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| Series Title: PPI: Other meats, fresh, frozen, or canned; 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 | Data set page |
1960 01 7932.1 Link to Series in Level 2 Subscription Site 1960 02 5932.9 Link to Series in Level 1 Subscription Site 1960 03 1433.7 Link to Series in Level 0 Subscription Site 1960 04 1434.3 1960 05 57346 1960 06 3834.9 1960 07 5835.5 1960 08 4635.7 1960 09 1334.1 1960 10 2735.7 1960 11 1534.9 1960 12 8933.7 1961 01 99340 1961 02 935.2 1961 03 9834.2 1961 04 8734.3 1961 05 9033.7 1961 06 9133.9 1961 07 46340 1961 08 9340 1961 09 85349 1961 10 334.3 1961 11 2033.7 1961 12 50336 1962 01 11336 1962 02 233.6 1962 03 1033.3 1962 04 29328 1962 05 17329 1962 06 7133.0 1962 07 2833.6 1962 08 9034.1 1962 09 8035.8 1962 10 1634.0 1962 11 1133.8 1962 12 2330 1963 01 032.6 1963 02 68325 1963 03 23319 1963 04 58310 1963 05 1308 1963 06 8431.7 1963 07 5132.0 1963 08 79319 1963 09 3531.9 1963 10 46317 1963 11 931.2 1963 12 930.7 1964 01 76306 1964 02 6131.0 1964 03 3430.8 1964 04 1630.8 1964 05 2630.8 1964 06 5931.0 1964 07 90312 1964 08 9531.2 1964 09 931.7 1964 10 98312 1964 11 63310 1964 12 65310 1965 01 7631.0 1965 02 60316 1965 03 68317 1965 04 6931.7 1965 05 2334 1965 06 5036.6 1965 07 41379 1965 08 78389 1965 09 8937.6 1965 10 1372 1965 11 4638.3 1965 12 8540.5 1966 01 6041.2 1966 02 6942.3 1966 03 7141.7 1966 04 10412 1966 05 6639.7 1966 06 3639.5 1966 07 2839.5 1966 08 96395 1966 09 8439.9 1966 10 8396 1966 11 56384 1966 12 12379 1967 01 1337.6 1967 02 18375 1967 03 1737.0 1967 04 54366 1967 05 7836.6 1967 06 21383 1967 07 9938.3 1967 08 3938.9 1967 09 30385 1967 10 037.6 1967 11 16372 1967 12 1336.8 1968 01 4536.4 1968 02 6137.3 1968 03 437.5 1968 04 4437.9 1968 05 2338.4 1968 06 35384 1968 07 28395 1968 08 2639.5 1968 09 89398 1968 10 80397 1968 11 74391 1968 12 7939.2 1969 01 93392 1969 02 7740.0 1969 03 55401 1969 04 47409 1969 05 1242.8 1969 06 32454 1969 07 11465 1969 08 9847.5 1969 09 45469 1969 10 7846.5 1969 11 3466 1969 12 2747.0 1970 01 1846.3 1970 02 71481 1970 03 1948.5 1970 04 5447.8 1970 05 80471 1970 06 92461 1970 07 72458 1970 08 21441 1970 09 944.1 1970 10 48437 1970 11 142.3 1970 12 99415 1971 01 3408 1971 02 7242.0 1971 03 67427 1971 04 8242.5 1971 05 89430 1971 06 18428 1971 07 60431 1971 08 88428 1971 09 16427 1971 10 7043.0 1971 11 91430 1971 12 62433 1972 01 61441 1972 02 3447.4 1972 03 99470 1972 04 73464 1972 05 2347.0 1972 06 4147.7 1972 07 46490 1972 08 1550.0 1972 09 2850.3 1972 10 4749.9 1972 11 2149.0 1972 12 850.0 1973 01 26513 1973 02 36541 1973 03 37621 1973 04 9461.8 1973 05 9360.7 1973 06 13616 1973 07 3061.9 1973 08 44816 1973 09 29738 1973 10 1068.6 1973 11 65670 1973 12 52660 1974 01 60662 1974 02 8366.9 1974 03 29617 1974 04 3758.8 1974 05 35544 1974 06 1551.1 1974 07 35581 1974 08 42588 1974 09 3058.6 1974 10 1259.9 1974 11 2061.5 1974 12 3861.0 1975 01 4760.3 1975 02 560.9 1975 03 48607 1975 04 18622 1975 05 966.0 1975 06 5169.6 1975 07 7725 1975 08 171.8 1975 09 68724 1975 10 3276.1 1975 11 1072.9 1975 12 31697 1976 01 98681 1976 02 55660 1976 03 93675 1976 04 7967.9 1976 05 1700 1976 06 5068.8 1976 07 21683 1976 08 37653 1976 09 1639 1976 10 76615 1976 11 8159.5 1976 12 25609 1977 01 4960.8 1977 02 12628 1977 03 8761.9 1977 04 87617 1977 05 21648 1977 06 67654 1977 07 7565.9 1977 08 9266.0 1977 09 1666.4 1977 10 71652 1977 11 9676 1977 12 3469.1 1978 01 61714 1978 02 82761 1978 03 7676.6 1978 04 3377.7 1978 05 580.3 1978 06 80812 1978 07 9179.9 1978 08 33801 1978 09 2480.6 1978 10 73842 1978 11 8982.0 1978 12 2832 1979 01 18852 1979 02 93875 1979 03 3689.3 1979 04 36880 1979 05 13905 1979 06 9587.5 1979 07 17862 1979 08 5280.9 1979 09 5983.0 1979 10 61830 1979 11 4780.6 1979 12 9683.4 1980 01 3284.5 1980 02 9983.0 1980 03 62833 1980 04 35791 1980 05 31767 1980 06 39754 1980 07 2783.6 1980 08 6690.4 1980 09 83929 1980 10 3995.5 1980 11 2896.0 1980 12 695.7 1981 01 3893.1 1981 02 80918 1981 03 8091.1 1981 04 9989.3 1981 05 7091.3 1981 06 69930 1981 07 19954 1981 08 1699.2 1981 09 8197.9 1981 10 37970 1981 11 895.7 1981 12 49952 1982 01 96945 1982 02 4195.2 1982 03 36949 1982 04 19962 1982 05 651012 1982 06 621048 1982 07 15103.4 1982 08 691032 1982 09 63104.6 1982 10 8103.0 1982 11 83101.2 1982 12 68978 1983 01 92977 1983 02 1099.1 1983 03 498.5 1983 04 11964 1983 05 7695.5 1983 06 24944 1983 07 64934 1983 08 1792.3 1983 09 6693.2 1983 10 3291.6 1983 11 7789.8 1983 12 3089.6 1984 01 37930 1984 02 4194.1 1984 03 81940 1984 04 18948 1984 05 9094.7 1984 06 83942 1984 07 3994.8 1984 08 77963 1984 09 49962 1984 10 14942 1984 11 38933 1984 12 25936 1985 01 6694.4 1985 02 1595.4 1985 03 91955 1985 04 794.5 1985 05 16940 1985 06 94937 1985 07 3793.7 1985 08 9194.0 1985 09 9992.7 1985 10 82920 1985 11 38935 1985 12 7293.9 1986 01 40941 1986 02 3594.4 1986 03 8393.5 1986 04 68927 1986 05 90931 1986 06 36936 1986 07 8397.7 1986 08 2599.8 1986 09 251019 1986 10 91101.9 1986 11 771026 1986 12 11103.7 1987 01 44103.0 1987 02 31102.8 1987 03 28101.8 1987 04 20102.1 1987 05 73103.5 1987 06 141042 1987 07 23105.5 1987 08 711054 1987 09 63105.5 1987 10 20105.6 1987 11 76104.1 1987 12 9103.4 1988 01 891024 1988 02 571022 1988 03 251013 1988 04 3101.3 1988 05 51101.5 1988 06 561028 1988 07 311023 1988 08 461014 1988 09 75100.9 1988 10 741007 1988 11 84100.5 1988 12 591001 1989 01 101011 1989 02 921017 1989 03 97101.9 1989 04 841022 1989 05 33102.0 1989 06 171029 1989 07 6103.9 1989 08 92105.0 1989 09 441058 1989 10 81105.5 1989 11 751058
A 20,000% Gain in Real Estate
by Kevin Kingston.
1989 12 581062 1990 01 511081 1990 02 10108.3 1990 03 55108.6 1990 04 281104 1990 05 57113.2 1990 06 421151 1990 07 721160 1990 08 62116.9 1990 09 201167 1990 10 331161 1990 11 821159 1990 12 811154 1991 01 44114.9 1991 02 671148 1991 03 511149 1991 04 33115.2 1991 05 571154 1991 06 551155 1991 07 711154 1991 08 91114.5 1991 09 121137 1991 10 311137 1991 11 571112 1991 12 501099 1992 01 891091 1992 02 55108.7 1992 03 50109.2 1992 04 351096 1992 05 91110.1 1992 06 12110.1 1992 07 17109.1 1992 08 911088 1992 09 461091 1992 10 111089 1992 11 491082 1992 12 921087 1993 01 81094 1993 02 87109.8 1993 03 611105 1993 04 341112 1993 05 55111.3 1993 06 11115 1993 07 94111.6 1993 08 40111.1 1993 09 911102 1993 10 36109.7 1993 11 151095 1993 12 57108.9 1994 01 44109.4 1994 02 2109.6 1994 03 141103 1994 04 57109.9 1994 05 68109.5 1994 06 351086 1994 07 81078 1994 08 37108.4 1994 09 42108.1 1994 10 941078 1994 11 371071 1994 12 211072 1995 01 681068 1995 02 641071 1995 03 681073 1995 04 541063 1995 05 76105.6 1995 06 55105.3 1995 07 911063 1995 08 101065 1995 09 19106.9 1995 10 01072 1995 11 23107.2 1995 12 861072 1996 01 76108.0 1996 02 61107.1 1996 03 5107.1 1996 04 31070 1996 05 49107.8 1996 06 22109.4 1996 07 21112 1996 08 101112 1996 09 681111 1996 10 921122 1996 11 6112.2 1996 12 781124 1997 01 86112.1 1997 02 7111.9 1997 03 321126 1997 04 41134 1997 05 81114.0 1997 06 26113.1 1997 07 231135 1997 08 12114.4 1997 09 571136 1997 10 341121 1997 11 421103 1997 12 481107 1998 01 43110.6 1998 02 41110.3 1998 03 83109.4 1998 04 841095 1998 05 921096 1998 06 81109.6 1998 07 601100 1998 08 181093 1998 09 831076 1998 10 14106.8 1998 11 151066 1998 12 721059 1999 01 19106.9 1999 02 251077 1999 03 141082 1999 04 931082 1999 05 28109.2 1999 06 25111.4 1999 07 47110.5 1999 08 54110.4 1999 09 64111.0 1999 10 46111.1 1999 11 31111.3 1999 12 51111.7 2000 01 61127 2000 02 50113.0 2000 03 71138 2000 04 8114.6 2000 05 58116.0 2000 06 21116.6 2000 07 411164 2000 08 711162 2000 09 461149 2000 10 69114.1 2000 11 23114.7 2000 12 121140 2001 01 27115.2 2001 02 29116.2 2001 03 701169 2001 04 30119.3 2001 05 76121.4 2001 06 601211 2001 07 24121.2 2001 08 451210 2001 09 991210 2001 10 47120.8 2001 11 49119.8 2001 12 6119.6 2002 01 241168 2002 02 0116.2 2002 03 37117.0 2002 04 851170 2002 05 4115.9 2002 06 53114.5 2002 07 3115.8 2002 08 781168 2002 09 18115.0 2002 10 671146 2002 11 90114.4 2002 12 9115.0 2003 01 69115.6 2003 02 26116.5 2003 03 63117.9 2003 04 241203 2003 05 86120.4 2003 06 41122.5 2003 07 121227 2003 08 96123.5 2003 09 22124.2 2003 10 441272 2003 11 551259 2003 12 22126.5 2004 01 56120.5 2004 02 981193 2004 03 311208 2004 04 241222 2004 05 921233 2004 06 861241 2004 07 8125.9 2004 08 501266 2004 09 57127.2 2004 10 17128.0 2004 11 75128.2 2004 12 711288 2005 01 6128.3 2005 02 281292 2005 03 501289 2005 04 86129.5 2005 05 16130.6 2005 06 77130.0 2005 07 72129.6 2005 08 151299 2005 09 92129.3 2005 10 491303 2005 11 9129.6 2005 12 8129.1 2006 01 621287 2006 02 541281 2006 03 501285 2006 04 35128.7 2006 05 79128.9 2006 06 281297 2006 07 131308 2006 08 941309 2006 09 231313 2006 10 291309 2006 11 38130.0 2006 12 8127.8 2007 01 951281 2007 02 421284 2007 03 90128.8 2007 04 23129.3 2007 05 26131.6 2007 06 77132.5 2007 07 621306 2007 08 121321 2007 09 681308 2007 10 70130.3 2007 11 70129.9 2007 12 73129.5 2008 01 11286 2008 02 79128.5 2008 03 53129.7 2008 04 271307 2008 05 26132.2 2008 06 891326 2008 07 781369 2008 08 211414
| Series Title: PPI: Other meats, fresh, frozen, or canned; 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 |
A 20,000% Gain in Real Estate
by Kevin Kingston.
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