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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 3418·
 2000 02 3010.
 2000 03 92
 2000 04 72
 2000 05 473.
 2000 06 967·
 2000 07 09.
 2000 08 696.
 2000 09 969.
 2000 10 298.
 2000 11 772·
 2000 12 337·
 2001 01  305·
 2001 02  1113·
 2001 03  363.
 2001 04  911.
 2001 05  2417.
 2001 06  4816·
 2001 07  1615·
 2001 08  663·
 2001 09  803·
 2001 10  7214.
 2001 11  80
 2001 12  9710.
 2002 01 2311.
 2002 02 40
 2002 03 158·
 2002 04 2211·
 2002 05 33·
 2002 06 3413.
 2002 07 336.
 2002 08 869.
 2002 09 9519.
 2002 10 6011.
 2002 11 749.
 2002 12 5718·
 2003 01  020·
 2003 02  4915.
 2003 03  09·
 2003 04  298.
 2003 05  4417·
 2003 06  595·
 2003 07  988.
 2003 08  225.
 2003 09  7510.
 2003 10  707·
 2003 11  829.
 2003 12  793·
 2004 01 7110.
 2004 02 916·
 2004 03 907·
 2004 04 7013.
 2004 05 3211·
 2004 06 5114·
 2004 07 8415·
 2004 08 892·
 2004 09 827.
 2004 10 95·
 2004 11 535·
 2004 12 566·
 2005 01  7217.
 2005 02  4512·
 2005 03  84.
 2005 04  133·
 2005 05  784·
 2005 06  665·
 2005 07  895.
 2005 08  313.
 2005 09  997·
 2005 10  4
 2005 11  586·
 2005 12  318.
 2006 01 629·
 2006 02 166.
 2006 03 30.
 2006 04 49
 2006 05 1710·
 2006 06 8217·
 2006 07 3710.
 2006 08 1317.
 2006 09 398·
 2006 10 116·
 2006 11 9711·
 2006 12 6416·
 2007 01  2812·
 2007 02  3317·
 2007 03  476·
 2007 04  967·
 2007 05  1118·
 2007 06  48·
 2007 07  747·
 2007 08  283·
 2007 09  3612·
 2007 10  80.
 2007 11  9212.
 2007 12  57.
 2008 01 819·
 2008 02 503·
 2008 03 3814.
 2008 04 9515·
 2008 05 4412.
 2008 06 6111.
 2008 07 750.
 2008 08 9210·
 2008 09 5211.
 2008 10 08·
 2008 11 9110.
 2008 12 1729.
 2009 01  5435·
 2009 02  4628·
 2009 03  9933·
 2009 04  1220.
 2009 05  2716·
 2009 06  812·
 2009 07  3729.
 2009 08  479·
 2009 09  7112.
 2009 10  1614.
 2009 11  6814.
 2009 12  1715.
 2010 01 1021.
 2010 02 2713.
 2010 03 798·
 2010 04 405·
 2010 05 969·
 2010 06 232.
 2010 07 8316.
 2010 08 6015.
 2010 09 411·
 2010 10 1022·
 2010 11 1916.
 2010 12 4812·
 2011 01  348·
 2011 02  203·
 2011 03  5015.
 2011 04  952·
 2011 05  125.
 2011 06  1112.
 2011 07  627·
 2011 08  236.
 2011 09  8719.
 2011 10  6217·
 2011 11  7014·
 2011 12  7516·
 2012 01 3626·
 2012 02 8214·
 2012 03 1013·
 2012 04 208.
 2012 05 5918·
 2012 06 115·
 2012 07 4634.
 2012 08 5317·
 2012 09 8115.
 2012 10 7625·
 2012 11 6620.
 2012 12 9113.
 2013 01  5231.
 2013 02  894.
 2013 03  8315.
 2013 04  8119.
 2013 05  4919·
 2013 06  4715.
 2013 07  3423·


 2013 08  9021.
 2013 09  7015·
 2013 10  8127.
 2013 11  8317.
 2013 12  13
 2014 01 4328.
 2014 02 4831·
 2014 03 1713·
 2014 04 6910.
 2014 05 163.
 2014 06 304.
 2014 07 4920.
 2014 08 323·
 2014 09 6623·
 2014 10 3212·
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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
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

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