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 Series Title: Unemployment Rate: White Men: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 667·4
 2012 03 507.4
 2012 02 307.4
 2012 01 07·5
 2011 12  827.6
 2011 11  987·9
 2011 10  748.5
 2011 09  638.3
 2011 08  18.4
 2011 07  828.5
 2011 06  568.6
 2011 05  628.4
 2011 04  758.5
 2011 03  838.3
 2011 02  908·4
 2011 01  428·5
 2010 12 789·1
 2010 11 89·7
 2010 10 139.3
 2010 09 719·4
 2010 08 129.5
 2010 07 909.4
 2010 06 889·4
 2010 05 449.4
 2010 04 010·0
 2010 03 849·7
 2010 02 39·8
 2010 01 799·9
 2009 12  959·9
 2009 11  7210·2
 2009 10  7110·4
 2009 09  2210.1
 2009 08  7110.0
 2009 07  609.7
 2009 06  309·8
 2009 05  409.7
 2009 04  289.1
 2009 03  828·9
 2009 02  428·3
 2009 01  287·7
 2008 12 927.2
 2008 11 926.7
 2008 10 966·3
 2008 09 65.9
 2008 08 145·6
 2008 07 735·5
 2008 06 45.1
 2008 05 175.0
 2008 04 684.6
 2008 03 324·6
 2008 02 44.5
 2008 01 314.6
 2007 12  564·4
 2007 11  994·3
 2007 10  604.2
 2007 09  414.4
 2007 08  24.3
 2007 07  324·3
 2007 06  594.2
 2007 05  684.0
 2007 04  574.0
 2007 03  133.9
 2007 02  144·2
 2007 01  544.3
 2006 12 964.1
 2006 11 473.9
 2006 10 633·8
 2006 09 693.7
 2006 08 204·1
 2006 07 674·1
 2006 06 684·1
 2006 05 84·2
 2006 04 544·1
 2006 03 304.0
 2006 02 184.2
 2006 01 894.1
 2005 12  484.2
 2005 11  164·2
 2005 10  264·3
 2005 09  574·5
 2005 08  794.2
 2005 07  324·2
 2005 06  294·2
 2005 05  804.4
 2005 04  454.4
 2005 03  114·6
 2005 02  914.7
 2005 01  544.6
 2004 12 744·7
 2004 11 84.7
 2004 10 984.9
 2004 09 964·8
 2004 08 144·9
 2004 07 64·8
 2004 06 655.1
 2004 05 515.3
 2004 04 425·2
 2004 03 115·2
 2004 02 295.0
 2004 01 895·0
 2003 12  575·2
 2003 11  555·6
 2003 10  535·4
 2003 09  35·6
 2003 08  865·8
 2003 07  945.9
 2003 06  245.9
 2003 05  125.6
 2003 04  795.7
 2003 03  105·3
 2003 02  575.4
 2003 01  615·5
 2002 12 105·4
 2002 11 105·5
 2002 10 875.3
 2002 09 195·3
 2002 08 815.3
 2002 07 245.4
 2002 06 795·3
 2002 05 805.2
 2002 04 175.3
 2002 03 115.2
 2002 02 215·1
 2002 01 635.2
 2001 12  675·1
 2001 11  525·1
 2001 10  254.9
 2001 09  124.4
 2001 08  94·4
 2001 07  524.1
 2001 06  294·1
 2001 05  973.9
 2001 04  413·9
 2001 03  443·8
 2001 02  963·8
 2001 01  113.8
 2000 12 893.5
 2000 11 853·4
 2000 10 143.4
 2000 09 743·4
 2000 08 53·4
 2000 07 563·4
 2000 06 953·3
 2000 05 303.3
 2000 04 623.3
 2000 03 643·3
 2000 02 783.5
 2000 01 473·4
 1999 12  623·4
 1999 11  403.3
 1999 10  263.5
 1999 09  213.5
 1999 08  303·8
 1999 07  413.6
 1999 06  273.7
 1999 05  703.7
 1999 04  163.6
 1999 03  493·4
 1999 02  933·8
 1999 01  383·7
 1998 12 963·8
 1998 11 703.7
 1998 10 623.9
 1998 09 954·0
 1998 08 703·9
 1998 07 363·9
 1998 06 973.9
 1998 05 353·8
 1998 04 633·6
 1998 03 44·0
 1998 02 863·9
 1998 01 763.9
 1997 12  263·9
 1997 11  544·0
 1997 10  424.2
 1997 09  634.1
 1997 08  354·2
 1997 07  954·2
 1997 06  34.2
 1997 05  653·9
 1997 04  894.3
 1997 03  574.4
 1997 02  324·4
 1997 01  774·6
 1996 12 144·4
 1996 11 984.6
 1996 10 164·4
 1996 09 164·5
 1996 08 614·4
 1996 07 984·7
 1996 06 684·6
 1996 05 294.9
 1996 04 44.9
 1996 03 654·9
 1996 02 284.9
 1996 01 834·9
 1995 12  454.9
 1995 11  295·1
 1995 10  564·8
 1995 09  724·9
 1995 08  84.9
 1995 07  494.8
 1995 06  414.9
 1995 05  175·2
 1995 04  445·0
 1995 03  54.8
 1995 02  974·7
 1995 01  614.9
 1994 12 284.9
 1994 11 34·8
 1994 10 615·1
 1994 09 725.1
 1994 08 625·3
 1994 07 775·5
 1994 06 955·3
 1994 05 475·3
 1994 04 695·7
 1994 03 825.7
 1994 02 885·9
 1994 01 25.9
 1993 12  16.0
 1993 11  995.8
 1993 10  536.3
 1993 09  836.2
 1993 08  336.3
 1993 07  366·5
 1993 06  276.5
 1993 05  606.4
 1993 04  656·4
 1993 03  256.5
 1993 02  736.5
 1993 01  246·5
 1992 12 236.7
 1992 11 216·9
 1992 10 806.9
 1992 09 977·1
 1992 08 577·1
 1992 07 77.0
 1992 06 607.4
 1992 05 237.2
 1992 04 426.9
 1992 03 897·0
 1992 02 517.0
 1992 01 696.9
 1991 12  806·8
 1991 11  986·7
 1991 10  166·6
 1991 09  316·7
 1991 08  956·5
 1991 07  926·7
 1991 06  436.5
 1991 05  276·4
 1991 04  376·3
 1991 03  526·5
 1991 02  456.1
 1991 01  35.8
 1990 12 825·8
 1990 11 855·5
 1990 10 595·3
 1990 09 265·1
 1990 08 315.0
 1990 07 224·8
 1990 06 494·6
 1990 05 914.7
 1990 04 94·8
 1990 03 204.5
 1990 02 24·5
 1990 01 174.6
 1989 12  664.6
 1989 11  614·6
 1989 10  324·5
 1989 09  494·7
 1989 08  774·4
 1989 07  514.3
 1989 06  754·3
 1989 05  554.3
 1989 04  444·4
 1989 03  224·2
 1989 02  964·4
 1989 01  304.7
 1988 12 914·7
 1988 11 304.6
 1988 10 824·7
 1988 09 924·8
 1988 08 694.9
 1988 07 574.6
 1988 06 454·6
 1988 05 864.7
 1988 04 524·6
 1988 03 114·9
 1988 02 254.7
 1988 01 825.0
 1987 12  434.9
 1987 11  215·0
 1987 10  835.2
 1987 09  725.1
 1987 08  655·2
 1987 07  465·3
 1987 06  75.6
 1987 05  775.5
 1987 04  705·6
 1987 03  675·8
 1987 02  115.8
 1987 01  405.9
 1986 12 335.9
 1986 11 906·0
 1986 10 336·0
 1986 09 316.1
 1986 08 545·8
 1986 07 476.2
 1986 06 346·2
 1986 05 436·2
 1986 04 586·0
 1986 03 946·1
 1986 02 46·1
 1986 01 965.5
 1985 12  965·8
 1985 11  145·8
 1985 10  546.0
 1985 09  355·9
 1985 08  436·1
 1985 07  136·3
 1985 06  246.5
 1985 05  275.9
 1985 04  16.1
 1985 03  236.0
 1985 02  756·1
 1985 01  686.2
 1984 12 936·2
 1984 11 996·2
 1984 10 966·2
 1984 09 766·3
 1984 08 706.2
 1984 07 256·2
 1984 06 996·1
 1984 05 956.3
 1984 04 96.6
 1984 03 66·7
 1984 02 236.8
 1984 01 967.0
 1983 12  97·3
 1983 11  747·6
 1983 10  308.1
 1983 09  718·4
 1983 08  958.6
 1983 07  868.5
 1983 06  98.9
 1983 05  409.3
 1983 04  199.5
 1983 03  239·6
 1983 02  719·7
 1983 01  479·4
 1982 12 559·9
 1982 11 9310.0
 1982 10 569.6
 1982 09 629·4
 1982 08 49.1
 1982 07 269·0
 1982 06 258·8
 1982 05 788.3
 1982 04 918·4
 1982 03 798.1
 1982 02 677.8
 1982 01 147·7
 1981 12  667.6
 1981 11  357.2
 1981 10  956·7
 1981 09  156.3
 1981 08  66.2
 1981 07  996.0
 1981 06  476.4
 1981 05  506.4
 1981 04  106.2
 1981 03  36.4
 1981 02  856·5
 1981 01  136·5
 1980 12 46·0
 1980 11 46·5
 1980 10 976·6
 1980 09 236.7
 1980 08 386·9
 1980 07 847·0
 1980 06 966·8
 1980 05 246.7
 1980 04 876·0
 1980 03 495.3
 1980 02 215·0
 1980 01 865·0
 1979 12  534.7
 1979 11  314.7
 1979 10  344·6
 1979 09  24.6
 1979 08  594·6
 1979 07  864.4
 1979 06  224.2
 1979 05  924.1
 1979 04  584.4
 1979 03  974.4
 1979 02  994.4
 1979 01  994.5
 1978 12 244.6
 1978 11 694.3
 1978 10 34.5
 1978 09 944.4
 1978 08 574·4
 1978 07 344·4
 1978 06 974.3
 1978 05 704.4
 1978 04 834.5
 1978 03 504.9
 1978 02 684.9
 1978 01 464.8
 1977 12  524.8
 1977 11  975.0
 1977 10  305.2
 1977 09  665·1
 1977 08  405.3
 1977 07  835.3
 1977 06  195.7
 1977 05  05·7
 1977 04  475·7
 1977 03  385.9
 1977 02  06·3
 1977 01  416.1
 1976 12 996.4
 1976 11 206.6
 1976 10 606.4
 1976 09 96·5
 1976 08 456.3
 1976 07 116.5
 1976 06 126·4
 1976 05 486·3
 1976 04 626.3
 1976 03 166.2
 1976 02 936·2
 1976 01 276.6
 1975 12  496·8
 1975 11  677.1
 1975 10  687.3
 1975 09  417.5
 1975 08  337·3
 1975 07  227.6
 1975 06  237.7
 1975 05  77·8
 1975 04  627·4
 1975 03  627·1
 1975 02  716·7
 1975 01  726·6
 1974 12 145·7
 1974 11 935.2
 1974 10 514·8
 1974 09 34.6
 1974 08 884.3
 1974 07 474.2
 1974 06 254.1
 1974 05 944.0
 1974 04 94·0
 1974 03 813.8
 1974 02 814·0
 1974 01 663.9
 1973 12  283·8
 1973 11  763·7
 1973 10  323·6
 1973 09  613.7
 1973 08  213.7
 1973 07  403.5
 1973 06  173.7
 1973 05  503.8
 1973 04  883·8
 1973 03  23·8
 1973 02  973·9
 1973 01  263.9
 1972 12 534.0
 1972 11 224.2
 1972 10 614·6
 1972 09 94.5
 1972 08 684.5
 1972 07 794.3
 1972 06 214.6
 1972 05 424.6
 1972 04 84.7
 1972 03 804.8
 1972 02 164·7
 1972 01 954.8
 1971 12  745.0
 1971 11  585.0
 1971 10  84.9
 1971 09  624·9
 1971 08  905.1
 1971 07  695·0
 1971 06  864.9
 1971 05  625.0
 1971 04  74.8
 1971 03  944·9
 1971 02  614·8
 1971 01  395.0
 1970 12 15.1
 1970 11 404.9
 1970 10 734.7
 1970 09 624·5
 1970 08 714·3
 1970 07 394.3
 1970 06 844·1
 1970 05 263·8
 1970 04 443.7
 1970 03 483·4
 1970 02 823.3
 1970 01 503·0
 1969 12  702·7
 1969 11  472·6
 1969 10  792·8
 1969 09  772.8
 1969 08  232·5
 1969 07  452·6
 1969 06  142·4
 1969 05  772.4
 1969 04  62·4
 1969 03  712·4
 1969 02  492·4
 1969 01  442.4
 1968 12 412·4
 1968 11 842·4
 1968 10 732·4
 1968 09 982.5
 1968 08 822·5
 1968 07 642·6
 1968 06 982.8
 1968 05 812.5
 1968 04 12·4
 1968 03 182·6
 1968 02 632·7
 1968 01 642·7
 1967 12  12·8
 1967 11  782·9
 1967 10  292.7
 1967 09  412.6
 1967 08  62·8
 1967 07  12.7
 1967 06  862.9
 1967 05  302.8
 1967 04  672.8
 1967 03  682·6
 1967 02  452.7
 1967 01  762.7
 1966 12 592·8
 1966 11 862·7
 1966 10 452.7
 1966 09 492.7
 1966 08 832·8
 1966 07 862.8
 1966 06 492·8
 1966 05 412.8
 1966 04 642.8
 1966 03 252.9
 1966 02 442.9
 1966 01 733.1
 1965 12  523·1
 1965 11  853·0
 1965 10  443.4
 1965 09  883·3
 1965 08  223·5
 1965 07  733·5
 1965 06  863·6
 1965 05  553·8
 1965 04  763.9
 1965 03  193.7
 1965 02  333.9
 1965 01  703.8
 1964 12 393·8
 1964 11 813.8
 1964 10 734.2
 1964 09 504·1
 1964 08 604.0
 1964 07 413·9
 1964 06 194.3
 1964 05 404.0
 1964 04 164.3
 1964 03 44.4
 1964 02 104·3
 1964 01 94.5
 1963 12  64.5
 1963 11  34·6
 1963 10  64.4
 1963 09  524·3
 1963 08  574.5
 1963 07  944·6
 1963 06  984.5
 1963 05  874.8
 1963 04  174.8
 1963 03  594.8
 1963 02  975·1
 1963 01  594.7
 1962 12 644.5
 1962 11 54.8
 1962 10 424·5
 1962 09 364.6
 1962 08 974·6
 1962 07 624·5
 1962 06 954·6
 1962 05 134.5
 1962 04 424.5
 1962 03 894.6
 1962 02 444·5
 1962 01 94.7
 1961 12  495·0
 1961 11  655·1
 1961 10  25·4
 1961 09  685·5
 1961 08  935.7
 1961 07  996.0
 1961 06  75·8
 1961 05  606.2
 1961 04  756.0
 1961 03  225·8
 1961 02  225.9
 1961 01  785.8
 1960 12 205·7
 1960 11 905.4
 1960 10 355·4
 1960 09 415·1
 1960 08 795.0
 1960 07 854·7
 1960 06 594·6
 1960 05 944.4
 1960 04 274.4
 1960 03 134·6
 1960 02 314·0
 1960 01 64·4
 1959 12  644.4
 1959 11  75.2
 1959 10  154·7
 1959 09  714·8
 1959 08  164.3
 1959 07  234·2
 1959 06  984.1
 1959 05  84.2
 1959 04  334.2
 1959 03  424.6
 1959 02  935.1
 1959 01  615.2
 1958 12 915.4
 1958 11 715.5
 1958 10 386·0
 1958 09 06.4
 1958 08 906·8
 1958 07 436·8
 1958 06 966·6
 1958 05 186.6
 1958 04 556·6
 1958 03 126·0
 1958 02 565.6
 1958 01 345·1
 1957 12  364.7
 1957 11  624·5
 1957 10  293·9
 1957 09  943.9
 1957 08  103.4
 1957 07  993·5
 1957 06  533.5
 1957 05  663·3
 1957 04  763.3
 1957 03  543·1
 1957 02  933.3
 1957 01  433·4
 1956 12 613.5
 1956 11 843.5
 1956 10 353.1
 1956 09 463.2
 1956 08 133.1
 1956 07 703·4
 1956 06 923·4
 1956 05 183.5
 1956 04 103.3
 1956 03 203·4
 1956 02 23.4
 1956 01 293.3
 1955 12  503·4
 1955 11  653·4
 1955 10  293·4
 1955 09  723·3
 1955 08  603·4
 1955 07  623·4
 1955 06  593.5
 1955 05  673·6
 1955 04  894.3
 1955 03  923.8
 1955 02  73·9
 1955 01  584.3
 1954 12 144·3
 1954 11 614·5
 1954 10 95·1
 1954 09 156.0
 1954 08 355.6
 1954 07 25.1
 1954 06 294.7
 1954 05 305·1
 1954 04 765·2
 1954 03 724·6
 1954 02 554.5
 1954 01 244.1
Economagic: Economic Chart Dispenser

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US Unemployment Rate: Alternative Measures of Labor Underutilization

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.
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      Example 1: Get Unemployment Rates for people in Computer jobs







      Example 2: Get Employment Data for Workers in the "Retail Trade" Industry







      Example 3: Get Population Level Data for Workers





 Series Title: Unemployment Rate: White Men: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

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