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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 65 years and over, Men: 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 94
 1976 07 316.
 1976 08 185.
 1976 09 524·
 1976 10 557·
 1976 11 484·
 1976 12 575.
 1977 01  36
 1977 02  2010.
 1977 03  216·
 1977 04  356.
 1977 05  569·
 1977 06  3910·
 1977 07  748·
 1977 08  646·
 1977 09  568·
 1977 10  884·
 1977 11  704·
 1977 12  822.
 1978 01 53·
 1978 02 663·
 1978 03 2115.
 1978 04 539.
 1978 05 9814.
 1978 06 013·
 1978 07 867.
 1978 08 634.
 1978 09 545.
 1978 10 407.
 1978 11 444.
 1978 12 26
 1979 01  16
 1979 03  616.
 1979 04  33·
 1979 05  8010.
 1979 06  554.
 1979 07  643.
 1979 08  95
 1979 09  888·
 1979 10  645.
 1979 11  74
 1979 12  754·
 1980 01 374.
 1980 02 627·
 1980 03 406.
 1980 04 274.
 1980 05 41
 1980 06 935·
 1980 07 403.
 1980 08 565.
 1980 09 371·
 1980 10 276·
 1980 11 735.
 1980 12 938·
 1981 01  88
 1981 02  583·
 1981 03  647.
 1981 04  974·
 1981 05  825.
 1981 06  58·
 1981 07  653·
 1981 08  481·
 1981 09  324·
 1981 10  123.
 1981 11  492.
 1981 12  522·
 1982 01 764.
 1982 02 475·
 1982 03 1817·
 1982 04 4312.
 1982 05 775·
 1982 06 62.
 1982 07 982·
 1982 08 751.
 1982 09 224·
 1982 10 81.
 1982 11 381.
 1982 12 321.
 1983 01  252.
 1983 02  963·
 1983 03  135·
 1983 04  194.
 1983 05  246.
 1983 06  394.
 1983 07  259.
 1983 08  684·
 1983 09  81
 1983 10  335·
 1983 11  992.
 1983 12  354.
 1984 02 842·
 1984 03 956·
 1984 04 84
 1984 05 44·
 1984 06 46
 1984 07 717.
 1984 08 586.
 1984 09 796.
 1984 10 53·
 1984 11 297.
 1984 12 188·
 1985 01  938.
 1985 02  243.
 1985 03  633.
 1985 04  931.
 1985 05  25.
 1985 06  914·
 1985 07  937.
 1985 08  304.
 1985 09  883.
 1985 10  181·
 1985 11  623·
 1985 12  72.
 1986 01 583·
 1986 02 444·
 1986 04 415.
 1986 05 231.
 1986 06 443.
 1986 07 323.
 1986 08 224·
 1986 09 48·
 1986 10 17.
 1986 11 697·
 1986 12 257.
 1987 01  05·
 1987 02  119·
 1987 03  689·
 1987 04  9510.
 1987 05  876.
 1987 06  823·
 1987 07  679.
 1987 08  0
 1987 09  648·
 1987 10  454·
 1987 11  291.
 1987 12  342·
 1988 01 584·
 1988 02 562.
 1988 03 422·
 1988 04 1815.
 1988 05 1920.
 1988 06 976·
 1988 07 19
 1988 08 945.
 1988 09 222·
 1988 10 753.
 1988 11 984·
 1989 01  315.
 1989 02  676·
 1989 03  2210·
 1989 04  4110.
 1989 05  254.
 1989 06  8010·
 1989 07  937.
 1989 08  375.
 1989 09  957.
 1989 10  115.
 1989 11  715·
 1989 12  984·
 1990 01 8310.
 1990 02 373.
 1990 03 639·
 1990 04 626.
 1990 05 609·
 1990 06 569·
 1990 07 9912.
 1990 08 93
 1990 09 203·
 1990 10 946.
 1990 11 3712·
 1990 12 77
 1991 01  8213.
 1991 02  37·
 1991 03  584.
 1991 04  293.
 1991 05  895·
 1991 06  57
 1991 08  694.
 1991 09  859.
 1991 10  126.
 1991 11  5613·
 1991 12  27·
 1992 01 98·
 1992 02 436·
 1992 03 277.
 1992 04 128·
 1992 05 888.
 1992 06 4
 1992 07 195.
 1992 08 8310·
 1992 09 368·
 1992 10 362·
 1992 11 77·
 1992 12 204·
 1993 01  915.
 1993 02  105.
 1993 03  934·
 1993 04  5511.
 1993 05  1510·
 1993 06  206·
 1993 07  19.
 1993 08  4514·
 1993 09  9515.
 1993 10  857·
 1993 11  839.
 1993 12  7111·
 1994 01 468·
 1994 02 49
 1994 03 134.
 1994 04 403·
 1994 05 53·
 1994 06 813.
 1994 07 912.
 1994 08 844·
 1994 09 354·
 1994 10 763·
 1994 11 445·
 1994 12 594·
 1995 01  232.
 1995 02  523·
 1995 03  213.
 1995 04  461.
 1995 05  836.
 1995 06  532·
 1995 07  984·
 1995 08  545·
 1995 09  533.
 1995 10  50
 1995 11  762.
 1995 12  132.
 1996 01 942.
 1996 02 352·
 1996 03 791·
 1996 04 790.
 1996 05 972.
 1996 07 284.
 1996 08 592·
 1996 09 352.
 1996 10 722.
 1996 11 74
 1996 12 891.
 1997 01  870·
 1997 02  581.
 1997 03  414.
 1997 04  724.
 1997 05  676·
 1997 06  1910·
 1997 07  231·
 1997 08  322·
 1997 09  321.
 1997 10  412.
 1997 11  404.
 1998 01 201.
 1998 02 623·
 1998 03 383.
 1998 04 357·
 1998 05 10
 1998 06 651.
 1998 07 474·
 1998 08 792·
 1998 09 52·
 1998 11 736·
 1998 12 338.
 1999 01  643·
 1999 02  286·
 1999 03  415·
 1999 04  816.
 1999 05  114·
 1999 06  30
 1999 07  529.
 1999 08  6
 1999 09  634·
 1999 10  874.
 1999 11  125.
 1999 12  453.
 2000 01 893.
 2000 02 993.
 2000 03 535·
 2000 04 616·
 2000 05 847.
 2000 06 91
 2000 07 325.
 2000 08 42
 2000 09 671.
 2000 11 140·
 2000 12 300·
 2001 01  16·
 2001 02  8114·
 2001 03  43
 2001 04  538·
 2001 05  7620·
 2001 06  9715·
 2001 07  795.
 2001 08  344·
 2001 09  293.
 2001 10  86.
 2002 01 473·
 2002 02 305.
 2002 03 495·
 2002 04 3310·
 2002 05 977.
 2002 06 204.
 2002 07 484·
 2002 08 162.
 2002 10 53.
 2002 11 140.
 2003 07  657.
 2003 08  278.
 2003 09  713.
 2003 10  411.
 2003 12  615.
 2004 01 603.
 2004 02 205.
 2004 04 591·
 2004 05 26
 2004 06 331.
 2004 09 41.
 2004 11 4910.
 2004 12 726·
 2005 01  929·
 2005 02  96
 2005 03  183.
 2005 04  377·
 2005 05  54.
 2005 06  993.
 2005 07  986.
 2005 08  833.
 2005 09  66
 2005 10  378·
 2005 11  459·
 2005 12  0
 2006 01 949.
 2006 02 60
 2006 03 413·
 2006 05 983·
 2006 06 343.
 2006 08 433.
 2006 09 925.
 2006 10 185.
 2006 11 555.
 2006 12 897.
 2007 01  31
 2007 02  20
 2007 03  505.
 2007 04  202·
 2007 05  131.
 2007 06  947·
 2007 07  408.
 2007 08  894·
 2007 09  214·
 2007 10  527.
 2007 11  671·
 2007 12  711.
 2008 01 605·
 2008 02 315·
 2008 03 24.
 2008 04 652.
 2008 05 643·
 2008 06 965.
 2008 07 380.
 2008 10 974.
 2008 11 883.
 2009 02  345.
 2009 03  952·
 2009 04  184.
 2009 05  132·
 2009 06  572.
 2009 07  162.
 2009 08  34·
 2009 09  484·
 2009 10  44.
 2009 11  723.
 2009 12  523.
 2010 01 223·
 2010 02 376.
 2010 03 556.
 2010 04 912.
 2010 05 940·
 2010 06 445·
 2010 07 854·
 2010 08 710·
 2010 09 44
 2010 10 393.
 2010 11 73.
 2010 12 652.
 2011 01  791·
 2011 02  594.
 2011 03  894.
 2011 04  760.
 2011 05  31
 2011 06  673.
 2011 07  25
 2011 08  283.
 2011 09  570.
 2011 10  511·
 2011 11  350.
 2011 12  729.
 2012 01 386.
 2012 02 24
 2012 03 6310.
 2012 04 839.
 2012 05 807·
 2012 06 238·
 2012 07 78
 2012 08 624·
 2012 09 162.
 2012 10 122·
 2012 11 742.
 2012 12 333·
 2013 01  23.
 2013 02  788·
 2013 03  706.
 2013 04  484.
 2013 05  192.
 2013 06  355·
 2013 07  110.
 2013 08  813.
 2013 09  751.
 2013 10  200·
 2013 11  650.
 2013 12  331·
 2014 01 112·
 2014 02 9614.
 2014 03 26
 2014 04 3012·
 2014 05 531.
 2014 06 511.
 2014 07 156·
 2014 08 226.
 2014 09 147.
 2014 10 993.
 2014 11 740.
 2014 12 84
 2015 01  909.
 2015 02  7610·
 2015 03  749·
 2015 04  175·
 2015 05  121·
 2015 06  451.
 2015 07  85.
 2015 08  454.
 2015 09  374·
 2015 10  957.
 2015 11  956·
 2015 12  204·
 2016 01 47
 2016 02 394.
 2016 03 790.
 2016 04 170.
 2016 05 480.
 2016 06 14


 2016 07 307.
 2016 08 363.
 2016 09 739.
 2016 10 843.
 2016 11 423.
 2016 12 30.
 2017 01  770.
 2017 02  353.
 2017 03  340.
 2017 04  670.
 2017 05  420·
 2017 06  820·
 2017 07  501.
 2017 08  50.
 2017 09  761.
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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, 65 years and over, Men: 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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