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 Series Title: Total employed government wage and salary workers in 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 4390·
 2012 03 5105·
 2012 02 77101.
 2012 01 4297·
 2011 12  985·
 2011 11  8797.
 2011 10  9095.
 2011 09  58103·
 2011 08  1695·
 2011 07  4361·
 2011 06  7863·
 2011 05  4871.
 2011 04  14102.
 2011 03  5366.
 2011 02  5669.
 2011 01  5696·
 2010 12 80100.
 2010 11 2595·
 2010 10 60105·
 2010 09 5080·
 2010 08 1370.
 2010 07 9193·
 2010 06 53117·
 2010 05 26160.
 2010 04 39115·
 2010 03 6108·
 2010 02 2466.
 2010 01 297·
 2009 12  897·
 2009 11  53107·
 2009 10  86124·
 2009 09  22107·
 2009 08  96100.
 2009 07  3990.
 2009 06  76107·
 2009 05  5692.
 2009 04  466.
 2009 03  9478·
 2009 02  5682.
 2009 01  9784·
 2008 12 55137.
 2008 11 7698·
 2008 10 16120.
 2008 09 65104.
 2008 08 2109·
 2008 07 67113·
 2008 06 68138.
 2008 05 4116·
 2008 04 18118·
 2008 03 72120.
 2008 02 50113·
 2008 01 8493.
 2007 12  683·
 2007 11  2491·
 2007 10  2471.
 2007 09  97103.
 2007 08  89101.
 2007 07  7997.
 2007 06  79106·
 2007 05  64103·
 2007 04  1984.
 2007 03  1878.
 2007 02  2791.
 2007 01  2899.
 2006 12 70138.
 2006 11 49122.
 2006 10 7133·
 2006 09 59126.
 2006 08 4497·
 2006 07 373.
 2006 06 8158.
 2006 05 5067.
 2006 04 6556.
 2006 03 3773·
 2006 02 3781.
 2006 01 2284.
 2005 12  8585·
 2005 11  3393·
 2005 10  89121·
 2005 09  1889·
 2005 08  77103.
 2005 07  9679·
 2005 06  7388·
 2005 05  697.
 2005 04  44104·
 2005 03  5980·
 2005 02  5376·
 2005 01  8391.
 2004 12 977.
 2004 11 7897.
 2004 10 1787·
 2004 09 6583·
 2004 08 2585.
 2004 07 3599·
 2004 06 7789·
 2004 05 9898·
 2004 04 6559.
 2004 03 3768.
 2004 02 7256·
 2004 01 5181.
 2003 12  3080.
 2003 11  1463.
 2003 10  6479.
 2003 09  1862.
 2003 08  4657·
 2003 07  2570·
 2003 06  4246.
 2003 05  1849.
 2003 04  6341.
 2003 03  5042.
 2003 02  1850·
 2003 01  9585·
 2002 12 5790·
 2002 11 9793.
 2002 10 29116.
 2002 09 19113.
 2002 08 28101·
 2002 07 9693.
 2002 06 4080·
 2002 05 8354.
 2002 04 141·
 2002 03 456.
 2002 02 3868.
 2002 01 654·
 2001 12  2655·
 2001 11  448·
 2001 10  3564.
 2001 09  3396.
 2001 08  80144·
 2001 07  146·
 2001 06  7046·
 2001 05  3359.
 2001 04  6268.
 2001 03  2773·
 2001 02  665·
 2001 01  064.
 2000 12 9873.
 2000 11 4064.
 2000 10 2963·
 2000 09 5486.
 2000 08 3866·
 2000 07 2088·
 2000 06 5558.
 2000 05 3747·
 2000 04 5859.
 2000 03 7467·
 2000 02 1980·
 2000 01 2093·
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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 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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