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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 16-19 years, Women: NSA
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 2012 04 280·
 2012 03 500.
 2012 02 510.
 2012 01 778·
 2011 12  04.
 2011 11  911.
 2011 10  250.
 2011 09  84·
 2011 08  250.
 2011 07  172·
 2011 06  880·
 2011 05  260·
 2011 04  545.
 2011 03  11
 2011 02  530.
 2011 01  732.
 2010 12 637.
 2010 11 807·
 2010 10 56
 2010 09 200.
 2010 08 512.
 2010 07 54
 2010 06 620·
 2010 05 610.
 2010 04 460.
 2010 03 91
 2010 02 57
 2010 01 141.
 2009 12  961.
 2009 11  720·
 2009 10  550·
 2009 09  250.
 2009 08  774.
 2009 07  413·
 2009 06  954.
 2009 03  610·
 2009 01  903·
 2008 07 185.
 2008 06 37
 2008 05 172.
 2008 04 596.
 2008 03 714.
 2008 01 723.
 2007 08  132·
 2007 07  367·
 2007 06  462·
 2007 05  101·
 2007 04  922.
 2007 03  969.
 2007 02  477·
 2007 01  919.
 2006 12 246.
 2006 11 392·
 2006 10 81.
 2006 07 780.
 2006 05 2
 2006 01 910·
 2005 12  840.
 2005 11  573.
 2005 07  476·
 2005 06  16·
 2005 03  573.
 2005 02  4210·
 2004 12 14·
 2004 10 46
 2004 09 354·
 2004 08 723.
 2004 07 346.
 2004 06 254.
 2004 05 478·
 2004 04 85.
 2004 01 415.
 2003 12  654·
 2003 11  534.
 2003 10  381.
 2003 08  406.
 2003 07  153·
 2003 06  326·
 2003 05  767·
 2003 04  761·
 2003 03  512.
 2003 02  912.
 2003 01  602·
 2002 12 174.
 2002 11 738·
 2002 10 630.
 2002 09 525.
 2002 08 58
 2002 07 61·
 2002 06 31.
 2002 03 402·
 2002 02 181·
 2001 12  2
 2001 11  943.
 2001 10  375·
 2001 09  423·
 2001 08  357.
 2001 07  422.
 2001 06  821·
 2001 04  974·
 2001 03  78·
 2001 02  7911·
 2001 01  36
 2000 12 792·
 2000 08 416.
 2000 07 612.
 2000 06 882.
 2000 05 76.
 2000 04 899.
 2000 03 707·
 2000 02 519.
 2000 01 249.
 1999 12  263.
 1999 08  123·
 1999 07  623·
 1999 06  05·
 1999 05  523·
 1999 03  202.
 1999 02  84
 1999 01  29
 1998 10 936.
 1998 09 503·
 1998 07 6
 1998 06 3010.
 1998 05 994.
 1998 04 832.
 1997 12  413·
 1997 11  470.
 1997 10  460·
 1997 09  2712.
 1997 08  2510·
 1997 07  5010·
 1997 06  344·
 1997 05  122·
 1997 04  223·
 1997 03  320.
 1997 02  881·
 1997 01  963.
 1996 12 219.
 1996 11 135·
 1996 10 586·
 1996 09 607.
 1996 08 337.
 1996 07 364.
 1996 06 2111·
 1996 05 107·
 1996 04 971·
 1996 03 722·
 1996 01 772.
 1995 12  792.
 1995 11  751·
 1995 10  132.
 1995 09  503.
 1995 08  243·
 1995 07  565.
 1995 06  8014.
 1995 05  9212·
 1995 04  2415.
 1995 03  5215·
 1995 02  172·
 1995 01  77
 1994 12 883.
 1994 11 25·
 1994 10 914.
 1994 08 6
 1994 07 4712.
 1994 06 672.
 1994 04 991·
 1994 03 51·
 1994 02 584.
 1993 12  371.
 1993 11  582·
 1993 10  244·
 1993 09  27·
 1993 08  239·
 1993 07  135·
 1993 06  382·
 1993 05  854·
 1993 04  657.
 1993 02  333·
 1993 01  473.
 1992 12 414·
 1992 11 241.
 1992 10 132·
 1992 09 781.
 1992 08 2411.
 1992 07 895·
 1992 06 7012·
 1992 05 804·
 1992 04 17
 1992 03 725·
 1992 02 511.
 1992 01 294.
 1991 12  277.
 1991 10  11
 1991 08  222.
 1991 07  255·
 1991 06  853.
 1991 05  701.
 1991 04  802·
 1991 03  931.
 1991 01  473.
 1990 12 362·
 1990 11 435.
 1990 10 852.
 1990 09 961.
 1990 08 224.
 1990 07 543·
 1990 06 757.
 1990 05 3713.
 1990 04 669·
 1990 03 847·
 1990 02 641·
 1990 01 49.
 1989 12  318.
 1989 11  267·
 1989 10  777.
 1989 09  529.
 1989 08  56·
 1989 07  09.
 1989 06  644·
 1989 05  622.
 1989 03  01·
 1989 02  49
 1989 01  15.
 1988 12 425.
 1988 11 548.
 1988 10 431·
 1988 09 892.
 1988 08 242.
 1988 07 311·
 1988 06 768.
 1988 04 526.
 1988 02 631·
 1988 01 194·
 1987 12  673.
 1987 11  426·
 1987 10  424.
 1987 09  293.
 1987 08  60
 1987 07  339.
 1987 06  668.
 1987 05  14.
 1987 04  251.
 1987 03  266.
 1987 02  694·
 1987 01  968·
 1986 12 541.
 1986 11 463.
 1986 10 612.
 1986 09 414·
 1986 08 699·
 1986 07 4413.
 1986 06 598·
 1986 05 362.
 1986 04 126·
 1986 03 951.
 1986 02 353·
 1986 01 31
 1985 12  536·
 1985 11  997·
 1985 10  65
 1985 09  514·
 1985 08  8616·
 1985 07  8214.
 1985 06  69·
 1985 05  848·
 1985 04  317.
 1985 03  941·
 1985 02  396.
 1985 01  443·
 1984 12 306·
 1984 11 115.
 1984 10 727·
 1984 09 697.
 1984 08 546.
 1984 07 3418.
 1984 06 3617·
 1984 05 207·
 1984 04 974·
 1984 03 8612·
 1984 02 873·
 1984 01 863.
 1983 12  774·
 1983 11  199.
 1983 10  8
 1983 09  8010.
 1983 08  4015·
 1983 07  911·
 1983 06  416·
 1983 05  4011.
 1983 04  539·
 1983 03  5513.
 1983 02  85·
 1983 01  285·
 1982 12 118·
 1982 11 824.
 1982 10 766.
 1982 09 336·
 1982 08 3426.
 1982 07 4319.
 1982 06 8922.
 1982 05 6820.
 1982 04 6523.
 1982 03 1111·
 1982 02 5512·
 1982 01 707.
 1981 12  745.
 1981 11  875.
 1981 10  52.
 1981 09  18.
 1981 08  549·
 1981 07  9717.
 1981 06  969·
 1981 05  527.
 1981 04  257·
 1981 03  907·
 1981 02  97·
 1981 01  337.
 1980 12 31
 1980 11 439·
 1980 10 5013·
 1980 09 8213.
 1980 08 427.
 1980 07 569·
 1980 06 5310.
 1980 05 647·
 1980 04 509.
 1980 03 547.
 1980 02 728·
 1980 01 655·
 1979 12  776.
 1979 11  879.
 1979 10  918·
 1979 09  9912·
 1979 08  6419·
 1979 07  3115·
 1979 06  1521.
 1979 05  4
 1979 04  8213.
 1979 03  8613.
 1979 02  766·
 1979 01  418.
 1978 12 268·
 1978 11 788·
 1978 10 314.
 1978 09 08.
 1978 08 1320·
 1978 07 5728·
 1978 06 6115·
 1978 05 9321·
 1978 04 8812.
 1978 03 9913.
 1978 02 749·
 1978 01 587·
 1977 12  204.
 1977 11  36·
 1977 10  0
 1977 09  5811.
 1977 08  414·
 1977 07  9517·
 1977 06  9617·
 1977 05  8114.
 1977 04  599.
 1977 03  2610.
 1977 02  4514·
 1977 01  3914.
 1976 12 2815·
 1976 11 7117.
 1976 10 5217·
 1976 09 7111.
 1976 08 8123·
 1976 07 3121·
 1976 06 4918·
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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: Employment Level: Nonagriculture, Unpaid Family Workers, 16-19 years, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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