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 Series Title: Unemployment Level: Nonagricultural Private Wage and Salary Workers, Miscellaneous Manufacturing: NSA
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 2000 01 2364·
 2000 02 3252·
 2000 03 6827·
 2000 04 2643·
 2000 05 2750·
 2000 06 9443.
 2000 07 5142.
 2000 08 5330.
 2000 09 3641·
 2000 10 9241.
 2000 11 7340.
 2000 12 1743·
 2001 01  9959.
 2001 02  767.
 2001 03  4656·
 2001 04  6160·
 2001 05  9185.
 2001 06  4787·
 2001 07  854·
 2001 08  5481·
 2001 09  14102·
 2001 10  4288·
 2001 11  22102·
 2001 12  9185·
 2002 01 91114·
 2002 02 50105·
 2002 03 7699·
 2002 04 90102.
 2002 05 7584.
 2002 06 52100·
 2002 07 8384·
 2002 08 9691·
 2002 09 4076·
 2002 10 5562·
 2002 11 8195.
 2002 12 79100·
 2003 01  8696·
 2003 02  90118·
 2003 03  3284.
 2003 04  3180.
 2003 05  3976.
 2003 06  1593.
 2003 07  2572.
 2003 08  7378.
 2003 09  5080.
 2003 10  1075·
 2003 11  7258.
 2003 12  4868.
 2004 01 9468.
 2004 02 82101·
 2004 03 1286.
 2004 04 2678.
 2004 05 7081·
 2004 06 6469.
 2004 07 780·
 2004 08 177·
 2004 09 571·
 2004 10 1141·
 2004 11 4548·
 2004 12 9184·
 2005 01  4964.
 2005 02  668.
 2005 03  3941.
 2005 04  4140.
 2005 05  7734.
 2005 06  5446.
 2005 07  2649·
 2005 08  2142.
 2005 09  9150·
 2005 10  8849·
 2005 11  7167·
 2005 12  2467·
 2006 01 1454.
 2006 02 6570·
 2006 03 6061.
 2006 04 6950·
 2006 05 9739·
 2006 06 6531.
 2006 07 764.
 2006 08 161·
 2006 09 1750.
 2006 10 9532.
 2006 11 4966.
 2006 12 8852·
 2007 01  7287.
 2007 02  8872.
 2007 03  5046.
 2007 04  2571·
 2007 05  9062.
 2007 06  063·
 2007 07  9652.
 2007 08  3248.
 2007 09  1964·
 2007 10  1242.
 2007 11  251·
 2007 12  5182.
 2008 01 3652.
 2008 02 3164·
 2008 03 577·
 2008 04 5356.
 2008 05 4165.
 2008 06 8885.
 2008 07 68106·
 2008 08 31107.
 2008 09 59106.
 2008 10 4275.
 2008 11 7988.
 2008 12 4128.
 2009 01  40138.
 2009 02  72148·
 2009 03  50121·
 2009 04  17124.
 2009 05  60156.
 2009 06  85135.
 2009 07  20145·
 2009 08  39119·
 2009 09  20108·
 2009 10  14167.
 2009 11  51179.
 2009 12  64191·
 2010 01 45176.
 2010 02 15135.
 2010 03 32111·
 2010 04 12123.
 2010 05 85114·
 2010 06 69107·
 2010 07 74112.
 2010 08 25102·
 2010 09 15114.
 2010 10 84139.
 2010 11 17178·
 2010 12 74170.
 2011 01  36177·
 2011 02  90152.
 2011 03  23156.
 2011 04  52124.
 2011 05  74153.
 2011 06  45157·
 2011 07  80113·
 2011 08  79119.
 2011 09  78104.
 2011 10  30105·
 2011 11  192·
 2011 12  9969.
 2012 01 25102.
 2012 02 52152.
 2012 03 23129.
 2012 04 80110.
 2012 05 14118·
 2012 06 42127.
 2012 07 10108·
 2012 08 18114.
 2012 09 7193·
 2012 10 5795·
 2012 11 5096·
 2012 12 31129·
 2013 01  46112·
 2013 02  79108.
 2013 03  5589·
 2013 04  6395·
 2013 05  15106·
 2013 06  1490·
 2013 07  6385.
 2013 08  8496.
 2013 09  7892.
 2013 10  9485.
 2013 11  3789.
 2013 12  8870·
 2014 01 6076.
 2014 02 7668.
 2014 03 6585·
 2014 04 9379·
 2014 05 1381·
 2014 06 4192.
 2014 07 6082·
 2014 08 4493.
 2014 09 1071·
 2014 10 9686·
 2014 11 60101·
 2014 12 1099·
 2015 01  53118·
 2015 02  7296·
 2015 03  28112·
 2015 04  8664·
 2015 05  6854.
 2015 06  2748.
 2015 07  5185·
 2015 08  9074·
 2015 09  368·
 2015 10  4158.
 2015 11  4363·
 2015 12  6643·
 2016 01 3669·
 2016 02 2282·
 2016 03 4160·
 2016 04 8457·
 2016 05 6583·
 2016 06 058·
 2016 07 986.
 2016 08 3860.
 2016 09 1756.
 2016 10 3464.
 2016 11 3343·
 2016 12 4758·
 2017 01  43104·
 2017 02  4127.


 2017 03  2882·
 2017 04  5489·
 2017 05  1671·
 2017 06  1774·
 2017 07  3080·
 2017 08  3062.
 2017 09  3844·
 2017 10  445·
 2017 11  441·
 2017 12  6870·
 2018 01 3564·
 2018 02 2363·
 2018 03 3641.
 2018 04 8857.
 2018 05 5638·
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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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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