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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 25-34 years, Women: NSA
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 1976 06 5664.
 1976 07 5572.
 1976 08 3771.
 1976 09 9765.
 1976 10 5675.
 1976 11 3770.
 1976 12 6573.
 1977 01  9463.
 1977 02  6073.
 1977 03  55120·
 1977 04  3296·
 1977 05  28109.
 1977 06  1884·
 1977 07  9186·
 1977 08  5092·
 1977 09  4288.
 1977 10  682.
 1977 11  5196·
 1977 12  5870.
 1978 01 678.
 1978 02 2484·
 1978 03 6796·
 1978 04 1796·
 1978 05 1385·
 1978 06 9758·
 1978 07 9587.
 1978 08 1776.
 1978 09 8390·
 1978 10 7688.
 1978 11 1772.
 1978 12 6977·
 1979 01  5983.
 1979 02  3663.
 1979 03  4083.
 1979 04  1272·
 1979 05  1292.
 1979 06  7878.
 1979 07  9694·
 1979 08  990.
 1979 09  3572.
 1979 10  2664.
 1979 11  4165·
 1979 12  4763.
 1980 01 4753·
 1980 02 3256·
 1980 03 5673.
 1980 04 3956.
 1980 05 9384·
 1980 06 7173.
 1980 07 4977·
 1980 08 2471.
 1980 09 4192·
 1980 10 4379.
 1980 11 5177·
 1980 12 6460·
 1981 01  8654·
 1981 02  7351·
 1981 03  1979.
 1981 04  4876.
 1981 05  4693·
 1981 06  1261.
 1981 07  3487·
 1981 08  8787·
 1981 09  6794.
 1981 10  3689.
 1981 11  279·
 1981 12  2074·
 1982 01 1769.
 1982 02 4448·
 1982 03 5766·
 1982 04 1075·
 1982 05 9061·
 1982 06 6364.
 1982 07 5371.
 1982 08 4557.
 1982 09 561·
 1982 10 4261·
 1982 11 7458·
 1982 12 3754·
 1983 01  759·
 1983 02  5747.
 1983 03  2571.
 1983 04  2468.
 1983 05  6565.
 1983 06  861.
 1983 07  3853.
 1983 08  7050·
 1983 09  7359.
 1983 10  2056.
 1983 11  7063.
 1983 12  6276.
 1984 01 4965.
 1984 02 4559·
 1984 03 244.
 1984 04 1354.
 1984 05 3941·
 1984 06 5751.
 1984 07 4150·
 1984 08 6152·
 1984 09 1160·
 1984 10 5771.
 1984 11 1954.
 1984 12 7058.
 1985 01  5962·
 1985 02  7056.
 1985 03  9346·
 1985 04  2543.
 1985 05  338.
 1985 06  4761.
 1985 07  4348·
 1985 08  4249·
 1985 09  8747.
 1985 10  6336·
 1985 11  7749.
 1985 12  5741·
 1986 01 7937·
 1986 02 1835·
 1986 03 2632·
 1986 04 3438·
 1986 05 7431·
 1986 06 3838.
 1986 07 4846·
 1986 08 6042·
 1986 09 9252.
 1986 10 7345·
 1986 11 2239·
 1986 12 4834·
 1987 01  7533.
 1987 02  9942.
 1987 03  5747.
 1987 04  3644·
 1987 05  9452·
 1987 06  1549.
 1987 07  8454·
 1987 08  8744·
 1987 09  4369·
 1987 10  4845.
 1987 11  5925.
 1987 12  9039·
 1988 01 4057.
 1988 02 4854·
 1988 03 6457.
 1988 04 5650.
 1988 05 3055.
 1988 06 9053.
 1988 07 649·
 1988 08 2349.
 1988 09 8242.
 1988 10 7446.
 1988 11 1765·
 1988 12 5658.
 1989 01  9043·
 1989 02  2644·
 1989 03  5255·
 1989 04  4032·
 1989 05  7456·
 1989 06  9737·
 1989 07  9449.
 1989 08  9150.
 1989 09  7656·
 1989 10  6148·
 1989 11  5038.
 1989 12  4436.
 1990 01 6726.
 1990 02 1934·
 1990 03 5039·
 1990 04 6344·
 1990 05 4140.
 1990 06 9732.
 1990 07 5231·
 1990 08 3736.
 1990 09 1746.
 1990 10 4522.
 1990 11 3831·
 1990 12 7730·
 1991 01  3822.
 1991 02  3824.
 1991 03  1337.
 1991 04  2341.
 1991 05  7526·
 1991 06  7637.
 1991 07  934.
 1991 08  3652.
 1991 09  2126.
 1991 10  8634.
 1991 11  8433.
 1991 12  433·
 1992 01 9524.
 1992 02 1623.
 1992 03 1931.
 1992 04 4133·
 1992 05 4246·
 1992 06 4423.
 1992 07 2029.
 1992 08 8527·
 1992 09 3023·
 1992 10 6922.
 1992 11 1934·
 1992 12 9825.
 1993 01  5424·
 1993 02  1725·
 1993 03  7334.
 1993 04  6830.
 1993 05  3326.
 1993 06  3717.
 1993 07  6326·
 1993 08  731·
 1993 09  1136.
 1993 10  629.
 1993 11  9629.
 1993 12  5531.
 1994 01 5731.
 1994 02 2415.
 1994 03 421·
 1994 04 7433·
 1994 05 6628·
 1994 06 1530.
 1994 07 4320·
 1994 08 5222.
 1994 09 5616·
 1994 10 3213.
 1994 11 957.
 1994 12 16.
 1995 01  717·
 1995 02  487·
 1995 03  6612·
 1995 04  5918·
 1995 05  8217·
 1995 06  6510.
 1995 07  898.
 1995 08  9010.
 1995 09  8123·
 1995 10  713.
 1995 11  20
 1995 12  81
 1996 01 886·
 1996 02 2512.
 1996 03 4019.
 1996 04 4610·
 1996 05 4816·
 1996 06 9529.
 1996 07 5622.
 1996 08 2121.
 1996 09 2919·
 1996 10 1726.
 1996 11 019.
 1996 12 7121·
 1997 01  2528·
 1997 02  1621·
 1997 03  2922.
 1997 04  8224·
 1997 05  5630·
 1997 06  4316.
 1997 07  2314.
 1997 08  6815·
 1997 09  664·
 1997 10  7214.
 1997 11  905.
 1997 12  6714.
 1998 01 2314.
 1998 02 616.
 1998 03 6214.
 1998 04 4116·
 1998 05 2316.
 1998 06 6815·
 1998 07 9413·
 1998 08 7810.
 1998 09 8312.
 1998 10 916.
 1998 11 6917·
 1998 12 9215.
 1999 01  498.
 1999 02  511.
 1999 03  9310.
 1999 04  204·
 1999 05  907·
 1999 06  5614.
 1999 07  984.
 1999 08  2512.
 1999 09  9910·
 1999 10  8716·
 1999 11  4117·
 1999 12  956·
 2000 01 9620·
 2000 02 4912·
 2000 03 316·
 2000 04 4313·
 2000 05 243.
 2000 06 182.
 2000 07 9110.
 2000 08 710.
 2000 09 544·
 2000 10 9319.
 2000 11 3629·
 2000 12 5013·
 2001 01  7916·
 2001 02  997.
 2001 03  9520·
 2001 04  5813·
 2001 05  1813·
 2001 06  8912.
 2001 07  500.
 2001 08  476.
 2001 09  159.
 2001 10  367.
 2001 11  75.
 2001 12  5212·
 2002 01 4010.
 2002 02 417·
 2002 03 995.
 2002 05 383.
 2002 06 870.
 2002 07 29
 2002 08 8114.
 2002 09 9213·
 2002 10 7513·
 2002 11 5215·
 2002 12 359.
 2003 01  2710.
 2003 02  4711.
 2003 03  8423·
 2003 04  6820.
 2003 05  8118·
 2003 06  7410.
 2003 07  255.
 2003 08  124.
 2003 09  179.
 2003 10  498.
 2003 11  26.
 2003 12  2310·
 2004 01 2213·
 2004 02 928.
 2004 03 6411.
 2004 04 8312.
 2004 05 1013.
 2004 06 4610.
 2004 07 879·
 2004 08 9820.
 2004 09 1817·
 2004 10 8014·
 2004 11 7111.
 2004 12 14.
 2005 01  93·
 2005 02  909·
 2005 03  423·
 2005 04  479.
 2005 05  724.
 2005 06  935·
 2005 07  504.
 2005 08  19
 2005 09  196·
 2005 10  353.
 2005 11  703·
 2005 12  230·
 2006 02 883·
 2006 03 8411·
 2006 04 321·
 2006 05 9014.
 2006 06 4218.
 2006 07 3424.
 2006 08 7520.
 2006 09 7822·
 2006 10 6810.
 2006 11 512·
 2006 12 356.
 2007 01  6813.
 2007 02  8111.
 2007 03  4112·
 2007 04  599.
 2007 05  6612.
 2007 06  16
 2007 07  103·
 2007 08  474.
 2007 09  511·
 2007 10  3915·
 2007 11  714·
 2007 12  2516·
 2008 01 418·
 2008 02 353·
 2008 03 518.
 2008 04 444·
 2008 05 557·
 2008 06 199·
 2008 07 876.
 2008 08 772.
 2008 09 543.
 2008 10 283·
 2008 11 833.
 2008 12 273.
 2009 03  70
 2009 04  253.
 2009 05  341·
 2009 06  181·
 2009 07  600·
 2009 08  984·
 2009 09  586.
 2009 10  16.
 2009 11  511.
 2009 12  6013·
 2010 01 00.
 2010 02 5110·
 2010 03 117.
 2010 04 489.
 2010 05 299·
 2010 06 69
 2010 07 114.
 2010 08 263·
 2010 09 394.
 2010 10 798·
 2010 11 6113·
 2010 12 8210·
 2011 01  4916·
 2011 02  334·
 2011 03  4313·
 2011 04  2821.
 2011 05  415.
 2011 06  514·
 2011 07  6310.
 2011 08  211.
 2011 09  727·
 2011 10  97
 2011 11  530.
 2011 12  671.
 2012 01 476.
 2012 02 332·
 2012 03 692.
 2012 04 112·
 2012 05 500.
 2012 06 647.
 2012 07 94
 2012 08 4710·
 2012 09 2411·
 2012 10 6512.
 2012 11 333.
 2012 12 131·
 2013 01  370.
 2013 02  36
 2013 03  190.
 2013 04  72
 2013 05  855·
 2013 06  45.
 2013 07  94·
 2013 08  118.
 2013 09  862.
 2013 10  182·
 2013 11  832·
 2013 12  440·
 2014 01 853.
 2014 02 54
 2014 03 480·
 2014 04 82.
 2014 05 505.
 2014 06 126·
 2014 07 377.
 2014 08 673·
 2014 09 763.
 2014 10 183.
 2014 11 55.
 2014 12 711·
 2015 01  821·
 2015 02  2213.
 2015 03  356.
 2015 04  430·
 2015 05  120·
 2015 06  993.
 2015 07  328·
 2015 08  126·
 2015 09  353.
 2015 10  500·
 2015 11  296·
 2015 12  760.
 2016 01 450.
 2016 02 01·
 2016 03 836.
 2016 04 241·
 2016 05 623.
 2016 06 99


 2016 07 7410.
 2016 08 6910·
 2016 09 309·
 2016 10 2410.
 2016 11 102·
 2016 12 483.
 2017 01  172.
 2017 02  73
 2017 03  230·
 2017 04  251.
 2017 05  191·
 2017 06  741.
 2017 07  68
 2017 08  870.
 2017 09  53
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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: Employment Level: Nonagriculture, Unpaid Family Workers, 25-34 years, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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