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 Series Title: Employment: Nonagriculture Private wage and salary workers in Wholesale and retail trade industry, Men: NSA
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 2000 01 410226·
 2000 02 010218·
 2000 03 1510186.
 2000 04 5010180.
 2000 05 3410036·
 2000 06 959988·
 2000 07 6410219·
 2000 08 110300·
 2000 09 4910234.
 2000 10 710310.
 2000 11 3210063·
 2000 12 6910257.
 2001 01  999963.
 2001 02  179998.
 2001 03  3310128.
 2001 04  999991·
 2001 05  619985.
 2001 06  3310164.
 2001 07  510025·
 2001 08  6010173.
 2001 09  3310163·
 2001 10  8710399.
 2001 11  910219.
 2001 12  4510061·
 2002 01 429717·
 2002 02 349691.
 2002 03 369836·
 2002 04 749838·
 2002 05 3910201.
 2002 06 5610366·
 2002 07 9610536.
 2002 08 9210655·
 2002 09 9710339.
 2002 10 6110253.
 2002 11 2810210.
 2002 12 6610385·
 2003 01  1910292.
 2003 02  7910644·
 2003 03  9510517·
 2003 04  9210419·
 2003 05  2810477.
 2003 06  6810689.
 2003 07  8510968·
 2003 08  8910992.
 2003 09  7710898.
 2003 10  810833·
 2003 11  1011026.
 2003 12  011229·
 2004 01 3911123·
 2004 02 810974·
 2004 03 1010704.
 2004 04 9510799.
 2004 05 1510804.
 2004 06 9710840.
 2004 07 4511154·
 2004 08 6810838·
 2004 09 3210732.
 2004 10 3410934·
 2004 11 511097.
 2004 12 3811096.
 2005 01  3910910.
 2005 02  9911195.
 2005 03  211122.
 2005 04  5011199·
 2005 05  1111053.
 2005 06  9910855.
 2005 07  7411228·
 2005 08  7211313·
 2005 09  4911215.
 2005 10  6611196·
 2005 11  8511232·
 2005 12  9811199·
 2006 01 7811186.
 2006 02 5611131.
 2006 03 2111083·
 2006 04 4811229.
 2006 05 4911213·
 2006 06 5211117.
 2006 07 9611010·
 2006 08 6610952.
 2006 09 3811006·
 2006 10 5911050·
 2006 11 4811227.
 2006 12 2011078·
 2007 01  4410999·
 2007 02  1010713·
 2007 03  3910737.
 2007 04  611093.
 2007 05  9210860·
 2007 06  6011094·
 2007 07  5810931·
 2007 08  4210631.
 2007 09  3410547.
 2007 10  9310853.
 2007 11  1710932·
 2007 12  7310927·
 2008 01 4510816·
 2008 02 1310557·
 2008 03 5410693.
 2008 04 6710835·
 2008 05 2510687·
 2008 06 5410588·
 2008 07 3310510·
 2008 08 1810544·
 2008 09 9910664·
 2008 10 7110833·
 2008 11 4010740.
 2008 12 4610615.
 2009 01  1810161.
 2009 02  4710217·
 2009 03  9010305.
 2009 04  9610258.
 2009 05  5710350·
 2009 06  8710259.
 2009 07  1910285.
 2009 08  3510185·
 2009 09  179942.
 2009 10  2410052.
 2009 11  9110077.
 2009 12  599972.
 2010 01 239953.
 2010 02 149984.
 2010 03 9310098·
 2010 04 859971.
 2010 05 2610062·
 2010 06 3910223·
 2010 07 4010119.
 2010 08 6010261·
 2010 09 010228.
 2010 10 510201.
 2010 11 6710610·
 2010 12 5110503.
 2011 01  4610335.
 2011 02  4410441·
 2011 03  3910209.
 2011 04  5310104·
 2011 05  9010225.
 2011 06  1310185.
 2011 07  4310316.
 2011 08  8410115.
 2011 09  8210263.
 2011 10  9410531·
 2011 11  9110520.
 2011 12  9010560.
 2012 01 9810332·
 2012 02 9210137·
 2012 03 2310374.
 2012 04 3910479·
 2012 05 3710400.
 2012 06 4010674.
 2012 07 110691.
 2012 08 2510573.
 2012 09 2510512·
 2012 10 9510500.
 2012 11 1210390·
 2012 12 6810488.
 2013 01  1310481·
 2013 02  3710201.
 2013 03  7110188·
 2013 04  1110266.
 2013 05  7610164.
 2013 06  7410380·
 2013 07  1310530.
 2013 08  2510575.
 2013 09  1410440·
 2013 10  3710400·
 2013 11  310555·
 2013 12  210441.
 2014 01 5210335·
 2014 02 8210318.
 2014 03 2810486.
 2014 04 6210624.
 2014 05 4210465·
 2014 06 9310696·
 2014 07 210900·
 2014 08 4910481·
 2014 09 5910495·
 2014 10 7410653·
 2014 11 6110841·
 2014 12 3310997.
 2015 01  210780.
 2015 02  5810897·
 2015 03  6910730.
 2015 04  710864·
 2015 05  9710742·
 2015 06  210594·
 2015 07  1510725.
 2015 08  9010600.
 2015 09  9610459.
 2015 10  8710467.
 2015 11  1010528.
 2015 12  2810769.
 2016 01 7210971.
 2016 02 1910992.
 2016 03 9210684.
 2016 04 8810367.
 2016 05 2710337.
 2016 06 3110269·
 2016 07 2510632.
 2016 08 6510612.
 2016 09 8510517.
 2016 10 7810855.
 2016 11 9710868·
 2016 12 7910891.
 2017 01  9811056.
 2017 02  4410700·
 2017 03  2010750·
 2017 04  7210661·
 2017 05  4010306.
 2017 06  3310521·
 2017 07  3210717.
 2017 08  1610792.
 2017 09  1310960.
 2017 10  7910559·
 2017 11  9610665·
 2017 12  210625·


 2018 01 4110620·
 2018 02 3710633·
 2018 03 010631.
 2018 04 5210528.
 2018 05 7410389·
 2018 06 8910749.
 2018 07 5710862·
 2018 08 810876.
 2018 09 8910851.
 2018 10 4210935.
 2018 11 510899·
 2018 12 4110766.
 2019 01  8510398.
 2019 02  2710341·
 2019 03  610258.
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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: Employment: Nonagriculture Private wage and salary workers in Wholesale and retail trade industry, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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