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 Series Title: Employed: Nondurable goods manufacturing, Asian: NSA
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 2000 01 5295·
 2000 02 22311·
 2000 03 75299·
 2000 04 9294.
 2000 05 96291.
 2000 06 8348·
 2000 07 20372.
 2000 08 36311·
 2000 09 41307.
 2000 10 80306.
 2000 11 53308.
 2000 12 48297.
 2001 01  91310·
 2001 02  19290·
 2001 03  87277·
 2001 04  91275.
 2001 05  20288.
 2001 06  33323.
 2001 07  61365.
 2001 08  34323·
 2001 09  29320.
 2001 10  53338·
 2001 11  37394·
 2001 12  70363·
 2002 01 44332·
 2002 02 35314·
 2002 03 3271·
 2002 04 18287·
 2002 05 14284·
 2002 06 61374·
 2002 07 72342.
 2002 08 24385·
 2002 09 15374.
 2002 10 38306.
 2002 11 81321·
 2002 12 56288.
 2003 01  49285.
 2003 02  98289·
 2003 03  94295.
 2003 04  7316·
 2003 05  39301·
 2003 06  96309·
 2003 07  99308.
 2003 08  98337.
 2003 09  36334·
 2003 10  16288·
 2003 11  8284·
 2003 12  73257·
 2004 01 16258.
 2004 02 63309·
 2004 03 59332·
 2004 04 0278·
 2004 05 79281·
 2004 06 69272.
 2004 07 16272·
 2004 08 74272.
 2004 09 51274.
 2004 10 90294.
 2004 11 65252·
 2004 12 13291.
 2005 01  82262·
 2005 02  9226.
 2005 03  21234·
 2005 04  63211.
 2005 05  47207·
 2005 06  31264.
 2005 07  20233.
 2005 08  91249·
 2005 09  47234·
 2005 10  90269.
 2005 11  27263.
 2005 12  93253·
 2006 01 7234.
 2006 02 40211·
 2006 03 28276.
 2006 04 88243·
 2006 05 77285·
 2006 06 65291·
 2006 07 36238·
 2006 08 19234.
 2006 09 33237.
 2006 10 69253·
 2006 11 90215·
 2006 12 55226·
 2007 01  75297.
 2007 02  86259.
 2007 03  52281·
 2007 04  92279.
 2007 05  30249.
 2007 06  72283·
 2007 07  11303·
 2007 08  47289·
 2007 09  46326·
 2007 10  8283.
 2007 11  78281·
 2007 12  66313·
 2008 01 99259·
 2008 02 2313·
 2008 03 93318·
 2008 04 17274·
 2008 05 91319.
 2008 06 84354·
 2008 07 18356.
 2008 08 94331.
 2008 09 45289.
 2008 10 11287.
 2008 11 40247·
 2008 12 17214·
 2009 01  13222.
 2009 02  65217.
 2009 03  73242.
 2009 04  29276.
 2009 05  71279.
 2009 06  53344.
 2009 07  54313·
 2009 08  0315·
 2009 09  17316.
 2009 10  6239.
 2009 11  47214.
 2009 12  25190·
 2010 01 78182.
 2010 02 81222.
 2010 03 40248·
 2010 04 21275.
 2010 05 5288.
 2010 06 60237.
 2010 07 44242·
 2010 08 34279·
 2010 09 72298.
 2010 10 49336·
 2010 11 99327.
 2010 12 32289.
 2011 01  80283.
 2011 02  79294·
 2011 03  67275.
 2011 04  9253·
 2011 05  55259·
 2011 06  8215.
 2011 07  35249·
 2011 08  85252·
 2011 09  46310·
 2011 10  18323·
 2011 11  18298.
 2011 12  4300·
 2012 01 29279·
 2012 02 14269.
 2012 03 52271·
 2012 04 35325·
 2012 05 5331.
 2012 06 28321·
 2012 07 0327·
 2012 08 72290.
 2012 09 98280.
 2012 10 17285·
 2012 11 52289·
 2012 12 34314.
 2013 01  60281·
 2013 02  63326·
 2013 03  18311·
 2013 04  66312·
 2013 05  66375.
 2013 06  73387.
 2013 07  38371.
 2013 08  36373.
 2013 09  15372·
 2013 10  77303.
 2013 11  74338·
 2013 12  39320·
 2014 01 35309·
 2014 02 33302.
 2014 03 14331·
 2014 04 93345·
 2014 05 74339.
 2014 06 22346.
 2014 07 71349.
 2014 08 44387.
 2014 09 8405.
 2014 10 51389·
 2014 11 82282.
 2014 12 59295·
 2015 01  38328·
 2015 02  52351·
 2015 03  12364.
 2015 04  34332·
 2015 05  89338.
 2015 06  80333·
 2015 07  47294.
 2015 08  87328·
 2015 09  11341·
 2015 10  19342.
 2015 11  0344·
 2015 12  62381.
 2016 01 80375·
 2016 02 74354.
 2016 03 10335·
 2016 04 30332.
 2016 05 96302·
 2016 06 77289·
 2016 07 39312·
 2016 08 83333.
 2016 09 85412.
 2016 10 84425.
 2016 11 76398.
 2016 12 40363.
 2017 01  97318·
 2017 02  79396·
 2017 03  32352·
 2017 04  47374·
 2017 05  7391·


 2017 06  66392.
 2017 07  46344·
 2017 08  72405.
 2017 09  17370·
 2017 10  77370·
 2017 11  81336.
 2017 12  10398.
 2018 01 50370.
 2018 02 70336.
 2018 03 25306.
 2018 04 79323.
 2018 05 57357.
 2018 06 26387·
 2018 07 91316.
 2018 08 23394·
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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: Employed: Nondurable goods manufacturing, Asian: 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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