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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 8418.
 2000 02 610·
 2000 03 369.
 2000 04 656.
 2000 05 73·
 2000 06 787·
 2000 07 979.
 2000 08 126.
 2000 09 539.
 2000 10 5
 2000 11 15
 2000 12 157·
 2001 01  725.
 2001 02  6913·
 2001 03  43.
 2001 04  1611.
 2001 05  3917.
 2001 06  7616·
 2001 07  015·
 2001 08  863.
 2001 09  553·
 2001 10  5714.
 2001 11  67
 2001 12  1810·
 2002 01 4511.
 2002 02 695.
 2002 03 938·
 2002 04 3111·
 2002 05 603·
 2002 06 9513·
 2002 07 916.
 2002 08 709·
 2002 09 7519.
 2002 10 4011·
 2002 11 989.
 2002 12 418·
 2003 01  9020.
 2003 02  3615.
 2003 03  779·
 2003 04  27
 2003 05  3117.
 2003 06  405.
 2003 07  178·
 2003 08  585·
 2003 09  4710·
 2003 10  347.
 2003 11  309·
 2003 12  413.
 2004 01 1610.
 2004 02 236·
 2004 03 537·
 2004 04 4513.
 2004 05 3611.
 2004 06 4114·
 2004 07 5115.
 2004 08 652·
 2004 09 337.
 2004 10 425.
 2004 11 115.
 2004 12 196.
 2005 01  5917·
 2005 02  1012.
 2005 03  464.
 2005 04  52
 2005 05  874.
 2005 06  515.
 2005 07  935·
 2005 08  333·
 2005 09  18
 2005 10  961·
 2005 11  156·
 2005 12  5618.
 2006 01 799.
 2006 02 26.
 2006 03 1
 2006 04 406.
 2006 05 1910·
 2006 06 5017.
 2006 07 6410.
 2006 08 3017.
 2006 09 138·
 2006 10 486.
 2006 11 4011.
 2006 12 9416.
 2007 01  6212.
 2007 02  2617·
 2007 03  946·
 2007 04  267.
 2007 05  9218·
 2007 06  43
 2007 07  127·
 2007 08  463.
 2007 09  5312.
 2007 10  780.
 2007 11  912·
 2007 12  98
 2008 01 199.
 2008 02 393.
 2008 03 2114·
 2008 04 5115.
 2008 05 9312.
 2008 06 5811·
 2008 07 120.
 2008 08 010.
 2008 09 9811.
 2008 10 908·
 2008 11 6910.
 2008 12 6229.
 2009 01  8635.
 2009 02  1928.
 2009 03  633·
 2009 04  8320·
 2009 05  3116.
 2009 06  4912·
 2009 07  6029·
 2009 08  329·
 2009 09  3512.
 2009 10  1414.
 2009 11  9414.
 2009 12  215.
 2010 01 2221·
 2010 02 7013.
 2010 03 968.
 2010 04 135.
 2010 05 439·
 2010 06 972.
 2010 07 8016·
 2010 08 915.
 2010 09 7311.
 2010 10 422.
 2010 11 8216·
 2010 12 5912.
 2011 01  138.
 2011 02  213·
 2011 03  6615·
 2011 04  582.
 2011 05  885.
 2011 06  612·
 2011 07  207·
 2011 08  246·
 2011 09  4819.
 2011 10  3917·
 2011 11  5614.
 2011 12  116·
 2012 01 7026.
 2012 02 2814.
 2012 03 1313·
 2012 04 598·
 2012 05 5218.
 2012 06 415·
 2012 07 5334.
 2012 08 9217.
 2012 09 2215.
 2012 10 2425.
 2012 11 6420·
 2012 12 1913.
 2013 01  2831.
 2013 02  694.
 2013 03  5915.
 2013 04  8419·
 2013 05  4719·
 2013 06  4615.


 2013 07  7723·
 2013 08  5621.
 2013 09  7915.
 2013 10  8727.
 2013 11  7917.
 2013 12  307·
 2014 01 4828.
 2014 02 4831.
 2014 03 5413·
 2014 04 2410.
 2014 05 73.
 2014 06 124·
 2014 07 1520·
 2014 08 8323·
 2014 09 2923·
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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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