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 Series Title: Unemployment Level: Nonagricultural Private Wage and Salary Workers, Real Estate and Rental and Leasing: NSA
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 2000 01 8567·
 2000 02 6865·
 2000 03 7784·
 2000 04 7163·
 2000 05 3553.
 2000 06 5285.
 2000 07 1173·
 2000 08 2872.
 2000 09 151.
 2000 10 8565.
 2000 11 9674·
 2000 12 3381·
 2001 01  3376.
 2001 02  4868.
 2001 03  4552.
 2001 04  3071.
 2001 05  860.
 2001 06  4892.
 2001 07  9587·
 2001 08  9086.
 2001 09  2572·
 2001 10  1672·
 2001 11  1063.
 2001 12  664·
 2002 01 1094.
 2002 02 1092·
 2002 03 7896.
 2002 04 97111·
 2002 05 13108.
 2002 06 10133·
 2002 07 11109·
 2002 08 8107.
 2002 09 1082.
 2002 10 23105·
 2002 11 47113.
 2002 12 796.
 2003 01  1101·
 2003 02  8166·
 2003 03  49119.
 2003 04  8885·
 2003 05  1287·
 2003 06  41130·
 2003 07  697·
 2003 08  72101.
 2003 09  92107.
 2003 10  84111.
 2003 11  29121·
 2003 12  188.
 2004 01 18126·
 2004 02 1793.
 2004 03 5799·
 2004 04 45111.
 2004 05 8985·
 2004 06 71136.
 2004 07 53100.
 2004 08 9997.
 2004 09 31125·
 2004 10 4104·
 2004 11 4102.
 2004 12 8172·
 2005 01  9585·
 2005 02  9681·
 2005 03  2489.
 2005 04  3696.
 2005 05  5698.
 2005 06  5598·
 2005 07  5090.
 2005 08  32100·
 2005 09  1367.
 2005 10  1299.
 2005 11  4694·
 2005 12  6367·
 2006 01 94100·
 2006 02 2489.
 2006 03 9985.
 2006 04 5078·
 2006 05 4786.
 2006 06 7294·
 2006 07 2193.
 2006 08 3680.
 2006 09 49100.
 2006 10 6348·
 2006 11 5291·
 2006 12 9099·
 2007 01  99101.
 2007 02  28124·
 2007 03  54119·
 2007 04  664·
 2007 05  2485·
 2007 06  2576.
 2007 07  1499.
 2007 08  4133·
 2007 09  73112·
 2007 10  35109·
 2007 11  4683.
 2007 12  2893.
 2008 01 2261.
 2008 02 64114·
 2008 03 87110.
 2008 04 46103.
 2008 05 71121·
 2008 06 45144·
 2008 07 1117·
 2008 08 53122·
 2008 09 47100·
 2008 10 33114·
 2008 11 75173.
 2008 12 68205.
 2009 01  98188·
 2009 02  11244.
 2009 03  22241.
 2009 04  36199·
 2009 05  0201.
 2009 06  85159.
 2009 07  80181.
 2009 08  24161·
 2009 09  55203.
 2009 10  87222·
 2009 11  13208.
 2009 12  28235·
 2010 01 87203·
 2010 02 73176.
 2010 03 7196·
 2010 04 67209.
 2010 05 46167.
 2010 06 26196.
 2010 07 76174·
 2010 08 85193.
 2010 09 9150·
 2010 10 50154·
 2010 11 57184.
 2010 12 50205·
 2011 01  75213·
 2011 02  80202.
 2011 03  14216·
 2011 04  57224.
 2011 05  70207.
 2011 06  70208·
 2011 07  34194·
 2011 08  26174·
 2011 09  44120.
 2011 10  3146·
 2011 11  31163·
 2011 12  0191.
 2012 01 73198·
 2012 02 85210.
 2012 03 42207·
 2012 04 48172.
 2012 05 57159.
 2012 06 48172·
 2012 07 30145·
 2012 08 65148.
 2012 09 21130·
 2012 10 48153·
 2012 11 83137·
 2012 12 69132·
 2013 01  16204·
 2013 02  68176·
 2013 03  14148.
 2013 04  6140·
 2013 05  17117·
 2013 06  14157.
 2013 07  60160·
 2013 08  43135.
 2013 09  24144.
 2013 10  17144·
 2013 11  85148·
 2013 12  76127·
 2014 01 64109·
 2014 02 34160.
 2014 03 77159.
 2014 04 23166·
 2014 05 86138·
 2014 06 4693·
 2014 07 4856·
 2014 08 2868·
 2014 09 6686·
 2014 10 61108.
 2014 11 37107·
 2014 12 61117.
 2015 01  4119·
 2015 02  11114.
 2015 03  575·
 2015 04  1685·
 2015 05  2578·
 2015 06  5070.
 2015 07  4275·
 2015 08  1193.
 2015 09  8076·
 2015 10  6375.
 2015 11  6099·
 2015 12  9178.
 2016 01 45105.
 2016 02 54100.
 2016 03 9693·
 2016 04 2664·
 2016 05 1929·
 2016 06 5544.
 2016 07 1576.
 2016 08 998·
 2016 09 29156·
 2016 10 24144.
 2016 11 3147.
 2016 12 59113.
 2017 01  24115·
 2017 02  42104·
 2017 03  7463.
 2017 04  2169·
 2017 05  8076.
 2017 06  15103·
 2017 07  6577·


 2017 08  6363.
 2017 09  9751.
 2017 10  7566.
 2017 11  3983.
 2017 12  8154·
 2018 01 073·
 2018 02 8067.
 2018 03 8567.
 2018 04 9254.
 2018 05 4149.
 2018 06 973.
 2018 07 1484.
 2018 08 4299·
 2018 09 9491·
 2018 10 7170·
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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: Unemployment Level: Nonagricultural Private Wage and Salary Workers, Real Estate and Rental and Leasing: 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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