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 Series Title: Employed: Wage and salary workers, Social assistance, Men: NSA
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 2000 01 81341.
 2000 02 16320·
 2000 03 61324.
 2000 04 62390.
 2000 05 91340.
 2000 06 20345.
 2000 07 24361.
 2000 08 7344·
 2000 09 55322.
 2000 10 11319.
 2000 11 76337.
 2000 12 39343·
 2001 01  24327.
 2001 02  69290·
 2001 03  30335.
 2001 04  0351.
 2001 05  71372·
 2001 06  2382.
 2001 07  22407·
 2001 08  62345.
 2001 09  99374·
 2001 10  40366·
 2001 11  17354.
 2001 12  16363.
 2002 01 33394.
 2002 02 41360·
 2002 03 1392.
 2002 04 84346.
 2002 05 22353.
 2002 06 86362.
 2002 07 89395·
 2002 08 8402.
 2002 09 42441·
 2002 10 82438.
 2002 11 17356·
 2002 12 59326.
 2003 01  94352.
 2003 02  60399·
 2003 03  49445.
 2003 04  29427.
 2003 05  3405.
 2003 06  78366.
 2003 07  72390·
 2003 08  39376.
 2003 09  19367·
 2003 10  16351.
 2003 11  0332·
 2003 12  32322.
 2004 01 18370.
 2004 02 81408.
 2004 03 70417·
 2004 04 78456·
 2004 05 0433·
 2004 06 6407·
 2004 07 45388.
 2004 08 70393.
 2004 09 90336.
 2004 10 46345·
 2004 11 14308.
 2004 12 29328.
 2005 01  40344.
 2005 02  84370·
 2005 03  88404.
 2005 04  97401.
 2005 05  23419.
 2005 06  25398·
 2005 07  6397·
 2005 08  44433·
 2005 09  42379.
 2005 10  2360·
 2005 11  31357.
 2005 12  65335·
 2006 01 20363.
 2006 02 71349.
 2006 03 51383·
 2006 04 78417.
 2006 05 10420.
 2006 06 14444·
 2006 07 78464.
 2006 08 28459·
 2006 09 84445·
 2006 10 38458.
 2006 11 51461.
 2006 12 83381.
 2007 01  46366·
 2007 02  74433.
 2007 03  32432.
 2007 04  39488·
 2007 05  18508·
 2007 06  78471·
 2007 07  9472.
 2007 08  13433·
 2007 09  53459·
 2007 10  33460.
 2007 11  96427.
 2007 12  50399.
 2008 01 26377·
 2008 02 45398·
 2008 03 29393·
 2008 04 20418·
 2008 05 36375.
 2008 06 46399·
 2008 07 72415.
 2008 08 16411.
 2008 09 9439.
 2008 10 92500·
 2008 11 13514·
 2008 12 57496.
 2009 01  96501.
 2009 02  65444·
 2009 03  65430.
 2009 04  89423.
 2009 05  72416.
 2009 06  72466.
 2009 07  65507.
 2009 08  79471·
 2009 09  37453.
 2009 10  44431·
 2009 11  77411.
 2009 12  22402·
 2010 01 17443.
 2010 02 37433·
 2010 03 88442·
 2010 04 37475.
 2010 05 63472·
 2010 06 35442·
 2010 07 11485·
 2010 08 68490·
 2010 09 49507·
 2010 10 42536.
 2010 11 85524.
 2010 12 85478.
 2011 01  75450.
 2011 02  92477.
 2011 03  71475·
 2011 04  81506·
 2011 05  68488.
 2011 06  40459.
 2011 07  59474.
 2011 08  76472.
 2011 09  78443.
 2011 10  68472·
 2011 11  60427·
 2011 12  13458·
 2012 01 80474.
 2012 02 82500.


 2012 03 13453.
 2012 04 63473.
 2012 05 75465·
 2012 06 15412·
 2012 07 80448.
 2012 08 19439·
 2012 09 87494·
 2012 10 23542·
 2012 11 50528.
 2012 12 0490·
 2013 01  68450.
 2013 02  88474·
 2013 03  35523.
 2013 04  50421.
 2013 05  92416.
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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: Employed: Wage and salary workers, Social assistance, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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