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 9481·3
2012 03 381·6
2012 02 6681.6
2012 01 9781.6
2011 12 3781·5
2011 11 2681.3
2011 10 981·3
2011 09 5781·6
2011 08 2781·6
2011 07 2981.5
2011 06 3381·7
2011 05 9881.9
2011 04 1581.6
2011 03 9381.8
2011 02 5381.7
2011 01 6281.7
2010 12 7681.8
2010 11 2581.9
2010 10 681.9
2010 09 2082.1
2010 08 1282.0
2010 07 5681.9
2010 06 5582.2
2010 05 6482.3
2010 04 4682.6
2010 03 4482.5
2010 02 8882·3
2010 01 1682·4
2009 12 3081·9
2009 11 7082.4
2009 10 1782.5
2009 09 1882.5
2009 08 3982·8
2009 07 4082.8
2009 06 8182·9
2009 05 4082·9
2009 04 7382.8
2009 03 8782.7
2009 02 4282·8
2009 01 7582·8
2008 12 5882·8
2008 11 6682·9
2008 10 8883.0
2008 09 4483·1
2008 08 4483.1
2008 07 6083·1
2008 06 3283.1
2008 05 9083·1
2008 04 683.1
2008 03 7583·3
2008 02 1383·2
2008 01 8283·3
2007 12 4683·1
2007 11 4382.9
2007 10 9282·7
2007 09 1482.8
2007 08 8782.9
2007 07 2182·9
2007 06 5982·9
2007 05 783·0
2007 04 8183.0
2007 03 8983·2
2007 02 2583.2
2007 01 383·4
2006 12 483·1
2006 11 5583.0
2006 10 2982.9
2006 09 7282.9
2006 08 5582.9
2006 07 5083·0
2006 06 3382·8
2006 05 782·8
2006 04 5982·8
2006 03 3183·0
2006 02 2582.9
2006 01 2982.8
2005 12 6882.7
2005 11 8082.7
2005 10 1982·7
2005 09 8282.9
2005 08 5782.9
2005 07 382·8
2005 06 5382·6
2005 05 3482.9
2005 04 2582·7
2005 03 3282.6
2005 02 8882·8
2005 01 7982·7
2004 12 9982·6
2004 11 2482.7
2004 10 1382.6
2004 09 3782·7
2004 08 2982.7
2004 07 5983.0
2004 06 4182.9
2004 05 5282.8
2004 04 9082.7
2004 03 4682·8
2004 02 1082.7
2004 01 9382·8
2003 12 8282·8
2003 11 1582.8
2003 10 8282.9
2003 09 5482.8
2003 08 3283·0
2003 07 2383·0
2003 06 4683·3
2003 05 5583·1
2003 04 8883·2
2003 03 5283.1
2003 02 1583.0
2003 01 3882·9
2002 12 2883·1
2002 11 882.9
2002 10 2583.2
2002 09 7583.3
2002 08 5083.2
2002 07 2383.1
2002 06 4183.2
2002 05 5883·6
2002 04 8283.6
2002 03 5483·5
2002 02 5083·7
2002 01 783·5
2001 12 7283·7
2001 11 8283·5
2001 10 6583.6
2001 09 6683·5
2001 08 9683.5
2001 07 1483·6
2001 06 2483.6
2001 05 483.8
2001 04 5583·7
2001 03 8284·1
2001 02 9084.1
2001 01 1584.1
2000 12 7483.9
2000 11 4283·8
2000 10 5083.6
2000 09 1983.7
2000 08 483·8
2000 07 7583·9
2000 06 1884.1
2000 05 5984·1
2000 04 2084·4
2000 03 9084.3
2000 02 3184·4
2000 01 584·4
1999 12 2184.0
1999 11 1684.2
1999 10 5384.1
1999 09 5184·0
1999 08 3584·0
1999 07 1183·9
1999 06 7184·1
1999 05 1684·1
1999 04 1084·1
1999 03 5784.0
1999 02 9884.4
1999 01 4484·6
1998 12 2384·2
1998 11 5984·1
1998 10 7284·1
1998 09 484·2
1998 08 7484.1
1998 07 5184·1
1998 06 5684.0
1998 05 9183.9
1998 04 8883.9
1998 03 8784·2
1998 02 3784·1
1998 01 2384.0
1997 12 1684·1
1997 11 5184·0
1997 10 3084·2
1997 09 4584.3
1997 08 3284·5
1997 07 4884.3
1997 06 7184.1
1997 05 2583·8
1997 04 3884·0
1997 03 1184.0
1997 02 2383·9
1997 01 5984·0
1996 12 5984.1
1996 11 9584.1
1996 10 7584·1
1996 09 6583.9
1996 08 4584·0
1996 07 8383.9
1996 06 3983.6
1996 05 8783·7
1996 04 7183.6
1996 03 8183·5
1996 02 5383.5
1996 01 9483.5
1995 12 3983.4
1995 11 2183.5
1995 10 8083.4
1995 09 8183·5
1995 08 7283·3
1995 07 6083·4
1995 06 883.3
1995 05 6683.5
1995 04 2383.7
1995 03 7983.5
1995 02 5083.6
1995 01 9583·5
1994 12 6583·5
1994 11 8483·6
1994 10 4383.5
1994 09 3583·6
1994 08 183·3
1994 07 883.2
1994 06 5182·9
1994 05 8183·3
1994 04 5483.2
1994 03 683.3
1994 02 6283.5
1994 01 5383.4
1993 12 7583.6
1993 11 6283.6
1993 10 8883·5
1993 09 9483.4
1993 08 4083.5
1993 07 8083·5
1993 06 6783·6
1993 05 7383·4
1993 04 4983·2
1993 03 9483·2
1993 02 6283·1
1993 01 8583.3
1992 12 2783.4
1992 11 5983·5
1992 10 6183.5
1992 09 4983.6
1992 08 2683.8
1992 07 5883.8
1992 06 7883·9
1992 05 983.8
1992 04 1983·7
1992 03 9683.5
1992 02 4983.4
1992 01 3483.5
1991 12 983.2
1991 11 683.4
1991 10 3883·4
1991 09 1883·4
1991 08 1983·4
1991 07 4483.3
1991 06 3283.4
1991 05 8083·4
1991 04 183.7
1991 03 9283.4
1991 02 4583·5
1991 01 6583·2
1990 12 2983·4
1990 11 5683.5
1990 10 1483·4
1990 09 4283·4
1990 08 583·4
1990 07 6983·4
1990 06 383·4
1990 05 483.5
1990 04 5383.5
1990 03 8683.6
1990 02 9883.8
1990 01 7283·8
1989 12 2583·7
1989 11 8983·8
1989 10 1483.5
1989 09 8883.6
1989 08 9483.3
1989 07 8683·3
1989 06 8883·2
1989 05 2283.2
1989 04 6383·3
1989 03 783·3
1989 02 8283·4
1989 01 6983.5
1988 12 5583·2
1988 11 983.3
1988 10 8583.0
1988 09 4882.9
1988 08 2283.0
1988 07 7582·8
1988 06 1082.6
1988 05 182.8
1988 04 3982·8
1988 03 982.8
1988 02 9582.7
1988 01 082.6
1987 12 782.7
1987 11 4682·6
1987 10 182·7
1987 09 3882·6
1987 08 5082·6
1987 07 3982·6
1987 06 1882·5
1987 05 3382·6
1987 04 1982.5
1987 03 7382·4
1987 02 5882·3
1987 01 3182.2
1986 12 9082.3
1986 11 5282.3
1986 10 6082.3
1986 09 082.3
1986 08 6282·1
1986 07 1082.1
1986 06 8582.1
1986 05 3581·8
1986 04 6281·8
1986 03 181·8
1986 02 2281.6
1986 01 5481.7
1985 12 3981·7
1985 11 981.6
1985 10 8481.6
1985 09 281.8
1985 08 7081.4
1985 07 3981·3
1985 06 881·3
1985 05 4881·2
1985 04 5481·5
1985 03 2481·4
1985 02 5881·2
1985 01 8681.3
1984 12 1781·0
1984 11 2080.8
1984 10 2280.9
1984 09 3580.7
1984 08 981.0
1984 07 881·0
1984 06 1180.8
1984 05 3980·8
1984 04 680.6
1984 03 9680·4
1984 02 6580.3
1984 01 6880.1
1983 12 780·3
1983 11 1480.2
1983 10 4680·2
1983 09 1580·5
1983 08 3980.4
1983 07 2080·2
1983 06 4280·2
1983 05 079.9
1983 04 5279·9
1983 03 9579·7
1983 02 6679·6
1983 01 6779.8
1982 12 2180.0
1982 11 4679.9
1982 10 5580.0
1982 09 8580·0
1982 08 4780·0
1982 07 580·0
1982 06 7379.9
1982 05 4879.9
1982 04 5579·6
1982 03 2779·6
1982 02 879·6
1982 01 7579.4
1981 12 9579.4
1981 11 9579.6
1981 10 7279·4
1981 09 1179.0
1981 08 4279.2
1981 07 1679.2
1981 06 379.3
1981 05 2479.6
1981 04 9879·4
1981 03 2179·3
1981 02 6579.0
1981 01 979·0
1980 12 8878.8
1980 11 6678.7
1980 10 4578·7
1980 09 8578·7
1980 08 6178·6
1980 07 3478·6
1980 06 5678·5
1980 05 9678·6
1980 04 9478.7
1980 03 3078.6
1980 02 3578.7
1980 01 1178.7
1979 12 8678.4
1979 11 8778·1
1979 10 4778·2
1979 09 2578.2
1979 08 6378·1
1979 07 6177.9
1979 06 7877.6
1979 05 5577.4
1979 04 7677.4
1979 03 3577·7
1979 02 4177.7
1979 01 4877.5
1978 12 077.5
1978 11 1377·4
1978 10 7577.3
1978 09 7177.1
1978 08 3576·7
1978 07 2976·9
1978 06 4276·7
1978 05 1876·8
1978 04 776·7
1978 03 3976·6
1978 02 3176·5
1978 01 1076·5
1977 12 6576.3
1977 11 2476·3
1977 10 5476.0
1977 09 9075.9
1977 08 8675·8
1977 07 9175.7
1977 06 4875.8
1977 05 2775.7
1977 04 7075·6
1977 03 7275·5
1977 02 7875·3
1977 01 1675·1
1976 12 4375·3
1976 11 2375.2
1976 10 3075.1
1976 09 7575.1
1976 08 5375.1
1976 07 2675·1
1976 06 1874·9
1976 05 4974·6
1976 04 7874·7
1976 03 8874.4
1976 02 8074·3
1976 01 674.3
1975 12 1774.1
1975 11 4074·2
1975 10 7874.5
1975 09 4274·3
1975 08 9674.3
1975 07 3874.1
1975 06 074.2
1975 05 7574.0
1975 04 6573.9
1975 03 6673·8
1975 02 6073·5
1975 01 4873.9
1974 12 073·8
1974 11 2973.8
1974 10 9573·8
1974 09 3373.7
1974 08 173·6
1974 07 5873·8
1974 06 6873·6
1974 05 2273.4
1974 04 9373.3
1974 03 1173·4
1974 02 6673·5
1974 01 3473·5
1973 12 2673.3
1973 11 6973.3
1973 10 473.1
1973 09 1472.9
1973 08 7772·8
1973 07 3973.0
1973 06 1872·9
1973 05 3272·7
1973 04 4572·7
1973 03 5272.6
1973 02 7272·6
1973 01 8072·2
1972 12 5772·3
1972 11 6572·0
1972 10 5372.1
1972 09 7872·2
1972 08 6172·3
1972 07 6072.3
1972 06 7572·3
1972 05 7172.3
1972 04 3472.2
1972 03 4372.4
1972 02 7572.1
1972 01 2872.1
1971 12 7672.1
1971 11 4672·2
1971 10 1672·1
1971 09 4272.1
1971 08 1372.0
1971 07 2671·9
1971 06 8672.0
1971 05 3372.0
1971 04 9571.9
1971 03 6471.9
1971 02 9872.1
1971 01 4472·1
1970 12 9772·1
1970 11 6772.2
1970 10 8972·1
1970 09 4671·8
1970 08 1972.1
1970 07 6672·2
1970 06 2472·1
1970 05 3271.9
1970 04 8872.3
1970 03 1972·2
1970 02 8972·0
1970 01 2272.0
1969 12 5271.9
1969 11 671·7
1969 10 9871.8
1969 09 5871·8
1969 08 8971·8
1969 07 3571.5
1969 06 8771·6
1969 05 1271·4
1969 04 9871·3
1969 03 3771·4
1969 02 2271.5
1969 01 7671.3
1968 12 571·2
1968 11 6871·2
1968 10 8871.0
1968 09 7071·1
1968 08 5971.0
1968 07 1171·2
1968 06 071·3
1968 05 3971.3
1968 04 3771·1
1968 03 7271.1
1968 02 9471·0
1968 01 5070·7
1967 12 3871.3
1967 11 8371·1
1967 10 3471·3
1967 09 9971·1
1967 08 8971.0
1967 07 9970.9
1967 06 870.8
1967 05 470·6
1967 04 4070.7
1967 03 470.5
1967 02 2970·6
1967 01 1070.6
1966 12 6570.7
1966 11 370.8
1966 10 3470·7
1966 09 8670·6
1966 08 6570.3
1966 07 2970·2
1966 06 8670·2
1966 05 2570.2
1966 04 6770.0
1966 03 3770·0
1966 02 7469.9
1966 01 4870.1
1965 12 1970.0
1965 11 1069·9
1965 10 1069.9
1965 09 9869.8
1965 08 9870·1
1965 07 5470.1
1965 06 3270.1
1965 05 4469.9
1965 04 469.7
1965 03 169.7
1965 02 269·7
1965 01 8069.8
1964 12 6269·6
1964 11 769.4
1964 10 1069·4
1964 09 2669.4
1964 08 2269.6
1964 07 5469·5
1964 06 6869.7
1964 05 2669·9
1964 04 6169·9
1964 03 4969.5
1964 02 1369.5
1964 01 4969·5
1963 12 7869.6
1963 11 2369·8
1963 10 969.5
1963 09 8969·3
1963 08 9969.3
1963 07 3369.4
1963 06 4369·4
1963 05 6569·5
1963 04 7569.5
1963 03 6169·4
1963 02 2869.2
1963 01 2169.2
1962 12 8069.0
1962 11 1369·1
1962 10 269·0
1962 09 2769.4
1962 08 1569.4
1962 07 2168.9
1962 06 2969.0
1962 05 7669·0
1962 04 568·9
1962 03 4168.9
1962 02 9669·0
1962 01 8868·8
1961 12 168.7
1961 11 5668·8
1961 10 1569·1
1961 09 768·8
1961 08 7868·9
1961 07 7169.2
1961 06 2569·6
1961 05 269·3
1961 04 3769·1
1961 03 1969·2
1961 02 8968.8
1961 01 6768·9
1960 12 369·1
1960 11 5669.3
1960 10 9569.0
1960 09 2169.4
1960 08 2669.2
1960 07 6469.1
1960 06 5469·1
1960 05 968.9
1960 04 8268.9
1960 03 4968·2
1960 02 768.8
1960 01 9968·6
1959 12 7168·8
1959 11 4368.6
1959 10 1468.8
1959 09 8668·5
1959 08 1968·5
1959 07 368.8
1959 06 6468·8
1959 05 8968·7
1959 04 7568.8
1959 03 1068.8
1959 02 7168.5
1959 01 5268·7
1958 12 1668.6
1958 11 7168·5
1958 10 7168.8
1958 09 4468·8
1958 08 4169.1
1958 07 1768·8
1958 06 2868·7
1958 05 5968.7
1958 04 7768·6
1958 03 668·3
1958 02 3068.2
1958 01 1768.3
1957 12 7368·4
1957 11 1968·5
1957 10 8968·5
1957 09 6168·4
1957 08 568·1
1957 07 6268.6
1957 06 4468.4
1957 05 6168.2
1957 04 7368.3
1957 03 6768·4
1957 02 5768·3
1957 01 1167.9
1956 12 368.1
1956 11 9168·2
1956 10 1668·1
1956 09 2968·3
1956 08 4568.2
1956 07 1668.2
1956 06 3568·2
1956 05 6168.2
1956 04 7468·0
1956 03 4768.0
1956 02 5067.9
1956 01 7568.4
1955 12 9268.2
1955 11 1867.9
1955 10 2567·9
1955 09 6667.8
1955 08 2268.0
1955 07 8367.8
1955 06 4867.5
1955 05 5267.3
1955 04 1667.5
1955 03 2667.0
1955 02 3267·0
1955 01 7867.2
1954 12 4966.8
1954 11 5267.0
1954 10 1467·0
1954 09 1267.3
1954 08 2166·8
1954 07 9366·8
1954 06 5867·1
1954 05 5067·2
1954 04 5867.3
1954 03 767·2
1954 02 5167·5
1954 01 966·8
1953 12 1166.9
1953 11 7467·2
1953 10 766.8
1953 09 3566·6
1953 08 5466.5
1953 07 166·8
1953 06 6266.7
1953 05 9666.3
1953 04 8766·9
1953 03 2067·4
1953 02 8167.1
1953 01 8767·3
1952 12 3866·8
1952 11 8766·7
1952 10 5066·3
1952 09 2766.9
1952 08 5466·3
1952 07 8466·4
1952 06 8366.6
1952 05 5966.6
1952 04 1366·5
1952 03 1966.7
1952 02 1867.0
1952 01 5366·7
1951 12 1566.8
1951 11 2166·5
1951 10 1866.7
1951 09 366.3
1951 08 8466·3
1951 07 4966.4
1951 06 6965.6
1951 05 2966.2
1951 04 7265.9
1951 03 8366.2
1951 02 8765.8
1951 01 7466.0
1950 12 5365·7
1950 11 3166.0
1950 10 765·9
1950 09 765.7
1950 08 2966.0
1950 07 2465·8
1950 06 9466.1
1950 05 2365.6
1950 04 2465·5
1950 03 1865·1
1950 02 3564·9
1950 01 4164·9
1949 12 8965.2
1949 11 9565·4
1949 10 4265.7
1949 09 465·3
1949 08 9965.4
1949 07 6265.3
1949 06 5565·3
1949 05 8365.3
1949 04 5464.9
1949 03 5164.9
1949 02 3565.0
1949 01 7164·9
1948 12 8165·1
1948 11 1864·9
1948 10 7165·0
1948 09 8865.4
1948 08 2965·0
1948 07 4565.4
1948 06 7565·0
1948 05 7664.3
1948 04 7464·8
1948 03 3864·3
1948 02 8664.6
1948 01 764·2
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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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