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 Series Title: Number Unemployed for Less than 5 Weeks, Mining, quarrying, and oil and gas extraction: NSA
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 2000 01 5818.
 2000 02 6010.
 2000 03 259·
 2000 04 906.
 2000 05 223.
 2000 06 877·
 2000 07 529·
 2000 08 176·
 2000 09 609.
 2000 10 188.
 2000 11 872·
 2000 12 487·
 2001 01  205·
 2001 02  3513·
 2001 03  423·
 2001 04  2811.
 2001 05  7917.
 2001 06  4616.
 2001 07  5415.
 2001 08  273.
 2001 09  363.
 2001 10  8114·
 2001 11  889·
 2001 12  3810·
 2002 01 1811.
 2002 02 985·
 2002 03 308.
 2002 04 8011.
 2002 05 743.
 2002 06 7713.
 2002 07 946·
 2002 08 989.
 2002 09 8019.
 2002 10 2611·
 2002 11 189.
 2002 12 6118·
 2003 01  3720·
 2003 02  7615.
 2003 03  639.
 2003 04  638·
 2003 05  6917·
 2003 06  845·
 2003 07  198.
 2003 08  225.
 2003 09  2710·
 2003 10  317.
 2003 11  99
 2003 12  843.
 2004 01 8710·
 2004 02 25
 2004 03 397.
 2004 04 1713·
 2004 05 4811·
 2004 06 9614·
 2004 07 315.
 2004 08 162.
 2004 09 377·
 2004 10 25.
 2004 11 79
 2004 12 996.
 2005 01  417.
 2005 02  2412·
 2005 03  804·
 2005 04  113·
 2005 05  234.
 2005 06  685·
 2005 07  445·
 2005 08  213.
 2005 09  967·
 2005 10  671.
 2005 11  336·
 2005 12  2318·
 2006 01 489.
 2006 02 776·
 2006 03 350·
 2006 04 366.
 2006 05 3010.
 2006 06 7917·
 2006 07 6410·
 2006 08 417.
 2006 09 158.
 2006 10 816·
 2006 11 5711·
 2006 12 9716.
 2007 01  612·
 2007 02  1317.
 2007 03  776·
 2007 04  97.
 2007 05  2718·
 2007 06  338·
 2007 07  127·
 2007 08  583·
 2007 09  2912·
 2007 10  230·
 2007 11  7412.
 2007 12  897.
 2008 01 879.
 2008 02 883.
 2008 03 314·
 2008 04 7115.
 2008 05 212.
 2008 06 6011·
 2008 07 600·
 2008 08 9810.
 2008 09 9911·
 2008 10 978·
 2008 11 3410·
 2008 12 8929.
 2009 01  2835.
 2009 02  7928.
 2009 03  3733.
 2009 04  8920.
 2009 05  6516.
 2009 06  1412.
 2009 07  829·
 2009 08  679·
 2009 09  1012.
 2009 10  3214.
 2009 11  814·
 2009 12  1615·
 2010 01 8821.
 2010 02 9213·
 2010 03 278.
 2010 04 565.
 2010 05 509·
 2010 06 732.
 2010 07 7716·
 2010 08 3115·
 2010 09 7211·
 2010 10 8422.
 2010 11 9616.
 2010 12 1012·
 2011 01  538.
 2011 02  553.
 2011 03  4615.
 2011 04  872.
 2011 05  20
 2011 06  4312·
 2011 07  167·
 2011 08  826.
 2011 09  2219·
 2011 10  3117.
 2011 11  1914.
 2011 12  3816.
 2012 01 3526·
 2012 02 2314·
 2012 03 9213.
 2012 04 258·
 2012 05 5918·
 2012 06 5315.
 2012 07 9834.
 2012 08 3717.
 2012 09 1915.
 2012 10 7725.
 2012 11 2620·
 2012 12 9313·
 2013 01  6731·
 2013 02  764·
 2013 03  8815·
 2013 04  3719·
 2013 05  7719·
 2013 06  5715.
 2013 07  2123.
 2013 08  3821.
 2013 09  5015·
 2013 10  5227.
 2013 11  9017.
 2013 12  917.
 2014 01 1228.
 2014 02 1731·
 2014 03 8113.
 2014 04 1410.
 2014 05 113.
 2014 06 344.
 2014 07 920.
 2014 08 5223·
 2014 09 2523·
 2014 10 1012.
 2014 11 9
 2014 12 7321.


 2015 01  5322·
 2015 02  7644·
 2015 03  4641·
 2015 04  7356.
 2015 05  2113·
 2015 06  8928.
 2015 07  826.
 2015 08  7024.
 2015 09  8025.
 2015 10  3120·
 2015 11  726.
 2015 12  841.
 2016 01 320.
 2016 02 733·
 2016 03 8019.
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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: Number Unemployed for Less than 5 Weeks, Mining, quarrying, and oil and gas extraction: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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