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 8681·8
2012 03 2981.9
2012 02 3881.8
2012 01 6181·8
2011 12 6781.6
2011 11 2981·4
2011 10 2281.5
2011 09 5181·6
2011 08 181.7
2011 07 1581·1
2011 06 9581·4
2011 05 2881·8
2011 04 4081.4
2011 03 6881.6
2011 02 6881.6
2011 01 3581.7
2010 12 5881.8
2010 11 9682·0
2010 10 8181.8
2010 09 4182.0
2010 08 5682.0
2010 07 3082.1
2010 06 9682·3
2010 05 4182·6
2010 04 6082.6
2010 03 2682.3
2010 02 182·3
2010 01 5482.2
2009 12 1981.9
2009 11 6682·1
2009 10 982·5
2009 09 2482.4
2009 08 1082.8
2009 07 5882·9
2009 06 5782.8
2009 05 2083.0
2009 04 3283·0
2009 03 3182.8
2009 02 983·1
2009 01 3582.8
2008 12 1182.9
2008 11 4483·0
2008 10 5382.9
2008 09 9083.3
2008 08 9783.5
2008 07 7883·1
2008 06 183·3
2008 05 2983.4
2008 04 6683·6
2008 03 3884.0
2008 02 9183.6
2008 01 2083·8
2007 12 1983.1
2007 11 5883.0
2007 10 8783.0
2007 09 5883·2
2007 08 8083.2
2007 07 9483·3
2007 06 7683.5
2007 05 6183.3
2007 04 9983.4
2007 03 2783.6
2007 02 7083·6
2007 01 7583·8
2006 12 5483.0
2006 11 6383.0
2006 10 983.3
2006 09 6883·0
2006 08 4282·8
2006 07 3683.1
2006 06 5482·9
2006 05 3483.0
2006 04 9182.8
2006 03 083·4
2006 02 9483·3
2006 01 9282·8
2005 12 5182.9
2005 11 3983·1
2005 10 4282.7
2005 09 8782.9
2005 08 9682·7
2005 07 5882·5
2005 06 3582·4
2005 05 8882.9
2005 04 2782·7
2005 03 8982.4
2005 02 3682·9
2005 01 8983.0
2004 12 7082·8
2004 11 8882·6
2004 10 3482.4
2004 09 882.6
2004 08 7682.8
2004 07 3983·0
2004 06 4082.7
2004 05 9182·8
2004 04 1882·6
2004 03 4682·8
2004 02 9482.5
2004 01 682.8
2003 12 9982·5
2003 11 4282.6
2003 10 5882.6
2003 09 4782.7
2003 08 4282.9
2003 07 8383·0
2003 06 1983·1
2003 05 3483.0
2003 04 083.2
2003 03 5283·0
2003 02 9183·3
2003 01 1083·0
2002 12 4683.3
2002 11 5482·7
2002 10 1283.6
2002 09 4683·6
2002 08 8283·8
2002 07 2183·6
2002 06 4483.6
2002 05 3483.9
2002 04 3284.1
2002 03 1084·1
2002 02 7584·0
2002 01 9483.8
2001 12 4884.1
2001 11 383·8
2001 10 1983.9
2001 09 7183.9
2001 08 484·1
2001 07 683.7
2001 06 1383·6
2001 05 3384.0
2001 04 183·9
2001 03 5084·4
2001 02 1984·8
2001 01 7584.6
2000 12 6484·5
2000 11 9384.4
2000 10 2783·9
2000 09 1583·9
2000 08 4484·6
2000 07 1784·6
2000 06 4884.7
2000 05 9885.0
2000 04 1785.3
2000 03 2785.0
2000 02 2284·7
2000 01 9385·0
1999 12 8184.2
1999 11 5584·8
1999 10 984·7
1999 09 9484·7
1999 08 6484.6
1999 07 5984·8
1999 06 084.5
1999 05 2084.5
1999 04 1584.3
1999 03 1984·4
1999 02 585·0
1999 01 1685·2
1998 12 1084.5
1998 11 4284.5
1998 10 6484.6
1998 09 5084·5
1998 08 4984·7
1998 07 6184.6
1998 06 3984.6
1998 05 1784·6
1998 04 5784.5
1998 03 3184·9
1998 02 1884.6
1998 01 3584.7
1997 12 8584.5
1997 11 3484·3
1997 10 1484·5
1997 09 5084·5
1997 08 884.6
1997 07 7784.5
1997 06 6584·6
1997 05 2984.3
1997 04 2784·5
1997 03 9184·1
1997 02 3383.9
1997 01 6884·2
1996 12 6784·5
1996 11 3484·4
1996 10 784.4
1996 09 8584.1
1996 08 7884.0
1996 07 8784·1
1996 06 083.6
1996 05 2583.9
1996 04 3783·7
1996 03 5683·9
1996 02 4984.1
1996 01 5684.0
1995 12 4283.8
1995 11 7384.1
1995 10 1783·8
1995 09 7384·0
1995 08 2084·0
1995 07 9583·9
1995 06 9283.7
1995 05 9583·8
1995 04 2184·1
1995 03 383.6
1995 02 8883.7
1995 01 6683·5
1994 12 2083.3
1994 11 483·7
1994 10 4183.5
1994 09 5583.3
1994 08 1883·3
1994 07 3082.7
1994 06 1582·7
1994 05 5782·9
1994 04 4183·1
1994 03 3783.0
1994 02 9883.2
1994 01 9083.0
1993 12 3783.6
1993 11 783·2
1993 10 383.3
1993 09 9883.3
1993 08 8483·2
1993 07 4683.3
1993 06 6783.5
1993 05 5283·3
1993 04 8183·1
1993 03 8783·2
1993 02 5382.9
1993 01 4483·3
1992 12 5483.5
1992 11 8583.7
1992 10 5083.6
1992 09 9483·8
1992 08 5383.7
1992 07 2483·6
1992 06 7084.0
1992 05 4784.0
1992 04 5383.8
1992 03 883·4
1992 02 5183·4
1992 01 7183.5
1991 12 5583.2
1991 11 7083.4
1991 10 5683.4
1991 09 6083·1
1991 08 8583.0
1991 07 6682·9
1991 06 7283·1
1991 05 3483·3
1991 04 9283.6
1991 03 7883.2
1991 02 1483·3
1991 01 3682.9
1990 12 5283.3
1990 11 1483·5
1990 10 1883·4
1990 09 3783·4
1990 08 6683·5
1990 07 383·4
1990 06 4883·4
1990 05 2983.7
1990 04 5983.7
1990 03 383.9
1990 02 9184.0
1990 01 3384·1
1989 12 8084·1
1989 11 9684.4
1989 10 6084·0
1989 09 9284·4
1989 08 783.6
1989 07 8983·8
1989 06 9383.5
1989 05 7583·4
1989 04 3883.6
1989 03 1283.5
1989 02 5483·6
1989 01 7783.7
1988 12 083·6
1988 11 2283·5
1988 10 3083.3
1988 09 1783·2
1988 08 4383.2
1988 07 283·2
1988 06 3383.2
1988 05 3983.3
1988 04 4183.4
1988 03 5883.3
1988 02 283.4
1988 01 1183.3
1987 12 9783·5
1987 11 2183·5
1987 10 083·3
1987 09 2983.2
1987 08 3483·4
1987 07 4883·5
1987 06 1583.3
1987 05 1183·3
1987 04 483·4
1987 03 2183.2
1987 02 5883.0
1987 01 282.9
1986 12 8183.1
1986 11 4683.4
1986 10 6983.0
1986 09 7083·1
1986 08 6782·8
1986 07 5682.9
1986 06 1183·0
1986 05 982·7
1986 04 8682·9
1986 03 682.9
1986 02 7082.5
1986 01 4082.6
1985 12 8982.8
1985 11 7882.6
1985 10 6182·7
1985 09 683·2
1985 08 5182·2
1985 07 7982.3
1985 06 2082.3
1985 05 7582·2
1985 04 7382·6
1985 03 4182.4
1985 02 1182.3
1985 01 4382.3
1984 12 8081·9
1984 11 2081·8
1984 10 2282·1
1984 09 2981.8
1984 08 2382.3
1984 07 9882.1
1984 06 6581.8
1984 05 7681.7
1984 04 7681·6
1984 03 8181.5
1984 02 7981.5
1984 01 5381·4
1983 12 4181·5
1983 11 281·6
1983 10 2681·2
1983 09 5681·6
1983 08 4281·4
1983 07 1681.3
1983 06 9481·5
1983 05 281.4
1983 04 3081·2
1983 03 680.9
1983 02 9680.8
1983 01 3781·0
1982 12 8181.4
1982 11 7881·1
1982 10 7181.2
1982 09 2981·3
1982 08 9581·3
1982 07 6381·0
1982 06 8081·0
1982 05 7281.0
1982 04 9780·9
1982 03 1980.9
1982 02 1280.9
1982 01 8680.7
1981 12 3780.4
1981 11 2780·8
1981 10 8080·7
1981 09 1480.3
1981 08 9280.4
1981 07 9380·4
1981 06 2180·5
1981 05 2780·8
1981 04 6180.5
1981 03 5080.5
1981 02 9980·0
1981 01 1780·1
1980 12 6979.8
1980 11 5379·9
1980 10 179.9
1980 09 480·0
1980 08 6879·9
1980 07 8579.9
1980 06 4079·7
1980 05 3380·1
1980 04 3280.3
1980 03 5380·0
1980 02 5580.2
1980 01 7280.2
1979 12 6379.6
1979 11 8779.4
1979 10 779.4
1979 09 1579·5
1979 08 8479.4
1979 07 4579.4
1979 06 8679.1
1979 05 8279·1
1979 04 4878·8
1979 03 778·9
1979 02 379.1
1979 01 1779·0
1978 12 2879.1
1978 11 8278·8
1978 10 9778.8
1978 09 8978·6
1978 08 2678.1
1978 07 078·4
1978 06 3078.3
1978 05 9278.3
1978 04 6778·3
1978 03 1778.1
1978 02 9177·7
1978 01 4677·4
1977 12 177·3
1977 11 1777.2
1977 10 9277.2
1977 09 9377·3
1977 08 477·2
1977 07 577·2
1977 06 7277·2
1977 05 476.9
1977 04 7676.9
1977 03 1376·7
1977 02 9376.4
1977 01 7376·1
1976 12 4276.2
1976 11 9776.1
1976 10 4275.9
1976 09 1876·0
1976 08 5476.0
1976 07 4076.1
1976 06 3475.9
1976 05 8575.7
1976 04 8575·6
1976 03 4775·3
1976 02 574.9
1976 01 4175·2
1975 12 3774·6
1975 11 5174·9
1975 10 2075.1
1975 09 8274·8
1975 08 3674.5
1975 07 974.6
1975 06 6474·6
1975 05 2674.4
1975 04 3074.3
1975 03 174·0
1975 02 5373·6
1975 01 1874.2
1974 12 9773·9
1974 11 3474·3
1974 10 2274.0
1974 09 2673·7
1974 08 3573.6
1974 07 4173.4
1974 06 3673·2
1974 05 4573·4
1974 04 7173·1
1974 03 7773·3
1974 02 8273.4
1974 01 9473·4
1973 12 5573.3
1973 11 2473.1
1973 10 7372.8
1973 09 1772·2
1973 08 6372·4
1973 07 9072.3
1973 06 4772.3
1973 05 8372·1
1973 04 9471·9
1973 03 571·9
1973 02 6771·9
1973 01 8671·4
1972 12 7571·2
1972 11 2770.9
1972 10 2171.1
1972 09 4671.0
1972 08 5570·9
1972 07 3671.0
1972 06 2171.1
1972 05 770·8
1972 04 1070·7
1972 03 4070·8
1972 02 670.6
1972 01 3770·3
1971 12 4070·2
1971 11 7070.3
1971 10 3870·2
1971 09 3270.2
1971 08 7169·8
1971 07 8369·7
1971 06 569.8
1971 05 969·8
1971 04 5369.5
1971 03 6169·8
1971 02 2169·7
1971 01 1369·7
1970 12 6269·7
1970 11 1070.0
1970 10 2369.6
1970 09 1469·2
1970 08 9769·9
1970 07 6170.0
1970 06 7369·9
1970 05 569.6
1970 04 8570.0
1970 03 7269.8
1970 02 6169·6
1970 01 669.5
1969 12 7569.3
1969 11 2468·8
1969 10 9869·2
1969 09 6169·2
1969 08 4469·4
1969 07 2369.2
1969 06 2369.3
1969 05 3868·9
1969 04 9069·0
1969 03 268·7
1969 02 9869.0
1969 01 3368·9
1968 12 4168.6
1968 11 1768.8
1968 10 1268·5
1968 09 6368.3
1968 08 4668·5
1968 07 4968·8
1968 06 7769·1
1968 05 7468·9
1968 04 8168.3
1968 03 668·4
1968 02 3168·4
1968 01 3467·9
1967 12 4568.9
1967 11 1968.8
1967 10 3769.1
1967 09 3868·8
1967 08 6568.5
1967 07 4468.3
1967 06 8468·1
1967 05 567.8
1967 04 9167·8
1967 03 6367·7
1967 02 8367.5
1967 01 7967·6
1966 12 9867·8
1966 11 8367.6
1966 10 7367·7
1966 09 2867.4
1966 08 8766·9
1966 07 3666·9
1966 06 1666.8
1966 05 4866·9
1966 04 8266.9
1966 03 7766·7
1966 02 166·4
1966 01 5767·0
1965 12 3566·8
1965 11 9066.6
1965 10 4166·5
1965 09 9966.4
1965 08 2166·4
1965 07 8066·6
1965 06 7366.4
1965 05 4466.6
1965 04 3966·1
1965 03 7866.5
1965 02 6066.3
1965 01 8666·3
1964 12 1766.0
1964 11 4365·9
1964 10 9065.5
1964 09 4465·5
1964 08 366·1
1964 07 5465·6
1964 06 7665.8
1964 05 6165·8
1964 04 7366.1
1964 03 2065.6
1964 02 5665.7
1964 01 865.5
1963 12 2965.8
1963 11 7166·3
1963 10 9365.7
1963 09 7865.7
1963 08 9465·5
1963 07 6565.9
1963 06 7465·7
1963 05 9066.1
1963 04 2065.7
1963 03 8265.1
1963 02 1365·0
1963 01 8964·9
1962 12 8164·9
1962 11 3065.1
1962 10 4765.0
1962 09 4465.6
1962 08 7965.8
1962 07 4065.0
1962 06 4065.0
1962 05 4864·9
1962 04 3964.9
1962 03 6965·5
1962 02 7965·6
1962 01 2265.4
1961 12 1065·2
1961 11 9865·7
1961 10 7765·9
1961 09 865.4
1961 08 6965.3
1961 07 3465.6
1961 06 7266.3
1961 05 7765.7
1961 04 1665.6
1961 03 965.6
1961 02 2765.2
1961 01 2265·5
1960 12 7665·7
1960 11 7965·6
1960 10 3065.6
1960 09 6366·0
1960 08 065·7
1960 07 2665·9
1960 06 9365·7
1960 05 4365·3
1960 04 6365·3
1960 03 5764·5
1960 02 5564.9
1960 01 3364·9
1959 12 6565·0
1959 11 364·5
1959 10 7965.1
1959 09 2565.0
1959 08 3164.9
1959 07 2264.9
1959 06 5264.9
1959 05 3965.3
1959 04 1365.1
1959 03 9365.2
1959 02 8764·9
1959 01 2065.1
1958 12 8665·2
1958 11 2565.2
1958 10 2265.2
1958 09 3665.1
1958 08 5065.3
1958 07 4864.9
1958 06 2064·9
1958 05 8165·1
1958 04 2965.3
1958 03 2164.7
1958 02 6964·6
1958 01 7564·9
1957 12 7665·1
1957 11 2365.1
1957 10 8265.1
1957 09 6265·0
1957 08 6564.8
1957 07 6265·2
1957 06 9765·0
1957 05 1164·8
1957 04 9664·8
1957 03 6964.8
1957 02 7664·7
1957 01 1664·5
1956 12 9564.7
1956 11 164·9
1956 10 764.9
1956 09 9664.9
1956 08 1264.8
1956 07 4064·8
1956 06 464.8
1956 05 9564·7
1956 04 2364.8
1956 03 9364·7
1956 02 564.7
1956 01 8465.5
1955 12 2965·1
1955 11 9064·5
1955 10 7164.9
1955 09 5464·9
1955 08 5365.0
1955 07 8965.0
1955 06 9164·8
1955 05 2764·6
1955 04 4864.8
1955 03 7164.5
1955 02 7964.3
1955 01 4564.4
1954 12 8763·5
1954 11 4363.8
1954 10 7163.6
1954 09 7964.1
1954 08 7364·1
1954 07 3664·0
1954 06 3164.2
1954 05 2164·8
1954 04 2965·3
1954 03 865.0
1954 02 4665·0
1954 01 9264.6
1953 12 764·4
1953 11 4064.7
1953 10 3064·2
1953 09 3663.8
1953 08 8163.3
1953 07 3764·2
1953 06 2163·9
1953 05 2163.3
1953 04 5364·1
1953 03 3364.0
1953 02 8064·1
1953 01 4264.7
1952 12 4864·7
1952 11 8464.5
1952 10 9764·5
1952 09 1865·0
1952 08 1564·7
1952 07 7164.5
1952 06 8464·7
1952 05 9364·8
1952 04 3164·5
1952 03 164.5
1952 02 7965.0
1952 01 3664.8
1951 12 9564·8
1951 11 664·4
1951 10 4464·8
1951 09 4164.6
1951 08 3464.2
1951 07 4264.2
1951 06 6863.3
1951 05 2864·0
1951 04 9763.9
1951 03 9164.2
1951 02 6464·0
1951 01 4164.2
1950 12 6063·5
1950 11 5963.6
1950 10 7063.5
1950 09 4863·5
1950 08 2463·7
1950 07 7963·7
1950 06 4864·3
1950 05 4463·7
1950 04 1363·4
1950 03 662.9
1950 02 8662.6
1950 01 4862.9
1949 12 7862·9
1949 11 2363.2
1949 10 9763·8
1949 09 563.2
1949 08 9563.3
1949 07 3663·3
1949 06 1963.5
1949 05 8263·5
1949 04 6463.0
1949 03 7763.2
1949 02 1663.2
1949 01 7662·9
1948 12 963·3
1948 11 263·6
1948 10 7463.5
1948 09 363·6
1948 08 8363.2
1948 07 9463.6
1948 06 763·1
1948 05 1062·5
1948 04 6063·0
1948 03 5862·1
1948 02 5262.5
1948 01 6462·5
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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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