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 Series Title: Employed: Self-employed Workers, Unincorporated, Education and health services, Women: NSA
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 2000 01 90845·
 2000 02 81792·
 2000 03 66830·
 2000 04 42940·
 2000 05 31932·
 2000 06 53921·
 2000 07 35915.
 2000 08 30832·
 2000 09 75812.
 2000 10 62817.
 2000 11 42788.
 2000 12 55734.
 2001 01  74772.
 2001 02  88753.
 2001 03  1804.
 2001 04  60826·
 2001 05  2877·
 2001 06  38922.
 2001 07  49912.
 2001 08  14875.
 2001 09  60786·
 2001 10  45820.
 2001 11  49786.
 2001 12  11721·
 2002 01 74709·
 2002 02 64758·
 2002 03 89813.
 2002 04 72883·
 2002 05 94875·
 2002 06 77938.
 2002 07 82913.
 2002 08 39932·
 2002 09 94934.
 2002 10 91876.
 2002 11 66867·
 2002 12 82844.
 2003 01  77913·
 2003 02  37856.
 2003 03  3828·
 2003 04  96754.
 2003 05  66797.
 2003 06  72879.
 2003 07  82887.
 2003 08  99881·
 2003 09  13894·
 2003 10  78873.
 2003 11  15873·
 2003 12  35808.
 2004 01 92785.
 2004 02 62777·
 2004 03 41793.
 2004 04 74836·
 2004 05 5858.
 2004 06 54841.
 2004 07 22892·
 2004 08 9918·
 2004 09 76835·
 2004 10 13850·
 2004 11 45846·
 2004 12 60791·
 2005 01  56770.
 2005 02  18780·
 2005 03  25800.
 2005 04  72792.
 2005 05  20812.
 2005 06  77832·
 2005 07  99837·
 2005 08  12821·
 2005 09  69787.
 2005 10  22810·
 2005 11  30822·
 2005 12  76787.
 2006 01 28813.
 2006 02 10872.
 2006 03 5871·
 2006 04 82874.
 2006 05 47898.
 2006 06 21868·
 2006 07 37883·
 2006 08 75875·
 2006 09 3851.
 2006 10 62896.
 2006 11 66855·
 2006 12 23895.
 2007 01  94877·
 2007 02  66823.
 2007 03  52779.
 2007 04  21781·
 2007 05  48851.
 2007 06  88847.
 2007 07  85851·
 2007 08  88864·
 2007 09  13842·
 2007 10  11852.
 2007 11  77811.
 2007 12  69777.
 2008 01 66781·
 2008 02 41782.
 2008 03 65787.
 2008 04 31889.
 2008 05 6873.
 2008 06 10878·
 2008 07 14856.
 2008 08 70879.
 2008 09 60833·
 2008 10 74761.
 2008 11 11741·
 2008 12 5733·
 2009 01  78727.
 2009 02  15842·
 2009 03  68860.
 2009 04  79890·
 2009 05  34919.
 2009 06  40924.
 2009 07  24859.
 2009 08  62898.
 2009 09  30850·
 2009 10  80862·
 2009 11  41828·
 2009 12  48801.
 2010 01 90790.
 2010 02 91810.
 2010 03 7826.
 2010 04 56853·
 2010 05 66848·
 2010 06 57861.
 2010 07 36781·
 2010 08 30806.
 2010 09 32869.
 2010 10 82860·
 2010 11 65857·
 2010 12 40851·
 2011 01  90869.
 2011 02  0862.
 2011 03  57823·
 2011 04  79809·
 2011 05  63763.
 2011 06  65746·
 2011 07  0807·
 2011 08  67824.
 2011 09  4845·
 2011 10  61840·
 2011 11  6782·
 2011 12  47807.
 2012 01 86824.
 2012 02 94864.
 2012 03 15842.
 2012 04 90834·
 2012 05 11847.
 2012 06 95795.
 2012 07 88893·
 2012 08 89862·
 2012 09 4885·
 2012 10 21888.
 2012 11 13867·
 2012 12 63830·
 2013 01  15800.
 2013 02  54777·
 2013 03  4762·
 2013 04  56838·
 2013 05  20883·
 2013 06  0912·
 2013 07  98917.
 2013 08  38930.
 2013 09  19892.
 2013 10  91839·
 2013 11  58765.
 2013 12  2825.
 2014 01 37870·
 2014 02 84905·
 2014 03 72941.
 2014 04 68890.
 2014 05 25850·
 2014 06 60824.
 2014 07 53815.
 2014 08 81815.
 2014 09 59848.
 2014 10 25806.
 2014 11 39830.
 2014 12 8776·
 2015 01  38798·
 2015 02  13783.
 2015 03  93930·
 2015 04  44888.
 2015 05  88893·
 2015 06  78846.
 2015 07  2861·
 2015 08  9856.
 2015 09  59871·
 2015 10  3721.
 2015 11  80677.
 2015 12  46706.
 2016 01 28718.
 2016 02 95806.
 2016 03 64864.
 2016 04 25871·
 2016 05 93805·
 2016 06 84839·
 2016 07 17732.
 2016 08 40798.
 2016 09 82814.
 2016 10 29757.
 2016 11 28789.
 2016 12 9767.
 2017 01  43719.


 2017 02  10752·
 2017 03  8800·
 2017 04  78728.
 2017 05  52674·
 2017 06  33739·
 2017 07  97739.
 2017 08  15741·
 2017 09  10779.
 2017 10  32836·
 2017 11  56772·
 2017 12  14719.
 2018 01 43804.
 2018 02 62832.
 2018 03 74867·
 2018 04 95867.
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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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