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 Series Title: Employed: Self-employed Workers, Unincorporated, Education and health services, Women: NSA
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 2000 01 89845·
 2000 02 78792.
 2000 03 38830·
 2000 04 23940·
 2000 05 10932.
 2000 06 76921·
 2000 07 4915.
 2000 08 3832.
 2000 09 66812·
 2000 10 42817·
 2000 11 39788·
 2000 12 50734·
 2001 01  8772·
 2001 02  56753.
 2001 03  56804·
 2001 04  9826·
 2001 05  11877.
 2001 06  27922.
 2001 07  94912.
 2001 08  48875·
 2001 09  74786.
 2001 10  84820·
 2001 11  15786·
 2001 12  63721.
 2002 01 25709.
 2002 02 85758.
 2002 03 8813·
 2002 04 71883.
 2002 05 13875.
 2002 06 11938.
 2002 07 84913.
 2002 08 17932.
 2002 09 13934·
 2002 10 70876.
 2002 11 83867.
 2002 12 71844.
 2003 01  26913·
 2003 02  92856.
 2003 03  66828·
 2003 04  26754.
 2003 05  77797·
 2003 06  34879·
 2003 07  23887.
 2003 08  1881·
 2003 09  16894.
 2003 10  79873.
 2003 11  65873·
 2003 12  41808.
 2004 01 20785.
 2004 02 32777.
 2004 03 30793.
 2004 04 15836.
 2004 05 88858.
 2004 06 25841.
 2004 07 82892.
 2004 08 17918.
 2004 09 46835.
 2004 10 16850.
 2004 11 8846·
 2004 12 66791·
 2005 01  44770·
 2005 02  85780·
 2005 03  22800.
 2005 04  7792·
 2005 05  57812.
 2005 06  39832·
 2005 07  61837.
 2005 08  7821·
 2005 09  87787.
 2005 10  9810·
 2005 11  87822.
 2005 12  62787.
 2006 01 58813.
 2006 02 54872.
 2006 03 90871·
 2006 04 91874·
 2006 05 20898.
 2006 06 53868.
 2006 07 81883·
 2006 08 38875·
 2006 09 50851·
 2006 10 14896·
 2006 11 99855·
 2006 12 72895·
 2007 01  47877.
 2007 02  69823.
 2007 03  7779·
 2007 04  86781.
 2007 05  37851.
 2007 06  74847.
 2007 07  92851·
 2007 08  1864.
 2007 09  71842·
 2007 10  10852·
 2007 11  68811.
 2007 12  61777.
 2008 01 23781·
 2008 02 85782·
 2008 03 72787.
 2008 04 33889.
 2008 05 94873.
 2008 06 29878.
 2008 07 66856·
 2008 08 14879·
 2008 09 10833.
 2008 10 0761·
 2008 11 40741·
 2008 12 21733·
 2009 01  20727·
 2009 02  80842·
 2009 03  6860·
 2009 04  99890·
 2009 05  1919.
 2009 06  74924·
 2009 07  2859.
 2009 08  18898·
 2009 09  52850.
 2009 10  15862.
 2009 11  90828.
 2009 12  70801·
 2010 01 0790·
 2010 02 59810·
 2010 03 59826.
 2010 04 76853·
 2010 05 94848·
 2010 06 87861·
 2010 07 22781·
 2010 08 79806·
 2010 09 9869.
 2010 10 7860.
 2010 11 16857·
 2010 12 49851·
 2011 01  47869.
 2011 02  51862.
 2011 03  4823.
 2011 04  80809·
 2011 05  32763.
 2011 06  74746·
 2011 07  74807.
 2011 08  90824·
 2011 09  16845.
 2011 10  58840·
 2011 11  39782.
 2011 12  25807·
 2012 01 73824·
 2012 02 10864·
 2012 03 38842·
 2012 04 53834.
 2012 05 3847·
 2012 06 62795·
 2012 07 32893.
 2012 08 68862·
 2012 09 33885·
 2012 10 70888·
 2012 11 10867.
 2012 12 90830.
 2013 01  12800.
 2013 02  17777.
 2013 03  84762·
 2013 04  62838·
 2013 05  16883·
 2013 06  7912.
 2013 07  93917.
 2013 08  54930.
 2013 09  46892.
 2013 10  74839·
 2013 11  99765·
 2013 12  60825·
 2014 01 26870.
 2014 02 74905·
 2014 03 91941·
 2014 04 99890·
 2014 05 7850.
 2014 06 88824.
 2014 07 81815.
 2014 08 15815·
 2014 09 65848.
 2014 10 24806·
 2014 11 7830·
 2014 12 78776.
 2015 01  99798·
 2015 02  12783·
 2015 03  31930.
 2015 04  81888·
 2015 05  36893.
 2015 06  9846.
 2015 07  43861·
 2015 08  43856·
 2015 09  26871.
 2015 10  98721.
 2015 11  55677·
 2015 12  9706·
 2016 01 44718·
 2016 02 84806.
 2016 03 4864.
 2016 04 49871·
 2016 05 90805·
 2016 06 0839·
 2016 07 53732·
 2016 08 55798.
 2016 09 90814·
 2016 10 1757.
 2016 11 91789·
 2016 12 47767.
 2017 01  94719.
 2017 02  70752.
 2017 03  30800.
 2017 04  70728.
 2017 05  78674.
 2017 06  14739·
 2017 07  9739·
 2017 08  92741.
 2017 09  42779·


 2017 10  63836.
 2017 11  89772.
 2017 12  7719·
 2018 01 11804·
 2018 02 75832·
 2018 03 60867.
 2018 04 36867·
 2018 05 36851.
 2018 06 31761·
 2018 07 33725·
 2018 08 21775.
 2018 09 92804.
 2018 10 38851·
 2018 11 47796.
 2018 12 32789.
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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: Self-employed Workers, Unincorporated, Education and health services, Women: 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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