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 Series Title: Unemployment Level: Education and Health Services, Private Wage and Salary Workers: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 25353.
 2000 02 20349·
 2000 03 81381.
 2000 04 92329.
 2000 05 61423.
 2000 06 97452.
 2000 07 14478.
 2000 08 54450.
 2000 09 38398·
 2000 10 48339·
 2000 11 23351.
 2000 12 89293·
 2001 01  7428·
 2001 02  54423.
 2001 03  21456·
 2001 04  42341.
 2001 05  43390·
 2001 06  21476·
 2001 07  45513·
 2001 08  82595·
 2001 09  46455·
 2001 10  82486·
 2001 11  59516.
 2001 12  2483.
 2002 01 43586·
 2002 02 93590·
 2002 03 51540.
 2002 04 24493·
 2002 05 82533·
 2002 06 35638·
 2002 07 32671·
 2002 08 89660·
 2002 09 41562·
 2002 10 16517.
 2002 11 42493·
 2002 12 68558.
 2003 01  18559·
 2003 02  67576·
 2003 03  44518·
 2003 04  55611.
 2003 05  40618.
 2003 06  44769·
 2003 07  24697·
 2003 08  68760.
 2003 09  57649·
 2003 10  30639·
 2003 11  96662·
 2003 12  53620·
 2004 01 44662·
 2004 02 31608.
 2004 03 98584·
 2004 04 77589·
 2004 05 1570.
 2004 06 78769·
 2004 07 92725.
 2004 08 36647.
 2004 09 55593·
 2004 10 28526.
 2004 11 68570.
 2004 12 48562.
 2005 01  55613.
 2005 02  63619.
 2005 03  36614.
 2005 04  58591·
 2005 05  77648.
 2005 06  89667·
 2005 07  37635·
 2005 08  34644.
 2005 09  21658.
 2005 10  39628.
 2005 11  31677.
 2005 12  71529.
 2006 01 13593·
 2006 02 68528·
 2006 03 7563·
 2006 04 88558·
 2006 05 2543·
 2006 06 58617·
 2006 07 79659.
 2006 08 29611.
 2006 09 65576·
 2006 10 17531·
 2006 11 84536·
 2006 12 63502.
 2007 01  2563.
 2007 02  75489·
 2007 03  84495·
 2007 04  84555·
 2007 05  38622.
 2007 06  90653.
 2007 07  68665.
 2007 08  12648·
 2007 09  23630.
 2007 10  42534·
 2007 11  49526·
 2007 12  91521.
 2008 01 34576.
 2008 02 39562.
 2008 03 64609·
 2008 04 89551.
 2008 05 69619·
 2008 06 12669.
 2008 07 76776.
 2008 08 1844·
 2008 09 56835.
 2008 10 18797·
 2008 11 74748·
 2008 12 46791.
 2009 01  43792.
 2009 02  39847·
 2009 03  70931·
 2009 04  69964.
 2009 05  71005·
 2009 06  801267.
 2009 07  21269.
 2009 08  371239.
 2009 09  481257.
 2009 10  751280.
 2009 11  341168.
 2009 12  471183·
 2010 01 921175.
 2010 02 781200.
 2010 03 511101·
 2010 04 151051·
 2010 05 871150·
 2010 06 731339·
 2010 07 691420.
 2010 08 881430·
 2010 09 111352·
 2010 10 661263·
 2010 11 241298·
 2010 12 331139.
 2011 01  641264.
 2011 02  881198·
 2011 03  801152.
 2011 04  461088·
 2011 05  701242·
 2011 06  951228·
 2011 07  241263.
 2011 08  441371.
 2011 09  801241.
 2011 10  711221·
 2011 11  701132.
 2011 12  731201.
 2012 01 701214.
 2012 02 211197·
 2012 03 551172·
 2012 04 21058·
 2012 05 401172.
 2012 06 761368·
 2012 07 411436·
 2012 08 241369·
 2012 09 161204.
 2012 10 941244·
 2012 11 181176.
 2012 12 581177.
 2013 01  471205.
 2013 02  561176·
 2013 03  981111·
 2013 04  50983·
 2013 05  101058·
 2013 06  701243.
 2013 07  181283·
 2013 08  671211.
 2013 09  41174.
 2013 10  65946.
 2013 11  42890.
 2013 12  5897.
 2014 01 55906·
 2014 02 0893.
 2014 03 58900·
 2014 04 82826·
 2014 05 13876.
 2014 06 551001.
 2014 07 781051.
 2014 08 421068.
 2014 09 54896·
 2014 10 381011·
 2014 11 40924·
 2014 12 55868.
 2015 01  78898.
 2015 02  80794·
 2015 03  7742·
 2015 04  15723·
 2015 05  11806.
 2015 06  37953·
 2015 07  68978.
 2015 08  41934·
 2015 09  3802·
 2015 10  92791·
 2015 11  35734.
 2015 12  76725·
 2016 01 29751.
 2016 02 50692·
 2016 03 45788.
 2016 04 91632.
 2016 05 89679.
 2016 06 44839.
 2016 07 62889·
 2016 08 79956.
 2016 09 10860·
 2016 10 31795.
 2016 11 74716·
 2016 12 59667.
 2017 01  41623·
 2017 02  91752·
 2017 03  94666·
 2017 04  76612·


 2017 05  58675.
 2017 06  32746.
 2017 07  59830·
 2017 08  98880.
 2017 09  62804·
 2017 10  85677.
 2017 11  32596.
 2017 12  21706.
 2018 01 77641·
 2018 02 7598.
 2018 03 1619·
 2018 04 62555.
 2018 05 54563·
 2018 06 79768.
 2018 07 80767·
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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: Education and Health Services, Private Wage and Salary Workers: 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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