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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 3624312·
 2000 02 3425055.
 2000 03 9524148·
 2000 04 8324678·
 2000 05 9024277.
 2000 06 620973·
 2000 07 2419065·
 2000 08 6819752·
 2000 09 4224088·
 2000 10 824582.
 2000 11 8625051·
 2000 12 8325140.
 2001 01  4224928·
 2001 02  2125215.
 2001 03  9224781·
 2001 04  7124019·
 2001 05  6524859·
 2001 06  5221767.
 2001 07  8220178·
 2001 08  321301·
 2001 09  1224992·
 2001 10  3325452.
 2001 11  1825526·
 2001 12  7226016·
 2002 01 825530.
 2002 02 2026174·
 2002 03 8725627.
 2002 04 9825609.
 2002 05 425261·
 2002 06 9522320·
 2002 07 320581·
 2002 08 2421910.
 2002 09 7426104.
 2002 10 6526499·
 2002 11 326550.
 2002 12 2026527·
 2003 01  2026622·
 2003 02  6126818·
 2003 03  5126526·
 2003 04  8026447.
 2003 05  6726368.
 2003 06  3923512.
 2003 07  3421108·
 2003 08  2322326·
 2003 09  6426127.
 2003 10  8226532.
 2003 11  6526528.
 2003 12  9326728.
 2004 01 8926612·
 2004 02 9726580·
 2004 03 8226942.
 2004 04 5926466.
 2004 05 4027016·
 2004 06 1424303.
 2004 07 4921604·
 2004 08 1622590.
 2004 09 4326437.
 2004 10 9026966·
 2004 11 5227302.
 2004 12 8227736·
 2005 01  4927099.
 2005 02  827124·
 2005 03  427225.
 2005 04  227462·
 2005 05  3327384.
 2005 06  7324142.
 2005 07  4522220.
 2005 08  4623417·
 2005 09  9627474.
 2005 10  1727717·
 2005 11  3627900.
 2005 12  627979.
 2006 01 6227572.
 2006 02 9827944.
 2006 03 6527155.
 2006 04 227176.
 2006 05 8327914·
 2006 06 9624464·
 2006 07 4622488·
 2006 08 7823856.
 2006 09 3328144.
 2006 10 1828332.
 2006 11 1629017·
 2006 12 428746·
 2007 01  1328547·
 2007 02  9628898·
 2007 03  3828380·
 2007 04  7428016.
 2007 05  4928709.
 2007 06  8724889.
 2007 07  023026.
 2007 08  625202.
 2007 09  9029125·
 2007 10  7229181·
 2007 11  1429306.
 2007 12  4629159·
 2008 01 1328898.
 2008 02 5829201·
 2008 03 2029171.
 2008 04 6129538.
 2008 05 1729075.
 2008 06 7626262.
 2008 07 7923704·
 2008 08 4625500.
 2008 09 2829829.
 2008 10 8330412.
 2008 11 8030543·
 2008 12 2130394·
 2009 01  9630141.
 2009 02  6130127·
 2009 03  3529912.
 2009 04  2929562.
 2009 05  9829807·
 2009 06  1726776.
 2009 07  8224260·
 2009 08  3925419·
 2009 09  3229380·
 2009 10  8130326·
 2009 11  8530643·
 2009 12  4730366.
 2010 01 2530459.
 2010 02 1130009.
 2010 03 3130144.
 2010 04 7030584.
 2010 05 2730236·
 2010 06 8827875·
 2010 07 3224579·
 2010 08 5325927·
 2010 09 1329940·
 2010 10 2030393.
 2010 11 2830621·
 2010 12 6530632.
 2011 01  8429720.
 2011 02  3730164.
 2011 03  8030423.
 2011 04  130512·
 2011 05  6530296.
 2011 06  9626811·
 2011 07  7824672·
 2011 08  7925970·
 2011 09  630022·
 2011 10  7930190·
 2011 11  3230548.
 2011 12  4330374·
 2012 01 8330337.
 2012 02 9230618.
 2012 03 8230206.
 2012 04 6429809.
 2012 05 9730491.
 2012 06 6826698.
 2012 07 9125059.
 2012 08 3427095·
 2012 09 7230540·
 2012 10 6230935.
 2012 11 4531002.
 2012 12 7331119·
 2013 01  5930576.
 2013 02  5730987.
 2013 03  5930523.
 2013 04  2530984·
 2013 05  3430607.
 2013 06  5927300.
 2013 07  7025397·
 2013 08  5927614·
 2013 09  9630686.
 2013 10  9930802·
 2013 11  4031302.
 2013 12  7031116·
 2014 01 7231139.
 2014 02 3531283.
 2014 03 5830903·
 2014 04 7731142.
 2014 05 1130831·
 2014 06 4827785.
 2014 07 3825285·
 2014 08 2327355.
 2014 09 9031094·
 2014 10 4431379·
 2014 11 1531879.
 2014 12 7831408·
 2015 01  731542·
 2015 02  5632053.
 2015 03  5431597·
 2015 04  3532246.
 2015 05  9032114·
 2015 06  4029087·
 2015 07  4326472·
 2015 08  1528034·
 2015 09  8731654.
 2015 10  7731969·
 2015 11  9332540·
 2015 12  6132432.
 2016 01 7632606.
 2016 02 7532842·
 2016 03 4432429.
 2016 04 4333094·
 2016 05 5532803·
 2016 06 6428918.
 2016 07 5827603.
 2016 08 5428754·
 2016 09 5032331.
 2016 10 132272·
 2016 11 2332303.
 2016 12 1432184·
 2017 01  1231862·
 2017 02  6933068.
 2017 03  5132300·
 2017 04  6632161·
 2017 05  1733204·
 2017 06  7429528.
 2017 07  8127859.
 2017 08  8128805.
 2017 09  6332181.


 2017 10  4732486.
 2017 11  7632968.
 2017 12  5132817.
 2018 01 7832722.
 2018 02 4534018·
 2018 03 2332858·
 2018 04 9733586·
 2018 05 1133304.
 2018 06 4929626.
 2018 07 3627957.
 2018 08 6230331·
 2018 09 3832672·
 2018 10 6733189.
 2018 11 5233526·
 2018 12 1633911.
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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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