=4 / v_quarter=3
155002
2007(3) : Array[2007][3] : Value = 155002 (100000 / 155002)
qcount=4 / qend=4 / v_quarter=3
156077
2007(4) : Array[2007][4] : Value = 156077 (100000 / 156077)
p_year=2000 / ycount=2008 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
156881
2008(1) : Array[2008][1] : Value = 156881 (100000 / 156881)
qcount=2 / qend=4 / v_quarter=3
156906
2008(2) : Array[2008][2] : Value = 156906 (100000 / 156906)
qcount=3 / qend=4 / v_quarter=3
154928
2008(3) : Array[2008][3] : Value = 154928 (100000 / 156906)
qcount=4 / qend=4 / v_quarter=3
154304
2008(4) : Array[2008][4] : Value = 154304 (100000 / 156906)
p_year=2000 / ycount=2009 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
157259
2009(1) : Array[2009][1] : Value = 157259 (100000 / 157259)
qcount=2 / qend=4 / v_quarter=3
155150
2009(2) : Array[2009][2] : Value = 155150 (100000 / 157259)
qcount=3 / qend=4 / v_quarter=3
150053
2009(3) : Array[2009][3] : Value = 150053 (100000 / 157259)
qcount=4 / qend=4 / v_quarter=3
148683
2009(4) : Array[2009][4] : Value = 148683 (100000 / 157259)
p_year=2000 / ycount=2010 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
146697
2010(1) : Array[2010][1] : Value = 146697 (100000 / 157259)
qcount=2 / qend=4 / v_quarter=3
141822
2010(2) : Array[2010][2] : Value = 141822 (100000 / 157259)
qcount=3 / qend=4 / v_quarter=3
143283
2010(3) : Array[2010][3] : Value = 143283 (100000 / 157259)
qcount=4 / qend=4 / v_quarter=3
141042
2010(4) : Array[2010][4] : Value = 141042 (100000 / 157259)
p_year=2000 / ycount=2011 / v_year=2011

function check_quarter():

Data for the 1 quarter is in the $c[Mobile, AL][2011] element.
qcount=1 / qend=3 / v_quarter=3
135724
2011(1) : Array[2011][1] : Value = 135724 (100000 / 157259)
qcount=2 / qend=3 / v_quarter=3
135888
2011(2) : Array[2011][2] : Value = 135888 (100000 / 157259)
qcount=3 / qend=3 / v_quarter=3
133763
2011(3) : Array[2011][3] : Value = 133763 (100000 / 157259)
HomePriceGraph.com+++++++++++++++++++++Price+appreciation+in+Lawrence%2C+KS+for+years+2000+to+2011++++++++++++++++++++++++++++++++++++++++++++++++++++++%7CTotal+appreciation+%3D+%2430%2C936%2830.94%25%29+++Start%3A+%24100%2C000+End%3A+%24130%2C936
t:100000,100038,101107,103073,104451,106085,107689,108374,110889,111567,113156,113819,114790,116311,117953,120702,122773,124234,125808,127871,131154,132796,134024,134242,134235,137006,136418,138610,139649,138580,137925,138429,140026,138369,135891,137428,137051,134611,135033,133783,132758,132344,132894,133527,129694,130770,130936|100000,101075,102043,103357,106738,107329,108314,109389,108551,109413,111334,112039,114083,114748,115339,115035,115027,116332,119114,119655,118736,122610,126229,130070,134838,140369,145663,149167,150849,154616,155002,156077,156881,156906,154928,154304,157259,155150,150053,148683,146697,141822,143283,141042,135724,135888,133763
00|.|.|.|01|.|.|.|02|.|.|.|03|.|.|.|04|.|.|.|05|.|.|.|06|.|.|.|07|.|.|.|08|.|.|.|09|.|.|.|10|.|.|.|11|.|.|
97000
160000
10000
97000
160000
Lawrence, KS|Mobile, AL
0
32
2000
2008
1
1
100000
140026

function graph():

post_chtt HomePriceGraph.com Price appreciation in Lawrence, KS for years 2000 to 2011 |Total appreciation = $30,936(30.94%) Start: $100,000 End: $130,936
post_cht ls
post_chd t:100000,100038,101107,103073,104451,106085,107689,108374,110889,111567,113156,113819,114790,116311,117953,120702,122773,124234,125808,127871,131154,132796,134024,134242,134235,137006,136418,138610,139649,138580,137925,138429,140026,138369,135891,137428,137051,134611,135033,133783,132758,132344,132894,133527,129694,130770,130936|100000,101075,102043,103357,106738,107329,108314,109389,108551,109413,111334,112039,114083,114748,115339,115035,115027,116332,119114,119655,118736,122610,126229,130070,134838,140369,145663,149167,150849,154616,155002,156077,156881,156906,154928,154304,157259,155150,150053,148683,146697,141822,143283,141042,135724,135888,133763
post_chl 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|Mobile, AL
post_chxt x,y
post_chxr 1,97000,160000,10000
post_chxs 1,0000DD,18,0,lt,0000DD|2,0000DD,0,l
post_chxtc 1,-800|2,-800
post_chds 97000,160000
post_chf
http://chart.apis.google.com/chart?chid=f8bfb0e41566bbdb32285e956b9b1a9c+chtt=HomePriceGraph.com+++++++++++++++++++++Price+appreciation+in+Lawrence%2C+KS+for+years+2000+to+2011++++++++++++++++++++++++++++++++++++++++++++++++++++++%7CTotal+appreciation+%3D+%2430%2C936%2830.94%25%29+++Start%3A+%24100%2C000+End%3A+%24130%2C936&cht=ls&chd=t%3A100000%2C100038%2C101107%2C103073%2C104451%2C106085%2C107689%2C108374%2C110889%2C111567%2C113156%2C113819%2C114790%2C116311%2C117953%2C120702%2C122773%2C124234%2C125808%2C127871%2C131154%2C132796%2C134024%2C134242%2C134235%2C137006%2C136418%2C138610%2C139649%2C138580%2C137925%2C138429%2C140026%2C138369%2C135891%2C137428%2C137051%2C134611%2C135033%2C133783%2C132758%2C132344%2C132894%2C133527%2C129694%2C130770%2C130936%7C100000%2C101075%2C102043%2C103357%2C106738%2C107329%2C108314%2C109389%2C108551%2C109413%2C111334%2C112039%2C114083%2C114748%2C115339%2C115035%2C115027%2C116332%2C119114%2C119655%2C118736%2C122610%2C126229%2C130070%2C134838%2C140369%2C145663%2C149167%2C150849%2C154616%2C155002%2C156077%2C156881%2C156906%2C154928%2C154304%2C157259%2C155150%2C150053%2C148683%2C146697%2C141822%2C143283%2C141042%2C135724%2C135888%2C133763&chl=00%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%2C97000%2C160000%2C10000&chxs=1%2C0000DD%2C18%2C0%2Clt%2C0000DD%7C2%2C0000DD%2C0%2Cl&chxtc=1%2C-800%7C2%2C-800&chds=97000%2C160000&chdl=Lawrence%2C+KS%7CMobile%2C+AL&chdlp=b&chm=tLOW+%3A+%24100%5C%2C000+in+2000%2C3972dd%2C0%2C0%2C16%2C%2Cl%3A%3A-10%7CtHIGH+%3A+%24140%5C%2C026+in+2008%2C3972dd%2C0%2C32%2C16%2C%2Cl%3A%3A1&chma=70%2C30%2C30%2C30DEBUGGING so... exiting before image dump...