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 Series Title: Men, employed government wage and salary workers in Wholesale and retail trade: NSA
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 2000 01 4949.
 2000 02 8649·
 2000 03 334·
 2000 04 4029·
 2000 05 6332.
 2000 06 3630.
 2000 07 2956·
 2000 08 4034.
 2000 09 4850.
 2000 10 9039·
 2000 11 6240.
 2000 12 4533·
 2001 01  5731·
 2001 02  3120.
 2001 03  1519.
 2001 04  9918·
 2001 05  6429.
 2001 06  6527·
 2001 07  2727.
 2001 08  7179·
 2001 09  7042·
 2001 10  2433·
 2001 11  5924.
 2001 12  5530·
 2002 01 028·
 2002 02 6436·
 2002 03 9925·
 2002 04 7118·
 2002 05 533·
 2002 06 6754.
 2002 07 6252·
 2002 08 6244.
 2002 09 5967.
 2002 10 3944·
 2002 11 8336.
 2002 12 9830.
 2003 01  6433·
 2003 02  1228.
 2003 03  2828·
 2003 04  7318·
 2003 05  4522.
 2003 06  4429.
 2003 07  8245.
 2003 08  738·
 2003 09  5138.
 2003 10  1526·
 2003 11  6035·
 2003 12  4246·
 2004 01 6040·
 2004 02 3239·
 2004 03 9934·
 2004 04 4935·
 2004 05 7043·
 2004 06 2754.
 2004 07 6145·
 2004 08 2151·
 2004 09 744·
 2004 10 5637·
 2004 11 3647.
 2004 12 7730.
 2005 01  2233.
 2005 02  136·
 2005 03  3544.
 2005 04  6355.
 2005 05  9052·
 2005 06  6944.
 2005 07  9732·
 2005 08  4645·
 2005 09  1246.
 2005 10  9182.
 2005 11  8566·
 2005 12  2159.
 2006 01 1252.
 2006 02 2438·
 2006 03 8534.
 2006 04 834.
 2006 05 4235.
 2006 06 5055·
 2006 07 1362.
 2006 08 5068.
 2006 09 7669.
 2006 10 7570·
 2006 11 460·
 2006 12 1664·
 2007 01  1549·
 2007 02  3148.
 2007 03  2232.
 2007 04  127.
 2007 05  8541·
 2007 06  7559.
 2007 07  5649·
 2007 08  2350.
 2007 09  3565.
 2007 10  8753·
 2007 11  1745.
 2007 12  2843.
 2008 01 4245.
 2008 02 7660·
 2008 03 4457.
 2008 04 8360·
 2008 05 568.
 2008 06 7274.
 2008 07 059·
 2008 08 8460·
 2008 09 5044·
 2008 10 3265.
 2008 11 7252·
 2008 12 4972.
 2009 01  2747·
 2009 02  3739·
 2009 03  7342·
 2009 04  2245·
 2009 05  1362.
 2009 06  9672·
 2009 07  4264·
 2009 08  7352·
 2009 09  648·
 2009 10  3856·
 2009 11  4164·
 2009 12  9551.
 2010 01 3359.
 2010 02 2031.
 2010 03 5951·
 2010 04 960·
 2010 05 4487·
 2010 06 2650.
 2010 07 742·
 2010 08 5742·
 2010 09 1446·
 2010 10 6047.
 2010 11 2455.
 2010 12 1068.
 2011 01  4364.
 2011 02  5459.
 2011 03  7341·
 2011 04  6054.
 2011 05  5836.
 2011 06  6626·
 2011 07  4126·
 2011 08  2933·
 2011 09  950.
 2011 10  7758·
 2011 11  4259·
 2011 12  5858.
 2012 01 7065.


 2012 02 9364·
 2012 03 1462·
 2012 04 1949·
 2012 05 4351·
 2012 06 4664·
 2012 07 1965.
 2012 08 474.
 2012 09 5282·
 2012 10 9399·
 2012 11 4573·
 2012 12 3474.
 2013 01  4878.
 2013 02  1658.
 2013 03  560.
 2013 04  5141.
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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: Men, employed government wage and salary workers in Wholesale and retail trade: 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

Unemployment data for every county in the U.S..
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