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 Series Title: Total At Work in Nonagricultural Industries, Unpaid Family Workers, Worked 1-34 Hours, for Economic Reasons: 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 8414.
 1976 07 909·
 1976 08 3111.
 1976 09 2313.
 1976 10 310.
 1976 11 156·
 1976 12 116·
 1977 01  349.
 1977 02  7017.
 1977 03  1920.
 1977 04  527.
 1977 05  2615·
 1977 06  3530.
 1977 07  8517·
 1977 08  9910.
 1977 09  42
 1977 10  731.
 1977 11  189·
 1977 12  788·
 1978 01 5111.
 1978 02 849.
 1978 03 5113·
 1978 04 5414.
 1978 05 4814·
 1978 06 9516.
 1978 07 4115·
 1978 08 1327.
 1978 09 5118·
 1978 10 5616·
 1978 11 6822.
 1978 12 6917·
 1979 01  413·
 1979 02  418.
 1979 03  4021.
 1979 04  598.
 1979 05  7818.
 1979 06  5227·
 1979 07  8820·
 1979 08  4615·
 1979 09  658.
 1979 10  1315.
 1979 11  694.
 1979 12  1912.
 1980 01 8515.
 1980 02 769·
 1980 03 6515·
 1980 04 9016·
 1980 05 8220.
 1980 06 1529.
 1980 07 8122.
 1980 08 9725.
 1980 09 2623·
 1980 10 3110.
 1980 11 5113.
 1980 12 39·
 1981 01  1018.
 1981 02  498.
 1981 03  3013·
 1981 04  969.
 1981 05  5417.
 1981 06  2020.
 1981 07  9912.
 1981 08  8915.
 1981 09  223.
 1981 10  1924·
 1981 11  679·
 1981 12  1915·
 1982 01 2219·
 1982 02 4619.
 1982 03 6427·
 1982 04 5012·
 1982 05 914·
 1982 06 2725·
 1982 07 4719.
 1982 08 6926·
 1982 09 8327·
 1982 10 1327·
 1982 11 9714.
 1982 12 9021·
 1983 01  8712.
 1983 02  7818·
 1983 03  2222·
 1983 04  5024·
 1983 05  9028.
 1983 06  2321.
 1983 07  5218.
 1983 08  1110.
 1983 09  8714·
 1983 10  735.
 1983 11  4536.
 1983 12  6338.
 1984 01 9727·
 1984 02 8016.
 1984 03 8318.
 1984 04 1813·
 1984 05 6316·
 1984 06 1720·
 1984 07 7119.
 1984 08 1315.
 1984 09 5619·
 1984 10 8613.
 1984 11 4112·
 1984 12 1224·
 1985 01  6917.
 1985 02  1212·
 1985 03  5114·
 1985 04  311.
 1985 05  2111.
 1985 06  4524·
 1985 07  816.
 1985 08  985.
 1985 09  5614·
 1985 10  629·
 1985 11  3913·
 1985 12  358·
 1986 01 4412.
 1986 02 6111.
 1986 03 5613.
 1986 04 7717.
 1986 05 79
 1986 06 688.
 1986 07 8819.
 1986 08 138.
 1986 09 7911·
 1986 10 3524.
 1986 11 1816.
 1986 12 558.
 1987 01  9011.
 1987 02  3619·
 1987 03  5119·
 1987 04  4013·
 1987 05  799·
 1987 06  727.
 1987 07  2116·
 1987 08  3210.
 1987 09  4218·
 1987 10  6814.
 1987 11  8211·
 1987 12  196.
 1988 01 9815.
 1988 02 7413.
 1988 03 1725·
 1988 04 147·
 1988 05 9013.
 1988 06 6611·
 1988 07 3310.
 1988 08 538·
 1988 09 876·
 1988 10 4417·
 1988 11 6114·
 1988 12 211·
 1989 01  8521.
 1989 02  349.
 1989 03  5816·
 1989 04  46
 1989 05  19.
 1989 06  869.
 1989 07  59·
 1989 08  010·
 1989 09  8017.
 1989 10  7616·
 1989 11  99.
 1989 12  08·
 1990 01 9215·
 1990 02 311.
 1990 03 25·
 1990 04 1110.
 1990 05 3014.
 1990 06 949.
 1990 07 4011.
 1990 08 1912·
 1990 09 147·
 1990 10 9815.
 1990 11 511·
 1990 12 388·
 1991 01  8813·
 1991 02  918·
 1991 03  414.
 1991 04  511·
 1991 05  206.
 1991 06  735.
 1991 07  6813.
 1991 08  84
 1991 09  515·
 1991 10  7110·
 1991 11  5411·
 1991 12  6220.
 1992 01 6215.
 1992 02 3310.
 1992 03 4414.
 1992 04 5318.
 1992 05 3618·
 1992 06 3626·
 1992 07 4419·
 1992 08 9416.
 1992 09 9514.
 1992 10 8015·
 1992 11 854·
 1992 12 473·
 1993 01  3318.
 1993 02  9115·
 1993 03  2516·
 1993 04  212·
 1993 05  7010·
 1993 06  1810.
 1993 07  459.
 1993 08  709.
 1993 09  504.
 1993 10  375·
 1993 11  5216·
 1993 12  9014.
 1994 02 428·
 1994 03 4815·
 1994 04 783.
 1994 05 255.
 1994 06 4020·
 1994 07 787.
 1994 08 789.
 1994 09 624·
 1994 10 631·
 1994 11 764.
 1994 12 350·
 1995 02  143·
 1995 03  553.
 1995 04  173.
 1995 05  55
 1995 06  200.
 1995 07  866.
 1995 08  36.
 1995 09  703·
 1995 10  4210·
 1995 11  506·
 1995 12  58
 1996 01 377.
 1996 02 680·
 1996 03 656.
 1996 04 334·
 1996 05 378.
 1996 06 1117.
 1996 07 774·
 1996 08 33.
 1996 09 773.
 1996 11 87.
 1996 12 5311.
 1997 01  699·
 1997 02  897·
 1997 03  2412.
 1997 04  894.
 1997 05  56
 1997 06  287.
 1997 07  4510.
 1997 08  35·
 1997 10  149·
 1997 11  780.
 1998 01 846.
 1998 02 392.
 1998 03 191.
 1998 04 4413·
 1998 05 809.
 1998 06 68
 1998 07 71
 1998 08 581·
 1998 09 954.
 1998 10 816.
 1998 11 965.
 1998 12 765.
 1999 01  1713·
 1999 02  00.
 1999 03  444·
 1999 04  812.
 1999 06  593.
 1999 07  683·
 1999 08  903.
 1999 09  790.
 1999 10  601.
 1999 11  546·
 2000 01 354·
 2000 03 27·
 2000 04 819·
 2000 05 536·
 2000 06 48.
 2000 08 610·
 2000 10 113.
 2000 11 822.
 2000 12 482·
 2001 01  734.
 2001 02  62
 2001 03  8811·
 2001 04  42
 2001 05  95.
 2001 06  732·
 2001 07  381·
 2001 08  863·
 2001 09  47
 2001 10  66.
 2001 11  274.
 2001 12  513.
 2002 01 4212·
 2002 02 50
 2002 03 747.
 2002 04 519·
 2002 05 773·
 2002 06 1611.
 2002 08 244.
 2002 11 9813.
 2003 01  58
 2003 02  443.
 2003 03  455.
 2003 04  474·
 2003 05  1719·
 2003 06  9613·
 2003 07  315.
 2003 08  244·
 2003 09  1010·
 2003 10  604.
 2003 11  114·
 2003 12  789·
 2004 01 2011·
 2004 02 486.
 2004 03 17·
 2004 05 856.
 2004 07 521.
 2004 08 993.
 2004 09 987.
 2004 10 469·
 2004 11 383·
 2004 12 753·
 2005 01  882.
 2005 02  854·
 2005 03  3513·
 2005 04  65
 2005 06  882.
 2005 07  542.
 2005 08  256.
 2005 09  82
 2005 10  447·
 2005 11  270.
 2005 12  148·
 2006 01 62
 2006 02 241·
 2006 03 56.
 2006 04 348.
 2006 06 6910.
 2006 07 236.
 2006 09 142·
 2006 11 427.
 2007 02  921.
 2007 03  608.
 2007 04  33.
 2007 05  18
 2007 06  423.
 2007 07  782.
 2007 08  4912.
 2007 09  719·
 2007 11  583.
 2007 12  486·
 2008 01 511·
 2008 02 314·
 2008 03 34·
 2008 04 6211·
 2008 05 3511.
 2008 06 557·
 2008 07 6410.
 2008 08 413·
 2008 09 523.
 2008 10 250·
 2008 11 554·
 2008 12 298·
 2009 01  767.
 2009 02  475.
 2009 03  1321·
 2009 04  940·
 2009 05  9
 2009 06  5310·
 2009 07  13.
 2009 08  3013·
 2009 09  74
 2009 10  05·
 2009 11  76.
 2009 12  585.
 2010 01 2411.
 2010 02 6916.
 2010 03 458·
 2010 04 203.
 2010 05 340·
 2010 06 6711.
 2010 07 5117·
 2010 08 87
 2010 09 210.
 2010 10 267·
 2010 11 8911.
 2010 12 5210.
 2011 01  5611.
 2011 02  23·
 2011 03  4614.
 2011 04  3416.
 2011 05  46
 2011 06  773·
 2011 07  375·
 2011 08  786.
 2011 09  467·
 2011 10  57
 2011 11  978.
 2011 12  527.
 2012 01 584.
 2012 02 749·
 2012 03 915·
 2012 04 520.
 2012 05 63.
 2012 06 853·
 2012 07 64·
 2012 08 957.
 2012 09 413.
 2012 10 7210·
 2012 11 5510.
 2012 12 2714.
 2013 01  39
 2013 02  417·
 2013 03  779·
 2013 04  156.
 2013 05  994·
 2013 06  237·
 2013 07  3311·
 2013 08  5517·
 2013 09  481·
 2013 10  760·
 2013 11  125·
 2013 12  660·
 2014 01 355.
 2014 02 80
 2014 03 263·
 2014 04 911.
 2014 05 377·
 2014 06 440.
 2014 07 1516·
 2014 08 12·
 2014 09 531·
 2014 10 9711.
 2014 11 390.
 2014 12 887.
 2015 01  8
 2015 02  984·
 2015 03  88
 2015 04  727.
 2015 05  543·
 2015 06  279·
 2015 07  748.
 2015 08  970.
 2015 09  650.
 2015 10  912.
 2015 11  363·
 2015 12  336·
 2016 01 421.
 2016 02 2210.
 2016 03 352.
 2016 04 744·
 2016 05 115·
 2016 06 762.


 2016 07 6010·
 2016 08 3819.
 2016 09 213.
 2016 10 363·
 2016 11 249·
 2016 12 70
 2017 01  48
 2017 02  712·
 2017 03  656·
 2017 04  380·
 2017 05  935·
 2017 06  223.
 2017 07  450·
 2017 08  383.
 2017 09  81
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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: Total At Work in Nonagricultural Industries, Unpaid Family Workers, Worked 1-34 Hours, for Economic Reasons: 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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