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 Series Title: Employed: Wage and salary workers, Education and health services: 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 225290.
 2000 02 2025709.
 2000 03 4825474·
 2000 04 6925474.
 2000 05 9225012·
 2000 06 2724285·
 2000 07 8523744·
 2000 08 1023725.
 2000 09 2424900·
 2000 10 725499·
 2000 11 9925784·
 2000 12 2525985·
 2001 01  4725937.
 2001 02  4225964.
 2001 03  126127·
 2001 04  5825872·
 2001 05  3825646·
 2001 06  4024938.
 2001 07  3024712.
 2001 08  7724691·
 2001 09  9625798.
 2001 10  3026262.
 2001 11  4926332.
 2001 12  7826711.
 2002 01 4726487·
 2002 02 7126943·
 2002 03 4526882·
 2002 04 7926558.
 2002 05 4226269.
 2002 06 4325389·
 2002 07 3225251·
 2002 08 2425535.
 2002 09 5527001·
 2002 10 5327328·
 2002 11 4627179.
 2002 12 8327253.
 2003 01  8727491.
 2003 02  3427600.
 2003 03  5227677·
 2003 04  4927526·
 2003 05  6327247.
 2003 06  4126606·
 2003 07  3726083·
 2003 08  4226043·
 2003 09  3526939.
 2003 10  5627451·
 2003 11  1427232.
 2003 12  627475.
 2004 01 7627421.
 2004 02 8627403.
 2004 03 2028083·
 2004 04 1128259·
 2004 05 8927954.
 2004 06 6327409.
 2004 07 2026612.
 2004 08 4926370.
 2004 09 9727362.
 2004 10 4327913·
 2004 11 028059·
 2004 12 4128420.
 2005 01  5228074·
 2005 02  827835.
 2005 03  7328188.
 2005 04  3028266.
 2005 05  2828258·
 2005 06  6427627.
 2005 07  7827142·
 2005 08  8627357.
 2005 09  2728312·
 2005 10  4328669·
 2005 11  7728682.
 2005 12  228690.
 2006 01 7328579.
 2006 02 228826·
 2006 03 5828824·
 2006 04 9928900.
 2006 05 1828896.
 2006 06 2227976·
 2006 07 3427597.
 2006 08 2027969.
 2006 09 3628930·
 2006 10 1029420.
 2006 11 4429786·
 2006 12 3329490.
 2007 01  2729664.
 2007 02  9829746.
 2007 03  4929927·
 2007 04  3529854.
 2007 05  1829548.
 2007 06  4228584.
 2007 07  3728248.
 2007 08  4228897.
 2007 09  5829929·
 2007 10  2430131·
 2007 11  2330108·
 2007 12  029948·
 2008 01 2329983·
 2008 02 5130118.
 2008 03 4330313·
 2008 04 7830699.
 2008 05 1329986·
 2008 06 5429618·
 2008 07 6029081.
 2008 08 7029465·
 2008 09 5430690·
 2008 10 9031319.
 2008 11 6331389·
 2008 12 9531174·
 2009 01  9731074.
 2009 02  4030905·
 2009 03  6330966·
 2009 04  9731418·
 2009 05  1530792.
 2009 06  1129964.
 2009 07  029635.
 2009 08  4629467.
 2009 09  1130468.
 2009 10  3531240·
 2009 11  3631401.
 2009 12  3531216·
 2010 01 931461·
 2010 02 6931085.
 2010 03 5831204·
 2010 04 8331480·
 2010 05 5931103·
 2010 06 9330616·
 2010 07 8129791.
 2010 08 3529796·
 2010 09 3830853.
 2010 10 1531259.
 2010 11 4131403·
 2010 12 6031402·
 2011 01  4530857.
 2011 02  6730987.
 2011 03  131328·
 2011 04  5231401.
 2011 05  631091.
 2011 06  430142.
 2011 07  5029454.
 2011 08  3129775.
 2011 09  7130814·
 2011 10  1031150·
 2011 11  031279·
 2011 12  3931124·
 2012 01 1631239·
 2012 02 8931540·
 2012 03 9031683·
 2012 04 4731548.
 2012 05 4031419.
 2012 06 7430255·
 2012 07 8129883·
 2012 08 4930316.
 2012 09 7131416·
 2012 10 2231897.
 2012 11 6331900·
 2012 12 6331827.
 2013 01  5731654.
 2013 02  1431870·
 2013 03  4731930·
 2013 04  3531925·
 2013 05  7431529·
 2013 06  5730544.
 2013 07  7230339.
 2013 08  3230736·
 2013 09  2231432.
 2013 10  8231558.
 2013 11  132020·
 2013 12  4931908.
 2014 01 2831991.
 2014 02 4632172·
 2014 03 2132194·
 2014 04 632253·
 2014 05 4131700.
 2014 06 3130810·
 2014 07 4630215.
 2014 08 4630530.
 2014 09 3731940·
 2014 10 4432280·
 2014 11 1332633·
 2014 12 3932267·
 2015 01  1632462·
 2015 02  1532891·
 2015 03  8532931·
 2015 04  7833195.
 2015 05  333099·
 2015 06  231979·
 2015 07  5031102·
 2015 08  8331446.
 2015 09  5032572.
 2015 10  8732969·
 2015 11  2133330.
 2015 12  9833248·
 2016 01 3033569·
 2016 02 7533731.
 2016 03 3633564·
 2016 04 9334044·
 2016 05 4633730·
 2016 06 9932516.
 2016 07 5832463.
 2016 08 6032430·
 2016 09 2133255·
 2016 10 1533238.
 2016 11 7533113·
 2016 12 2032979·
 2017 01  733138.
 2017 02  533991.
 2017 03  9934014.
 2017 04  1734078·


 2017 05  7934184.
 2017 06  7533072.
 2017 07  6932765.
 2017 08  1932388·
 2017 09  3733437.
 2017 10  5833482.
 2017 11  4733787·
 2017 12  2133548.
 2018 01 734025·
 2018 02 934941·
 2018 03 2134615.
 2018 04 4234513.
 2018 05 3834253·
 2018 06 1133005·
 2018 07 432516.
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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: Employed: Wage and salary workers, Education and health services: 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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