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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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Go to end of data set
 1981 01  29.
 1981 02  8714.
 1981 03  6
 1981 04  79
 1981 05  544.
 1981 06  775.
 1981 07  988·
 1981 08  985.
 1981 09  352·
 1981 10  285·
 1981 11  554.
 1981 12  774.
 1982 01 952·
 1982 02 222.
 1982 03 874·
 1982 04 621.
 1982 05 106.
 1982 06 656·
 1982 07 345·
 1982 08 21
 1982 09 796·
 1982 10 89
 1982 11 585·
 1982 12 496·
 1983 01  2910.
 1983 02  506·
 1983 03  478.
 1983 04  6410·
 1983 05  108.
 1983 06  314.
 1983 07  147.
 1983 08  126.
 1983 09  976.
 1983 10  37
 1983 11  968·
 1983 12  60
 1984 01 912·
 1984 02 12.
 1984 03 572.
 1984 04 44.
 1984 05 162·
 1984 07 791.
 1984 08 854·
 1984 09 613·
 1984 10 242.
 1984 11 53
 1984 12 924.
 1985 01  784·
 1985 02  904·
 1985 03  295·
 1985 04  161·
 1985 05  22
 1985 06  145·
 1985 07  397·
 1985 08  214.
 1985 09  872·
 1985 10  216·
 1985 11  406.
 1985 12  946·
 1986 01 93
 1986 02 639·
 1986 03 134.
 1986 04 471.
 1986 05 85
 1986 06 135.
 1986 07 653.
 1986 08 204·
 1986 09 306·
 1986 10 7310.
 1986 11 283.
 1986 12 744·
 1987 01  241·
 1987 02  699·
 1987 03  575·
 1987 04  988.
 1987 05  855·
 1987 06  503.
 1987 07  367·
 1987 08  56.
 1987 09  585.
 1987 10  91
 1987 11  705.
 1987 12  322.
 1988 01 127.
 1988 02 94
 1988 03 911.
 1988 04 429.
 1988 05 409·
 1988 06 847.
 1988 07 577.
 1988 08 24
 1988 09 62
 1988 10 115·
 1989 01  471·
 1989 02  893.
 1989 03  222·
 1989 04  509.
 1989 06  704.
 1989 07  772.
 1989 09  903·
 1989 10  21.
 1989 11  563·
 1989 12  505.
 1990 01 594.
 1990 02 9210.
 1990 03 627.
 1990 04 956·
 1990 05 497·
 1990 06 713.
 1990 07 718.
 1990 08 26
 1990 09 32·
 1990 10 133.
 1990 11 881·
 1990 12 804·
 1991 01  913.
 1991 02  206·
 1991 03  469.
 1991 04  2111·
 1991 05  712.
 1991 06  178·
 1991 07  06·
 1991 08  379·
 1991 09  703·
 1991 10  542·
 1991 11  335·
 1991 12  39
 1992 01 248·
 1992 02 78.
 1992 03 513.
 1992 04 674·
 1992 05 395·
 1992 06 7610.
 1992 07 863·
 1992 08 837.
 1992 09 97.
 1992 10 8613·
 1992 11 947·
 1992 12 758.
 1993 01  517·
 1993 02  8714·
 1993 03  5813.
 1993 04  556.
 1993 05  12
 1993 06  56
 1993 07  837·
 1993 08  6220·
 1993 09  6011·
 1993 10  929.
 1993 11  24·
 1993 12  596.
 1994 01 8913.
 1994 02 219.
 1994 03 708.
 1994 04 337.
 1994 05 1818.
 1994 06 9410.
 1994 07 7114.
 1994 08 9830·
 1994 09 9113.
 1994 10 8512.
 1994 11 910·
 1994 12 914.
 1995 01  78
 1995 02  9512.
 1995 03  1813·
 1995 04  7513·
 1995 05  728.
 1995 06  5013.
 1995 07  5314·
 1995 08  386.
 1995 09  9418.
 1995 10  9918·
 1995 11  9716·
 1995 12  9312·
 1996 01 869.
 1996 02 1919.
 1996 03 5512.
 1996 04 775·
 1996 05 1810.
 1996 06 106·
 1996 07 606.
 1996 08 5512·
 1996 09 858.
 1996 10 969.
 1996 11 6811·
 1996 12 1310.
 1997 01  52·
 1997 02  294·
 1997 03  618.
 1997 04  647.
 1997 05  225·
 1997 06  844·
 1997 07  451·
 1997 08  4712.
 1997 09  69·
 1997 10  612·
 1997 11  5212.
 1997 12  2412.
 1998 01 515·
 1998 02 8511·
 1998 03 3910.
 1998 04 848.
 1998 05 755.
 1998 06 810·
 1998 07 8816·
 1998 08 3814.
 1998 09 2411·
 1998 10 37·
 1998 11 422.
 1998 12 2613.
 1999 01  665.
 1999 02  7312.
 1999 03  206.
 1999 04  914·
 1999 05  9514·
 1999 06  4211.
 1999 07  9211.
 1999 08  7621.
 1999 09  3117.
 1999 10  6014.
 1999 11  24·
 1999 12  398.
 2000 01 1713·
 2000 02 314·
 2000 03 5710.
 2000 04 3718·
 2000 05 237.
 2000 06 728.
 2000 07 8813.
 2000 08 334·
 2000 09 439·
 2000 10 9113·
 2000 11 5214.
 2000 12 138.
 2001 01  972.
 2001 02  1113.
 2001 03  3014.
 2001 04  926·
 2001 05  273.
 2001 06  810·
 2001 07  3013·
 2001 08  714·
 2001 09  316·
 2001 10  8217.
 2001 11  8224.
 2001 12  2120·
 2002 01 207.
 2002 02 587.
 2002 03 443.
 2002 04 225.
 2002 05 9712.
 2002 06 8614.
 2002 07 9612·
 2002 08 226·
 2002 09 7716.
 2002 10 436.
 2002 11 467.
 2002 12 6019·
 2003 01  3013.
 2003 02  28
 2003 03  2621.
 2003 04  9910.
 2003 05  5110·
 2003 06  6711.
 2003 07  929.
 2003 08  2612.
 2003 09  5711.
 2003 10  1118.
 2003 11  2521.
 2003 12  5413.
 2004 01 9432.
 2004 02 3419·
 2004 03 3224·
 2004 04 2223·
 2004 05 309.
 2004 06 3612.
 2004 07 466·
 2004 08 9117·
 2004 09 6015.
 2004 10 4529.
 2004 11 2237·
 2004 12 5111.
 2005 01  226·
 2005 02  939.
 2005 03  4219·
 2005 04  1322·
 2005 05  210.
 2005 06  419.
 2005 07  1319.
 2005 08  1617·
 2005 09  2712.
 2005 10  3119·
 2005 11  6626·
 2005 12  238·
 2006 01 7220·
 2006 02 1512.
 2006 03 5916·
 2006 04 2214·
 2006 05 5712.
 2006 06 615·
 2006 07 7216·
 2006 08 2412·
 2006 09 2512.
 2006 10 8012·
 2006 11 129·
 2006 12 6911·
 2007 01  4618·
 2007 02  3717.
 2007 03  1210·
 2007 04  2011·
 2007 05  1420.
 2007 06  214·
 2007 07  2726·
 2007 08  6319·
 2007 09  479·
 2007 10  2732·
 2007 11  3923.
 2007 12  1316.
 2008 01 9021·
 2008 02 8624.
 2008 03 5619·
 2008 04 619.
 2008 05 1322·
 2008 06 7920·
 2008 07 810·
 2008 08 625.
 2008 09 918.
 2008 10 3313.
 2008 11 5230·
 2008 12 132·
 2009 01  9722.
 2009 02  9726.
 2009 03  7025.
 2009 04  340·
 2009 05  2142.
 2009 06  4729·
 2009 07  6918.
 2009 08  5124·
 2009 09  5237.
 2009 10  8334.
 2009 11  8031.
 2009 12  736·
 2010 01 8236·
 2010 02 3129·
 2010 03 5940·
 2010 04 5929.
 2010 05 3131·
 2010 06 4021.
 2010 07 8939·
 2010 08 2040·
 2010 09 4441.
 2010 10 8840·
 2010 11 7639.
 2010 12 2949·
 2011 01  8842·
 2011 02  7339·
 2011 03  5233·
 2011 04  4727·
 2011 05  5940.
 2011 06  2139.
 2011 07  7327·
 2011 08  6334·
 2011 09  7636·
 2011 10  8335.
 2011 11  2144.
 2011 12  9038.
 2012 01 8235·
 2012 02 3432.
 2012 03 332.
 2012 04 6525.
 2012 05 4728·
 2012 06 7442·
 2012 07 4932·
 2012 08 5231·
 2012 09 6532.
 2012 10 3018.
 2012 11 1833·
 2012 12 3822·
 2013 01  5540·
 2013 02  5025·
 2013 03  9130.
 2013 04  3634·
 2013 05  6129.
 2013 06  1125·
 2013 07  7337.
 2013 08  8419·
 2013 09  5331.
 2013 10  1214·
 2013 11  9826.
 2013 12  4627.
 2014 01 2423.
 2014 02 8113·
 2014 03 2026.
 2014 04 828·
 2014 05 9433·
 2014 06 6524.
 2014 07 2330.
 2014 08 8423·
 2014 09 722·
 2014 10 4215.
 2014 11 1323·
 2014 12 1219·
 2015 01  3123.
 2015 02  1224.
 2015 03  2134·
 2015 04  5531.
 2015 05  6218·
 2015 06  9912·
 2015 07  417.
 2015 08  015.
 2015 09  1840.
 2015 10  5520.
 2015 11  4416.
 2015 12  6024.
 2016 01 4336.
 2016 02 5423.
 2016 03 4728.
 2016 04 7327.
 2016 05 720·
 2016 06 9825.
 2016 07 4524.
 2016 08 335.
 2016 09 435·
 2016 10 1131·
 2016 11 9513·
 2016 12 3730·
 2017 01  5218·
 2017 02  4345.
 2017 03  7824.
 2017 04  8723.
 2017 05  9623·
 2017 06  7127·


 2017 07  121·
 2017 08  9330·
 2017 09  519.
 2017 10  9517.
 2017 11  9515.
 2017 12  1625·
 2018 01 7426·
 2018 02 4027.
 2018 03 1720.
 2018 04 4536.
 2018 05 2145·
 2018 06 5635·
 2018 07 5038·
 2018 08 9228·
 2018 09 9032·
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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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