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 Series Title: Unemployment Level: Nonagricultural Private Wage and Salary Workers, Miscellaneous Manufacturing: NSA
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 2000 01 1364·
 2000 02 6752.
 2000 03 9627.
 2000 04 243·
 2000 05 1350.
 2000 06 5743.
 2000 07 6542·
 2000 08 9830.
 2000 09 9841·
 2000 10 6441·
 2000 11 5440.
 2000 12 1143.
 2001 01  1959·
 2001 02  7067·
 2001 03  7556·
 2001 04  8760.
 2001 05  5085·
 2001 06  8187·
 2001 07  6754·
 2001 08  9281.
 2001 09  93102·
 2001 10  3088.
 2001 11  92102·
 2001 12  2385.
 2002 01 72114.
 2002 02 72105·
 2002 03 3899.
 2002 04 98102·
 2002 05 3984·
 2002 06 90100·
 2002 07 1984.
 2002 08 6091.
 2002 09 6876·
 2002 10 9062·
 2002 11 7195.
 2002 12 80100·
 2003 01  6096.
 2003 02  3118·
 2003 03  5984.
 2003 04  5280·
 2003 05  4076·
 2003 06  8793·
 2003 07  6972.
 2003 08  9478.
 2003 09  5880·
 2003 10  2375.
 2003 11  1558.
 2003 12  5068.
 2004 01 9168.
 2004 02 18101.
 2004 03 3486.
 2004 04 9178·
 2004 05 3881.
 2004 06 369.
 2004 07 9080·
 2004 08 977·
 2004 09 2571·
 2004 10 3441.
 2004 11 7048.
 2004 12 2484.
 2005 01  164·
 2005 02  9568·
 2005 03  8841·
 2005 04  8140·
 2005 05  4434·
 2005 06  9046·
 2005 07  8049·
 2005 08  4842·
 2005 09  5250.
 2005 10  5249·
 2005 11  1167·
 2005 12  2067.
 2006 01 5254.
 2006 02 3870.
 2006 03 6761.
 2006 04 1550.
 2006 05 9439.
 2006 06 2931·
 2006 07 6364·
 2006 08 7861.
 2006 09 5250.
 2006 10 3232·
 2006 11 3566.
 2006 12 7852·
 2007 01  2887·
 2007 02  7872·
 2007 03  4646·
 2007 04  971.
 2007 05  4762·
 2007 06  2463·
 2007 07  8552.
 2007 08  9148·
 2007 09  6064·
 2007 10  5142.
 2007 11  6551·
 2007 12  6682·
 2008 01 4152.
 2008 02 6764.
 2008 03 2277.
 2008 04 656·
 2008 05 9165.
 2008 06 385.
 2008 07 21106.
 2008 08 2107.
 2008 09 35106·
 2008 10 1675.
 2008 11 4988·
 2008 12 76128·
 2009 01  25138.
 2009 02  87148·
 2009 03  19121.
 2009 04  71124·
 2009 05  34156.
 2009 06  22135.
 2009 07  69145.
 2009 08  55119.
 2009 09  65108.
 2009 10  54167.
 2009 11  61179·
 2009 12  24191.
 2010 01 41176.
 2010 02 40135.
 2010 03 84111·
 2010 04 96123.
 2010 05 14114·
 2010 06 60107·
 2010 07 50112.
 2010 08 16102.
 2010 09 58114·
 2010 10 21139.
 2010 11 98178.
 2010 12 52170·
 2011 01  75177·
 2011 02  56152·
 2011 03  90156·
 2011 04  0124·
 2011 05  89153.
 2011 06  20157·
 2011 07  14113.
 2011 08  77119.
 2011 09  51104.
 2011 10  96105·
 2011 11  8392·
 2011 12  2869.
 2012 01 37102·
 2012 02 90152·
 2012 03 35129·
 2012 04 22110.
 2012 05 47118·
 2012 06 33127.
 2012 07 34108·
 2012 08 53114.
 2012 09 593.
 2012 10 8395·
 2012 11 6596.
 2012 12 42129·
 2013 01  63112·
 2013 02  20108·
 2013 03  4489.
 2013 04  3095.
 2013 05  96106·
 2013 06  5390·
 2013 07  685.
 2013 08  8996·
 2013 09  592.
 2013 10  1185.
 2013 11  1789.
 2013 12  1170.
 2014 01 1476·
 2014 02 5268·
 2014 03 6285.
 2014 04 1679·
 2014 05 7481·
 2014 06 5892·
 2014 07 5682·
 2014 08 4993·
 2014 09 6171·
 2014 10 3486.
 2014 11 36101.
 2014 12 7899·
 2015 01  74118·
 2015 02  1496·
 2015 03  64112·
 2015 04  9764.
 2015 05  4054.
 2015 06  5348·
 2015 07  3085.
 2015 08  2674·
 2015 09  968.
 2015 10  3358.
 2015 11  4563·
 2015 12  943·
 2016 01 5569.
 2016 02 6182·
 2016 03 4860·
 2016 04 1457.
 2016 05 8083·
 2016 06 6858·
 2016 07 286·
 2016 08 3760.
 2016 09 956·
 2016 10 1164.
 2016 11 9443·
 2016 12 9658·
 2017 01  92104·
 2017 02  71127·
 2017 03  3782.
 2017 04  3589·
 2017 05  571.
 2017 06  5674·
 2017 07  6980·
 2017 08  2362.


 2017 09  4844·
 2017 10  9745.
 2017 11  5441·
 2017 12  5570·
 2018 01 4664.
 2018 02 5063·
 2018 03 7841.
 2018 04 5057.
 2018 05 5038·
 2018 06 9749·
 2018 07 5566.
 2018 08 5240·
 2018 09 3542.
 2018 10 4649·
 2018 11 2348.
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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, Miscellaneous 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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