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 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  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 018.
 2000 02 110·
 2000 03 379·
 2000 04 916.
 2000 05 723·
 2000 06 897.
 2000 07 569·
 2000 08 136.
 2000 09 859·
 2000 10 518.
 2000 11 512·
 2000 12 107·
 2001 01  905·
 2001 02  6813·
 2001 03  343.
 2001 04  2311·
 2001 05  6217.
 2001 06  4616·
 2001 07  4515.
 2001 08  243.
 2001 09  13.
 2001 10  1814.
 2001 11  44
 2001 12  610·
 2002 01 3311.
 2002 02 395·
 2002 03 228.
 2002 04 8811·
 2002 05 93·
 2002 06 9313·
 2002 07 896.
 2002 08 159·
 2002 09 319.
 2002 10 8511.
 2002 11 85
 2002 12 5518·
 2003 01  1720·
 2003 02  4615.
 2003 03  739.
 2003 04  28.
 2003 05  7417·
 2003 06  355·
 2003 07  398·
 2003 08  775.
 2003 09  2710·
 2003 10  317·
 2003 11  979·
 2003 12  223·
 2004 01 5010.
 2004 02 43
 2004 03 857·
 2004 04 813·
 2004 05 4411.
 2004 06 114·
 2004 07 6515.
 2004 08 272·
 2004 09 337.
 2004 10 625.
 2004 11 26
 2004 12 06·
 2005 01  6917·
 2005 02  812·
 2005 03  814.
 2005 04  71
 2005 05  274·
 2005 06  455·
 2005 07  67
 2005 08  83.
 2005 09  7
 2005 10  61.
 2005 11  476·
 2005 12  618.
 2006 01 35
 2006 02 466.
 2006 03 100.
 2006 04 836·
 2006 05 6010.
 2006 06 4717.
 2006 07 6710·
 2006 08 8517·
 2006 09 598·
 2006 10 176·
 2006 11 5811.
 2006 12 8016.
 2007 01  3212·
 2007 02  8617.
 2007 03  446.
 2007 04  637.
 2007 05  418·
 2007 06  118·
 2007 07  147·
 2007 08  523·
 2007 09  2512·
 2007 10  750·
 2007 11  8112.
 2007 12  917·
 2008 01 719.
 2008 02 823.
 2008 03 8214.
 2008 04 5015.
 2008 05 4312.
 2008 06 6711·
 2008 07 800.
 2008 08 2310.
 2008 09 6511·
 2008 10 838·
 2008 11 6410.
 2008 12 3029.
 2009 01  8935.
 2009 02  1528·
 2009 03  4633.
 2009 04  1320.
 2009 05  8916.
 2009 06  6712.
 2009 07  6429.
 2009 08  439·
 2009 09  6612.
 2009 10  7314.
 2009 11  8114·
 2009 12  1315.
 2010 01 4521·
 2010 02 8813.
 2010 03 858·
 2010 04 425·
 2010 05 779·
 2010 06 932·
 2010 07 8916.
 2010 08 7615·
 2010 09 3611.
 2010 10 9722.
 2010 11 3016·
 2010 12 8212·
 2011 01  258.
 2011 02  303·
 2011 03  7215.
 2011 04  562.
 2011 05  67
 2011 06  4812·
 2011 07  27.
 2011 08  156.
 2011 09  1319.
 2011 10  3517.
 2011 11  3314.
 2011 12  516·
 2012 01 3926.
 2012 02 9514.
 2012 03 413.
 2012 04 948·
 2012 05 4518·
 2012 06 6215·
 2012 07 7734·
 2012 08 7717·
 2012 09 5715.
 2012 10 9125·
 2012 11 3920.
 2012 12 7313·
 2013 01  2431·
 2013 02  644.
 2013 03  515.
 2013 04  2519.
 2013 05  2219.
 2013 06  8815·
 2013 07  1123·
 2013 08  421.
 2013 09  5215·
 2013 10  9427.
 2013 11  2117·
 2013 12  27·
 2014 01 3928·
 2014 02 4031·
 2014 03 2313.
 2014 04 4010.
 2014 05 333·
 2014 06 64·
 2014 07 2920·
 2014 08 6223·
 2014 09 1023·
 2014 10 012·
 2014 11 779.
 2014 12 3521.
 2015 01  7122·
 2015 02  5344·
 2015 03  3041.
 2015 04  5656·
 2015 05  3913·
 2015 06  2128.
 2015 07  7726·
 2015 08  4324·
 2015 09  6725.


 2015 10  8720·
 2015 11  2926.
 2015 12  3941·
 2016 01 2920·
 2016 02 5633·
 2016 03 2619·
 2016 04 1533·
 2016 05 2535·
 2016 06 6117·
 2016 07 2916·
 2016 08 63
 2016 09 829.
 2016 10 5912·
 2016 11 279·
 2016 12 5
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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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