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 Series Title: Total 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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 2012 04 6914.
 2012 03 9217·
 2012 02 6611.
 2012 01 198.
 2011 12  310·
 2011 11  7112.
 2011 10  818·
 2011 09  1711·
 2011 08  4612·
 2011 07  9313·
 2011 06  409·
 2011 05  5713.
 2011 04  50
 2011 03  388·
 2011 02  5718.
 2011 01  8418.
 2010 12 9028.
 2010 11 1428.
 2010 10 7017.
 2010 09 6720·
 2010 08 6611·
 2010 07 526·
 2010 06 4113·
 2010 05 04.
 2010 04 36·
 2010 03 98·
 2010 02 5814.
 2010 01 120.
 2009 12  5312·
 2009 11  6618·
 2009 10  3410·
 2009 09  161.
 2009 08  909·
 2009 07  3118·
 2009 06  720.
 2009 05  1314.
 2009 04  1522·
 2009 03  3414·
 2009 02  4010.
 2009 01  8612·
 2008 12 5312·
 2008 11 327.
 2008 10 2115·
 2008 09 55
 2008 08 5512.
 2008 07 810.
 2008 06 6313·
 2008 05 6320.
 2008 04 962·
 2008 03 678.
 2008 02 311.
 2008 01 813.
 2007 12  769.
 2007 11  4111·
 2007 10  418·
 2007 09  110·
 2007 08  2113.
 2007 07  8713.
 2007 06  5510·
 2007 05  44
 2007 04  816·
 2007 03  878.
 2007 02  6911.
 2007 01  5210·
 2006 12 329·
 2006 11 4711.
 2006 10 829·
 2006 09 9615·
 2006 08 749·
 2006 07 9818.
 2006 06 5821·
 2006 05 7010·
 2006 04 3215·
 2006 03 998·
 2006 02 853.
 2006 01 9213·
 2005 12  5614·
 2005 11  2924.
 2005 10  7619·
 2005 09  712·
 2005 08  238·
 2005 07  968·
 2005 06  6910.
 2005 05  846·
 2005 04  323.
 2005 03  314·
 2005 02  265.
 2005 01  176·
 2004 12 1011·
 2004 11 9214.
 2004 10 3612.
 2004 09 259.
 2004 08 518·
 2004 07 597.
 2004 06 1112·
 2004 05 536.
 2004 04 9412.
 2004 03 398.
 2004 02 907.
 2004 01 699·
 2003 12  7810.
 2003 11  657.
 2003 10  349·
 2003 09  6818.
 2003 08  8012.
 2003 07  9216.
 2003 06  3310.
 2003 05  694.
 2003 04  534.
 2003 03  29.
 2003 02  983.
 2003 01  152·
 2002 12 710.
 2002 11 25.
 2002 10 688·
 2002 09 778.
 2002 08 345·
 2002 07 2411·
 2002 06 617.
 2002 05 4812.
 2002 04 693.
 2002 03 2413·
 2002 02 013.
 2002 01 4713.
 2001 12  2513.
 2001 11  839.
 2001 10  626.
 2001 09  184.
 2001 08  7719.
 2001 07  913.
 2001 06  3113·
 2001 05  328.
 2001 04  275·
 2001 03  332·
 2001 02  682.
 2001 01  816·
 2000 12 05·
 2000 11 1214·
 2000 10 637·
 2000 09 8511.
 2000 08 458.
 2000 07 2710.
 2000 06 2812.
 2000 05 8814·
 2000 04 3915.
 2000 03 8517·
 2000 02 122·
 2000 01 59
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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: Total 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
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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