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 Series Title: Employed: Wage and salary workers, Retail trade, Men: NSA
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 2000 01 187652.
 2000 02 357634.
 2000 03 647446.
 2000 04 767383.
 2000 05 687444.
 2000 06 357355·
 2000 07 807689.
 2000 08 307626·
 2000 09 967482.
 2000 10 477538·
 2000 11 97278·
 2000 12 947587.
 2001 01  547519.
 2001 02  517479·
 2001 03  647603.
 2001 04  147461.
 2001 05  167463.
 2001 06  547528.
 2001 07  837619·
 2001 08  597701·
 2001 09  847589·
 2001 10  887643.
 2001 11  307604.
 2001 12  227523·
 2002 01 817277·
 2002 02 107271·
 2002 03 917325·
 2002 04 227244.
 2002 05 607479.
 2002 06 07572.
 2002 07 817724.
 2002 08 57768.
 2002 09 957619·
 2002 10 677488.
 2002 11 367439.
 2002 12 387648.
 2003 01  867497·
 2003 02  417826·
 2003 03  207692·
 2003 04  177670·
 2003 05  597776.
 2003 06  797814.
 2003 07  207903.
 2003 08  607904·
 2003 09  657756.
 2003 10  637801.
 2003 11  507967.
 2003 12  118169·
 2004 01 788058·
 2004 02 997981.
 2004 03 477684.
 2004 04 407617.
 2004 05 997825.
 2004 06 207697·
 2004 07 747909·
 2004 08 417732·
 2004 09 547659.
 2004 10 807899·
 2004 11 198064.
 2004 12 338196·
 2005 01  937978·
 2005 02  648237.
 2005 03  968198·
 2005 04  598127.
 2005 05  928068·
 2005 06  767950.
 2005 07  418093.
 2005 08  908104.
 2005 09  508037.
 2005 10  498000·
 2005 11  188100·
 2005 12  198222.
 2006 01 938172·
 2006 02 388091·
 2006 03 158141·
 2006 04 658239.
 2006 05 718218·
 2006 06 278127·
 2006 07 447960·
 2006 08 737891.
 2006 09 607993·
 2006 10 227907·
 2006 11 448129·
 2006 12 128056.
 2007 01  617903.
 2007 02  537732.
 2007 03  777904·
 2007 04  758096.
 2007 05  987987·
 2007 06  788201·
 2007 07  318003.
 2007 08  837700.
 2007 09  237675.
 2007 10  798032·
 2007 11  198126·
 2007 12  788191·
 2008 01 98228.
 2008 02 628017.
 2008 03 798068·
 2008 04 318156.
 2008 05 597851·
 2008 06 587901.
 2008 07 757784.
 2008 08 357896.
 2008 09 978002.
 2008 10 258120.
 2008 11 938171.
 2008 12 108130·
 2009 01  737739.
 2009 02  437769.
 2009 03  467764.
 2009 04  997804·
 2009 05  647749·
 2009 06  217699·
 2009 07  737588.
 2009 08  727576·
 2009 09  687426·
 2009 10  887687·
 2009 11  377641.
 2009 12  247503·
 2010 01 137486·
 2010 02 37479.
 2010 03 257701.
 2010 04 727569.
 2010 05 487559·
 2010 06 467598.
 2010 07 507453·
 2010 08 617576.
 2010 09 487657·
 2010 10 247743·
 2010 11 518031.
 2010 12 618009·
 2011 01  147809·
 2011 02  697784·
 2011 03  897579.
 2011 04  667582·
 2011 05  727665·
 2011 06  387688·
 2011 07  547726.
 2011 08  947683·
 2011 09  717826·
 2011 10  127948·
 2011 11  577996.
 2011 12  908039·
 2012 01 887889·
 2012 02 977855·


 2012 03 377996.
 2012 04 237996.
 2012 05 227853·
 2012 06 268049.
 2012 07 568093.
 2012 08 878024.
 2012 09 987970.
 2012 10 558060·
 2012 11 37996·
 2012 12 18145·
 2013 01  688132.
 2013 02  657856·
 2013 03  907776·
 2013 04  97869·
 2013 05  77783·
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: 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: Wage and salary workers, Retail trade, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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