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 6265.3
2012 03 7365.5
2012 02 1665·6
2012 01 2465·5
2011 12 5565·6
2011 11 7065.6
2011 10 3165·7
2011 09 3065.8
2011 08 3965.8
2011 07 9065.8
2011 06 7265·9
2011 05 5966·1
2011 04 6565·9
2011 03 1565.9
2011 02 5165·9
2011 01 5765·9
2010 12 866·1
2010 11 5266·2
2010 10 866.2
2010 09 9166·4
2010 08 6966·5
2010 07 3366.4
2010 06 466.6
2010 05 5766.8
2010 04 7266.9
2010 03 1366·7
2010 02 2766·6
2010 01 7266·7
2009 12 6966.4
2009 11 7566.7
2009 10 9166·8
2009 09 8266.8
2009 08 3467·1
2009 07 2567·1
2009 06 3367.3
2009 05 5667·3
2009 04 6867.1
2009 03 9667.1
2009 02 1667·2
2009 01 8767.3
2008 12 9767.3
2008 11 4367.4
2008 10 2867.4
2008 09 9567·3
2008 08 7167.5
2008 07 4867·4
2008 06 8367.4
2008 05 2467.3
2008 04 6567.3
2008 03 1867.5
2008 02 1767.4
2008 01 4367·5
2007 12 8067.4
2007 11 8467·3
2007 10 9367.1
2007 09 4667·2
2007 08 4067·3
2007 07 467·4
2007 06 067·3
2007 05 5367.3
2007 04 9867·2
2007 03 5967·4
2007 02 5167.4
2007 01 767·5
2006 12 2667·4
2006 11 5567.4
2006 10 8367·3
2006 09 7867.3
2006 08 2867.2
2006 07 2467.3
2006 06 6067.2
2006 05 5967.2
2006 04 2667·2
2006 03 2267.2
2006 02 6867.2
2006 01 7167.1
2005 12 7367.1
2005 11 3267.0
2005 10 2267.1
2005 09 5667·2
2005 08 4367.2
2005 07 6067·1
2005 06 5867.0
2005 05 8567·1
2005 04 3767.1
2005 03 3866.8
2005 02 4167·0
2005 01 5166·8
2004 12 8066.8
2004 11 2266·9
2004 10 5766.8
2004 09 7366·9
2004 08 2267·0
2004 07 9467.0
2004 06 2067·0
2004 05 9666.9
2004 04 4066.8
2004 03 6167·0
2004 02 6767·0
2004 01 8967.0
2003 12 3267·0
2003 11 5367.1
2003 10 6267.1
2003 09 4667·0
2003 08 2667.1
2003 07 2967·1
2003 06 9167·4
2003 05 8667.2
2003 04 7067·3
2003 03 6967.2
2003 02 7067.2
2003 01 5267·2
2002 12 4167.0
2002 11 8067·0
2002 10 3467.2
2002 09 1667·3
2002 08 3967.2
2002 07 9467·1
2002 06 4767·2
2002 05 6967.4
2002 04 9067.4
2002 03 6767·2
2002 02 9767·4
2002 01 3367.2
2001 12 4267·3
2001 11 8267·2
2001 10 9667·2
2001 09 5067.2
2001 08 7367·2
2001 07 4467.2
2001 06 8467·1
2001 05 9067·3
2001 04 8367·3
2001 03 8567·5
2001 02 2267·4
2001 01 4767·5
2000 12 9667·3
2000 11 6267.1
2000 10 9867.0
2000 09 4067.1
2000 08 6467.2
2000 07 5767.2
2000 06 2567·3
2000 05 1367.3
2000 04 6167.5
2000 03 7767.5
2000 02 4267·6
2000 01 3667·6
1999 12 8867·4
1999 11 5267·4
1999 10 1167.3
1999 09 367·3
1999 08 7067·4
1999 07 3967·3
1999 06 2067·5
1999 05 3267.3
1999 04 5967.4
1999 03 2167·3
1999 02 8167.5
1999 01 6867.7
1998 12 2867·5
1998 11 467·4
1998 10 3467.4
1998 09 8067·4
1998 08 7967·2
1998 07 1967·3
1998 06 4067·2
1998 05 6267·2
1998 04 3767.3
1998 03 2367.3
1998 02 8767.3
1998 01 3467.3
1997 12 5267.5
1997 11 9867.4
1997 10 8967·4
1997 09 3967·5
1997 08 167.7
1997 07 5067.5
1997 06 8467.4
1997 05 4667.4
1997 04 8267.4
1997 03 1167·4
1997 02 3367.2
1997 01 5067·3
1996 12 2267·3
1996 11 3867·3
1996 10 2667·2
1996 09 7067.1
1996 08 7067.2
1996 07 1267·2
1996 06 7467·0
1996 05 5067·0
1996 04 366.8
1996 03 4166.8
1996 02 1766·8
1996 01 6066·6
1995 12 2166.6
1995 11 5466·8
1995 10 1666.8
1995 09 9266·8
1995 08 4966·6
1995 07 1066·7
1995 06 6066.5
1995 05 6766.7
1995 04 3766.9
1995 03 9066·7
1995 02 6266·8
1995 01 2866.8
1994 12 6166·8
1994 11 066.9
1994 10 5866.8
1994 09 4566.8
1994 08 2266·6
1994 07 7366·4
1994 06 1466·3
1994 05 1266·6
1994 04 4466·5
1994 03 6466.5
1994 02 1566.6
1994 01 4866.7
1993 12 7866·6
1993 11 5666·5
1993 10 7666.5
1993 09 9766·3
1993 08 9966.5
1993 07 5566.4
1993 06 3366.6
1993 05 2966·3
1993 04 966.2
1993 03 9266.2
1993 02 5166·1
1993 01 3666.1
1992 12 3166·3
1992 11 2566·4
1992 10 1666.4
1992 09 4066.5
1992 08 1766.6
1992 07 3466.7
1992 06 4266·8
1992 05 8366·7
1992 04 4266.6
1992 03 2866.5
1992 02 6666.3
1992 01 3466·3
1991 12 766.1
1991 11 3666.2
1991 10 5266.2
1991 09 8966.3
1991 08 3666·1
1991 07 1766·2
1991 06 8866.3
1991 05 6666.2
1991 04 8166.5
1991 03 5166.3
1991 02 8566.3
1991 01 966·1
1990 12 1666·3
1990 11 4566.3
1990 10 8366.3
1990 09 8766·3
1990 08 4266·4
1990 07 3166.3
1990 06 4466.2
1990 05 9566.4
1990 04 8466·3
1990 03 6666.4
1990 02 5566.5
1990 01 5266.6
1989 12 9366.3
1989 11 3166·2
1989 10 3166·0
1989 09 166·0
1989 08 4465·9
1989 07 3265.9
1989 06 865·9
1989 05 1365·9
1989 04 3866.0
1989 03 265·9
1989 02 4965·9
1989 01 8066.1
1988 12 065.7
1988 11 9765.8
1988 10 4365.5
1988 09 2365·4
1988 08 8065.5
1988 07 9865.3
1988 06 365·2
1988 05 8565·2
1988 04 5365.3
1988 03 1365·2
1988 02 6665·2
1988 01 3565·2
1987 12 2165·2
1987 11 7365.2
1987 10 9565.2
1987 09 6865.0
1987 08 865·0
1987 07 3465.0
1987 06 7865.0
1987 05 365·0
1987 04 6564.8
1987 03 7964·8
1987 02 2764·7
1987 01 8464.7
1986 12 6764.6
1986 11 1364·7
1986 10 8264.6
1986 09 8064.6
1986 08 1564.6
1986 07 6964.7
1986 06 464·6
1986 05 8664.3
1986 04 3464.3
1986 03 464·3
1986 02 8264.1
1986 01 1964·3
1985 12 7464.1
1985 11 9864.1
1985 10 2964·1
1985 09 2564·1
1985 08 1163.9
1985 07 5863·8
1985 06 8263.9
1985 05 7363·8
1985 04 4664·0
1985 03 1664·1
1985 02 463.8
1985 01 5663·7
1984 12 363·7
1984 11 3063·6
1984 10 8363.6
1984 09 9563·5
1984 08 3263.7
1984 07 7963.7
1984 06 3263·5
1984 05 3263·7
1984 04 1163.4
1984 03 7263·3
1984 02 9063.4
1984 01 3863.1
1983 12 3863.4
1983 11 3963.4
1983 10 1863·3
1983 09 563.5
1983 08 3963·3
1983 07 3763.2
1983 06 563.3
1983 05 5563·1
1983 04 6463·0
1983 03 4963·0
1983 02 6363.0
1983 01 3063·0
1982 12 9063·2
1982 11 8063.2
1982 10 3163·2
1982 09 063.3
1982 08 1663·2
1982 07 6263·3
1982 06 7163.3
1982 05 5863.3
1982 04 6863·0
1982 03 5263·0
1982 02 7262·9
1982 01 2562·7
1981 12 9662.7
1981 11 3162·9
1981 10 4662·8
1981 09 4462.4
1981 08 7562·7
1981 07 762.8
1981 06 3162.9
1981 05 8463·2
1981 04 663·0
1981 03 1063·0
1981 02 8962·7
1981 01 4062·6
1980 12 1462.4
1980 11 9862.5
1980 10 1062·5
1980 09 3062·5
1980 08 5062·6
1980 07 5262·5
1980 06 562.5
1980 05 9962.5
1980 04 9062·6
1980 03 7862·5
1980 02 1362·7
1980 01 1662.7
1979 12 3262·5
1979 11 962.3
1979 10 9762.4
1979 09 7562.4
1979 08 462.3
1979 07 162·2
1979 06 4462.0
1979 05 9561·9
1979 04 5461.9
1979 03 3562·2
1979 02 6762·3
1979 01 2062.1
1978 12 6062·1
1978 11 1962·0
1978 10 561.8
1978 09 2061.8
1978 08 2061.5
1978 07 8461.7
1978 06 1961·7
1978 05 8961·6
1978 04 6161·6
1978 03 8661·5
1978 02 9961.4
1978 01 4561.4
1977 12 3261.3
1977 11 761·4
1977 10 5661.2
1977 09 3361.0
1977 08 1060.8
1977 07 5460.9
1977 06 2960·9
1977 05 2261.0
1977 04 9460·9
1977 03 5860·8
1977 02 8160.6
1977 01 660·5
1976 12 1060·7
1976 11 7760.6
1976 10 9960.6
1976 09 460.7
1976 08 960.6
1976 07 9160.6
1976 06 9760·5
1976 05 6160.3
1976 04 6560.3
1976 03 860·2
1976 02 1260·2
1976 01 4660·3
1975 12 8060·0
1975 11 5960.2
1975 10 760·4
1975 09 5260.3
1975 08 7860·3
1975 07 060·4
1975 06 7060.3
1975 05 9960.4
1975 04 960·3
1975 03 1460.1
1975 02 1559·9
1975 01 3160.2
1974 12 5160·1
1974 11 760·1
1974 10 7860.1
1974 09 1760·2
1974 08 260.2
1974 07 1060·4
1974 06 2360.2
1974 05 5260.1
1974 04 8860.1
1974 03 8060.2
1974 02 3760·3
1974 01 5360.3
1973 12 5960.1
1973 11 9960·1
1973 10 3560.0
1973 09 6760·0
1973 08 9159·9
1973 07 7460·0
1973 06 5260·0
1973 05 6159.9
1973 04 8559·9
1973 03 3659.9
1973 02 5359·8
1973 01 3059.6
1972 12 6559.8
1972 11 4259·7
1972 10 2559.9
1972 09 9360·0
1972 08 8360·0
1972 07 7360·0
1972 06 8260·0
1972 05 9460.1
1972 04 1260.0
1972 03 3660·2
1972 02 6059·9
1972 01 260·1
1971 12 5560.2
1971 11 6360·4
1971 10 2360·2
1971 09 1160.2
1971 08 3660·2
1971 07 1060·0
1971 06 5960.2
1971 05 4260.3
1971 04 560·2
1971 03 5960·2
1971 02 8160.3
1971 01 3760.5
1970 12 3860·5
1970 11 1760.5
1970 10 2660·4
1970 09 6560·2
1970 08 3660.5
1970 07 1560.6
1970 06 5760.6
1970 05 2260.5
1970 04 2460.9
1970 03 1060·8
1970 02 6360.6
1970 01 2660.6
1969 12 5160.5
1969 11 8460.3
1969 10 5760·5
1969 09 2160·5
1969 08 9560·5
1969 07 4360.4
1969 06 7560.4
1969 05 7660.3
1969 04 5460·3
1969 03 1860.3
1969 02 8160.5
1969 01 8660.2
1968 12 5460.2
1968 11 6760·2
1968 10 6460.0
1968 09 6960.1
1968 08 4760.0
1968 07 7160·2
1968 06 3560.5
1968 05 7160·4
1968 04 660.1
1968 03 3760·1
1968 02 3360·1
1968 01 5959.8
1967 12 3360·4
1967 11 9660.3
1967 10 2060.4
1967 09 2960.2
1967 08 5360.1
1967 07 660.1
1967 06 8560.0
1967 05 9859·8
1967 04 1659·9
1967 03 4759·6
1967 02 4059·8
1967 01 1259.9
1966 12 9860·0
1966 11 2660·1
1966 10 2459.9
1966 09 4060.0
1966 08 9859·8
1966 07 7559.7
1966 06 9859·5
1966 05 7559·6
1966 04 4459.5
1966 03 5159.5
1966 02 5259.5
1966 01 3759·5
1965 12 8459·5
1965 11 3559·4
1965 10 9759·5
1965 09 7059·4
1965 08 9459.7
1965 07 3459·8
1965 06 7359.8
1965 05 4259·7
1965 04 7559·6
1965 03 7959.6
1965 02 4159.6
1965 01 5059.6
1964 12 5259.4
1964 11 2859.3
1964 10 8959·4
1964 09 1059·3
1964 08 7659·4
1964 07 6159·5
1964 06 3259·6
1964 05 6859.9
1964 04 2160·0
1964 03 8659.5
1964 02 559·5
1964 01 9359·4
1963 12 8959·5
1963 11 3459.7
1963 10 7359·5
1963 09 7859.5
1963 08 459·4
1963 07 6259.5
1963 06 2359·4
1963 05 4359·5
1963 04 1759.5
1963 03 5159·4
1963 02 6859·3
1963 01 3359.3
1962 12 359.2
1962 11 859·2
1962 10 4659·2
1962 09 1559.6
1962 08 6459.6
1962 07 6559.1
1962 06 2059.2
1962 05 8559.4
1962 04 2359.4
1962 03 7759·7
1962 02 7759·8
1962 01 6259·6
1961 12 3259.5
1961 11 2859·6
1961 10 3159·8
1961 09 8959.6
1961 08 6659·8
1961 07 2460·0
1961 06 2060.4
1961 05 3560.2
1961 04 2560·0
1961 03 9560.4
1961 02 660.2
1961 01 9660.3
1960 12 3560·4
1960 11 060·5
1960 10 7760.1
1960 09 9060·4
1960 08 4660·2
1960 07 1960.1
1960 06 4760.1
1960 05 6060.0
1960 04 3360.0
1960 03 5959.2
1960 02 5259.7
1960 01 7859.8
1959 12 9760·1
1959 11 5159.9
1959 10 5760·1
1959 09 3559·9
1959 08 6460·0
1959 07 5460.2
1959 06 4860·1
1959 05 5260·0
1959 04 8360.1
1959 03 4760.0
1959 02 3959·7
1959 01 7360.0
1958 12 3159·9
1958 11 3859·9
1958 10 6860·1
1958 09 6760·3
1958 08 760.4
1958 07 5860·3
1958 06 9760.2
1958 05 2860.3
1958 04 3660.2
1958 03 6460.0
1958 02 1560.0
1958 01 7560·0
1957 12 7060.2
1957 11 3860·0
1957 10 3460.1
1957 09 5360.1
1957 08 8459.8
1957 07 8660·3
1957 06 9260.2
1957 05 2960·0
1957 04 7760.0
1957 03 4060.3
1957 02 5260·4
1957 01 059.9
1956 12 7660.2
1956 11 5760·2
1956 10 260.1
1956 09 8360·4
1956 08 3160.4
1956 07 1860·5
1956 06 5560·4
1956 05 2360·6
1956 04 1760.4
1956 03 2960.3
1956 02 4960·3
1956 01 8960.7
1955 12 3460·5
1955 11 2360.2
1955 10 4760·2
1955 09 7560.1
1955 08 860.3
1955 07 5660.0
1955 06 3659·6
1955 05 059·6
1955 04 9059·7
1955 03 1059·2
1955 02 2959·2
1955 01 959·4
1954 12 5559·1
1954 11 9159·4
1954 10 6559·5
1954 09 7059·7
1954 08 259.5
1954 07 3159.1
1954 06 659.4
1954 05 7959·5
1954 04 5959·6
1954 03 8759·5
1954 02 4059·9
1954 01 5359·1
1953 12 7459·0
1953 11 4059.3
1953 10 8059·4
1953 09 3659·1
1953 08 2359.3
1953 07 9759.5
1953 06 6459·4
1953 05 059·0
1953 04 759.5
1953 03 9060·0
1953 02 5459·7
1953 01 3659·8
1952 12 5159.6
1952 11 7559.7
1952 10 4059.3
1952 09 6559.8
1952 08 659.2
1952 07 3459.2
1952 06 3359.3
1952 05 3059·4
1952 04 4759·1
1952 03 7359·2
1952 02 7159.7
1952 01 159.7
1951 12 7359.6
1951 11 2459.3
1951 10 1859.5
1951 09 7259.1
1951 08 1259.3
1951 07 4459.4
1951 06 6058·9
1951 05 6259·4
1951 04 1259.2
1951 03 1559·5
1951 02 1259.0
1951 01 1559.0
1950 12 5059·0
1950 11 4359·1
1950 10 1159.0
1950 09 058.9
1950 08 2659.3
1950 07 5959·1
1950 06 2059.5
1950 05 1259·1
1950 04 6559·1
1950 03 2158.7
1950 02 2758·7
1950 01 6958·7
1949 12 1859·0
1949 11 959.2
1949 10 4459.4
1949 09 1658.9
1949 08 5959·0
1949 07 3158.8
1949 06 1058·6
1949 05 2158.7
1949 04 9058.6
1949 03 1958·6
1949 02 8758.9
1949 01 8058.8
1948 12 3659·1
1948 11 2858.8
1948 10 6458·8
1948 09 1058.8
1948 08 4758.9
1948 07 4159·1
1948 06 5358.9
1948 05 5758·3
1948 04 9858.9
1948 03 6558.2
1948 02 9258·7
1948 01 9058·4
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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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