Link to Series in Level 1 Subscription Site
Link to Series in Level 2 Subscription Site
Link to Series in Level 0 Subscription Site
2012 04 2389.8
2012 03 3789·9
2012 02 7389.7
2012 01 7989.9
2011 12 2489.4
2011 11 8289·2
2011 10 2789·1
2011 09 6489.1
2011 08 7989.1
2011 07 1388·5
2011 06 7089·2
2011 05 3689.8
2011 04 3888.9
2011 03 1289·2
2011 02 1489.3
2011 01 3989·3
2010 12 7689·1
2010 11 8588·9
2010 10 9789·1
2010 09 4189.7
2010 08 9589.7
2010 07 6489.6
2010 06 8289.9
2010 05 3690·0
2010 04 1990.2
2010 03 690.1
2010 02 5789.9
2010 01 4489·6
2009 12 9889·3
2009 11 9289.7
2009 10 3690·3
2009 09 990·3
2009 08 990·6
2009 07 2890.4
2009 06 5490·5
2009 05 090·5
2009 04 5290·7
2009 03 4790·4
2009 02 7790.9
2009 01 1190·7
2008 12 5190.9
2008 11 590·9
2008 10 9191·0
2008 09 6291·3
2008 08 5891·4
2008 07 8491.5
2008 06 991·6
2008 05 9591.9
2008 04 4791.7
2008 03 9092·1
2008 02 7092·0
2008 01 8292.4
2007 12 2091.7
2007 11 5591·5
2007 10 3691·6
2007 09 1591.8
2007 08 191·9
2007 07 3692.2
2007 06 9592·3
2007 05 1492·2
2007 04 4192·4
2007 03 1493·0
2007 02 6092·8
2007 01 2392.8
2006 12 1691·9
2006 11 9691.5
2006 10 6991.6
2006 09 1191.4
2006 08 2590·8
2006 07 1491·5
2006 06 8491.4
2006 05 7291·7
2006 04 9491·7
2006 03 2492·6
2006 02 9592.3
2006 01 2691.7
2005 12 7491·4
2005 11 791.7
2005 10 1391.7
2005 09 1692·0
2005 08 3992·2
2005 07 7291·5
2005 06 7691.4
2005 05 1291·8
2005 04 9191.7
2005 03 4891·3
2005 02 4892·1
2005 01 891.6
2004 12 5491.9
2004 11 9391·7
2004 10 1591·8
2004 09 2392·0
2004 08 8092·4
2004 07 8992·1
2004 06 9291·6
2004 05 192.2
2004 04 4391·5
2004 03 4191·8
2004 02 1691.7
2004 01 1192·2
2003 12 4491.9
2003 11 8392·0
2003 10 5091·8
2003 09 4891·9
2003 08 891·8
2003 07 6992·1
2003 06 8292.2
2003 05 3091.7
2003 04 8592.1
2003 03 8391.5
2003 02 2491.9
2003 01 291·4
2002 12 5291.9
2002 11 3091.6
2002 10 1592.4
2002 09 3292·5
2002 08 892.6
2002 07 4392.1
2002 06 1892.2
2002 05 1692.6
2002 04 7892·9
2002 03 7793·1
2002 02 1992.7
2002 01 7292.6
2001 12 1492·7
2001 11 1592.1
2001 10 3392.5
2001 09 4492.5
2001 08 9192·5
2001 07 6392.3
2001 06 9792·4
2001 05 192.8
2001 04 892.9
2001 03 5393·1
2001 02 7493·8
2001 01 3893.5
2000 12 9293.5
2000 11 4293·0
2000 10 5292.5
2000 09 7392.8
2000 08 9293·6
2000 07 1193.4
2000 06 4493·6
2000 05 5293.5
2000 04 8593·5
2000 03 6693·7
2000 02 8893.9
2000 01 4293·7
1999 12 7092·4
1999 11 4093·3
1999 10 4693·2
1999 09 3893.5
1999 08 7393·5
1999 07 8893·6
1999 06 693.0
1999 05 6093.5
1999 04 4493.2
1999 03 9493.1
1999 02 8293.5
1999 01 5193·6
1998 12 5993·0
1998 11 6393.1
1998 10 1192·9
1998 09 8092·9
1998 08 1893.1
1998 07 2693.5
1998 06 5793.3
1998 05 4293·2
1998 04 4793.0
1998 03 4193.4
1998 02 693·4
1998 01 5693.4
1997 12 9593.2
1997 11 9093·0
1997 10 7293.0
1997 09 6693·1
1997 08 3993.6
1997 07 7893·0
1997 06 9393.0
1997 05 4192.5
1997 04 7892.7
1997 03 3892.7
1997 02 3292.8
1997 01 7593.1
1996 12 3993·3
1996 11 2693·4
1996 10 7693.5
1996 09 8893.2
1996 08 7093.4
1996 07 2493·2
1996 06 3993.0
1996 05 2293.1
1996 04 4992.7
1996 03 3992·8
1996 02 5993·3
1996 01 4993·1
1995 12 7492·8
1995 11 192.7
1995 10 9792·7
1995 09 6193·1
1995 08 7393·0
1995 07 6892.9
1995 06 4393.1
1995 05 7993·3
1995 04 9493·2
1995 03 2192.8
1995 02 993·1
1995 01 4593·3
1994 12 1493·3
1994 11 6893.4
1994 10 3292·9
1994 09 2992.5
1994 08 3292·3
1994 07 3991.9
1994 06 7791.8
1994 05 2692·3
1994 04 7592·3
1994 03 9192·3
1994 02 3092.8
1994 01 5593.0
1993 12 9293.8
1993 11 793·6
1993 10 593·4
1993 09 5993·2
1993 08 5993.4
1993 07 9193·4
1993 06 3993·7
1993 05 793.3
1993 04 7693.5
1993 03 7893·3
1993 02 9693.1
1993 01 9593.4
1992 12 6993.5
1992 11 2193·7
1992 10 6394.0
1992 09 4094·1
1992 08 8894.0
1992 07 593·8
1992 06 5394.1
1992 05 8894·1
1992 04 993.7
1992 03 3493.5
1992 02 493.5
1992 01 793.7
1991 12 3293·7
1991 11 4293.8
1991 10 7993.8
1991 09 9293.8
1991 08 8193·5
1991 07 8393·4
1991 06 6793·5
1991 05 6193·6
1991 04 993·8
1991 03 4193.6
1991 02 7893·8
1991 01 5993·6
1990 12 9093·9
1990 11 2194.0
1990 10 5393.8
1990 09 5593·8
1990 08 2494·0
1990 07 5693.9
1990 06 5393.8
1990 05 4394·1
1990 04 3694.3
1990 03 294.5
1990 02 6694.6
1990 01 4294.9
1989 12 7894.5
1989 11 4094·8
1989 10 694·3
1989 09 9694.6
1989 08 2594·2
1989 07 7894.4
1989 06 1094·3
1989 05 7594.2
1989 04 7794.6
1989 03 4694.5
1989 02 4094.4
1989 01 7294.6
1988 12 5994·4
1988 11 294.5
1988 10 8694.4
1988 09 794.3
1988 08 2294·1
1988 07 2794.2
1988 06 6093.8
1988 05 2494·0
1988 04 4194.5
1988 03 2894.2
1988 02 094.5
1988 01 9294·6
1987 12 1794.6
1987 11 3794.6
1987 10 6894.6
1987 09 594·3
1987 08 7494.4
1987 07 994·6
1987 06 5294·6
1987 05 8294.7
1987 04 6494·6
1987 03 2794·5
1987 02 6794.6
1987 01 6894·8
1986 12 6294·8
1986 11 9894.9
1986 10 4894.2
1986 09 3194.7
1986 08 6894·4
1986 07 5394·5
1986 06 6094·6
1986 05 6794.3
1986 04 794·6
1986 03 4894.7
1986 02 8994·7
1986 01 9294·9
1985 12 3094·6
1985 11 6694·7
1985 10 5094·7
1985 09 5395.0
1985 08 1394·6
1985 07 1294.6
1985 06 8094·5
1985 05 1894.6
1985 04 5595.0
1985 03 1994·5
1985 02 4194.8
1985 01 8294·8
1984 12 8394.4
1984 11 4494·3
1984 10 2294.6
1984 09 6294·4
1984 08 4694.7
1984 07 6794·7
1984 06 3694·2
1984 05 594·0
1984 04 1994·1
1984 03 9594.0
1984 02 2094.0
1984 01 7894.1
1983 12 494·2
1983 11 6194.3
1983 10 3794.0
1983 09 7694.4
1983 08 2694.3
1983 07 2194·2
1983 06 7694.5
1983 05 1794·5
1983 04 3594.2
1983 03 5694·0
1983 02 4893·8
1983 01 4793.7
1982 12 694.5
1982 11 7394·6
1982 10 9394.8
1982 09 3495.0
1982 08 4094.9
1982 07 494.8
1982 06 7394.9
1982 05 7395.0
1982 04 6295.0
1982 03 594.6
1982 02 7594·8
1982 01 8294.5
1981 12 2394.4
1981 11 5894.7
1981 10 1394.8
1981 09 694·8
1981 08 9894.8
1981 07 7094·7
1981 06 2594·9
1981 05 1395.3
1981 04 8795.1
1981 03 7295.2
1981 02 7394.8
1981 01 9994.9
1980 12 1694·7
1980 11 2195.0
1980 10 4595.1
1980 09 8295.6
1980 08 3595.1
1980 07 9895.3
1980 06 5595.2
1980 05 695·3
1980 04 1995.3
1980 03 1195·2
1980 02 3995.6
1980 01 4095.7
1979 12 7095·2
1979 11 9095.1
1979 10 6295.2
1979 09 7995·2
1979 08 1295·1
1979 07 9395.4
1979 06 1195·3
1979 05 4195·4
1979 04 9695.3
1979 03 195·4
1979 02 9895.7
1979 01 7195·5
1978 12 9795.5
1978 11 2195·2
1978 10 6394.8
1978 09 3995·2
1978 08 1595·1
1978 07 8495·2
1978 06 6695.1
1978 05 3795.3
1978 04 7695.4
1978 03 4795.4
1978 02 9895.3
1978 01 8595·2
1977 12 3195·2
1977 11 9295.2
1977 10 6995·3
1977 09 2895·1
1977 08 5495·4
1977 07 2595.4
1977 06 1995·5
1977 05 3595·2
1977 04 4695·4
1977 03 7895·4
1977 02 1095.2
1977 01 9994·9
1976 12 3395.0
1976 11 895.4
1976 10 3095.4
1976 09 4095·4
1976 08 6495.2
1976 07 9695.4
1976 06 9295·4
1976 05 195.5
1976 04 1695.3
1976 03 4995.0
1976 02 3494.8
1976 01 5394·8
1975 12 8994.8
1975 11 9895·2
1975 10 1895.5
1975 09 8995·3
1975 08 795·1
1975 07 195·4
1975 06 3395.4
1975 05 2995.5
1975 04 2295.4
1975 03 3895·2
1975 02 9294.9
1975 01 1595.4
1974 12 995.6
1974 11 1796·1
1974 10 3295·7
1974 09 1995·6
1974 08 6895.7
1974 07 6995.7
1974 06 1695·8
1974 05 3396·0
1974 04 2495.6
1974 03 5095.9
1974 02 3395.8
1974 01 7896·5
1973 12 2995.9
1973 11 4395.6
1973 10 9495.7
1973 09 9695·4
1973 08 5695.6
1973 07 5496·0
1973 06 3895·8
1973 05 5795·6
1973 04 895.6
1973 03 1595·7
1973 02 2995·7
1973 01 5695.5
1972 12 995·3
1972 11 8195·2
1972 10 5395.5
1972 09 1195·6
1972 08 995.7
1972 07 3695.7
1972 06 2395·8
1972 05 6795·6
1972 04 8495.7
1972 03 8596.0
1972 02 7895·7
1972 01 9395·6
1971 12 3595.5
1971 11 6195.9
1971 10 8195·8
1971 09 8295.9
1971 08 8696·0
1971 07 1996.4
1971 06 1896.0
1971 05 5596.0
1971 04 8995·9
1971 03 4295.9
1971 02 496.0
1971 01 5595·8
1970 12 1796.2
1970 11 3696.5
1970 10 7696·4
1970 09 5196.3
1970 08 7396.3
1970 07 3396.3
1970 06 9796.6
1970 05 3796.4
1970 04 8196·6
1970 03 8996·7
1970 02 5596·5
1970 01 3396.5
1969 12 9296·2
1969 11 8696.4
1969 10 6296·6
1969 09 8396.6
1969 08 8197.0
1969 07 3196·9
1969 06 5797.0
1969 05 5696·7
1969 04 4896·7
1969 03 5596·7
1969 02 396·9
1969 01 4696.9
1968 12 1996·8
1968 11 1596.6
1968 10 8796·7
1968 09 7296·8
1968 08 4497.0
1968 07 9397.0
1968 06 2297·2
1968 05 7897·0
1968 04 9997·0
1968 03 9597·0
1968 02 4796.9
1968 01 3497.0
1967 12 8497.2
1967 11 5397·2
1967 10 2497·2
1967 09 3396.7
1967 08 2497.2
1967 07 2397·5
1967 06 4097·3
1967 05 9597·4
1967 04 7097.6
1967 03 8897.3
1967 02 1097.2
1967 01 6497.4
1966 12 9897.4
1966 11 5497·1
1966 10 7097.2
1966 09 997·0
1966 08 797·0
1966 07 5197.3
1966 06 8497·2
1966 05 2497.4
1966 04 2297.8
1966 03 3897·4
1966 02 3997.2
1966 01 2897.3
1965 12 9697.0
1965 11 9697.2
1965 10 4997·0
1965 09 6697·3
1965 08 297·1
1965 07 3197·4
1965 06 5197.2
1965 05 698·6
1965 04 4197·4
1965 03 7597.3
1965 02 896·8
1965 01 4397.2
1964 12 3897.1
1964 11 8597·6
1964 10 997·4
1964 09 9697·3
1964 08 4597.6
1964 07 4297.6
1964 06 6597·3
1964 05 997.2
1964 04 3697.3
1964 03 5397.0
1964 02 1697.1
1964 01 5197·1
1963 12 1197·5
1963 11 5097.7
1963 10 2397.1
1963 09 1697·1
1963 08 9796.8
1963 07 8897.4
1963 06 7497.1
1963 05 2497.4
1963 04 4397·1
1963 03 5196·8
1963 02 8496.5
1963 01 1896.9
1962 12 2597.0
1962 11 4497.2
1962 10 8897.1
1962 09 6897·3
1962 08 4397·4
1962 07 9997·1
1962 06 5197.2
1962 05 6897.5
1962 04 2397·3
1962 03 7397·2
1962 02 6197.2
1962 01 3697·0
1961 12 1597.2
1961 11 4897·6
1961 10 2997·5
1961 09 1897·6
1961 08 9497.4
1961 07 2997.7
1961 06 9497.8
1961 05 8297.7
1961 04 6197.6
1961 03 5097·1
1961 02 2097.0
1961 01 2397.3
1960 12 4297.8
1960 11 6598·1
1960 10 9397·9
1960 09 5997.9
1960 08 8597·6
1960 07 5897.2
1960 06 2797.4
1960 05 3597.4
1960 04 6897·4
1960 03 3496·9
1960 02 5997·5
1960 01 1997.7
1959 12 9197·5
1959 11 2597.2
1959 10 5397.4
1959 09 797.5
1959 08 7897·2
1959 07 8997.4
1959 06 9697·1
1959 05 1697·4
1959 04 8097.6
1959 03 697·4
1959 02 197.2
1959 01 9297.0
1958 12 7397.2
1958 11 8397.2
1958 10 797.7
1958 09 497.7
1958 08 5797·7
1958 07 5297·3
1958 06 7597·2
1958 05 4497.3
1958 04 5797.1
1958 03 6996.5
1958 02 9496.1
1958 01 3496.7
1957 12 2496·5
1957 11 1796.8
1957 10 7896.7
1957 09 1696·8
1957 08 3396·9
1957 07 197.3
1957 06 6397.4
1957 05 6097·4
1957 04 8597.6
1957 03 5397.5
1957 02 1297·5
1957 01 6097·2
1956 12 497.2
1956 11 3197.1
1956 10 1496·8
1956 09 3697.0
1956 08 4297.2
1956 07 1597·3
1956 06 8197·2
1956 05 3197·0
1956 04 7397.8
1956 03 1397.7
1956 02 5297.6
1956 01 1497.9
1955 12 9897.6
1955 11 5697·4
1955 10 8997·7
1955 09 8097·5
1955 08 4397.4
1955 07 097·5
1955 06 7997·3
1955 05 4897·5
1955 04 5897.9
1955 03 2797.5
1955 02 3797·5
1955 01 6297.8
1954 12 1896.9
1954 11 4597·1
1954 10 9997·4
1954 09 9097.8
1954 08 2497.5
1954 07 8397·1
1954 06 3097·5
1954 05 2897.8
1954 04 197·6
1954 03 097·0
1954 02 1597·4
1954 01 9597.4
1953 12 9997·4
1953 11 7797.5
1953 10 7096.7
1953 09 3497·1
1953 08 9497·5
1953 07 2097.9
1953 06 3097.5
1953 05 1497·5
1953 04 8697·4
1953 03 6297.2
1953 02 6097·6
1953 01 3098.5
1952 12 097.9
1952 11 5897·3
1952 10 4797.0
1952 09 197·5
1952 08 8897·2
1952 07 9097.6
1952 06 597·2
1952 05 7297.5
1952 04 2497.7
1952 03 6597·9
1952 02 7097·8
1952 01 1097·4
1951 12 997.0
1951 11 1596·9
1951 10 697·2
1951 09 1196.9
1951 08 6896.9
1951 07 9796.7
1951 06 096.4
1951 05 9396·7
1951 04 5196.8
1951 03 9197.1
1951 02 6697.0
1951 01 197.1
1950 12 3596.0
1950 11 496·2
1950 10 4296·3
1950 09 396·7
1950 08 1995·8
1950 07 6996·3
1950 06 9095·9
1950 05 9596.0
1950 04 2895·5
1950 03 4295.2
1950 02 9995.4
1950 01 9495.2
1949 12 1495.6
1949 11 595.6
1949 10 8097·3
1949 09 4696·1
1949 08 5195·7
1949 07 6395.6
1949 06 7396·6
1949 05 1996.1
1949 04 4096.0
1949 03 4996·1
1949 02 4095·8
1949 01 895.6
1948 12 695·4
1948 11 2096.1
1948 10 6896.0
1948 09 3195·9
1948 08 095.7
1948 07 5696.4
1948 06 7195·6
1948 05 3395·6
1948 04 9796.1
1948 03 6695·9
1948 02 8796·2
1948 01 8296.1
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Charts
Unemployment Rate: US Unemployment Rate: Alternative Measures of Labor Underutilization
Unemployment Rate: Gender
Unemployment Rate: Black: Gender
Unemployment Rate: White: Gender
Unemployment Rate: Race
Unemployment Rate: Age: 16/25/35/45/55
Unemployment Rate: Education
Unemployment Rate: Nonagricultural Industry
Unemployment Rate: Job Category
Median Weeks Unemployed: Age
Median Weeks Unemployed: Race
The US Labor Force Dataset from the BLS contains nearly 15,000 series.
These series are subcategories of the popular series of:
Civilian Labor Force
(subcategories)
Employment Level
(subcategories)
Unemployment Level
(subcategories)
US Unemployment Rate
(subcategories)
Population
(subcategories)
Employment-Population Ratio
(subcategories)
Median Weeks Unemployed
(subcategories)
Percent Distribution
(subcategories)
Average Hours At Work
(subcategories)
Of Total Unemployed
(subcategories)
These basic measures are augmented by:
Population
Labor Force Participation Rate
Employment-Population Ratio
Not in Labor Force
Number at work
Average hours at work
Multiple jobholders
Average number of search methods used
Number At work part-time
These series can be subdivided by:
Sex:
Male
Female
Race and Ethnicity:
White
Black
Hispanic
Mexican
Puerto Rican
Cuban
Age:
16 years and over (default)
14_yrs._&_over
16-17_yrs.
16-19_yrs.
16-21_yrs.
16-24_yrs.
18-19_yrs.
20_yrs._&_over
20-24_yrs.
20-64_yrs.
25_yrs._&_over
25-29_yrs.
25-34_yrs.
25-54_yrs.
25-59_yrs.
30-34_yrs.
35-39_yrs.
35-44_yrs.
40-44_yrs.
45_yrs._&_over
45-49_yrs.
45-54_yrs.
50-54_yrs.
55_yrs._&_over
55-59_yrs.
55-64_yrs.
60-61_yrs.
60-64_yrs.
62-64_yrs.
65_yrs._&_over
65-69_yrs.
70_yrs._&_over
Class Of Worker:
Wage_And_Salary_Workers
Private_Wage_And_Salary_Workers
Government_Wage_And_Salary_Workers
Self-employed_Workers
Unpaid_Family_Workers
Industry:
Agriculture_Service
Furniture_And_Fixtures
Motor_Vehicles_&_Motor_Vehicle_Equipment
Aircraft
Tobacco
Eating_And_Drinking
Private_Households
Hospital
Postal
Federal
State
Local
Goods_Producing
Service_Producing
Agriculture_(Excludes_Forestry_And_Fisheries)
Forestry_And_Fisheries
Nonagricultural
Mining
Construction
Manufacturing
Manufacturing,_Durables
Lumber_And_Wood_Products,_Except_Furniture
Stone,_Clay,_And_Glass_Products
Primary_Metal
Fabricated_Metal
Machinery
Electrical_machinery,_equipment,_&_supplies
Transportation_Equipment
Professional_&_photographic_equipment_&_watches
Other_transportation_equipment
Fabricated_Metals
Manufacturing,_Nondurables
Food_And_Kindred_Products
Textile_Mill_Products
Apparel_And_Other_Fabricated_Textile_Products
Paper_And_Allied_Products
Printing,_Publishing,_And_Allied_Industries
Chemicals_And_Allied_Products
Petroleum_And_Coal_Products
Rubber_And_Miscellaneous_Plastic_Products
Leather_And_Leather_Products
Transportation,_Communication,_And_Other_Public_Utilities
Transportation
Transportation_Other_Than_Railroad_And_Railway_Express
Communications_And_Other_Public_Utilities
Communications
Trade
Wholesale_Trade
Retail_Trade
Service_Industries
Finance,_Insurance,_And_Real_Estate
Insurance_And_Real_Estate
Banking_And_Other_Financial_Organizations
Business_And_Repair_Services
Businesses
Repair_Services
Personal_Services
Entertainment_And_Recreation_Services
Professional_And_Related_Services
Medical
Educational_Services
Welfare_And_Religious_Services
Public_Administration
Occupation:
Managerial_&_professional_specialty_occupation
Executive,_administration,_&_managerial
Officials_&_administration,_public_administation
Management_Related_Occupations
Professional_Specialty_Occupations
Engineers
Math_&_Computer_Scientists
Natural_scientists
Health_Diagnosing_Occupations
Health_Assessment_&_Treating
Teachers,_college_&_university
Lawyers_&_Judges
Technical,_sales,_administration_support
Technicians_&_related_support_occupations
Health_technologists_&_technicians
Engineering_&_science_technicians
Technicians
Sales_Occupations
Supervisors_&_Proprietors
Sales_reps,_finance_&_business_services
Sales_reps,_commodities
Sales,_retail_&_personal
Sales_Related_Occupations
Administrative_support
Supervisors
Computer_Equipment_Operators
Secretaries,_stenographers,_&_typists
Financial_Records_Processing
Mail_&_Message_Distributing
Service_Occupation
Private_Household
Protective_Services
Food_Service
Health_Service
Cleaning_&_Building_Service
Personal_Service
Precision_Production,_Craft,_Repair
Mechanics_&_Repairers
Construction_Trades
Operators,_Fabricators,_Laborers
Machine_operators,_assemblers,_inspectors
Operators_&_tenders
Fabricators,_assemblers,_inspectors,_samplers
Transportation,_material_moving
Motor_vehicle_operators
Handlers,_equipment_cleaners,_helpers,_laborers
Construction_Laborers
Freight,_stock_material_handlers
Farming,_Forestry,_Fishing
Farm_Operators_&_Managers
Farm_workers_&_related_occupations
Forestry_&_fishing_occupations
Input your search text below.
or alter the examples after this blank template.
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Example 1: Get Unemployment Rates for people in Computer jobs |
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Example 2: Get Employment Data for Workers in the "Retail Trade" Industry |
|
Example 3: Get Population Level Data for Workers |
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