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 Series Title: Unemployment Level: Nonagricultural Private Wage and Salary Workers, Food Manufacturing: NSA
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 2000 01 7496·
 2000 02 38105.
 2000 03 82143.
 2000 04 8395.
 2000 05 4383.
 2000 06 6572·
 2000 07 5777·
 2000 08 5389·
 2000 09 7159.
 2000 10 8563.
 2000 11 2773.
 2000 12 1775.
 2001 01  10101·
 2001 02  7891·
 2001 03  488·
 2001 04  1657·
 2001 05  3561.
 2001 06  5191.
 2001 07  2799.
 2001 08  2288·
 2001 09  4684.
 2001 10  3794.
 2001 11  5875.
 2001 12  2789·
 2002 01 69116·
 2002 02 92130.
 2002 03 85126·
 2002 04 51114·
 2002 05 5490·
 2002 06 9686·
 2002 07 2196·
 2002 08 3997.
 2002 09 7696·
 2002 10 58120.
 2002 11 5115.
 2002 12 58111.
 2003 01  37117·
 2003 02  9105.
 2003 03  98127.
 2003 04  498·
 2003 05  60106.
 2003 06  5119.
 2003 07  8995.
 2003 08  9699·
 2003 09  9794·
 2003 10  2892·
 2003 11  9198.
 2003 12  77120.
 2004 01 23135·
 2004 02 85134.
 2004 03 41129·
 2004 04 17109.
 2004 05 3893·
 2004 06 7100·
 2004 07 3115.
 2004 08 10111·
 2004 09 68122.
 2004 10 5188.
 2004 11 6492.
 2004 12 7587·
 2005 01  64103·
 2005 02  98111·
 2005 03  37105·
 2005 04  56110·
 2005 05  9991·
 2005 06  5678·
 2005 07  6168·
 2005 08  2365·
 2005 09  7690·
 2005 10  55123·
 2005 11  97105·
 2005 12  6997·
 2006 01 1989·
 2006 02 53101·
 2006 03 3483·
 2006 04 1492·
 2006 05 7973.
 2006 06 3163.
 2006 07 8691·
 2006 08 286·
 2006 09 3177·
 2006 10 9676·
 2006 11 8891·
 2006 12 158·
 2007 01  7691.
 2007 02  7964·
 2007 03  680·
 2007 04  784·
 2007 05  3866·
 2007 06  3777·
 2007 07  2644.
 2007 08  3847.
 2007 09  6967·
 2007 10  5283.
 2007 11  6186.
 2007 12  3899.
 2008 01 43133·
 2008 02 3084.
 2008 03 5086.
 2008 04 77104.
 2008 05 61101.
 2008 06 3112·
 2008 07 54106·
 2008 08 4997.
 2008 09 4980·
 2008 10 27128.
 2008 11 63116.
 2008 12 72136.
 2009 01  57127·
 2009 02  85147·
 2009 03  89148.
 2009 04  91185·
 2009 05  60164.
 2009 06  83157·
 2009 07  69134.
 2009 08  75132·
 2009 09  59148·
 2009 10  52131.
 2009 11  67153.
 2009 12  19103.
 2010 01 78136.
 2010 02 50147·
 2010 03 71198.
 2010 04 41157.
 2010 05 69158.
 2010 06 57153.
 2010 07 93144·
 2010 08 85128.
 2010 09 7132·
 2010 10 81121·
 2010 11 72170·
 2010 12 21211.
 2011 01  92196·
 2011 02  52144·
 2011 03  70164·
 2011 04  43163·
 2011 05  50169.
 2011 06  29128·
 2011 07  75137.
 2011 08  69169·
 2011 09  31142·
 2011 10  92110·
 2011 11  0144.
 2011 12  45155·
 2012 01 10188.
 2012 02 48179·
 2012 03 83229·
 2012 04 39186.
 2012 05 88191·
 2012 06 28130·
 2012 07 87153·
 2012 08 45186·
 2012 09 89101·
 2012 10 90153.
 2012 11 99111.
 2012 12 83138.
 2013 01  66204.
 2013 02  14171.
 2013 03  34157.
 2013 04  96147.
 2013 05  92157·
 2013 06  9155.
 2013 07  27196·
 2013 08  54177·
 2013 09  69196.
 2013 10  4141.
 2013 11  43126·
 2013 12  51108·
 2014 01 22148·
 2014 02 57148.
 2014 03 70118.
 2014 04 6149.
 2014 05 0138.
 2014 06 50132.
 2014 07 19137·
 2014 08 63131.
 2014 09 80110.
 2014 10 89112.
 2014 11 3094·
 2014 12 9272·
 2015 01  62144·
 2015 02  6136·
 2015 03  65102·
 2015 04  8696·
 2015 05  71126·
 2015 06  57104·
 2015 07  11123·
 2015 08  6472.
 2015 09  5886·
 2015 10  2489·
 2015 11  8276·
 2015 12  7179.
 2016 01 98119·
 2016 02 14130.
 2016 03 1695.
 2016 04 77127.
 2016 05 91111.
 2016 06 5863.
 2016 07 7571.
 2016 08 7481.
 2016 09 64101.
 2016 10 1394.
 2016 11 4896·
 2016 12 82106·
 2017 01  65104·
 2017 02  6087·
 2017 03  47109·
 2017 04  46100·
 2017 05  7173·
 2017 06  781·
 2017 07  10119.
 2017 08  34105·


 2017 09  8271.
 2017 10  8581.
 2017 11  178.
 2017 12  4181·
 2018 01 2488·
 2018 02 5190.
 2018 03 682·
 2018 04 8591.
 2018 05 46103.
 2018 06 8584.
 2018 07 39141.
 2018 08 11109·
 2018 09 2492·
 2018 10 9577·
 2018 11 3865.
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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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