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 Series Title: Unemployment Rate: White Women: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 97.4
 2012 03 577·1
 2012 02 287.3
 2012 01 637.3
 2011 12  277.2
 2011 11  867.3
 2011 10  97.4
 2011 09  937.5
 2011 08  187.5
 2011 07  217.6
 2011 06  967.5
 2011 05  277·5
 2011 04  317·5
 2011 03  417.4
 2011 02  47·6
 2011 01  117.5
 2010 12 437.7
 2010 11 558·0
 2010 10 707.8
 2010 09 127.7
 2010 08 547·6
 2010 07 937·6
 2010 06 577·6
 2010 05 268.0
 2010 04 887·9
 2010 03 137.8
 2010 02 527·8
 2010 01 727·4
 2009 12  987·9
 2009 11  957·9
 2009 10  697.9
 2009 09  937.6
 2009 08  577.6
 2009 07  477·5
 2009 06  467.5
 2009 05  597·3
 2009 04  676·9
 2009 03  07·0
 2009 02  456.6
 2009 01  646.4
 2008 12 526.1
 2008 11 115·6
 2008 10 545.3
 2008 09 274.8
 2008 08 635.3
 2008 07 624·8
 2008 06 864.7
 2008 05 914·6
 2008 04 764.2
 2008 03 594.4
 2008 02 804·2
 2008 01 284.2
 2007 12  914·4
 2007 11  334·1
 2007 10  974.0
 2007 09  304.0
 2007 08  334·1
 2007 07  424.1
 2007 06  263.9
 2007 05  163.8
 2007 04  523.9
 2007 03  673·7
 2007 02  803·8
 2007 01  314.1
 2006 12 253·8
 2006 11 154·0
 2006 10 973·9
 2006 09 444.1
 2006 08 514·1
 2006 07 164·1
 2006 06 394.0
 2006 05 493·9
 2006 04 564·0
 2006 03 294·0
 2006 02 954.1
 2006 01 654·2
 2005 12  914.3
 2005 11  354·3
 2005 10  774.6
 2005 09  374.4
 2005 08  304·2
 2005 07  404·3
 2005 06  234·4
 2005 05  334.5
 2005 04  744·4
 2005 03  754.3
 2005 02  964·4
 2005 01  474·3
 2004 12 484·4
 2004 11 984·5
 2004 10 844·4
 2004 09 994·5
 2004 08 34.5
 2004 07 914.7
 2004 06 04.9
 2004 05 334.5
 2004 04 144·7
 2004 03 595·1
 2004 02 814.8
 2004 01 195·0
 2003 12  824.8
 2003 11  354·7
 2003 10  924.8
 2003 09  494.9
 2003 08  324·9
 2003 07  744.8
 2003 06  194.9
 2003 05  435·1
 2003 04  144.8
 2003 03  604·9
 2003 02  754·8
 2003 01  464·7
 2002 12 44.8
 2002 11 974.7
 2002 10 994.9
 2002 09 274·8
 2002 08 24.8
 2002 07 194·9
 2002 06 524·9
 2002 05 795.0
 2002 04 345·0
 2002 03 824.8
 2002 02 244·9
 2002 01 224.9
 2001 12  495.0
 2001 11  674.7
 2001 10  274·5
 2001 09  04·3
 2001 08  244.2
 2001 07  804·0
 2001 06  993·8
 2001 05  833.8
 2001 04  583.8
 2001 03  553.7
 2001 02  33·7
 2001 01  633.5
 2000 12 783·5
 2000 11 463·5
 2000 10 263·4
 2000 09 613.6
 2000 08 333·8
 2000 07 363·7
 2000 06 823.6
 2000 05 213·7
 2000 04 993·5
 2000 03 323.8
 2000 02 83·6
 2000 01 113·5
 1999 12  763.5
 1999 11  653.6
 1999 10  673.6
 1999 09  263.8
 1999 08  903.6
 1999 07  923·8
 1999 06  483.9
 1999 05  853.7
 1999 04  914·1
 1999 03  943.8
 1999 02  633.8
 1999 01  323·9
 1998 12 543·9
 1998 11 783.9
 1998 10 504·0
 1998 09 363.8
 1998 08 804·0
 1998 07 763·8
 1998 06 723·9
 1998 05 923·8
 1998 04 953·8
 1998 03 454·0
 1998 02 164.0
 1998 01 184.1
 1997 12  483·9
 1997 11  653·8
 1997 10  964.0
 1997 09  594·3
 1997 08  154.2
 1997 07  444·2
 1997 06  504·2
 1997 05  844·4
 1997 04  964·2
 1997 03  134·4
 1997 02  404·5
 1997 01  874.4
 1996 12 174.9
 1996 11 294·7
 1996 10 554·5
 1996 09 864·4
 1996 08 284.5
 1996 07 744.7
 1996 06 74·5
 1996 05 284·9
 1996 04 54·8
 1996 03 544·6
 1996 02 344.8
 1996 01 795·0
 1995 12  484·9
 1995 11  04.8
 1995 10  994.9
 1995 09  354.8
 1995 08  824·8
 1995 07  705·0
 1995 06  904.9
 1995 05  154·9
 1995 04  585·1
 1995 03  464.7
 1995 02  194·7
 1995 01  624.7
 1994 12 514.6
 1994 11 334.8
 1994 10 264.9
 1994 09 475·2
 1994 08 615·2
 1994 07 635.1
 1994 06 725.3
 1994 05 625·1
 1994 04 155·4
 1994 03 935.5
 1994 02 455.5
 1994 01 285.5
 1993 12  625.5
 1993 11  65.6
 1993 10  596.0
 1993 09  885·7
 1993 08  775.5
 1993 07  65.6
 1993 06  515.8
 1993 05  115·9
 1993 04  615.8
 1993 03  265·7
 1993 02  845·9
 1993 01  936·0
 1992 12 406·1
 1992 11 236·0
 1992 10 466.1
 1992 09 516·3
 1992 08 646.2
 1992 07 786·3
 1992 06 516·2
 1992 05 305·9
 1992 04 86·0
 1992 03 986·0
 1992 02 346.0
 1992 01 995·8
 1991 12  736.0
 1991 11  155.8
 1991 10  615.7
 1991 09  525·5
 1991 08  835.7
 1991 07  855.6
 1991 06  185·8
 1991 05  85·8
 1991 04  905·4
 1991 03  895·5
 1991 02  195·3
 1991 01  135.4
 1990 12 695.0
 1990 11 355·0
 1990 10 14.9
 1990 09 334.9
 1990 08 204.7
 1990 07 544.6
 1990 06 284.5
 1990 05 654.6
 1990 04 694.7
 1990 03 34.5
 1990 02 864.6
 1990 01 264.6
 1989 12  664.6
 1989 11  634.5
 1989 10  904.5
 1989 09  624.3
 1989 08  864·6
 1989 07  414.8
 1989 06  764.7
 1989 05  404·6
 1989 04  304.5
 1989 03  694.3
 1989 02  94·1
 1989 01  564·5
 1988 12 234·5
 1988 11 34.6
 1988 10 754·6
 1988 09 294·7
 1988 08 154·7
 1988 07 254.7
 1988 06 884.6
 1988 05 24·6
 1988 04 834·6
 1988 03 414·6
 1988 02 855.1
 1988 01 454.9
 1987 12  254·9
 1987 11  845·0
 1987 10  305.1
 1987 09  515·1
 1987 08  695·0
 1987 07  95.0
 1987 06  95.1
 1987 05  415·2
 1987 04  635·3
 1987 03  995.5
 1987 02  385.5
 1987 01  585.6
 1986 12 845·6
 1986 11 615.9
 1986 10 526·0
 1986 09 715·9
 1986 08 325.9
 1986 07 246·0
 1986 06 156·2
 1986 05 756·2
 1986 04 336·3
 1986 03 486.3
 1986 02 156·6
 1986 01 886.0
 1985 12  356·2
 1985 11  126·0
 1985 10  646·2
 1985 09  556·3
 1985 08  166.3
 1985 07  246.4
 1985 06  26.6
 1985 05  456.5
 1985 04  766·5
 1985 03  166.5
 1985 02  906.3
 1985 01  526.6
 1984 12 396.4
 1984 11 436·2
 1984 10 166·6
 1984 09 956.5
 1984 08 576.7
 1984 07 886.4
 1984 06 936.4
 1984 05 196.5
 1984 04 46·7
 1984 03 576·7
 1984 02 606·7
 1984 01 926.7
 1983 12  816·9
 1983 11  827·0
 1983 10  797.1
 1983 09  87·4
 1983 08  137.7
 1983 07  207.7
 1983 06  388.6
 1983 05  878·1
 1983 04  518.2
 1983 03  528·4
 1983 02  498.6
 1983 01  738·8
 1982 12 719.3
 1982 11 849.1
 1982 10 528.7
 1982 09 358.4
 1982 08 728·2
 1982 07 498·4
 1982 06 88.1
 1982 05 688.1
 1982 04 808·2
 1982 03 37.8
 1982 02 57·8
 1982 01 897·5
 1981 12  457.5
 1981 11  287.4
 1981 10  577.1
 1981 09  447·0
 1981 08  446·5
 1981 07  316·8
 1981 06  26·7
 1981 05  26.8
 1981 04  756.7
 1981 03  426.6
 1981 02  16·7
 1981 01  567.0
 1980 12 656.7
 1980 11 196·6
 1980 10 446·7
 1980 09 266.5
 1980 08 636.9
 1980 07 436.8
 1980 06 426.7
 1980 05 566·6
 1980 04 466·3
 1980 03 216·0
 1980 02 356·2
 1980 01 156·1
 1979 12  146.0
 1979 11  855.9
 1979 10  846·0
 1979 09  985.9
 1979 08  926.2
 1979 07  915·7
 1979 06  785·9
 1979 05  225.8
 1979 04  305.9
 1979 03  216·0
 1979 02  306·0
 1979 01  346.0
 1978 12 46.1
 1978 11 816·1
 1978 10 765·8
 1978 09 16.3
 1978 08 156·2
 1978 07 36·5
 1978 06 826.2
 1978 05 186·3
 1978 04 876.3
 1978 03 456·1
 1978 02 336.3
 1978 01 46·6
 1977 12  716·5
 1977 11  867·0
 1977 10  447·0
 1977 09  37.2
 1977 08  427·2
 1977 07  357.1
 1977 06  517·5
 1977 05  847·1
 1977 04  27.5
 1977 03  227·8
 1977 02  197·7
 1977 01  427.7
 1976 12 747.8
 1976 11 57.9
 1976 10 347.9
 1976 09 957·8
 1976 08 108.2
 1976 07 657.9
 1976 06 107·6
 1976 05 887.4
 1976 04 857·8
 1976 03 87·8
 1976 02 848·0
 1976 01 908·1
 1975 12  08.4
 1975 11  678·2
 1975 10  208.4
 1975 09  948.1
 1975 08  798.4
 1975 07  978.7
 1975 06  68·8
 1975 05  219.3
 1975 04  749.0
 1975 03  828·8
 1975 02  538.5
 1975 01  148.6
 1974 12 597.5
 1974 11 267·2
 1974 10 16·3
 1974 09 436·7
 1974 08 356·0
 1974 07 626.0
 1974 06 126.0
 1974 05 15·7
 1974 04 275.5
 1974 03 475·6
 1974 02 735·6
 1974 01 75.6
 1973 12  865.5
 1973 11  615·3
 1973 10  995·1
 1973 09  75.3
 1973 08  875.3
 1973 07  135·2
 1973 06  265.3
 1973 05  685·2
 1973 04  315.4
 1973 03  325·3
 1973 02  175·5
 1973 01  865·5
 1972 12 435·5
 1972 11 775·4
 1972 10 615·9
 1972 09 786·0
 1972 08 736.2
 1972 07 296.3
 1972 06 716.1
 1972 05 906·1
 1972 04 966·2
 1972 03 946.0
 1972 02 845·7
 1972 01 915·9
 1971 12  146·2
 1971 11  36·6
 1971 10  636·2
 1971 09  746·3
 1971 08  516.4
 1971 07  156·2
 1971 06  966·4
 1971 05  596·2
 1971 04  586.4
 1971 03  96.5
 1971 02  956·2
 1971 01  906·4
 1970 12 106·4
 1970 11 946.4
 1970 10 05·9
 1970 09 365.8
 1970 08 85.4
 1970 07 05.3
 1970 06 725.1
 1970 05 915·3
 1970 04 774·9
 1970 03 845.1
 1970 02 04.7
 1970 01 754·5
 1969 12  674.2
 1969 11  284.1
 1969 10  974·5
 1969 09  314·4
 1969 08  544·3
 1969 07  384.0
 1969 06  04.3
 1969 05  284.2
 1969 04  394·2
 1969 03  474.1
 1969 02  724.2
 1969 01  624.0
 1968 12 464.1
 1968 11 104.1
 1968 10 14·0
 1968 09 504·0
 1968 08 254.3
 1968 07 104.4
 1968 06 04·4
 1968 05 374·2
 1968 04 544·2
 1968 03 524.3
 1968 02 84.5
 1968 01 934·3
 1967 12  314.5
 1967 11  694.6
 1967 10  865·0
 1967 09  114.6
 1967 08  824.5
 1967 07  184·5
 1967 06  234·6
 1967 05  104.4
 1967 04  574·4
 1967 03  794·5
 1967 02  314·5
 1967 01  354.7
 1966 12 334.2
 1966 11 604.1
 1966 10 494.3
 1966 09 554.0
 1966 08 94.2
 1966 07 924·3
 1966 06 394·4
 1966 05 644.7
 1966 04 114.3
 1966 03 324.3
 1966 02 904.1
 1966 01 814.4
 1965 12  884.6
 1965 11  625.0
 1965 10  144·5
 1965 09  494·8
 1965 08  184.9
 1965 07  874.6
 1965 06  485.2
 1965 05  404.9
 1965 04  995·3
 1965 03  415·3
 1965 02  575.8
 1965 01  455·3
 1964 12 575·7
 1964 11 785·4
 1964 10 285·4
 1964 09 865.2
 1964 08 435·3
 1964 07 825·1
 1964 06 735.5
 1964 05 55·5
 1964 04 335.8
 1964 03 595.8
 1964 02 316·0
 1964 01 715.9
 1963 12  255·8
 1963 11  405.9
 1963 10  655.7
 1963 09  805.8
 1963 08  475·6
 1963 07  815.9
 1963 06  625.8
 1963 05  506.0
 1963 04  475.6
 1963 03  665·5
 1963 02  355.7
 1963 01  265·7
 1962 12 35.4
 1962 11 995.6
 1962 10 235·5
 1962 09 765.7
 1962 08 135.7
 1962 07 145.4
 1962 06 875·1
 1962 05 945·3
 1962 04 45.2
 1962 03 665·4
 1962 02 175·4
 1962 01 05·8
 1961 12  255.7
 1961 11  376·0
 1961 10  246.5
 1961 09  386·6
 1961 08  536·4
 1961 07  347.0
 1961 06  476.9
 1961 05  776·6
 1961 04  876·7
 1961 03  896·8
 1961 02  496·7
 1961 01  116.2
 1960 12 536.4
 1960 11 585·7
 1960 10 175.8
 1960 09 605·2
 1960 08 25.4
 1960 07 225.3
 1960 06 655.1
 1960 05 674·9
 1960 04 85·0
 1960 03 895.3
 1960 02 305.0
 1960 01 15·2
 1959 12  735·3
 1959 11  895.5
 1959 10  755.5
 1959 09  575·2
 1959 08  215.1
 1959 07  815.2
 1959 06  885.1
 1959 05  545·1
 1959 04  25·6
 1959 03  445.4
 1959 02  835.5
 1959 01  365·4
 1958 12 945.6
 1958 11 875.6
 1958 10 966.0
 1958 09 736·3
 1958 08 956.7
 1958 07 406·6
 1958 06 916.6
 1958 05 576·8
 1958 04 316·8
 1958 03 615·8
 1958 02 556.0
 1958 01 95·5
 1957 12  524.8
 1957 11  304·8
 1957 10  34.3
 1957 09  724·1
 1957 08  344.2
 1957 07  554·2
 1957 06  704·3
 1957 05  164.3
 1957 04  783·9
 1957 03  674·0
 1957 02  214.1
 1957 01  354.4
 1956 12 84·3
 1956 11 224.3
 1956 10 433·9
 1956 09 484.0
 1956 08 764·1
 1956 07 34·9
 1956 06 504.2
 1956 05 994·4
 1956 04 554·2
 1956 03 164.5
 1956 02 784·0
 1956 01 574·1
 1955 12  484·4
 1955 11  934·1
 1955 10  914·5
 1955 09  174·5
 1955 08  794.1
 1955 07  914.0
 1955 06  774.3
 1955 05  974.1
 1955 04  984·2
 1955 03  904·4
 1955 02  494.5
 1955 01  424·9
 1954 12 814.7
 1954 11 985·0
 1954 10 445·3
 1954 09 215·7
 1954 08 295.6
 1954 07 465.8
 1954 06 255.5
 1954 05 275·7
 1954 04 676·1
 1954 03 916·0
 1954 02 815·8
 1954 01 815.7
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.
or alter the examples after this blank template.







      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 Women: 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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