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 Series Title: Employed: Retail trade, Men: 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  755534.
 1983 02  965423·
 1983 03  205510.
 1983 04  995606·
 1983 05  115671·
 1983 06  335887.
 1983 07  496025.
 1983 08  676167·
 1983 09  815968.
 1983 10  385993·
 1983 11  485967·
 1983 12  45986.
 1984 01 375827.
 1984 02 925827.
 1984 03 295947·
 1984 04 515987·
 1984 05 536095.
 1984 06 16239.
 1984 07 316278·
 1984 08 806292.
 1984 09 316110.
 1984 10 976076.
 1984 11 176193·
 1984 12 836209·
 1985 01  966012.
 1985 02  375979·
 1985 03  736088.
 1985 04  806103.
 1985 05  986291·
 1985 06  36290.
 1985 07  146247.
 1985 08  166250·
 1985 09  126187·
 1985 10  06245.
 1985 11  776311·
 1985 12  586287·
 1986 01 396158·
 1986 02 626202·
 1986 03 246207·
 1986 04 26206.
 1986 05 46290·
 1986 06 436362.
 1986 07 446424·
 1986 08 676461.
 1986 09 586262.
 1986 10 276297·
 1986 11 506439·
 1986 12 966518·
 1987 01  756439.
 1987 02  196479·
 1987 03  806356·
 1987 04  596422·
 1987 05  586461.
 1987 06  526474.
 1987 07  966488.
 1987 08  506531.
 1987 09  296341.
 1987 10  816374.
 1987 11  866433·
 1987 12  886582.
 1988 01 416470·
 1988 02 896502.
 1988 03 646430·
 1988 04 186442.
 1988 05 696511.
 1988 06 826639·
 1988 07 676737.
 1988 08 86665·
 1988 09 136496·
 1988 10 926465·
 1988 11 586567·
 1988 12 526733.
 1989 01  986587.
 1989 02  756648.
 1989 03  246689·
 1989 04  706633.
 1989 05  746709·
 1989 06  146870·
 1989 07  806909.
 1989 08  66932·
 1989 09  186793.
 1989 10  146753.
 1989 11  626816.
 1989 12  286815·
 1990 01 296874·
 1990 02 86952·
 1990 03 346889·
 1990 04 326947.
 1990 05 336826·
 1990 06 516810·
 1990 07 837056.
 1990 08 366993·
 1990 09 816880.
 1990 10 276884·
 1990 11 226823·
 1990 12 846930.
 1991 01  476811·
 1991 02  406816.
 1991 03  906895.
 1991 04  466796·
 1991 05  326787·
 1991 06  246979·
 1991 07  497047.
 1991 08  166942.
 1991 09  626930·
 1991 10  346952·
 1991 11  877014.
 1991 12  126918·
 1992 01 876724·
 1992 02 536858.
 1992 03 176864·
 1992 04 796942·
 1992 05 816968.
 1992 06 867138·
 1992 07 777149·
 1992 08 876984.
 1992 09 477027.
 1992 10 666980.
 1992 11 297145.
 1992 12 287274.
 1993 01  87094·
 1993 02  497081.
 1993 03  627074·
 1993 04  237069·
 1993 05  167101·
 1993 06  177178.
 1993 07  897445.
 1993 08  157263.
 1993 09  467065.
 1993 10  767118.
 1993 11  477127.
 1993 12  747390.
 1994 01 987318.
 1994 02 587165.
 1994 03 997180·
 1994 04 947122·
 1994 05 977193.
 1994 06 207377·
 1994 07 337301·
 1994 08 947282·
 1994 09 957110·
 1994 10 437200.
 1994 11 637294.
 1994 12 177444.
 1995 01  657335·
 1995 02  357301·
 1995 03  257207·
 1995 04  347176·
 1995 05  107116·
 1995 06  267234.
 1995 07  837300.
 1995 08  397297.
 1995 09  547289·
 1995 10  737297·
 1995 11  257380·
 1995 12  497439.
 1996 01 477239.
 1996 02 587254.
 1996 03 647304.
 1996 04 117395.
 1996 05 657525.
 1996 06 887639·
 1996 07 377661.
 1996 08 927499.
 1996 09 97442·
 1996 10 947514.
 1996 11 77516.
 1996 12 877393.
 1997 01  37206·
 1997 02  337306·
 1997 03  637424·
 1997 04  157553.
 1997 05  987768.
 1997 06  867776·
 1997 07  177717·
 1997 08  207746·
 1997 09  707589·
 1997 10  617595·
 1997 11  77622.
 1997 12  727617·
 1998 01 197401·
 1998 02 887504.
 1998 03 957603.
 1998 04 647740.
 1998 05 707877·
 1998 06 247919.
 1998 07 717906.
 1998 08 157725.
 1998 09 747670·
 1998 10 527595.
 1998 11 477816·
 1998 12 717845·
 1999 01  57645·
 1999 02  777788.
 1999 03  607740·
 1999 04  997784.
 1999 05  667882.
 1999 06  327853.
 1999 07  737832·
 1999 08  947822.
 1999 09  807621·
 1999 10  737822·
 1999 11  757732.
 1999 12  767826.
 2000 01 988189.
 2000 02 818158·
 2000 03 797882.
 2000 04 877858·
 2000 05 967884.
 2000 06 637769·
 2000 07 218160.
 2000 08 988112.
 2000 09 747935·
 2000 10 527975·
 2000 11 667744.
 2000 12 38061·
 2001 01  578022·
 2001 02  37982.
 2001 03  08069·
 2001 04  217940·
 2001 05  967933.
 2001 06  988008.
 2001 07  388155·
 2001 08  958198·
 2001 09  668103.
 2001 10  448133·
 2001 11  168049.
 2001 12  957984·
 2002 01 687742.
 2002 02 727717·
 2002 03 987756.
 2002 04 167677·
 2002 05 277916·
 2002 06 398044·
 2002 07 718222·
 2002 08 768279·
 2002 09 938099·
 2002 10 287994.
 2002 11 497952·
 2002 12 198127·
 2003 01  427969·
 2003 02  438306·
 2003 03  698126.
 2003 04  158161·
 2003 05  748267·
 2003 06  188284·
 2003 07  948368.
 2003 08  578366.
 2003 09  148197·
 2003 10  88271.
 2003 11  138524·
 2003 12  658705·
 2004 01 148558·
 2004 02 958507·
 2004 03 378114.
 2004 04 848047·
 2004 05 488281·
 2004 06 878160.
 2004 07 58352.
 2004 08 818181·
 2004 09 168160.
 2004 10 148371·
 2004 11 818569·
 2004 12 528723.
 2005 01  458533·
 2005 02  338798·
 2005 03  508759.
 2005 04  158672·
 2005 05  848606.
 2005 06  268475·
 2005 07  278628·
 2005 08  158618.
 2005 09  98560.
 2005 10  08557·
 2005 11  508637.
 2005 12  208756.
 2006 01 208690·
 2006 02 858596.
 2006 03 818646.
 2006 04 258709·
 2006 05 438675.
 2006 06 408610.
 2006 07 88471·
 2006 08 508394.
 2006 09 288450.
 2006 10 458358.
 2006 11 458603·
 2006 12 378563·
 2007 01  508383.
 2007 02  78211.
 2007 03  288386.
 2007 04  578541.
 2007 05  108486.
 2007 06  588711·
 2007 07  218516.
 2007 08  38161.
 2007 09  338155·
 2007 10  548472.
 2007 11  128560.
 2007 12  948609.
 2008 01 708657.
 2008 02 778532·
 2008 03 148530.
 2008 04 758651·
 2008 05 968304·
 2008 06 338339·
 2008 07 648208·
 2008 08 158313·
 2008 09 128432.
 2008 10 558538·
 2008 11 268595.
 2008 12 88555.
 2009 01  428100·
 2009 02  998174.
 2009 03  878138.
 2009 04  738184.
 2009 05  378121·
 2009 06  468104·
 2009 07  617986.
 2009 08  557984.
 2009 09  737865.
 2009 10  48098·
 2009 11  848102·
 2009 12  217961.
 2010 01 507911.
 2010 02 37857.
 2010 03 208065·
 2010 04 687984.
 2010 05 937975·
 2010 06 17992·
 2010 07 587841·
 2010 08 127983.
 2010 09 538089·
 2010 10 798180·
 2010 11 98474·
 2010 12 08444.
 2011 01  58251·
 2011 02  448173·
 2011 03  127976·
 2011 04  07966·
 2011 05  498059·
 2011 06  278095·
 2011 07  298141·
 2011 08  58100.
 2011 09  118224.
 2011 10  858346.
 2011 11  498436.
 2011 12  368450·
 2012 01 428289.
 2012 02 08238·
 2012 03 848357.
 2012 04 378345·
 2012 05 168229·
 2012 06 788407·
 2012 07 738454.
 2012 08 768393·
 2012 09 358324·
 2012 10 518451.
 2012 11 788401·
 2012 12 478513·
 2013 01  238435.
 2013 02  768169.
 2013 03  868110.
 2013 04  708262.
 2013 05  308155.
 2013 06  348163·
 2013 07  128210·
 2013 08  898366.
 2013 09  338248·
 2013 10  318340·
 2013 11  938450.
 2013 12  748490.
 2014 01 328269·
 2014 02 18249.
 2014 03 918451·
 2014 04 178579·
 2014 05 528482·
 2014 06 988683·
 2014 07 948913.
 2014 08 398541.
 2014 09 438507·
 2014 10 58677.
 2014 11 178867·
 2014 12 838926.
 2015 01  818698.
 2015 02  298866·
 2015 03  958610·
 2015 04  198742.
 2015 05  668646.
 2015 06  18545·
 2015 07  938813.
 2015 08  418647.
 2015 09  238500·
 2015 10  778436·
 2015 11  988596.
 2015 12  688804.
 2016 01 48887.
 2016 02 408839·
 2016 03 238554.
 2016 04 438415.
 2016 05 838366·
 2016 06 968278.
 2016 07 68570·
 2016 08 378572·
 2016 09 618515.
 2016 10 768836·
 2016 11 108906·
 2016 12 439007.
 2017 01  639023.
 2017 02  388858·
 2017 03  238754.
 2017 04  818721·
 2017 05  398454·
 2017 06  638577·
 2017 07  578604.
 2017 08  948544.


 2017 09  668644·
 2017 10  578472·
 2017 11  518631·
 2017 12  528583·
 2018 01 428624·
 2018 02 528524.
 2018 03 678391·
 2018 04 498234.
 2018 05 958178.
 2018 06 68468.
 2018 07 938645.
 2018 08 48727.
 2018 09 738698·
 2018 10 998777.
 2018 11 438892.
Economagic: Year Chart
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Similar Series

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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, 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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