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 Series Title: Employed: Self-employed Workers, Unincorporated, Health service, except hospitals, Women: NSA
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 2000 01 90198.
 2000 02 65134·
 2000 03 84152.
 2000 04 45172·
 2000 05 68163·
 2000 06 75161·
 2000 07 91168.
 2000 08 71142·
 2000 09 50165.
 2000 10 21172·
 2000 11 36136.
 2000 12 33130·
 2001 01  86133.
 2001 02  85134.
 2001 03  32140.
 2001 04  75144·
 2001 05  52143·
 2001 06  73184·
 2001 07  18205·
 2001 08  67196·
 2001 09  48191·
 2001 10  16204·
 2001 11  55179·
 2001 12  2155·
 2002 01 99145.
 2002 02 73149.
 2002 03 33178·
 2002 04 0171·
 2002 05 56198.
 2002 06 23220.
 2002 07 63213·
 2002 08 5221.
 2002 09 94200·
 2002 10 75203.
 2002 11 84179·
 2002 12 85218.
 2003 01  14258.
 2003 02  58214.
 2003 03  59212·
 2003 04  36188.
 2003 05  41203.
 2003 06  31241.
 2003 07  76244.
 2003 08  77255·
 2003 09  25264·
 2003 10  75226·
 2003 11  46225·
 2003 12  50192·
 2004 01 42185.
 2004 02 96169.
 2004 03 9179·
 2004 04 26208.
 2004 05 92233·
 2004 06 26258·
 2004 07 28242.
 2004 08 99249.
 2004 09 0230·
 2004 10 22198.
 2004 11 89182.
 2004 12 88207.
 2005 01  18182.
 2005 02  65196·
 2005 03  6205·
 2005 04  37222.
 2005 05  20213·
 2005 06  62203·
 2005 07  18195.
 2005 08  15159·
 2005 09  6166.
 2005 10  44187·
 2005 11  86172·
 2005 12  16202.
 2006 01 3219.
 2006 02 69223.
 2006 03 98227·
 2006 04 60195·
 2006 05 60217.
 2006 06 17241·
 2006 07 68256.
 2006 08 90274·
 2006 09 52257.
 2006 10 96231·
 2006 11 34176.
 2006 12 76226·
 2007 01  82229·
 2007 02  38230·
 2007 03  58209.
 2007 04  12202·
 2007 05  72225.
 2007 06  98214.
 2007 07  28235.
 2007 08  16252·
 2007 09  75231.
 2007 10  58258.
 2007 11  58187.
 2007 12  34200.
 2008 01 66189.
 2008 02 26172.
 2008 03 84203.
 2008 04 34197.
 2008 05 44190·
 2008 06 32218·
 2008 07 70204.
 2008 08 11198.
 2008 09 35186·
 2008 10 33176·
 2008 11 4154·
 2008 12 83182·
 2009 01  90202.
 2009 02  12215·
 2009 03  99220·
 2009 04  94200.
 2009 05  84225·
 2009 06  74247.
 2009 07  92211.
 2009 08  15246·
 2009 09  17202.
 2009 10  51227.
 2009 11  47223.
 2009 12  38184·
 2010 01 15208·
 2010 02 1198·
 2010 03 51230·
 2010 04 84215.
 2010 05 28209.
 2010 06 3221.
 2010 07 17214.
 2010 08 95237.
 2010 09 32246.
 2010 10 66256·
 2010 11 84224·
 2010 12 43222·
 2011 01  27227·
 2011 02  21230.
 2011 03  13238.
 2011 04  19206.
 2011 05  38229.
 2011 06  25223·
 2011 07  93267·
 2011 08  45264·
 2011 09  16257·
 2011 10  58252·
 2011 11  38236.
 2011 12  63247·
 2012 01 36235.
 2012 02 28250·
 2012 03 83250·
 2012 04 43229.
 2012 05 98247.
 2012 06 67224·
 2012 07 94232.
 2012 08 79248.
 2012 09 29258.
 2012 10 30264·
 2012 11 57253.
 2012 12 91259.
 2013 01  77248·
 2013 02  1228.
 2013 03  85204·
 2013 04  21271·
 2013 05  20269.
 2013 06  84282·
 2013 07  16296·
 2013 08  41294.
 2013 09  56265.
 2013 10  13267·
 2013 11  14219.
 2013 12  43246.
 2014 01 12252·
 2014 02 43272.
 2014 03 66309.
 2014 04 46289·
 2014 05 38279·
 2014 06 56269·
 2014 07 84234·
 2014 08 96241·
 2014 09 9263·
 2014 10 59237·
 2014 11 8270·
 2014 12 61270.
 2015 01  25302·
 2015 02  84278.
 2015 03  99327·
 2015 04  35253·
 2015 05  13272.
 2015 06  87273·
 2015 07  46264·
 2015 08  37290.
 2015 09  22288.
 2015 10  50238.
 2015 11  61233·
 2015 12  12246.
 2016 01 28268·
 2016 02 79277.
 2016 03 82265.
 2016 04 28254·
 2016 05 31218.
 2016 06 6217·
 2016 07 73192.
 2016 08 80249·
 2016 09 56273.
 2016 10 88247.
 2016 11 21258.
 2016 12 87268.
 2017 01  55229·


 2017 02  6226.
 2017 03  39278.
 2017 04  94277·
 2017 05  2232.
 2017 06  68242.
 2017 07  65229.
 2017 08  68247.
 2017 09  98273·
 2017 10  4241.
 2017 11  62229.
 2017 12  5261.
 2018 01 68275.
 2018 02 71298.
 2018 03 18274.
 2018 04 23293.
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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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