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 Series Title: Total 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 38104·
 2012 03 92121.
 2012 02 5112.
 2012 01 30105.
 2011 12  4495·
 2011 11  25109·
 2011 10  55103.
 2011 09  44114·
 2011 08  84107.
 2011 07  2574.
 2011 06  7472·
 2011 05  2684·
 2011 04  11107·
 2011 03  7474.
 2011 02  7687·
 2011 01  19114·
 2010 12 98128·
 2010 11 78123.
 2010 10 98122·
 2010 09 92100.
 2010 08 4680·
 2010 07 7099·
 2010 06 4130·
 2010 05 41164.
 2010 04 81121·
 2010 03 5116·
 2010 02 8180.
 2010 01 84116.
 2009 12  53109.
 2009 11  66125·
 2009 10  42135·
 2009 09  64108.
 2009 08  37108·
 2009 07  59108.
 2009 06  25127·
 2009 05  52106·
 2009 04  3487.
 2009 03  1692·
 2009 02  9392·
 2009 01  4296·
 2008 12 70149·
 2008 11 93105·
 2008 10 33136.
 2008 09 51111.
 2008 08 94121.
 2008 07 71123·
 2008 06 59151.
 2008 05 26136.
 2008 04 82120·
 2008 03 59128·
 2008 02 9124.
 2008 01 3496.
 2007 12  3492·
 2007 11  87102.
 2007 10  4688.
 2007 09  71114·
 2007 08  77114.
 2007 07  11110.
 2007 06  56116.
 2007 05  54106.
 2007 04  5990·
 2007 03  1586.
 2007 02  54102·
 2007 01  29109·
 2006 12 57147·
 2006 11 3133·
 2006 10 77142.
 2006 09 64141·
 2006 08 71106.
 2006 07 892·
 2006 06 8878·
 2006 05 5377·
 2006 04 2671.
 2006 03 8782.
 2006 02 7584.
 2006 01 1797.
 2005 12  7399·
 2005 11  21117·
 2005 10  51139·
 2005 09  98101.
 2005 08  87111.
 2005 07  1687.
 2005 06  5498·
 2005 05  66104·
 2005 04  69107.
 2005 03  584·
 2005 02  4681.
 2005 01  1597.
 2004 12 4388.
 2004 11 44111.
 2004 10 15100·
 2004 09 6492·
 2004 08 61103.
 2004 07 15106·
 2004 06 75101·
 2004 05 58105·
 2004 04 9871·
 2004 03 2475.
 2004 02 6364.
 2004 01 6590·
 2003 12  5391.
 2003 11  370·
 2003 10  4388.
 2003 09  8081·
 2003 08  5369·
 2003 07  885·
 2003 06  156·
 2003 05  2152·
 2003 04  4845·
 2003 03  2250·
 2003 02  5153·
 2003 01  3488.
 2002 12 1391.
 2002 11 5198·
 2002 10 31124·
 2002 09 87121.
 2002 08 49105.
 2002 07 26103·
 2002 06 496·
 2002 05 7366·
 2002 04 8144.
 2002 03 469·
 2002 02 5781.
 2002 01 1467·
 2001 12  5968.
 2001 11  6757·
 2001 10  470.
 2001 09  51100·
 2001 08  59163.
 2001 07  2260.
 2001 06  8260.
 2001 05  5667.
 2001 04  8173.
 2001 03  9976.
 2001 02  5567.
 2001 01  2170.
 2000 12 5178·
 2000 11 5778.
 2000 10 1070.
 2000 09 6697·
 2000 08 1874.
 2000 07 7599·
 2000 06 5971.
 2000 05 3561.
 2000 04 6074·
 2000 03 6284·
 2000 02 42102.
 2000 01 97101·
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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 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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