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 9867.7
2012 03 067·5
2012 02 8368·3
2012 01 8266·6
2011 12 5467·4
2011 11 5967·1
2011 10 6168·0
2011 09 5067.7
2011 08 066·7
2011 07 4267·0
2011 06 6467·2
2011 05 4267·9
2011 04 8968.5
2011 03 3068·7
2011 02 668·9
2011 01 268·5
2010 12 9467.4
2010 11 2968·9
2010 10 2568.5
2010 09 9968·2
2010 08 1768·2
2010 07 7268.2
2010 06 8468·1
2010 05 2768·6
2010 04 8368.5
2010 03 1567·7
2010 02 7068.7
2010 01 568.3
2009 12 4268·7
2009 11 3968.8
2009 10 9668.2
2009 09 7869·2
2009 08 7070·1
2009 07 5270.2
2009 06 069·7
2009 05 1469.7
2009 04 6770.6
2009 03 8570.7
2009 02 4670·2
2009 01 869.5
2008 12 5871·2
2008 11 9470·0
2008 10 2170.2
2008 09 7869·9
2008 08 9570·7
2008 07 6270.5
2008 06 3770.8
2008 05 7070.5
2008 04 5169·2
2008 03 9568·4
2008 02 3468.7
2008 01 5169·8
2007 12 2869·7
2007 11 2469.5
2007 10 7369·6
2007 09 1771.4
2007 08 5269·7
2007 07 669·5
2007 06 4370.0
2007 05 8668.9
2007 04 7169.9
2007 03 2371·5
2007 02 5671·2
2007 01 371.2
2006 12 6370·8
2006 11 8169·9
2006 10 5169·4
2006 09 3669.0
2006 08 2670·2
2006 07 1369·7
2006 06 9069.5
2006 05 8069.5
2006 04 8769.2
2006 03 7468·4
2006 02 6169.2
2006 01 5468.6
2005 12 9769·3
2005 11 4770·6
2005 10 7771.3
2005 09 270·4
2005 08 2969.5
2005 07 3769·6
2005 06 7669.6
2005 05 9369.9
2005 04 8570.1
2005 03 7770.1
2005 02 2169.7
2005 01 2170.6
2004 12 9170.3
2004 11 2470·4
2004 10 9971·2
2004 09 670.1
2004 08 9670·3
2004 07 5870.2
2004 06 2570.3
2004 05 9271·0
2004 04 7670·8
2004 03 8770·2
2004 02 3470·5
2004 01 4770·0
2003 12 3169·9
2003 11 4369.8
2003 10 9170.6
2003 09 6670·9
2003 08 8771·8
2003 07 8171.2
2003 06 8471·9
2003 05 6970·8
2003 04 9470.4
2003 03 8370·3
2003 02 2470·6
2003 01 9870·6
2002 12 2871·5
2002 11 5771·9
2002 10 5171·6
2002 09 2471.6
2002 08 8872·9
2002 07 3372·2
2002 06 2772.3
2002 05 4072·3
2002 04 171.9
2002 03 6972·8
2002 02 3973.1
2002 01 6671·4
2001 12 1672.5
2001 11 4672·8
2001 10 172·3
2001 09 4572·3
2001 08 1072·5
2001 07 7072.1
2001 06 5171·9
2001 05 4872·3
2001 04 8173.1
2001 03 7474·3
2001 02 5173·7
2001 01 6773.5
2000 12 5772.9
2000 11 1472·6
2000 10 9073.1
2000 09 2373.7
2000 08 8772·3
2000 07 7272·6
2000 06 8073·5
2000 05 5972·5
2000 04 4773.0
2000 03 5373.0
2000 02 5973.6
2000 01 4473.8
1999 12 3672·8
1999 11 9173·0
1999 10 9173·0
1999 09 7373.4
1999 08 8173·6
1999 07 4173·7
1999 06 6273.6
1999 05 6572.9
1999 04 3273·6
1999 03 8573·4
1999 02 8673.2
1999 01 6372·7
1998 12 6472·4
1998 11 3072.8
1998 10 173·5
1998 09 3873·1
1998 08 7873·3
1998 07 872.9
1998 06 7072·8
1998 05 8372.8
1998 04 9872·4
1998 03 7572·5
1998 02 8073·2
1998 01 1774.3
1997 12 7674·0
1997 11 1273·3
1997 10 4472·9
1997 09 8472.7
1997 08 8771.7
1997 07 2772·2
1997 06 172·4
1997 05 5473.1
1997 04 3072.0
1997 03 5172.9
1997 02 1372·7
1997 01 2172.4
1996 12 3372·1
1996 11 4072·5
1996 10 6872.1
1996 09 372·0
1996 08 4471.2
1996 07 7770·3
1996 06 7970.8
1996 05 4671·1
1996 04 3971.7
1996 03 6771·1
1996 02 8470.4
1996 01 1870·6
1995 12 2070·1
1995 11 4469·8
1995 10 4670·4
1995 09 1369·6
1995 08 1070.3
1995 07 6270.4
1995 06 5270.4
1995 05 5069.8
1995 04 6171·0
1995 03 470.5
1995 02 1670·4
1995 01 7471·5
1994 12 4770·6
1994 11 7770.5
1994 10 7670·9
1994 09 5470·8
1994 08 7071·5
1994 07 1270·8
1994 06 9471·9
1994 05 8370.9
1994 04 5570·7
1994 03 6671.3
1994 02 5871·4
1994 01 8171.2
1993 12 5170·8
1993 11 2070·5
1993 10 8170·2
1993 09 9370.1
1993 08 3570.5
1993 07 8171.3
1993 06 171.4
1993 05 8771·7
1993 04 771.2
1993 03 8170.9
1993 02 8171·3
1993 01 5771.2
1992 12 9271.1
1992 11 7670.6
1992 10 869.5
1992 09 2370.5
1992 08 4171·1
1992 07 4971·8
1992 06 9770·7
1992 05 2870·8
1992 04 2971·1
1992 03 572·0
1992 02 8471·1
1992 01 4270·6
1991 12 5670.1
1991 11 7670·5
1991 10 3270·2
1991 09 6069·7
1991 08 4769·3
1991 07 1969·4
1991 06 3069·6
1991 05 9970·4
1991 04 5469.8
1991 03 1570.4
1991 02 9070·7
1991 01 471·3
1990 12 5270.3
1990 11 7270.8
1990 10 5071.4
1990 09 4571·8
1990 08 4171·9
1990 07 2171·6
1990 06 7371.2
1990 05 1671.6
1990 04 4571.3
1990 03 1871·4
1990 02 4871.6
1990 01 3571.1
1989 12 1770·1
1989 11 4572.1
1989 10 8571·1
1989 09 4772·2
1989 08 3173·6
1989 07 974.4
1989 06 2573.2
1989 05 2172.4
1989 04 8772.9
1989 03 4172·7
1989 02 2972.0
1989 01 5172·4
1988 12 1172.9
1988 11 9972.2
1988 10 8672·7
1988 09 5672.4
1988 08 5372.4
1988 07 6372·5
1988 06 872.5
1988 05 8071·7
1988 04 8972.8
1988 03 4073·0
1988 02 3374.0
1988 01 9373·7
1987 12 2072.8
1987 11 6273.1
1987 10 2572·7
1987 09 8973.0
1987 08 6973.0
1987 07 8672·8
1987 06 7072·6
1987 05 8673·2
1987 04 8972·9
1987 03 9373.4
1987 02 8273.3
1987 01 3073.6
1986 12 5372·6
1986 11 9072·7
1986 10 9972·4
1986 09 8872.8
1986 08 6472.5
1986 07 972.3
1986 06 8472·6
1986 05 5672·6
1986 04 4572.2
1986 03 572·0
1986 02 2572·5
1986 01 5271.6
1985 12 4872.8
1985 11 6272.1
1985 10 3472.9
1985 09 2172·2
1985 08 4771.3
1985 07 8571·5
1985 06 4971·2
1985 05 3171·4
1985 04 4471.8
1985 03 671·7
1985 02 3471.7
1985 01 7771·7
1984 12 6471.2
1984 11 8171.2
1984 10 7671.0
1984 09 7870·1
1984 08 5669·8
1984 07 9371.2
1984 06 8770·4
1984 05 7771.0
1984 04 9769·9
1984 03 4869.9
1984 02 769.8
1984 01 4669·7
1983 12 8669·5
1983 11 7869.9
1983 10 9869.9
1983 09 7670·4
1983 08 5070·0
1983 07 3969.9
1983 06 4769·4
1983 05 8869.1
1983 04 3869·9
1983 03 1370.4
1983 02 6870·5
1983 01 2570.0
1982 12 2670·5
1982 11 670.1
1982 10 9869·4
1982 09 5869·5
1982 08 1570.1
1982 07 5169.7
1982 06 170.4
1982 05 7970.0
1982 04 2970.0
1982 03 469.9
1982 02 6469·3
1982 01 869.1
1981 12 1969·4
1981 11 4669.4
1981 10 170·4
1981 09 8968.9
1981 08 6169.6
1981 07 8469·6
1981 06 4869.4
1981 05 9270.0
1981 04 5569·8
1981 03 4969·2
1981 02 6969·7
1981 01 1070.2
1980 12 2569.3
1980 11 069.6
1980 10 5269.9
1980 09 6368.8
1980 08 2469·1
1980 07 1669·2
1980 06 1068·5
1980 05 9568·9
1980 04 2668·5
1980 03 567.9
1980 02 8168.5
1980 01 7468·9
1979 12 3168.9
1979 11 9868·7
1979 10 2768.5
1979 09 9569.0
1979 08 6569·2
1979 07 5369.1
1979 06 3669.0
1979 05 7869·1
1979 04 7868.9
1979 03 5070.0
1979 02 2269·4
1979 01 6668.5
1978 12 4669.0
1978 11 9668·1
1978 10 2268·9
1978 09 2869·0
1978 08 6968.5
1978 07 2368.7
1978 06 9968.8
1978 05 5967.8
1978 04 7268·1
1978 03 8767·2
1978 02 4167·3
1978 01 7867·8
1977 12 667.2
1977 11 7167.0
1977 10 6166.6
1977 09 2867·2
1977 08 4666.4
1977 07 8166.2
1977 06 9667·0
1977 05 8066.4
1977 04 9365·9
1977 03 4866.2
1977 02 1166.0
1977 01 2765·2
1976 12 7165.1
1976 11 2965·4
1976 10 9164.8
1976 09 8764.5
1976 08 3265·3
1976 07 665·8
1976 06 5265·3
1976 05 765.2
1976 04 5165.3
1976 03 8564·6
1976 02 2964.2
1976 01 5464.5
1975 12 2864·3
1975 11 9863.5
1975 10 8763·9
1975 09 2264.0
1975 08 8964·3
1975 07 264·3
1975 06 1363·9
1975 05 3264·7
1975 04 8364·2
1975 03 7864.0
1975 02 2064.0
1975 01 2664·4
1974 12 8764·5
1974 11 3363·8
1974 10 4563·4
1974 09 7563.6
1974 08 063.6
1974 07 9963.5
1974 06 5362.4
1974 05 7262.8
1974 04 4962·8
1974 03 3262·9
1974 02 3062·6
1974 01 3661·2
1973 12 8361·4
1973 11 1461·5
1973 10 8961·4
1973 09 1261.6
1973 08 7860.9
1973 07 5161.3
1973 06 7061·3
1973 05 6960·9
1973 04 3461·1
1973 03 7561·0
1973 02 3360.8
1973 01 060·1
1972 12 7659.9
1972 11 4459·8
1972 10 6859·9
1972 09 2659.5
1972 08 5659·8
1972 07 3759·2
1972 06 8658.8
1972 05 8959·4
1972 04 4858·3
1972 03 6357·8
1972 02 2757.9
1972 01 6057·9
1971 12 5358·7
1971 11 5258.4
1971 10 5358·0
1971 09 3258·5
1971 08 9757.9
1971 07 6257.8
1971 06 5156.4
1971 05 2557.4
1971 04 2957.3
1971 03 7457.0
1971 02 3557.2
1971 01 8257·6
1970 12 2457.8
1970 11 9457.7
1970 10 4358·0
1970 09 7357.8
1970 08 8557·5
1970 07 5457.7
1970 06 3757·1
1970 05 9257·4
1970 04 3557.6
1970 03 1257.6
1970 02 657·8
1970 01 5957·9
1969 12 2556.8
1969 11 4856.9
1969 10 6256.6
1969 09 1656.7
1969 08 3156.8
1969 07 6956.6
1969 06 4257.4
1969 05 3455·6
1969 04 5257.0
1969 03 757·1
1969 02 1156·7
1969 01 655.7
1968 12 1555·1
1968 11 1955.3
1968 10 5654.8
1968 09 5254.9
1968 08 7054.6
1968 07 8554.9
1968 06 9055.1
1968 05 1654·4
1968 04 9253·7
1968 03 1453·8
1968 02 5053·8
1968 01 6753·7
1967 12 8255·2
1967 11 3654.9
1967 10 053·3
1967 09 9953·5
1967 08 6452.6
1967 07 753.2
1967 06 2753·3
1967 05 3153.1
1967 04 8953·0
1967 03 1152.6
1967 02 4552.3
1967 01 852·2
1966 12 3452.6
1966 11 5351.6
1966 10 9151.6
1966 09 9851.0
1966 08 9751.1
1966 07 6451·0
1966 06 2852·3
1966 05 9552.6
1966 04 551·9
1966 03 350·3
1966 02 4450.6
1966 01 2050·9
1965 12 850.3
1965 11 4950.7
1965 10 5250.0
1965 09 1549·8
1965 08 8050.3
1965 07 1150.3
1965 06 9050.1
1965 05 5149.9
1965 04 2449·7
1965 03 1949·6
1965 02 2149.4
1965 01 2048·7
1964 12 6449.4
1964 11 3049.8
1964 10 3249.8
1964 09 4349.6
1964 08 5050·0
1964 07 2648·2
1964 06 3648.3
1964 05 6449.4
1964 04 5750·8
1964 03 1349.5
1964 02 7349.2
1964 01 5148·5
1963 12 8747.5
1963 11 2347.8
1963 10 347·6
1963 09 9947.5
1963 08 6547.1
1963 07 1447·8
1963 06 1547·0
1963 05 2646.9
1963 04 4147·6
1963 03 6547.8
1963 02 2348·3
1963 01 7848·0
1962 12 9048·0
1962 11 8548·3
1962 10 6348·6
1962 09 2348·5
1962 08 1248.2
1962 07 447.6
1962 06 047.2
1962 05 5646·6
1962 04 3446.6
1962 03 7945·1
1962 02 2045.5
1962 01 9546.7
1961 12 546.5
1961 11 9347.5
1961 10 3646.7
1961 09 8446·8
1961 08 246.9
1961 07 5046.3
1961 06 8746·5
1961 05 9347·0
1961 04 2347·8
1961 03 8548·4
1961 02 3648.2
1961 01 1645.7
1960 12 9646.7
1960 11 5146.4
1960 10 7045.3
1960 09 7346·2
1960 08 6945.6
1960 07 3346·7
1960 06 246·9
1960 05 647.0
1960 04 1946.7
1960 03 3545.0
1960 02 7045·2
1960 01 8644.8
1959 12 4645·5
1959 11 9145.1
1959 10 3745.7
1959 09 645.1
1959 08 7544·8
1959 07 5544.2
1959 06 9144.7
1959 05 8544.8
1959 04 5745.0
1959 03 1145.8
1959 02 4444.9
1959 01 6945·2
1958 12 6744·7
1958 11 6545.1
1958 10 3546·2
1958 09 2546.2
1958 08 547·4
1958 07 4747·4
1958 06 2747.2
1958 05 4946.7
1958 04 9747.1
1958 03 1646·2
1958 02 745.9
1958 01 5846·3
1957 12 9445·7
1957 11 5345.3
1957 10 8944.5
1957 09 9845·0
1957 08 7045·8
1957 07 6347.2
1957 06 945·8
1957 05 3745.8
1957 04 2646·2
1957 03 8046·4
1957 02 3246.3
1957 01 7047·4
1956 12 8746.6
1956 11 5946·6
1956 10 4547·7
1956 09 1647.2
1956 08 446.4
1956 07 8246·2
1956 06 6046.4
1956 05 1846.1
1956 04 5346.0
1956 03 5645·8
1956 02 1746.0
1956 01 4745·1
1955 12 3347.9
1955 11 1247·6
1955 10 7746·3
1955 09 9546·5
1955 08 7045·3
1955 07 844·9
1955 06 2844·6
1955 05 8345·0
1955 04 1445.4
1955 03 2445.0
1955 02 8445·8
1955 01 5545·2
1954 12 4145.3
1954 11 6846·4
1954 10 8246·1
1954 09 7847·3
1954 08 5145.2
1954 07 7144.9
1954 06 8644·8
1954 05 4944·9
1954 04 7044·9
1954 03 8945·2
1954 02 8243.5
1954 01 8642.0
1953 12 4741·9
1953 11 542.6
1953 10 8543.8
1953 09 3244·1
1953 08 5944.2
1953 07 2445·0
1953 06 3144·3
1953 05 5845.6
1953 04 645.5
1953 03 7944.9
1953 02 8445·6
1953 01 5645·2
1952 12 1343·2
1952 11 2745·4
1952 10 3244.3
1952 09 4845.6
1952 08 3044·8
1952 07 4843·8
1952 06 8744·5
1952 05 7643·9
1952 04 3344·8
1952 03 5044·4
1952 02 8844.9
1952 01 946·3
1951 12 2247.3
1951 11 6345.8
1951 10 9745.6
1951 09 4245·1
1951 08 2345.7
1951 07 4647.3
1951 06 346.9
1951 05 9547.3
1951 04 8646.6
1951 03 7947·8
1951 02 1746.2
1951 01 1047·5
1950 12 8647.8
1950 11 6946·6
1950 10 7947·6
1950 09 5847·0
1950 08 2545·7
1950 07 4842.9
1950 06 5044.7
1950 05 3245·0
1950 04 2646.2
1950 03 7245·0
1950 02 1946·6
1950 01 5246·6
1949 12 4145.9
1949 11 2345.7
1949 10 9945.9
1949 09 6145·2
1949 08 4546.3
1949 07 846·9
1949 06 2845.1
1949 05 2945.1
1949 04 3943·5
1949 03 5845·7
1949 02 6744·2
1949 01 5042·4
1948 12 4743·9
1948 11 3044.2
1948 10 744.1
1948 09 4344·9
1948 08 2045·0
1948 07 645·6
1948 06 5846·4
1948 05 5346·0
1948 04 3446.6
1948 03 9145·4
1948 02 6046.6
1948 01 4846.3
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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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