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 Series Title: Men, employed government wage and salary workers in Nondurable goods: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 3512·
 2012 03 6315·
 2012 02 2215.
 2012 01 1011.
 2011 12  482·
 2011 11  5711.
 2011 10  6313·
 2011 09  2012·
 2011 08  647.
 2011 07  8812·
 2011 06  439·
 2011 05  6726·
 2011 04  3524.
 2011 03  3614.
 2011 02  7324·
 2011 01  938·
 2010 12 3512.
 2010 11 825·
 2010 10 9317·
 2010 09 6915·
 2010 08 654.
 2010 07 3613.
 2010 06 6514·
 2010 05 8910·
 2010 04 5111.
 2010 03 7717.
 2010 02 779.
 2010 01 7115·
 2009 12  4212.
 2009 11  1213.
 2009 10  4212.
 2009 09  6016.
 2009 08  1512.
 2009 07  487·
 2009 06  979·
 2009 05  264.
 2009 04  695·
 2009 03  169·
 2009 02  613·
 2009 01  6115.
 2008 12 3011.
 2008 11 7313.
 2008 10 578.
 2008 09 8611.
 2008 08 4912·
 2008 07 19·
 2008 06 622.
 2008 05 448·
 2008 04 0
 2008 03 713·
 2008 02 60
 2008 01 415.
 2007 12  8413.
 2007 11  2124.
 2007 10  1212.
 2007 09  626·
 2007 08  275.
 2007 07  18·
 2007 06  83.
 2007 05  355.
 2007 04  799.
 2007 03  2816·
 2007 02  6011·
 2007 01  688.
 2006 12 1512·
 2006 11 1018·
 2006 10 516·
 2006 09 3011.
 2006 08 3612·
 2006 07 768·
 2006 06 810·
 2006 05 166·
 2006 04 6713.
 2006 03 8612.
 2006 02 5515·
 2006 01 4418.
 2005 12  5817.
 2005 11  1917.
 2005 10  5911·
 2005 09  589.
 2005 08  8612.
 2005 07  8216.
 2005 06  598·
 2005 05  2912·
 2005 04  4916·
 2005 03  810.
 2005 02  185·
 2005 01  499.
 2004 12 7412·
 2004 11 5221.
 2004 10 2213·
 2004 09 3810.
 2004 08 12
 2004 07 978.
 2004 06 86
 2004 05 408.
 2004 04 3613.
 2004 03 4915·
 2004 02 4715·
 2004 01 246·
 2003 12  493·
 2003 11  3910·
 2003 10  6712·
 2003 09  8513.
 2003 08  748.
 2003 07  253·
 2003 06  361.
 2003 05  419·
 2003 04  648.
 2003 03  884.
 2003 02  65
 2003 01  38
 2002 12 923·
 2002 11 347.
 2002 10 9311.
 2002 09 4212.
 2002 08 6022.
 2002 07 9619.
 2002 06 8215·
 2002 05 5017·
 2002 04 9213·
 2002 03 3012.
 2002 02 2010.
 2002 01 8016.
 2001 12  4013·
 2001 11  173·
 2001 10  213.
 2001 09  7611·
 2001 08  7829.
 2001 07  6420·
 2001 06  2120·
 2001 05  814·
 2001 04  76.
 2001 03  410.
 2001 02  856.
 2001 01  6911.
 2000 12 528.
 2000 11 916.
 2000 10 06.
 2000 09 7911·
 2000 08 6511.
 2000 07 919·
 2000 06 7820.
 2000 05 8111.
 2000 04 1916·
 2000 03 645·
 2000 02 599·
 2000 01 46
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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 Nondurable goods: 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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