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 Series Title: Persons At Work in Education and Health Services Industries, 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 4024312.
 2000 02 3825055·
 2000 03 6224148.
 2000 04 7724678·
 2000 05 7224277·
 2000 06 3920973.
 2000 07 7019065.
 2000 08 9019752·
 2000 09 224088.
 2000 10 6924582·
 2000 11 1025051·
 2000 12 3225140.
 2001 01  8024928·
 2001 02  1025215.
 2001 03  9524781.
 2001 04  4924019·
 2001 05  8124859.
 2001 06  6921767.
 2001 07  6220178·
 2001 08  921301·
 2001 09  624992·
 2001 10  7825452·
 2001 11  7625526.
 2001 12  626016.
 2002 01 8125530.
 2002 02 9326174·
 2002 03 2325627.
 2002 04 6025609·
 2002 05 5425261.
 2002 06 9722320.
 2002 07 1720581·
 2002 08 1421910·
 2002 09 326104·
 2002 10 9426499.
 2002 11 9626550·
 2002 12 3826527.
 2003 01  2726622.
 2003 02  1826818·
 2003 03  2226526·
 2003 04  2626447·
 2003 05  5226368.
 2003 06  2523512·
 2003 07  8321108·
 2003 08  9722326·
 2003 09  2726127.
 2003 10  9626532·
 2003 11  9226528.
 2003 12  9626728.
 2004 01 3026612.
 2004 02 3926580.
 2004 03 8826942.
 2004 04 9026466.
 2004 05 5927016.
 2004 06 8424303.
 2004 07 3221604·
 2004 08 7522590.
 2004 09 4026437·
 2004 10 8826966.
 2004 11 1327302·
 2004 12 7027736·
 2005 01  2527099·
 2005 02  3427124·
 2005 03  4427225·
 2005 04  1827462.
 2005 05  8727384.
 2005 06  2724142.
 2005 07  6322220.
 2005 08  8923417·
 2005 09  2727474·
 2005 10  027717·
 2005 11  3227900·
 2005 12  7727979·
 2006 01 7227572.
 2006 02 927944·
 2006 03 3927155·
 2006 04 227176·
 2006 05 7127914.
 2006 06 3524464.
 2006 07 9822488·
 2006 08 623856·
 2006 09 9928144.
 2006 10 8528332·
 2006 11 4629017.
 2006 12 6128746·
 2007 01  5728547.
 2007 02  9228898.
 2007 03  4628380.
 2007 04  5828016.
 2007 05  7128709·
 2007 06  1024889·
 2007 07  8623026·
 2007 08  1925202·
 2007 09  9129125.
 2007 10  2429181·
 2007 11  7929306·
 2007 12  8629159·
 2008 01 9128898·
 2008 02 3729201·
 2008 03 6329171.
 2008 04 2929538.
 2008 05 7429075.
 2008 06 8426262.
 2008 07 023704.
 2008 08 4325500.
 2008 09 6329829.
 2008 10 1930412.
 2008 11 7930543·
 2008 12 4630394·
 2009 01  1030141·
 2009 02  2530127·
 2009 03  1229912.
 2009 04  8229562·
 2009 05  8929807·
 2009 06  926776.
 2009 07  3824260·
 2009 08  2025419·
 2009 09  129380.
 2009 10  130326.
 2009 11  1830643·
 2009 12  5630366·
 2010 01 7230459.
 2010 02 5930009·
 2010 03 4230144·
 2010 04 730584·
 2010 05 5230236.
 2010 06 6527875.
 2010 07 2224579·
 2010 08 1925927.
 2010 09 1729940·
 2010 10 2430393·
 2010 11 9630621.
 2010 12 5930632·
 2011 01  6629720·
 2011 02  6930164·
 2011 03  2630423.
 2011 04  2330512.
 2011 05  2530296·
 2011 06  5726811.
 2011 07  224672·
 2011 08  2925970·
 2011 09  4430022·
 2011 10  6830190·
 2011 11  3430548·
 2011 12  2130374·
 2012 01 030337·
 2012 02 930618.
 2012 03 6230206·
 2012 04 7029809.
 2012 05 9130491.
 2012 06 1326698.
 2012 07 4925059·
 2012 08 6827095.
 2012 09 4430540·
 2012 10 3530935.
 2012 11 8231002·
 2012 12 3531119·
 2013 01  1030576.
 2013 02  5830987.
 2013 03  7430523.
 2013 04  1530984.
 2013 05  6330607.
 2013 06  8827300·
 2013 07  6225397.
 2013 08  7827614·
 2013 09  330686·
 2013 10  5730802·
 2013 11  1131302.
 2013 12  1731116.
 2014 01 5731139·
 2014 02 2131283·
 2014 03 830903.
 2014 04 5131142·
 2014 05 7430831·
 2014 06 6227785·
 2014 07 6525285.
 2014 08 2627355.
 2014 09 3131094.
 2014 10 8731379.
 2014 11 2031879·
 2014 12 931408·
 2015 01  2731542.
 2015 02  2632053·
 2015 03  3831597.
 2015 04  9532246.
 2015 05  8732114.
 2015 06  3829087.
 2015 07  426472·
 2015 08  328034·
 2015 09  6331654.
 2015 10  431969·
 2015 11  3332540.
 2015 12  7732432·
 2016 01 2932606.
 2016 02 2932842·
 2016 03 6232429·
 2016 04 8733094.
 2016 05 8732803·
 2016 06 4628918.
 2016 07 5427603.
 2016 08 2628754.
 2016 09 6032331.
 2016 10 1232272·
 2016 11 9732303·
 2016 12 1432184.
 2017 01  031862.
 2017 02  833068·
 2017 03  332300·
 2017 04  9432161·


 2017 05  8333204·
 2017 06  4129528·
 2017 07  1227859.
 2017 08  3728805·
 2017 09  832181·
 2017 10  4232486·
 2017 11  8532968·
 2017 12  3632817·
 2018 01 132722.
 2018 02 6834018.
 2018 03 1032858.
 2018 04 1033586·
 2018 05 1233304·
 2018 06 129626·
 2018 07 127957·
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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: Persons At Work in Education and Health Services Industries, 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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