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 Series Title: Employed: Self-employed Workers, Unincorporated, Real estate and rental and leasing, Women: NSA
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 2012 04 78175·
 2012 03 37187·
 2012 02 64193·
 2012 01 66193.
 2011 12  78214.
 2011 11  35174.
 2011 10  73196.
 2011 09  61201.
 2011 08  45188.
 2011 07  31184.
 2011 06  84189·
 2011 05  54190·
 2011 04  28197·
 2011 03  8209.
 2011 02  9211.
 2011 01  90184·
 2010 12 4205·
 2010 11 71152.
 2010 10 85159·
 2010 09 38136.
 2010 08 72169.
 2010 07 52190·
 2010 06 76193.
 2010 05 92237.
 2010 04 57221·
 2010 03 9199·
 2010 02 69236.
 2010 01 72164·
 2009 12  11162·
 2009 11  22188.
 2009 10  78185.
 2009 09  21189·
 2009 08  9190·
 2009 07  99157·
 2009 06  40143·
 2009 05  8161·
 2009 04  51177.
 2009 03  70205·
 2009 02  18209·
 2009 01  28192.
 2008 12 62198·
 2008 11 93192·
 2008 10 0200·
 2008 09 99206·
 2008 08 94229·
 2008 07 50243·
 2008 06 99206·
 2008 05 67212·
 2008 04 20238·
 2008 03 46222·
 2008 02 53208·
 2008 01 0198.
 2007 12  42191.
 2007 11  14222·
 2007 10  25236·
 2007 09  92252·
 2007 08  85235·
 2007 07  9249.
 2007 06  2248·
 2007 05  62233.
 2007 04  0260·
 2007 03  15275.
 2007 02  98292.
 2007 01  55284.
 2006 12 61255.
 2006 11 37240.
 2006 10 50253·
 2006 09 39220·
 2006 08 70239.
 2006 07 7236.
 2006 06 21278·
 2006 05 9309.
 2006 04 51293.
 2006 03 82279·
 2006 02 0259.
 2006 01 84250.
 2005 12  55235·
 2005 11  44217·
 2005 10  98219·
 2005 09  8197.
 2005 08  57200·
 2005 07  98215.
 2005 06  55217.
 2005 05  51222.
 2005 04  58219·
 2005 03  77235·
 2005 02  32251·
 2005 01  5250·
 2004 12 84218·
 2004 11 37221.
 2004 10 18215·
 2004 09 92204.
 2004 08 84217.
 2004 07 60237·
 2004 06 26267.
 2004 05 53254·
 2004 04 34241.
 2004 03 53209.
 2004 02 93186.
 2004 01 60180.
 2003 12  34191·
 2003 11  47219·
 2003 10  82228.
 2003 09  5231·
 2003 08  10258.
 2003 07  98267.
 2003 06  82251.
 2003 05  9196.
 2003 04  12183·
 2003 03  89172.
 2003 02  5188.
 2003 01  14226.
 2002 12 15224·
 2002 11 27206.
 2002 10 89218·
 2002 09 91180.
 2002 08 21216.
 2002 07 42213.
 2002 06 97198.
 2002 05 34186·
 2002 04 53186.
 2002 03 91194.
 2002 02 17201·
 2002 01 61186.
 2001 12  63179·
 2001 11  57205.
 2001 10  62198.
 2001 09  16193·
 2001 08  27180.
 2001 07  45159·
 2001 06  69169·
 2001 05  70185.
 2001 04  44185.
 2001 03  88196.
 2001 02  2200.
 2001 01  16198.
 2000 12 39161.
 2000 11 41172.
 2000 10 48181.
 2000 09 72196·
 2000 08 64189·
 2000 07 87200.
 2000 06 20234·
 2000 05 84207.
 2000 04 94195·
 2000 03 33177·
 2000 02 57191·
 2000 01 21187.
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: 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, Real estate and rental and leasing, 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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