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 3979·9
2012 03 5480.4
2012 02 6180·2
2012 01 3380·3
2011 12 6580·4
2011 11 5680.3
2011 10 380.4
2011 09 3880.7
2011 08 7180·7
2011 07 6881.0
2011 06 5980.8
2011 05 5480·9
2011 04 580.7
2011 03 7480·5
2011 02 4180·6
2011 01 2680.7
2010 12 4480·9
2010 11 7981·0
2010 10 8780·7
2010 09 2281·1
2010 08 8881·3
2010 07 1480·8
2010 06 6081.2
2010 05 3681.0
2010 04 6281·6
2010 03 3781·5
2010 02 4881.4
2010 01 8881·6
2009 12 1781·1
2009 11 3081·7
2009 10 6481·6
2009 09 2381·4
2009 08 2881·7
2009 07 9881·7
2009 06 4581·7
2009 05 881·7
2009 04 9681·8
2009 03 7481·8
2009 02 5681·7
2009 01 3881.7
2008 12 4681·7
2008 11 1382.1
2008 10 8381·9
2008 09 3281.8
2008 08 2882.0
2008 07 9981·9
2008 06 3981.9
2008 05 3581.8
2008 04 1881.8
2008 03 3781.9
2008 02 6381·9
2008 01 1682·2
2007 12 1682.2
2007 11 5882.0
2007 10 1681.8
2007 09 6881.8
2007 08 4881·9
2007 07 2181.9
2007 06 8881.9
2007 05 1182.0
2007 04 6381.8
2007 03 682.0
2007 02 9181.9
2007 01 8982.2
2006 12 3882.1
2006 11 1981·8
2006 10 6381.9
2006 09 7281.9
2006 08 7281·9
2006 07 9482·2
2006 06 6782.1
2006 05 5282·0
2006 04 9281.9
2006 03 8581·8
2006 02 9081.8
2006 01 5081·7
2005 12 4781·4
2005 11 7581·4
2005 10 4681·6
2005 09 1081·7
2005 08 1382·3
2005 07 7182.0
2005 06 7281.7
2005 05 081·9
2005 04 9081.8
2005 03 481.7
2005 02 3181·7
2005 01 1581·4
2004 12 481·3
2004 11 3181·6
2004 10 1281·7
2004 09 7481.7
2004 08 581·8
2004 07 3382.1
2004 06 2781·9
2004 05 2181·8
2004 04 6882·0
2004 03 1881.9
2004 02 1482.1
2004 01 2582·2
2003 12 9482·1
2003 11 1681·9
2003 10 3682.0
2003 09 8182.0
2003 08 982·2
2003 07 8482·2
2003 06 8082·5
2003 05 782·3
2003 04 6282·2
2003 03 482·4
2003 02 6081·8
2003 01 4881.6
2002 12 2981.9
2002 11 8381·8
2002 10 1481.9
2002 09 7382.1
2002 08 1082·1
2002 07 5281.9
2002 06 482·2
2002 05 7682.2
2002 04 3182.2
2002 03 6882.2
2002 02 1982.4
2002 01 7682·0
2001 12 4282.1
2001 11 1382.0
2001 10 7182.3
2001 09 1782·3
2001 08 1982·1
2001 07 9382.6
2001 06 9882.5
2001 05 6882·5
2001 04 6282.2
2001 03 3982·5
2001 02 6382·2
2001 01 2482·5
2000 12 9682·3
2000 11 1082·3
2000 10 5482.4
2000 09 482.5
2000 08 7282·2
2000 07 8582.3
2000 06 8382.7
2000 05 5182.7
2000 04 6582.7
2000 03 7282·8
2000 02 9082·8
2000 01 3682.8
1999 12 7682·6
1999 11 282·5
1999 10 3682·7
1999 09 5182·5
1999 08 2982·6
1999 07 3382.3
1999 06 982·5
1999 05 1782·5
1999 04 7682.8
1999 03 4582.3
1999 02 2382·7
1999 01 7783.1
1998 12 9182.7
1998 11 4582.8
1998 10 1582·6
1998 09 083.0
1998 08 7582.6
1998 07 6582.5
1998 06 4882·4
1998 05 8282·1
1998 04 5482·3
1998 03 6282·6
1998 02 1082·5
1998 01 4082·2
1997 12 7882.5
1997 11 1782·4
1997 10 1582.4
1997 09 1982·6
1997 08 2282·8
1997 07 3782·9
1997 06 9982·8
1997 05 8882·5
1997 04 8782.6
1997 03 5482·8
1997 02 2582·5
1997 01 4182.5
1996 12 9782.0
1996 11 2481.9
1996 10 8282.2
1996 09 9882.3
1996 08 582·6
1996 07 2882·5
1996 06 8382.4
1996 05 282.2
1996 04 8382.0
1996 03 7481.7
1996 02 6581·6
1996 01 2281.5
1995 12 3581.3
1995 11 9381.2
1995 10 9281.3
1995 09 5481·4
1995 08 8381.4
1995 07 4281·5
1995 06 5080·9
1995 05 1581.4
1995 04 8081.6
1995 03 281.9
1995 02 5481.8
1995 01 5181·6
1994 12 081·6
1994 11 8082.1
1994 10 4181·8
1994 09 2982·1
1994 08 4481.7
1994 07 881.5
1994 06 7380.9
1994 05 4581.5
1994 04 3781·1
1994 03 4281·7
1994 02 3981.9
1994 01 1882.2
1993 12 2982·1
1993 11 6482.3
1993 10 5282·1
1993 09 9181.8
1993 08 9781·7
1993 07 8081.5
1993 06 4981.5
1993 05 3481·4
1993 04 3981·2
1993 03 2381.2
1993 02 9481.1
1993 01 4081.1
1992 12 8381·0
1992 11 4881.1
1992 10 7381·3
1992 09 3081.5
1992 08 7781·9
1992 07 3881.8
1992 06 281·9
1992 05 4781·6
1992 04 9881·8
1992 03 081.3
1992 02 1681·2
1992 01 6081·0
1991 12 4680.7
1991 11 6380·6
1991 10 7981.0
1991 09 6481·2
1991 08 4781·2
1991 07 8781·4
1991 06 7981.1
1991 05 7781.0
1991 04 5081·2
1991 03 5181·2
1991 02 2881.0
1991 01 4480·7
1990 12 3080.7
1990 11 6381·1
1990 10 6680·9
1990 09 3480·9
1990 08 9080·7
1990 07 5580·8
1990 06 5480·8
1990 05 4180·6
1990 04 5380.5
1990 03 8280.4
1990 02 8080.7
1990 01 8480.7
1989 12 7180.7
1989 11 2781.0
1989 10 5780·6
1989 09 880·4
1989 08 1880·4
1989 07 9680·1
1989 06 2480.3
1989 05 8180·3
1989 04 9580·6
1989 03 2180·3
1989 02 4380.1
1989 01 9780.5
1988 12 2780.1
1988 11 5980.1
1988 10 279·7
1988 09 7679.7
1988 08 6679.8
1988 07 9179·6
1988 06 1379·2
1988 05 6279·5
1988 04 8579.4
1988 03 2379·3
1988 02 1679·4
1988 01 2579·2
1987 12 8679·1
1987 11 8878·8
1987 10 7278·8
1987 09 5778·6
1987 08 9478·6
1987 07 4278·5
1987 06 6978.6
1987 05 7878.7
1987 04 5978.2
1987 03 6778.3
1987 02 2178·2
1987 01 3378.0
1986 12 5878·3
1986 11 7078·2
1986 10 6678.4
1986 09 9178·2
1986 08 8978.0
1986 07 8178·2
1986 06 6578.2
1986 05 4577.7
1986 04 7977.7
1986 03 5877.7
1986 02 877.8
1986 01 1578.1
1985 12 7777.6
1985 11 8277·3
1985 10 677·2
1985 09 4577.4
1985 08 6077·4
1985 07 6076·9
1985 06 9976.9
1985 05 477·0
1985 04 2877.7
1985 03 2477·6
1985 02 4877.4
1985 01 8777.1
1984 12 676.9
1984 11 3076.9
1984 10 4276.6
1984 09 1176.6
1984 08 4477.0
1984 07 6076·8
1984 06 9476·6
1984 05 2376·5
1984 04 1876.4
1984 03 2076.2
1984 02 4175.7
1984 01 9075.9
1983 12 2976·2
1983 11 4276.0
1983 10 4676·5
1983 09 776.7
1983 08 176.8
1983 07 8476·3
1983 06 9776·1
1983 05 9375.6
1983 04 8575·7
1983 03 2575·5
1983 02 875.2
1983 01 9275·5
1982 12 5675·8
1982 11 7476·1
1982 10 1576.2
1982 09 7376·1
1982 08 1675.8
1982 07 6176.5
1982 06 8376.0
1982 05 3176·2
1982 04 8875.6
1982 03 4475·7
1982 02 9875·4
1982 01 8475.1
1981 12 2475.7
1981 11 475.8
1981 10 7475.5
1981 09 7774·9
1981 08 075·4
1981 07 4775·6
1981 06 4975.8
1981 05 7976.2
1981 04 1476.0
1981 03 675.9
1981 02 8475·8
1981 01 8475·7
1980 12 9375.3
1980 11 3775.1
1980 10 7075.1
1980 09 1075.3
1980 08 8875.1
1980 07 2174.9
1980 06 1774·9
1980 05 374.5
1980 04 7374.8
1980 03 6574·8
1980 02 6574.9
1980 01 3274·9
1979 12 4974.9
1979 11 174.4
1979 10 7674.4
1979 09 9074·5
1979 08 4174.5
1979 07 8674·4
1979 06 3773.6
1979 05 9673.4
1979 04 073·9
1979 03 074·5
1979 02 6374.4
1979 01 9674·3
1978 12 274.2
1978 11 5274·1
1978 10 9074·0
1978 09 5773·9
1978 08 4573.5
1978 07 7273·6
1978 06 8172·9
1978 05 7573.0
1978 04 5773·2
1978 03 1673·3
1978 02 2673.3
1978 01 6773.4
1977 12 8773·4
1977 11 6873·6
1977 10 3573·1
1977 09 7972.8
1977 08 1072·4
1977 07 3372.2
1977 06 4872.7
1977 05 8072·6
1977 04 2872·6
1977 03 4372.6
1977 02 2772.4
1977 01 6372·4
1976 12 6572.8
1976 11 5472.8
1976 10 6072.9
1976 09 4872.8
1976 08 7272.8
1976 07 4873·0
1976 06 5972.5
1976 05 7972·3
1976 04 2472·2
1976 03 3372.0
1976 02 6472.2
1976 01 2572·3
1975 12 2272.4
1975 11 3972.5
1975 10 3773·1
1975 09 8072.6
1975 08 9173·0
1975 07 2372.8
1975 06 6472·8
1975 05 6472.7
1975 04 8172.5
1975 03 6772.6
1975 02 6172.2
1975 01 2072.3
1974 12 6872·5
1974 11 7772.3
1974 10 6472·6
1974 09 1772·5
1974 08 5372·5
1974 07 8673·1
1974 06 3672·9
1974 05 5172.7
1974 04 6072.5
1974 03 4972.7
1974 02 6572.8
1974 01 3972.8
1973 12 3972.7
1973 11 4972·7
1973 10 6472.6
1973 09 2672.7
1973 08 6872·4
1973 07 9172.8
1973 06 7272·3
1973 05 8272.2
1973 04 4572.6
1973 03 872.3
1973 02 5072.3
1973 01 071·9
1972 12 9672.3
1972 11 5771·9
1972 10 8772.3
1972 09 9972·5
1972 08 7272·8
1972 07 1872.7
1972 06 9572.8
1972 05 2472·8
1972 04 4772·8
1972 03 9973·3
1972 02 1373·0
1972 01 4473·2
1971 12 2373·1
1971 11 3173·2
1971 10 373.0
1971 09 5373·2
1971 08 2573.3
1971 07 7173.1
1971 06 5473·3
1971 05 7073·4
1971 04 373.3
1971 03 173·1
1971 02 7873.4
1971 01 3873·5
1970 12 3273.6
1970 11 2673·6
1970 10 1373·6
1970 09 2973·3
1970 08 1373·5
1970 07 8073.7
1970 06 2173·5
1970 05 3473.2
1970 04 7173·5
1970 03 1873.7
1970 02 9273.3
1970 01 7573·7
1969 12 5773·6
1969 11 2173·7
1969 10 3773.7
1969 09 9473.5
1969 08 4773.3
1969 07 9873.1
1969 06 9573.0
1969 05 6173.2
1969 04 3973·1
1969 03 7973·2
1969 02 2973·4
1969 01 6973·1
1968 12 6172·9
1968 11 2072.7
1968 10 2672·6
1968 09 4072·7
1968 08 6172.5
1968 07 573·0
1968 06 9972·9
1968 05 1572·8
1968 04 1773.0
1968 03 3972.8
1968 02 8772.8
1968 01 6572.6
1967 12 2772.7
1967 11 5372.8
1967 10 5172.8
1967 09 8372.5
1967 08 1872.7
1967 07 572.6
1967 06 8172.6
1967 05 8972.6
1967 04 3972.7
1967 03 7672.3
1967 02 8872·8
1967 01 2772·9
1966 12 6772·7
1966 11 7373·2
1966 10 1173·0
1966 09 6673.1
1966 08 172·9
1966 07 2872·8
1966 06 1372.7
1966 05 172.7
1966 04 6772.4
1966 03 9772.4
1966 02 8172·4
1966 01 4972.4
1965 12 1672.2
1965 11 6172.5
1965 10 2972·3
1965 09 5672·3
1965 08 2272·7
1965 07 2873·0
1965 06 9472·8
1965 05 9072·5
1965 04 8772·3
1965 03 2872.3
1965 02 3972·3
1965 01 4672.7
1964 12 3572.7
1964 11 2072.3
1964 10 5272·7
1964 09 4373.0
1964 08 1772·8
1964 07 8372.6
1964 06 4772·5
1964 05 2673·2
1964 04 873.4
1964 03 2673.1
1964 02 6073·1
1964 01 6273.1
1963 12 972.9
1963 11 7972.8
1963 10 5572·6
1963 09 4672·3
1963 08 4572·3
1963 07 072·1
1963 06 1972.4
1963 05 9872.5
1963 04 6672.9
1963 03 6972·7
1963 02 6772·5
1963 01 6172.4
1962 12 4872.3
1962 11 9472.2
1962 10 3472.2
1962 09 572.4
1962 08 9272·5
1962 07 671.8
1962 06 8572·1
1962 05 2472·4
1962 04 2272·0
1962 03 6171.8
1962 02 772.1
1962 01 3772·2
1961 12 9072·0
1961 11 4272·1
1961 10 1472·4
1961 09 8871.9
1961 08 6971·8
1961 07 5672.3
1961 06 4272.6
1961 05 4672·4
1961 04 6272.0
1961 03 3272·3
1961 02 5571.7
1961 01 671.8
1960 12 9372.2
1960 11 3072·5
1960 10 4172·3
1960 09 8672·8
1960 08 1272·5
1960 07 2972·3
1960 06 1372·2
1960 05 3172·0
1960 04 9571.9
1960 03 3771.4
1960 02 872.5
1960 01 1071·7
1959 12 4372·0
1959 11 8571·6
1959 10 8971·7
1959 09 1671·4
1959 08 8171·8
1959 07 3072.3
1959 06 4572.6
1959 05 7071·9
1959 04 5872.1
1959 03 5371.8
1959 02 8971·4
1959 01 1571.7
1958 12 5271.5
1958 11 6271·1
1958 10 5771.9
1958 09 2171·6
1958 08 6172·2
1958 07 8871.9
1958 06 1371.8
1958 05 8071·5
1958 04 1171·4
1958 03 8771.1
1958 02 4671.2
1958 01 1471·0
1957 12 5471.1
1957 11 4171·0
1957 10 6771.1
1957 09 6570·9
1957 08 6370·5
1957 07 5771.4
1957 06 1570.8
1957 05 470.8
1957 04 4070·9
1957 03 6671·2
1957 02 5270·6
1957 01 2370·4
1956 12 1070·7
1956 11 2570·7
1956 10 6770·4
1956 09 4370·6
1956 08 2370·9
1956 07 1670.4
1956 06 7270·4
1956 05 770.5
1956 04 5570.3
1956 03 4570·5
1956 02 670.3
1956 01 8470.2
1955 12 570·4
1955 11 4570.2
1955 10 3070·3
1955 09 6969·8
1955 08 170·2
1955 07 7169·9
1955 06 3469·5
1955 05 8169·0
1955 04 9169·5
1955 03 569·0
1955 02 2969.0
1955 01 6469·1
1954 12 5168·5
1954 11 5468.9
1954 10 5568·9
1954 09 8768·7
1954 08 8267·7
1954 07 4968.1
1954 06 7368.7
1954 05 4468·6
1954 04 968·2
1954 03 4868·1
1954 02 7168.8
1954 01 5567·9
1953 12 8367·5
1953 11 3167·6
1953 10 6468·1
1953 09 6368·0
1953 08 7867.7
1953 07 668·6
1953 06 8767.8
1953 05 3767·2
1953 04 9668·5
1953 03 468.8
1953 02 569·2
1953 01 7368·2
1952 12 6167.8
1952 11 8167.5
1952 10 567.3
1952 09 8867·7
1952 08 2466.6
1952 07 2067·2
1952 06 067·5
1952 05 2767·2
1952 04 6067·3
1952 03 2768.2
1952 02 2867.9
1952 01 6067.8
1951 12 7167.9
1951 11 3467·7
1951 10 5267.2
1951 09 8067.3
1951 08 8067·9
1951 07 9768.1
1951 06 5966·5
1951 05 667.3
1951 04 3966.7
1951 03 9866.8
1951 02 6366·5
1951 01 8366·6
1950 12 2366.5
1950 11 4366.7
1950 10 266·9
1950 09 8066.3
1950 08 3266·3
1950 07 6566·3
1950 06 3866·9
1950 05 9066·3
1950 04 9266.2
1950 03 1965.9
1950 02 5965·6
1950 01 3465·7
1949 12 5365·8
1949 11 8866.1
1949 10 7966·1
1949 09 5565.6
1949 08 9065·5
1949 07 7865.5
1949 06 3465.0
1949 05 2265·3
1949 04 565·0
1949 03 2165·0
1949 02 8964·9
1949 01 3064.9
1948 12 2165.3
1948 11 7365·0
1948 10 3065.2
1948 09 9765·9
1948 08 9065·1
1948 07 1766.1
1948 06 7165·2
1948 05 6864.3
1948 04 8865.1
1948 03 5764·4
1948 02 5064.8
1948 01 1264.5
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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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