$City_1 = Minneapolis-St. Paul-Bloomington, MN-WI
$e =
$City_2 = Bismarck, ND
$e =
function get_years(Array,Minneapolis-St. Paul-Bloomington, MN-WI,) {
1960
Selecting city: Minneapolis-St. Paul-Bloomington, MN-WI
Searching backwards from 2025 for most recent data.
0: Year 2025 not found in data for Minneapolis-St. Paul-Bloomington, MN-WI.
Most recent data for Minneapolis-St. Paul-Bloomington, MN-WI 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 Minneapolis-St. Paul-Bloomington, MN-WI is : 1976 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 Minneapolis-St. Paul-Bloomington, MN-WI
City_2 Bismarck, ND
Price 198000
YearStart 1998
QuarterStart 1
YearEnd 2010
QuarterEnd 3

function check_year(Minneapolis-St. Paul-Bloomington, MN-WI,1998):

Data for 1998 is in the $c[Minneapolis-St. Paul-Bloomington, MN-WI] element.

function check_quarter():

Data for the 1 quarter is in the $c[Minneapolis-St. Paul-Bloomington, MN-WI][1998] element.
START $v_year = 2010

function check_year(Minneapolis-St. Paul-Bloomington, MN-WI,2010):

Data for 2010 is in the $c[Minneapolis-St. Paul-Bloomington, MN-WI] element.
END $v_year = 2010

function check_quarter():

Data for the 3 quarter is in the $c[Minneapolis-St. Paul-Bloomington, MN-WI][2010] element.

function check_year(Bismarck, ND,1998):

Data for 1998 is in the $c[Bismarck, ND] element.

function check_quarter():

Data for the 1 quarter is in the $c[Bismarck, ND][1998] element.

function check_year(Bismarck, ND,2010):

Data for 2010 is in the $c[Bismarck, ND] element.

function check_quarter():

Data for the 3 quarter is in the $c[Bismarck, ND][2010] element.

function get_valuation():

Purchase price: $198000
Purchase year: 1998
Purchase quarter: 1
Start price index:117.33
Current price index:189.12
Based on HPI the home has appreciated 61.19% in 12.5 years at an average rate of 4.89% per year.
The current appreciations value is: $319149.07
Evaluation year: 2010
Evaluation quarter: 3
Evaluation period: 12.5 years (50 quarters or 150 months).


Array ( [0] => Minneapolis-St. Paul-Bloomington, MN-WI [1] => 198000 [2] => 1998 [3] => 1 [4] => 2010 [5] => 3 [6] => 12.5 [7] => 50 [8] => 150 [9] => 319149.07 [10] => 0.61186397340834 [11] => 0.048949117872667 ) 1
Minneapolis-St. Paul-Bloomington, MN-WI
198000
1998
1
2010
3
12.5
50
150
319149.07
0.61186397340834
0.048949117872667
Minneapolis-St. Paul-Bloomington, MN-WI
198000
1998
1
2010
3
12.5
50
150
319149.07
0.61186397340834
0.048949117872667
117.33
189.12
p_year=1998 / ycount=1998 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
198000
1998(1) : Array[1998][1] : Value = 198000 (198000 / 198000)
qcount=2 / qend=4 / v_quarter=3
199721
1998(2) : Array[1998][2] : Value = 199721 (198000 / 199721)
qcount=3 / qend=4 / v_quarter=3
203839
1998(3) : Array[1998][3] : Value = 203839 (198000 / 203839)
qcount=4 / qend=4 / v_quarter=3
206303
1998(4) : Array[1998][4] : Value = 206303 (198000 / 206303)
p_year=1998 / ycount=1999 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
209897
1999(1) : Array[1999][1] : Value = 209897 (198000 / 209897)
qcount=2 / qend=4 / v_quarter=3
216884
1999(2) : Array[1999][2] : Value = 216884 (198000 / 216884)
qcount=3 / qend=4 / v_quarter=3
224495
1999(3) : Array[1999][3] : Value = 224495 (198000 / 224495)
qcount=4 / qend=4 / v_quarter=3
227363
1999(4) : Array[1999][4] : Value = 227363 (198000 / 227363)
p_year=1998 / ycount=2000 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
234569
2000(1) : Array[2000][1] : Value = 234569 (198000 / 234569)
qcount=2 / qend=4 / v_quarter=3
242146
2000(2) : Array[2000][2] : Value = 242146 (198000 / 242146)
qcount=3 / qend=4 / v_quarter=3
248475
2000(3) : Array[2000][3] : Value = 248475 (198000 / 248475)
qcount=4 / qend=4 / v_quarter=3
253554
2000(4) : Array[2000][4] : Value = 253554 (198000 / 253554)
p_year=1998 / ycount=2001 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
260338
2001(1) : Array[2001][1] : Value = 260338 (198000 / 260338)
qcount=2 / qend=4 / v_quarter=3
267915
2001(2) : Array[2001][2] : Value = 267915 (198000 / 267915)
qcount=3 / qend=4 / v_quarter=3
276690
2001(3) : Array[2001][3] : Value = 276690 (198000 / 276690)
qcount=4 / qend=4 / v_quarter=3
280605
2001(4) : Array[2001][4] : Value = 280605 (198000 / 280605)
p_year=1998 / ycount=2002 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
286833
2002(1) : Array[2002][1] : Value = 286833 (198000 / 286833)
qcount=2 / qend=4 / v_quarter=3
295253
2002(2) : Array[2002][2] : Value = 295253 (198000 / 295253)
qcount=3 / qend=4 / v_quarter=3
301649
2002(3) : Array[2002][3] : Value = 301649 (198000 / 301649)
qcount=4 / qend=4 / v_quarter=3
306222
2002(4) : Array[2002][4] : Value = 306222 (198000 / 306222)
p_year=1998 / ycount=2003 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
310762
2003(1) : Array[2003][1] : Value = 310762 (198000 / 310762)
qcount=2 / qend=4 / v_quarter=3
314694
2003(2) : Array[2003][2] : Value = 314694 (198000 / 314694)
qcount=3 / qend=4 / v_quarter=3
321849
2003(3) : Array[2003][3] : Value = 321849 (198000 / 321849)
qcount=4 / qend=4 / v_quarter=3
335147
2003(4) : Array[2003][4] : Value = 335147 (198000 / 335147)
p_year=1998 / ycount=2004 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
338590
2004(1) : Array[2004][1] : Value = 338590 (198000 / 338590)
qcount=2 / qend=4 / v_quarter=3
345627
2004(2) : Array[2004][2] : Value = 345627 (198000 / 345627)
qcount=3 / qend=4 / v_quarter=3
358452
2004(3) : Array[2004][3] : Value = 358452 (198000 / 358452)
qcount=4 / qend=4 / v_quarter=3
364207
2004(4) : Array[2004][4] : Value = 364207 (198000 / 364207)
p_year=1998 / ycount=2005 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
370974
2005(1) : Array[2005][1] : Value = 370974 (198000 / 370974)
qcount=2 / qend=4 / v_quarter=3
378298
2005(2) : Array[2005][2] : Value = 378298 (198000 / 378298)
qcount=3 / qend=4 / v_quarter=3
384980
2005(3) : Array[2005][3] : Value = 384980 (198000 / 384980)
qcount=4 / qend=4 / v_quarter=3
389216
2005(4) : Array[2005][4] : Value = 389216 (198000 / 389216)
p_year=1998 / ycount=2006 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
391697
2006(1) : Array[2006][1] : Value = 391697 (198000 / 391697)
qcount=2 / qend=4 / v_quarter=3
389250
2006(2) : Array[2006][2] : Value = 389250 (198000 / 391697)
qcount=3 / qend=4 / v_quarter=3
388895
2006(3) : Array[2006][3] : Value = 388895 (198000 / 391697)
qcount=4 / qend=4 / v_quarter=3
392625
2006(4) : Array[2006][4] : Value = 392625 (198000 / 392625)
p_year=1998 / ycount=2007 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
393064
2007(1) : Array[2007][1] : Value = 393064 (198000 / 393064)
qcount=2 / qend=4 / v_quarter=3
387967
2007(2) : Array[2007][2] : Value = 387967 (198000 / 393064)
qcount=3 / qend=4 / v_quarter=3
378804
2007(3) : Array[2007][3] : Value = 378804 (198000 / 393064)
qcount=4 / qend=4 / v_quarter=3
377015
2007(4) : Array[2007][4] : Value = 377015 (198000 / 393064)
p_year=1998 / ycount=2008 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
376948
2008(1) : Array[2008][1] : Value = 376948 (198000 / 393064)
qcount=2 / qend=4 / v_quarter=3
362587
2008(2) : Array[2008][2] : Value = 362587 (198000 / 393064)
qcount=3 / qend=4 / v_quarter=3
348681
2008(3) : Array[2008][3] : Value = 348681 (198000 / 393064)
qcount=4 / qend=4 / v_quarter=3
347027
2008(4) : Array[2008][4] : Value = 347027 (198000 / 393064)
p_year=1998 / ycount=2009 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
352731
2009(1) : Array[2009][1] : Value = 352731 (198000 / 393064)
qcount=2 / qend=4 / v_quarter=3
339636
2009(2) : Array[2009][2] : Value = 339636 (198000 / 393064)
qcount=3 / qend=4 / v_quarter=3
324465
2009(3) : Array[2009][3] : Value = 324465 (198000 / 393064)
qcount=4 / qend=4 / v_quarter=3
320364
2009(4) : Array[2009][4] : Value = 320364 (198000 / 393064)
p_year=1998 / ycount=2010 / v_year=2010

function check_quarter():

Data for the 1 quarter is in the $c[Minneapolis-St. Paul-Bloomington, MN-WI][2010] element.
qcount=1 / qend=3 / v_quarter=3
314812
2010(1) : Array[2010][1] : Value = 314812 (198000 / 393064)
qcount=2 / qend=3 / v_quarter=3
312213
2010(2) : Array[2010][2] : Value = 312213 (198000 / 393064)
qcount=3 / qend=3 / v_quarter=3
319149
2010(3) : Array[2010][3] : Value = 319149 (198000 / 393064)

function get_valuation():

Purchase price: $198000
Purchase year: 1998
Purchase quarter: 1
Start price index:111.32
Current price index:190.81
Based on HPI the home has appreciated 71.41% in 12.5 years at an average rate of 5.71% per year.
The current appreciations value is: $339385.38
Evaluation year: 2010
Evaluation quarter: 3
Evaluation period: 12.5 years (50 quarters or 150 months).


Bismarck, ND
198000
1998
1
2010
3
12.5
50
150
339385.38
0.71406755300036
0.057125404240029
111.32
190.81
p_year=1998 / ycount=1998 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
198000
1998(1) : Array[1998][1] : Value = 198000 (198000 / 198000)
qcount=2 / qend=4 / v_quarter=3
201753
1998(2) : Array[1998][2] : Value = 201753 (198000 / 201753)
qcount=3 / qend=4 / v_quarter=3
203425
1998(3) : Array[1998][3] : Value = 203425 (198000 / 203425)
qcount=4 / qend=4 / v_quarter=3
205364
1998(4) : Array[1998][4] : Value = 205364 (198000 / 205364)
p_year=1998 / ycount=1999 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
207178
1999(1) : Array[1999][1] : Value = 207178 (198000 / 207178)
qcount=2 / qend=4 / v_quarter=3
207907
1999(2) : Array[1999][2] : Value = 207907 (198000 / 207907)
qcount=3 / qend=4 / v_quarter=3
208370
1999(3) : Array[1999][3] : Value = 208370 (198000 / 208370)
qcount=4 / qend=4 / v_quarter=3
206733
1999(4) : Array[1999][4] : Value = 206733 (198000 / 208370)
p_year=1998 / ycount=2000 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
213225
2000(1) : Array[2000][1] : Value = 213225 (198000 / 213225)
qcount=2 / qend=4 / v_quarter=3
210735
2000(2) : Array[2000][2] : Value = 210735 (198000 / 213225)
qcount=3 / qend=4 / v_quarter=3
212087
2000(3) : Array[2000][3] : Value = 212087 (198000 / 213225)
qcount=4 / qend=4 / v_quarter=3
217281
2000(4) : Array[2000][4] : Value = 217281 (198000 / 217281)
p_year=1998 / ycount=2001 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
221283
2001(1) : Array[2001][1] : Value = 221283 (198000 / 221283)
qcount=2 / qend=4 / v_quarter=3
222065
2001(2) : Array[2001][2] : Value = 222065 (198000 / 222065)
qcount=3 / qend=4 / v_quarter=3
223791
2001(3) : Array[2001][3] : Value = 223791 (198000 / 223791)
qcount=4 / qend=4 / v_quarter=3
225818
2001(4) : Array[2001][4] : Value = 225818 (198000 / 225818)
p_year=1998 / ycount=2002 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
227953
2002(1) : Array[2002][1] : Value = 227953 (198000 / 227953)
qcount=2 / qend=4 / v_quarter=3
232826
2002(2) : Array[2002][2] : Value = 232826 (198000 / 232826)
qcount=3 / qend=4 / v_quarter=3
236970
2002(3) : Array[2002][3] : Value = 236970 (198000 / 236970)
qcount=4 / qend=4 / v_quarter=3
239905
2002(4) : Array[2002][4] : Value = 239905 (198000 / 239905)
p_year=1998 / ycount=2003 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
241008
2003(1) : Array[2003][1] : Value = 241008 (198000 / 241008)
qcount=2 / qend=4 / v_quarter=3
243587
2003(2) : Array[2003][2] : Value = 243587 (198000 / 243587)
qcount=3 / qend=4 / v_quarter=3
247340
2003(3) : Array[2003][3] : Value = 247340 (198000 / 247340)
qcount=4 / qend=4 / v_quarter=3
247589
2003(4) : Array[2003][4] : Value = 247589 (198000 / 247589)
p_year=1998 / ycount=2004 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
252231
2004(1) : Array[2004][1] : Value = 252231 (198000 / 252231)
qcount=2 / qend=4 / v_quarter=3
256678
2004(2) : Array[2004][2] : Value = 256678 (198000 / 256678)
qcount=3 / qend=4 / v_quarter=3
264522
2004(3) : Array[2004][3] : Value = 264522 (198000 / 264522)
qcount=4 / qend=4 / v_quarter=3
268453
2004(4) : Array[2004][4] : Value = 268453 (198000 / 268453)
p_year=1998 / ycount=2005 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
269591
2005(1) : Array[2005][1] : Value = 269591 (198000 / 269591)
qcount=2 / qend=4 / v_quarter=3
278609
2005(2) : Array[2005][2] : Value = 278609 (198000 / 278609)
qcount=3 / qend=4 / v_quarter=3
287893
2005(3) : Array[2005][3] : Value = 287893 (198000 / 287893)
qcount=4 / qend=4 / v_quarter=3
289601
2005(4) : Array[2005][4] : Value = 289601 (198000 / 289601)
p_year=1998 / ycount=2006 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
293905
2006(1) : Array[2006][1] : Value = 293905 (198000 / 293905)
qcount=2 / qend=4 / v_quarter=3
303208
2006(2) : Array[2006][2] : Value = 303208 (198000 / 303208)
qcount=3 / qend=4 / v_quarter=3
310518
2006(3) : Array[2006][3] : Value = 310518 (198000 / 310518)
qcount=4 / qend=4 / v_quarter=3
310429
2006(4) : Array[2006][4] : Value = 310429 (198000 / 310518)
p_year=1998 / ycount=2007 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
318789
2007(1) : Array[2007][1] : Value = 318789 (198000 / 318789)
qcount=2 / qend=4 / v_quarter=3
323751
2007(2) : Array[2007][2] : Value = 323751 (198000 / 323751)
qcount=3 / qend=4 / v_quarter=3
327273
2007(3) : Array[2007][3] : Value = 327273 (198000 / 327273)
qcount=4 / qend=4 / v_quarter=3
329158
2007(4) : Array[2007][4] : Value = 329158 (198000 / 329158)
p_year=1998 / ycount=2008 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
334121
2008(1) : Array[2008][1] : Value = 334121 (198000 / 334121)
qcount=2 / qend=4 / v_quarter=3
333907
2008(2) : Array[2008][2] : Value = 333907 (198000 / 334121)
qcount=3 / qend=4 / v_quarter=3
332484
2008(3) : Array[2008][3] : Value = 332484 (198000 / 334121)
qcount=4 / qend=4 / v_quarter=3
336113
2008(4) : Array[2008][4] : Value = 336113 (198000 / 336113)
p_year=1998 / ycount=2009 / v_year=2010
qcount=1 / qend=4 / v_quarter=3
335579
2009(1) : Array[2009][1] : Value = 335579 (198000 / 336113)
qcount=2 / qend=4 / v_quarter=3
335668
2009(2) : Array[2009][2] : Value = 335668 (198000 / 336113)
qcount=3 / qend=4 / v_quarter=3
335330
2009(3) : Array[2009][3] : Value = 335330 (198000 / 336113)
qcount=4 / qend=4 / v_quarter=3
336611
2009(4) : Array[2009][4] : Value = 336611 (198000 / 336611)
p_year=1998 / ycount=2010 / v_year=2010

function check_quarter():

Data for the 1 quarter is in the $c[Bismarck, ND][2010] element.
qcount=1 / qend=3 / v_quarter=3
336522
2010(1) : Array[2010][1] : Value = 336522 (198000 / 336611)
qcount=2 / qend=3 / v_quarter=3
338229
2010(2) : Array[2010][2] : Value = 338229 (198000 / 338229)
qcount=3 / qend=3 / v_quarter=3
339385
2010(3) : Array[2010][3] : Value = 339385 (198000 / 339385)
HomePriceGraph.com+Price+appreciation+in+Minneapolis-St.+Paul-Bloomington%2C+MN-WI+for+years+1998+to+2010+++++++++++++++++++++++++++%7CTotal+appreciation+%3D+%24121%2C149%2861.19%25%29+++Start%3A+%24198%2C000+End%3A+%24319%2C149
t:198000,199721,203839,206303,209897,216884,224495,227363,234569,242146,248475,253554,260338,267915,276690,280605,286833,295253,301649,306222,310762,314694,321849,335147,338590,345627,358452,364207,370974,378298,384980,389216,391697,389250,388895,392625,393064,387967,378804,377015,376948,362587,348681,347027,352731,339636,324465,320364,314812,312213,319149|198000,201753,203425,205364,207178,207907,208370,206733,213225,210735,212087,217281,221283,222065,223791,225818,227953,232826,236970,239905,241008,243587,247340,247589,252231,256678,264522,268453,269591,278609,287893,289601,293905,303208,310518,310429,318789,323751,327273,329158,334121,333907,332484,336113,335579,335668,335330,336611,336522,338229,339385
98|.|.|.|99|.|.|.|00|.|.|.|01|.|.|.|02|.|.|.|03|.|.|.|04|.|.|.|05|.|.|.|06|.|.|.|07|.|.|.|08|.|.|.|09|.|.|.|10|.|.|
188000
403000
50000
188000
403000
Minneapolis-St. Paul-Bloomington, MN-WI|Bismarck, ND
0
36
1998
2007
1
1
198000
393064

function graph():

post_chtt HomePriceGraph.com Price appreciation in Minneapolis-St. Paul-Bloomington, MN-WI for years 1998 to 2010 |Total appreciation = $121,149(61.19%) Start: $198,000 End: $319,149
post_cht ls
post_chd t:198000,199721,203839,206303,209897,216884,224495,227363,234569,242146,248475,253554,260338,267915,276690,280605,286833,295253,301649,306222,310762,314694,321849,335147,338590,345627,358452,364207,370974,378298,384980,389216,391697,389250,388895,392625,393064,387967,378804,377015,376948,362587,348681,347027,352731,339636,324465,320364,314812,312213,319149|198000,201753,203425,205364,207178,207907,208370,206733,213225,210735,212087,217281,221283,222065,223791,225818,227953,232826,236970,239905,241008,243587,247340,247589,252231,256678,264522,268453,269591,278609,287893,289601,293905,303208,310518,310429,318789,323751,327273,329158,334121,333907,332484,336113,335579,335668,335330,336611,336522,338229,339385
post_chl 98|.|.|.|99|.|.|.|00|.|.|.|01|.|.|.|02|.|.|.|03|.|.|.|04|.|.|.|05|.|.|.|06|.|.|.|07|.|.|.|08|.|.|.|09|.|.|.|10|.|.|
post_chxl
post_chbh a
post_chco 3972cc,cccccc
post_chs 800x375
post_chdl Minneapolis-St. Paul-Bloomington, MN-WI|Bismarck, ND
post_chxt x,y
post_chxr 1,188000,403000,50000
post_chxs 1,0000DD,18,0,lt,0000DD|2,0000DD,0,l
post_chxtc 1,-800|2,-800
post_chds 188000,403000
post_chf
http://chart.apis.google.com/chart?chid=17d5ebe23323fa63861987c39a5e947a+chtt=HomePriceGraph.com+Price+appreciation+in+Minneapolis-St.+Paul-Bloomington%2C+MN-WI+for+years+1998+to+2010+++++++++++++++++++++++++++%7CTotal+appreciation+%3D+%24121%2C149%2861.19%25%29+++Start%3A+%24198%2C000+End%3A+%24319%2C149&cht=ls&chd=t%3A198000%2C199721%2C203839%2C206303%2C209897%2C216884%2C224495%2C227363%2C234569%2C242146%2C248475%2C253554%2C260338%2C267915%2C276690%2C280605%2C286833%2C295253%2C301649%2C306222%2C310762%2C314694%2C321849%2C335147%2C338590%2C345627%2C358452%2C364207%2C370974%2C378298%2C384980%2C389216%2C391697%2C389250%2C388895%2C392625%2C393064%2C387967%2C378804%2C377015%2C376948%2C362587%2C348681%2C347027%2C352731%2C339636%2C324465%2C320364%2C314812%2C312213%2C319149%7C198000%2C201753%2C203425%2C205364%2C207178%2C207907%2C208370%2C206733%2C213225%2C210735%2C212087%2C217281%2C221283%2C222065%2C223791%2C225818%2C227953%2C232826%2C236970%2C239905%2C241008%2C243587%2C247340%2C247589%2C252231%2C256678%2C264522%2C268453%2C269591%2C278609%2C287893%2C289601%2C293905%2C303208%2C310518%2C310429%2C318789%2C323751%2C327273%2C329158%2C334121%2C333907%2C332484%2C336113%2C335579%2C335668%2C335330%2C336611%2C336522%2C338229%2C339385&chl=98%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&chbh=a&chco=3972cc%2Ccccccc&chs=800x375&chxt=x%2Cy&chxr=1%2C188000%2C403000%2C50000&chxs=1%2C0000DD%2C18%2C0%2Clt%2C0000DD%7C2%2C0000DD%2C0%2Cl&chxtc=1%2C-800%7C2%2C-800&chds=188000%2C403000&chdl=Minneapolis-St.+Paul-Bloomington%2C+MN-WI%7CBismarck%2C+ND&chdlp=b&chm=tLOW+%3A+%24198%5C%2C000+in+1998%2C3972dd%2C0%2C0%2C16%2C%2Cl%3A%3A-10%7CtHIGH+%3A+%24393%5C%2C064+in+2007%2C3972dd%2C0%2C36%2C16%2C%2Cl%3A%3A1&chma=70%2C30%2C30%2C30DEBUGGING so... exiting before image dump...