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 Series Title: Average Price: South urban; Bread, white, pan, per lb. (453.6 gm); NSA
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 1980 01 960·452
 1980 02 710·458
 1980 03 830.459
 1980 04 30.465
 1980 05 270.449
 1980 06 530·444
 1980 07 800.448
 1980 08 380·451
 1980 09 370.453
 1980 10 450·458
 1980 11 900·470
 1980 12 840.470
 1981 01  760.478
 1981 02  310·473
 1981 03  270·481
 1981 04  850.476
 1981 05  190.478
 1981 06  150·480
 1981 07  270.484
 1981 08  100.484
 1981 09  680·490
 1981 10  300.479
 1981 11  550.479
 1981 12  550.475
 1982 01 470·494
 1982 02 330.486
 1982 03 980·480
 1982 04 360.488
 1982 05 70.492
 1982 06 50·488
 1982 07 680·497
 1982 08 00·496
 1982 09 230·499
 1982 10 530.499
 1982 11 50·491
 1982 12 150·493
 1983 01  950.502
 1983 02  80.508
 1983 03  700·508
 1983 04  750.517
 1983 05  500·517
 1983 06  280·507
 1983 07  510.527
 1983 08  990.506
 1983 09  370.500
 1983 10  930·496
 1983 11  620.503
 1983 12  320.502
 1984 01 310.507
 1984 02 100·508
 1984 03 410.498
 1984 04 420·493
 1984 05 340·505
 1984 06 120·500
 1984 07 490.509
 1984 08 240.502
 1984 09 700·495
 1984 10 540.486
 1984 11 760.495
 1984 12 970·496
 1985 01  900.498
 1985 02  180.499
 1985 03  330.501
 1985 04  50.498
 1985 05  700·501
 1985 06  120.499
 1985 07  600·518
 1985 08  170.517
 1985 09  90.520
 1985 10  660·518
 1985 11  180.531
 1985 12  270.537
 1986 01 330·537
 1986 02 370·537
 1986 03 960.534
 1986 04 540·534
 1986 05 930·535
 1986 06 70·535
 1986 07 70.535
 1986 08 440.536
 1986 09 640·529
 1986 10 830·533
 1986 11 870.524
 1986 12 630·528
 1987 01  460.503
 1987 02  950·504
 1987 03  20·502
 1987 04  80.498
 1987 05  640.494
 1987 06  20·488
 1987 07  370.500
 1987 08  970·499
 1987 09  700·511
 1987 10  840·524
 1987 11  70·521
 1987 12  740.538
 1988 01 380·559
 1988 02 480·554
 1988 03 480.549
 1988 04 80·556
 1988 05 690·544
 1988 06 250·548
 1988 07 250·546
 1988 08 930.555
 1988 09 880·583
 1988 10 730·591
 1988 11 240·574
 1988 12 490.598
 1989 01  450·577
 1989 02  730·583
 1989 03  590.581
 1989 04  200.585
 1989 05  170.588
 1989 06  320.605
 1989 07  670.600
 1989 08  740.600
 1989 09  30.598
 1989 10  810.598
 1989 11  120·596
 1989 12  70.607
 1990 01 290.597
 1990 02 770·608
 1990 03 810.578
 1990 04 360.572
 1990 05 450.557
 1990 06 10·572
 1990 07 880·564
 1990 08 70.606
 1990 09 260.595
 1990 10 600.593
 1990 11 700·589
 1990 12 880.593
 1991 01  740.596
 1991 02  870·592
 1991 03  890.597
 1991 04  740·587
 1991 05  130.584
 1991 06  360·582
 1991 07  350.585
 1991 08  830·601
 1991 09  930·604
 1991 10  910·601
 1991 11  190·617
 1991 12  600·585
 1992 01 910·600
 1992 02 580·605
 1992 03 800·613
 1992 04 740.610
 1992 05 60·611
 1992 06 680·609
 1992 07 810·633
 1992 08 190·626
 1992 09 640·637
 1992 10 780.623
 1992 11 90.623
 1992 12 150·618
 1993 01  150.646
 1993 02  700·644
 1993 03  780.643
 1993 04  50·637
 1993 05  360·639
 1993 06  500·637
 1993 07  240·632
 1993 08  580.631
 1993 09  250·624
 1993 10  500.632
 1993 11  120.656
 1993 12  690·644
 1994 01 80·639
 1994 02 270·638
 1994 03 290·649
 1994 04 560·651
 1994 05 370.662
 1994 06 610.654
 1994 07 880·656
 1994 08 650.647
 1994 09 850.682
 1994 10 610·673
 1994 11 270·689
 1994 12 640.679
 1995 01  550·692
 1995 02  570·685
 1995 03  80·692
 1995 04  470.700
 1995 05  700·699
 1995 06  70.723
 1995 07  200.738
 1995 08  330.747
 1995 09  820·749
 1995 10  910.752
 1995 11  750·756
 1995 12  670.768
 1996 01 650·817
 1996 02 170.803
 1996 03 120.831
 1996 04 170·830
 1996 05 210.848
 1996 06 150.849
 1996 07 930·857
 1996 08 780·877
 1996 09 750·825
 1996 10 440.819
 1996 11 70·826
 1996 12 690.817
 1997 01  760·814
 1997 02  840·823
 1997 03  650·805
 1997 04  350.810
 1997 05  10.820
 1997 06  410.825
 1997 07  60.824
 1997 08  430.828
 1997 09  490·827
 1997 10  490.845
 1997 11  930.848
 1997 12  890.838
 1998 01 470.753
 1998 02 620.763
 1998 03 140·752
 1998 04 910.762
 1998 05 440.758
 1998 06 640.773
 1998 07 810·781
 1998 08 930·771
 1998 09 160.759
 1998 10 600.771
 1998 11 330.758
 1998 12 660.768
 1999 01  640.779
 1999 02  830·774
 1999 03  330·800
 1999 04  20·789
 1999 05  120.794
 1999 06  880·776
 1999 07  670.805
 1999 08  220.791
 1999 09  110·781
 1999 10  580.792
 1999 11  500·806
 1999 12  680.820
 2000 01 370.822
 2000 02 980.822
 2000 03 190·827
 2000 04 110.832
 2000 05 890·803
 2000 06 420.813
 2000 07 370.810
 2000 08 450.799
 2000 09 940·796
 2000 10 450·811
 2000 11 910·851
 2000 12 880·874
 2001 01  20.867
 2001 02  890.896
 2001 03  960.902
 2001 04  850·908
 2001 05  870·894
 2001 06  810·874
 2001 07  880.875
 2001 08  40.876
 2001 09  520.909
 2001 10  520.920
 2001 11  300·918
 2001 12  410.930
 2002 01 190.909
 2002 02 590.921
 2002 03 110.924
 2002 04 140·938
 2002 05 420.907
 2002 06 840.907
 2002 07 430·908
 2002 08 670·903
 2002 09 930.917
 2002 10 320·924
 2002 11 650·953
 2002 12 690.945
 2003 01  750.954
 2003 02  370.963
 2003 03  380.936
 2003 04  160·939
 2003 05  120·958
 2003 06  540·931
 2003 07  520·962
 2003 08  240.946
 2003 09  550·939
 2003 10  660·972
 2003 11  180·961
 2003 12  400·963
 2004 01 800.986
 2004 02 780.981
 2004 03 750.980
 2004 04 320·990
 2004 05 850·970
 2004 06 231.029
 2004 07 861·005
 2004 08 941.020
 2004 09 981·013
 2004 10 571·019
 2004 11 381·008
 2004 12 450·998
 2005 01  681.019
 2005 02  611.017
 2005 03  451·010
 2005 04  301.026
 2005 05  711.006
 2005 06  430.997
 2005 07  440.980
 2005 08  170.986
 2005 09  70·985
 2005 10  340.979
 2005 11  980.988
 2005 12  10·983
 2006 01 10.984
 2006 02 910.977
 2006 03 950·977
 2006 04 01·001
 2006 05 51.001
 2006 06 950·974
 2006 07 490·978
 2006 08 600.981
 2006 09 920·995
 2006 10 531·013
 2006 11 961·045
 2006 12 491·048
 2007 01  651·044
 2007 02  961.068
 2007 03  01.061
 2007 04  611.087
 2007 05  471.075
 2007 06  821.058
 2007 07  481.057
 2007 08  161·049
 2007 09  901.070
 2007 10  911·084
 2007 11  551·073
 2007 12  571·104
 2008 01 691.108
 2008 02 311·140
 2008 03 561.163
 2008 04 541.177
 2008 05 841·209
 2008 06 331.230
 2008 07 161.237
 2008 08 01·210
 2008 09 611.210
 2008 10 541·233
 2008 11 221.281
 2008 12 161·273
 2009 01  501·216
 2009 02  761·274
 2009 03  871·309
 2009 04  451·294
 2009 05  261·340
 2009 06  41.277
 2009 07  501.314
 2009 08  561·286
 2009 09  901.272
 2009 10  711.318
 2009 11  721·309
 2009 12  431·318
 2010 01 671.268
 2010 02 341·285
 2010 03 421·305
 2010 04 261·296
 2010 05 81·303
 2010 06 731·358
 2010 07 721·291
 2010 08 491·335
 2010 09 881·318
 2010 10 961.381
 2010 11 21.397
 2010 12 801.390
 2011 01  71.395
 2011 02  341.411
 2011 03  921.443
 2011 04  141·408
 2011 05  911.445
 2011 06  451.527
 2011 07  321.557
 2011 08  711·514
 2011 09  901·498
 2011 10  91·464
 2011 11  341.434
 2011 12  941·449
 2012 01 801.435
 2012 02 321.440
 2012 03 371.398
 2012 04 521·441
 2012 05 611.444
 2012 06 481.352
 2012 07 21·393
 2012 08 391·402
 2012 09 581·366
 2012 10 131·442
 2012 11 181.407
 2012 12 761.427
 2013 01  211·422
 2013 02  71.391
 2013 03  991·417
 2013 04  51.436
 2013 05  271.368
 2013 06  381.438
 2013 07  801.403
 2013 08  961.384
 2013 09  761.433
 2013 10  381·345
 2013 11  271.379
 2013 12  431.357
 2014 01 921.355
 2014 02 621·384
 2014 03 251·346
 2014 04 651·401
 2014 05 271·376
 2014 06 931.399
 2014 07 901.403
 2014 08 71·363
 2014 09 551.410
 2014 10 381·373
 2014 11 571.393
 2014 12 371.435
 2015 01  771·433
 2015 02  271.449
 2015 03  911·451
 2015 04  501·435
 2015 05  191·450
 2015 06  181·415
 2015 07  781.424
 2015 08  651·381
 2015 09  311.413
 2015 10  931.420
 2015 11  331.416
 2015 12  251.421
 2016 01 881.404
 2016 02 571·397


 2016 03 921·393
 2016 04 11·368
 2016 05 901·363
 2016 06 421.311
 2016 07 191.334
 2016 08 861.311
 2016 09 641·328
 2016 10 61.332
 2016 11 21·377
 2016 12 991.382
 2017 01  591·361
 2017 02  301·377
 2017 03  531.352
 2017 04  851·369
 2017 05  501.342
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 Series Title: Average Price: South urban; Bread, white, pan, 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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