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 Series Title: Men, employed government wage and salary workers in Wholesale trade: NSA
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 2012 04 416.
 2012 03 3710·
 2012 02 778.
 2012 01 955·
 2011 12  497·
 2011 11  999·
 2011 10  88.
 2011 09  678.
 2011 08  496·
 2011 07  859.
 2011 06  649·
 2011 05  625.
 2011 04  900·
 2011 03  765·
 2011 02  6015·
 2011 01  2517.
 2010 12 4923·
 2010 11 7823.
 2010 10 3214·
 2010 09 2513·
 2010 08 2511.
 2010 07 246·
 2010 06 4312·
 2010 05 564.
 2010 04 443·
 2010 03 708·
 2010 02 8214·
 2010 01 3817.
 2009 12  579.
 2009 11  9812.
 2009 10  623·
 2009 09  130.
 2009 08  38
 2009 07  1418.
 2009 06  1916·
 2009 05  5211·
 2009 04  8815.
 2009 03  5010.
 2009 02  187·
 2009 01  4912.
 2008 12 3212.
 2008 11 637.
 2008 10 4614.
 2008 09 237.
 2008 08 2212.
 2008 07 3310·
 2008 06 1613.
 2008 05 1814·
 2008 04 312.
 2008 03 69
 2008 02 655·
 2008 01 23·
 2007 12  61
 2007 11  19·
 2007 10  5814.
 2007 09  717.
 2007 08  38
 2007 07  876.
 2007 06  8110·
 2007 05  433.
 2007 04  106.
 2007 03  76·
 2007 02  4711·
 2007 01  6310.
 2006 12 559.
 2006 11 6811.
 2006 10 959·
 2006 09 9915·
 2006 08 729.
 2006 07 318·
 2006 06 8721.
 2006 05 468·
 2006 04 8613·
 2006 03 678.
 2006 02 112.
 2006 01 2311.
 2005 12  4811·
 2005 11  4319·
 2005 10  8015·
 2005 09  749.
 2005 08  347·
 2005 07  378·
 2005 06  3210·
 2005 05  696.
 2005 04  433·
 2005 03  80
 2005 02  305.
 2005 01  04.
 2004 12 26.
 2004 11 306.
 2004 10 624·
 2004 09 884·
 2004 08 6012.
 2004 07 673.
 2004 06 4011.
 2004 05 776·
 2004 04 938.
 2004 03 994·
 2004 02 34·
 2004 01 365·
 2003 12  210·
 2003 11  587·
 2003 10  145·
 2003 09  5814.
 2003 08  1112.
 2003 07  9911.
 2003 06  593.
 2003 03  636·
 2003 02  713.
 2002 12 50·
 2002 11 533.
 2002 10 965·
 2002 09 57
 2002 07 816.
 2002 06 3312.
 2002 05 2512·
 2002 04 713.
 2002 03 618·
 2002 02 618.
 2002 01 4410·
 2001 12  379.
 2001 11  07·
 2001 10  276.
 2001 09  733·
 2001 08  518·
 2001 07  8011.
 2001 06  4211.
 2001 05  566.
 2001 04  523·
 2000 11 78.
 2000 10 454.
 2000 09 616·
 2000 08 775·
 2000 07 14
 2000 06 995.
 2000 05 843.
 2000 04 65.
 2000 03 579.
 2000 02 9016.
 2000 01 43
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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 trade: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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