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 Series Title: Transportation and warehousing: Indexes of Aggregate Weekly Payrolls, 2002=100, 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  |  Reverse this series  |  Data set page

 1972 01 6322•5          Link to Series in Level 2 Subscription Site
 1972 02 4622•8          Link to Series in Level 1 Subscription Site
 1972 03 4823•3          Link to Series in Level 0 Subscription Site
 1972 04 7123•3
 1972 05 4323•8
 1972 06 9124.7
 1972 07 4724•7
 1972 08 7224.9
 1972 09 825•1
 1972 10 5325.4
 1972 11 6625•6
 1972 12 9025.9
 1973 01  825•0
 1973 02  1325.4
 1973 03  1725.5
 1973 04  7025.9
 1973 05  1926.4
 1973 06  8026.9
 1973 07  3827•0
 1973 08  8127.6
 1973 09  4227•7
 1973 10  8327.8
 1973 11  9327.8
 1973 12  1627.6
 1974 01 127.1
 1974 02 8027.2
 1974 03 6927.1
 1974 04 9527.6
 1974 05 4728.3
 1974 06 5229•0
 1974 07 7929•4
 1974 08 6329.3
 1974 09 5629.4
 1974 10 729.7
 1974 11 6228•9
 1974 12 8729•1
 1975 01  2727•7
 1975 02  7527•1
 1975 03  7927•0
 1975 04  6327.0
 1975 05  8727.4
 1975 06  1428.3
 1975 07  1828•6
 1975 08  1029.0
 1975 09  8529•4
 1975 10  529.6
 1975 11  9429.5
 1975 12  7129.6
 1976 01 9728•9
 1976 02 5429•4
 1976 03 4329.5
 1976 04 1630.2
 1976 05 2430•6
 1976 06 9331.8
 1976 07 2932•0
 1976 08 3932.1
 1976 09 9132•5
 1976 10 8032•0
 1976 11 3932.4
 1976 12 6033.1
 1977 01  4731.4
 1977 02  9532•3
 1977 03  8632.3
 1977 04  2133.3
 1977 05  6934.0
 1977 06  4535.1
 1977 07  835.3
 1977 08  9335•5
 1977 09  5736•2
 1977 10  6235•8
 1977 11  6836•1
 1977 12  6936.8
 1978 01 3734.9
 1978 02 236•2
 1978 03 5436.6
 1978 04 6937.5
 1978 05 5838•0
 1978 06 4839•0
 1978 07 7938•0
 1978 08 3738•6
 1978 09 9639•0
 1978 10 540•0
 1978 11 8140•1
 1978 12 4141•1
 1979 01  5239.2
 1979 02  640•3
 1979 03  2240.5
 1979 04  7738•1
 1979 05  5141.1
 1979 06  643.0
 1979 07  9143.6
 1979 08  6343.8
 1979 09  4344•1
 1979 10  8944.5
 1979 11  045•1
 1979 12  4445.2
 1980 01 443•0
 1980 02 5942•9
 1980 03 8843•3
 1980 04 8844.0
 1980 05 3343.8
 1980 06 5044.2
 1980 07 1644•5
 1980 08 8944.8
 1980 09 5845•7
 1980 10 1746•3
 1980 11 7446•2
 1980 12 6747.2
 1981 01  2744•9
 1981 02  4345.5
 1981 03  7345.3
 1981 04  6746•2
 1981 05  1646.6
 1981 06  3347.9
 1981 07  5247•8
 1981 08  5647•5
 1981 09  2647.6
 1981 10  2047•3
 1981 11  7447.6
 1981 12  3047•6
 1982 01 8244.4
 1982 02 6045.7
 1982 03 2745.3
 1982 04 745.2
 1982 05 3446.2
 1982 06 3546.8
 1982 07 2346.4
 1982 08 3146•6
 1982 09 5846.2
 1982 10 5146•0
 1982 11 146•0
 1982 12 7246.5
 1983 01  5543•7
 1983 02  4043•8
 1983 03  2244.4
 1983 04  2445.2
 1983 05  4946.1
 1983 06  5947•1
 1983 07  7647•5
 1983 08  547•7
 1983 09  9148•9
 1983 10  9049.1
 1983 11  7548.4
 1983 12  6149•6
 1984 01 5648•1
 1984 02 3848•1
 1984 03 5748•6
 1984 04 6050•0
 1984 05 4550•3
 1984 06 3652•1
 1984 07 8552.2
 1984 08 9652•0
 1984 09 8453•4
 1984 10 4152•2
 1984 11 4652.3
 1984 12 8953.4
 1985 01  2150.4
 1985 02  3351.0
 1985 03  5451•2
 1985 04  8351•6
 1985 05  3452•4
 1985 06  2053•8
 1985 07  4752•9
 1985 08  4653.2
 1985 09  2254.4
 1985 10  3354•2
 1985 11  8753•9
 1985 12  7355•4
 1986 01 1152•1
 1986 02 2952•4
 1986 03 6252•6
 1986 04 8352.2
 1986 05 5152.6
 1986 06 8954.1
 1986 07 8553•4
 1986 08 2054.2
 1986 09 1754•9
 1986 10 2055.0
 1986 11 9556.0
 1986 12 5456.6
 1987 01  1053•6
 1987 02  5555.1
 1987 03  5355.3
 1987 04  7855.9
 1987 05  5657•0
 1987 06  4857•9
 1987 07  4857•9
 1987 08  1158.9
 1987 09  459.1
 1987 10  8360•2
 1987 11  9360.5
 1987 12  9961•1
 1988 01 3055.3
 1988 02 6555.7
 1988 03 2655•0
 1988 04 957.3
 1988 05 3557.8
 1988 06 2759.0
 1988 07 958.9
 1988 08 3658•9
 1988 09 4460.4
 1988 10 2561.1
 1988 11 3161.1
 1988 12 063.0
 1989 01  760•1
 1989 02  4060.5
 1989 03  360.1
 1989 04  4361.7
 1989 05  9961.6
 1989 06  7962•4
 1989 07  6662•2
 1989 08  3762.4
 1989 09  2164.0
 1989 10  7564.9
 1989 11  8064•7
 1989 12  7365.6
 1990 01 9961•6
 1990 02 8363•8
 1990 03 3464•4
 1990 04 7365.9
 1990 05 8366.0
 1990 06 8567•3
 1990 07 4166•9
 1990 08 7966•4
 1990 09 4868.0
 1990 10 8867.2
 1990 11 3867.7
 1990 12 6269.8
 1991 01  9464.6
 1991 02  2364.5
 1991 03  9064.2
 1991 04  1465•0
 1991 05  4765•7
 1991 06  4866.9
 1991 07  8366•0
 1991 08  5666.2
 1991 09  5868•0
 1991 10  4366•4
 1991 11  3065.8
 1991 12  3167•4
 1992 01 163.3
 1992 02 1565•0
 1992 03 7064•0
 1992 04 964•9
 1992 05 7866.4
 1992 06 9766.9
 1992 07 6466•9
 1992 08 8468.0
 1992 09 1368•9
 1992 10 4468•9
 1992 11 270•2
 1992 12 7470.5
 1993 01  5768.1
 1993 02  3968•7
 1993 03  9668.7
 1993 04  2469•3
 1993 05  8571•2
 1993 06  8771•2
 1993 07  8471•5
 1993 08  471.7
 1993 09  9872.5
 1993 10  2173.5
 1993 11  2973•7
 1993 12  775.5
 1994 01 2172•4
 1994 02 9772•8
 1994 03 1873•7
 1994 04 5273.6
 1994 05 576.5
 1994 06 9876.6
 1994 07 6576.4
 1994 08 8376.8
 1994 09 2478•5
 1994 10 2879.3
 1994 11 779•8
 1994 12 7180•2
 1995 01  8076•6
 1995 02  2177•2
 1995 03  777.2
 1995 04  878.8
 1995 05  9878•4
 1995 06  3380.3
 1995 07  5479.9
 1995 08  1479•7
 1995 09  2781.9
 1995 10  4583.0
 1995 11  6083•0
 1995 12  3483.4
 1996 01 4477.9
 1996 02 6480•8
 1996 03 6381•7
 1996 04 3581•5
 1996 05 4882•6
 1996 06 2185.5
 1996 07 2684•0
 1996 08 1385•1
 1996 09 6686•9
 1996 10 7485.7
 1996 11 3686.9
 1996 12 8787•4
 1997 01  4882.9
 1997 02  485•0
 1997 03  885•3
 1997 04  085•5
 1997 05  6886.8
 1997 06  1888•3
 1997 07  7787•2
 1997 08  2286.4

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 1997 09  1092.4
 1997 10  9792•2
 1997 11  3493.9
 1997 12  4793•4
 1998 01 6688.2
 1998 02 1390.3
 1998 03 1689.6
 1998 04 5189•7
 1998 05 391•5
 1998 06 5492•1
 1998 07 291•9
 1998 08 9593•3
 1998 09 9893.2
 1998 10 8193•9
 1998 11 3395•1
 1998 12 195.0
 1999 01  5690•2
 1999 02  7891.7
 1999 03  7591•6
 1999 04  1792•4
 1999 05  494•1
 1999 06  5596•1
 1999 07  1894.9
 1999 08  1497•2
 1999 09  9797•2
 1999 10  4797.9
 1999 11  8099•1
 1999 12  90101.6
 2000 01 1396.4
 2000 02 1397.0
 2000 03 197•7
 2000 04 68100.4
 2000 05 5599•4
 2000 06 39100•9
 2000 07 46101.0
 2000 08 94101•2
 2000 09 52102•7
 2000 10 33104•3
 2000 11 8103•7
 2000 12 41104•8
 2001 01  5799•2
 2001 02  3298.6
 2001 03  199•6
 2001 04  5100•8
 2001 05  49100.9
 2001 06  94101•2
 2001 07  68100.1
 2001 08  11100.2
 2001 09  32100•0
 2001 10  499.1
 2001 11  7498.7
 2001 12  3100.8
 2002 01 3395.5
 2002 02 7295•7
 2002 03 997.3
 2002 04 5698•1
 2002 05 799.6
 2002 06 33101•9
 2002 07 9199•2
 2002 08 66100.4
 2002 09 32102.4
 2002 10 47101•9
 2002 11 60103.0
 2002 12 55104•9
 2003 01  1298•6
 2003 02  98100•0
 2003 03  82100.2
 2003 04  7099•0
 2003 05  74100•5
 2003 06  97102•7
 2003 07  48101.1
 2003 08  85101.5
 2003 09  73104.1
 2003 10  77104•2
 2003 11  75106•0
 2003 12  96104.1
 2004 01 87101•2
 2004 02 99104.2
 2004 03 2102.4
 2004 04 25103•2
 2004 05 19106.9
 2004 06 47106.8
 2004 07 97106•8
 2004 08 20108.4
 2004 09 99109•1
 2004 10 32110•5
 2004 11 49110.7
 2004 12 53111•5
 2005 01  79109.1
 2005 02  87107•1
 2005 03  76108.2
 2005 04  21109.4
 2005 05  38111.7
 2005 06  74111•6
 2005 07  18111.5
 2005 08  47111•5
 2005 09  80113.3
 2005 10  75114•7
 2005 11  42115•0
 2005 12  77114•8
 2006 01 33111.8
 2006 02 2110•8
 2006 03 38113.1
 2006 04 85115•7
 2006 05 50116•0
 2006 06 90119.2
 2006 07 21120•9
 2006 08 66120•3
 2006 09 11122•4
 2006 10 97123•4
 2006 11 35123•1
 2006 12 45123.3
 2007 01  18119•0
 2007 02  8118•0
 2007 03  43119.1
 2007 04  67120•1
 2007 05  1120.5
 2007 06  34123.5
 2007 07  38123.4
 2007 08  5123.4
 2007 09  12126•8
 2007 10  9125.0
 2007 11  35126•4
 2007 12  57130.0
 2008 01 30121.9
 2008 02 93122•3
 2008 03 76125•2
 2008 04 44125•1
 2008 05 59126.3
 2008 06 70128•9
 2008 07 25126.0
 2008 08 14126.6
 2008 09 27127.9
 2008 10 51127•3

 Series Title: Transportation and warehousing: Indexes of Aggregate Weekly Payrolls, 2002=100, 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  |  More series like this one

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

In Association with Amazon.com     A 20,000% Gain in Real Estate by Kevin Kingston.


 Subscriber Login  |  Subscription Info  |  Turn Advanced Features On  |  Change Defaults  |  Disclaimer
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