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 Series Title: Employed: Real estate and rental and leasing, Black or African American: NSA
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 2000 01 74267.
 2000 02 1260·
 2000 03 31305.
 2000 04 16248·
 2000 05 34252·
 2000 06 64246·
 2000 07 85224.
 2000 08 10232·
 2000 09 30233·
 2000 10 93266.
 2000 11 9259·
 2000 12 71292·
 2001 01  11271·
 2001 02  72249.
 2001 03  16265.
 2001 04  44242.
 2001 05  52237.
 2001 06  6250·
 2001 07  43225.
 2001 08  97225.
 2001 09  55238·
 2001 10  27224·
 2001 11  53239·
 2001 12  26244·
 2002 01 45237·
 2002 02 92268·
 2002 03 35231.
 2002 04 48223·
 2002 05 72251.
 2002 06 83214.
 2002 07 0226.
 2002 08 8200·
 2002 09 11213·
 2002 10 6222·
 2002 11 88252.
 2002 12 76243·
 2003 01  63236·
 2003 02  92238.
 2003 03  60249·
 2003 04  45241.
 2003 05  53223.
 2003 06  98232·
 2003 07  6217·
 2003 08  35238·
 2003 09  31233.
 2003 10  7268·
 2003 11  37298·
 2003 12  89318·
 2004 01 74233.
 2004 02 24238.
 2004 03 91221.
 2004 04 77179·
 2004 05 81200.
 2004 06 82191·
 2004 07 32264·
 2004 08 93265.
 2004 09 78282·
 2004 10 36344.
 2004 11 48282·
 2004 12 56280·
 2005 01  15271.
 2005 02  69279.
 2005 03  50263.
 2005 04  10268·
 2005 05  68228.
 2005 06  87221·
 2005 07  78263·
 2005 08  25280·
 2005 09  37293·
 2005 10  22293.
 2005 11  94318·
 2005 12  94352.
 2006 01 46339·
 2006 02 30345.
 2006 03 86344·
 2006 04 37312·
 2006 05 48337·
 2006 06 94337·
 2006 07 66260·
 2006 08 98241·
 2006 09 17236.
 2006 10 19289.
 2006 11 73326.
 2006 12 46341·
 2007 01  53316.
 2007 02  38257.
 2007 03  70291·
 2007 04  75269.
 2007 05  82300.
 2007 06  6316·
 2007 07  44272.
 2007 08  4270.
 2007 09  55308·
 2007 10  7288·
 2007 11  9264.
 2007 12  77285.
 2008 01 46241·
 2008 02 45244.
 2008 03 2271·
 2008 04 64301·
 2008 05 56302·
 2008 06 54308.
 2008 07 86241·
 2008 08 58300.
 2008 09 11320.
 2008 10 89328.
 2008 11 49306.
 2008 12 80254.
 2009 01  60232.
 2009 02  33229.
 2009 03  3242.
 2009 04  72207.
 2009 05  80231.
 2009 06  91272·
 2009 07  88227.
 2009 08  4263.
 2009 09  71264·
 2009 10  96249·
 2009 11  66250.
 2009 12  71255.
 2010 01 57242.
 2010 02 4251.
 2010 03 24235·
 2010 04 91213.
 2010 05 90192·
 2010 06 97193·
 2010 07 75203·
 2010 08 8217.
 2010 09 45227.
 2010 10 81248.
 2010 11 58246·
 2010 12 92241·
 2011 01  22210.
 2011 02  88288·
 2011 03  35269·
 2011 04  37261·
 2011 05  46256·
 2011 06  75236·
 2011 07  95227·
 2011 08  61271.
 2011 09  68292·
 2011 10  23288.
 2011 11  49293·
 2011 12  10312.
 2012 01 64289·
 2012 02 40269·
 2012 03 36274.
 2012 04 52259·
 2012 05 34267·
 2012 06 56273·
 2012 07 20200·
 2012 08 81236·
 2012 09 3254.
 2012 10 28230·
 2012 11 87297·
 2012 12 17306.
 2013 01  21252·
 2013 02  38272.
 2013 03  50247·
 2013 04  3245·
 2013 05  64300.
 2013 06  93262·
 2013 07  48245·
 2013 08  9303.
 2013 09  33297.
 2013 10  24255·
 2013 11  43248.
 2013 12  29214·
 2014 01 52195.
 2014 02 88237·
 2014 03 24249·
 2014 04 82192·
 2014 05 72200.
 2014 06 66269·
 2014 07 3267.
 2014 08 13307.
 2014 09 69262·
 2014 10 66206.
 2014 11 18239.
 2014 12 89259·
 2015 01  43266.
 2015 02  18288·
 2015 03  32261.
 2015 04  6257.
 2015 05  19228.
 2015 06  79285·
 2015 07  33330.
 2015 08  83313.
 2015 09  47337.
 2015 10  32297.
 2015 11  33230.
 2015 12  63265.
 2016 01 4253·
 2016 02 82304·
 2016 03 71338.
 2016 04 16369.
 2016 05 89312.
 2016 06 62306·
 2016 07 10289·
 2016 08 37348·
 2016 09 28367.
 2016 10 28357·
 2016 11 37378·
 2016 12 43338·
 2017 01  72322.
 2017 02  61289·
 2017 03  65296.
 2017 04  80348·
 2017 05  94353.
 2017 06  68360.
 2017 07  33311·


 2017 08  16352.
 2017 09  97366.
 2017 10  82358.
 2017 11  2354·
 2017 12  46346.
 2018 01 6368.
 2018 02 58347.
 2018 03 62327·
 2018 04 88338·
 2018 05 70381.
 2018 06 78406.
 2018 07 24363·
 2018 08 88315·
 2018 09 65313.
 2018 10 49240·
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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, Black or African American: 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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