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| Series Title: Sawmills and planing mills, general, SIC = 2421: 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 |
1958 01 1781 Link to Series in Level 2 Subscription Site 1958 04 838.0 Link to Series in Level 1 Subscription Site 1958 07 1983 Link to Series in Level 0 Subscription Site 1958 10 578.6 1959 01 568.5 1959 02 7781 1959 03 818.2 1959 04 6082 1959 05 878.2 1959 06 9483 1959 07 688.3 1959 08 868.6 1959 09 608.3 1959 10 168.2 1959 11 958.0 1959 12 8181 1960 01 5082 1960 02 508.3 1960 03 988.1 1960 04 1283 1960 05 5785 1960 06 2783 1960 07 418.3 1960 08 7484 1960 09 884 1960 10 484 1960 11 1181 1960 12 8780 1961 01 518.0 1961 02 6378 1961 03 227.8 1961 04 948.0 1961 05 637.9 1961 06 108.0 1961 07 1180 1961 08 6478 1961 09 457.9 1961 10 7879 1961 11 417.9 1961 12 927.9 1962 01 217.7 1962 02 217.6 1962 03 07.7 1962 04 9778 1962 05 418.0 1962 06 238.1 1962 07 18.2 1962 08 2381 1962 09 8277 1962 10 907.8 1962 11 8279 1962 12 397.8 1963 01 4476 1963 02 5475 1963 03 57.7 1963 04 397.9 1963 05 517.9 1963 06 707.8 1963 07 607.6 1963 08 4380 1963 09 558.1 1963 10 2282 1963 11 5781 1963 12 9478 1964 01 3174 1964 02 1474 1964 03 367.4 1964 04 6176 1964 05 797.9 1964 06 8078 1964 07 607.8 1964 08 397.8 1964 09 2477 1964 10 767.7 1964 11 157.6 1964 12 487.6 1965 01 1874 1965 02 8372 1965 03 157.3 1965 04 3074 1965 05 3576 1965 06 879 1965 07 9976 1965 08 567.8 1965 09 7677 1965 10 837.6 1965 11 287.5 1965 12 1876 1966 01 6575 1966 02 637.5 1966 03 9177 1966 04 3875 1966 05 5576 1966 06 3279 1966 07 178 1966 08 5880 1966 09 198.2 1966 10 9681 1966 11 9581 1966 12 478.3 1967 01 598.5 1967 02 858.8 1967 03 368.9 1967 04 18.9 1967 05 9993 1967 06 5893 1967 07 1393 1967 08 389.3 1967 09 9091 1967 10 949.0 1967 11 388.9 1967 12 190 1968 01 89.0 1968 02 28.8 1968 03 4989 1968 04 629.0 1968 05 539.1 1968 06 1393 1968 07 99.4 1968 08 1293 1968 09 509.6 1968 10 839.4 1968 11 695 1968 12 729.3 1969 01 5088 1969 02 959.0 1969 03 5290 1969 04 8690 1969 05 289.3 1969 06 5498 1969 07 8793 1969 08 2396 1969 09 849.7 1969 10 9297 1969 11 719.6 1969 12 7795 1970 01 4493 1970 02 6691 1970 03 9490 1970 04 6789 1970 05 599.0 1970 06 589.1 1970 07 6990 1970 08 379.0 1970 09 38.6 1970 10 7486 1970 11 3287 1970 12 578.3 1971 01 7782 1971 02 468.2 1971 03 488.4 1971 04 208.2 1971 05 684 1971 06 3085 1971 07 484 1971 08 468.4 1971 09 418.4 1971 10 984 1971 11 128.3 1971 12 798.3 1972 01 5783 1972 02 8987 1972 03 1285 1972 04 888.4 1972 05 5583 1972 06 185 1972 07 658.6 1972 08 678.8 1972 09 608.5 1972 10 28.6 1972 11 5987 1972 12 3687 1973 01 228.7 1973 02 7385 1973 03 887 1973 04 388.8 1973 05 179.3 1973 06 229.4 1973 07 499.5 1973 08 42101 1973 09 4610.3 1973 10 81106 1973 11 45107 1973 12 43115 1974 01 3211.2 1974 02 411.2 1974 03 8511.5 1974 04 60110 1974 05 28113 1974 06 76116 1974 07 8011.6 1974 08 37114 1974 09 811.3 1974 10 1108 1974 11 7010.4 1974 12 4310.3 1975 01 729.9 1975 02 119.7 1975 03 169.9 1975 04 7210.1 1975 05 4799 1975 06 64103 1975 07 710.4 1975 08 4410.5 1975 09 8210.8 1975 10 41109 1975 11 55109 1975 12 2110 1976 01 5311.3 1976 02 4811.4 1976 03 9911.3 1976 04 16117 1976 05 6011.9 1976 06 1712.4 1976 07 112.9 1976 08 80132 1976 09 2913.3 1976 10 5131 1976 11 49137 1976 12 13140 1977 01 10139 1977 02 9414.1 1977 03 5714.4 1977 04 5914.4 1977 05 7914.6 1977 06 8914.9 1977 07 61149 1977 08 87144 1977 09 35144 1977 10 2414.2 1977 11 26140 1977 12 92140 1978 01 413.9 1978 02 53135 1978 03 38141 1978 04 9214.3 1978 05 3714.7 1978 06 6015.1 1978 07 1014.9 1978 08 32152 1978 09 915.2 1978 10 50152 1978 11 82152 1978 12 80154 1979 01 2115.2 1979 02 56153 1979 03 15156 1979 04 3215.7 1979 05 97160 1979 06 33164 1979 07 97164 1979 08 516.7 1979 09 88168 1979 10 6416.6 1979 11 4115.9 1979 12 4515.8 1980 01 70157 1980 02 55159 1980 03 8615.8 1980 04 21150 1980 05 43141 1980 06 3814.3 1980 07 93144 1980 08 2514.5 1980 09 32145 1980 10 70143 1980 11 52143 1980 12 79143 1981 01 8814.1 1981 02 31139 1981 03 7413.9 1981 04 2513.7 1981 05 86140 1981 06 3014.2 1981 07 9814.2 1981 08 33140 1981 09 2713.6 1981 10 9613.0 1981 11 87124 1981 12 98119 1982 01 35116 1982 02 8811.4 1982 03 2811.2 1982 04 3711.2 1982 05 62112 1982 06 86114 1982 07 3411.4 1982 08 9611.3 1982 09 83117 1982 10 9811.6 1982 11 4411.4 1982 12 4411.4 1983 01 9711.4 1983 02 55114 1983 03 19116 1983 04 7411.7 1983 05 31121 1983 06 13124 1983 07 49125 1983 08 6126 1983 09 3512.7 1983 10 5412.5 1983 11 46124 1983 12 83122 1984 01 84121 1984 02 86121 1984 03 4712.3 1984 04 76125 1984 05 79127 1984 06 3913.0 1984 07 1712.8 1984 08 7813.1 1984 09 45129 1984 10 7012.6 1984 11 42125 1984 12 912.7 1985 01 32126 1985 02 6112.5 1985 03 3512.6 1985 04 12123 1985 05 1612.7 1985 06 1813.0 1985 07 3513.0 1985 08 5612.9 1985 09 97128 1985 10 7312.5 1985 11 4124 1985 12 3612.4 1986 01 1123 1986 02 83121 1986 03 3012.2 1986 04 7212.8 1986 05 77127 1986 06 30129 1986 07 26124 1986 08 612.9 1986 09 3129 1986 10 1912.7 1986 11 30128 1986 12 812.9 1987 01 7612.6 1987 02 8312.6 1987 03 512.8 1987 04 7312.7 1987 05 24129 1987 06 78135 1987 07 39136 1987 08 1913.5 1987 09 97135 1987 10 87135 1987 11 4413.4 1987 12 9113.7 1988 01 7013.4 1988 02 1513.7 1988 03 59138 1988 04 5814.0 1988 05 42142 1988 06 9414.1 1988 07 4614.2 1988 08 14141 1988 09 4114.2 1988 10 8014.0 1988 11 94140 1988 12 77140 1989 01 16140 1989 02 57138 1989 03 1413.8 1989 04 9313.7 1989 05 42139 1989 06 2914.1 1989 07 46140 1989 08 3014.0 1989 09 20140 1989 10 30138 1989 11 52138 1989 12 83140 1990 01 7513.9 1990 02 14138 1990 03 19138 1990 04 70140 1990 05 58141 1990 06 6514.5 1990 07 6114.4 1990 08 3614.1 1990 09 4413.9 1990 10 88136 1990 11 16133 1990 12 49135 1991 01 3413.1 1991 02 16129 1991 03 4712.9 1991 04 512.9 1991 05 52130 1991 06 513.3 1991 07 40132 1991 08 2213.0 1991 09 49129 1991 10 36129 1991 11 1112.7 1991 12 4412.8 1992 01 2125 1992 02 16125 1992 03 95123 1992 04 4112.4 1992 05 912.5 1992 06 78126 1992 07 56128 1992 08 612.9 1992 09 96127 1992 10 7712.6 1992 11 8312.6 1992 12 5912.8 1993 01 15125 1993 02 9512.5 1993 03 8712.6 1993 04 4412.7 1993 05 39126 1993 06 39130 1993 07 713.0 1993 08 30131 1993 09 70130 1993 10 40130 1993 11 5130 1993 12 1113.2 1994 01 33132 1994 02 56136 1994 03 7113.6 1994 04 7135 1994 05 7913.4 1994 06 67138 1994 07 15138 1994 08 60138 1994 09 8213.9 1994 10 81138 1994 11 77138 1994 12 42138 1995 01 4313.7 1995 02 28128 1995 03 1912.9 1995 04 4513.0 1995 05 8813.0 1995 06 6613.3 1995 07 29133 1995 08 89133 1995 09 6713.2 1995 10 7713.2 1995 11 2113.2 1995 12 1713.3 1996 01 55130 1996 02 66132 1996 03 3113.1 1996 04 0132 1996 05 5313.1 1996 06 66134 1996 07 2313.4 1996 08 32136 1996 09 86135 1996 10 3413.5 1996 11 84136 1996 12 3013.6 1997 01 4135 1997 02 5013.4 1997 03 2813.4 1997 04 4113.5 1997 05 8313.9 1997 06 2213.9 1997 07 9313.7 1997 08 32138 1997 09 2413.4 1997 10 8013.6 1997 11 4013.5 1997 12 9713.4 1998 01 51137
1998 02 43137 1998 03 3013.7 1998 04 8013.9 1998 05 29139 1998 06 6514.2 1998 07 3814.0 1998 08 99139 1998 09 6713.8 1998 10 13139 1998 11 8214.0 1998 12 22141 1999 01 5713.8 1999 02 7213.8 1999 03 2713.8 1999 04 95137 1999 05 2913.5 1999 06 52138 1999 07 6414.5 1999 08 8913.9 1999 09 3614.0 1999 10 86141 1999 11 10139 1999 12 4140 2000 01 5714.0 2000 02 3613.9 2000 03 6138 2000 04 6113.7 2000 05 9413.7 2000 06 86139 2000 07 17138 2000 08 6137 2000 09 77137 2000 10 46135 2000 11 3513.5 2000 12 13133 2001 01 5913.1 2001 02 5012.9 2001 03 75129 2001 04 79128 2001 05 18129 2001 06 58131 2001 07 80133 2001 08 25131 2001 09 59130 2001 10 5513.1 2001 11 1312.9 2001 12 0128 2002 01 9130 2002 02 5012.8 2002 03 6812.6 2002 04 76124 2002 05 22124 2002 06 8012.8 2002 07 59128 2002 08 49128 2002 09 7612.6 2002 10 2125 2002 11 28124 2002 12 42122 2003 01 7612.0 2003 02 2120
| Series Title: Sawmills and planing mills, general, SIC = 2421: 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 |
A 20,000% Gain in Real Estate
by Kevin Kingston.
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