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 Series Title: Employed: Retail trade, 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  145640.
 1983 02  75473·
 1983 03  745603.
 1983 04  875594.
 1983 05  425723.
 1983 06  355939.
 1983 07  685914·
 1983 08  696113·
 1983 09  485964.
 1983 10  755929·
 1983 11  756104·
 1983 12  616126·
 1984 01 845913·
 1984 02 75826.
 1984 03 85855·
 1984 04 95907·
 1984 05 256010.
 1984 06 386352·
 1984 07 66355·
 1984 08 826360.
 1984 09 706216.
 1984 10 06288.
 1984 11 316477·
 1984 12 736379.
 1985 01  466074.
 1985 02  506000·
 1985 03  706040.
 1985 04  26037.
 1985 05  36122.
 1985 06  696272.
 1985 07  386334·
 1985 08  136281·
 1985 09  156189.
 1985 10  646319·
 1985 11  716448·
 1985 12  746461.
 1986 01 856015·
 1986 02 665975·
 1986 03 336141.
 1986 04 816239·
 1986 05 366415·
 1986 06 326618·
 1986 07 116610·
 1986 08 526526.
 1986 09 206358·
 1986 10 446421·
 1986 11 196587·
 1986 12 326556.
 1987 01  116159·
 1987 02  96253·
 1987 03  946412.
 1987 04  896428·
 1987 05  116462.
 1987 06  576638.
 1987 07  06630.
 1987 08  186700.
 1987 09  446602.
 1987 10  466661.
 1987 11  236675.
 1987 12  376833.
 1988 01 616471·
 1988 02 576318·
 1988 03 786420.
 1988 04 926460·
 1988 05 386507.
 1988 06 986740·
 1988 07 16762·
 1988 08 516864·
 1988 09 746635.
 1988 10 986756·
 1988 11 566780·
 1988 12 86880·
 1989 01  956664.
 1989 02  166457·
 1989 03  316501.
 1989 04  826608·
 1989 05  516681·
 1989 06  336866.
 1989 07  386887·
 1989 08  186917.
 1989 09  196842.
 1989 10  566801.
 1989 11  166964·
 1989 12  856963.
 1990 01 986845·
 1990 02 156732·
 1990 03 276703·
 1990 04 776734·
 1990 05 136719.
 1990 06 696943.
 1990 07 597034.
 1990 08 126959.
 1990 09 166838·
 1990 10 976871.
 1990 11 266786.
 1990 12 366816·
 1991 01  806576.
 1991 02  86530·
 1991 03  646614·
 1991 04  176708·
 1991 05  86539·
 1991 06  336704·
 1991 07  386771.
 1991 08  496699.
 1991 09  246709·
 1991 10  286803.
 1991 11  346892·
 1991 12  526872.
 1992 01 796612.
 1992 02 756608.
 1992 03 666591·
 1992 04 696708·
 1992 05 476777.
 1992 06 806818.
 1992 07 716920·
 1992 08 716760·
 1992 09 306570·
 1992 10 766734.
 1992 11 136703.
 1992 12 506858·
 1993 01  536664·
 1993 02  186628.
 1993 03  796783·
 1993 04  266809.
 1993 05  666861.
 1993 06  906993·
 1993 07  827123.
 1993 08  447025.
 1993 09  446779·
 1993 10  966913.
 1993 11  617044.
 1993 12  727181.
 1994 01 887028.
 1994 02 697018.
 1994 03 776968·
 1994 04 57036·
 1994 05 247039·
 1994 06 667111.
 1994 07 207345·
 1994 08 617251.
 1994 09 17172.
 1994 10 687301.
 1994 11 17387.
 1994 12 857434.
 1995 01  967153·
 1995 02  816979·
 1995 03  596931.
 1995 04  466999·
 1995 05  87209·
 1995 06  387360.
 1995 07  577517·
 1995 08  387441·
 1995 09  637200.
 1995 10  957245·
 1995 11  827445.
 1995 12  807398·
 1996 01 117082.
 1996 02 347010·
 1996 03 477060·
 1996 04 177203·
 1996 05 287267.
 1996 06 617495.
 1996 07 917611.
 1996 08 177503·
 1996 09 147441.
 1996 10 87417.
 1996 11 757569.
 1996 12 757619.
 1997 01  957210.
 1997 02  317263·
 1997 03  897324·
 1997 04  97411.
 1997 05  207501.
 1997 06  137611.
 1997 07  457696.
 1997 08  657522.
 1997 09  667417·
 1997 10  597419·
 1997 11  807547·
 1997 12  107643.
 1998 01 327417·
 1998 02 37377.
 1998 03 597549.
 1998 04 407514.
 1998 05 447580.
 1998 06 997604·
 1998 07 677570·
 1998 08 737644.
 1998 09 537575.
 1998 10 307586.
 1998 11 207691·
 1998 12 547891·
 1999 01  337639·
 1999 02  27603.
 1999 03  537538·
 1999 04  517418.
 1999 05  867509.
 1999 06  487492.
 1999 07  317747.
 1999 08  597763·
 1999 09  367704.
 1999 10  237874.
 1999 11  417977·
 1999 12  977991.
 2000 01 348037·
 2000 02 107584·
 2000 03 977587.
 2000 04 97660.
 2000 05 567514·
 2000 06 157667.
 2000 07 357859.
 2000 08 658003·
 2000 09 17769.
 2000 10 697957·
 2000 11 197904.
 2000 12 577883·
 2001 01  967623.
 2001 02  297607.
 2001 03  367511.
 2001 04  67621·
 2001 05  907689·
 2001 06  787747·
 2001 07  17981·
 2001 08  567847·
 2001 09  597806.
 2001 10  217725.
 2001 11  497777.
 2001 12  757918·
 2002 01 37537.
 2002 02 907443·
 2002 03 467426.
 2002 04 587457·
 2002 05 487677.
 2002 06 427804·
 2002 07 777751·
 2002 08 257706.
 2002 09 447579·
 2002 10 597787·
 2002 11 578087·
 2002 12 188255·
 2003 01  677990.
 2003 02  477752·
 2003 03  227624.
 2003 04  87814·
 2003 05  167736·
 2003 06  377818·
 2003 07  378025·
 2003 08  887872·
 2003 09  187850·
 2003 10  877911·
 2003 11  898330.
 2003 12  788377.
 2004 01 237902.
 2004 02 787869·
 2004 03 907585·
 2004 04 227437·
 2004 05 57658.
 2004 06 167638.
 2004 07 798106·
 2004 08 888310.
 2004 09 668114·
 2004 10 348223·
 2004 11 188229.
 2004 12 728139.
 2005 01  318008·
 2005 02  888076·
 2005 03  967971.
 2005 04  928042.
 2005 05  508181·
 2005 06  608005·
 2005 07  258225·
 2005 08  928265.
 2005 09  998259.
 2005 10  568353·
 2005 11  438417.
 2005 12  418504.
 2006 01 778152.
 2006 02 78064.
 2006 03 148217·
 2006 04 348230·
 2006 05 118248.
 2006 06 718356.
 2006 07 248331·
 2006 08 908183.
 2006 09 517976·
 2006 10 307927.
 2006 11 878283·
 2006 12 528467.
 2007 01  728141·
 2007 02  897991·
 2007 03  418026·
 2007 04  918072·
 2007 05  757966.
 2007 06  818403·
 2007 07  498292·
 2007 08  08012·
 2007 09  848009·
 2007 10  618018.
 2007 11  988295·
 2007 12  988429.
 2008 01 518288·
 2008 02 138149.
 2008 03 27935.
 2008 04 297922.
 2008 05 517848·
 2008 06 427992.
 2008 07 978045.
 2008 08 638062.
 2008 09 848087·
 2008 10 798063·
 2008 11 498018·
 2008 12 948331.
 2009 01  757926·
 2009 02  837954·
 2009 03  437921.
 2009 04  417660.
 2009 05  757658.
 2009 06  347850·
 2009 07  937829·
 2009 08  477831·
 2009 09  607755·
 2009 10  387515·
 2009 11  377802.
 2009 12  838003.
 2010 01 297831·
 2010 02 297973.
 2010 03 387996·
 2010 04 428085·
 2010 05 97734.
 2010 06 617774.
 2010 07 837762.
 2010 08 447696·
 2010 09 487790.
 2010 10 187863.
 2010 11 867935.
 2010 12 327976.
 2011 01  247794·
 2011 02  47671.
 2011 03  857624·
 2011 04  757683·
 2011 05  367680·
 2011 06  547699·
 2011 07  427657·
 2011 08  697665.
 2011 09  107800.
 2011 10  217753.
 2011 11  457928.
 2011 12  317955.
 2012 01 957788·
 2012 02 907800·
 2012 03 77783·
 2012 04 77680·
 2012 05 687727.
 2012 06 657827.
 2012 07 667773.
 2012 08 657753·
 2012 09 297826.
 2012 10 797828.
 2012 11 857963.
 2012 12 998037·
 2013 01  47893·
 2013 02  887693.
 2013 03  527578·
 2013 04  297792·
 2013 05  417914·
 2013 06  747802.
 2013 07  797855·
 2013 08  987586.
 2013 09  187507·
 2013 10  447509·
 2013 11  57694·
 2013 12  777863·
 2014 01 347756.
 2014 02 308151.
 2014 03 938193.
 2014 04 588266.
 2014 05 158026.
 2014 06 877885.
 2014 07 307864.
 2014 08 617663·
 2014 09 117780.
 2014 10 978046·
 2014 11 298180·
 2014 12 318351·
 2015 01  988020·
 2015 02  688046·
 2015 03  288114.
 2015 04  367778.
 2015 05  757990.
 2015 06  318016·
 2015 07  907953.
 2015 08  708095.
 2015 09  698044.
 2015 10  428077.
 2015 11  38195·
 2015 12  547997.
 2016 01 307845.
 2016 02 837983·
 2016 03 807953.
 2016 04 297784·
 2016 05 337643·
 2016 06 617835.
 2016 07 597838·
 2016 08 677935·
 2016 09 787940.
 2016 10 88050·
 2016 11 28180·
 2016 12 618194·
 2017 01  918192·
 2017 02  798083·
 2017 03  988078·
 2017 04  317957·
 2017 05  227844·
 2017 06  577878·
 2017 07  597890.
 2017 08  197832·
 2017 09  488115·
 2017 10  488218.
 2017 11  238315·


 2017 12  968367.
 2018 01 677902.
 2018 02 857930.
 2018 03 547961·
 2018 04 567857.
 2018 05 57943·
 2018 06 238200·
 2018 07 388133.
 2018 08 187993·
 2018 09 147879.
 2018 10 448035.
 2018 11 908177.
 2018 12 258225.
 2019 01  687794·
 2019 02  557647.
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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: Retail trade, Women: 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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