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| Series Title: Millwork, plywood, and structural members, SIC = 243: Employment of Women (thousands), NSA |
| For this series: Numerical Data | Source | Forecast | GIF Chart | PDF Chart | Excel file | Self-updating Excel file |
| Transform this series | Display series in COPY/PASTE format | Reverse this series |
1972 01 5826•1 Link to Series in Level 2 Subscription Site 1972 02 026•2 Link to Series in Level 1 Subscription Site 1972 03 3426•6 Link to Series in Level 0 Subscription Site 1972 04 6926.8 1972 05 3927.4 1972 06 7928.0 1972 07 2528•4 1972 08 4529.3 1972 09 8729.5 1972 10 5630•6 1972 11 1730.8 1972 12 2031•2 1973 01 5231•2 1973 02 1431.6 1973 03 2332.2 1973 04 3734•2 1973 05 835.1 1973 06 5835.7 1973 07 8135•6 1973 08 6736.6 1973 09 5836•0 1973 10 2136•3 1973 11 5336•2 1973 12 234.9 1974 01 2534.8 1974 02 5934•5 1974 03 2734•9 1974 04 6335.9 1974 05 6036.4 1974 06 5336•4 1974 07 1735•8 1974 08 9335.2 1974 09 3934.0 1974 10 1131•6 1974 11 6028.6 1974 12 6128.4 1975 01 6226•9 1975 02 6426.5 1975 03 2027•2 1975 04 6228•0 1975 05 5528.3 1975 06 6829.4 1975 07 8329.5 1975 08 1530.9 1975 09 6730.9 1975 10 630.8 1975 11 6430•1 1975 12 6429•5 1976 01 7531•1 1976 02 8331•2 1976 03 9931•6 1976 04 7832•5 1976 05 7833.3 1976 06 3234.1 1976 07 5234•5 1976 08 5135•5 1976 09 335•4 1976 10 935.1 1976 11 1034•9 1976 12 334.2 1977 01 9834•4 1977 02 9634•5 1977 03 8735.4 1977 04 7736.8 1977 05 4138.2 1977 06 038•9 1977 07 2039•2 1977 08 4239•9 1977 09 3141.1 1977 10 5142•1 1977 11 7342.3 1977 12 9442.5 1978 01 9341•8 1978 02 741.6 1978 03 3341.8 1978 04 5042.6 1978 05 7843.7 1978 06 5045.3 1978 07 1245•0 1978 08 5545.4 1978 09 6246•1 1978 10 8546•2 1978 11 5046•9 1978 12 7947.0 1979 01 4546.2 1979 02 4646•0 1979 03 947.2 1979 04 1547.8 1979 05 5148.7 1979 06 8749•0 1979 07 7648.4 1979 08 8248•8 1979 09 3249•6 1979 10 9150•0 1979 11 6548•2 1979 12 2547.0 1980 01 6345•8 1980 02 6546.5 1980 03 1346•1 1980 04 1342•7 1980 05 4540•1 1980 06 4038•8 1980 07 8438.4 1980 08 4041.1 1980 09 242.1 1980 10 7341•5 1980 11 6542.0 1980 12 2441•2 1981 01 8541.6 1981 02 4641•7 1981 03 6941•7 1981 04 1143•0 1981 05 7044•2 1981 06 6443.6 1981 07 3543•4 1981 08 6943•1 1981 09 5742•3 1981 10 6140.5 1981 11 2438.7 1981 12 9337•6 1982 01 7036.7 1982 02 9136.1 1982 03 2535•8 1982 04 136•5 1982 05 6237•6 1982 06 3837•8 1982 07 5137.4 1982 08 3837•4 1982 09 737.3 1982 10 836.6 1982 11 3936•5 1982 12 7336.6 1983 01 536•4 1983 02 3137•1 1983 03 5337.9 1983 04 039.3 1983 05 8240•7 1983 06 6642•0 1983 07 8142•4 1983 08 3843.3 1983 09 8843•5 1983 10 9443•3 1983 11 3543.6 1983 12 3143.8 1984 01 9943•9 1984 02 2043.9 1984 03 5244.7 1984 04 4945.8 1984 05 1446•5 1984 06 7847•5 1984 07 9747•3 1984 08 8647•8 1984 09 6047•4 1984 10 2347•1 1984 11 5746•5 1984 12 6046•6 1985 01 8746.5 1985 02 3746.2 1985 03 4546.9 1985 04 1647.6 1985 05 7148.5 1985 06 2750•4 1985 07 9950.3 1985 08 2351•4 1985 09 1050.8 1985 10 2449•8 1985 11 8149.7 1985 12 7549•1 1986 01 3248.9 1986 02 8649•4 1986 03 8050•3 1986 04 9151•0 1986 05 8652•8 1986 06 9354•6 1986 07 854.9 1986 08 1655.2 1986 09 4854•6 1986 10 5354•6 1986 11 354•3 1986 12 1854.1 1987 01 1853.9 1987 02 9754.4 1987 03 2955.4 1987 04 9356.8 1987 05 2158•3 1987 06 8160•0 1987 07 7360.4 1987 08 5860•7 1987 09 960.3 1987 10 8859•6 1987 11 4858•6 1987 12 5858•6 1988 01 5558.1 1988 02 2357•0 1988 03 9157•4 1988 04 6258.2 1988 05 6259.3 1988 06 2061•3 1988 07 6761•0 1988 08 6461.1 1988 09 5359•9 1988 10 3358•8 1988 11 6258•8 1988 12 8458•1 1989 01 8057.0 1989 02 4556.7 1989 03 8957.1 1989 04 6557.6 1989 05 1857.9 1989 06 6358•9 1989 07 8858•0 1989 08 7758•1 1989 09 6756•9 1989 10 1856.9 1989 11 1956•3 1989 12 1456•0 1990 01 5355•4 1990 02 6654.7 1990 03 7255•5 1990 04 9556•0 1990 05 2556.6 1990 06 9057.6 1990 07 5857•2 1990 08 6456•4 1990 09 6155•4 1990 10 9754•0 1990 11 1752.6 1990 12 9051.9 1991 01 5950•7 1991 02 1648•2 1991 03 1148•0 1991 04 6848.8 1991 05 4550•3
1991 06 5051.5 1991 07 8551•5 1991 08 9251.5 1991 09 6150.8 1991 10 5749.8 1991 11 2949•5 1991 12 5649•3 1992 01 848•6 1992 02 3448•8 1992 03 7949•1 1992 04 1950•1 1992 05 2851.3 1992 06 6852•2 1992 07 152•3 1992 08 2652•4 1992 09 5052•4 1992 10 6852•1 1992 11 8652.2 1992 12 5252.0 1993 01 2751.5 1993 02 6951.6 1993 03 4952•0 1993 04 9252•1 1993 05 3752•3 1993 06 2953.2 1993 07 3353•4 1993 08 7053.7 1993 09 8553.6 1993 10 3653•7 1993 11 253.8 1993 12 3254.0 1994 01 9953•7 1994 02 9753.7 1994 03 4953.7 1994 04 5155•2 1994 05 3256.2 1994 06 4758•2 1994 07 8858•4 1994 08 2359•3 1994 09 6358•8 1994 10 4859•7 1994 11 6159•6 1994 12 7259•3 1995 01 9559.1 1995 02 8258.4 1995 03 3558.4 1995 04 4558•9 1995 05 5759•5 1995 06 6159.8 1995 07 9959.3 1995 08 1359•4 1995 09 358.8 1995 10 1859.2 1995 11 7059•3 1995 12 7459.1 1996 01 1058•4 1996 02 1458.2 1996 03 9058•7 1996 04 5160.1 1996 05 8361•9 1996 06 3363.9 1996 07 2363.5 1996 08 9063•8 1996 09 5063.7 1996 10 8563.8 1996 11 6263•3 1996 12 6462•9 1997 01 6462•1 1997 02 662.0 1997 03 2162.4 1997 04 7163.4 1997 05 464•6 1997 06 5365.6 1997 07 4365•8 1997 08 3166.0 1997 09 7465.4 1997 10 1466.0 1997 11 9366.3 1997 12 9366.4 1998 01 265•7 1998 02 9665.9 1998 03 6166.5 1998 04 2967•1 1998 05 4168.0 1998 06 3569.8 1998 07 6570.0 1998 08 3770•3 1998 09 7070•1 1998 10 9170•2 1998 11 4670•2 1998 12 3770.2 1999 01 9270.0 1999 02 4869.9 1999 03 6870.4 1999 04 7971•3 1999 05 3772.6 1999 06 1774•5 1999 07 2375.5 1999 08 3374•9 1999 09 5874•3 1999 10 3174.8 1999 11 2875.9 1999 12 9875.5 2000 01 3275.4 2000 02 5275•4 2000 03 2375.4 2000 04 9575.8 2000 05 6476.2 2000 06 6378.1 2000 07 7478.1 2000 08 7278.5 2000 09 8277•0 2000 10 7476.4 2000 11 7376.3 2000 12 176.2 2001 01 4074•1 2001 02 2073•4 2001 03 3473•9 2001 04 7974.0 2001 05 1674.8 2001 06 6176.4 2001 07 077.2 2001 08 2976•3 2001 09 1376•7 2001 10 8175.4 2001 11 3675•1 2001 12 9774.9 2002 01 6174.4 2002 02 9173.5 2002 03 3474•2 2002 04 5775.4 2002 05 1276•6 2002 06 2577.2 2002 07 977.5 2002 08 578•1 2002 09 4677.5 2002 10 4377•0 2002 11 277.4 2002 12 6476•8 2003 01 6576.0 2003 02 2976.0
| Series Title: Millwork, plywood, and structural members, SIC = 243: Employment of Women (thousands), 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 |
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