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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 924312·
 2000 02 8025055·
 2000 03 8124148·
 2000 04 5324678·
 2000 05 5924277·
 2000 06 6720973.
 2000 07 4419065.
 2000 08 9019752.
 2000 09 8324088·
 2000 10 5924582.
 2000 11 1525051·
 2000 12 3225140.
 2001 01  2924928.
 2001 02  3725215·
 2001 03  624781.
 2001 04  2324019.
 2001 05  7324859·
 2001 06  921767.
 2001 07  5420178·
 2001 08  3321301.
 2001 09  1724992·
 2001 10  525452.
 2001 11  2425526.
 2001 12  5526016.
 2002 01 8425530·
 2002 02 8226174.
 2002 03 225627·
 2002 04 825609·
 2002 05 2725261·
 2002 06 2322320·
 2002 07 220581.
 2002 08 3721910.
 2002 09 1926104·
 2002 10 3226499·
 2002 11 6126550·
 2002 12 1126527.
 2003 01  6126622.
 2003 02  4426818·
 2003 03  4326526.
 2003 04  2326447.
 2003 05  7926368·
 2003 06  1223512.
 2003 07  3521108·
 2003 08  9422326.
 2003 09  2326127·
 2003 10  2126532·
 2003 11  5026528·
 2003 12  6726728.
 2004 01 6926612·
 2004 02 7526580.
 2004 03 2726942.
 2004 04 1126466.
 2004 05 1627016·
 2004 06 824303.
 2004 07 2721604·
 2004 08 2022590.
 2004 09 9126437·
 2004 10 7426966.
 2004 11 3927302.
 2004 12 1527736.
 2005 01  4427099.
 2005 02  5727124.
 2005 03  7627225.
 2005 04  3827462.
 2005 05  4927384·
 2005 06  6224142.
 2005 07  7522220.
 2005 08  5823417·
 2005 09  827474·
 2005 10  2227717.
 2005 11  027900.
 2005 12  7127979·
 2006 01 4627572·
 2006 02 9327944·
 2006 03 3827155·
 2006 04 9527176·
 2006 05 1327914·
 2006 06 5624464.
 2006 07 322488.
 2006 08 7423856·
 2006 09 8528144·
 2006 10 1928332.
 2006 11 3229017·
 2006 12 7828746.
 2007 01  6228547.
 2007 02  1228898.
 2007 03  8828380.
 2007 04  028016·
 2007 05  6928709.
 2007 06  9324889·
 2007 07  5923026·
 2007 08  6125202·
 2007 09  5729125.
 2007 10  4329181·
 2007 11  5729306·
 2007 12  229159.
 2008 01 128898·
 2008 02 6929201·
 2008 03 2229171.
 2008 04 9529538·
 2008 05 129075.
 2008 06 326262.
 2008 07 1523704·
 2008 08 3325500·
 2008 09 8429829·
 2008 10 030412·
 2008 11 2530543.
 2008 12 3630394·
 2009 01  9930141.
 2009 02  4330127.
 2009 03  6429912·
 2009 04  4729562.
 2009 05  2229807·
 2009 06  3926776.
 2009 07  7024260·
 2009 08  3525419.
 2009 09  5329380.
 2009 10  1930326.
 2009 11  730643·
 2009 12  9530366.
 2010 01 1730459.
 2010 02 3930009.
 2010 03 6230144·
 2010 04 4630584.
 2010 05 6530236.
 2010 06 8227875·
 2010 07 4724579·
 2010 08 3225927·
 2010 09 7329940·
 2010 10 5330393.
 2010 11 230621·
 2010 12 2230632.
 2011 01  4029720.
 2011 02  8530164·
 2011 03  8830423.
 2011 04  1030512·
 2011 05  9330296·
 2011 06  3526811.
 2011 07  9424672.
 2011 08  1625970.
 2011 09  8030022·
 2011 10  8330190.
 2011 11  3330548.
 2011 12  8330374·
 2012 01 7930337·
 2012 02 3630618.
 2012 03 4230206.
 2012 04 8129809.
 2012 05 8930491·
 2012 06 2726698.
 2012 07 8425059.
 2012 08 427095.
 2012 09 3630540·
 2012 10 1230935·
 2012 11 4831002·
 2012 12 7131119.
 2013 01  7030576.
 2013 02  7230987.
 2013 03  4630523.
 2013 04  2630984.
 2013 05  6630607.
 2013 06  1427300·
 2013 07  1525397.
 2013 08  3827614.
 2013 09  2530686.
 2013 10  7030802.
 2013 11  2031302.
 2013 12  131116.
 2014 01 7231139·
 2014 02 9631283·
 2014 03 4730903.
 2014 04 3631142·
 2014 05 5830831·
 2014 06 7427785·
 2014 07 1025285·
 2014 08 8427355·
 2014 09 5731094.
 2014 10 1131379·
 2014 11 4731879·
 2014 12 1731408.
 2015 01  7231542.
 2015 02  3832053.
 2015 03  2031597·
 2015 04  2732246·
 2015 05  2532114.
 2015 06  1229087.
 2015 07  1726472.
 2015 08  3528034·
 2015 09  7031654·
 2015 10  1431969·
 2015 11  5232540·
 2015 12  8432432.
 2016 01 7932606.
 2016 02 5232842·
 2016 03 6232429.
 2016 04 4333094.
 2016 05 5532803·
 2016 06 5628918.
 2016 07 1027603.
 2016 08 728754·
 2016 09 2232331·
 2016 10 8432272·
 2016 11 8332303.
 2016 12 9532184.
 2017 01  3031862.


 2017 02  1733068.
 2017 03  9632300.
 2017 04  5032161·
 2017 05  5633204.
 2017 06  6229528·
 2017 07  8527859.
 2017 08  4228805·
 2017 09  032181·
 2017 10  5032486·
 2017 11  1432968.
 2017 12  6532817.
 2018 01 8632722·
 2018 02 3834018·
 2018 03 7032858·
 2018 04 3933586.
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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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