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 Series Title: Employed: Durable goods manufacturing, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1983 01  972886·
 1983 02  482914.
 1983 03  242954·
 1983 04  272930.
 1983 05  853001.
 1983 06  263022·
 1983 07  812999.
 1983 08  113077·
 1983 09  583126.
 1983 10  203293.
 1983 11  573311·
 1983 12  123327.
 1984 01 663205·
 1984 02 143227.
 1984 03 663271·
 1984 04 753271.
 1984 05 853224·
 1984 06 133260.
 1984 07 453373.
 1984 08 683396.
 1984 09 153405.
 1984 10 493405·
 1984 11 583380.
 1984 12 863416.
 1985 01  823370.
 1985 02  793371.
 1985 03  923368.
 1985 04  483259.
 1985 05  363219·
 1985 06  843306.
 1985 07  603279·
 1985 08  983226.
 1985 09  533224.
 1985 10  723260·
 1985 11  03269.
 1985 12  63290.
 1986 01 323270·
 1986 02 733248.
 1986 03 753290.
 1986 04 653285.
 1986 05 03282.
 1986 06 443344·
 1986 07 733404.
 1986 08 943273.
 1986 09 63346·
 1986 10 683325·
 1986 11 63265.
 1986 12 383329·
 1987 01  263297.
 1987 02  503372.
 1987 03  133297·
 1987 04  663408.
 1987 05  603373·
 1987 06  223415.
 1987 07  563439·
 1987 08  723464·
 1987 09  343451·
 1987 10  413236·
 1987 11  243355.
 1987 12  753241·
 1988 01 993312·
 1988 02 893377.
 1988 03 293436.
 1988 04 193451.
 1988 05 293389.
 1988 06 723505·
 1988 07 93523·
 1988 08 743453.
 1988 09 253389.
 1988 10 223270.
 1988 11 273479.
 1988 12 333288·
 1989 01  123466·
 1989 02  953420.
 1989 03  713380·
 1989 04  163436.
 1989 05  413432.
 1989 06  733549.
 1989 07  543361·
 1989 08  663410·
 1989 09  873404·
 1989 10  633419.
 1989 11  133511·
 1989 12  543483·
 1990 01 513390.
 1990 02 973324·
 1990 03 133326.
 1990 04 723404.
 1990 05 573298.
 1990 06 303442.
 1990 07 393406·
 1990 08 413448.
 1990 09 573381.
 1990 10 463350·
 1990 11 63262.
 1990 12 43275.
 1991 01  263277.
 1991 02  493238·
 1991 03  513267.
 1991 04  313300.
 1991 05  633226.
 1991 06  733373·
 1991 07  373289·
 1991 08  163302.
 1991 09  953262.
 1991 10  733235.
 1991 11  533198.
 1991 12  773122·
 1992 01 723115·
 1992 02 313145·
 1992 03 103113.
 1992 04 593209.
 1992 05 693234.
 1992 06 543268·
 1992 07 473216·
 1992 08 313226·
 1992 09 873023·
 1992 10 743155.
 1992 11 273146·
 1992 12 873146.
 1993 01  513033.
 1993 02  472990·
 1993 03  372984·
 1993 04  473040·
 1993 05  113059.
 1993 06  543182.
 1993 07  913107·
 1993 08  543107.
 1993 09  433131.
 1993 10  33068.
 1993 11  273092.
 1993 12  783073.
 1994 01 473138·
 1994 02 253097.
 1994 03 63011.
 1994 04 133032.
 1994 05 493057·
 1994 06 773130.
 1994 07 183227·
 1994 08 773263.
 1994 09 993297.
 1994 10 403262·
 1994 11 753234·
 1994 12 163126·
 1995 01  723094·
 1995 02  223132.
 1995 03  143083.
 1995 04  973064.
 1995 05  692993.
 1995 06  533078.
 1995 07  03185.
 1995 08  173240·
 1995 09  153292.
 1995 10  903224·
 1995 11  193260·
 1995 12  923219.
 1996 01 613285.
 1996 02 153292.
 1996 03 853272·
 1996 04 683301·
 1996 05 813324.
 1996 06 343423·
 1996 07 353425.
 1996 08 143334.
 1996 09 773236.
 1996 10 803339.
 1996 11 333297·
 1996 12 243365.
 1997 01  743406.
 1997 02  93359.
 1997 03  663511·
 1997 04  173499·
 1997 05  213458·
 1997 06  23410·
 1997 07  473361·
 1997 08  373362.
 1997 09  963283·
 1997 10  663319·
 1997 11  143374.
 1997 12  533433·
 1998 01 973407.
 1998 02 333450·
 1998 03 313456·
 1998 04 603456.
 1998 05 503484.
 1998 06 603486.
 1998 07 843508.
 1998 08 773500.
 1998 09 63550·
 1998 10 273531.
 1998 11 873386.
 1998 12 473478.
 1999 01  403501·
 1999 02  423516·
 1999 03  773452·
 1999 04  403433.
 1999 05  533356·
 1999 06  373441.
 1999 07  183328.
 1999 08  503318.
 1999 09  693383.
 1999 10  673498.
 1999 11  973511.
 1999 12  963548·
 2000 01 403651.
 2000 02 153566.
 2000 03 283635.
 2000 04 233669.
 2000 05 403518.
 2000 06 883605.
 2000 07 483431.
 2000 08 993484·
 2000 09 703682.
 2000 10 163609.
 2000 11 203616.
 2000 12 193631·
 2001 01  563477.
 2001 02  573473.
 2001 03  323402·
 2001 04  13420·
 2001 05  473338.
 2001 06  923344.
 2001 07  963132·
 2001 08  903104·
 2001 09  203143.
 2001 10  273221·
 2001 11  523100.
 2001 12  553038.
 2002 01 742957·
 2002 02 962916·
 2002 03 612972.
 2002 04 912866.
 2002 05 352828.
 2002 06 532789.
 2002 07 122795·
 2002 08 152830.
 2002 09 532743·
 2002 10 812918·
 2002 11 172871·
 2002 12 732940.
 2003 01  52968·
 2003 02  862980·
 2003 03  142912.
 2003 04  342872.
 2003 05  892854.
 2003 06  12885.
 2003 07  672771·
 2003 08  912795.
 2003 09  322755.
 2003 10  812775.
 2003 11  632837·
 2003 12  642859·
 2004 01 842766.
 2004 02 82855.
 2004 03 152759.
 2004 04 982757·
 2004 05 202730·
 2004 06 892638.
 2004 07 602651.
 2004 08 602738·
 2004 09 412630·
 2004 10 562633·
 2004 11 632812.
 2004 12 452771·
 2005 01  722816.
 2005 02  652744·
 2005 03  102634.
 2005 04  732707.
 2005 05  632671.
 2005 06  982650.
 2005 07  142604.
 2005 08  882632·
 2005 09  902702.
 2005 10  622677.
 2005 11  142741.
 2005 12  582786·
 2006 01 542713·
 2006 02 872782·
 2006 03 732904.
 2006 04 782799·
 2006 05 792771·
 2006 06 322768.
 2006 07 772637.
 2006 08 672652.
 2006 09 162630·
 2006 10 762639·
 2006 11 412624·
 2006 12 702608.
 2007 01  412629.
 2007 02  282785.
 2007 03  22802.
 2007 04  542774·
 2007 05  532784·
 2007 06  192595.
 2007 07  222604.
 2007 08  152657·
 2007 09  792595.
 2007 10  52721·
 2007 11  912737·
 2007 12  712671·
 2008 01 682685.
 2008 02 682583·
 2008 03 202614.
 2008 04 672600.
 2008 05 972551·
 2008 06 142711.
 2008 07 472599·
 2008 08 722598.
 2008 09 642630.
 2008 10 762642.
 2008 11 362706.
 2008 12 802573.
 2009 01  972434·
 2009 02  92313.
 2009 03  752181·
 2009 04  102197.
 2009 05  442172·
 2009 06  972165.
 2009 07  752206·
 2009 08  62189.
 2009 09  832240.
 2009 10  442224·
 2009 11  762115.
 2009 12  382009.
 2010 01 121931.
 2010 02 831953·
 2010 03 402028·
 2010 04 992090·
 2010 05 572135.
 2010 06 712204.
 2010 07 552241·
 2010 08 82317·
 2010 09 692282.
 2010 10 892251·
 2010 11 332140·
 2010 12 112155.
 2011 01  242158·
 2011 02  432129.
 2011 03  132254.
 2011 04  752324·
 2011 05  202178·
 2011 06  662160.
 2011 07  582214·
 2011 08  962204.
 2011 09  852333.
 2011 10  142321·
 2011 11  552256.
 2011 12  922230·
 2012 01 682185·
 2012 02 692235.
 2012 03 182377.
 2012 04 72414.
 2012 05 452341·
 2012 06 372350.
 2012 07 842304·
 2012 08 112301.
 2012 09 162349·
 2012 10 502379·
 2012 11 162320·
 2012 12 972181.
 2013 01  62240.
 2013 02  642287·
 2013 03  22315·
 2013 04  852277·
 2013 05  662281·
 2013 06  622269·
 2013 07  552303·
 2013 08  192328.
 2013 09  712345.
 2013 10  502334.
 2013 11  132351.
 2013 12  682358.
 2014 01 222378.
 2014 02 592485·
 2014 03 382354·
 2014 04 262444.
 2014 05 442469·
 2014 06 462397·
 2014 07 192442.
 2014 08 132505.
 2014 09 882391.
 2014 10 932397·
 2014 11 692314·
 2014 12 722303·
 2015 01  282319·
 2015 02  72319·
 2015 03  252415.
 2015 04  732353·
 2015 05  652410.
 2015 06  182431·
 2015 07  502440.
 2015 08  102420·
 2015 09  252406·
 2015 10  852408·
 2015 11  332331·
 2015 12  12353·
 2016 01 582335·
 2016 02 872408·
 2016 03 852445.
 2016 04 922406.
 2016 05 402379.
 2016 06 332335.
 2016 07 452359.
 2016 08 502380·
 2016 09 702472.
 2016 10 532599.
 2016 11 772465.
 2016 12 712431.
 2017 01  742268.
 2017 02  52450.
 2017 03  672472·
 2017 04  742624·
 2017 05  32529.
 2017 06  692439·
 2017 07  282472.
 2017 08  22376.


 2017 09  322462·
 2017 10  532475.
 2017 11  992560.
 2017 12  252428.
 2018 01 612419·
 2018 02 892359.
 2018 03 432401.
 2018 04 372494·
 2018 05 162357.
 2018 06 322304.
 2018 07 462411·
 2018 08 572484.
 2018 09 472566.
 2018 10 642667.
 2018 11 232608.
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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: Employed: Durable goods manufacturing, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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