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 5574.1
2012 03 4574·6
2012 02 5374.4
2012 01 8374·6
2011 12 6075·1
2011 11 1575·0
2011 10 7775.3
2011 09 875·5
2011 08 5075.5
2011 07 275·6
2011 06 2175.6
2011 05 5275.3
2011 04 7675.3
2011 03 8775·2
2011 02 9775.4
2011 01 5675.7
2010 12 1275·9
2010 11 7875.5
2010 10 4375·1
2010 09 9275·3
2010 08 5975·7
2010 07 775.2
2010 06 2375·4
2010 05 5275·3
2010 04 4376·2
2010 03 2976·5
2010 02 2476.3
2010 01 5776·4
2009 12 1575·8
2009 11 2676.3
2009 10 5976·0
2009 09 4975.4
2009 08 4875·7
2009 07 675.9
2009 06 6775.8
2009 05 9976.0
2009 04 4576·3
2009 03 9976·4
2009 02 976·3
2009 01 076.2
2008 12 2976.4
2008 11 6376·5
2008 10 7476.3
2008 09 7176.0
2008 08 5376.4
2008 07 7875.9
2008 06 7476·3
2008 05 5875.9
2008 04 9075.8
2008 03 5375·9
2008 02 4875.6
2008 01 2875.8
2007 12 4275·8
2007 11 1775.8
2007 10 5975.9
2007 09 7676.1
2007 08 3376.3
2007 07 2976.2
2007 06 9476·1
2007 05 2176.2
2007 04 1575·7
2007 03 6876.2
2007 02 6675.7
2007 01 776·1
2006 12 6275·9
2006 11 4475.5
2006 10 1375·9
2006 09 475.8
2006 08 7575·8
2006 07 8676·4
2006 06 9876.2
2006 05 576·3
2006 04 7976.2
2006 03 5176.0
2006 02 1076.0
2006 01 3076.0
2005 12 2675.8
2005 11 2275·7
2005 10 6075·9
2005 09 2376.0
2005 08 8976.4
2005 07 476·2
2005 06 8675.9
2005 05 5376.0
2005 04 7075.9
2005 03 2975·7
2005 02 5376·2
2005 01 1475·8
2004 12 9375·8
2004 11 5576·3
2004 10 4676.3
2004 09 2576.4
2004 08 1076.4
2004 07 6376·5
2004 06 8076·6
2004 05 3076·4
2004 04 9676.7
2004 03 5876·8
2004 02 9376.7
2004 01 9976.7
2003 12 5176.7
2003 11 7476·4
2003 10 4676.6
2003 09 2576·9
2003 08 076·9
2003 07 6677.0
2003 06 2977.4
2003 05 2976.8
2003 04 9476.8
2003 03 1777.1
2003 02 5376.1
2003 01 5376·3
2002 12 875.9
2002 11 3275.9
2002 10 5875·9
2002 09 6776.2
2002 08 4376.0
2002 07 4475.3
2002 06 576.2
2002 05 6676·2
2002 04 2476.2
2002 03 976·0
2002 02 8276.2
2002 01 6875.9
2001 12 276·1
2001 11 976.1
2001 10 375.9
2001 09 1776.4
2001 08 5176·0
2001 07 5076·6
2001 06 676·6
2001 05 8376.8
2001 04 7276·3
2001 03 6477·0
2001 02 5276.6
2001 01 6076.6
2000 12 9176.6
2000 11 876.4
2000 10 3176·8
2000 09 6776.6
2000 08 5876.0
2000 07 6476.5
2000 06 5576·9
2000 05 4877.2
2000 04 4977.2
2000 03 3777·3
2000 02 6277.0
2000 01 7177·0
1999 12 6376·5
1999 11 6076·6
1999 10 1576·9
1999 09 3377·1
1999 08 2677·0
1999 07 8976.6
1999 06 176·8
1999 05 5176.6
1999 04 8976·7
1999 03 776·0
1999 02 3476·5
1999 01 6976·8
1998 12 2776·8
1998 11 1876·8
1998 10 5276·4
1998 09 5777·1
1998 08 4076.3
1998 07 5676·3
1998 06 1775.9
1998 05 975·6
1998 04 5475·6
1998 03 7775.9
1998 02 1775.8
1998 01 4475.5
1997 12 1875.9
1997 11 6376·1
1997 10 6576·0
1997 09 676.4
1997 08 1076.5
1997 07 1976.3
1997 06 076.1
1997 05 6575·8
1997 04 2875·9
1997 03 7876·0
1997 02 8375·5
1997 01 1475.9
1996 12 9975·5
1996 11 9775.1
1996 10 375.5
1996 09 7375.6
1996 08 7275·8
1996 07 5775·6
1996 06 7375.7
1996 05 8575.5
1996 04 2375·3
1996 03 6475.1
1996 02 3174.8
1996 01 2074·9
1995 12 5374.4
1995 11 5174.4
1995 10 3974·4
1995 09 7374·3
1995 08 8674.5
1995 07 7374·3
1995 06 8673.5
1995 05 6174.2
1995 04 7474.6
1995 03 1474.8
1995 02 8474.8
1995 01 3074.6
1994 12 9274·6
1994 11 7875·1
1994 10 7174.9
1994 09 4875·7
1994 08 3974.7
1994 07 9974·2
1994 06 1073.3
1994 05 1074·6
1994 04 4273·8
1994 03 3174.5
1994 02 8974·6
1994 01 3474·8
1993 12 5074·6
1993 11 5974·6
1993 10 2174·1
1993 09 6673.7
1993 08 4073·5
1993 07 8773.1
1993 06 4473·3
1993 05 7373.3
1993 04 1173.0
1993 03 4773·4
1993 02 2072·5
1993 01 5172·6
1992 12 9072.6
1992 11 9672·4
1992 10 3872.5
1992 09 1772·8
1992 08 2573.3
1992 07 1773.2
1992 06 1073.0
1992 05 1872.7
1992 04 9472·7
1992 03 1472·3
1992 02 7572·2
1992 01 2071.9
1991 12 9571.8
1991 11 2171·7
1991 10 9572.3
1991 09 2072·3
1991 08 5672·5
1991 07 9372.3
1991 06 5772·0
1991 05 3571.9
1991 04 2571·6
1991 03 1271·9
1991 02 7671.6
1991 01 1171.7
1990 12 7871·8
1990 11 8671·6
1990 10 8971.4
1990 09 1571.7
1990 08 1671.1
1990 07 4571·3
1990 06 5971.2
1990 05 4371.1
1990 04 6471·0
1990 03 4670.8
1990 02 7370.7
1990 01 1371.0
1989 12 7370·8
1989 11 7171·2
1989 10 4570·4
1989 09 7070·6
1989 08 1770.1
1989 07 2769.8
1989 06 1270·2
1989 05 8270·4
1989 04 9870·8
1989 03 4570.5
1989 02 3870·3
1989 01 4570.6
1988 12 4070·1
1988 11 8170·1
1988 10 969.8
1988 09 7669·5
1988 08 9569·5
1988 07 1869·1
1988 06 4068·2
1988 05 2068·5
1988 04 3668·1
1988 03 6268·0
1988 02 6868.2
1988 01 4768.2
1987 12 6668·2
1987 11 4567.7
1987 10 5667.7
1987 09 5067·3
1987 08 967·3
1987 07 2367·2
1987 06 9167.3
1987 05 4867·2
1987 04 1566.4
1987 03 7866.4
1987 02 8866·4
1987 01 8766·2
1986 12 6166·6
1986 11 1766·4
1986 10 8366.8
1986 09 3466·1
1986 08 4665.9
1986 07 7166.1
1986 06 3966·1
1986 05 8465·2
1986 04 9565.3
1986 03 9765·4
1986 02 4465·4
1986 01 5666·0
1985 12 6064·9
1985 11 7664.4
1985 10 1264.0
1985 09 9464.5
1985 08 1664·5
1985 07 1663.7
1985 06 8064.0
1985 05 6864.4
1985 04 6265·0
1985 03 4764·8
1985 02 1164·5
1985 01 7164·1
1984 12 2463·3
1984 11 2763.1
1984 10 9363·1
1984 09 2362·9
1984 08 5463·3
1984 07 3763.4
1984 06 3963·0
1984 05 6863.3
1984 04 2562·9
1984 03 8462.4
1984 02 8661·6
1984 01 7462.1
1983 12 3962.4
1983 11 9962.3
1983 10 9862.6
1983 09 3762·8
1983 08 2162.9
1983 07 3962.0
1983 06 6362·1
1983 05 7561.3
1983 04 2261·3
1983 03 8661·2
1983 02 9260·8
1983 01 3261·2
1982 12 1561.4
1982 11 4661·8
1982 10 2661·7
1982 09 7861.7
1982 08 361·5
1982 07 5162·8
1982 06 2561·8
1982 05 762·2
1982 04 1161.4
1982 03 5861·5
1982 02 7861·1
1982 01 3760.3
1981 12 8861.2
1981 11 4861.1
1981 10 9860.8
1981 09 1359·9
1981 08 1160.5
1981 07 2860·8
1981 06 2361.2
1981 05 561·7
1981 04 7961.6
1981 03 2961·5
1981 02 1661.6
1981 01 561·3
1980 12 1860·6
1980 11 860·1
1980 10 6460·3
1980 09 3460.5
1980 08 7960.1
1980 07 4859·7
1980 06 8159.6
1980 05 3559·1
1980 04 3659.6
1980 03 5359·4
1980 02 459.7
1980 01 7859·7
1979 12 9159.9
1979 11 5759.1
1979 10 9658.8
1979 09 5758.8
1979 08 6858.6
1979 07 1658·6
1979 06 4657·1
1979 05 9157.1
1979 04 1857·8
1979 03 1058.3
1979 02 6658.2
1979 01 2358·2
1978 12 1758.2
1978 11 4858·1
1978 10 9358.0
1978 09 2457.9
1978 08 6457.4
1978 07 6157·4
1978 06 9256·2
1978 05 8855.8
1978 04 8556.5
1978 03 556.4
1978 02 4956.5
1978 01 3256·5
1977 12 3156·4
1977 11 6156·8
1977 10 7856.2
1977 09 356.0
1977 08 7755·3
1977 07 3755.2
1977 06 1655·5
1977 05 6855·7
1977 04 2455.7
1977 03 6555.8
1977 02 2655.2
1977 01 2255.3
1976 12 9555·4
1976 11 055·5
1976 10 9755.4
1976 09 8455·2
1976 08 4455·2
1976 07 2555.5
1976 06 4154.8
1976 05 9854.8
1976 04 4354·5
1976 03 4654.3
1976 02 9754.6
1976 01 3354·5
1975 12 9554.5
1975 11 9554·2
1975 10 2654·9
1975 09 8454·2
1975 08 2354·6
1975 07 2854·8
1975 06 1754.8
1975 05 7054·6
1975 04 8054·7
1975 03 2754·9
1975 02 8254·6
1975 01 3454·6
1974 12 3954·5
1974 11 9954.2
1974 10 6154·5
1974 09 4754.6
1974 08 254.5
1974 07 7555.7
1974 06 1555.2
1974 05 154.9
1974 04 9454·7
1974 03 1254.5
1974 02 3254·2
1974 01 1654·2
1973 12 6554.2
1973 11 9254·3
1973 10 2553.9
1973 09 3754.1
1973 08 9053.6
1973 07 2154.4
1973 06 3353·4
1973 05 3253.3
1973 04 7153·9
1973 03 3053.1
1973 02 1853·4
1973 01 9652·7
1972 12 3253·3
1972 11 7852.6
1972 10 6853.3
1972 09 4753.7
1972 08 2454.3
1972 07 4453·8
1972 06 9553.7
1972 05 3153.8
1972 04 2253·9
1972 03 3754·7
1972 02 3954.4
1972 01 1554.7
1971 12 2654.3
1971 11 8754·6
1971 10 6154.2
1971 09 9454·1
1971 08 6354.2
1971 07 5154·1
1971 06 4954·1
1971 05 8854·3
1971 04 8254.2
1971 03 1054.0
1971 02 1754.4
1971 01 4054.5
1970 12 5954·7
1970 11 7254.7
1970 10 354.6
1970 09 2054·2
1970 08 9354.4
1970 07 6854.7
1970 06 6854·4
1970 05 2253.9
1970 04 1254·3
1970 03 5554.5
1970 02 254.0
1970 01 6454·4
1969 12 6454.4
1969 11 1454.5
1969 10 1754.5
1969 09 9154·4
1969 08 2553.9
1969 07 5253.5
1969 06 5053·5
1969 05 7353·5
1969 04 9753·6
1969 03 053.3
1969 02 6553·4
1969 01 252.9
1968 12 352.5
1968 11 1652·2
1968 10 5052·0
1968 09 9952·4
1968 08 9551·8
1968 07 8152.6
1968 06 1852.5
1968 05 852.5
1968 04 4752.6
1968 03 152.4
1968 02 652.1
1968 01 9852.1
1967 12 6152·3
1967 11 852.5
1967 10 7752.4
1967 09 6251·6
1967 08 6252.0
1967 07 5951.6
1967 06 1951.4
1967 05 2051.6
1967 04 9951.7
1967 03 3551·0
1967 02 4651.8
1967 01 1651.7
1966 12 4951.4
1966 11 4452.4
1966 10 9552.0
1966 09 2052.2
1966 08 1251.9
1966 07 1652.2
1966 06 2851.9
1966 05 2552.0
1966 04 1351·3
1966 03 951·2
1966 02 3451.1
1966 01 5050.8
1965 12 350.8
1965 11 351·0
1965 10 2650.8
1965 09 4050·9
1965 08 5751.0
1965 07 652.0
1965 06 4251.6
1965 05 6450.8
1965 04 7550·3
1965 03 5050·5
1965 02 4450·4
1965 01 1651·1
1964 12 8351.3
1964 11 9050.7
1964 10 2051·4
1964 09 1651.7
1964 08 3151·8
1964 07 950·9
1964 06 8450·8
1964 05 651.5
1964 04 9452·0
1964 03 1351·5
1964 02 7251.6
1964 01 5751·6
1963 12 7451·3
1963 11 3451·2
1963 10 4950·8
1963 09 6250·2
1963 08 9550·0
1963 07 2849.7
1963 06 250·3
1963 05 4150·6
1963 04 751·4
1963 03 7750·9
1963 02 4350.6
1963 01 3750.2
1962 12 8749.9
1962 11 8949·8
1962 10 1149.9
1962 09 2150·3
1962 08 3450.4
1962 07 9349·4
1962 06 6949.6
1962 05 8650·0
1962 04 7449·8
1962 03 4849.8
1962 02 450·6
1962 01 5150.7
1961 12 5850.4
1961 11 3450.2
1961 10 3050·2
1961 09 6049·6
1961 08 6049·6
1961 07 5950·5
1961 06 8351.0
1961 05 8350.5
1961 04 8149·8
1961 03 5350·4
1961 02 2849.6
1961 01 1349.4
1960 12 4650.2
1960 11 7450.7
1960 10 5250·0
1960 09 7050.8
1960 08 750.4
1960 07 450.3
1960 06 6849.9
1960 05 9949.4
1960 04 3849.4
1960 03 4848·9
1960 02 1450·0
1960 01 6748·9
1959 12 3949·1
1959 11 3949·0
1959 10 5248·8
1959 09 6948.2
1959 08 3648·7
1959 07 3349.5
1959 06 7150.2
1959 05 2549·2
1959 04 8049·2
1959 03 1248.8
1959 02 8448.5
1959 01 7848.5
1958 12 4647·9
1958 11 8247.3
1958 10 2748·2
1958 09 9847·8
1958 08 3448.8
1958 07 7548·2
1958 06 6648·1
1958 05 7948.0
1958 04 6947.8
1958 03 4847·4
1958 02 8647.5
1958 01 4047·0
1957 12 347·0
1957 11 8246.8
1957 10 146·8
1957 09 2446.6
1957 08 946.0
1957 07 8447.5
1957 06 4946·3
1957 05 246.5
1957 04 9046·4
1957 03 8646.4
1957 02 9446·1
1957 01 6745·7
1956 12 6946.2
1956 11 4546·0
1956 10 2145.8
1956 09 3946.1
1956 08 9946.1
1956 07 4145·6
1956 06 4645.3
1956 05 6145.3
1956 04 5344·7
1956 03 8145.0
1956 02 544.8
1956 01 344.5
1955 12 3245·1
1955 11 9845.0
1955 10 6145.5
1955 09 5944.8
1955 08 6245·0
1955 07 4844.3
1955 06 343·3
1955 05 4842·4
1955 04 9443·2
1955 03 1242.1
1955 02 4342·5
1955 01 1442·5
1954 12 241·4
1954 11 9841·9
1954 10 1841·6
1954 09 2741.4
1954 08 8639.7
1954 07 3640.6
1954 06 9341·6
1954 05 8041·6
1954 04 7340.6
1954 03 8341.0
1954 02 5541.7
1954 01 9240·6
1953 12 1339·4
1953 11 2239·8
1953 10 1640.5
1953 09 940.5
1953 08 8040·1
1953 07 5841.0
1953 06 1540.2
1953 05 9839·4
1953 04 7741·2
1953 03 2441.0
1953 02 1540.9
1953 01 5440.8
1952 12 2640·5
1952 11 7540.4
1952 10 339·8
1952 09 9640·4
1952 08 8138.7
1952 07 9539·4
1952 06 9239·7
1952 05 6939.9
1952 04 1439·9
1952 03 8841·1
1952 02 2141·1
1952 01 4140·6
1951 12 2840·7
1951 11 8740·5
1951 10 5139·9
1951 09 740.0
1951 08 4840·9
1951 07 4941.7
1951 06 7238.4
1951 05 8539·9
1951 04 2338.6
1951 03 5538.3
1951 02 9538.3
1951 01 2038·4
1950 12 2938·3
1950 11 1238·3
1950 10 5938.7
1950 09 8237.7
1950 08 6638.0
1950 07 5138.0
1950 06 2738·5
1950 05 6337.5
1950 04 6137.6
1950 03 3037·6
1950 02 8637·4
1950 01 8437·2
1949 12 6336·8
1949 11 2936·8
1949 10 5036.5
1949 09 8835·8
1949 08 4836.4
1949 07 5536.4
1949 06 5635.6
1949 05 4535·9
1949 04 1635·8
1949 03 4135.3
1949 02 6734.9
1949 01 4835·0
1948 12 9335·8
1948 11 4235·5
1948 10 7135·6
1948 09 1736.4
1948 08 2835·4
1948 07 4036.7
1948 06 8235.1
1948 05 9733.7
1948 04 9834·9
1948 03 4333·4
1948 02 3634.1
1948 01 5533·5
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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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