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 Series Title: Men, employed government wage and salary workers in Utilities: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 86293.
 2012 03 56268.
 2012 02 87279.
 2012 01 92249·
 2011 12  12264·
 2011 11  87266·
 2011 10  62270.
 2011 09  10277·
 2011 08  85312.
 2011 07  98318.
 2011 06  20308·
 2011 05  8302·
 2011 04  55309.
 2011 03  69272.
 2011 02  73263.
 2011 01  30236·
 2010 12 0233.
 2010 11 9234·
 2010 10 59236·
 2010 09 46258·
 2010 08 18287·
 2010 07 49288·
 2010 06 40295.
 2010 05 48314.
 2010 04 35291.
 2010 03 44269.
 2010 02 6255.
 2010 01 57263·
 2009 12  2255.
 2009 11  78257·
 2009 10  68252.
 2009 09  17271.
 2009 08  93312·
 2009 07  56320.
 2009 06  64313.
 2009 05  97282.
 2009 04  10235·
 2009 03  11223.
 2009 02  58203·
 2009 01  90227·
 2008 12 78276.
 2008 11 98238·
 2008 10 37285.
 2008 09 17250.
 2008 08 47253.
 2008 07 0300·
 2008 06 14272.
 2008 05 20302·
 2008 04 92266·
 2008 03 23259.
 2008 02 28258·
 2008 01 70268·
 2007 12  14278.
 2007 11  98256·
 2007 10  40281·
 2007 09  61273.
 2007 08  39290·
 2007 07  83314·
 2007 06  39300·
 2007 05  11278·
 2007 04  16269·
 2007 03  59244.
 2007 02  38253.
 2007 01  65218.
 2006 12 21237·
 2006 11 33252.
 2006 10 74269·
 2006 09 91290·
 2006 08 54335.
 2006 07 36336.
 2006 06 12345.
 2006 05 85313.
 2006 04 42275.
 2006 03 25243.
 2006 02 37234.
 2006 01 65239·
 2005 12  34230·
 2005 11  82270.
 2005 10  64267.
 2005 09  75283.
 2005 08  5305·
 2005 07  13289·
 2005 06  30306.
 2005 05  85327.
 2005 04  56321·
 2005 03  50282.
 2005 02  98260·
 2005 01  88230·
 2004 12 13216.
 2004 11 49239.
 2004 10 56244.
 2004 09 4281·
 2004 08 25287.
 2004 07 93290·
 2004 06 17279.
 2004 05 76267·
 2004 04 69275.
 2004 03 87274·
 2004 02 18240·
 2004 01 75202.
 2003 12  44183.
 2003 11  64189.
 2003 10  23218·
 2003 09  94283.
 2003 08  77276·
 2003 07  79291·
 2003 06  20291.
 2003 05  52261·
 2003 04  16278.
 2003 03  16269.
 2003 02  22247·
 2003 01  94243.
 2002 12 39260·
 2002 11 80264.
 2002 10 65273.
 2002 09 88288.
 2002 08 44262.
 2002 07 3263·
 2002 06 14283·
 2002 05 29286.
 2002 04 58309·
 2002 03 42308·
 2002 02 56285·
 2002 01 36288.
 2001 12  31273·
 2001 11  78276.
 2001 10  3274.
 2001 09  53279.
 2001 08  38254·
 2001 07  18288.
 2001 06  95288.
 2001 05  49299·
 2001 04  80307·
 2001 03  93310·
 2001 02  94289·
 2001 01  18258.
 2000 12 82290.
 2000 11 61295·
 2000 10 87298·
 2000 09 79316.
 2000 08 95307.
 2000 07 2271.
 2000 06 87289·
 2000 05 78313·
 2000 04 93281·
 2000 03 24333.
 2000 02 34320.
 2000 01 81275.
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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 Utilities: 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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