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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 6767.
 2000 02 3165.
 2000 03 884·
 2000 04 3263.
 2000 05 6153·
 2000 06 5485·
 2000 07 7573·
 2000 08 1572.
 2000 09 4751·
 2000 10 165·
 2000 11 6774·
 2000 12 2181·
 2001 01  7476·
 2001 02  5368.
 2001 03  9952.
 2001 04  9571·
 2001 05  1960.
 2001 06  1692·
 2001 07  787·
 2001 08  686·
 2001 09  8172·
 2001 10  2372·
 2001 11  5463·
 2001 12  4864.
 2002 01 8694.
 2002 02 3092·
 2002 03 2996·
 2002 04 40111.
 2002 05 84108·
 2002 06 19133·
 2002 07 45109·
 2002 08 27107.
 2002 09 5182.
 2002 10 96105·
 2002 11 38113·
 2002 12 7796·
 2003 01  87101.
 2003 02  9366·
 2003 03  73119.
 2003 04  8585·
 2003 05  1787·
 2003 06  66130·
 2003 07  3797.
 2003 08  70101.
 2003 09  93107.
 2003 10  98111·
 2003 11  42121.
 2003 12  7588·
 2004 01 88126.
 2004 02 9593·
 2004 03 2899.
 2004 04 71111.
 2004 05 485.
 2004 06 88136·
 2004 07 56100.
 2004 08 5097·
 2004 09 67125.
 2004 10 34104·
 2004 11 15102.
 2004 12 3472.
 2005 01  2585·
 2005 02  1581·
 2005 03  1789·
 2005 04  6496·
 2005 05  5698.
 2005 06  3898.
 2005 07  190.
 2005 08  11100.
 2005 09  5967.
 2005 10  3399·
 2005 11  2994.
 2005 12  7067.
 2006 01 59100·
 2006 02 5889.
 2006 03 8985.
 2006 04 5778.
 2006 05 786·
 2006 06 9594·
 2006 07 9493.
 2006 08 1980·
 2006 09 79100·
 2006 10 5048·
 2006 11 8291·
 2006 12 2599·
 2007 01  74101.
 2007 02  54124·
 2007 03  16119.
 2007 04  6764.
 2007 05  1885·
 2007 06  6576.
 2007 07  8499·
 2007 08  66133.
 2007 09  63112.
 2007 10  63109·
 2007 11  9883·
 2007 12  6693·
 2008 01 8161.
 2008 02 56114·
 2008 03 97110·
 2008 04 35103·
 2008 05 76121·
 2008 06 75144.
 2008 07 43117.
 2008 08 69122·
 2008 09 71100·
 2008 10 77114.
 2008 11 25173.
 2008 12 85205.
 2009 01  17188.
 2009 02  44244.
 2009 03  54241·
 2009 04  28199.
 2009 05  90201.
 2009 06  82159·
 2009 07  70181·
 2009 08  68161·
 2009 09  89203·
 2009 10  22222.
 2009 11  35208·
 2009 12  98235.
 2010 01 41203·
 2010 02 22176·
 2010 03 36196·
 2010 04 38209.
 2010 05 95167.
 2010 06 63196.
 2010 07 88174·
 2010 08 32193.
 2010 09 28150.
 2010 10 52154.
 2010 11 26184.
 2010 12 49205.
 2011 01  39213·
 2011 02  20202.
 2011 03  16216.
 2011 04  82224·
 2011 05  54207·
 2011 06  23208·
 2011 07  44194·
 2011 08  52174·
 2011 09  23120·
 2011 10  45146·
 2011 11  23163·
 2011 12  2191·
 2012 01 21198.
 2012 02 91210·
 2012 03 91207·
 2012 04 1172.
 2012 05 50159.
 2012 06 92172·
 2012 07 11145·
 2012 08 44148.
 2012 09 34130.
 2012 10 7153.
 2012 11 72137.
 2012 12 50132.
 2013 01  24204.
 2013 02  15176·
 2013 03  85148·
 2013 04  63140·
 2013 05  95117·
 2013 06  24157·
 2013 07  89160.
 2013 08  51135·
 2013 09  48144.
 2013 10  66144.
 2013 11  47148·
 2013 12  10127.
 2014 01 7109.
 2014 02 96160·
 2014 03 46159.
 2014 04 58166.
 2014 05 24138.
 2014 06 9893·
 2014 07 9956.
 2014 08 4068.
 2014 09 7486·
 2014 10 77108.
 2014 11 45107·
 2014 12 24117.
 2015 01  57119.
 2015 02  65114.
 2015 03  4675·
 2015 04  485·
 2015 05  9878·
 2015 06  1870·
 2015 07  9075·
 2015 08  193·
 2015 09  4876·
 2015 10  1975.
 2015 11  9199·
 2015 12  5878.
 2016 01 83105·
 2016 02 74100·
 2016 03 8593·
 2016 04 4364.
 2016 05 229·
 2016 06 1444.
 2016 07 3576·
 2016 08 5298.
 2016 09 31156.
 2016 10 96144.
 2016 11 31147·
 2016 12 4113·
 2017 01  21115.
 2017 02  3104·
 2017 03  8463.
 2017 04  4269.
 2017 05  4776.
 2017 06  40103.
 2017 07  3277.
 2017 08  3563.
 2017 09  951.


 2017 10  3966.
 2017 11  3983·
 2017 12  7954·
 2018 01 3273·
 2018 02 5667.
 2018 03 9267·
 2018 04 9154.
 2018 05 6849·
 2018 06 7573.
 2018 07 484·
 2018 08 1799·
 2018 09 9191·
 2018 10 070·
 2018 11 1473·
 2018 12 25119·
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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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