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 Series Title: Employed: Self-employed Workers, Unincorporated, Health service, except hospitals, Women: NSA
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 2000 01 30198.
 2000 02 24134·
 2000 03 60152.
 2000 04 80172·
 2000 05 46163.
 2000 06 27161.
 2000 07 89168.
 2000 08 33142·
 2000 09 35165·
 2000 10 34172·
 2000 11 26136·
 2000 12 90130·
 2001 01  47133.
 2001 02  29134.
 2001 03  82140.
 2001 04  97144.
 2001 05  57143.
 2001 06  16184·
 2001 07  96205.
 2001 08  22196·
 2001 09  67191.
 2001 10  27204.
 2001 11  31179·
 2001 12  60155·
 2002 01 0145·
 2002 02 20149·
 2002 03 75178·
 2002 04 29171·
 2002 05 7198·
 2002 06 76220.
 2002 07 41213·
 2002 08 73221.
 2002 09 65200·
 2002 10 2203·
 2002 11 66179·
 2002 12 63218·
 2003 01  73258·
 2003 02  28214.
 2003 03  13212.
 2003 04  91188.
 2003 05  57203·
 2003 06  13241·
 2003 07  71244.
 2003 08  77255.
 2003 09  67264·
 2003 10  37226.
 2003 11  51225.
 2003 12  66192.
 2004 01 78185·
 2004 02 7169.
 2004 03 93179.
 2004 04 25208·
 2004 05 91233·
 2004 06 55258·
 2004 07 59242.
 2004 08 51249.
 2004 09 32230.
 2004 10 37198·
 2004 11 37182·
 2004 12 60207.
 2005 01  50182·
 2005 02  36196·
 2005 03  39205.
 2005 04  99222·
 2005 05  21213·
 2005 06  57203.
 2005 07  4195.
 2005 08  35159.
 2005 09  45166·
 2005 10  32187·
 2005 11  95172.
 2005 12  64202·
 2006 01 49219.
 2006 02 18223.
 2006 03 99227.
 2006 04 3195·
 2006 05 82217.
 2006 06 97241.
 2006 07 29256·
 2006 08 98274.
 2006 09 19257·
 2006 10 75231·
 2006 11 24176.
 2006 12 18226·
 2007 01  61229·
 2007 02  84230.
 2007 03  45209.
 2007 04  56202·
 2007 05  34225·
 2007 06  81214·
 2007 07  82235·
 2007 08  31252·
 2007 09  88231·
 2007 10  47258·
 2007 11  46187.
 2007 12  89200·
 2008 01 97189.
 2008 02 88172.
 2008 03 76203.
 2008 04 97197.
 2008 05 64190.
 2008 06 38218·
 2008 07 35204·
 2008 08 51198·
 2008 09 12186.
 2008 10 51176·
 2008 11 10154.
 2008 12 69182.
 2009 01  92202·
 2009 02  10215·
 2009 03  15220·
 2009 04  95200.
 2009 05  81225.
 2009 06  21247·
 2009 07  87211.
 2009 08  99246.
 2009 09  77202.
 2009 10  16227·
 2009 11  89223·
 2009 12  75184·
 2010 01 7208.
 2010 02 52198·
 2010 03 10230·
 2010 04 42215·
 2010 05 21209.
 2010 06 10221·
 2010 07 61214.
 2010 08 43237·
 2010 09 94246.
 2010 10 97256·
 2010 11 81224.
 2010 12 49222·
 2011 01  27227.
 2011 02  45230·
 2011 03  33238·
 2011 04  53206.
 2011 05  45229·
 2011 06  10223·
 2011 07  5267·
 2011 08  74264.
 2011 09  99257.
 2011 10  74252.
 2011 11  9236.
 2011 12  57247·
 2012 01 63235.
 2012 02 43250·
 2012 03 84250·
 2012 04 71229·
 2012 05 39247.
 2012 06 49224.
 2012 07 92232·
 2012 08 9248·
 2012 09 51258·
 2012 10 50264.
 2012 11 21253.
 2012 12 92259·
 2013 01  50248·
 2013 02  25228.
 2013 03  84204.
 2013 04  62271.
 2013 05  12269·
 2013 06  83282·
 2013 07  20296·
 2013 08  90294·
 2013 09  37265·
 2013 10  54267·
 2013 11  90219.
 2013 12  69246·
 2014 01 50252·
 2014 02 96272.
 2014 03 83309·
 2014 04 19289.
 2014 05 1279·
 2014 06 90269·
 2014 07 11234·
 2014 08 83241·
 2014 09 66263·
 2014 10 42237·
 2014 11 14270·
 2014 12 31270·
 2015 01  46302.
 2015 02  85278·
 2015 03  52327.
 2015 04  58253.
 2015 05  66272.
 2015 06  74273·
 2015 07  15264·
 2015 08  81290·
 2015 09  75288.
 2015 10  93238·
 2015 11  16233.
 2015 12  45246·
 2016 01 51268.
 2016 02 46277·
 2016 03 91265.
 2016 04 20254·
 2016 05 92218·
 2016 06 66217·
 2016 07 4192.
 2016 08 0249·
 2016 09 25273.
 2016 10 9247.
 2016 11 44258·
 2016 12 3268.
 2017 01  99229.
 2017 02  58226.
 2017 03  22278·
 2017 04  74277·
 2017 05  90232.
 2017 06  19242·
 2017 07  77229·
 2017 08  82247.
 2017 09  99273·


 2017 10  22241.
 2017 11  71229.
 2017 12  20261.
 2018 01 51275.
 2018 02 26298·
 2018 03 93274·
 2018 04 10293.
 2018 05 96311·
 2018 06 12253.
 2018 07 55246.
 2018 08 93240·
 2018 09 10278·
 2018 10 85302.
 2018 11 96294.
 2018 12 40272·
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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

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