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 Series Title: Employed: Self-employed Workers, Unincorporated, Education and health services, Women: NSA
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 2000 01 11845·
 2000 02 10792·
 2000 03 43830·
 2000 04 68940·
 2000 05 68932·
 2000 06 28921.
 2000 07 35915.
 2000 08 7832.
 2000 09 41812.
 2000 10 93817·
 2000 11 78788·
 2000 12 95734.
 2001 01  82772.
 2001 02  89753·
 2001 03  85804.
 2001 04  76826·
 2001 05  64877·
 2001 06  22922·
 2001 07  93912·
 2001 08  18875·
 2001 09  89786·
 2001 10  23820.
 2001 11  66786.
 2001 12  17721·
 2002 01 82709.
 2002 02 49758.
 2002 03 91813.
 2002 04 91883·
 2002 05 93875·
 2002 06 82938·
 2002 07 82913.
 2002 08 84932·
 2002 09 98934.
 2002 10 28876·
 2002 11 76867·
 2002 12 66844.
 2003 01  97913·
 2003 02  19856·
 2003 03  36828·
 2003 04  30754.
 2003 05  15797·
 2003 06  12879·
 2003 07  50887·
 2003 08  97881·
 2003 09  3894.
 2003 10  88873.
 2003 11  31873·
 2003 12  9808.
 2004 01 37785·
 2004 02 53777.
 2004 03 17793·
 2004 04 36836·
 2004 05 16858.
 2004 06 41841·
 2004 07 71892.
 2004 08 72918.
 2004 09 66835·
 2004 10 6850.
 2004 11 80846.
 2004 12 37791.
 2005 01  38770.
 2005 02  31780.
 2005 03  58800·
 2005 04  74792.
 2005 05  6812·
 2005 06  23832.
 2005 07  42837·
 2005 08  53821·
 2005 09  72787.
 2005 10  13810·
 2005 11  95822.
 2005 12  68787.
 2006 01 60813·
 2006 02 57872.
 2006 03 6871·
 2006 04 38874.
 2006 05 21898.
 2006 06 38868·
 2006 07 86883·
 2006 08 6875.
 2006 09 30851.
 2006 10 62896.
 2006 11 75855·
 2006 12 43895.
 2007 01  89877·
 2007 02  60823.
 2007 03  34779.
 2007 04  42781·
 2007 05  21851·
 2007 06  90847·
 2007 07  52851.
 2007 08  23864.
 2007 09  78842·
 2007 10  32852.
 2007 11  42811.
 2007 12  29777.
 2008 01 35781·
 2008 02 95782.
 2008 03 41787·
 2008 04 30889.
 2008 05 92873·
 2008 06 8878.
 2008 07 13856·
 2008 08 20879.
 2008 09 75833.
 2008 10 29761·
 2008 11 45741·
 2008 12 18733.
 2009 01  34727·
 2009 02  40842.
 2009 03  50860.
 2009 04  68890.
 2009 05  44919.
 2009 06  47924.
 2009 07  66859.
 2009 08  40898.
 2009 09  7850·
 2009 10  81862·
 2009 11  56828.
 2009 12  27801.
 2010 01 46790·
 2010 02 0810·
 2010 03 8826·
 2010 04 48853.
 2010 05 14848·
 2010 06 86861·
 2010 07 34781.
 2010 08 48806.
 2010 09 84869.
 2010 10 43860.
 2010 11 74857.
 2010 12 97851·
 2011 01  58869.
 2011 02  5862.
 2011 03  88823.
 2011 04  87809·
 2011 05  61763·
 2011 06  28746.
 2011 07  67807·
 2011 08  38824·
 2011 09  43845·
 2011 10  94840.
 2011 11  21782·
 2011 12  95807·
 2012 01 79824·
 2012 02 9864·
 2012 03 90842.
 2012 04 26834.
 2012 05 71847·
 2012 06 5795·
 2012 07 36893.
 2012 08 25862.
 2012 09 43885·
 2012 10 38888.
 2012 11 46867.
 2012 12 13830.
 2013 01  45800·
 2013 02  91777.
 2013 03  35762·
 2013 04  32838·
 2013 05  54883.
 2013 06  69912.
 2013 07  39917·
 2013 08  52930·
 2013 09  70892.
 2013 10  5839.
 2013 11  22765·
 2013 12  68825.
 2014 01 17870·
 2014 02 54905·
 2014 03 72941.
 2014 04 98890·
 2014 05 47850.
 2014 06 0824·
 2014 07 1815.
 2014 08 86815.
 2014 09 35848·
 2014 10 48806.
 2014 11 47830.
 2014 12 1776.
 2015 01  80798·
 2015 02  30783.
 2015 03  73930.
 2015 04  39888.
 2015 05  10893.
 2015 06  3846·
 2015 07  68861.
 2015 08  17856·
 2015 09  73871·
 2015 10  48721.
 2015 11  44677.
 2015 12  80706.
 2016 01 45718.
 2016 02 71806.
 2016 03 38864·
 2016 04 98871.
 2016 05 27805.
 2016 06 6839.
 2016 07 14732.
 2016 08 63798·
 2016 09 45814·
 2016 10 8757·
 2016 11 60789.
 2016 12 96767.
 2017 01  47719·
 2017 02  58752.
 2017 03  89800·
 2017 04  41728.
 2017 05  11674·
 2017 06  64739.


 2017 07  37739.
 2017 08  66741.
 2017 09  36779.
 2017 10  57836.
 2017 11  70772·
 2017 12  67719.
 2018 01 47804.
 2018 02 94832.
 2018 03 73867.
 2018 04 61867.
 2018 05 96851.
 2018 06 57761.
 2018 07 61725.
 2018 08 93775·
 2018 09 57804·
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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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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