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 Series Title: Average Price: South urban; Apples, Red Delicious, per lb. (453.6 gm); NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1980 01 240·575
 1980 02 160.588
 1980 03 940·619
 1980 04 990·643
 1980 05 950.677
 1980 06 480.707
 1980 07 280·762
 1980 08 310.820
 1980 09 380·686
 1980 10 860.574
 1980 11 690.509
 1980 12 690·520
 1981 01  50.529
 1981 02  90.523
 1981 03  300·534
 1981 04  550·540
 1981 05  700·561
 1981 06  260·581
 1981 07  490·588
 1981 08  600·685
 1981 09  340.656
 1981 10  680.564
 1981 11  880.611
 1981 12  770.651
 1982 01 220.673
 1982 02 900·672
 1982 03 370.698
 1982 04 260.673
 1982 05 840·710
 1982 06 760·756
 1982 07 70·770
 1982 08 500·735
 1982 09 960.671
 1982 10 310·620
 1982 11 370.579
 1982 12 190·584
 1983 01  590·576
 1983 02  870.547
 1983 03  890.591
 1983 04  270·596
 1983 05  970.623
 1983 06  20·674
 1983 07  510·707
 1983 08  930·728
 1983 09  620·768
 1983 10  550·618
 1983 11  370.586
 1983 12  610·594
 1984 01 280.603
 1984 02 550·635
 1984 03 830.682
 1984 04 10·700
 1984 05 960.696
 1984 06 330·738
 1984 07 540·740
 1984 08 60·764
 1984 09 910·736
 1984 10 450·650
 1984 11 360.681
 1984 12 950·669
 1985 01  640.666
 1985 02  730.688
 1985 03  430·697
 1985 04  130·734
 1985 05  900·726
 1985 06  230.764
 1985 07  130·763
 1985 08  290.744
 1985 09  690.730
 1985 10  280·667
 1985 11  80.705
 1985 12  380.724
 1986 01 270.733
 1986 02 440.805
 1986 03 170.787
 1986 04 570.776
 1986 05 140·815
 1986 06 530·835
 1986 07 520.854
 1986 08 311·060
 1986 09 60·912
 1986 10 610.685
 1986 11 510.651
 1986 12 310·666
 1987 03  30·734
 1987 04  00·725
 1987 05  770·752
 1987 06  480.808
 1987 07  310·864
 1987 08  260·773
 1987 09  180·679
 1987 10  40.572
 1987 11  390.510
 1987 12  210.490
 1988 01 870·538
 1988 02 410·591
 1988 03 30.585
 1988 04 930·584
 1988 05 220.610
 1988 06 290.663
 1988 07 240·767
 1988 08 710·967
 1988 09 860·924
 1988 10 620.760
 1988 11 270.707
 1988 12 140·662
 1989 01  660.682
 1989 02  600·731
 1989 03  630.711
 1989 04  30·713
 1989 05  750·706
 1989 06  660.690
 1989 07  60.674
 1989 08  440.716
 1989 09  520.696
 1989 10  500·620
 1989 11  570·563
 1989 12  690·555
 1990 01 590·548
 1990 02 50.595
 1990 03 420.628
 1990 04 340.621
 1990 05 840·625
 1990 06 510·673
 1990 07 100·737
 1990 08 220.811
 1990 09 400.850
 1990 10 330·729
 1990 11 380.723
 1990 12 390.744
 1991 01  650.750
 1991 02  180.800
 1991 03  260·807
 1991 04  160·830
 1991 05  220·857
 1991 06  20·901
 1991 07  980·915
 1991 08  110.928
 1991 09  980·947
 1991 10  30.849
 1991 11  70.845
 1991 12  50.853
 1992 01 70.861
 1992 02 650·846
 1992 03 260.881
 1992 04 40.897
 1992 05 860·915
 1992 06 590.961
 1992 07 560·996
 1992 08 401·046
 1992 09 990·958
 1992 10 770.785
 1992 11 230·769
 1992 12 700.742
 1993 01  330·790
 1993 02  390.826
 1993 03  770.794
 1993 04  750.791
 1993 05  10.804
 1993 06  890.827
 1993 07  930·853
 1993 08  620·911
 1993 09  410·965
 1993 10  960.894
 1993 11  730.814
 1993 12  630.811
 1994 01 160·820
 1994 02 550.824
 1994 03 400·816
 1994 04 350·843
 1994 05 130·858
 1994 06 850·865
 1994 07 460.882
 1994 08 580·927
 1994 09 470·953
 1994 10 290·804
 1994 11 660·781
 1994 12 400.728
 1995 01  530.789
 1995 02  570.825
 1995 03  10.800
 1995 04  130.800
 1995 05  970.800
 1995 06  630·853
 1995 07  750.876
 1995 08  320·933
 1995 09  650·951
 1995 10  660·884
 1995 11  400.850
 1995 12  800·821
 1996 01 700·887
 1996 02 100.888
 1996 03 690·907
 1996 04 630.908
 1996 05 500.945
 1996 06 640.987
 1996 07 650·997
 1996 08 121.010
 1996 09 681·038
 1996 10 240·983
 1996 11 530.900
 1996 12 860.895
 1997 01  120.944
 1997 02  60.916
 1997 03  820·954
 1997 04  640.899
 1997 05  950.920
 1997 06  570·947
 1997 07  280.967
 1997 08  540.964
 1997 09  541.000
 1997 10  440·938
 1997 11  910.851
 1997 12  880·921
 1998 01 530·900
 1998 02 630.939
 1998 03 980·943
 1998 04 210.921
 1998 05 800.963
 1998 06 320.932
 1998 07 980·986
 1998 08 360·965
 1998 09 470·994
 1998 10 950.911
 1998 11 660·883
 1998 12 400·855
 1999 01  920·888
 1999 02  220.840
 1999 03  40·853
 1999 04  630·895
 1999 05  780.876
 1999 06  60.854
 1999 07  360·871
 1999 08  630.889
 1999 09  930·974
 1999 10  670·942
 1999 11  130.916
 1999 12  220·917
 2000 01 510·920
 2000 02 490.942
 2000 03 100·961
 2000 04 450·988
 2000 05 880.890
 2000 06 220·902
 2000 07 280.911
 2000 08 640.887
 2000 09 680.881
 2000 10 780.878
 2000 11 910·900
 2000 12 370·872
 2001 01  780.849
 2001 02  380.864
 2001 03  520·862
 2001 04  450·867
 2001 05  320.848
 2001 06  450.902
 2001 07  840.927
 2001 08  940.919
 2001 09  670·907
 2001 10  690.933
 2001 11  880.951
 2001 12  160.948
 2002 01 470·878
 2002 02 30.890
 2002 03 900.905
 2002 04 680.907
 2002 05 580.922
 2002 06 680·987
 2002 07 401·000
 2002 08 310·996
 2002 09 151.086
 2002 10 61·077
 2002 11 131.017
 2002 12 121.027
 2003 01  551·020
 2003 02  881.015
 2003 03  100·960
 2003 04  431.017
 2003 05  401·031
 2003 06  71·010
 2003 07  561·014
 2003 08  801·033
 2003 09  601.047
 2003 10  831.018
 2003 11  11·010
 2003 12  51.022
 2004 01 251.118
 2004 02 591.086
 2004 03 221·083
 2004 04 251·104
 2004 05 761·140
 2004 06 51.154
 2004 07 181·156
 2004 08 711·203
 2004 09 741.175
 2004 10 151.042
 2004 11 141·045
 2004 12 991.046
 2005 01  71.025
 2005 02  81·056
 2005 03  620.974
 2005 04  930·878
 2005 05  880·947
 2005 06  281.012
 2005 07  361.026
 2005 08  571·078
 2005 09  551.078
 2005 10  441·027
 2005 11  371·012
 2005 12  241·061
 2006 01 711.050
 2006 02 511.058
 2006 03 911·028
 2006 04 501.002
 2006 05 241·054
 2006 06 671.102
 2006 07 471.215
 2006 08 181.318
 2006 09 271·377
 2006 10 381.285
 2006 11 811·187
 2006 12 331·101
 2007 01  181.098
 2007 02  311.137
 2007 03  931.141
 2007 04  281.184
 2007 05  591·151
 2007 06  411.170
 2007 07  101·254
 2007 08  581.263
 2007 09  381·278
 2007 10  871·225
 2007 11  801·187
 2007 12  61.200
 2008 01 691·260
 2008 02 141.307
 2008 03 801·318
 2008 04 781·293
 2008 05 881·319
 2008 06 901·470
 2008 07 111·522
 2008 08 71.619
 2008 09 601·598
 2008 10 91.517
 2008 11 961·272
 2008 12 471.248
 2009 01  721.275
 2009 02  911·260
 2009 03  881·248
 2009 04  821.221
 2009 05  371.209
 2009 06  811·245
 2009 07  601·234
 2009 08  181·270
 2009 09  931·266
 2009 10  461·211
 2009 11  141.250
 2009 12  861·247
 2010 01 21·231
 2010 02 811.241
 2010 03 761·279
 2010 04 431.284
 2010 05 521.301
 2010 06 61.322
 2010 07 941.379
 2010 08 711·392
 2010 09 581.332
 2010 10 641.209
 2010 11 451.334
 2010 12 771·276
 2011 01  551·316
 2011 02  241.404
 2011 03  301·380
 2011 04  911.438
 2011 05  81.405
 2011 06  821.399
 2011 07  731·443
 2011 08  711.577
 2011 09  31.582
 2011 10  551·451
 2011 11  241·425
 2011 12  991.340
 2012 01 551·339
 2012 02 881·392
 2012 03 611.349
 2012 04 801.333
 2012 05 11·327
 2012 06 511·446
 2012 07 811.455
 2012 08 471·565
 2012 09 31·637
 2012 10 361·493
 2012 11 121·465
 2012 12 561·477
 2013 01  501·475
 2013 02  641.532
 2013 03  41·486
 2013 04  891.472
 2013 05  551·439
 2013 06  791·414
 2013 07  311·471
 2013 08  521.471
 2013 09  551·434
 2013 11  491·395
 2013 12  941.367
 2014 01 781·246
 2014 02 131·289
 2014 03 691·324
 2014 04 201.353
 2014 05 221.334
 2014 06 181·324
 2014 07 581.345
 2014 08 571.340
 2014 09 671·286
 2014 10 811·205
 2014 11 601.185
 2014 12 811·154
 2015 01  191.249
 2015 02  421·289
 2015 03  451·238
 2015 04  941.144
 2015 05  91·212
 2015 06  631·281
 2015 07  51·313
 2015 08  201·410


 2015 09  951·366
 2015 10  311.301
 2015 11  621·311
 2015 12  91·288
 2016 01 581·355
 2016 02 601·301
 2016 03 581.408
 2016 04 371.371
 2016 05 51.362
 2016 06 881.392
 2016 07 631.422
 2016 08 51.445
 2016 09 661.403
 2016 10 771·352
 2017 07  711.325
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 Series Title: Average Price: South urban; Apples, Red Delicious, per lb. (453.6 gm); NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format

Find out about Advanced Features such as online regressions, XY plots, and multiple series charting.

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