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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 8718.
 2000 02 9410·
 2000 03 229·
 2000 04 616.
 2000 05 263.
 2000 06 327.
 2000 07 999.
 2000 08 756.
 2000 09 889·
 2000 10 258·
 2000 11 332·
 2000 12 437.
 2001 01  225.
 2001 02  5513.
 2001 03  373·
 2001 04  1011·
 2001 05  517.
 2001 06  2716.
 2001 07  4915·
 2001 08  45
 2001 09  373.
 2001 10  7414·
 2001 11  329·
 2001 12  4310·
 2002 01 4311.
 2002 02 525.
 2002 03 738·
 2002 04 2211·
 2002 05 733.
 2002 06 4313·
 2002 07 86
 2002 08 269.
 2002 09 319·
 2002 10 5311·
 2002 11 99.
 2002 12 2618.
 2003 01  3420.
 2003 02  1515.
 2003 03  49·
 2003 04  14
 2003 05  9017.
 2003 06  855·
 2003 07  598.
 2003 08  115·
 2003 09  2310.
 2003 10  447.
 2003 11  889·
 2003 12  593.
 2004 01 710·
 2004 02 996·
 2004 03 277.
 2004 04 2913·
 2004 05 4311·
 2004 06 8214.
 2004 07 4115.
 2004 08 142.
 2004 09 567.
 2004 10 505.
 2004 11 16
 2004 12 346.
 2005 01  9717·
 2005 02  8312·
 2005 03  664·
 2005 04  333·
 2005 05  404·
 2005 06  905.
 2005 07  295·
 2005 08  803.
 2005 09  887·
 2005 10  01·
 2005 11  676.
 2005 12  6818·
 2006 01 649.
 2006 02 726·
 2006 03 690.
 2006 04 186.
 2006 05 1910.
 2006 06 8617·
 2006 07 4710.
 2006 08 7317.
 2006 09 298·
 2006 10 496.
 2006 11 3911·
 2006 12 316.
 2007 01  9412.
 2007 02  9317·
 2007 03  86.
 2007 04  17.
 2007 05  3918·
 2007 06  75
 2007 07  42
 2007 08  87
 2007 09  1612.
 2007 10  76
 2007 11  5412·
 2007 12  47·
 2008 01 989.
 2008 02 33.
 2008 03 8214·
 2008 04 2315.
 2008 05 8712.
 2008 06 8711.
 2008 07 890·
 2008 08 3710·
 2008 09 811.
 2008 10 858.
 2008 11 6210.
 2008 12 6529·
 2009 01  1135.
 2009 02  7928·
 2009 03  1433.
 2009 04  5220·
 2009 05  7216.
 2009 06  7612.
 2009 07  8429·
 2009 08  669·
 2009 09  9112·
 2009 10  614.
 2009 11  3414.
 2009 12  215.
 2010 01 9421.
 2010 02 2713.
 2010 03 528.
 2010 04 78
 2010 05 319·
 2010 06 212·
 2010 07 5116·
 2010 08 4015·
 2010 09 7611.
 2010 10 9322·
 2010 11 6816.
 2010 12 5612.
 2011 01  328·
 2011 02  763.
 2011 03  6815·
 2011 04  202.
 2011 05  23
 2011 06  2612.
 2011 07  377·
 2011 08  51
 2011 09  9919.
 2011 10  2517.
 2011 11  8914·
 2011 12  9416.
 2012 01 3626·
 2012 02 7914·
 2012 03 6213.
 2012 04 18
 2012 05 3418·
 2012 06 2115.
 2012 07 1734.
 2012 08 1717.
 2012 09 1915.
 2012 10 625.
 2012 11 4420.
 2012 12 913.
 2013 01  4131·
 2013 02  174.
 2013 03  5515·
 2013 04  4019·
 2013 05  7619.
 2013 06  6015·
 2013 07  8823.
 2013 08  7821.
 2013 09  2315.
 2013 10  6627·
 2013 11  617.
 2013 12  177·
 2014 01 828.
 2014 02 9331·
 2014 03 9613·
 2014 04 7710.
 2014 05 823.
 2014 06 224.
 2014 07 7320·
 2014 08 223·
 2014 09 2023.
 2014 10 6012·
 2014 11 739.
 2014 12 6021.
 2015 01  2322·
 2015 02  3744.
 2015 03  5941·
 2015 04  4656.
 2015 05  1513·
 2015 06  1228.
 2015 07  2026.
 2015 08  8024.
 2015 09  4725·
 2015 10  6520·
 2015 11  6826·
 2015 12  541.
 2016 01 9520.
 2016 02 433.


 2016 03 4119.
 2016 04 9033·
 2016 05 5935.
 2016 06 5917·
 2016 07 216.
 2016 08 295·
 2016 09 64
 2016 10 8812.
 2016 11 399·
 2016 12 428.
 2017 01  6115·
 2017 02  725·
 2017 03  656.
 2017 04  7411·
 2017 05  25
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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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