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 Series Title: Unemployment Level: Nonagricultural Private Wage and Salary Workers, Machinery Manufacturing: NSA
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 2000 01 2026·
 2000 02 7733·
 2000 03 546·
 2000 04 9863.
 2000 05 7950.
 2000 06 6957·
 2000 07 9359.
 2000 08 548.
 2000 09 4237·
 2000 10 9644.
 2000 11 1951.
 2000 12 4845.
 2001 01  6049·
 2001 02  4144.
 2001 03  9662·
 2001 04  7244.
 2001 05  761·
 2001 06  1054·
 2001 07  6358·
 2001 08  4576.
 2001 09  8487·
 2001 10  3591·
 2001 11  8293·
 2001 12  6199·
 2002 01 16115.
 2002 02 7394.
 2002 03 41118·
 2002 04 4097·
 2002 05 5568.
 2002 06 5109·
 2002 07 5289·
 2002 08 2794.
 2002 09 7489·
 2002 10 3796·
 2002 11 55101.
 2002 12 8992.
 2003 01  7586.
 2003 02  264·
 2003 03  11105.
 2003 04  2189.
 2003 05  8365.
 2003 06  5680·
 2003 07  890.
 2003 08  42100·
 2003 09  49101·
 2003 10  8179.
 2003 11  6087.
 2003 12  9763·
 2004 01 4770·
 2004 02 8481·
 2004 03 5108.
 2004 04 5599.
 2004 05 7869.
 2004 06 9585·
 2004 07 456·
 2004 08 988·
 2004 09 6872·
 2004 10 7288.
 2004 11 4779·
 2004 12 7968·
 2005 01  6650.
 2005 02  9655·
 2005 03  4654.
 2005 04  955·
 2005 05  4941.
 2005 06  7445·
 2005 07  3846·
 2005 08  6849.
 2005 09  1743.
 2005 10  3849·
 2005 11  8769.
 2005 12  5168·
 2006 01 9545.
 2006 02 4434.
 2006 03 8128.
 2006 04 7637.
 2006 05 3331.
 2006 06 7453·
 2006 07 3341.
 2006 08 8758.
 2006 09 734.
 2006 10 3437.
 2006 11 8023.
 2006 12 5449·
 2007 01  1860·
 2007 02  5755.
 2007 03  8559·
 2007 04  7135·
 2007 05  9051·
 2007 06  9838·
 2007 07  3644.
 2007 08  5743·
 2007 09  7429.
 2007 10  3941·
 2007 11  4751.
 2007 12  5642.
 2008 01 4580.
 2008 02 8871·
 2008 03 5471.
 2008 04 3779.
 2008 05 563·
 2008 06 7660.
 2008 07 2276.
 2008 08 9575.
 2008 09 7778·
 2008 10 5870·
 2008 11 3783·
 2008 12 4891·
 2009 01  13131·
 2009 02  18114.
 2009 03  13140.
 2009 04  41159.
 2009 05  89151.
 2009 06  61154·
 2009 07  88161.
 2009 08  43146·
 2009 09  3171·
 2009 10  20183.
 2009 11  24168·
 2009 12  48140.
 2010 01 82139.
 2010 02 51149.
 2010 03 9138.
 2010 04 74128·
 2010 05 77118·
 2010 06 35127.
 2010 07 56130·
 2010 08 67121·
 2010 09 62115.
 2010 10 79112·
 2010 11 4114.
 2010 12 9694.
 2011 01  3886.
 2011 02  15105.
 2011 03  1581·
 2011 04  54108·
 2011 05  3086·
 2011 06  096·
 2011 07  7698.
 2011 08  6088·
 2011 09  8982·
 2011 10  1496·
 2011 11  2107.
 2011 12  6099.
 2012 01 9167·
 2012 02 6690·
 2012 03 2972·
 2012 04 2168.
 2012 05 3457·
 2012 06 8654·
 2012 07 2088.
 2012 08 39102·
 2012 09 46100.
 2012 10 3081·
 2012 11 6581.
 2012 12 3197·
 2013 01  76109·
 2013 02  8268·
 2013 03  7471.
 2013 04  4357·
 2013 05  9970.
 2013 06  4764.
 2013 07  8766·
 2013 08  4432.
 2013 09  1754.
 2013 10  5761.
 2013 11  6662·
 2013 12  2751.
 2014 01 5459·
 2014 02 6850.
 2014 03 9971.
 2014 04 1263·
 2014 05 6179.
 2014 06 6366·
 2014 07 9972.
 2014 08 4368.
 2014 09 1392.
 2014 10 4769.
 2014 11 334.
 2014 12 8958.
 2015 01  1169·
 2015 02  5348.
 2015 03  7648·
 2015 04  4457·
 2015 05  8038·
 2015 06  3732.
 2015 07  441·
 2015 08  2838·
 2015 09  7044·
 2015 10  8165.
 2015 11  055.
 2015 12  8448·
 2016 01 5758.
 2016 02 9244.
 2016 03 338.
 2016 04 8135.
 2016 05 4256·
 2016 06 046·
 2016 07 7544·
 2016 08 1566·
 2016 09 4954·
 2016 10 6351.
 2016 11 452.
 2016 12 346·
 2017 01  2855·
 2017 02  6357·
 2017 03  440.
 2017 04  9123·
 2017 05  5730.


 2017 06  519.
 2017 07  1123.
 2017 08  4635·
 2017 09  3439·
 2017 10  2236.
 2017 11  8936.
 2017 12  6445.
 2018 01 8538·
 2018 02 7136·
 2018 03 2620.
 2018 04 6317.
 2018 05 6121·
 2018 06 3234·
 2018 07 3429.
 2018 08 8829.
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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, Machinery 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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