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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 25-34 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1976 06 2870.
 1976 07 2777.
 1976 08 2175·
 1976 09 3367.
 1976 10 980.
 1976 11 9572·
 1976 12 4282.
 1977 01  2966.
 1977 02  1883.
 1977 03  24126·
 1977 04  26105·
 1977 05  87114·
 1977 06  690·
 1977 07  9695·
 1977 08  8799.
 1977 09  5094·
 1977 10  4885·
 1977 11  1798·
 1977 12  6273·
 1978 01 8781·
 1978 02 4687.
 1978 03 19101.
 1978 04 14102.
 1978 05 9392.
 1978 06 2461·
 1978 07 5988.
 1978 08 3179·
 1978 09 8789·
 1978 10 3388·
 1978 11 1873·
 1978 12 2679.
 1979 01  1290.
 1979 02  4966·
 1979 03  286·
 1979 04  3785·
 1979 05  3999.
 1979 06  7083·
 1979 07  44101.
 1979 08  2693·
 1979 09  6078.
 1979 10  2467·
 1979 11  068·
 1979 12  8268·
 1980 01 9661.
 1980 02 6061.
 1980 03 5277.
 1980 04 1763.
 1980 05 9191·
 1980 06 5480.
 1980 07 685·
 1980 08 6972.
 1980 09 1399.
 1980 10 684·
 1980 11 9579.
 1980 12 264·
 1981 01  5658.
 1981 02  4153.
 1981 03  7383.
 1981 04  376.
 1981 05  4199·
 1981 06  1170.
 1981 07  2593·
 1981 08  8593·
 1981 09  10102.
 1981 10  9090.
 1981 11  5583.
 1981 12  8580.
 1982 01 3475·
 1982 02 7854·
 1982 03 9579.
 1982 04 6884.
 1982 05 672.
 1982 06 173.
 1982 07 384·
 1982 08 2068.
 1982 09 4568.
 1982 10 1064.
 1982 11 6063.
 1982 12 5557.
 1983 01  9660.
 1983 02  8056·
 1983 03  7278·
 1983 04  1078.
 1983 05  2884·
 1983 06  1169·
 1983 07  7261·
 1983 08  4855.
 1983 09  3464·
 1983 10  2960.
 1983 11  1572.
 1983 12  5881·
 1984 01 3569.
 1984 02 8466.
 1984 03 8451.
 1984 04 5264·
 1984 05 7341.
 1984 06 5153·
 1984 07 8453.
 1984 08 6755·
 1984 09 1964·
 1984 10 3174·
 1984 11 4959.
 1984 12 6863·
 1985 01  6667·
 1985 02  4960·
 1985 03  3353.
 1985 04  4247·
 1985 05  3444·
 1985 06  5662·
 1985 07  2047·
 1985 08  150·
 1985 09  6648·
 1985 10  2738·
 1985 11  1553.
 1985 12  8347.
 1986 01 3251.
 1986 02 6243·
 1986 03 5136.
 1986 04 5344·
 1986 05 2637·
 1986 06 8742·
 1986 07 8351.
 1986 08 9647·
 1986 09 6858.
 1986 10 5353·
 1986 11 9542·
 1986 12 2741·
 1987 01  038·
 1987 02  3348.
 1987 03  9153·
 1987 04  8349.
 1987 05  9357.
 1987 06  3056.
 1987 07  455·
 1987 08  2751·
 1987 09  4078·
 1987 10  6845·
 1987 11  9028·
 1987 12  4642.
 1988 01 6164·
 1988 02 9856·
 1988 03 3266·
 1988 04 5554·
 1988 05 056.
 1988 06 9563.
 1988 07 3558·
 1988 08 9054.
 1988 09 2645·
 1988 10 5950·
 1988 11 3275.
 1988 12 1562·
 1989 01  3353·
 1989 02  1745·
 1989 03  7960.
 1989 04  1735.
 1989 05  4061·
 1989 06  1743.
 1989 07  5754·
 1989 08  1057·
 1989 09  9265.
 1989 10  3658.
 1989 11  7448.
 1989 12  3140.
 1990 01 5732.
 1990 02 7549.
 1990 03 6147·
 1990 04 4352·
 1990 05 2950.
 1990 06 5840.
 1990 07 7440.
 1990 08 3444·
 1990 09 2953.
 1990 10 3531·
 1990 11 9644·
 1990 12 1738.
 1991 01  9923.
 1991 02  8328.
 1991 03  3241·
 1991 04  3048.
 1991 05  932.
 1991 06  243·
 1991 07  1546·
 1991 08  3656.
 1991 09  5434·
 1991 10  1644.
 1991 11  143·
 1991 12  2239·
 1992 01 5230.
 1992 02 7733·
 1992 03 7242.
 1992 04 238·
 1992 05 4851.
 1992 06 6033.
 1992 07 3531·
 1992 08 1327·
 1992 09 1027·
 1992 10 6527.
 1992 11 2046.
 1992 12 1836·
 1993 01  3329.
 1993 02  1830.
 1993 03  8539·
 1993 04  636.
 1993 05  3528·
 1993 06  6818.
 1993 07  1226·
 1993 08  8831.
 1993 09  6243.
 1993 10  9237.
 1993 11  633·
 1993 12  437.
 1994 01 8236·
 1994 02 9024.
 1994 03 026.
 1994 04 1538.
 1994 05 9035.
 1994 06 8735.
 1994 07 5124.
 1994 08 1023.
 1994 09 417·
 1994 10 3315·
 1994 11 39
 1994 12 18·
 1995 01  688.
 1995 02  57.
 1995 03  7215.
 1995 04  2821.
 1995 05  5220.
 1995 06  113·
 1995 07  8110·
 1995 08  519.
 1995 09  5025.
 1995 10  4916.
 1995 11  2310.
 1995 12  6010·
 1996 01 827.
 1996 02 9712.
 1996 03 7919.
 1996 04 6710·
 1996 05 9020·
 1996 06 2235.
 1996 07 5727.
 1996 08 1027·
 1996 09 4524·
 1996 10 2430·
 1996 11 8723.
 1996 12 5229·
 1997 01  4038.
 1997 02  2824.
 1997 03  2725·
 1997 04  8129·
 1997 05  9434·
 1997 06  8521·
 1997 07  5817·
 1997 08  917·
 1997 09  537.
 1997 10  7015.
 1997 11  867.
 1997 12  7618·
 1998 01 8421·
 1998 02 8322·
 1998 03 4421·
 1998 04 4220.
 1998 05 8318.
 1998 06 5020.
 1998 07 8815.
 1998 08 9814·
 1998 09 6716·
 1998 10 2117.
 1998 11 9917·
 1998 12 5415·
 1999 01  829.
 1999 02  7212.
 1999 03  8512·
 1999 04  504·
 1999 05  969.
 1999 06  317·
 1999 07  766·
 1999 08  4714·
 1999 09  410.
 1999 10  4016·
 1999 11  3021.
 1999 12  3514·
 2000 01 2523·
 2000 02 3215·
 2000 03 2821.
 2000 04 2618·
 2000 05 26·
 2000 06 555·
 2000 07 7710·
 2000 08 5721·
 2000 09 66.
 2000 10 1021.
 2000 11 929·
 2000 12 9213·
 2001 01  2918·
 2001 02  228.
 2001 03  7921.
 2001 04  1816·
 2001 05  9216.
 2001 06  4213·
 2001 07  710·
 2001 08  496.
 2001 09  399.
 2001 10  4410·
 2001 11  899·
 2001 12  2218.
 2002 01 3715.
 2002 02 299.
 2002 03 679.
 2002 04 16.
 2002 05 8311·
 2002 06 227.
 2002 07 6011·
 2002 08 7221·
 2002 09 9522·
 2002 10 7520.
 2002 11 5117·
 2002 12 5011·
 2003 01  1610·
 2003 02  6211·
 2003 03  4627·
 2003 04  7123·
 2003 05  1728·
 2003 06  8423.
 2003 07  7619.
 2003 08  9919·
 2003 09  9023·
 2003 10  6511·
 2003 11  986.
 2003 12  2210.
 2004 01 5720·
 2004 02 578·
 2004 03 9414·
 2004 04 5312·
 2004 05 6013.
 2004 06 3514·
 2004 07 7116·
 2004 08 2929·
 2004 09 6823·
 2004 10 014.
 2004 11 6011.
 2004 12 135.
 2005 01  76
 2005 02  76
 2005 03  183·
 2005 04  9310.
 2005 05  48·
 2005 06  148·
 2005 07  2610.
 2005 08  8214·
 2005 09  949.
 2005 10  893.
 2005 11  915.
 2005 12  195.
 2006 01 171.
 2006 02 2
 2006 03 4514.
 2006 04 6524.
 2006 05 6617·
 2006 06 7922.
 2006 07 4425.
 2006 08 1022.
 2006 09 6123·
 2006 10 6913·
 2006 11 7012·
 2006 12 646·
 2007 01  4513·
 2007 02  4815·
 2007 03  3015.
 2007 04  6811.
 2007 05  8812·
 2007 06  172.
 2007 07  554·
 2007 08  834·
 2007 09  8412·
 2007 10  021·
 2007 11  229.
 2007 12  9726·
 2008 01 5218.
 2008 02 486.
 2008 03 5215.
 2008 04 2310.
 2008 05 3713·
 2008 06 3714·
 2008 07 1310·
 2008 08 05·
 2008 09 710·
 2008 10 6710·
 2008 11 159·
 2008 12 893·
 2009 03  565.
 2009 04  63
 2009 05  161.
 2009 06  801.
 2009 07  43·
 2009 08  765.
 2009 09  978·
 2009 10  847.
 2009 11  9512.
 2009 12  8118·
 2010 01 657·
 2010 02 4011.
 2010 03 989.
 2010 04 7910·
 2010 05 5211.
 2010 06 1113·
 2010 07 710·
 2010 08 943.
 2010 09 1311.
 2010 10 8413.
 2010 11 4118.
 2010 12 7819·
 2011 01  3121.
 2011 02  726.
 2011 03  4420·
 2011 04  621·
 2011 05  1215·
 2011 06  1414.
 2011 07  8610.
 2011 08  7711·
 2011 09  8812.
 2011 10  720.
 2011 11  614·
 2011 12  182.
 2012 01 1610.
 2012 02 348·
 2012 03 8712·
 2012 04 795.
 2012 05 773.
 2012 06 127·
 2012 07 95·
 2012 08 3510·
 2012 09 7813·
 2012 10 4615.
 2012 11 973.
 2012 12 872.
 2013 01  503.
 2013 02  973.
 2013 03  4312.
 2013 04  607.
 2013 05  519.
 2013 06  5412·
 2013 07  686·
 2013 08  413.
 2013 09  612.
 2013 10  292.
 2013 11  162.
 2013 12  950·
 2014 01 883.
 2014 02 611.
 2014 03 550·
 2014 04 332.
 2014 05 635.
 2014 06 126.
 2014 07 807·
 2014 08 444·
 2014 09 42
 2014 10 703.
 2014 11 96.
 2014 12 7813.
 2015 01  81·
 2015 02  4916.
 2015 03  8816·
 2015 04  103.
 2015 05  673.
 2015 06  857·
 2015 07  858.
 2015 08  416·
 2015 09  518·
 2015 10  423·
 2015 11  9415.
 2015 12  965.
 2016 01 167.
 2016 02 75·
 2016 03 356·
 2016 04 265·
 2016 05 443·
 2016 06 9514·
 2016 07 5218.
 2016 08 518·
 2016 09 4115.
 2016 10 4210·
 2016 11 133·
 2016 12 356·
 2017 01  398·
 2017 02  111·
 2017 03  130.


 2017 04  411·
 2017 05  961.
 2017 06  901.
 2017 07  710.
 2017 08  720.
 2017 09  920.
 2017 10  93
 2017 11  31
 2017 12  53.
 2018 01 343.
 2018 02 570.
 2018 03 630.
 2018 04 405·
 2018 05 540.
 2018 06 4519.
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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: 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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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