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 Series Title: Men, 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 04 142·
 2012 03 652·
 2012 02 4056.
 2012 01 8161.
 2011 12  3252.
 2011 11  9551.
 2011 10  7850·
 2011 09  1542.
 2011 08  2328·
 2011 07  7717.
 2011 06  1017.
 2011 05  4032·
 2011 04  2554.
 2011 03  3336·
 2011 02  5044.
 2011 01  247·
 2010 12 1245·
 2010 11 6932·
 2010 10 3533·
 2010 09 7033·
 2010 08 8632.
 2010 07 1735·
 2010 06 2838·
 2010 05 3883·
 2010 04 7157·
 2010 03 3443·
 2010 02 1817.
 2010 01 2542·
 2009 12  1842·
 2009 11  152·
 2009 10  1753·
 2009 09  7548.
 2009 08  344.
 2009 07  2646·
 2009 06  6356.
 2009 05  5752·
 2009 04  2630.
 2009 03  3932.
 2009 02  1832.
 2009 01  6535·
 2008 12 1261·
 2008 11 9845.
 2008 10 7252.
 2008 09 1937.
 2008 08 1149.
 2008 07 8349·
 2008 06 3660·
 2008 05 6354.
 2008 04 058.
 2008 03 249·
 2008 02 4955.
 2008 01 6542.
 2007 12  7738·
 2007 11  8737·
 2007 10  7339·
 2007 09  2158·
 2007 08  7046.
 2007 07  9344·
 2007 06  9749·
 2007 05  4838·
 2007 04  2821·
 2007 03  326.
 2007 02  3337.
 2007 01  9239·
 2006 12 2654.
 2006 11 2349.
 2006 10 1961.
 2006 09 2254.
 2006 08 6559.
 2006 07 8544·
 2006 06 1835·
 2006 05 3027.
 2006 04 7121.
 2006 03 4526·
 2006 02 1736·
 2006 01 3842.
 2005 12  9348·
 2005 11  8647·
 2005 10  3167·
 2005 09  8837.
 2005 08  838.
 2005 07  1325.
 2005 06  9635·
 2005 05  5046·
 2005 04  1551.
 2005 03  5840·
 2005 02  7631.
 2005 01  1830·
 2004 12 4023·
 2004 11 7941.
 2004 10 5933.
 2004 09 1240.
 2004 08 3339·
 2004 07 5641.
 2004 06 5743·
 2004 05 7437.
 2004 04 7027·
 2004 03 9730.
 2004 02 836·
 2004 01 7635.
 2003 12  5136·
 2003 11  3328·
 2003 10  7521·
 2003 09  1024·
 2003 08  126.
 2003 07  2034.
 2003 06  4626.
 2003 05  9622.
 2003 04  7118.
 2003 03  4022·
 2003 02  3425.
 2003 01  7733.
 2002 12 3730·
 2002 11 034·
 2002 10 7739·
 2002 09 2463.
 2002 08 9844.
 2002 07 3246·
 2002 06 3842.
 2002 05 3021.
 2002 04 8015.
 2002 03 9217.
 2002 02 428.
 2002 01 1418·
 2001 12  3421.
 2001 11  6218·
 2001 10  8928.
 2001 09  2139·
 2001 08  3460·
 2001 07  4816.
 2001 06  3016·
 2001 05  1923·
 2001 04  8215.
 2001 03  8219·
 2001 02  9020.
 2001 01  431.
 2000 12 233·
 2000 11 2132·
 2000 10 5834.
 2000 09 9344.
 2000 08 4528.
 2000 07 4752·
 2000 06 4524.
 2000 05 3128.
 2000 04 8624.
 2000 03 6525.
 2000 02 9133·
 2000 01 8747.
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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 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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