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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 5158.
 2000 02 0164·
 2000 03 9193.
 2000 04 64148.
 2000 05 24200.
 2000 06 49175·
 2000 07 0194.
 2000 08 71192.
 2000 09 35201·
 2000 10 20176.
 2000 11 18189.
 2000 12 3141·
 2001 01  87167·
 2001 02  97237.
 2001 03  74203·
 2001 04  2166.
 2001 05  57213.
 2001 06  86218·
 2001 07  7192·
 2001 08  38212·
 2001 09  44203.
 2001 10  17265·
 2001 11  80246.
 2001 12  5210.
 2002 01 74279·
 2002 02 49239.
 2002 03 80228·
 2002 04 22221.
 2002 05 97233·
 2002 06 63236.
 2002 07 20233·
 2002 08 34245·
 2002 09 89232·
 2002 10 65213·
 2002 11 39249.
 2002 12 9270·
 2003 01  50276·
 2003 02  87256·
 2003 03  98245·
 2003 04  42272·
 2003 05  5235.
 2003 06  85331·
 2003 07  87278.
 2003 08  51289·
 2003 09  6282.
 2003 10  42276.
 2003 11  18310.
 2003 12  82280.
 2004 01 26326.
 2004 02 64316.
 2004 03 28340.
 2004 04 2266.
 2004 05 67234·
 2004 06 82317·
 2004 07 82281·
 2004 08 7232·
 2004 09 55250.
 2004 10 53237·
 2004 11 65277.
 2004 12 15275·
 2005 01  38269·
 2005 02  59305.
 2005 03  93314·
 2005 04  71297.
 2005 05  94319.
 2005 06  7282.
 2005 07  1269·
 2005 08  43248.
 2005 09  21292·
 2005 10  27282·
 2005 11  54308.
 2005 12  26235·
 2006 01 47267.
 2006 02 78258.
 2006 03 40313·
 2006 04 39302·
 2006 05 20273·
 2006 06 39242.
 2006 07 70294.
 2006 08 26265.
 2006 09 16253.
 2006 10 19254·
 2006 11 83259.
 2006 12 56222·
 2007 01  37266·
 2007 02  48237.
 2007 03  42244·
 2007 04  24300.
 2007 05  6262.
 2007 06  84222.
 2007 07  34222·
 2007 08  48237.
 2007 09  75289.
 2007 10  7252·
 2007 11  74226·
 2007 12  73231.
 2008 01 19270·
 2008 02 25243·
 2008 03 98295.
 2008 04 67302·
 2008 05 39265.
 2008 06 69291.
 2008 07 69292·
 2008 08 25353·
 2008 09 59352.
 2008 10 97313·
 2008 11 75280.
 2008 12 67304·
 2009 01  30349.
 2009 02  88415·
 2009 03  30449·
 2009 04  35448.
 2009 05  27444·
 2009 06  51473.
 2009 07  71505·
 2009 08  0517·
 2009 09  52543.
 2009 10  16591.
 2009 11  60543.
 2009 12  55563.
 2010 01 29597·
 2010 02 41665.
 2010 03 87516.
 2010 04 20527·
 2010 05 8519.
 2010 06 7543·
 2010 07 63601·
 2010 08 39599.
 2010 09 66645.
 2010 10 21606·
 2010 11 27618·
 2010 12 80548.
 2011 01  2600.
 2011 02  14544.
 2011 03  41500·
 2011 04  39547·
 2011 05  42587·
 2011 06  43468·
 2011 07  94484.
 2011 08  33558·
 2011 09  36556·
 2011 10  89509·
 2011 11  98488·
 2011 12  8538.
 2012 01 59536·
 2012 02 60628.
 2012 03 91597·
 2012 04 33525.
 2012 05 13592·
 2012 06 87599·
 2012 07 37590·
 2012 08 1553·
 2012 09 22516.
 2012 10 26558·
 2012 11 22513.
 2012 12 32518·
 2013 01  37567.
 2013 02  59612.
 2013 03  60503·
 2013 04  69466·
 2013 05  33477·
 2013 06  93442.
 2013 07  89510·
 2013 08  83502·
 2013 09  10505·
 2013 10  60416.
 2013 11  72433.
 2013 12  67445·
 2014 01 95403·
 2014 02 16421.
 2014 03 96416.
 2014 04 40378·
 2014 05 37413.
 2014 06 42402.
 2014 07 75401.
 2014 08 46414·
 2014 09 12390.
 2014 10 46508·
 2014 11 46477.
 2014 12 55427.
 2015 01  19415·
 2015 02  59367.
 2015 03  72348.
 2015 04  61359.
 2015 05  86342·
 2015 06  37360·
 2015 07  41403·
 2015 08  83385·
 2015 09  61318·
 2015 10  63329·
 2015 11  66350·
 2015 12  64381.
 2016 01 21381.
 2016 02 43298.
 2016 03 85371·
 2016 04 75278.
 2016 05 65334.
 2016 06 8315.
 2016 07 61392.
 2016 08 9393.
 2016 09 19392.
 2016 10 16378.
 2016 11 81362·
 2016 12 85315.
 2017 01  34294.
 2017 02  47330.
 2017 03  59287.
 2017 04  48253·


 2017 05  85275.
 2017 06  9269·
 2017 07  33335·
 2017 08  67387·
 2017 09  72385·
 2017 10  33349.
 2017 11  65285.
 2017 12  36322·
 2018 01 20260.
 2018 02 76276.
 2018 03 43304·
 2018 04 73250·
 2018 05 81229·
 2018 06 19272·
 2018 07 80287·
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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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