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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 35158·
 2000 02 57164·
 2000 03 42193·
 2000 04 86148·
 2000 05 12200·
 2000 06 40175·
 2000 07 97194.
 2000 08 36192·
 2000 09 92201·
 2000 10 60176·
 2000 11 90189.
 2000 12 21141.
 2001 01  27167·
 2001 02  97237.
 2001 03  35203.
 2001 04  87166.
 2001 05  91213·
 2001 06  58218.
 2001 07  69192·
 2001 08  2212·
 2001 09  86203.
 2001 10  76265·
 2001 11  55246.
 2001 12  60210.
 2002 01 35279·
 2002 02 5239.
 2002 03 81228.
 2002 04 82221.
 2002 05 91233.
 2002 06 29236.
 2002 07 60233.
 2002 08 10245.
 2002 09 27232·
 2002 10 54213.
 2002 11 29249·
 2002 12 14270.
 2003 01  46276·
 2003 02  11256.
 2003 03  52245·
 2003 04  89272.
 2003 05  71235.
 2003 06  58331.
 2003 07  17278.
 2003 08  52289·
 2003 09  53282.
 2003 10  75276.
 2003 11  36310.
 2003 12  49280·
 2004 01 69326·
 2004 02 69316.
 2004 03 48340.
 2004 04 49266.
 2004 05 17234·
 2004 06 73317.
 2004 07 15281·
 2004 08 45232.
 2004 09 24250.
 2004 10 42237.
 2004 11 24277·
 2004 12 58275·
 2005 01  40269.
 2005 02  58305.
 2005 03  90314·
 2005 04  30297·
 2005 05  40319·
 2005 06  29282·
 2005 07  50269.
 2005 08  31248.
 2005 09  25292.
 2005 10  85282·
 2005 11  66308.
 2005 12  56235·
 2006 01 20267·
 2006 02 83258·
 2006 03 27313.
 2006 04 23302.
 2006 05 75273·
 2006 06 5242·
 2006 07 46294.
 2006 08 77265·
 2006 09 67253.
 2006 10 57254.
 2006 11 60259.
 2006 12 86222.
 2007 01  94266.
 2007 02  72237·
 2007 03  33244.
 2007 04  45300.
 2007 05  84262.
 2007 06  5222·
 2007 07  51222.
 2007 08  73237·
 2007 09  85289.
 2007 10  39252.
 2007 11  29226·
 2007 12  14231.
 2008 01 74270·
 2008 02 80243.
 2008 03 4295·
 2008 04 38302.
 2008 05 50265·
 2008 06 60291.
 2008 07 38292·
 2008 08 38353·
 2008 09 40352·
 2008 10 35313·
 2008 11 21280·
 2008 12 33304.
 2009 01  93349.
 2009 02  87415·
 2009 03  64449·
 2009 04  68448·
 2009 05  86444.
 2009 06  22473·
 2009 07  6505.
 2009 08  12517.
 2009 09  17543.
 2009 10  73591·
 2009 11  9543·
 2009 12  59563.
 2010 01 14597.
 2010 02 96665.
 2010 03 61516.
 2010 04 28527·
 2010 05 26519·
 2010 06 72543.
 2010 07 76601·
 2010 08 63599·
 2010 09 28645.
 2010 10 8606.
 2010 11 91618·
 2010 12 34548·
 2011 01  21600.
 2011 02  37544.
 2011 03  69500.
 2011 04  34547·
 2011 05  30587.
 2011 06  13468.
 2011 07  98484·
 2011 08  83558.
 2011 09  7556·
 2011 10  20509.
 2011 11  90488·
 2011 12  24538·
 2012 01 25536·
 2012 02 64628·
 2012 03 84597.
 2012 04 28525.
 2012 05 86592.
 2012 06 76599.
 2012 07 43590.
 2012 08 88553·
 2012 09 15516.
 2012 10 13558·
 2012 11 55513.
 2012 12 22518·
 2013 01  62567.
 2013 02  57612·
 2013 03  31503.
 2013 04  77466·
 2013 05  3477·
 2013 06  14442·
 2013 07  11510·
 2013 08  19502·
 2013 09  37505.
 2013 10  16416·
 2013 11  57433·
 2013 12  45445·
 2014 01 92403.
 2014 02 19421.
 2014 03 57416·
 2014 04 72378.
 2014 05 16413.
 2014 06 6402.
 2014 07 24401·
 2014 08 45414.
 2014 09 85390·
 2014 10 83508.
 2014 11 96477·
 2014 12 33427·
 2015 01  0415.
 2015 02  81367.
 2015 03  36348·
 2015 04  31359·
 2015 05  86342.
 2015 06  57360·
 2015 07  31403·
 2015 08  56385·
 2015 09  94318.
 2015 10  93329.
 2015 11  95350.
 2015 12  55381.
 2016 01 98381.
 2016 02 96298·
 2016 03 65371.
 2016 04 94278·
 2016 05 0334.
 2016 06 97315.
 2016 07 4392·
 2016 08 70393·
 2016 09 24392.
 2016 10 52378.
 2016 11 0362.
 2016 12 1315.
 2017 01  21294·


 2017 02  44330·
 2017 03  67287·
 2017 04  30253·
 2017 05  66275·
 2017 06  78269·
 2017 07  41335·
 2017 08  28387·
 2017 09  60385·
 2017 10  88349.
 2017 11  87285·
 2017 12  88322.
 2018 01 29260·
 2018 02 29276.
 2018 03 91304.
 2018 04 30250·
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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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