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| Series Title: Metal household furniture, SIC = 2514: Employment of Production Workers (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 3128•3 Link to Series in Level 2 Subscription Site 1972 02 9529•4 Link to Series in Level 1 Subscription Site 1972 03 2130.1 Link to Series in Level 0 Subscription Site 1972 04 8030.0 1972 05 6829.4 1972 06 8328•9 1972 07 2426.6 1972 08 2127•6 1972 09 8426•7 1972 10 8229•2 1972 11 4030.1 1972 12 7330•3 1973 01 2931.2 1973 02 7331.5 1973 03 8332.1 1973 04 8131•2 1973 05 7931.0 1973 06 6430.4 1973 07 9028.4 1973 08 1229.2 1973 09 3428.6 1973 10 8529.5 1973 11 2430.0 1973 12 6330.0 1974 01 1930•1 1974 02 9529•9 1974 03 7330•2 1974 04 5130.2 1974 05 8529.7 1974 06 7328.6 1974 07 5025.6 1974 08 2126•9 1974 09 827.2 1974 10 2727•1 1974 11 9325•3 1974 12 4223.9 1975 01 8621•6 1975 02 8819•7 1975 03 6420•1 1975 04 820.0 1975 05 4720•1 1975 06 1419.7 1975 07 5218•9 1975 08 3920.1 1975 09 4021•3 1975 10 8521•4 1975 11 6922.3 1975 12 7822•3 1976 01 4123•0 1976 02 924.0 1976 03 5424.6 1976 04 9424.5 1976 05 5025•1 1976 06 1723.0 1976 07 6821•3 1976 08 8220.6 1976 09 9322.4 1976 10 6522.6 1976 11 123.0 1976 12 6123•3 1977 01 1923•9 1977 02 3625•5 1977 03 6526.5 1977 04 7526•8 1977 05 526.2 1977 06 3624•7 1977 07 9822.6 1977 08 9422.8 1977 09 5023.6 1977 10 9624•5 1977 11 6225•4 1977 12 1025.5 1978 01 8126.2 1978 02 7327•6 1978 03 4728.6 1978 04 4428•1 1978 05 4727•0 1978 06 5025.1 1978 07 6323•6 1978 08 3923.6 1978 09 2425.0 1978 10 3225•7 1978 11 5026•7 1978 12 6527•1 1979 01 1227•2 1979 02 5028•2 1979 03 7127•9 1979 04 1626•3 1979 05 3625•5 1979 06 6324.8 1979 07 1323.9 1979 08 1123.9 1979 09 4825•0 1979 10 5125•0 1979 11 8826.4 1979 12 9426.7 1980 01 2327.7 1980 02 2227•1 1980 03 3626.9 1980 04 3526.8 1980 05 6024•3 1980 06 521.3 1980 07 1919.6 1980 08 2620.2 1980 09 8521•3 1980 10 6022.3 1980 11 2424•1 1980 12 8925.5 1981 01 4926•0 1981 02 6626•6 1981 03 6625.9 1981 04 6526.5 1981 05 2726•4 1981 06 3125.5 1981 07 8023•8 1981 08 2622•8 1981 09 1923.5 1981 10 8623•5 1981 11 3123.6 1981 12 6523.3 1982 01 5122.8 1982 02 8822•8 1982 03 722.5 1982 04 122.2 1982 05 7320•7 1982 06 1920.0 1982 07 2017.0 1982 08 7817•1 1982 09 6118.3 1982 10 8419.6 1982 11 820.1 1982 12 6521.0 1983 01 1521•2 1983 02 1722•3 1983 03 3422.8 1983 04 5722•8 1983 05 6021.5 1983 06 7321•2 1983 07 8519•5 1983 08 7318.9 1983 09 4719.5 1983 10 3420.8 1983 11 7622.4 1983 12 5622.9 1984 01 5124.0 1984 02 724•9 1984 03 4325•1 1984 04 7625.0 1984 05 7224.2 1984 06 2322•9 1984 07 5019.4 1984 08 2818•5 1984 09 3619.2 1984 10 4021•0 1984 11 8523•4 1984 12 2924•8 1985 01 9424.9 1985 02 3824•7 1985 03 5924.3 1985 04 2523•6 1985 05 2022.2 1985 06 2421•5 1985 07 1219•4 1985 08 8518.5 1985 09 1618.5 1985 10 3019.2 1985 11 620•7 1985 12 222.2 1986 01 622•4 1986 02 1323.3 1986 03 3023.0 1986 04 9622•8 1986 05 4022.4 1986 06 5421.0 1986 07 9518•3 1986 08 1118.1 1986 09 9519.6 1986 10 6020.8 1986 11 4021•3 1986 12 1621•7 1987 01 7122•1 1987 02 6322.8 1987 03 2722.8 1987 04 522.9 1987 05 9222.3 1987 06 1821.7 1987 07 4519.0 1987 08 9818•2 1987 09 1019.1 1987 10 921.8 1987 11 722•8 1987 12 3823•7 1988 01 024•3 1988 02 4124•3 1988 03 5024•1 1988 04 9423.8 1988 05 6223.2 1988 06 4621.1 1988 07 3819•0 1988 08 6218•1 1988 09 2219.5 1988 10 8021.5 1988 11 5722•9 1988 12 5923•0 1989 01 3023•6 1989 02 2624.2 1989 03 2224.4 1989 04 3023•5 1989 05 6121•8 1989 06 9019.8 1989 07 6918.0 1989 08 4517.2 1989 09 1517.8 1989 10 418.9 1989 11 6220.2 1989 12 9720.9 1990 01 1921.2 1990 02 2421•7 1990 03 8921.7 1990 04 521.3 1990 05 2320.2 1990 06 3219.3 1990 07 6317•1 1990 08 1416•3 1990 09 117•4 1990 10 3418.4 1990 11 2118.1 1990 12 9318•6 1991 01 5518•6 1991 02 6318.4 1991 03 2718•2 1991 04 3618.2 1991 05 918.1 1991 06 7417•1 1991 07 6815•9 1991 08 6114.9 1991 09 1515.7 1991 10 5017•0 1991 11 5717•6 1991 12 1417.6 1992 01 4717•8 1992 02 9717•4 1992 03 3217•6 1992 04 6317•6 1992 05 517.3 1992 06 4716.8 1992 07 5614•6
1992 08 8815•4 1992 09 5316.2 1992 10 3117.0 1992 11 9517.5 1992 12 6417.4 1993 01 6717.2 1993 02 2917.4 1993 03 9317.5 1993 04 5018.1 1993 05 818•3 1993 06 8217.5 1993 07 415.3 1993 08 6614•8 1993 09 8116•6 1993 10 7418.2 1993 11 9518•6 1993 12 6019.1 1994 01 1318.9 1994 02 1418.5 1994 03 5719.1 1994 04 519•2 1994 05 5819•2 1994 06 3718.5 1994 07 517.4 1994 08 9816.6 1994 09 9418•1 1994 10 419•3 1994 11 8119.9 1994 12 6020•3 1995 01 2620•6 1995 02 9920.6 1995 03 5120.5 1995 04 4020.3 1995 05 8219.4 1995 06 3217.3 1995 07 514•7 1995 08 915.0 1995 09 1416•0 1995 10 3717•1 1995 11 6018.1 1995 12 6518•4 1996 01 218.3 1996 02 7518•8 1996 03 5718•6 1996 04 3118.9 1996 05 5018•5 1996 06 3017.0 1996 07 6214•5 1996 08 5214.1 1996 09 8515•4 1996 10 1116.2 1996 11 6617•0 1996 12 217•3 1997 01 6117•5 1997 02 5418•2 1997 03 8417•5 1997 04 7817.1 1997 05 5716•9 1997 06 1915•9 1997 07 5813•2 1997 08 313.7 1997 09 7615•0 1997 10 8915.0 1997 11 5415.5 1997 12 2216.8 1998 01 4717.3 1998 02 7617•8 1998 03 6318•2 1998 04 917.8 1998 05 2317.6 1998 06 1315•9 1998 07 113•7 1998 08 6113•1 1998 09 8313.5 1998 10 6114•7 1998 11 915.0 1998 12 116•1 1999 01 3016.3 1999 02 316•8 1999 03 5316.7 1999 04 7417•1 1999 05 9317•3 1999 06 5116.6 1999 07 2315•3 1999 08 5514•4 1999 09 2514.3 1999 10 3915•2 1999 11 3716.0 1999 12 3916•3 2000 01 516.6 2000 02 2616.9 2000 03 3516•9 2000 04 5017.4 2000 05 3717•5 2000 06 9716•7 2000 07 8215•6 2000 08 3415.4 2000 09 4815•7 2000 10 6216.0 2000 11 7116•5 2000 12 6416•5 2001 01 9316•1 2001 02 5616.0 2001 03 1616.1 2001 04 3715•5 2001 05 5014•6 2001 06 3914•4 2001 07 6012.9 2001 08 7613•1 2001 09 2212.9 2001 10 9512.4 2001 11 6712•9 2001 12 2713.2 2002 01 3813.2 2002 02 3413•5 2002 03 3013•9 2002 04 6214.4 2002 05 5114.2 2002 06 9113.5 2002 07 6412.1 2002 08 8011•4 2002 09 4011.2 2002 10 2511•7 2002 11 1012•1 2002 12 312•3 2003 01 912•4 2003 02 2212•4 2003 03 3412•1
| Series Title: Metal household furniture, SIC = 2514: Employment of Production Workers (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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