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 Series Title: Unemployment Level: Nonagricultural Private Wage and Salary Workers, Health Services, Except Hospitals: NSA
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 2000 01 19158.
 2000 02 43164·
 2000 03 89193.
 2000 04 78148·
 2000 05 55200.
 2000 06 68175.
 2000 07 67194.
 2000 08 31192·
 2000 09 20201.
 2000 10 54176.
 2000 11 7189·
 2000 12 45141·
 2001 01  65167.
 2001 02  82237.
 2001 03  24203.
 2001 04  64166·
 2001 05  64213.
 2001 06  59218·
 2001 07  56192·
 2001 08  57212.
 2001 09  18203.
 2001 10  17265·
 2001 11  64246·
 2001 12  19210·
 2002 01 52279·
 2002 02 13239·
 2002 03 37228.
 2002 04 69221·
 2002 05 18233·
 2002 06 28236·
 2002 07 88233·
 2002 08 51245·
 2002 09 89232.
 2002 10 69213·
 2002 11 55249·
 2002 12 34270.
 2003 01  67276.
 2003 02  67256.
 2003 03  1245·
 2003 04  12272.
 2003 05  77235.
 2003 06  80331.
 2003 07  13278.
 2003 08  4289·
 2003 09  69282.
 2003 10  88276·
 2003 11  4310·
 2003 12  55280.
 2004 01 19326.
 2004 02 98316.
 2004 03 13340·
 2004 04 33266.
 2004 05 28234.
 2004 06 43317.
 2004 07 2281·
 2004 08 33232.
 2004 09 19250·
 2004 10 78237.
 2004 11 59277.
 2004 12 73275.
 2005 01  45269·
 2005 02  85305·
 2005 03  97314.
 2005 04  99297.
 2005 05  80319.
 2005 06  72282·
 2005 07  54269·
 2005 08  79248.
 2005 09  25292.
 2005 10  69282·
 2005 11  93308.
 2005 12  7235.
 2006 01 4267·
 2006 02 33258·
 2006 03 1313·
 2006 04 3302.
 2006 05 69273·
 2006 06 46242.
 2006 07 92294·
 2006 08 10265.
 2006 09 96253.
 2006 10 14254.
 2006 11 3259·
 2006 12 98222.
 2007 01  83266·
 2007 02  70237·
 2007 03  98244·
 2007 04  60300.
 2007 05  57262.
 2007 06  69222·
 2007 07  64222·
 2007 08  17237·
 2007 09  68289.
 2007 10  94252·
 2007 11  14226·
 2007 12  12231.
 2008 01 91270.
 2008 02 51243.
 2008 03 86295·
 2008 04 14302·
 2008 05 28265.
 2008 06 72291.
 2008 07 43292·
 2008 08 17353·
 2008 09 2352.
 2008 10 13313·
 2008 11 73280.
 2008 12 41304.
 2009 01  65349·
 2009 02  56415.
 2009 03  88449.
 2009 04  30448.
 2009 05  93444·
 2009 06  7473·
 2009 07  27505.
 2009 08  52517.
 2009 09  84543·
 2009 10  99591.
 2009 11  52543·
 2009 12  3563·
 2010 01 65597.
 2010 02 88665.
 2010 03 52516.
 2010 04 0527.
 2010 05 87519.
 2010 06 55543·
 2010 07 39601.
 2010 08 89599·
 2010 09 24645.
 2010 10 8606.
 2010 11 51618·
 2010 12 38548·
 2011 01  77600·
 2011 02  77544.
 2011 03  51500.
 2011 04  42547.
 2011 05  71587.
 2011 06  20468.
 2011 07  27484.
 2011 08  19558·
 2011 09  57556.
 2011 10  18509·
 2011 11  92488·
 2011 12  14538.
 2012 01 10536·
 2012 02 77628·
 2012 03 84597·
 2012 04 96525.
 2012 05 31592·
 2012 06 30599·
 2012 07 65590.
 2012 08 59553.
 2012 09 44516·
 2012 10 33558·
 2012 11 23513·
 2012 12 23518.
 2013 01  1567.
 2013 02  68612·
 2013 03  72503·
 2013 04  30466.
 2013 05  77477.
 2013 06  41442·
 2013 07  50510.
 2013 08  52502.
 2013 09  71505·
 2013 10  84416·
 2013 11  18433.
 2013 12  81445.
 2014 01 10403·
 2014 02 54421.
 2014 03 65416.
 2014 04 36378.
 2014 05 44413·
 2014 06 31402.
 2014 07 5401·
 2014 08 63414·
 2014 09 49390.
 2014 10 24508.
 2014 11 74477·
 2014 12 30427·
 2015 01  23415.
 2015 02  63367.
 2015 03  36348.
 2015 04  30359·
 2015 05  94342.
 2015 06  6360·
 2015 07  78403·
 2015 08  85385·
 2015 09  11318·
 2015 10  33329.
 2015 11  14350.
 2015 12  36381.
 2016 01 50381.
 2016 02 51298.
 2016 03 81371.
 2016 04 55278.
 2016 05 12334.
 2016 06 93315·
 2016 07 43392·
 2016 08 34393.
 2016 09 21392·
 2016 10 15378·
 2016 11 86362·
 2016 12 93315·
 2017 01  27294·
 2017 02  97330.
 2017 03  25287.
 2017 04  76253·
 2017 05  8275.
 2017 06  48269·
 2017 07  97335·
 2017 08  52387·
 2017 09  62385.


 2017 10  98349·
 2017 11  65285·
 2017 12  16322·
 2018 01 15260.
 2018 02 5276·
 2018 03 16304.
 2018 04 86250.
 2018 05 17229·
 2018 06 50272·
 2018 07 64287·
 2018 08 7265·
 2018 09 45285·
 2018 10 39320.
 2018 11 46297.
 2018 12 47271.
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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: Nonagricultural Private Wage and Salary Workers, Health Services, Except Hospitals: 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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