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 Series Title: Employed: Wage and salary workers, Real estate and rental and leasing, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 71054·
 2000 02 61066.
 2000 03 751051·
 2000 04 741137.
 2000 05 861136·
 2000 06 951225·
 2000 07 891178·
 2000 08 851183.
 2000 09 811133·
 2000 10 331080·
 2000 11 541072·
 2000 12 451041.
 2001 01  441016.
 2001 02  11079·
 2001 03  821127·
 2001 04  981101.
 2001 05  481220.
 2001 06  51211·
 2001 07  131207·
 2001 08  121194·
 2001 09  951145·
 2001 10  781097.
 2001 11  71112·
 2001 12  831149·
 2002 01 91179·
 2002 02 761180.
 2002 03 551204.
 2002 04 281198.
 2002 05 421267·
 2002 06 811255.
 2002 07 671123·
 2002 08 941097.
 2002 09 691126.
 2002 10 991101·
 2002 11 831118.
 2002 12 471098·
 2003 01  901105.
 2003 02  611140·
 2003 03  651136·
 2003 04  841166·
 2003 05  301169.
 2003 06  261225.
 2003 07  11221.
 2003 08  221162·
 2003 09  401156·
 2003 10  741079·
 2003 11  41114·
 2003 12  61167.
 2004 01 961108·
 2004 02 111170·
 2004 03 121162.
 2004 04 51176·
 2004 05 971198.
 2004 06 701197·
 2004 07 881240·
 2004 08 131212.
 2004 09 691224.
 2004 10 81287·
 2004 11 191232.
 2004 12 501202.
 2005 01  621218.
 2005 02  51230·
 2005 03  181262.
 2005 04  591371.
 2005 05  521252.
 2005 06  681222.
 2005 07  241267·
 2005 08  101275·
 2005 09  401343.
 2005 10  301405·
 2005 11  991401.
 2005 12  961366.
 2006 01 501310.
 2006 02 461326.
 2006 03 321368.
 2006 04 381364·
 2006 05 331398·
 2006 06 991384·
 2006 07 341347·
 2006 08 781287·
 2006 09 641271.
 2006 10 951310·
 2006 11 451338·
 2006 12 871335.
 2007 01  441287.
 2007 02  651303·
 2007 03  261340.
 2007 04  581280·
 2007 05  981341.
 2007 06  661356·
 2007 07  661284.
 2007 08  111266·
 2007 09  771246.
 2007 10  811165·
 2007 11  771208·
 2007 12  891302.
 2008 01 561182.
 2008 02 151197·
 2008 03 981236·
 2008 04 621258.
 2008 05 351179·
 2008 06 01144.
 2008 07 921135.
 2008 08 231079.
 2008 09 401120·
 2008 10 931162·
 2008 11 461160.
 2008 12 931144·
 2009 01  211121.
 2009 02  761133.
 2009 03  721098.
 2009 04  151048.
 2009 05  531056·
 2009 06  551074.
 2009 07  101193·
 2009 08  591162·
 2009 09  371090.
 2009 10  611021·
 2009 11  221021.
 2009 12  171073·
 2010 01 991120·
 2010 02 521180.
 2010 03 961178.
 2010 04 111170.
 2010 05 881154·
 2010 06 91101.
 2010 07 451137.
 2010 08 831030·
 2010 09 801057.
 2010 10 391050·
 2010 11 61026·
 2010 12 31052·
 2011 01  761044·
 2011 02  731094.
 2011 03  421115·
 2011 04  651157·
 2011 05  11142.
 2011 06  681171·
 2011 07  431128·
 2011 08  881126·
 2011 09  51074·
 2011 10  51166·
 2011 11  191142.
 2011 12  171106·
 2012 01 631136.
 2012 02 921061.
 2012 03 91059.
 2012 04 201066.
 2012 05 761069·
 2012 06 601066·
 2012 07 771068·
 2012 08 911131·
 2012 09 701145·
 2012 10 651116.
 2012 11 101175·
 2012 12 511138·
 2013 01  951087.
 2013 02  891131.
 2013 03  201176·
 2013 04  421133.
 2013 05  261135.
 2013 06  391126.
 2013 07  461069.
 2013 08  341106.
 2013 09  631111·
 2013 10  471058·
 2013 11  511134·
 2013 12  211111.
 2014 01 321149·
 2014 02 691200.
 2014 03 231265·
 2014 04 231256·
 2014 05 841236·
 2014 06 861204.
 2014 07 741185.
 2014 08 831159·
 2014 09 941030.
 2014 10 6986·
 2014 11 421076·
 2014 12 701119.
 2015 01  611172·
 2015 02  601271·
 2015 03  901266·
 2015 04  801306.
 2015 05  121285·
 2015 06  41268·
 2015 07  61216.
 2015 08  301160.
 2015 09  971182.
 2015 10  211109.
 2015 11  41165.
 2015 12  651239·
 2016 01 921162·
 2016 02 171219.
 2016 03 201263·
 2016 04 541378·
 2016 05 961420·
 2016 06 231417.
 2016 07 181347.
 2016 08 921208·
 2016 09 351168·
 2016 10 971097.
 2016 11 861149·
 2016 12 971050·
 2017 01  591220.
 2017 02  191250.
 2017 03  361229·
 2017 04  131330·
 2017 05  451383·
 2017 06  971334·
 2017 07  71312·


 2017 08  101286·
 2017 09  911190.
 2017 10  621181·
 2017 11  611221.
 2017 12  821266·
 2018 01 251308·
 2018 02 711296.
 2018 03 861298·
 2018 04 481313·
 2018 05 951381.
 2018 06 51310·
 2018 07 961297.
 2018 08 521249·
 2018 09 781254.
 2018 10 711260.
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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: Wage and salary workers, 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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