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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  999·
 1981 02  9914.
 1981 03  49.
 1981 04  868·
 1981 05  414.
 1981 06  665.
 1981 07  618.
 1981 08  575.
 1981 09  622.
 1981 10  455.
 1981 11  334.
 1981 12  384.
 1982 01 112·
 1982 02 162·
 1982 03 304.
 1982 04 751.
 1982 05 666·
 1982 06 866.
 1982 07 925.
 1982 08 374·
 1982 09 266·
 1982 10 878·
 1982 11 815·
 1982 12 176.
 1983 01  1510.
 1983 02  766·
 1983 03  848.
 1983 04  3510.
 1983 05  86
 1983 06  344.
 1983 07  167.
 1983 08  356.
 1983 09  136·
 1983 10  682.
 1983 11  138.
 1983 12  85
 1984 01 972.
 1984 02 92.
 1984 03 392·
 1984 04 814.
 1984 05 622.
 1984 07 14
 1984 08 824.
 1984 09 423.
 1984 10 602.
 1984 11 66
 1984 12 544·
 1985 01  104·
 1985 02  654.
 1985 03  695.
 1985 04  931·
 1985 05  565·
 1985 06  795.
 1985 07  567·
 1985 08  624.
 1985 09  742.
 1985 10  266·
 1985 11  856·
 1985 12  506.
 1986 01 835.
 1986 02 579.
 1986 03 354.
 1986 04 681·
 1986 05 275·
 1986 06 485·
 1986 07 14
 1986 08 564.
 1986 09 74
 1986 10 9810·
 1986 11 543.
 1986 12 754.
 1987 01  211.
 1987 02  339·
 1987 03  115.
 1987 04  148.
 1987 05  845·
 1987 06  43.
 1987 07  677·
 1987 08  856.
 1987 09  95.
 1987 10  852.
 1987 11  295.
 1987 12  27
 1988 01 657.
 1988 02 783·
 1988 03 271.
 1988 04 29.
 1988 05 469.
 1988 06 87.
 1988 07 207.
 1988 08 983.
 1988 09 707.
 1988 10 245·
 1989 01  88
 1989 02  293·
 1989 03  832.
 1989 04  39.
 1989 06  384.
 1989 07  312.
 1989 09  533·
 1989 10  45
 1989 11  13·
 1989 12  695·
 1990 01 744·
 1990 02 7510·
 1990 03 357.
 1990 04 296·
 1990 05 667.
 1990 06 433.
 1990 07 218.
 1990 08 254·
 1990 09 732·
 1990 10 263.
 1990 11 66
 1990 12 944·
 1991 01  633.
 1991 02  236·
 1991 03  09.
 1991 04  011.
 1991 05  3212·
 1991 06  608·
 1991 07  826·
 1991 08  309.
 1991 09  973.
 1991 10  872·
 1991 11  925·
 1991 12  98
 1992 01 48·
 1992 02 798·
 1992 03 383.
 1992 04 404·
 1992 05 215·
 1992 06 3710·
 1992 07 50
 1992 08 217·
 1992 09 427·
 1992 10 8713.
 1992 11 867·
 1992 12 288.
 1993 01  887.
 1993 02  7914·
 1993 03  2713·
 1993 04  736.
 1993 05  16.
 1993 06  879.
 1993 07  797.
 1993 08  9520.
 1993 09  5111·
 1993 10  139.
 1993 11  754·
 1993 12  566.
 1994 01 3213.
 1994 02 839.
 1994 03 718.
 1994 04 467·
 1994 05 6318.
 1994 06 4510.
 1994 07 4914.
 1994 08 7530.
 1994 09 8913·
 1994 10 7612.
 1994 11 1510·
 1994 12 834·
 1995 01  785·
 1995 02  7612·
 1995 03  113.
 1995 04  3113·
 1995 05  258·
 1995 06  7013·
 1995 07  6314·
 1995 08  96·
 1995 09  4918.
 1995 10  1018.
 1995 11  8416·
 1995 12  2912·
 1996 01 939.
 1996 02 6919.
 1996 03 7012·
 1996 04 295.
 1996 05 2810·
 1996 06 50
 1996 07 526.
 1996 08 7112·
 1996 09 478.
 1996 10 769.
 1996 11 8711·
 1996 12 4410·
 1997 01  692.
 1997 02  994.
 1997 03  588·
 1997 04  607·
 1997 05  39
 1997 06  934·
 1997 07  691·
 1997 08  5812.
 1997 09  259·
 1997 10  602.
 1997 11  5412·
 1997 12  012·
 1998 01 225.
 1998 02 2411.
 1998 03 6810.
 1998 04 748.
 1998 05 495.
 1998 06 3710·
 1998 07 9416·
 1998 08 9314.
 1998 09 5011·
 1998 10 727.
 1998 11 3722.
 1998 12 9613·
 1999 01  955.
 1999 02  3212.
 1999 03  316.
 1999 04  4414.
 1999 05  7614·
 1999 06  4011.
 1999 07  3011.
 1999 08  2521·
 1999 09  1417·
 1999 10  4814.
 1999 11  18
 1999 12  548·
 2000 01 5313.
 2000 02 3114·
 2000 03 010.
 2000 04 6718·
 2000 05 617·
 2000 06 908·
 2000 07 813.
 2000 08 27
 2000 09 349·
 2000 10 4913·
 2000 11 014.
 2000 12 228.
 2001 01  892·
 2001 02  5913.
 2001 03  5514·
 2001 04  666·
 2001 05  723·
 2001 06  9610.
 2001 07  8213·
 2001 08  9614.
 2001 09  5116·
 2001 10  5917.
 2001 11  1224·
 2001 12  7520·
 2002 01 207.
 2002 02 757·
 2002 03 13.
 2002 04 905.
 2002 05 9912·
 2002 06 9414·
 2002 07 3112.
 2002 08 556.
 2002 09 3216·
 2002 10 906.
 2002 11 87.
 2002 12 819·
 2003 01  8713·
 2003 02  659·
 2003 03  6521·
 2003 04  1210·
 2003 05  6010·
 2003 06  4411·
 2003 07  589·
 2003 08  5412·
 2003 09  6811·
 2003 10  7718·
 2003 11  6921·
 2003 12  4713·
 2004 01 5832.
 2004 02 4019.
 2004 03 424.
 2004 04 2923·
 2004 05 969·
 2004 06 3312.
 2004 07 946.
 2004 08 6417.
 2004 09 7815.
 2004 10 8129.
 2004 11 9837.
 2004 12 3811·
 2005 01  2326·
 2005 02  3539.
 2005 03  9519·
 2005 04  6522·
 2005 05  7510.
 2005 06  7019.
 2005 07  9319.
 2005 08  8317·
 2005 09  212·
 2005 10  8719.
 2005 11  2426.
 2005 12  558·
 2006 01 020·
 2006 02 1012.
 2006 03 4416·
 2006 04 6814.
 2006 05 8712.
 2006 06 9115.
 2006 07 3416.
 2006 08 3612.
 2006 09 812·
 2006 10 512.
 2006 11 29·
 2006 12 9611·
 2007 01  3118.
 2007 02  5217.
 2007 03  7910.
 2007 04  1111.
 2007 05  5120.
 2007 06  5714.
 2007 07  2126.
 2007 08  6919·
 2007 09  869·
 2007 10  7132.
 2007 11  1123·
 2007 12  8316·
 2008 01 8221.
 2008 02 7024.
 2008 03 5519·
 2008 04 9219.
 2008 05 722.
 2008 06 5320.
 2008 07 8410.
 2008 08 5625.
 2008 09 5518.
 2008 10 4713.
 2008 11 5630·
 2008 12 6632·
 2009 01  4622.
 2009 02  126·
 2009 03  5225·
 2009 04  3340·
 2009 05  2342·
 2009 06  9029·
 2009 07  7718.
 2009 08  9624.
 2009 09  5537·
 2009 10  1734·
 2009 11  6631·
 2009 12  1636.
 2010 01 3836·
 2010 02 429.
 2010 03 7240.
 2010 04 8429.
 2010 05 8931·
 2010 06 421·
 2010 07 8039.
 2010 08 1040.
 2010 09 5441·
 2010 10 9140.
 2010 11 9439·
 2010 12 3349.
 2011 01  142.
 2011 02  6639.
 2011 03  4733.
 2011 04  1627·
 2011 05  2440.
 2011 06  5439.
 2011 07  9527.
 2011 08  4734.
 2011 09  4336·
 2011 10  635·
 2011 11  2144·
 2011 12  3938·
 2012 01 235.
 2012 02 9732.
 2012 03 3032.
 2012 04 2925.
 2012 05 6928.
 2012 06 2742.
 2012 07 5432.
 2012 08 8031.
 2012 09 3932.
 2012 10 2218·
 2012 11 5033.
 2012 12 8122·
 2013 01  3240·
 2013 02  3225·
 2013 03  030·
 2013 04  4434·
 2013 05  9129.
 2013 06  3325.
 2013 07  1037.
 2013 08  819·
 2013 09  8531·
 2013 10  2414·
 2013 11  1226.
 2013 12  3427.
 2014 01 823.
 2014 02 3213·
 2014 03 6226·
 2014 04 1128.
 2014 05 8033·
 2014 06 724·
 2014 07 4230·
 2014 08 5223.
 2014 09 4522.
 2014 10 2415.
 2014 11 5923.
 2014 12 9519.
 2015 01  7223·
 2015 02  8324·
 2015 03  4534.
 2015 04  231·
 2015 05  5518.
 2015 06  1012.
 2015 07  5517.
 2015 08  6215.
 2015 09  1440.
 2015 10  5620·
 2015 11  7216.
 2015 12  8724.
 2016 01 9136·
 2016 02 9523·
 2016 03 328·
 2016 04 1527.
 2016 05 5820·
 2016 06 2825.
 2016 07 7824·
 2016 08 1035.
 2016 09 635·
 2016 10 8131·
 2016 11 5513.
 2016 12 5830.
 2017 01  5718.
 2017 02  445.
 2017 03  1524·
 2017 04  7423·


 2017 05  5423.
 2017 06  7227·
 2017 07  6521.
 2017 08  9430·
 2017 09  6519.
 2017 10  8517·
 2017 11  3715·
 2017 12  8225·
 2018 01 8626·
 2018 02 7027·
 2018 03 8720·
 2018 04 2636.
 2018 05 3545.
 2018 06 7535.
 2018 07 9638.
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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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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