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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 23353·
 2000 02 84349.
 2000 03 42381.
 2000 04 77329.
 2000 05 90423·
 2000 06 84452.
 2000 07 66478.
 2000 08 71450.
 2000 09 17398·
 2000 10 77339.
 2000 11 84351·
 2000 12 58293·
 2001 01  54428·
 2001 02  43423.
 2001 03  10456·
 2001 04  81341·
 2001 05  78390·
 2001 06  90476.
 2001 07  81513.
 2001 08  10595.
 2001 09  87455·
 2001 10  49486.
 2001 11  60516.
 2001 12  39483.
 2002 01 9586·
 2002 02 77590·
 2002 03 36540·
 2002 04 86493·
 2002 05 92533.
 2002 06 56638.
 2002 07 21671.
 2002 08 97660.
 2002 09 13562.
 2002 10 91517·
 2002 11 53493·
 2002 12 40558·
 2003 01  71559.
 2003 02  15576.
 2003 03  94518·
 2003 04  9611·
 2003 05  93618.
 2003 06  85769.
 2003 07  34697·
 2003 08  24760·
 2003 09  28649.
 2003 10  81639.
 2003 11  84662.
 2003 12  29620.
 2004 01 53662·
 2004 02 11608·
 2004 03 83584.
 2004 04 92589.
 2004 05 67570·
 2004 06 7769.
 2004 07 93725·
 2004 08 9647·
 2004 09 95593·
 2004 10 24526.
 2004 11 2570·
 2004 12 97562.
 2005 01  89613·
 2005 02  45619.
 2005 03  24614.
 2005 04  2591.
 2005 05  23648·
 2005 06  76667.
 2005 07  96635.
 2005 08  92644.
 2005 09  98658.
 2005 10  49628.
 2005 11  81677·
 2005 12  62529.
 2006 01 40593·
 2006 02 20528.
 2006 03 67563·
 2006 04 30558.
 2006 05 98543·
 2006 06 71617·
 2006 07 66659.
 2006 08 41611.
 2006 09 49576.
 2006 10 9531.
 2006 11 18536.
 2006 12 64502.
 2007 01  91563.
 2007 02  66489·
 2007 03  83495·
 2007 04  94555.
 2007 05  52622·
 2007 06  98653.
 2007 07  52665.
 2007 08  48648·
 2007 09  81630.
 2007 10  86534.
 2007 11  36526.
 2007 12  72521.
 2008 01 54576·
 2008 02 37562·
 2008 03 73609.
 2008 04 34551.
 2008 05 71619.
 2008 06 84669·
 2008 07 26776.
 2008 08 29844.
 2008 09 57835.
 2008 10 82797.
 2008 11 83748·
 2008 12 76791.
 2009 01  64792·
 2009 02  13847.
 2009 03  57931·
 2009 04  18964.
 2009 05  651005.
 2009 06  841267·
 2009 07  861269.
 2009 08  261239.
 2009 09  621257.
 2009 10  271280·
 2009 11  321168.
 2009 12  931183·
 2010 01 801175·
 2010 02 981200.
 2010 03 851101·
 2010 04 381051.
 2010 05 701150.
 2010 06 791339.
 2010 07 551420.
 2010 08 61430·
 2010 09 61352.
 2010 10 761263.
 2010 11 821298.
 2010 12 651139·
 2011 01  901264.
 2011 02  211198·
 2011 03  291152.
 2011 04  101088.
 2011 05  461242.
 2011 06  711228.
 2011 07  821263.
 2011 08  601371·
 2011 09  251241.
 2011 10  71221·
 2011 11  561132.
 2011 12  601201·
 2012 01 21214·
 2012 02 361197.
 2012 03 871172·
 2012 04 771058.
 2012 05 781172·
 2012 06 901368.
 2012 07 391436.
 2012 08 71369·
 2012 09 791204·
 2012 10 261244.
 2012 11 01176·
 2012 12 681177.
 2013 01  541205·
 2013 02  241176·
 2013 03  831111·
 2013 04  4983.
 2013 05  791058·
 2013 06  911243.
 2013 07  251283·
 2013 08  861211·
 2013 09  541174·
 2013 10  60946·
 2013 11  90890·
 2013 12  6897·
 2014 01 5906.
 2014 02 87893·
 2014 03 65900.
 2014 04 85826.
 2014 05 82876.
 2014 06 531001.
 2014 07 631051.
 2014 08 651068·
 2014 09 60896·
 2014 10 651011.
 2014 11 22924·
 2014 12 17868.
 2015 01  40898·
 2015 02  55794·
 2015 03  5742.
 2015 04  35723·
 2015 05  48806·
 2015 06  80953.
 2015 07  0978·
 2015 08  37934·
 2015 09  33802.
 2015 10  21791·
 2015 11  19734·
 2015 12  67725.
 2016 01 72751.
 2016 02 84692·
 2016 03 1788.
 2016 04 96632·
 2016 05 64679.
 2016 06 1839.
 2016 07 9889·
 2016 08 17956.
 2016 09 34860.
 2016 10 30795.
 2016 11 30716.
 2016 12 48667·
 2017 01  34623.
 2017 02  51752.
 2017 03  78666·
 2017 04  36612·
 2017 05  39675·
 2017 06  71746·
 2017 07  89830.
 2017 08  47880.
 2017 09  48804.


 2017 10  23677·
 2017 11  28596.
 2017 12  77706·
 2018 01 88641.
 2018 02 61598.
 2018 03 82619.
 2018 04 45555·
 2018 05 9563.
 2018 06 69768.
 2018 07 63767·
 2018 08 95743.
 2018 09 86666·
 2018 10 53649·
 2018 11 11563.
 2018 12 96519.
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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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