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 Series Title: Employed: Real estate and rental and leasing, Asian: NSA
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 2000 01 7484·
 2000 02 6593.
 2000 03 48104.
 2000 04 7398·
 2000 05 18110.
 2000 06 62130.
 2000 07 8693.
 2000 08 1109.
 2000 09 9889·
 2000 10 26102.
 2000 11 95112.
 2000 12 97117·
 2001 01  63119·
 2001 02  40104·
 2001 03  86129·
 2001 04  4126.
 2001 05  89113·
 2001 06  8117.
 2001 07  97100.
 2001 08  9283.
 2001 09  7772·
 2001 10  6484.
 2001 11  9289.
 2001 12  5483.
 2002 01 51124·
 2002 02 6396·
 2002 03 58103·
 2002 04 11104.
 2002 05 6265·
 2002 06 88102.
 2002 07 865·
 2002 08 684.
 2002 09 8587.
 2002 10 4568.
 2002 11 8073.
 2002 12 884.
 2003 01  2278·
 2003 02  6695·
 2003 03  3785.
 2003 04  1177.
 2003 05  9672·
 2003 06  774·
 2003 07  6674.
 2003 08  3594.
 2003 09  5976.
 2003 10  4970.
 2003 11  8279·
 2003 12  2495.
 2004 01 8683.
 2004 02 1117·
 2004 03 21103·
 2004 04 4698.
 2004 05 7894.
 2004 06 9367.
 2004 07 4672.
 2004 08 9665.
 2004 09 5981.
 2004 10 8289·
 2004 11 46102.
 2004 12 94111·
 2005 01  81123·
 2005 02  49109.
 2005 03  33118.
 2005 04  83129.
 2005 05  18111.
 2005 06  1103·
 2005 07  45103·
 2005 08  3295.
 2005 09  7072·
 2005 10  7187·
 2005 11  4593·
 2005 12  35111·
 2006 01 65130·
 2006 02 13129·
 2006 03 21154·
 2006 04 13160·
 2006 05 51170·
 2006 06 11151.
 2006 07 86135.
 2006 08 897·
 2006 09 497.
 2006 10 71117.
 2006 11 77115·
 2006 12 90143.
 2007 01  25164·
 2007 02  24154·
 2007 03  59173·
 2007 04  53145·
 2007 05  3899·
 2007 06  27127.
 2007 07  17115.
 2007 08  16149·
 2007 09  95142·
 2007 10  62139·
 2007 11  66134·
 2007 12  24125.
 2008 01 71114·
 2008 02 35123.
 2008 03 43120.
 2008 04 45115.
 2008 05 65117.
 2008 06 7888.
 2008 07 1277·
 2008 08 7482·
 2008 09 486.
 2008 10 47109·
 2008 11 59112.
 2008 12 30110·
 2009 01  3895.
 2009 02  25115·
 2009 03  98120·
 2009 04  57122.
 2009 05  42110·
 2009 06  1899·
 2009 07  67105.
 2009 08  2397.
 2009 09  1796·
 2009 10  5785·
 2009 11  2982.
 2009 12  2485·
 2010 01 88112.
 2010 02 9989.
 2010 03 7288.
 2010 04 78103·
 2010 05 586.
 2010 06 27101·
 2010 07 8107.
 2010 08 30105·
 2010 09 4490·
 2010 10 4592.
 2010 11 75106·
 2010 12 4896·
 2011 01  5109·
 2011 02  87142·
 2011 03  37104·
 2011 04  28127.
 2011 05  14117·
 2011 06  8103·
 2011 07  80109.
 2011 08  87121.
 2011 09  21101.
 2011 10  9199·
 2011 11  19101·
 2011 12  7086·
 2012 01 189.
 2012 02 42104.
 2012 03 91102.
 2012 04 46132.
 2012 05 55145.
 2012 06 92125·
 2012 07 58131·
 2012 08 10138·
 2012 09 8112·
 2012 10 9997·
 2012 11 10100.
 2012 12 80102·
 2013 01  1197.
 2013 02  43106·
 2013 03  57120·
 2013 04  1166.
 2013 05  39138·
 2013 06  33119.
 2013 07  40117·
 2013 08  4187·
 2013 09  9291.
 2013 10  9885.
 2013 11  2093·
 2013 12  9599·
 2014 01 9591.
 2014 02 96112.
 2014 03 85109.
 2014 04 83120·
 2014 05 0105·
 2014 06 9118·
 2014 07 4893.
 2014 08 4791·
 2014 09 81112·
 2014 10 43117·
 2014 11 47123·
 2014 12 58104·
 2015 01  39106·
 2015 02  2996.
 2015 03  45121·
 2015 04  10114.
 2015 05  0124·
 2015 06  25143·
 2015 07  31109.
 2015 08  21150·
 2015 09  13140·
 2015 10  12130.
 2015 11  15141.
 2015 12  35140.
 2016 01 54136·
 2016 02 97136·
 2016 03 38103·
 2016 04 23110·
 2016 05 23121.
 2016 06 11147.
 2016 07 61161.
 2016 08 78169.
 2016 09 47115·
 2016 10 11119.
 2016 11 72127·
 2016 12 18117.
 2017 01  74143.
 2017 02  78136·
 2017 03  85145.
 2017 04  90145·
 2017 05  82133.
 2017 06  20140.
 2017 07  37136.
 2017 08  60143·
 2017 09  69115·


 2017 10  68125.
 2017 11  91124.
 2017 12  24114·
 2018 01 61135.
 2018 02 78160·
 2018 03 35226·
 2018 04 1217·
 2018 05 10207.
 2018 06 33206.
 2018 07 82177·
 2018 08 35163·
 2018 09 90158·
 2018 10 38139·
 2018 11 69136.
 2018 12 94136·
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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: Real estate and rental and leasing, Asian: 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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