$City_1 = Wilmington, NC
$e =
$City_2 = Montgomery, AL
$e =
function get_years(Array,Wilmington, NC,) {
1960
Selecting city: Wilmington, NC
Searching backwards from 2025 for most recent data.
0: Year 2025 not found in data for Wilmington, NC.
Most recent data for Wilmington, NC 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
1984
The first year data is available for Wilmington, NC is : 1984 the most recent year of data is 2024.
return Array
}
function get_years(Array,Montgomery, AL,) {
1960
Selecting city: Montgomery, AL
Searching backwards from 2025 for most recent data.
0: Year 2025 not found in data for Montgomery, AL.
Most recent data for Montgomery, 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
1986
The first year data is available for Montgomery, AL is : 1986 the most recent year of data is 2024.
return Array
}

Inputs:

City_1 Wilmington, NC
City_2 Montgomery, AL
Price 100000
YearStart 1986
QuarterStart 1
YearEnd 2011
QuarterEnd 3

function check_year(Wilmington, NC,1986):

Data for 1986 is in the $c[Wilmington, NC] element.

function check_quarter():

Data for the 1 quarter is in the $c[Wilmington, NC][1986] element.
START $v_year = 2011

function check_year(Wilmington, NC,2011):

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

function check_quarter():

Data for the 3 quarter is in the $c[Wilmington, NC][2011] element.

function check_year(Montgomery, AL,1986):

Data for 1986 is in the $c[Montgomery, AL] element.

function check_quarter():

Data for the 1 quarter is in the $c[Montgomery, AL][1986] element.

function check_year(Montgomery, AL,2011):

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

function check_quarter():

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

function get_valuation():

Purchase price: $100000
Purchase year: 1986
Purchase quarter: 1
Start price index:66.38
Current price index:180.92
Based on HPI the home has appreciated 172.55% in 25.5 years at an average rate of 6.77% per year.
The current appreciations value is: $272551.97
Evaluation year: 2011
Evaluation quarter: 3
Evaluation period: 25.5 years (102 quarters or 306 months).


Array ( [0] => Wilmington, NC [1] => 100000 [2] => 1986 [3] => 1 [4] => 2011 [5] => 3 [6] => 25.5 [7] => 102 [8] => 306 [9] => 272551.97 [10] => 1.7255197348599 [11] => 0.067667440582741 ) 1
Wilmington, NC
100000
1986
1
2011
3
25.5
102
306
272551.97
1.7255197348599
0.067667440582741
Wilmington, NC
100000
1986
1
2011
3
25.5
102
306
272551.97
1.7255197348599
0.067667440582741
66.38
180.92
p_year=1986 / ycount=1986 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
100000
1986(1) : Array[1986][1] : Value = 100000 (100000 / 100000)
qcount=2 / qend=4 / v_quarter=3
101853
1986(2) : Array[1986][2] : Value = 101853 (100000 / 101853)
qcount=3 / qend=4 / v_quarter=3
101838
1986(3) : Array[1986][3] : Value = 101838 (100000 / 101853)
qcount=4 / qend=4 / v_quarter=3
103390
1986(4) : Array[1986][4] : Value = 103390 (100000 / 103390)
p_year=1986 / ycount=1987 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
105453
1987(1) : Array[1987][1] : Value = 105453 (100000 / 105453)
qcount=2 / qend=4 / v_quarter=3
105725
1987(2) : Array[1987][2] : Value = 105725 (100000 / 105725)
qcount=3 / qend=4 / v_quarter=3
109084
1987(3) : Array[1987][3] : Value = 109084 (100000 / 109084)
qcount=4 / qend=4 / v_quarter=3
107547
1987(4) : Array[1987][4] : Value = 107547 (100000 / 109084)
p_year=1986 / ycount=1988 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
106885
1988(1) : Array[1988][1] : Value = 106885 (100000 / 109084)
qcount=2 / qend=4 / v_quarter=3
113061
1988(2) : Array[1988][2] : Value = 113061 (100000 / 113061)
qcount=3 / qend=4 / v_quarter=3
113995
1988(3) : Array[1988][3] : Value = 113995 (100000 / 113995)
qcount=4 / qend=4 / v_quarter=3
112383
1988(4) : Array[1988][4] : Value = 112383 (100000 / 113995)
p_year=1986 / ycount=1989 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
113016
1989(1) : Array[1989][1] : Value = 113016 (100000 / 113995)
qcount=2 / qend=4 / v_quarter=3
115743
1989(2) : Array[1989][2] : Value = 115743 (100000 / 115743)
qcount=3 / qend=4 / v_quarter=3
118093
1989(3) : Array[1989][3] : Value = 118093 (100000 / 118093)
qcount=4 / qend=4 / v_quarter=3
119524
1989(4) : Array[1989][4] : Value = 119524 (100000 / 119524)
p_year=1986 / ycount=1990 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
118078
1990(1) : Array[1990][1] : Value = 118078 (100000 / 119524)
qcount=2 / qend=4 / v_quarter=3
117234
1990(2) : Array[1990][2] : Value = 117234 (100000 / 119524)
qcount=3 / qend=4 / v_quarter=3
122627
1990(3) : Array[1990][3] : Value = 122627 (100000 / 122627)
qcount=4 / qend=4 / v_quarter=3
122778
1990(4) : Array[1990][4] : Value = 122778 (100000 / 122778)
p_year=1986 / ycount=1991 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
122703
1991(1) : Array[1991][1] : Value = 122703 (100000 / 122778)
qcount=2 / qend=4 / v_quarter=3
123185
1991(2) : Array[1991][2] : Value = 123185 (100000 / 123185)
qcount=3 / qend=4 / v_quarter=3
122612
1991(3) : Array[1991][3] : Value = 122612 (100000 / 123185)
qcount=4 / qend=4 / v_quarter=3
127795
1991(4) : Array[1991][4] : Value = 127795 (100000 / 127795)
p_year=1986 / ycount=1992 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
129030
1992(1) : Array[1992][1] : Value = 129030 (100000 / 129030)
qcount=2 / qend=4 / v_quarter=3
128051
1992(2) : Array[1992][2] : Value = 128051 (100000 / 129030)
qcount=3 / qend=4 / v_quarter=3
130853
1992(3) : Array[1992][3] : Value = 130853 (100000 / 130853)
qcount=4 / qend=4 / v_quarter=3
131500
1992(4) : Array[1992][4] : Value = 131500 (100000 / 131500)
p_year=1986 / ycount=1993 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
132962
1993(1) : Array[1993][1] : Value = 132962 (100000 / 132962)
qcount=2 / qend=4 / v_quarter=3
134122
1993(2) : Array[1993][2] : Value = 134122 (100000 / 134122)
qcount=3 / qend=4 / v_quarter=3
136472
1993(3) : Array[1993][3] : Value = 136472 (100000 / 136472)
qcount=4 / qend=4 / v_quarter=3
137165
1993(4) : Array[1993][4] : Value = 137165 (100000 / 137165)
p_year=1986 / ycount=1994 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
139229
1994(1) : Array[1994][1] : Value = 139229 (100000 / 139229)
qcount=2 / qend=4 / v_quarter=3
143763
1994(2) : Array[1994][2] : Value = 143763 (100000 / 143763)
qcount=3 / qend=4 / v_quarter=3
145526
1994(3) : Array[1994][3] : Value = 145526 (100000 / 145526)
qcount=4 / qend=4 / v_quarter=3
148644
1994(4) : Array[1994][4] : Value = 148644 (100000 / 148644)
p_year=1986 / ycount=1995 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
150648
1995(1) : Array[1995][1] : Value = 150648 (100000 / 150648)
qcount=2 / qend=4 / v_quarter=3
153736
1995(2) : Array[1995][2] : Value = 153736 (100000 / 153736)
qcount=3 / qend=4 / v_quarter=3
159099
1995(3) : Array[1995][3] : Value = 159099 (100000 / 159099)
qcount=4 / qend=4 / v_quarter=3
161931
1995(4) : Array[1995][4] : Value = 161931 (100000 / 161931)
p_year=1986 / ycount=1996 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
163950
1996(1) : Array[1996][1] : Value = 163950 (100000 / 163950)
qcount=2 / qend=4 / v_quarter=3
166571
1996(2) : Array[1996][2] : Value = 166571 (100000 / 166571)
qcount=3 / qend=4 / v_quarter=3
169524
1996(3) : Array[1996][3] : Value = 169524 (100000 / 169524)
qcount=4 / qend=4 / v_quarter=3
170443
1996(4) : Array[1996][4] : Value = 170443 (100000 / 170443)
p_year=1986 / ycount=1997 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
172100
1997(1) : Array[1997][1] : Value = 172100 (100000 / 172100)
qcount=2 / qend=4 / v_quarter=3
175490
1997(2) : Array[1997][2] : Value = 175490 (100000 / 175490)
qcount=3 / qend=4 / v_quarter=3
180024
1997(3) : Array[1997][3] : Value = 180024 (100000 / 180024)
qcount=4 / qend=4 / v_quarter=3
182691
1997(4) : Array[1997][4] : Value = 182691 (100000 / 182691)
p_year=1986 / ycount=1998 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
185929
1998(1) : Array[1998][1] : Value = 185929 (100000 / 185929)
qcount=2 / qend=4 / v_quarter=3
184137
1998(2) : Array[1998][2] : Value = 184137 (100000 / 185929)
qcount=3 / qend=4 / v_quarter=3
187963
1998(3) : Array[1998][3] : Value = 187963 (100000 / 187963)
qcount=4 / qend=4 / v_quarter=3
190585
1998(4) : Array[1998][4] : Value = 190585 (100000 / 190585)
p_year=1986 / ycount=1999 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
194321
1999(1) : Array[1999][1] : Value = 194321 (100000 / 194321)
qcount=2 / qend=4 / v_quarter=3
191775
1999(2) : Array[1999][2] : Value = 191775 (100000 / 194321)
qcount=3 / qend=4 / v_quarter=3
190479
1999(3) : Array[1999][3] : Value = 190479 (100000 / 194321)
qcount=4 / qend=4 / v_quarter=3
188973
1999(4) : Array[1999][4] : Value = 188973 (100000 / 194321)
p_year=1986 / ycount=2000 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
192151
2000(1) : Array[2000][1] : Value = 192151 (100000 / 194321)
qcount=2 / qend=4 / v_quarter=3
193100
2000(2) : Array[2000][2] : Value = 193100 (100000 / 194321)
qcount=3 / qend=4 / v_quarter=3
195134
2000(3) : Array[2000][3] : Value = 195134 (100000 / 195134)
qcount=4 / qend=4 / v_quarter=3
197334
2000(4) : Array[2000][4] : Value = 197334 (100000 / 197334)
p_year=1986 / ycount=2001 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
201913
2001(1) : Array[2001][1] : Value = 201913 (100000 / 201913)
qcount=2 / qend=4 / v_quarter=3
203028
2001(2) : Array[2001][2] : Value = 203028 (100000 / 203028)
qcount=3 / qend=4 / v_quarter=3
203194
2001(3) : Array[2001][3] : Value = 203194 (100000 / 203194)
qcount=4 / qend=4 / v_quarter=3
205664
2001(4) : Array[2001][4] : Value = 205664 (100000 / 205664)
p_year=1986 / ycount=2002 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
207427
2002(1) : Array[2002][1] : Value = 207427 (100000 / 207427)
qcount=2 / qend=4 / v_quarter=3
206372
2002(2) : Array[2002][2] : Value = 206372 (100000 / 207427)
qcount=3 / qend=4 / v_quarter=3
209144
2002(3) : Array[2002][3] : Value = 209144 (100000 / 209144)
qcount=4 / qend=4 / v_quarter=3
211223
2002(4) : Array[2002][4] : Value = 211223 (100000 / 211223)
p_year=1986 / ycount=2003 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
213136
2003(1) : Array[2003][1] : Value = 213136 (100000 / 213136)
qcount=2 / qend=4 / v_quarter=3
213302
2003(2) : Array[2003][2] : Value = 213302 (100000 / 213302)
qcount=3 / qend=4 / v_quarter=3
215246
2003(3) : Array[2003][3] : Value = 215246 (100000 / 215246)
qcount=4 / qend=4 / v_quarter=3
217144
2003(4) : Array[2003][4] : Value = 217144 (100000 / 217144)
p_year=1986 / ycount=2004 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
221904
2004(1) : Array[2004][1] : Value = 221904 (100000 / 221904)
qcount=2 / qend=4 / v_quarter=3
228789
2004(2) : Array[2004][2] : Value = 228789 (100000 / 228789)
qcount=3 / qend=4 / v_quarter=3
234890
2004(3) : Array[2004][3] : Value = 234890 (100000 / 234890)
qcount=4 / qend=4 / v_quarter=3
242513
2004(4) : Array[2004][4] : Value = 242513 (100000 / 242513)
p_year=1986 / ycount=2005 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
251371
2005(1) : Array[2005][1] : Value = 251371 (100000 / 251371)
qcount=2 / qend=4 / v_quarter=3
263920
2005(2) : Array[2005][2] : Value = 263920 (100000 / 263920)
qcount=3 / qend=4 / v_quarter=3
279120
2005(3) : Array[2005][3] : Value = 279120 (100000 / 279120)
qcount=4 / qend=4 / v_quarter=3
295149
2005(4) : Array[2005][4] : Value = 295149 (100000 / 295149)
p_year=1986 / ycount=2006 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
308195
2006(1) : Array[2006][1] : Value = 308195 (100000 / 308195)
qcount=2 / qend=4 / v_quarter=3
324239
2006(2) : Array[2006][2] : Value = 324239 (100000 / 324239)
qcount=3 / qend=4 / v_quarter=3
329873
2006(3) : Array[2006][3] : Value = 329873 (100000 / 329873)
qcount=4 / qend=4 / v_quarter=3
335613
2006(4) : Array[2006][4] : Value = 335613 (100000 / 335613)
p_year=1986 / ycount=2007 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
342407
2007(1) : Array[2007][1] : Value = 342407 (100000 / 342407)
qcount=2 / qend=4 / v_quarter=3
344019
2007(2) : Array[2007][2] : Value = 344019 (100000 / 344019)
qcount=3 / qend=4 / v_quarter=3
342212
2007(3) : Array[2007][3] : Value = 342212 (100000 / 344019)
qcount=4 / qend=4 / v_quarter=3
345315
2007(4) : Array[2007][4] : Value = 345315 (100000 / 345315)
p_year=1986 / ycount=2008 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
345631
2008(1) : Array[2008][1] : Value = 345631 (100000 / 345631)
qcount=2 / qend=4 / v_quarter=3
338777
2008(2) : Array[2008][2] : Value = 338777 (100000 / 345631)
qcount=3 / qend=4 / v_quarter=3
332917
2008(3) : Array[2008][3] : Value = 332917 (100000 / 345631)
qcount=4 / qend=4 / v_quarter=3
327584
2008(4) : Array[2008][4] : Value = 327584 (100000 / 345631)
p_year=1986 / ycount=2009 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
331847
2009(1) : Array[2009][1] : Value = 331847 (100000 / 345631)
qcount=2 / qend=4 / v_quarter=3
321121
2009(2) : Array[2009][2] : Value = 321121 (100000 / 345631)
qcount=3 / qend=4 / v_quarter=3
308301
2009(3) : Array[2009][3] : Value = 308301 (100000 / 345631)
qcount=4 / qend=4 / v_quarter=3
306071
2009(4) : Array[2009][4] : Value = 306071 (100000 / 345631)
p_year=1986 / ycount=2010 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
301009
2010(1) : Array[2010][1] : Value = 301009 (100000 / 345631)
qcount=2 / qend=4 / v_quarter=3
289876
2010(2) : Array[2010][2] : Value = 289876 (100000 / 345631)
qcount=3 / qend=4 / v_quarter=3
290765
2010(3) : Array[2010][3] : Value = 290765 (100000 / 345631)
qcount=4 / qend=4 / v_quarter=3
289786
2010(4) : Array[2010][4] : Value = 289786 (100000 / 345631)
p_year=1986 / ycount=2011 / v_year=2011

function check_quarter():

Data for the 1 quarter is in the $c[Wilmington, NC][2011] element.
qcount=1 / qend=3 / v_quarter=3
280823
2011(1) : Array[2011][1] : Value = 280823 (100000 / 345631)
qcount=2 / qend=3 / v_quarter=3
270669
2011(2) : Array[2011][2] : Value = 270669 (100000 / 345631)
qcount=3 / qend=3 / v_quarter=3
272552
2011(3) : Array[2011][3] : Value = 272552 (100000 / 345631)

function get_valuation():

Purchase price: $100000
Purchase year: 1986
Purchase quarter: 1
Start price index:86.95
Current price index:141.61
Based on HPI the home has appreciated 62.86% in 25.5 years at an average rate of 2.47% per year.
The current appreciations value is: $162863.71
Evaluation year: 2011
Evaluation quarter: 3
Evaluation period: 25.5 years (102 quarters or 306 months).


Montgomery, AL
100000
1986
1
2011
3
25.5
102
306
162863.71
0.62863714778608
0.024652437168082
86.95
141.61
p_year=1986 / ycount=1986 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
100000
1986(1) : Array[1986][1] : Value = 100000 (100000 / 100000)
qcount=2 / qend=4 / v_quarter=3
96032
1986(2) : Array[1986][2] : Value = 96032 (96032 / 100000)
qcount=3 / qend=4 / v_quarter=3
97217
1986(3) : Array[1986][3] : Value = 97217 (96032 / 100000)
qcount=4 / qend=4 / v_quarter=3
98010
1986(4) : Array[1986][4] : Value = 98010 (96032 / 100000)
p_year=1986 / ycount=1987 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
98643
1987(1) : Array[1987][1] : Value = 98643 (96032 / 100000)
qcount=2 / qend=4 / v_quarter=3
97941
1987(2) : Array[1987][2] : Value = 97941 (96032 / 100000)
qcount=3 / qend=4 / v_quarter=3
99229
1987(3) : Array[1987][3] : Value = 99229 (96032 / 100000)
qcount=4 / qend=4 / v_quarter=3
99103
1987(4) : Array[1987][4] : Value = 99103 (96032 / 100000)
p_year=1986 / ycount=1988 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
99563
1988(1) : Array[1988][1] : Value = 99563 (96032 / 100000)
qcount=2 / qend=4 / v_quarter=3
101794
1988(2) : Array[1988][2] : Value = 101794 (96032 / 101794)
qcount=3 / qend=4 / v_quarter=3
100449
1988(3) : Array[1988][3] : Value = 100449 (96032 / 101794)
qcount=4 / qend=4 / v_quarter=3
99034
1988(4) : Array[1988][4] : Value = 99034 (96032 / 101794)
p_year=1986 / ycount=1989 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
99551
1989(1) : Array[1989][1] : Value = 99551 (96032 / 101794)
qcount=2 / qend=4 / v_quarter=3
100679
1989(2) : Array[1989][2] : Value = 100679 (96032 / 101794)
qcount=3 / qend=4 / v_quarter=3
101035
1989(3) : Array[1989][3] : Value = 101035 (96032 / 101794)
qcount=4 / qend=4 / v_quarter=3
101990
1989(4) : Array[1989][4] : Value = 101990 (96032 / 101990)
p_year=1986 / ycount=1990 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
100357
1990(1) : Array[1990][1] : Value = 100357 (96032 / 101990)
qcount=2 / qend=4 / v_quarter=3
102300
1990(2) : Array[1990][2] : Value = 102300 (96032 / 102300)
qcount=3 / qend=4 / v_quarter=3
102703
1990(3) : Array[1990][3] : Value = 102703 (96032 / 102703)
qcount=4 / qend=4 / v_quarter=3
102944
1990(4) : Array[1990][4] : Value = 102944 (96032 / 102944)
p_year=1986 / ycount=1991 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
101829
1991(1) : Array[1991][1] : Value = 101829 (96032 / 102944)
qcount=2 / qend=4 / v_quarter=3
103876
1991(2) : Array[1991][2] : Value = 103876 (96032 / 103876)
qcount=3 / qend=4 / v_quarter=3
104451
1991(3) : Array[1991][3] : Value = 104451 (96032 / 104451)
qcount=4 / qend=4 / v_quarter=3
106544
1991(4) : Array[1991][4] : Value = 106544 (96032 / 106544)
p_year=1986 / ycount=1992 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
107131
1992(1) : Array[1992][1] : Value = 107131 (96032 / 107131)
qcount=2 / qend=4 / v_quarter=3
107165
1992(2) : Array[1992][2] : Value = 107165 (96032 / 107165)
qcount=3 / qend=4 / v_quarter=3
108741
1992(3) : Array[1992][3] : Value = 108741 (96032 / 108741)
qcount=4 / qend=4 / v_quarter=3
110213
1992(4) : Array[1992][4] : Value = 110213 (96032 / 110213)
p_year=1986 / ycount=1993 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
109684
1993(1) : Array[1993][1] : Value = 109684 (96032 / 110213)
qcount=2 / qend=4 / v_quarter=3
110443
1993(2) : Array[1993][2] : Value = 110443 (96032 / 110443)
qcount=3 / qend=4 / v_quarter=3
113019
1993(3) : Array[1993][3] : Value = 113019 (96032 / 113019)
qcount=4 / qend=4 / v_quarter=3
113916
1993(4) : Array[1993][4] : Value = 113916 (96032 / 113916)
p_year=1986 / ycount=1994 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
114192
1994(1) : Array[1994][1] : Value = 114192 (96032 / 114192)
qcount=2 / qend=4 / v_quarter=3
114744
1994(2) : Array[1994][2] : Value = 114744 (96032 / 114744)
qcount=3 / qend=4 / v_quarter=3
116228
1994(3) : Array[1994][3] : Value = 116228 (96032 / 116228)
qcount=4 / qend=4 / v_quarter=3
116883
1994(4) : Array[1994][4] : Value = 116883 (96032 / 116883)
p_year=1986 / ycount=1995 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
115009
1995(1) : Array[1995][1] : Value = 115009 (96032 / 116883)
qcount=2 / qend=4 / v_quarter=3
117470
1995(2) : Array[1995][2] : Value = 117470 (96032 / 117470)
qcount=3 / qend=4 / v_quarter=3
119574
1995(3) : Array[1995][3] : Value = 119574 (96032 / 119574)
qcount=4 / qend=4 / v_quarter=3
122392
1995(4) : Array[1995][4] : Value = 122392 (96032 / 122392)
p_year=1986 / ycount=1996 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
121254
1996(1) : Array[1996][1] : Value = 121254 (96032 / 122392)
qcount=2 / qend=4 / v_quarter=3
122323
1996(2) : Array[1996][2] : Value = 122323 (96032 / 122392)
qcount=3 / qend=4 / v_quarter=3
122507
1996(3) : Array[1996][3] : Value = 122507 (96032 / 122507)
qcount=4 / qend=4 / v_quarter=3
122473
1996(4) : Array[1996][4] : Value = 122473 (96032 / 122507)
p_year=1986 / ycount=1997 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
123002
1997(1) : Array[1997][1] : Value = 123002 (96032 / 123002)
qcount=2 / qend=4 / v_quarter=3
123117
1997(2) : Array[1997][2] : Value = 123117 (96032 / 123117)
qcount=3 / qend=4 / v_quarter=3
126970
1997(3) : Array[1997][3] : Value = 126970 (96032 / 126970)
qcount=4 / qend=4 / v_quarter=3
126475
1997(4) : Array[1997][4] : Value = 126475 (96032 / 126970)
p_year=1986 / ycount=1998 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
128752
1998(1) : Array[1998][1] : Value = 128752 (96032 / 128752)
qcount=2 / qend=4 / v_quarter=3
128856
1998(2) : Array[1998][2] : Value = 128856 (96032 / 128856)
qcount=3 / qend=4 / v_quarter=3
127809
1998(3) : Array[1998][3] : Value = 127809 (96032 / 128856)
qcount=4 / qend=4 / v_quarter=3
130926
1998(4) : Array[1998][4] : Value = 130926 (96032 / 130926)
p_year=1986 / ycount=1999 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
130569
1999(1) : Array[1999][1] : Value = 130569 (96032 / 130926)
qcount=2 / qend=4 / v_quarter=3
131029
1999(2) : Array[1999][2] : Value = 131029 (96032 / 131029)
qcount=3 / qend=4 / v_quarter=3
130581
1999(3) : Array[1999][3] : Value = 130581 (96032 / 131029)
qcount=4 / qend=4 / v_quarter=3
131041
1999(4) : Array[1999][4] : Value = 131041 (96032 / 131041)
p_year=1986 / ycount=2000 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
131282
2000(1) : Array[2000][1] : Value = 131282 (96032 / 131282)
qcount=2 / qend=4 / v_quarter=3
132018
2000(2) : Array[2000][2] : Value = 132018 (96032 / 132018)
qcount=3 / qend=4 / v_quarter=3
131547
2000(3) : Array[2000][3] : Value = 131547 (96032 / 132018)
qcount=4 / qend=4 / v_quarter=3
132559
2000(4) : Array[2000][4] : Value = 132559 (96032 / 132559)
p_year=1986 / ycount=2001 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
137079
2001(1) : Array[2001][1] : Value = 137079 (96032 / 137079)
qcount=2 / qend=4 / v_quarter=3
137056
2001(2) : Array[2001][2] : Value = 137056 (96032 / 137079)
qcount=3 / qend=4 / v_quarter=3
137596
2001(3) : Array[2001][3] : Value = 137596 (96032 / 137596)
qcount=4 / qend=4 / v_quarter=3
139931
2001(4) : Array[2001][4] : Value = 139931 (96032 / 139931)
p_year=1986 / ycount=2002 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
138884
2002(1) : Array[2002][1] : Value = 138884 (96032 / 139931)
qcount=2 / qend=4 / v_quarter=3
138574
2002(2) : Array[2002][2] : Value = 138574 (96032 / 139931)
qcount=3 / qend=4 / v_quarter=3
141001
2002(3) : Array[2002][3] : Value = 141001 (96032 / 141001)
qcount=4 / qend=4 / v_quarter=3
142576
2002(4) : Array[2002][4] : Value = 142576 (96032 / 142576)
p_year=1986 / ycount=2003 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
143473
2003(1) : Array[2003][1] : Value = 143473 (96032 / 143473)
qcount=2 / qend=4 / v_quarter=3
144508
2003(2) : Array[2003][2] : Value = 144508 (96032 / 144508)
qcount=3 / qend=4 / v_quarter=3
144738
2003(3) : Array[2003][3] : Value = 144738 (96032 / 144738)
qcount=4 / qend=4 / v_quarter=3
145992
2003(4) : Array[2003][4] : Value = 145992 (96032 / 145992)
p_year=1986 / ycount=2004 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
146153
2004(1) : Array[2004][1] : Value = 146153 (96032 / 146153)
qcount=2 / qend=4 / v_quarter=3
147510
2004(2) : Array[2004][2] : Value = 147510 (96032 / 147510)
qcount=3 / qend=4 / v_quarter=3
149580
2004(3) : Array[2004][3] : Value = 149580 (96032 / 149580)
qcount=4 / qend=4 / v_quarter=3
152467
2004(4) : Array[2004][4] : Value = 152467 (96032 / 152467)
p_year=1986 / ycount=2005 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
154181
2005(1) : Array[2005][1] : Value = 154181 (96032 / 154181)
qcount=2 / qend=4 / v_quarter=3
158976
2005(2) : Array[2005][2] : Value = 158976 (96032 / 158976)
qcount=3 / qend=4 / v_quarter=3
162289
2005(3) : Array[2005][3] : Value = 162289 (96032 / 162289)
qcount=4 / qend=4 / v_quarter=3
163577
2005(4) : Array[2005][4] : Value = 163577 (96032 / 163577)
p_year=1986 / ycount=2006 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
167326
2006(1) : Array[2006][1] : Value = 167326 (96032 / 167326)
qcount=2 / qend=4 / v_quarter=3
167913
2006(2) : Array[2006][2] : Value = 167913 (96032 / 167913)
qcount=3 / qend=4 / v_quarter=3
171512
2006(3) : Array[2006][3] : Value = 171512 (96032 / 171512)
qcount=4 / qend=4 / v_quarter=3
176021
2006(4) : Array[2006][4] : Value = 176021 (96032 / 176021)
p_year=1986 / ycount=2007 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
174997
2007(1) : Array[2007][1] : Value = 174997 (96032 / 176021)
qcount=2 / qend=4 / v_quarter=3
179413
2007(2) : Array[2007][2] : Value = 179413 (96032 / 179413)
qcount=3 / qend=4 / v_quarter=3
178907
2007(3) : Array[2007][3] : Value = 178907 (96032 / 179413)
qcount=4 / qend=4 / v_quarter=3
179091
2007(4) : Array[2007][4] : Value = 179091 (96032 / 179413)
p_year=1986 / ycount=2008 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
180920
2008(1) : Array[2008][1] : Value = 180920 (96032 / 180920)
qcount=2 / qend=4 / v_quarter=3
179022
2008(2) : Array[2008][2] : Value = 179022 (96032 / 180920)
qcount=3 / qend=4 / v_quarter=3
176872
2008(3) : Array[2008][3] : Value = 176872 (96032 / 180920)
qcount=4 / qend=4 / v_quarter=3
178930
2008(4) : Array[2008][4] : Value = 178930 (96032 / 180920)
p_year=1986 / ycount=2009 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
177930
2009(1) : Array[2009][1] : Value = 177930 (96032 / 180920)
qcount=2 / qend=4 / v_quarter=3
177665
2009(2) : Array[2009][2] : Value = 177665 (96032 / 180920)
qcount=3 / qend=4 / v_quarter=3
171593
2009(3) : Array[2009][3] : Value = 171593 (96032 / 180920)
qcount=4 / qend=4 / v_quarter=3
171374
2009(4) : Array[2009][4] : Value = 171374 (96032 / 180920)
p_year=1986 / ycount=2010 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
165601
2010(1) : Array[2010][1] : Value = 165601 (96032 / 180920)
qcount=2 / qend=4 / v_quarter=3
166901
2010(2) : Array[2010][2] : Value = 166901 (96032 / 180920)
qcount=3 / qend=4 / v_quarter=3
170730
2010(3) : Array[2010][3] : Value = 170730 (96032 / 180920)
qcount=4 / qend=4 / v_quarter=3
168902
2010(4) : Array[2010][4] : Value = 168902 (96032 / 180920)
p_year=1986 / ycount=2011 / v_year=2011

function check_quarter():

Data for the 1 quarter is in the $c[Montgomery, AL][2011] element.
qcount=1 / qend=3 / v_quarter=3
167625
2011(1) : Array[2011][1] : Value = 167625 (96032 / 180920)
qcount=2 / qend=3 / v_quarter=3
161081
2011(2) : Array[2011][2] : Value = 161081 (96032 / 180920)
qcount=3 / qend=3 / v_quarter=3
162864
2011(3) : Array[2011][3] : Value = 162864 (96032 / 180920)
HomePriceGraph.com+++++++++++++++++++Price+appreciation+in+Wilmington%2C+NC+for+years+1986+to+2011++++++++++++++++++++++++++++++++++++++++++++++++++++%7CTotal+appreciation+%3D+%24172%2C552%28172.55%25%29+++Start%3A+%24100%2C000+End%3A+%24272%2C552
t:100000,101853,101838,103390,105453,105725,109084,107547,106885,113061,113995,112383,113016,115743,118093,119524,118078,117234,122627,122778,122703,123185,122612,127795,129030,128051,130853,131500,132962,134122,136472,137165,139229,143763,145526,148644,150648,153736,159099,161931,163950,166571,169524,170443,172100,175490,180024,182691,185929,184137,187963,190585,194321,191775,190479,188973,192151,193100,195134,197334,201913,203028,203194,205664,207427,206372,209144,211223,213136,213302,215246,217144,221904,228789,234890,242513,251371,263920,279120,295149,308195,324239,329873,335613,342407,344019,342212,345315,345631,338777,332917,327584,331847,321121,308301,306071,301009,289876,290765,289786,280823,270669,272552|100000,96032,97217,98010,98643,97941,99229,99103,99563,101794,100449,99034,99551,100679,101035,101990,100357,102300,102703,102944,101829,103876,104451,106544,107131,107165,108741,110213,109684,110443,113019,113916,114192,114744,116228,116883,115009,117470,119574,122392,121254,122323,122507,122473,123002,123117,126970,126475,128752,128856,127809,130926,130569,131029,130581,131041,131282,132018,131547,132559,137079,137056,137596,139931,138884,138574,141001,142576,143473,144508,144738,145992,146153,147510,149580,152467,154181,158976,162289,163577,167326,167913,171512,176021,174997,179413,178907,179091,180920,179022,176872,178930,177930,177665,171593,171374,165601,166901,170730,168902,167625,161081,162864
86||||87||||88||||89||||90||||91||||92||||93||||94||||95||||96||||97||||98||||99||||00||||01||||02||||03||||04||||05||||06||||07||||08||||09||||10||||11|||
88000
358000
50000
88000
358000
Wilmington, NC|Montgomery, AL
0
88
1986
2008
1
1
100000
345631

function graph():

post_chtt HomePriceGraph.com Price appreciation in Wilmington, NC for years 1986 to 2011 |Total appreciation = $172,552(172.55%) Start: $100,000 End: $272,552
post_cht ls
post_chd t:100000,101853,101838,103390,105453,105725,109084,107547,106885,113061,113995,112383,113016,115743,118093,119524,118078,117234,122627,122778,122703,123185,122612,127795,129030,128051,130853,131500,132962,134122,136472,137165,139229,143763,145526,148644,150648,153736,159099,161931,163950,166571,169524,170443,172100,175490,180024,182691,185929,184137,187963,190585,194321,191775,190479,188973,192151,193100,195134,197334,201913,203028,203194,205664,207427,206372,209144,211223,213136,213302,215246,217144,221904,228789,234890,242513,251371,263920,279120,295149,308195,324239,329873,335613,342407,344019,342212,345315,345631,338777,332917,327584,331847,321121,308301,306071,301009,289876,290765,289786,280823,270669,272552|100000,96032,97217,98010,98643,97941,99229,99103,99563,101794,100449,99034,99551,100679,101035,101990,100357,102300,102703,102944,101829,103876,104451,106544,107131,107165,108741,110213,109684,110443,113019,113916,114192,114744,116228,116883,115009,117470,119574,122392,121254,122323,122507,122473,123002,123117,126970,126475,128752,128856,127809,130926,130569,131029,130581,131041,131282,132018,131547,132559,137079,137056,137596,139931,138884,138574,141001,142576,143473,144508,144738,145992,146153,147510,149580,152467,154181,158976,162289,163577,167326,167913,171512,176021,174997,179413,178907,179091,180920,179022,176872,178930,177930,177665,171593,171374,165601,166901,170730,168902,167625,161081,162864
post_chl 86||||87||||88||||89||||90||||91||||92||||93||||94||||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 Wilmington, NC|Montgomery, AL
post_chxt x,y
post_chxr 1,88000,358000,50000
post_chxs 1,0000DD,18,0,lt,0000DD|2,0000DD,0,l
post_chxtc 1,-800|2,-800
post_chds 88000,358000
post_chf
http://chart.apis.google.com/chart?chid=b33ee8e81453a6f027121bdbbc7af6b9+chtt=HomePriceGraph.com+++++++++++++++++++Price+appreciation+in+Wilmington%2C+NC+for+years+1986+to+2011++++++++++++++++++++++++++++++++++++++++++++++++++++%7CTotal+appreciation+%3D+%24172%2C552%28172.55%25%29+++Start%3A+%24100%2C000+End%3A+%24272%2C552&cht=ls&chd=t%3A100000%2C101853%2C101838%2C103390%2C105453%2C105725%2C109084%2C107547%2C106885%2C113061%2C113995%2C112383%2C113016%2C115743%2C118093%2C119524%2C118078%2C117234%2C122627%2C122778%2C122703%2C123185%2C122612%2C127795%2C129030%2C128051%2C130853%2C131500%2C132962%2C134122%2C136472%2C137165%2C139229%2C143763%2C145526%2C148644%2C150648%2C153736%2C159099%2C161931%2C163950%2C166571%2C169524%2C170443%2C172100%2C175490%2C180024%2C182691%2C185929%2C184137%2C187963%2C190585%2C194321%2C191775%2C190479%2C188973%2C192151%2C193100%2C195134%2C197334%2C201913%2C203028%2C203194%2C205664%2C207427%2C206372%2C209144%2C211223%2C213136%2C213302%2C215246%2C217144%2C221904%2C228789%2C234890%2C242513%2C251371%2C263920%2C279120%2C295149%2C308195%2C324239%2C329873%2C335613%2C342407%2C344019%2C342212%2C345315%2C345631%2C338777%2C332917%2C327584%2C331847%2C321121%2C308301%2C306071%2C301009%2C289876%2C290765%2C289786%2C280823%2C270669%2C272552%7C100000%2C96032%2C97217%2C98010%2C98643%2C97941%2C99229%2C99103%2C99563%2C101794%2C100449%2C99034%2C99551%2C100679%2C101035%2C101990%2C100357%2C102300%2C102703%2C102944%2C101829%2C103876%2C104451%2C106544%2C107131%2C107165%2C108741%2C110213%2C109684%2C110443%2C113019%2C113916%2C114192%2C114744%2C116228%2C116883%2C115009%2C117470%2C119574%2C122392%2C121254%2C122323%2C122507%2C122473%2C123002%2C123117%2C126970%2C126475%2C128752%2C128856%2C127809%2C130926%2C130569%2C131029%2C130581%2C131041%2C131282%2C132018%2C131547%2C132559%2C137079%2C137056%2C137596%2C139931%2C138884%2C138574%2C141001%2C142576%2C143473%2C144508%2C144738%2C145992%2C146153%2C147510%2C149580%2C152467%2C154181%2C158976%2C162289%2C163577%2C167326%2C167913%2C171512%2C176021%2C174997%2C179413%2C178907%2C179091%2C180920%2C179022%2C176872%2C178930%2C177930%2C177665%2C171593%2C171374%2C165601%2C166901%2C170730%2C168902%2C167625%2C161081%2C162864&chl=86%7C%7C%7C%7C87%7C%7C%7C%7C88%7C%7C%7C%7C89%7C%7C%7C%7C90%7C%7C%7C%7C91%7C%7C%7C%7C92%7C%7C%7C%7C93%7C%7C%7C%7C94%7C%7C%7C%7C95%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%2C88000%2C358000%2C50000&chxs=1%2C0000DD%2C18%2C0%2Clt%2C0000DD%7C2%2C0000DD%2C0%2Cl&chxtc=1%2C-800%7C2%2C-800&chds=88000%2C358000&chdl=Wilmington%2C+NC%7CMontgomery%2C+AL&chdlp=b&chm=tLOW+%3A+%24100%5C%2C000+in+1986%2C3972dd%2C0%2C0%2C16%2C%2Cl%3A%3A-10%7CtHIGH+%3A+%24345%5C%2C631+in+2008%2C3972dd%2C0%2C88%2C16%2C%2Cl%3A%3A1&chma=70%2C30%2C30%2C30DEBUGGING so... exiting before image dump...