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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 25-34 years: NSA
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 1976 06 6970.
 1976 07 3977.
 1976 08 2975·
 1976 09 3167.
 1976 10 5880·
 1976 11 2772.
 1976 12 5682·
 1977 01  9466·
 1977 02  7083·
 1977 03  70126·
 1977 04  40105·
 1977 05  12114.
 1977 06  5490·
 1977 07  4995·
 1977 08  9499.
 1977 09  2994.
 1977 10  8785.
 1977 11  7198.
 1977 12  5673·
 1978 01 1481·
 1978 02 6987·
 1978 03 68101.
 1978 04 89102.
 1978 05 6292.
 1978 06 2561·
 1978 07 9688.
 1978 08 8079·
 1978 09 9189·
 1978 10 588.
 1978 11 3773.
 1978 12 4379.
 1979 01  4690.
 1979 02  8566.
 1979 03  9886·
 1979 04  1685.
 1979 05  9599.
 1979 06  6683.
 1979 07  10101.
 1979 08  6193.
 1979 09  3478.
 1979 10  7267·
 1979 11  3068·
 1979 12  6668.
 1980 01 8061·
 1980 02 5561.
 1980 03 3977·
 1980 04 4563.
 1980 05 7991·
 1980 06 8980.
 1980 07 4485·
 1980 08 3472.
 1980 09 9999.
 1980 10 7584.
 1980 11 7779·
 1980 12 9864·
 1981 01  3458·
 1981 02  3853.
 1981 03  9483.
 1981 04  2376·
 1981 05  499·
 1981 06  2970.
 1981 07  7893.
 1981 08  2393.
 1981 09  53102.
 1981 10  2290.
 1981 11  3483.
 1981 12  3680·
 1982 01 4975.
 1982 02 2054.
 1982 03 9579.
 1982 04 2484·
 1982 05 8872.
 1982 06 4673·
 1982 07 1684.
 1982 08 7668.
 1982 09 8868·
 1982 10 5164·
 1982 11 8063·
 1982 12 457·
 1983 01  9360·
 1983 02  1156.
 1983 03  9478.
 1983 04  4678·
 1983 05  7284.
 1983 06  2669·
 1983 07  8861·
 1983 08  6555·
 1983 09  2064·
 1983 10  2260·
 1983 11  2072.
 1983 12  4981·
 1984 01 5669·
 1984 02 4866.
 1984 03 7151·
 1984 04 1164.
 1984 05 2441·
 1984 06 8053·
 1984 07 4753.
 1984 08 8955·
 1984 09 9364.
 1984 10 1974·
 1984 11 8159.
 1984 12 4663.
 1985 01  5667.
 1985 02  9060.
 1985 03  3053.
 1985 04  6947.
 1985 05  3544·
 1985 06  4362.
 1985 07  7447.
 1985 08  7150·
 1985 09  7148.
 1985 10  5438.
 1985 11  2053.
 1985 12  9147·
 1986 01 3551·
 1986 02 2343·
 1986 03 136·
 1986 04 9144.
 1986 05 2137·
 1986 06 7642.
 1986 07 7251.
 1986 08 5947.
 1986 09 4858·
 1986 10 6353·
 1986 11 1542.
 1986 12 841.
 1987 01  5938.
 1987 02  5848.
 1987 03  3753·
 1987 04  7549.
 1987 05  2557.
 1987 06  6456.
 1987 07  7055.
 1987 08  2551.
 1987 09  3978·
 1987 10  545·
 1987 11  7028·
 1987 12  4442·
 1988 01 2164·
 1988 02 3156.
 1988 03 1966·
 1988 04 4654.
 1988 05 1456·
 1988 06 1863.
 1988 07 2458·
 1988 08 6954.
 1988 09 8845.
 1988 10 6650·
 1988 11 1575.
 1988 12 7462·
 1989 01  3653.
 1989 02  145·
 1989 03  5160.
 1989 04  5135.
 1989 05  7961.
 1989 06  7343·
 1989 07  1254.
 1989 08  1257.
 1989 09  6065.
 1989 10  5858·
 1989 11  448·
 1989 12  9540.
 1990 01 4832·
 1990 02 5549.
 1990 03 6147.
 1990 04 6352·
 1990 05 3750·
 1990 06 9040.
 1990 07 3840.
 1990 08 344·
 1990 09 4753.
 1990 10 1431·
 1990 11 1744.
 1990 12 3038.
 1991 01  2123.
 1991 02  228.
 1991 03  441.
 1991 04  8048.
 1991 05  3032.
 1991 06  5543·
 1991 07  3246·
 1991 08  1656.
 1991 09  6634·
 1991 10  9744·
 1991 11  5743·
 1991 12  2739.
 1992 01 4930.
 1992 02 7933·
 1992 03 6042·
 1992 04 2538.
 1992 05 2451·
 1992 06 7733.
 1992 07 4831.
 1992 08 4827.
 1992 09 5927·
 1992 10 9127·
 1992 11 5446.
 1992 12 5936·
 1993 01  4929·
 1993 02  4630·
 1993 03  3239·
 1993 04  4636·
 1993 05  1228.
 1993 06  9318.
 1993 07  6626.
 1993 08  2231·
 1993 09  9343.
 1993 10  837.
 1993 11  6233·
 1993 12  2437.
 1994 01 6136·
 1994 02 8924·
 1994 03 5126.
 1994 04 1638.
 1994 05 1035·
 1994 06 6435.
 1994 07 9024·
 1994 08 8623·
 1994 09 5917·
 1994 10 8115·
 1994 11 609.
 1994 12 458.
 1995 01  538·
 1995 02  187.
 1995 03  6915·
 1995 04  3421·
 1995 05  6020·
 1995 06  7313.
 1995 07  4810.
 1995 08  139.
 1995 09  7525·
 1995 10  7316.
 1995 11  5410.
 1995 12  7110·
 1996 01 177·
 1996 02 6812.
 1996 03 6719.
 1996 04 2110.
 1996 05 2920.
 1996 06 3335.
 1996 07 9627.
 1996 08 227·
 1996 09 8224.
 1996 10 6930.
 1996 11 7123.
 1996 12 7429·
 1997 01  6938·
 1997 02  124.
 1997 03  5025.
 1997 04  2829.
 1997 05  934·
 1997 06  7921.
 1997 07  1317.
 1997 08  7517.
 1997 09  477·
 1997 10  7915·
 1997 11  677·
 1997 12  5318.
 1998 01 5121.
 1998 02 122.
 1998 03 4521·
 1998 04 2520.
 1998 05 1618.
 1998 06 7120·
 1998 07 215·
 1998 08 8014.
 1998 09 6116·
 1998 10 3917·
 1998 11 2117.
 1998 12 3015.
 1999 01  309.
 1999 02  8012.
 1999 03  712.
 1999 04  124·
 1999 05  92
 1999 06  9517·
 1999 07  946.
 1999 08  9114.
 1999 09  4210.
 1999 10  916.
 1999 11  3621·
 1999 12  5314.
 2000 01 9823.
 2000 02 7215·
 2000 03 1721.
 2000 04 1218.
 2000 05 56·
 2000 06 61
 2000 07 4210.
 2000 08 521.
 2000 09 316.
 2000 10 7521·
 2000 11 4329.
 2000 12 9613·
 2001 01  7118.
 2001 02  39
 2001 03  7721·
 2001 04  7216.
 2001 05  4516.
 2001 06  513.
 2001 07  260.
 2001 08  466·
 2001 09  959·
 2001 10  4710.
 2001 11  969·
 2001 12  5618·
 2002 01 9215.
 2002 02 669.
 2002 03 189.
 2002 04 65
 2002 05 2911·
 2002 06 887·
 2002 07 5011.
 2002 08 6121·
 2002 09 2622.
 2002 10 6220.
 2002 11 7317.
 2002 12 5711·
 2003 01  2710.
 2003 02  6411·
 2003 03  9427.
 2003 04  9123·
 2003 05  028·
 2003 06  9423.
 2003 07  4419.
 2003 08  2519.
 2003 09  4123.
 2003 10  7811·
 2003 11  806·
 2003 12  4710.
 2004 01 6820·
 2004 02 678.
 2004 03 8314·
 2004 04 7112.
 2004 05 2513·
 2004 06 3514·
 2004 07 6116·
 2004 08 3329·
 2004 09 8123·
 2004 10 8314.
 2004 11 4511·
 2004 12 985·
 2005 01  313·
 2005 02  379·
 2005 03  913.
 2005 04  5310.
 2005 05  948.
 2005 06  468.
 2005 07  8110·
 2005 08  1114·
 2005 09  14
 2005 10  873·
 2005 11  235·
 2005 12  9
 2006 01 591.
 2006 02 597·
 2006 03 4614·
 2006 04 1224·
 2006 05 2517·
 2006 06 8822·
 2006 07 925·
 2006 08 522·
 2006 09 3023.
 2006 10 2513·
 2006 11 9212.
 2006 12 3
 2007 01  1913·
 2007 02  4415.
 2007 03  315.
 2007 04  4411·
 2007 05  6012·
 2007 06  462.
 2007 07  73
 2007 08  894.
 2007 09  4812.
 2007 10  5721.
 2007 11  5929·
 2007 12  2826·
 2008 01 118.
 2008 02 27
 2008 03 4115·
 2008 04 7310·
 2008 05 6513.
 2008 06 3114·
 2008 07 2810.
 2008 08 615·
 2008 09 810.
 2008 10 7010.
 2008 11 519.
 2008 12 573·
 2009 03  245.
 2009 04  693·
 2009 05  651·
 2009 06  471.
 2009 07  323.
 2009 08  785.
 2009 09  548.
 2009 10  447.
 2009 11  7712·
 2009 12  7318.
 2010 01 227·
 2010 02 8711.
 2010 03 289.
 2010 04 5510.
 2010 05 311·
 2010 06 3913·
 2010 07 7910·
 2010 08 48
 2010 09 5311·
 2010 10 8613·
 2010 11 4818·
 2010 12 319.
 2011 01  5421·
 2011 02  436.
 2011 03  8120.
 2011 04  9621.
 2011 05  1115·
 2011 06  4614·
 2011 07  4610·
 2011 08  2611.
 2011 09  5712·
 2011 10  600.
 2011 11  374.
 2011 12  202.
 2012 01 4810·
 2012 02 718.
 2012 03 7412.
 2012 04 275.
 2012 05 673.
 2012 06 937·
 2012 07 05.
 2012 08 2310·
 2012 09 1913.
 2012 10 6415·
 2012 11 863·
 2012 12 92·
 2013 01  363.
 2013 02  463.
 2013 03  2412·
 2013 04  97.
 2013 05  759·
 2013 06  2712.
 2013 07  346.
 2013 08  7513.
 2013 09  182.
 2013 10  212.
 2013 11  612·
 2013 12  810.
 2014 01 703.
 2014 02 651.
 2014 03 730.
 2014 04 282.
 2014 05 655·
 2014 06 226·
 2014 07 647·
 2014 08 424·
 2014 09 583.
 2014 10 793.
 2014 11 556.
 2014 12 7213·
 2015 01  321.
 2015 02  5116.
 2015 03  8816·
 2015 04  943.
 2015 05  923·
 2015 06  747.
 2015 07  338·
 2015 08  96·
 2015 09  708.
 2015 10  123·
 2015 11  8415·
 2015 12  415·
 2016 01 237·
 2016 02 525·
 2016 03 606·
 2016 04 425·
 2016 05 343.
 2016 06 814·
 2016 07 618.
 2016 08 8718.


 2016 09 715.
 2016 10 1610·
 2016 11 903·
 2016 12 766·
 2017 01  75
 2017 02  411.
 2017 03  60.
 2017 04  34
 2017 05  951.
 2017 06  701·
 2017 07  750.
 2017 08  120·
 2017 09  490.
 2017 10  160·
 2017 11  40
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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

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