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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 25-34 years, Women: NSA
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 1976 06 7764·
 1976 07 8772·
 1976 08 7271.
 1976 09 3565.
 1976 10 275.
 1976 11 270·
 1976 12 6773.
 1977 01  5663.
 1977 02  1273·
 1977 03  34120·
 1977 04  8196.
 1977 05  95109·
 1977 06  5884.
 1977 07  6586.
 1977 08  2792·
 1977 09  9588.
 1977 10  1582.
 1977 11  296.
 1977 12  4470.
 1978 01 2678·
 1978 02 8284·
 1978 03 7596·
 1978 04 9496.
 1978 05 8185·
 1978 06 8758·
 1978 07 4387·
 1978 08 6576.
 1978 09 8190.
 1978 10 7888.
 1978 11 8672·
 1978 12 7177.
 1979 01  6983.
 1979 02  3263.
 1979 03  1183.
 1979 04  4872·
 1979 05  1392.
 1979 06  4978.
 1979 07  4994.
 1979 08  6190·
 1979 09  1072.
 1979 10  5464.
 1979 11  5865.
 1979 12  9663.
 1980 01 7753.
 1980 02 9856.
 1980 03 1973·
 1980 04 6756.
 1980 05 5884.
 1980 06 5573·
 1980 07 3977.
 1980 08 1171·
 1980 09 2492·
 1980 10 2779.
 1980 11 4877·
 1980 12 9260·
 1981 01  6754·
 1981 02  3951.
 1981 03  579.
 1981 04  9776·
 1981 05  893.
 1981 06  4161.
 1981 07  9087.
 1981 08  4087.
 1981 09  8994.
 1981 10  889.
 1981 11  1179·
 1981 12  5774.
 1982 01 8169.
 1982 02 4248.
 1982 03 9866·
 1982 04 1375·
 1982 05 7861·
 1982 06 6764·
 1982 07 971.
 1982 08 9457.
 1982 09 9861.
 1982 10 3361·
 1982 11 2558.
 1982 12 1554·
 1983 01  8659.
 1983 02  1747.
 1983 03  5271.
 1983 04  1268·
 1983 05  1165.
 1983 06  1861·
 1983 07  2353·
 1983 08  4850.
 1983 09  6859·
 1983 10  6256·
 1983 11  9463·
 1983 12  1276.
 1984 01 7465.
 1984 02 9959·
 1984 03 4744·
 1984 04 1754·
 1984 05 7541·
 1984 06 551.
 1984 07 8850.
 1984 08 9952·
 1984 09 3960.
 1984 10 8071.
 1984 11 4954.
 1984 12 2358·
 1985 01  6162·
 1985 02  5056.
 1985 03  8646·
 1985 04  7643·
 1985 05  5938.
 1985 06  6461·
 1985 07  8248.
 1985 08  7149.
 1985 09  7947·
 1985 10  9936·
 1985 11  4349·
 1985 12  4541·
 1986 01 8937.
 1986 02 5435.
 1986 03 032·
 1986 04 6338·
 1986 05 8231·
 1986 06 5538·
 1986 07 1046.
 1986 08 1142·
 1986 09 8052.
 1986 10 5345.
 1986 11 5639.
 1986 12 234.
 1987 01  2433.
 1987 02  2342·
 1987 03  4247·
 1987 04  7544·
 1987 05  8652.
 1987 06  6449·
 1987 07  254·
 1987 08  9244·
 1987 09  5869.
 1987 10  445·
 1987 11  9125·
 1987 12  4139·
 1988 01 6057.
 1988 02 9154·
 1988 03 9257.
 1988 04 3550·
 1988 05 3655.
 1988 06 253.
 1988 07 1149.
 1988 08 1249.
 1988 09 5542·
 1988 10 3646·
 1988 11 7965·
 1988 12 3558.
 1989 01  1243·
 1989 02  2044.
 1989 03  5455·
 1989 04  9232.
 1989 05  2556·
 1989 06  337.
 1989 07  1649·
 1989 08  9650.
 1989 09  3856.
 1989 10  6148·
 1989 11  7338.
 1989 12  8336·
 1990 01 2226.
 1990 02 9434.
 1990 03 5739·
 1990 04 1944·
 1990 05 6940·
 1990 06 2832.
 1990 07 2331·
 1990 08 8936·
 1990 09 046·
 1990 10 1322.
 1990 11 5331.
 1990 12 830.
 1991 01  5722·
 1991 02  2524.
 1991 03  5537·
 1991 04  1341.
 1991 05  1126·
 1991 06  6437·
 1991 07  6034·
 1991 08  6652·
 1991 09  5526·
 1991 10  5434.
 1991 11  2433·
 1991 12  5733.
 1992 01 924·
 1992 02 4823·
 1992 03 2931·
 1992 04 9733·
 1992 05 1746·
 1992 06 2023.
 1992 07 8129.
 1992 08 2527.
 1992 09 4823.
 1992 10 7022·
 1992 11 1334·
 1992 12 425·
 1993 01  9524·
 1993 02  2325.
 1993 03  8134·
 1993 04  2130·
 1993 05  7926·
 1993 06  3217.
 1993 07  6726.
 1993 08  8931·
 1993 09  4336·
 1993 10  6929·
 1993 11  7729·
 1993 12  4631.
 1994 01 5731.
 1994 02 3715·
 1994 03 4221.
 1994 04 5533.
 1994 05 1428.
 1994 06 6030.
 1994 07 2120.
 1994 08 522.
 1994 09 3316·
 1994 10 8913·
 1994 11 937·
 1994 12 76.
 1995 01  607·
 1995 02  997.
 1995 03  6612.
 1995 04  018·
 1995 05  6317.
 1995 06  9110·
 1995 07  728.
 1995 08  4710·
 1995 09  3623.
 1995 10  8913·
 1995 11  678.
 1995 12  359.
 1996 01 986.
 1996 02 4512.
 1996 03 3219·
 1996 04 7810·
 1996 05 9316·
 1996 06 3429.
 1996 07 7522·
 1996 08 1321.
 1996 09 9119·
 1996 10 5626·
 1996 11 2719.
 1996 12 321.
 1997 01  8628.
 1997 02  3621·
 1997 03  4522.
 1997 04  3624.
 1997 05  9730·
 1997 06  2616·
 1997 07  914.
 1997 08  2515.
 1997 09  684·
 1997 10  9914·
 1997 11  285·
 1997 12  814·
 1998 01 6714·
 1998 02 5816·
 1998 03 3314.
 1998 04 4816.
 1998 05 9116·
 1998 06 2615·
 1998 07 7913.
 1998 08 3310.
 1998 09 5612.
 1998 10 5516·
 1998 11 5017.
 1998 12 7515.
 1999 01  88.
 1999 02  2011·
 1999 03  5110.
 1999 04  124.
 1999 05  167.
 1999 06  2114.
 1999 07  144·
 1999 08  812.
 1999 09  7310·
 1999 10  8316·
 1999 11  9517·
 1999 12  506.
 2000 01 020.
 2000 02 5812.
 2000 03 7816.
 2000 04 5213·
 2000 05 403·
 2000 06 202.
 2000 07 6710·
 2000 08 5010·
 2000 09 624·
 2000 10 7019·
 2000 11 9529·
 2000 12 813·
 2001 01  6016.
 2001 02  34
 2001 03  1920·
 2001 04  1413.
 2001 05  5413·
 2001 06  6012·
 2001 07  190.
 2001 08  806·
 2001 09  879·
 2001 10  267.
 2001 11  35.
 2001 12  4512·
 2002 01 3010·
 2002 02 317·
 2002 03 25.
 2002 05 723.
 2002 06 750·
 2002 07 14.
 2002 08 7314·
 2002 09 4813·
 2002 10 4213·
 2002 11 8615·
 2002 12 989.
 2003 01  8610.
 2003 02  7611.
 2003 03  6223.
 2003 04  8320.
 2003 05  2418·
 2003 06  4510.
 2003 07  295.
 2003 08  604.
 2003 09  269.
 2003 10  448·
 2003 11  126.
 2003 12  8510.
 2004 01 7813·
 2004 02 918·
 2004 03 6111·
 2004 04 4012·
 2004 05 9413·
 2004 06 3110·
 2004 07 539.
 2004 08 3220.
 2004 09 1217.
 2004 10 3314.
 2004 11 8711.
 2004 12 93
 2005 01  943·
 2005 02  919·
 2005 03  903·
 2005 04  789·
 2005 05  29
 2005 06  245.
 2005 07  104.
 2005 08  708·
 2005 09  29
 2005 10  773.
 2005 11  243·
 2005 12  760.
 2006 02 323.
 2006 03 1811.
 2006 04 3321·
 2006 05 2614.
 2006 06 218.
 2006 07 4224·
 2006 08 6020.
 2006 09 7822·
 2006 10 2510.
 2006 11 6812.
 2006 12 586·
 2007 01  1313·
 2007 02  1611.
 2007 03  3912·
 2007 04  19·
 2007 05  3812.
 2007 06  112.
 2007 07  26
 2007 08  894·
 2007 09  8511·
 2007 10  7415·
 2007 11  2214·
 2007 12  4916.
 2008 01 108.
 2008 02 933·
 2008 03 468.
 2008 04 304·
 2008 05 947·
 2008 06 809.
 2008 07 42
 2008 08 7
 2008 09 453.
 2008 10 733·
 2008 11 813·
 2008 12 823.
 2009 03  955.
 2009 04  36
 2009 05  551·
 2009 06  801·
 2009 07  980.
 2009 08  564.
 2009 09  846.
 2009 10  506.
 2009 11  3911.
 2009 12  4613.
 2010 01 12
 2010 02 6910.
 2010 03 227.
 2010 04 449.
 2010 05 89.
 2010 06 371·
 2010 07 804·
 2010 08 123.
 2010 09 664.
 2010 10 798·
 2010 11 6913·
 2010 12 4010·
 2011 01  616·
 2011 02  454.
 2011 03  7113·
 2011 04  3921·
 2011 05  7215·
 2011 06  1114·
 2011 07  9210·
 2011 08  4711·
 2011 09  337.
 2011 10  780·
 2011 11  650.
 2011 12  281·
 2012 01 826·
 2012 02 702.
 2012 03 462·
 2012 04 70
 2012 05 390.
 2012 06 397·
 2012 07 163.
 2012 08 8410.
 2012 09 4911.
 2012 10 5812·
 2012 11 823·
 2012 12 91.
 2013 01  800.
 2013 02  30
 2013 03  760·
 2013 04  90.
 2013 05  265.
 2013 06  795·
 2013 07  544.
 2013 08  708·
 2013 09  72.
 2013 10  562·
 2013 11  992·
 2013 12  60.
 2014 01 663.
 2014 02 361·
 2014 03 160·
 2014 04 552.
 2014 05 745.
 2014 06 196·
 2014 07 377.
 2014 08 793.
 2014 09 23
 2014 10 313·
 2014 11 205·
 2014 12 6711.
 2015 01  341.
 2015 02  2213.
 2015 03  456.
 2015 04  300·
 2015 05  500·
 2015 06  683.
 2015 07  198·
 2015 08  86·
 2015 09  413·
 2015 10  690.
 2015 11  746·
 2015 12  640·
 2016 01 00.
 2016 02 511.
 2016 03 676·
 2016 04 841.
 2016 05 463·
 2016 06 637.
 2016 07 7910.
 2016 08 8210.
 2016 09 259·
 2016 10 8110·
 2016 11 162.
 2016 12 953.
 2017 01  5
 2017 02  61·
 2017 03  120.


 2017 04  881.
 2017 05  791.
 2017 06  631.
 2017 07  210·
 2017 08  470·
 2017 09  690.
 2017 10  20.
 2017 11  260·
 2017 12  853·
 2018 01 16
 2018 02 990.
 2018 03 330.
 2018 04 41
 2018 05 910.
 2018 06 5410·
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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
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

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