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 Series Title: Employed: Self-employed Workers, Unincorporated, Health service, except hospitals, Women: NSA
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 2000 01 65198·
 2000 02 6134.
 2000 03 27152.
 2000 04 41172·
 2000 05 88163·
 2000 06 11161.
 2000 07 51168.
 2000 08 83142.
 2000 09 60165·
 2000 10 94172.
 2000 11 57136·
 2000 12 4130·
 2001 01  29133·
 2001 02  40134·
 2001 03  58140·
 2001 04  50144.
 2001 05  72143.
 2001 06  53184.
 2001 07  92205.
 2001 08  88196·
 2001 09  88191·
 2001 10  66204·
 2001 11  23179·
 2001 12  15155.
 2002 01 4145·
 2002 02 35149·
 2002 03 36178.
 2002 04 47171·
 2002 05 69198.
 2002 06 42220·
 2002 07 47213.
 2002 08 30221.
 2002 09 59200·
 2002 10 94203·
 2002 11 92179.
 2002 12 33218·
 2003 01  75258.
 2003 02  22214.
 2003 03  34212.
 2003 04  50188·
 2003 05  41203.
 2003 06  82241.
 2003 07  61244·
 2003 08  0255·
 2003 09  8264·
 2003 10  57226.
 2003 11  87225·
 2003 12  27192.
 2004 01 52185.
 2004 02 54169·
 2004 03 49179·
 2004 04 1208.
 2004 05 72233·
 2004 06 3258.
 2004 07 10242·
 2004 08 15249·
 2004 09 95230.
 2004 10 61198·
 2004 11 57182·
 2004 12 88207.
 2005 01  71182.
 2005 02  11196·
 2005 03  5205·
 2005 04  65222.
 2005 05  74213·
 2005 06  58203.
 2005 07  90195.
 2005 08  15159·
 2005 09  6166.
 2005 10  34187·
 2005 11  75172·
 2005 12  33202.
 2006 01 92219·
 2006 02 97223·
 2006 03 49227.
 2006 04 36195·
 2006 05 82217·
 2006 06 27241·
 2006 07 24256.
 2006 08 69274.
 2006 09 52257·
 2006 10 31231.
 2006 11 39176.
 2006 12 2226.
 2007 01  2229.
 2007 02  42230.
 2007 03  55209.
 2007 04  29202.
 2007 05  57225.
 2007 06  14214·
 2007 07  61235·
 2007 08  68252·
 2007 09  68231·
 2007 10  31258.
 2007 11  71187·
 2007 12  65200.
 2008 01 10189·
 2008 02 99172.
 2008 03 21203·
 2008 04 87197·
 2008 05 84190.
 2008 06 49218·
 2008 07 75204·
 2008 08 29198·
 2008 09 14186.
 2008 10 39176·
 2008 11 20154·
 2008 12 11182.
 2009 01  52202·
 2009 02  49215·
 2009 03  69220.
 2009 04  76200·
 2009 05  73225·
 2009 06  86247·
 2009 07  61211.
 2009 08  94246.
 2009 09  77202·
 2009 10  83227.
 2009 11  59223.
 2009 12  58184.
 2010 01 90208.
 2010 02 95198·
 2010 03 49230·
 2010 04 88215.
 2010 05 61209·
 2010 06 4221·
 2010 07 45214.
 2010 08 28237.
 2010 09 67246.
 2010 10 17256·
 2010 11 85224.
 2010 12 48222·
 2011 01  7227.
 2011 02  66230·
 2011 03  32238.
 2011 04  40206·
 2011 05  7229.
 2011 06  7223.
 2011 07  74267·
 2011 08  25264·
 2011 09  18257·
 2011 10  22252.
 2011 11  23236.
 2011 12  47247.
 2012 01 15235.
 2012 02 18250.
 2012 03 17250·
 2012 04 74229·
 2012 05 98247.
 2012 06 25224·
 2012 07 20232·
 2012 08 1248.
 2012 09 93258.
 2012 10 2264.
 2012 11 19253.
 2012 12 47259·
 2013 01  50248.
 2013 02  29228·
 2013 03  28204·
 2013 04  57271·
 2013 05  44269·
 2013 06  13282.
 2013 07  83296.
 2013 08  98294·
 2013 09  76265·
 2013 10  85267.
 2013 11  48219.
 2013 12  66246.
 2014 01 71252.
 2014 02 3272·
 2014 03 11309.
 2014 04 79289.
 2014 05 80279·
 2014 06 48269·
 2014 07 85234·
 2014 08 82241.
 2014 09 78263.
 2014 10 26237.
 2014 11 7270.
 2014 12 44270.
 2015 01  65302·
 2015 02  70278·
 2015 03  40327·
 2015 04  59253.
 2015 05  67272.
 2015 06  36273.
 2015 07  73264·
 2015 08  46290·
 2015 09  34288·
 2015 10  5238.
 2015 11  18233.
 2015 12  49246.
 2016 01 42268.
 2016 02 85277·
 2016 03 14265.
 2016 04 38254·
 2016 05 90218.
 2016 06 6217·
 2016 07 22192·
 2016 08 6249.
 2016 09 5273.
 2016 10 26247·
 2016 11 31258·
 2016 12 73268.
 2017 01  37229·
 2017 02  25226.
 2017 03  54278·
 2017 04  82277.


 2017 05  61232.
 2017 06  12242.
 2017 07  29229·
 2017 08  4247.
 2017 09  77273.
 2017 10  17241·
 2017 11  19229.
 2017 12  31261·
 2018 01 12275·
 2018 02 97298·
 2018 03 10274·
 2018 04 84293·
 2018 05 14311·
 2018 06 34253·
 2018 07 17246.
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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, Health service, except hospitals, 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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