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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 4518.
 2000 02 6210.
 2000 03 299·
 2000 04 766·
 2000 05 543.
 2000 06 167.
 2000 07 199·
 2000 08 496.
 2000 09 729·
 2000 10 138·
 2000 11 542.
 2000 12 657.
 2001 01  51
 2001 02  3313.
 2001 03  463·
 2001 04  6711.
 2001 05  6617.
 2001 06  8416·
 2001 07  3415.
 2001 08  243·
 2001 09  173.
 2001 10  9714·
 2001 11  799.
 2001 12  3210·
 2002 01 3011.
 2002 02 295·
 2002 03 718.
 2002 04 911·
 2002 05 543·
 2002 06 6113·
 2002 07 236.
 2002 08 989.
 2002 09 6619.
 2002 10 111.
 2002 11 71
 2002 12 7018.
 2003 01  6620.
 2003 02  7915·
 2003 03  79
 2003 04  198.
 2003 05  8017.
 2003 06  525.
 2003 07  358.
 2003 08  625·
 2003 09  5610.
 2003 10  27.
 2003 11  519·
 2003 12  463·
 2004 01 7210.
 2004 02 36
 2004 03 677·
 2004 04 3813.
 2004 05 2711·
 2004 06 8614.
 2004 07 4315·
 2004 08 342.
 2004 09 477.
 2004 10 75.
 2004 11 69
 2004 12 516·
 2005 01  8217·
 2005 02  8212.
 2005 03  57
 2005 04  353·
 2005 05  84.
 2005 06  175·
 2005 07  455·
 2005 08  543.
 2005 09  257.
 2005 10  431.
 2005 11  976·
 2005 12  218.
 2006 01 589.
 2006 02 18
 2006 03 99
 2006 04 06·
 2006 05 5710·
 2006 06 2417·
 2006 07 6510.
 2006 08 9017·
 2006 09 998.
 2006 10 666.
 2006 11 3311.
 2006 12 4216·
 2007 01  8412·
 2007 02  7617.
 2007 03  656.
 2007 04  507.
 2007 05  3618·
 2007 06  128.
 2007 07  507·
 2007 08  333.
 2007 09  612·
 2007 10  540·
 2007 11  012.
 2007 12  367.
 2008 01 719·
 2008 02 93·
 2008 03 5314.
 2008 04 2715·
 2008 05 2912·
 2008 06 1011.
 2008 07 730·
 2008 08 110·
 2008 09 711.
 2008 10 128.
 2008 11 4610.
 2008 12 7629·
 2009 01  5435.
 2009 02  9728·
 2009 03  8733.
 2009 04  9820·
 2009 05  4716.
 2009 06  7212·
 2009 07  3229.
 2009 08  349.
 2009 09  8512.
 2009 10  6914·
 2009 11  4514.
 2009 12  8015·
 2010 01 9521.
 2010 02 4313·
 2010 03 148·
 2010 04 54
 2010 05 269.
 2010 06 782·
 2010 07 5116·
 2010 08 115.
 2010 09 5411.
 2010 10 7922·
 2010 11 9416·
 2010 12 8912.
 2011 01  798.
 2011 02  783.
 2011 03  715.
 2011 04  132.
 2011 05  265·
 2011 06  3212·
 2011 07  777.
 2011 08  926·
 2011 09  4719.
 2011 10  2217.
 2011 11  1714·
 2011 12  7016·
 2012 01 1526.
 2012 02 5514·
 2012 03 6513.
 2012 04 16
 2012 05 3318.
 2012 06 6315·
 2012 07 8334·
 2012 08 2517.
 2012 09 2515·
 2012 10 225.
 2012 11 6120.
 2012 12 1513.
 2013 01  4131.
 2013 02  544·
 2013 03  1015.
 2013 04  3119.
 2013 05  5719·
 2013 06  2615.


 2013 07  6923·
 2013 08  4121.
 2013 09  7415.
 2013 10  4927·
 2013 11  9917.
 2013 12  407.
 2014 01 1628.
 2014 02 7931.
 2014 03 9113·
 2014 04 4810.
 2014 05 353.
 2014 06 994·
 2014 07 5520·
 2014 08 723.
 2014 09 523·
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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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