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 Series Title: Unemployment Level: 75 years and over, White Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1981 01  889.
 1981 02  6114.
 1981 03  789·
 1981 04  98.
 1981 05  514.
 1981 06  15·
 1981 07  588.
 1981 08  525·
 1981 09  942.
 1981 10  51
 1981 11  514.
 1981 12  64·
 1982 01 662.
 1982 02 942.
 1982 03 704.
 1982 04 151.
 1982 05 426·
 1982 06 366.
 1982 07 545.
 1982 08 484·
 1982 09 236.
 1982 10 98.
 1982 11 645.
 1982 12 06.
 1983 01  3510.
 1983 02  706.
 1983 03  908.
 1983 04  9010.
 1983 05  288·
 1983 06  04·
 1983 07  437·
 1983 08  616.
 1983 09  766.
 1983 10  62·
 1983 11  628.
 1983 12  84
 1984 01 822.
 1984 02 192·
 1984 03 102.
 1984 04 524.
 1984 05 692·
 1984 07 961.
 1984 08 754·
 1984 09 843·
 1984 10 892.
 1984 11 196.
 1984 12 684·
 1985 01  244.
 1985 02  164.
 1985 03  94
 1985 04  301.
 1985 05  425·
 1985 06  525.
 1985 07  537.
 1985 08  214·
 1985 09  322·
 1985 10  21
 1985 11  536·
 1985 12  306.
 1986 01 135·
 1986 02 74
 1986 03 764.
 1986 04 711.
 1986 05 285·
 1986 06 865·
 1986 07 27
 1986 08 804.
 1986 09 486·
 1986 10 5810.
 1986 11 393.
 1986 12 214.
 1987 01  661.
 1987 02  159·
 1987 03  685.
 1987 04  828·
 1987 05  15.
 1987 06  83·
 1987 07  967.
 1987 08  756.
 1987 09  98
 1987 10  112·
 1987 11  295·
 1987 12  392.
 1988 01 267.
 1988 02 263·
 1988 03 991·
 1988 04 369.
 1988 05 799·
 1988 06 777·
 1988 07 647.
 1988 08 543.
 1988 09 757·
 1988 10 165.
 1989 01  31.
 1989 02  63.
 1989 03  602.
 1989 04  169.
 1989 06  254.
 1989 07  312.
 1989 09  23.
 1989 10  801.
 1989 11  613·
 1989 12  905.
 1990 01 954·
 1990 02 3210·
 1990 03 667·
 1990 04 726·
 1990 05 597.
 1990 06 22
 1990 07 248·
 1990 08 904.
 1990 09 372.
 1990 10 273.
 1990 11 411.
 1990 12 814·
 1991 01  993.
 1991 02  466.
 1991 03  479.
 1991 04  911.
 1991 05  4012·
 1991 06  48.
 1991 07  16.
 1991 08  619·
 1991 09  773.
 1991 10  532·
 1991 11  835.
 1991 12  505·
 1992 01 558.
 1992 02 678.
 1992 03 03.
 1992 04 154.
 1992 05 445.
 1992 06 4810·
 1992 07 853.
 1992 08 177·
 1992 09 387.
 1992 10 1913·
 1992 11 92
 1992 12 468.
 1993 01  557·
 1993 02  3314·
 1993 03  513·
 1993 04  136·
 1993 05  406.
 1993 06  639.
 1993 07  297.
 1993 08  5720.
 1993 09  6211.
 1993 10  119·
 1993 11  974·
 1993 12  406·
 1994 01 1513.
 1994 02 29.
 1994 03 658·
 1994 04 517·
 1994 05 1818.
 1994 06 8610.
 1994 07 1514·
 1994 08 230.
 1994 09 1613·
 1994 10 3912·
 1994 11 5310.
 1994 12 32
 1995 01  775·
 1995 02  6112.
 1995 03  1013·
 1995 04  313·
 1995 05  968·
 1995 06  7813.
 1995 07  4514·
 1995 08  26.
 1995 09  9118·
 1995 10  3918·
 1995 11  3716.
 1995 12  4412·
 1996 01 89·
 1996 02 2019·
 1996 03 9512.
 1996 04 665.
 1996 05 1410.
 1996 06 236·
 1996 07 496·
 1996 08 3012·
 1996 09 58.
 1996 10 719·
 1996 11 5611·
 1996 12 2410·
 1997 01  992·
 1997 02  15
 1997 03  988·
 1997 04  637.
 1997 05  405·
 1997 06  324·
 1997 07  821.
 1997 08  8212·
 1997 09  999·
 1997 10  20
 1997 11  3812.
 1997 12  4612.
 1998 01 685.
 1998 02 611.
 1998 03 2410.
 1998 04 428.
 1998 05 675.
 1998 06 4110.
 1998 07 2216.
 1998 08 8314.
 1998 09 3911·
 1998 10 987·
 1998 11 3822·
 1998 12 813.
 1999 01  565.
 1999 02  7912.
 1999 03  3
 1999 04  7714.
 1999 05  914.
 1999 06  1011·
 1999 07  7411·
 1999 08  8121.
 1999 09  1917.
 1999 10  4014.
 1999 11  344.
 1999 12  318·
 2000 01 3013·
 2000 02 4514.
 2000 03 8810.
 2000 04 6618.
 2000 05 107.
 2000 06 258.
 2000 07 6813.
 2000 08 484.
 2000 09 549.
 2000 10 613·
 2000 11 3114.
 2000 12 658.
 2001 01  812.
 2001 02  3813·
 2001 03  5914·
 2001 04  316.
 2001 05  363·
 2001 06  9710·
 2001 07  5713·
 2001 08  8314.
 2001 09  8716·
 2001 10  8217·
 2001 11  5924.
 2001 12  8320.
 2002 01 287.
 2002 02 207.
 2002 03 193·
 2002 04 215·
 2002 05 7912·
 2002 06 6014·
 2002 07 2112.
 2002 08 86.
 2002 09 8316.
 2002 10 79
 2002 11 71
 2002 12 8319·
 2003 01  1113.
 2003 02  769.
 2003 03  021·
 2003 04  810·
 2003 05  5510.
 2003 06  7611.
 2003 07  659·
 2003 08  7212·
 2003 09  3611.
 2003 10  3118.
 2003 11  4721·
 2003 12  8713.
 2004 01 9732·
 2004 02 1619·
 2004 03 5424.
 2004 04 9123·
 2004 05 79·
 2004 06 3012·
 2004 07 166.
 2004 08 4717·
 2004 09 6115.
 2004 10 029.
 2004 11 9137·
 2004 12 4411·
 2005 01  7826·
 2005 02  7639.
 2005 03  6119·
 2005 04  9322·
 2005 05  110.
 2005 06  3319·
 2005 07  3119·
 2005 08  3317·
 2005 09  112.
 2005 10  7219.
 2005 11  3326·
 2005 12  268·
 2006 01 7120.
 2006 02 1712·
 2006 03 2516.
 2006 04 6114·
 2006 05 3012.
 2006 06 2015.
 2006 07 8716.
 2006 08 5112.
 2006 09 2212.
 2006 10 5612·
 2006 11 279.
 2006 12 3311·
 2007 01  1718·
 2007 02  2517.
 2007 03  7610.
 2007 04  7011·
 2007 05  920·
 2007 06  5214.
 2007 07  9026.
 2007 08  5019·
 2007 09  169·
 2007 10  8832·
 2007 11  5223·
 2007 12  8616.
 2008 01 8421·
 2008 02 924.
 2008 03 6819·
 2008 04 1619.
 2008 05 8122.
 2008 06 1420·
 2008 07 6910·
 2008 08 325.
 2008 09 018.
 2008 10 2913·
 2008 11 1230·
 2008 12 3432·
 2009 01  6322.
 2009 02  526.
 2009 03  8025.
 2009 04  2340·
 2009 05  1242·
 2009 06  1629.
 2009 07  7818·
 2009 08  724.
 2009 09  1637.
 2009 10  6434·
 2009 11  3831.
 2009 12  5036.
 2010 01 7136.
 2010 02 7429.
 2010 03 1640.
 2010 04 3929.
 2010 05 9431·
 2010 06 9521.
 2010 07 9539·
 2010 08 8740.
 2010 09 3141.
 2010 10 440.
 2010 11 8239·
 2010 12 3249.
 2011 01  5042.
 2011 02  139.
 2011 03  733.
 2011 04  3727·
 2011 05  4540·
 2011 06  1139.
 2011 07  2727.
 2011 08  9034.
 2011 09  3636.
 2011 10  8535.
 2011 11  2444·
 2011 12  438·
 2012 01 6635·
 2012 02 9832·
 2012 03 532.
 2012 04 1625·
 2012 05 528.
 2012 06 5042.
 2012 07 132·
 2012 08 8931·
 2012 09 4732·
 2012 10 6718.
 2012 11 6933·
 2012 12 1222.
 2013 01  1240·
 2013 02  9925·
 2013 03  9130.
 2013 04  9734·
 2013 05  4229·
 2013 06  2125·
 2013 07  7337·
 2013 08  8219.
 2013 09  831.
 2013 10  3514·
 2013 11  4626.
 2013 12  3027.
 2014 01 423·
 2014 02 6513.
 2014 03 6826·
 2014 04 2928·
 2014 05 4833.
 2014 06 6124.
 2014 07 2030.
 2014 08 9223·
 2014 09 8522·
 2014 10 015.
 2014 11 923.
 2014 12 5719·
 2015 01  8423·
 2015 02  8124.
 2015 03  6734.
 2015 04  8631.
 2015 05  3818.
 2015 06  3012.
 2015 07  4917.
 2015 08  6815.
 2015 09  6940.
 2015 10  9720·
 2015 11  3816·
 2015 12  1524·
 2016 01 1836·
 2016 02 5923.
 2016 03 4028.
 2016 04 6527.
 2016 05 5620.
 2016 06 1425.
 2016 07 8824·
 2016 08 8135.
 2016 09 7735·
 2016 10 8831.
 2016 11 3613·
 2016 12 5230·
 2017 01  9918·
 2017 02  3345.
 2017 03  6924.
 2017 04  8923·
 2017 05  6823·
 2017 06  2227·
 2017 07  9121·
 2017 08  3130·
 2017 09  5119·


 2017 10  5817.
 2017 11  3415·
 2017 12  4125.
 2018 01 4426.
 2018 02 6427·
 2018 03 5620·
 2018 04 636·
 2018 05 6545.
 2018 06 9235·
 2018 07 3738.
 2018 08 4028.
 2018 09 5832·
 2018 10 1736.
 2018 11 8530.
 2018 12 8133·
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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: Unemployment Level: 75 years and over, White 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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