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 Series Title: Men, employed government wage and salary workers in Information: NSA
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 2012 04 4447·
 2012 03 4963·
 2012 02 351.
 2012 01 4641·
 2011 12  4346·
 2011 11  6027·
 2011 10  6525.
 2011 09  5747·
 2011 08  1547.
 2011 07  7547·
 2011 06  3465·
 2011 05  7351.
 2011 04  1051·
 2011 03  7750.
 2011 02  2332·
 2011 01  3764·
 2010 12 366.
 2010 11 7275·
 2010 10 7062·
 2010 09 2051.
 2010 08 9448.
 2010 07 9249·
 2010 06 3849.
 2010 05 1655·
 2010 04 1059·
 2010 03 9253.
 2010 02 1536.
 2010 01 4251·
 2009 12  143·
 2009 11  5658·
 2009 10  1368·
 2009 09  4561·
 2009 08  4144.
 2009 07  8941·
 2009 06  7138·
 2009 05  9255·
 2009 04  3257·
 2009 03  2461·
 2009 02  5152.
 2009 01  7854.
 2008 12 9951.
 2008 11 1646·
 2008 10 4275.
 2008 09 2244·
 2008 08 9147·
 2008 07 4839.
 2008 06 5529·
 2008 05 6828.
 2008 04 8654·
 2008 03 2644·
 2008 02 3050·
 2008 01 8656·
 2007 12  8124.
 2007 11  8233.
 2007 10  2943·
 2007 09  6948.
 2007 08  551.
 2007 07  7241·
 2007 06  3935.
 2007 05  3635·
 2007 04  651·
 2007 03  7845·
 2007 02  7452·
 2007 01  3344.
 2006 12 6040.
 2006 11 738·
 2006 10 7249·
 2006 09 2736·
 2006 08 6747·
 2006 07 9040·
 2006 06 9632.
 2006 05 1342.
 2006 04 5337.
 2006 03 8452·
 2006 02 3251.
 2006 01 1148·
 2005 12  6947·
 2005 11  7141·
 2005 10  9532·
 2005 09  6330.
 2005 08  8926·
 2005 07  5729.
 2005 06  2329·
 2005 05  4146·
 2005 04  1452.
 2005 03  7453.
 2005 02  7741.
 2005 01  3643·
 2004 12 7050·
 2004 11 7847·
 2004 10 4660.
 2004 09 7053.
 2004 08 652.
 2004 07 5258·
 2004 06 4441·
 2004 05 8544.
 2004 04 9961·
 2004 03 161·
 2004 02 755·
 2004 01 5249.
 2003 12  4846.
 2003 11  5847.
 2003 10  9852·
 2003 09  6345·
 2003 08  7942·
 2003 07  7947·
 2003 06  637.
 2003 05  3950.
 2003 04  4247·
 2003 03  4639·
 2003 02  4458·
 2003 01  2335.
 2002 12 1326.
 2002 11 6520·
 2002 10 4924.
 2002 09 8537.
 2002 08 9342·
 2002 07 6847.
 2002 06 8448·
 2002 05 1851·
 2002 04 532.
 2002 03 1240·
 2002 02 3741·
 2002 01 4340.
 2001 12  243·
 2001 11  7829·
 2001 10  2140·
 2001 09  242.
 2001 08  5837·
 2001 07  7339.
 2001 06  7439·
 2001 05  6638.
 2001 04  7432·
 2001 03  2835.
 2001 02  5938·
 2001 01  2737.
 2000 12 7532.
 2000 11 120.
 2000 10 6318·
 2000 09 628.
 2000 08 1129·
 2000 07 7232.
 2000 06 027.
 2000 05 4742·
 2000 04 5834·
 2000 03 5044.
 2000 02 847·
 2000 01 1958·
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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 Information: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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