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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 20-24 years, Women: NSA
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 2012 04 90
 2012 03 360.
 2012 02 573·
 2012 01 185·
 2011 12  106.
 2011 11  234·
 2011 10  527.
 2011 09  190·
 2011 08  28
 2011 07  41
 2011 06  791.
 2011 05  495.
 2011 04  938.
 2011 03  70
 2011 02  5215.
 2011 01  539·
 2010 12 829.
 2010 11 175.
 2010 10 74·
 2010 09 0
 2010 08 940·
 2010 07 13
 2010 06 80·
 2010 05 854·
 2010 04 560.
 2010 03 160.
 2010 02 430.
 2010 01 261.
 2009 12  174.
 2009 11  713.
 2009 10  245.
 2009 09  684·
 2009 08  540.
 2009 07  920·
 2009 06  900.
 2009 02  800·
 2009 01  651.
 2008 08 34.
 2008 07 4
 2008 06 553.
 2008 05 779·
 2008 04 984·
 2008 03 524.
 2008 02 144.
 2008 01 415·
 2007 12  563.
 2007 08  491·
 2007 07  995.
 2007 06  306.
 2007 05  864·
 2007 03  323·
 2007 02  811.
 2007 01  470.
 2006 12 194·
 2006 11 646.
 2006 10 544·
 2006 09 161.
 2006 08 111·
 2006 07 333·
 2006 06 365·
 2006 05 881.
 2006 03 443·
 2006 02 518.
 2006 01 725·
 2005 12  373·
 2005 11  255·
 2005 10  57
 2005 09  300.
 2005 08  663·
 2005 07  853.
 2005 05  143·
 2005 03  63·
 2005 02  986·
 2005 01  813.
 2004 12 93.
 2004 11 183.
 2004 10 841.
 2004 08 953·
 2004 07 552.
 2004 06 102.
 2004 04 06.
 2004 03 336·
 2004 02 9016·
 2004 01 523·
 2003 12  451·
 2003 10  270.
 2003 09  780.
 2003 08  370·
 2003 07  47
 2003 06  335.
 2003 05  62·
 2003 03  852.
 2003 01  541.
 2002 12 33
 2002 11 866.
 2002 10 408·
 2002 09 423.
 2002 08 355.
 2002 04 571·
 2002 03 711·
 2002 02 123.
 2002 01 692·
 2001 12  822.
 2001 10  716.
 2001 09  891·
 2001 08  921.
 2001 07  482·
 2001 06  62
 2001 03  235·
 2000 12 853.
 2000 11 694.
 2000 10 853·
 2000 08 902·
 2000 07 561.
 2000 06 82
 2000 05 122·
 2000 03 90
 1999 11  362.
 1999 10  505.
 1999 09  351.
 1999 08  482.
 1999 07  822.
 1999 06  627·
 1999 03  733·
 1999 02  159·
 1999 01  753.
 1998 12 292·
 1998 11 724.
 1998 10 674.
 1998 09 223.
 1998 08 906·
 1998 07 05.
 1998 06 43.
 1998 05 546.
 1998 04 83.
 1998 03 513·
 1998 02 502·
 1998 01 296.
 1997 12  710.
 1997 11  453.
 1997 10  577.
 1997 09  288.
 1997 08  9112·
 1997 07  252.
 1997 06  05·
 1997 05  573·
 1997 04  73.
 1997 03  613.
 1997 02  79
 1997 01  483.
 1996 12 811.
 1996 11 472·
 1996 10 204·
 1996 09 5810·
 1996 08 119·
 1996 05 111.
 1996 04 736.
 1996 03 682.
 1996 02 802·
 1995 12  693.
 1995 11  130·
 1995 10  861.
 1995 09  572.
 1995 08  197·
 1995 07  419·
 1995 06  427.
 1995 05  935.
 1995 04  46
 1995 03  837.
 1995 02  935.
 1995 01  773·
 1994 12 681.
 1994 11 882.
 1994 10 221.
 1994 09 224.
 1994 08 295.
 1994 07 317.
 1994 06 348.
 1994 05 654·
 1994 04 0
 1994 03 158.
 1994 01 61
 1993 12  70
 1993 11  738·
 1993 10  634.
 1993 09  615·
 1993 08  248·
 1993 07  693·
 1993 06  266.
 1993 05  145·
 1993 04  404.
 1993 03  3112.
 1993 02  801·
 1993 01  279·
 1992 12 563·
 1992 11 287.
 1992 10 255·
 1992 09 316·
 1992 08 367.
 1992 07 5521.
 1992 06 8614·
 1992 05 8515·
 1992 04 6620.
 1992 03 305.
 1992 02 145·
 1992 01 6811.
 1991 12  6011·
 1991 11  9817·
 1991 10  8314·
 1991 09  88
 1991 08  562·
 1991 07  2814·
 1991 06  967.
 1991 05  778.
 1991 04  168·
 1991 03  1412·
 1991 02  76
 1991 01  904·
 1990 12 296.
 1990 11 767.
 1990 10 758·
 1990 09 1110·
 1990 08 86.
 1990 07 576·
 1990 06 677·
 1990 05 4418·
 1990 04 8916.
 1990 03 269·
 1990 02 5413.
 1990 01 2311.
 1989 12  378·
 1989 11  788·
 1989 10  594.
 1989 09  33·
 1989 08  38
 1989 07  312.
 1989 06  355·
 1989 05  66
 1989 04  76.
 1989 03  3116·
 1989 02  5611·
 1989 01  208·
 1988 12 802·
 1988 11 464·
 1988 08 233·
 1988 07 949.
 1988 06 2215·
 1988 05 706.
 1988 04 6012·
 1988 03 47
 1988 02 186.
 1988 01 227·
 1987 12  1912.
 1987 11  6015·
 1987 10  838·
 1987 09  4713.
 1987 08  756.
 1987 07  3911.
 1987 06  5516.
 1987 05  138.
 1987 04  288.
 1987 03  164.
 1987 02  9612.
 1987 01  1511·
 1986 12 417·
 1986 11 4815.
 1986 10 9412.
 1986 09 735·
 1986 08 5311·
 1986 07 1710.
 1986 06 6212·
 1986 05 2911·
 1986 04 50
 1986 03 286.
 1986 02 388.
 1986 01 5319.
 1985 12  9517·
 1985 11  1416·
 1985 10  8510·
 1985 09  406.
 1985 08  1512·
 1985 07  317·
 1985 06  9018.
 1985 05  820·
 1985 04  6015·
 1985 03  6116.
 1985 02  6816·
 1985 01  215.
 1984 12 47.
 1984 11 1122.
 1984 10 547.
 1984 09 9010·
 1984 08 4916·
 1984 07 12
 1984 06 1312·
 1984 05 6814.
 1984 04 1920.
 1984 03 2014·
 1984 02 335.
 1984 01 539·
 1983 12  669·
 1983 11  1916·
 1983 10  2519.
 1983 09  91
 1983 08  6414·
 1983 07  1320.
 1983 06  2924·
 1983 05  5011.
 1983 04  1420.
 1983 03  3511·
 1983 02  613·
 1983 01  2412.
 1982 12 4112·
 1982 11 4214.
 1982 10 4613·
 1982 09 338.
 1982 08 9618.
 1982 07 1429·
 1982 06 6027.
 1982 05 2120.
 1982 04 5411·
 1982 03 5922·
 1982 02 8716·
 1982 01 5728.
 1981 12  1526·
 1981 11  923.
 1981 10  8924.
 1981 09  3412·
 1981 08  514.
 1981 07  2022.
 1981 06  5513.
 1981 05  7312·
 1981 04  759.
 1981 03  7314.
 1981 02  9711·
 1981 01  179.
 1980 12 9913·
 1980 11 758.
 1980 10 539.
 1980 09 3615.
 1980 08 7821.
 1980 07 5814·
 1980 06 8621·
 1980 05 2311·
 1980 04 3718·
 1980 03 7925·
 1980 02 8411.
 1980 01 9810.
 1979 12  2713·
 1979 11  1912.
 1979 10  6014.
 1979 09  512.
 1979 08  2419·
 1979 07  8520.
 1979 06  5226.
 1979 05  1215.
 1979 04  2720.
 1979 03  823.
 1979 02  2321·
 1979 01  1517.
 1978 12 6217.
 1978 11 4619·
 1978 10 6017·
 1978 09 3220.
 1978 08 7917·
 1978 07 7922.
 1978 06 7622·
 1978 05 824·
 1978 04 5420·
 1978 03 1420·
 1978 02 1010.
 1978 01 119.
 1977 12  8712.
 1977 11  8419.
 1977 10  2415·
 1977 09  3615.
 1977 08  413·
 1977 07  4412.
 1977 06  619.
 1977 05  215·
 1977 04  5520·
 1977 03  7624·
 1977 02  6912·
 1977 01  537·
 1976 12 1512·
 1976 11 8813.
 1976 10 5116.
 1976 09 5816·
 1976 08 8416.
 1976 07 1016·
 1976 06 1521.
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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 2: Get Employment Data for Workers in the "Retail Trade" Industry







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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 20-24 years, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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