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 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
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 2012 04 5549.
 2012 03 8662.
 2012 02 3864·
 2012 01 3365.
 2011 12  1658.
 2011 11  3659·
 2011 10  4158.
 2011 09  1150·
 2011 08  733·
 2011 07  4626·
 2011 06  626·
 2011 05  5036.
 2011 04  7654·
 2011 03  9941·
 2011 02  4859.
 2011 01  9464.
 2010 12 068·
 2010 11 255·
 2010 10 447.
 2010 09 1246.
 2010 08 7942.
 2010 07 8542.
 2010 06 3850.
 2010 05 087·
 2010 04 3960·
 2010 03 651·
 2010 02 3631.
 2010 01 7459.
 2009 12  2951.
 2009 11  4664·
 2009 10  1256·
 2009 09  8148.
 2009 08  2552.
 2009 07  1264·
 2009 06  472.
 2009 05  8962.
 2009 04  2845.
 2009 03  3542·
 2009 02  7439.
 2009 01  9247.
 2008 12 6372.
 2008 11 7252.
 2008 10 1165.
 2008 09 944.
 2008 08 8160·
 2008 07 559·
 2008 06 2874·
 2008 05 8568·
 2008 04 5660.
 2008 03 4157·
 2008 02 6260.
 2008 01 8845.
 2007 12  8943.
 2007 11  1045·
 2007 10  7653·
 2007 09  1365.
 2007 08  650.
 2007 07  7049.
 2007 06  5859.
 2007 05  7941·
 2007 04  5627.
 2007 03  332·
 2007 02  2148·
 2007 01  2949·
 2006 12 1664·
 2006 11 1460·
 2006 10 370.
 2006 09 3469·
 2006 08 8668.
 2006 07 3662.
 2006 06 6655.
 2006 05 8735.
 2006 04 9134.
 2006 03 2534.
 2006 02 038·
 2006 01 852·
 2005 12  8159·
 2005 11  6366.
 2005 10  1682.
 2005 09  4046·
 2005 08  3245·
 2005 07  5732·
 2005 06  5244.
 2005 05  5352.
 2005 04  4455.
 2005 03  3844.
 2005 02  7236.
 2005 01  4133.
 2004 12 4330.
 2004 11 6247·
 2004 10 6337·
 2004 09 2244·
 2004 08 7951·
 2004 07 1245.
 2004 06 3854.
 2004 05 4243·
 2004 04 2835.
 2004 03 9434·
 2004 02 3539.
 2004 01 6940·
 2003 12  8946.
 2003 11  3935·
 2003 10  1726.
 2003 09  9738·
 2003 08  8938.
 2003 07  545·
 2003 06  7129.
 2003 05  4622·
 2003 04  7718.
 2003 03  7328.
 2003 02  1228·
 2003 01  6033·
 2002 12 2930.
 2002 11 5036.
 2002 10 7644·
 2002 09 767.
 2002 08 4544·
 2002 07 6752·
 2002 06 2654.
 2002 05 8333·
 2002 04 5218·
 2002 03 8025·
 2002 02 5136.
 2002 01 528.
 2001 12  9830·
 2001 11  7324·
 2001 10  6333·
 2001 09  1942.
 2001 08  6079.
 2001 07  5027.
 2001 06  027.
 2001 05  9329.
 2001 04  3818.
 2001 03  4519.
 2001 02  2520·
 2001 01  2231.
 2000 12 5733·
 2000 11 1240·
 2000 10 2639.
 2000 09 2450.
 2000 08 6834·
 2000 07 3556·
 2000 06 1630·
 2000 05 4432·
 2000 04 4629.
 2000 03 2034·
 2000 02 3349.
 2000 01 5149.
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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

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