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 Series Title: Unemployment Rate: Nonagricultural Private Wage and Salary Workers, Beverage and Tobacco Products, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 592·6
 2000 02 81·2
 2000 03 521·1
 2000 04 231·5
 2000 05 801.8
 2000 06 833.2
 2000 07 951·5
 2000 09 71·5
 2000 10 926·9
 2000 11 813.9
 2000 12 647·6
 2001 01  156.1
 2001 02  464.9
 2001 03  854·9
 2001 04  726·3
 2001 05  903·7
 2001 06  172.8
 2001 07  07·0
 2001 08  564·4
 2001 10  35.8
 2001 11  64.0
 2001 12  582·7
 2002 01 805·0
 2002 02 463.0
 2002 03 372·4
 2002 04 170·3
 2002 05 322.1
 2002 08 401.5
 2002 09 625·4
 2002 10 570·5
 2002 11 243.7
 2002 12 283·2
 2003 02  560·7
 2003 03  852.5
 2003 04  945.2
 2003 05  801·6
 2003 06  186.6
 2003 07  349.5
 2003 08  57·9
 2003 09  893·5
 2003 11  753.1
 2003 12  594·0
 2004 01 459.3
 2004 02 765·2
 2004 03 774.1
 2004 04 429·2
 2004 05 288.3
 2004 06 837·7
 2004 07 993·4
 2004 08 906.5
 2004 09 903·3
 2004 10 802.0
 2004 11 427·3
 2004 12 355.5
 2005 01  951.8
 2005 02  613.4
 2005 03  318.3
 2005 04  335·1
 2005 05  301.4
 2005 06  462·3
 2005 08  161.0
 2005 09  663.2
 2005 10  91·7
 2005 11  783·8
 2005 12  735.4
 2006 01 404.0
 2006 02 692.8
 2006 03 273·6
 2006 04 25·5
 2006 05 876.2
 2006 06 747·8
 2006 07 869.7
 2006 08 293·8
 2006 09 640·3
 2006 10 100.6
 2006 11 763.4
 2006 12 42.9
 2007 01  522.7
 2007 02  924·7
 2007 03  406.4
 2007 04  23.3
 2007 05  583.4
 2007 06  575.3
 2007 07  463·6
 2007 08  240.8
 2007 09  141.7
 2007 10  672·8
 2007 11  905.9
 2007 12  955.4
 2008 01 768.4
 2008 02 126.0
 2008 03 916.4
 2008 04 662.6
 2008 05 2610·8
 2008 06 27.5
 2008 07 927.3
 2008 08 114·0
 2008 09 713·3
 2008 10 789·1
 2008 11 638·3
 2008 12 323.2
 2009 01  419·9
 2009 02  06·7
 2009 03  984·8
 2009 04  547·7
 2009 05  954·0
 2009 06  592.3
 2009 07  161·8
 2009 08  265·9
 2009 09  1310·1
 2009 10  658·2
 2009 11  6110.1
 2009 12  2610.6
 2010 01 312·0
 2010 02 5710·1
 2010 03 29.4
 2010 04 5210.5
 2010 05 9511·1
 2010 06 984.1
 2010 07 342·5
 2010 08 304.3
 2010 09 465.9
 2010 10 768·2
 2010 11 768.8
 2010 12 116·3
 2011 01  3910·7
 2011 02  411.4
 2011 03  718·7
 2011 04  708·2
 2011 05  799.4
 2011 06  206·0
 2011 07  894·9
 2011 08  86.0
 2011 09  986.8
 2011 10  854·2
 2011 11  243·8
 2011 12  492.5
 2012 01 545·0


 2012 02 908.7
 2012 03 9512·9
 2012 04 4512·1
 2012 05 276·0
 2012 06 462.4
 2012 07 473.5
 2012 08 705·4
 2012 09 245.7
 2012 10 905.6
 2012 11 483.2
 2012 12 253.5
 2013 01  775.3
 2013 02  872·8
 2013 03  924·3
 2013 04  3611.0
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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: Unemployment Rate: Nonagricultural Private Wage and Salary Workers, Beverage and Tobacco Products, Men: 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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