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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 7718·
 2000 02 2510.
 2000 03 209·
 2000 04 776.
 2000 05 373.
 2000 06 407.
 2000 07 309.
 2000 08 806.
 2000 09 449·
 2000 10 358·
 2000 11 222.
 2000 12 627.
 2001 01  505.
 2001 02  9113.
 2001 03  93.
 2001 04  6911·
 2001 05  2817·
 2001 06  1516.
 2001 07  2915·
 2001 08  693.
 2001 09  813.
 2001 10  3914.
 2001 11  459.
 2001 12  5610.
 2002 01 3211·
 2002 02 195.
 2002 03 458·
 2002 04 4911.
 2002 05 333·
 2002 06 3713·
 2002 07 416·
 2002 08 939·
 2002 09 5919·
 2002 10 011·
 2002 11 729·
 2002 12 5718.
 2003 01  1120·
 2003 02  3815·
 2003 03  09·
 2003 04  358.
 2003 05  1317·
 2003 06  105·
 2003 07  148·
 2003 08  465.
 2003 09  1610·
 2003 10  967·
 2003 11  259·
 2003 12  343.
 2004 01 9510·
 2004 02 36·
 2004 03 737·
 2004 04 6813·
 2004 05 5211·
 2004 06 6314·
 2004 07 2015·
 2004 08 432.
 2004 09 117·
 2004 10 335·
 2004 11 53
 2004 12 78
 2005 01  2217.
 2005 02  9312·
 2005 03  874.
 2005 04  163.
 2005 05  624·
 2005 06  51
 2005 07  585.
 2005 08  273·
 2005 09  307.
 2005 10  39
 2005 11  296·
 2005 12  518.
 2006 01 529·
 2006 02 126.
 2006 03 890.
 2006 04 696.
 2006 05 7810·
 2006 06 5317·
 2006 07 5010.
 2006 08 6417.
 2006 09 838.
 2006 10 696·
 2006 11 5011.
 2006 12 5816.
 2007 01  6912·
 2007 02  9017.
 2007 03  536·
 2007 04  457.
 2007 05  6018.
 2007 06  748.
 2007 07  457.
 2007 08  453.
 2007 09  712.
 2007 10  10.
 2007 11  4012.
 2007 12  3
 2008 01 859·
 2008 02 803.
 2008 03 7614.
 2008 04 8615.
 2008 05 9512·
 2008 06 4111.
 2008 07 160.
 2008 08 8910·
 2008 09 6111·
 2008 10 428.
 2008 11 4710.
 2008 12 3229·
 2009 01  3535.
 2009 02  6328·
 2009 03  8333·
 2009 04  5820.
 2009 05  9216·
 2009 06  1112.
 2009 07  6129·
 2009 08  369·
 2009 09  3212·
 2009 10  1814·
 2009 11  4414·
 2009 12  6215·
 2010 01 8021.
 2010 02 4113.
 2010 03 208.
 2010 04 535.
 2010 05 889·
 2010 06 622·
 2010 07 216.
 2010 08 5415.
 2010 09 2911·
 2010 10 8622·
 2010 11 2816.
 2010 12 3412.
 2011 01  58·
 2011 02  463.
 2011 03  6115.
 2011 04  882.
 2011 05  425·
 2011 06  9812.
 2011 07  897.
 2011 08  346.
 2011 09  8919.
 2011 10  2417.
 2011 11  2414.
 2011 12  1616.
 2012 01 2126·
 2012 02 3014·
 2012 03 413·
 2012 04 48·
 2012 05 4018·
 2012 06 4915·
 2012 07 9334·
 2012 08 9217.
 2012 09 7115·
 2012 10 3625.
 2012 11 7820.
 2012 12 9913.
 2013 01  6431.
 2013 02  744.
 2013 03  7215·
 2013 04  7019.
 2013 05  9419.


 2013 06  6815.
 2013 07  1323.
 2013 08  7221·
 2013 09  6215·
 2013 10  5227.
 2013 11  6517.
 2013 12  17.
 2014 01 9328·
 2014 02 8131·
 2014 03 1313·
 2014 04 7510·
 2014 05 383.
 2014 06 374.
 2014 07 7320·
 2014 08 3923·
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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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