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 Series Title: Unemployment Level: Nonagricultural Private Wage and Salary Workers, Food Manufacturing: NSA
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 2000 01 4296.
 2000 02 34105.
 2000 03 28143·
 2000 04 1495.
 2000 05 783·
 2000 06 2472·
 2000 07 8177.
 2000 08 2989·
 2000 09 9659.
 2000 10 6863·
 2000 11 9273·
 2000 12 9975.
 2001 01  57101·
 2001 02  4991·
 2001 03  7288.
 2001 04  6757.
 2001 05  6661·
 2001 06  7391·
 2001 07  6199·
 2001 08  488.
 2001 09  2484.
 2001 10  7194·
 2001 11  2075.
 2001 12  389·
 2002 01 57116.
 2002 02 1130.
 2002 03 38126.
 2002 04 84114·
 2002 05 1490.
 2002 06 4386·
 2002 07 2896·
 2002 08 9097.
 2002 09 7196.
 2002 10 6120.
 2002 11 27115·
 2002 12 91111.
 2003 01  28117.
 2003 02  19105.
 2003 03  99127·
 2003 04  8198.
 2003 05  11106·
 2003 06  40119.
 2003 07  3195·
 2003 08  7999.
 2003 09  7094.
 2003 10  5192·
 2003 11  3698.
 2003 12  29120·
 2004 01 80135·
 2004 02 58134·
 2004 03 52129.
 2004 04 1109.
 2004 05 4393.
 2004 06 92100.
 2004 07 42115.
 2004 08 88111·
 2004 09 82122.
 2004 10 1188.
 2004 11 9492·
 2004 12 987.
 2005 01  50103·
 2005 02  96111.
 2005 03  20105.
 2005 04  9110·
 2005 05  2091·
 2005 06  5478·
 2005 07  6068.
 2005 08  5865·
 2005 09  9490·
 2005 10  16123·
 2005 11  74105.
 2005 12  4897.
 2006 01 9789·
 2006 02 39101.
 2006 03 5383·
 2006 04 9992·
 2006 05 7973.
 2006 06 563.
 2006 07 791·
 2006 08 5686·
 2006 09 1577.
 2006 10 2076·
 2006 11 7691.
 2006 12 8758.
 2007 01  791.
 2007 02  1664·
 2007 03  2180.
 2007 04  8684.
 2007 05  7966.
 2007 06  4977·
 2007 07  3244.
 2007 08  7447.
 2007 09  8167.
 2007 10  283·
 2007 11  2186·
 2007 12  9399·
 2008 01 90133·
 2008 02 8084.
 2008 03 2586·
 2008 04 13104.
 2008 05 6101·
 2008 06 16112·
 2008 07 8106·
 2008 08 2997.
 2008 09 5380.
 2008 10 65128·
 2008 11 58116.
 2008 12 58136·
 2009 01  83127·
 2009 02  11147.
 2009 03  87148.
 2009 04  47185·
 2009 05  71164.
 2009 06  59157.
 2009 07  33134.
 2009 08  62132·
 2009 09  16148.
 2009 10  41131.
 2009 11  59153.
 2009 12  0103·
 2010 01 46136·
 2010 02 14147.
 2010 03 54198.
 2010 04 78157·
 2010 05 9158.
 2010 06 59153.
 2010 07 30144.
 2010 08 41128.
 2010 09 81132·
 2010 10 82121.
 2010 11 24170·
 2010 12 59211.
 2011 01  63196·
 2011 02  17144.
 2011 03  0164.
 2011 04  24163.
 2011 05  81169.
 2011 06  18128.
 2011 07  46137.
 2011 08  57169.
 2011 09  83142.
 2011 10  69110.
 2011 11  75144·
 2011 12  2155.
 2012 01 47188.
 2012 02 75179·
 2012 03 23229.
 2012 04 27186·
 2012 05 72191·
 2012 06 68130·
 2012 07 56153.
 2012 08 27186·
 2012 09 83101·
 2012 10 5153·
 2012 11 59111.
 2012 12 22138·
 2013 01  32204·
 2013 02  67171.
 2013 03  47157.
 2013 04  54147·
 2013 05  93157.
 2013 06  62155·
 2013 07  56196·
 2013 08  93177·
 2013 09  67196·
 2013 10  20141·
 2013 11  50126·
 2013 12  34108·
 2014 01 79148.
 2014 02 99148.
 2014 03 18118.
 2014 04 96149.
 2014 05 79138.
 2014 06 79132·
 2014 07 71137·
 2014 08 22131.
 2014 09 44110·
 2014 10 68112·
 2014 11 4794·
 2014 12 8272·
 2015 01  73144·
 2015 02  97136.
 2015 03  10102.
 2015 04  7096.
 2015 05  92126.
 2015 06  24104.
 2015 07  47123·
 2015 08  572.
 2015 09  5186·
 2015 10  2889.
 2015 11  7276·
 2015 12  3179·
 2016 01 25119.
 2016 02 18130·
 2016 03 2195·
 2016 04 18127·
 2016 05 16111·
 2016 06 2563·
 2016 07 5971.
 2016 08 5981.
 2016 09 47101·
 2016 10 594.
 2016 11 7296·
 2016 12 73106·
 2017 01  71104.
 2017 02  4187·


 2017 03  75109.
 2017 04  6100·
 2017 05  6273·
 2017 06  3881·
 2017 07  4119.
 2017 08  26105.
 2017 09  2071·
 2017 10  2981·
 2017 11  2278·
 2017 12  2681·
 2018 01 7188·
 2018 02 6990.
 2018 03 1982.
 2018 04 2791·
 2018 05 65103.
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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 Level: Nonagricultural Private Wage and Salary Workers, Food Manufacturing: 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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