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 Series Title: Unemployment Rate: Married 20-64 years, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 1976 06 416·5
 1976 07 777·4
 1976 08 817.8
 1976 09 887·7
 1976 10 566·9
 1976 11 456·6
 1976 12 185·9
 1977 01  666·8
 1977 02  627·1
 1977 03  376·6
 1977 04  806·0
 1977 05  675·4
 1977 06  106.2
 1977 07  346·4
 1977 08  826.7
 1977 09  366.7
 1977 10  756·0
 1977 11  436.1
 1977 12  605.4
 1978 01 435·9
 1978 02 575.5
 1978 03 955.0
 1978 04 784·5
 1978 05 804·9
 1978 06 825.1
 1978 07 485.6
 1978 08 236·1
 1978 09 685.8
 1978 10 15.1
 1978 11 815.3
 1978 12 95.0
 1979 01  505·5
 1979 02  885·3
 1979 03  44·9
 1979 04  734·6
 1979 05  954.3
 1979 06  444·8
 1979 07  464.9
 1979 08  785·7
 1979 09  985.0
 1979 10  955·1
 1979 11  654.6
 1979 12  124·5
 1980 01 785·3
 1980 02 915.3
 1980 03 424·9
 1980 04 885.0
 1980 05 795.2
 1980 06 75·7
 1980 07 846.2
 1980 08 446·8
 1980 09 705·9
 1980 10 436.0
 1980 11 225·6
 1980 12 435·2
 1981 01  456.3
 1981 02  265·8
 1981 03  145.5
 1981 04  725·2
 1981 05  235·1
 1981 06  55.4
 1981 07  405.7
 1981 08  446·0
 1981 09  496.0
 1981 10  556·1
 1981 11  86.3
 1981 12  986·0
 1982 01 926·6
 1982 02 787.0
 1982 03 496·7
 1982 04 977·0
 1982 05 456·6
 1982 06 996·7
 1982 07 197·4
 1982 08 277.8
 1982 09 297·6
 1982 10 687.9
 1982 11 18.1
 1982 12 37.6
 1983 01  868.2
 1983 02  597·8
 1983 03  17·3
 1983 04  616·8
 1983 05  866·9
 1983 06  757.4
 1983 07  517.1
 1983 08  657·3
 1983 09  246·8
 1983 10  406.4
 1983 11  75.9
 1983 12  35.8
 1984 01 196·3
 1984 02 45·9
 1984 03 515.6
 1984 04 885·2
 1984 05 145.2
 1984 06 445.3
 1984 07 896·0
 1984 08 576·4
 1984 09 785.8
 1984 10 585.8
 1984 11 535·2
 1984 12 735·0
 1985 01  76.0
 1985 02  745.4
 1985 03  15.6
 1985 04  255·3
 1985 05  185·2
 1985 06  405.6
 1985 07  135·8
 1985 08  255.9
 1985 09  575.8
 1985 10  335.4
 1985 11  965·1
 1985 12  114·7
 1986 01 925.2
 1986 02 535·6
 1986 03 825·4
 1986 04 464·8
 1986 05 185·0
 1986 06 255.0
 1986 07 275·5
 1986 08 185.6
 1986 09 535.2
 1986 10 04·8
 1986 11 134·7
 1986 12 404.1
 1987 01  425.0
 1987 02  525.0
 1987 03  474.4
 1987 04  494.1
 1987 05  543·9
 1987 06  843·8
 1987 07  604·4
 1987 08  84·6
 1987 09  834·2
 1987 10  194.0
 1987 11  94·0
 1987 12  73.9
 1988 01 484.4
 1988 02 84.3
 1988 03 763·9
 1988 04 563·5
 1988 05 933·5
 1988 06 273.6
 1988 07 674·2
 1988 08 954·4
 1988 09 883.8
 1988 10 763.6
 1988 11 143.7
 1988 12 853·2
 1989 01  263.9
 1989 02  813.6
 1989 03  743·4
 1989 04  163·6
 1989 05  273·4
 1989 06  913.5
 1989 07  274.0
 1989 08  994.3
 1989 09  353·9
 1989 10  823·8
 1989 11  823·6
 1989 12  743·5
 1990 01 194·0
 1990 02 553·9
 1990 03 693·5
 1990 04 23·2
 1990 05 733.2
 1990 06 353·4
 1990 07 453.8
 1990 08 714.4
 1990 09 174.1
 1990 10 723.9
 1990 11 924·0
 1990 12 953·9
 1991 01  934·4
 1991 02  424.6
 1991 03  164.6
 1991 04  114.1
 1991 05  734.2
 1991 06  454·3
 1991 07  494·5
 1991 08  835.1
 1991 09  494·8
 1991 10  74·4
 1991 11  484.5
 1991 12  974·6
 1992 01 415.2
 1992 02 775·1
 1992 03 945.0
 1992 04 684.5
 1992 05 934.5
 1992 06 325.0
 1992 07 945·4
 1992 08 325·6
 1992 09 745.3
 1992 10 724.9
 1992 11 804.8
 1992 12 534·7
 1993 01  785.3
 1993 02  224.6
 1993 03  74.4
 1993 04  194·5
 1993 05  254·1
 1993 06  324.6
 1993 07  594·9
 1993 08  425·0
 1993 09  584.8
 1993 10  784.6
 1993 11  414·3
 1993 12  614·1
 1994 01 474.8
 1994 02 604·5
 1994 03 864.4
 1994 04 383·7
 1994 05 863·6
 1994 06 44.1
 1994 07 494.2
 1994 08 614·6
 1994 09 944.2
 1994 10 603·9
 1994 11 123.7
 1994 12 443.3
 1995 01  154·0
 1995 02  33·7
 1995 03  833.9
 1995 04  233.7
 1995 05  183.3
 1995 06  353.8
 1995 07  924·3
 1995 08  634.6
 1995 09  984·1
 1995 10  793·9
 1995 11  973·6
 1995 12  503.3
 1996 01 734·2
 1996 02 873·8
 1996 03 783·5
 1996 04 983.4
 1996 05 873.2
 1996 06 343.5
 1996 07 443·8
 1996 08 443·7
 1996 09 113.5
 1996 10 203·5
 1996 11 243·4
 1996 12 523.3
 1997 01  383.5
 1997 02  723.4
 1997 03  773·2
 1997 04  92·8
 1997 05  862.8
 1997 06  383.1
 1997 07  833.3
 1997 08  283.3
 1997 09  13·2
 1997 10  952.8
 1997 11  492.7
 1997 12  482.6
 1998 01 513·3
 1998 02 433·1
 1998 03 73.2
 1998 04 302.5
 1998 05 312.4
 1998 06 72.9
 1998 07 133·1
 1998 08 643.4
 1998 09 602.7
 1998 10 382.7
 1998 11 502.8
 1998 12 612.5
 1999 01  813·1
 1999 02  112·9
 1999 03  232·7
 1999 04  602·6
 1999 05  642.3
 1999 06  272·6
 1999 07  653.1
 1999 08  243.0
 1999 09  42·6
 1999 10  102.4
 1999 11  312.5
 1999 12  402·2
 2000 01 182.8
 2000 02 122·7
 2000 03 52.7
 2000 04 212.3
 2000 05 522·5
 2000 06 72.6
 2000 07 913·1
 2000 08 63.3
 2000 09 742·7
 2000 10 972·3
 2000 11 232.3
 2000 12 562.3
 2001 01  802.8
 2001 02  62.7
 2001 03  562·7
 2001 04  612.6
 2001 05  862·6
 2001 06  852.9
 2001 07  733·2
 2001 08  333·6
 2001 09  393.4
 2001 10  93·4
 2001 11  793.4
 2001 12  103.3
 2002 01 73.7
 2002 02 783·9
 2002 03 73·7
 2002 04 543·6
 2002 05 843.6
 2002 06 193.8
 2002 07 134.2
 2002 08 544·0
 2002 09 903·7
 2002 10 813·6
 2002 11 793·6
 2002 12 223.4
 2003 01  673.5
 2003 02  403.7
 2003 03  113.7
 2003 04  973.4
 2003 05  873.4
 2003 06  973·8
 2003 07  424.3
 2003 08  414.2
 2003 09  424.0
 2003 10  753·7
 2003 11  273.6
 2003 12  423·5
 2004 01 523.8
 2004 02 273·7
 2004 03 483.7
 2004 04 133·4
 2004 05 623·1
 2004 06 273·8
 2004 07 123·8
 2004 08 923·8
 2004 09 393.2
 2004 10 763.0
 2004 11 523.3
 2004 12 423·1
 2005 01  793.3
 2005 02  993.2
 2005 03  223.0
 2005 04  513.1
 2005 05  02·9
 2005 06  473.4
 2005 07  53.8
 2005 08  313.6
 2005 09  473·5
 2005 10  943.1
 2005 11  83.2
 2005 12  212·9
 2006 01 893.0
 2006 02 422.8
 2006 03 622.6
 2006 04 832·7
 2006 05 192·7
 2006 06 163·0
 2006 07 243.6
 2006 08 63·2
 2006 09 583.0
 2006 10 652·7
 2006 11 752.6
 2006 12 12.5
 2007 01  492·8
 2007 02  662·6
 2007 03  232·4
 2007 04  82.5
 2007 05  612.5
 2007 06  192·8
 2007 07  983·3
 2007 08  893.5
 2007 09  883·0
 2007 10  502·8
 2007 11  583.0
 2007 12  312.9
 2008 01 513·1
 2008 02 83·0
 2008 03 833·1
 2008 04 482.7
 2008 05 912·9
 2008 06 693.5
 2008 07 823.9
 2008 08 784.3
 2008 09 803.6
 2008 10 334.0
 2008 11 844·3
 2008 12 844·3
 2009 01  115.0
 2009 02  265·1
 2009 03  485·3
 2009 04  535·1
 2009 05  35.1
 2009 06  995·7
 2009 07  546.2
 2009 08  986.1
 2009 09  06·0
 2009 10  265·8
 2009 11  105.6
 2009 12  575.5
 2010 01 726·0
 2010 02 86·1
 2010 03 465·9
 2010 04 935.9
 2010 05 125.7
 2010 06 716·0
 2010 07 206.3
 2010 08 956·7
 2010 09 405·9
 2010 10 645·6
 2010 11 135·7
 2010 12 745.2
 2011 01  05·7
 2011 02  645·4
 2011 03  325·7
 2011 04  695.4
 2011 05  615.4
 2011 06  705.7
 2011 07  96·2
 2011 08  436.6
 2011 09  176.0
 2011 10  85.6
 2011 11  995·2
 2011 12  834·9
 2012 01 875.7


 2012 02 295.5
 2012 03 855.2
 2012 04 25·0
 2012 05 164.6
 2012 06 75.4
 2012 07 746.3
 2012 08 395·8
 2012 09 735·1
 2012 10 435·0
 2012 11 964·8
 2012 12 564·8
 2013 01  515.3
 2013 02  634.8
 2013 03  104.7
 2013 04  424·1
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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: Married 20-64 years, Women: NSA
   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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