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 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  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 9810226.
 2000 02 7410218·
 2000 03 1210186·
 2000 04 8410180.
 2000 05 8510036.
 2000 06 129988.
 2000 07 6510219·
 2000 08 7510300·
 2000 09 5110234.
 2000 10 6110310·
 2000 11 3210063·
 2000 12 7710257.
 2001 01  469963.
 2001 02  29998.
 2001 03  2510128·
 2001 04  349991·
 2001 05  469985·
 2001 06  4310164.
 2001 07  8210025·
 2001 08  1610173.
 2001 09  5110163.
 2001 10  1410399·
 2001 11  6610219.
 2001 12  1710061.
 2002 01 869717.
 2002 02 739691·
 2002 03 659836·
 2002 04 559838.
 2002 05 210201.
 2002 06 210366·
 2002 07 9210536·
 2002 08 7510655·
 2002 09 7410339·
 2002 10 610253·
 2002 11 8410210·
 2002 12 4610385.
 2003 01  310292·
 2003 02  1710644.
 2003 03  610517.
 2003 04  6210419·
 2003 05  1410477.
 2003 06  9310689.
 2003 07  4310968·
 2003 08  4310992.
 2003 09  5710898·
 2003 10  1410833.
 2003 11  1111026.
 2003 12  3211229.
 2004 01 711123.
 2004 02 8810974.
 2004 03 4510704.
 2004 04 9810799·
 2004 05 6610804.
 2004 06 4610840·
 2004 07 1011154·
 2004 08 3610838.
 2004 09 5910732·
 2004 10 4410934·
 2004 11 9311097.
 2004 12 6511096.
 2005 01  3510910·
 2005 02  6511195.
 2005 03  711122·
 2005 04  2911199.
 2005 05  7111053·
 2005 06  1510855.
 2005 07  8911228·
 2005 08  9811313.
 2005 09  6711215.
 2005 10  2511196.
 2005 11  411232.
 2005 12  6411199.
 2006 01 4711186·
 2006 02 5211131.
 2006 03 3811083.
 2006 04 4811229.
 2006 05 6311213·
 2006 06 7911117·
 2006 07 511010·
 2006 08 9310952·
 2006 09 9011006.
 2006 10 1011050·
 2006 11 4211227·
 2006 12 6911078·
 2007 01  2810999.
 2007 02  7910713.
 2007 03  1210737·
 2007 04  7011093.
 2007 05  310860.
 2007 06  4211094.
 2007 07  410931.
 2007 08  1510631·
 2007 09  6510547·
 2007 10  8010853.
 2007 11  3010932·
 2007 12  4810927·
 2008 01 8910816·
 2008 02 010557·
 2008 03 2810693.
 2008 04 3910835.
 2008 05 7610687.
 2008 06 3410588·
 2008 07 6010510·
 2008 08 8010544·
 2008 09 5110664·
 2008 10 3910833·
 2008 11 1610740.
 2008 12 9210615·
 2009 01  6510161·
 2009 02  9510217.
 2009 03  710305·
 2009 04  1910258.
 2009 05  9310350.
 2009 06  1010259·
 2009 07  7210285.
 2009 08  3010185.
 2009 09  359942.
 2009 10  1510052.
 2009 11  7310077.
 2009 12  199972·
 2010 01 189953·
 2010 02 679984.
 2010 03 9810098·
 2010 04 59971.
 2010 05 9010062·
 2010 06 4710223·
 2010 07 6110119.
 2010 08 3210261.
 2010 09 2810228·
 2010 10 6310201.
 2010 11 9910610·
 2010 12 6910503·
 2011 01  3110335·
 2011 02  4610441.
 2011 03  7510209.
 2011 04  1110104·
 2011 05  2610225.
 2011 06  5210185·
 2011 07  7710316.
 2011 08  7610115.
 2011 09  6310263.
 2011 10  6310531·
 2011 11  1710520.
 2011 12  1010560.
 2012 01 1710332·
 2012 02 8610137·
 2012 03 3510374.
 2012 04 8010479·
 2012 05 8910400.
 2012 06 5210674.
 2012 07 9210691.
 2012 08 8210573·
 2012 09 310512·
 2012 10 1910500·
 2012 11 7610390·
 2012 12 3310488·
 2013 01  1010481.
 2013 02  6710201.
 2013 03  110188.
 2013 04  7910266·
 2013 05  8710164·
 2013 06  310380·
 2013 07  410530·
 2013 08  8910575·
 2013 09  3210440.
 2013 10  5910400.
 2013 11  4810555·
 2013 12  5610441.
 2014 01 7210335.
 2014 02 9210318.
 2014 03 2110486·
 2014 04 010624·
 2014 05 5710465.
 2014 06 8310696·
 2014 07 3610900·
 2014 08 6510481.
 2014 09 6210495.
 2014 10 3910653.
 2014 11 3110841·
 2014 12 2010997·
 2015 01  8710780·
 2015 02  9210897·
 2015 03  6910730·
 2015 04  5910864·
 2015 05  5910742·
 2015 06  9710594.
 2015 07  3710725·
 2015 08  110600·
 2015 09  2710459.
 2015 10  3810467·
 2015 11  4910528.
 2015 12  9210769·
 2016 01 6710971.
 2016 02 1910992·
 2016 03 4210684·
 2016 04 9810367·
 2016 05 7910337.
 2016 06 7410269·
 2016 07 7910632·
 2016 08 1610612·
 2016 09 8810517·
 2016 10 5910855·
 2016 11 4810868.
 2016 12 6310891·
 2017 01  4611056·
 2017 02  5510700·
 2017 03  6310750.
 2017 04  8410661·
 2017 05  2710306·
 2017 06  6910521.


 2017 07  6110717·
 2017 08  4910792.
 2017 09  3210960.
 2017 10  3310559·
 2017 11  410665·
 2017 12  5110625.
 2018 01 8610620·
 2018 02 310633·
 2018 03 8110631·
 2018 04 910528.
 2018 05 3910389.
 2018 06 6110749·
 2018 07 510862·
 2018 08 6810876.
 2018 09 6710851.
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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
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

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