$City_1 = Morgantown, WV
$e =
$City_2 = Bismarck, ND
$e =
function get_years(Array,Morgantown, WV,) {
1960
Selecting city: Morgantown, WV
Searching backwards from 2025 for most recent data.
0: Year 2025 not found in data for Morgantown, WV.
Most recent data for Morgantown, WV 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
1993
The first year data is available for Morgantown, WV is : 1993 the most recent year of data is 2024.
return Array
}
function get_years(Array,Bismarck, ND,) {
1960
Selecting city: Bismarck, ND
Searching backwards from 2025 for most recent data.
0: Year 2025 not found in data for Bismarck, ND.
Most recent data for Bismarck, ND 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 Bismarck, ND is : 1986 the most recent year of data is 2024.
return Array
}

Inputs:

City_1 Morgantown, WV
City_2 Bismarck, ND
Price 250000
YearStart 2008
QuarterStart 1
YearEnd 2011
QuarterEnd 3

function check_year(Morgantown, WV,2008):

Data for 2008 is in the $c[Morgantown, WV] element.

function check_quarter():

Data for the 1 quarter is in the $c[Morgantown, WV][2008] element.
START $v_year = 2011

function check_year(Morgantown, WV,2011):

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

function check_quarter():

Data for the 3 quarter is in the $c[Morgantown, WV][2011] element.

function check_year(Bismarck, ND,2008):

Data for 2008 is in the $c[Bismarck, ND] element.

function check_quarter():

Data for the 1 quarter is in the $c[Bismarck, ND][2008] element.

function check_year(Bismarck, ND,2011):

Data for 2011 is in the $c[Bismarck, ND] element.

function check_quarter():

Data for the 3 quarter is in the $c[Bismarck, ND][2011] element.

function get_valuation():

Purchase price: $250000
Purchase year: 2008
Purchase quarter: 1
Start price index:178.39
Current price index:179.33
Based on HPI the home has appreciated 0.53% in 3.5 years at an average rate of 0.15% per year.
The current appreciations value is: $251317.34
Evaluation year: 2011
Evaluation quarter: 3
Evaluation period: 3.5 years (14 quarters or 42 months).


Array ( [0] => Morgantown, WV [1] => 250000 [2] => 2008 [3] => 1 [4] => 2011 [5] => 3 [6] => 3.5 [7] => 14 [8] => 42 [9] => 251317.34 [10] => 0.0052693536633221 [11] => 0.001505529618092 ) 1
Morgantown, WV
250000
2008
1
2011
3
3.5
14
42
251317.34
0.0052693536633221
0.001505529618092
Morgantown, WV
250000
2008
1
2011
3
3.5
14
42
251317.34
0.0052693536633221
0.001505529618092
178.39
179.33
p_year=2008 / ycount=2008 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
250000
2008(1) : Array[2008][1] : Value = 250000 (250000 / 250000)
qcount=2 / qend=4 / v_quarter=3
250939
2008(2) : Array[2008][2] : Value = 250939 (250000 / 250939)
qcount=3 / qend=4 / v_quarter=3
248781
2008(3) : Array[2008][3] : Value = 248781 (248781 / 250939)
qcount=4 / qend=4 / v_quarter=3
247870
2008(4) : Array[2008][4] : Value = 247870 (247870 / 250939)
p_year=2008 / ycount=2009 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
252971
2009(1) : Array[2009][1] : Value = 252971 (247870 / 252971)
qcount=2 / qend=4 / v_quarter=3
248963
2009(2) : Array[2009][2] : Value = 248963 (247870 / 252971)
qcount=3 / qend=4 / v_quarter=3
250042
2009(3) : Array[2009][3] : Value = 250042 (247870 / 252971)
qcount=4 / qend=4 / v_quarter=3
244927
2009(4) : Array[2009][4] : Value = 244927 (244927 / 252971)
p_year=2008 / ycount=2010 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
250434
2010(1) : Array[2010][1] : Value = 250434 (244927 / 252971)
qcount=2 / qend=4 / v_quarter=3
248066
2010(2) : Array[2010][2] : Value = 248066 (244927 / 252971)
qcount=3 / qend=4 / v_quarter=3
250434
2010(3) : Array[2010][3] : Value = 250434 (244927 / 252971)
qcount=4 / qend=4 / v_quarter=3
255115
2010(4) : Array[2010][4] : Value = 255115 (244927 / 255115)
p_year=2008 / ycount=2011 / v_year=2011

function check_quarter():

Data for the 1 quarter is in the $c[Morgantown, WV][2011] element.
qcount=1 / qend=3 / v_quarter=3
253532
2011(1) : Array[2011][1] : Value = 253532 (244927 / 255115)
qcount=2 / qend=3 / v_quarter=3
251682
2011(2) : Array[2011][2] : Value = 251682 (244927 / 255115)
qcount=3 / qend=3 / v_quarter=3
251317
2011(3) : Array[2011][3] : Value = 251317 (244927 / 255115)

function get_valuation():

Purchase price: $250000
Purchase year: 2008
Purchase quarter: 1
Start price index:187.85
Current price index:201.34
Based on HPI the home has appreciated 7.18% in 3.5 years at an average rate of 2.05% per year.
The current appreciations value is: $267953.15
Evaluation year: 2011
Evaluation quarter: 3
Evaluation period: 3.5 years (14 quarters or 42 months).


Bismarck, ND
250000
2008
1
2011
3
3.5
14
42
267953.15
0.071812616449295
0.020517890414084
187.85
201.34
p_year=2008 / ycount=2008 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
250000
2008(1) : Array[2008][1] : Value = 250000 (250000 / 250000)
qcount=2 / qend=4 / v_quarter=3
249840
2008(2) : Array[2008][2] : Value = 249840 (249840 / 250000)
qcount=3 / qend=4 / v_quarter=3
248776
2008(3) : Array[2008][3] : Value = 248776 (248776 / 250000)
qcount=4 / qend=4 / v_quarter=3
251491
2008(4) : Array[2008][4] : Value = 251491 (248776 / 251491)
p_year=2008 / ycount=2009 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
251091
2009(1) : Array[2009][1] : Value = 251091 (248776 / 251491)
qcount=2 / qend=4 / v_quarter=3
251158
2009(2) : Array[2009][2] : Value = 251158 (248776 / 251491)
qcount=3 / qend=4 / v_quarter=3
250905
2009(3) : Array[2009][3] : Value = 250905 (248776 / 251491)
qcount=4 / qend=4 / v_quarter=3
251863
2009(4) : Array[2009][4] : Value = 251863 (248776 / 251863)
p_year=2008 / ycount=2010 / v_year=2011
qcount=1 / qend=4 / v_quarter=3
251797
2010(1) : Array[2010][1] : Value = 251797 (248776 / 251863)
qcount=2 / qend=4 / v_quarter=3
253074
2010(2) : Array[2010][2] : Value = 253074 (248776 / 253074)
qcount=3 / qend=4 / v_quarter=3
253939
2010(3) : Array[2010][3] : Value = 253939 (248776 / 253939)
qcount=4 / qend=4 / v_quarter=3
256614
2010(4) : Array[2010][4] : Value = 256614 (248776 / 256614)
p_year=2008 / ycount=2011 / v_year=2011

function check_quarter():

Data for the 1 quarter is in the $c[Bismarck, ND][2011] element.
qcount=1 / qend=3 / v_quarter=3
259462
2011(1) : Array[2011][1] : Value = 259462 (248776 / 259462)
qcount=2 / qend=3 / v_quarter=3
263708
2011(2) : Array[2011][2] : Value = 263708 (248776 / 263708)
qcount=3 / qend=3 / v_quarter=3
267953
2011(3) : Array[2011][3] : Value = 267953 (248776 / 267953)
HomePriceGraph.com+++++++++++++++++++Price+appreciation+in+Morgantown%2C+WV+for+years+2008+to+2011++++++++++++++++++++++++++++++++++++++++++++++++++++%7CTotal+appreciation+%3D+%241%2C317%280.53%25%29+++Start%3A+%24250%2C000+End%3A+%24251%2C317
t:250000,250939,248781,247870,252971,248963,250042,244927,250434,248066,250434,255115,253532,251682,251317|250000,249840,248776,251491,251091,251158,250905,251863,251797,253074,253939,256614,259462,263708,267953
2008|.|.|.|2009|.|.|.|2010|.|.|.|2011|.|.|
244000
269000
2000
244000
269000
Morgantown, WV|Bismarck, ND
7
11
2009
2010
4
4
244927
255115

function graph():

post_chtt HomePriceGraph.com Price appreciation in Morgantown, WV for years 2008 to 2011 |Total appreciation = $1,317(0.53%) Start: $250,000 End: $251,317
post_cht ls
post_chd t:250000,250939,248781,247870,252971,248963,250042,244927,250434,248066,250434,255115,253532,251682,251317|250000,249840,248776,251491,251091,251158,250905,251863,251797,253074,253939,256614,259462,263708,267953
post_chl 2008|.|.|.|2009|.|.|.|2010|.|.|.|2011|.|.|
post_chxl
post_chbh a
post_chco 3972cc,cccccc
post_chs 800x375
post_chdl Morgantown, WV|Bismarck, ND
post_chxt x,y
post_chxr 1,244000,269000,2000
post_chxs 1,0000DD,18,0,lt,0000DD|2,0000DD,0,l
post_chxtc 1,-800|2,-800
post_chds 244000,269000
post_chf
http://chart.apis.google.com/chart?chid=651160023525022b671ab0d5c4d3217b+chtt=HomePriceGraph.com+++++++++++++++++++Price+appreciation+in+Morgantown%2C+WV+for+years+2008+to+2011++++++++++++++++++++++++++++++++++++++++++++++++++++%7CTotal+appreciation+%3D+%241%2C317%280.53%25%29+++Start%3A+%24250%2C000+End%3A+%24251%2C317&cht=ls&chd=t%3A250000%2C250939%2C248781%2C247870%2C252971%2C248963%2C250042%2C244927%2C250434%2C248066%2C250434%2C255115%2C253532%2C251682%2C251317%7C250000%2C249840%2C248776%2C251491%2C251091%2C251158%2C250905%2C251863%2C251797%2C253074%2C253939%2C256614%2C259462%2C263708%2C267953&chl=2008%7C.%7C.%7C.%7C2009%7C.%7C.%7C.%7C2010%7C.%7C.%7C.%7C2011%7C.%7C.%7C&chbh=a&chco=3972cc%2Ccccccc&chs=800x375&chxt=x%2Cy&chxr=1%2C244000%2C269000%2C2000&chxs=1%2C0000DD%2C18%2C0%2Clt%2C0000DD%7C2%2C0000DD%2C0%2Cl&chxtc=1%2C-800%7C2%2C-800&chds=244000%2C269000&chdl=Morgantown%2C+WV%7CBismarck%2C+ND&chdlp=b&chm=tLOW+%3A+%24244%5C%2C927+in+2009%2C3972dd%2C0%2C7%2C16%2C%2Cl%3A%3A-10%7CtHIGH+%3A+%24255%5C%2C115+in+2010%2C3972dd%2C0%2C11%2C16%2C%2Cl%3A%3A1&chma=70%2C30%2C30%2C30DEBUGGING so... exiting before image dump...