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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 4218.
 2000 02 4610.
 2000 03 859·
 2000 04 386.
 2000 05 63·
 2000 06 937.
 2000 07 69.
 2000 08 796.
 2000 09 309.
 2000 10 338.
 2000 11 212·
 2000 12 127.
 2001 01  64
 2001 02  4613·
 2001 03  433.
 2001 04  8211.
 2001 05  8417·
 2001 06  4016·
 2001 07  1115.
 2001 08  583·
 2001 09  913.
 2001 10  4614·
 2001 11  879.
 2001 12  3410·
 2002 01 911·
 2002 02 215.
 2002 03 608.
 2002 04 2811.
 2002 05 893·
 2002 06 4613.
 2002 07 426.
 2002 08 869.
 2002 09 719·
 2002 10 2811·
 2002 11 709.
 2002 12 7618.
 2003 01  6220·
 2003 02  9915.
 2003 03  99·
 2003 04  928.
 2003 05  8117.
 2003 06  165.
 2003 07  458.
 2003 08  545.
 2003 09  1310·
 2003 10  597·
 2003 11  929·
 2003 12  53·
 2004 01 3510·
 2004 02 366·
 2004 03 887·
 2004 04 1613.
 2004 05 4511·
 2004 06 7814.
 2004 07 9515·
 2004 08 792·
 2004 09 717.
 2004 10 425.
 2004 11 15.
 2004 12 146.
 2005 01  6117·
 2005 02  1012·
 2005 03  204.
 2005 04  663.
 2005 05  924.
 2005 06  885.
 2005 07  895·
 2005 08  33·
 2005 09  647·
 2005 10  81·
 2005 11  706.
 2005 12  2018·
 2006 01 3
 2006 02 266·
 2006 03 530·
 2006 04 356.
 2006 05 5810.
 2006 06 2417·
 2006 07 5010.
 2006 08 9317.
 2006 09 58·
 2006 10 96.
 2006 11 9811·
 2006 12 6316.
 2007 01  4512.
 2007 02  1317·
 2007 03  616.
 2007 04  397·
 2007 05  318·
 2007 06  918.
 2007 07  267·
 2007 08  403.
 2007 09  2912·
 2007 10  260·
 2007 11  612·
 2007 12  11
 2008 01 98
 2008 02 253.
 2008 03 4014.
 2008 04 2015.
 2008 05 1212·
 2008 06 1811.
 2008 07 90
 2008 08 6210.
 2008 09 9511.
 2008 10 63
 2008 11 4410.
 2008 12 5529.
 2009 01  9835.
 2009 02  4128.
 2009 03  1533·
 2009 04  4520.
 2009 05  9716.
 2009 06  5912.
 2009 07  4129·
 2009 08  999·
 2009 09  9112·
 2009 10  4914.
 2009 11  8414·
 2009 12  1315.
 2010 01 621·
 2010 02 6713.
 2010 03 348·
 2010 04 55.
 2010 05 929·
 2010 06 942·
 2010 07 116.
 2010 08 2015.
 2010 09 2511.
 2010 10 3822·
 2010 11 2516.
 2010 12 2612·
 2011 01  68.
 2011 02  303·
 2011 03  6815.
 2011 04  182·
 2011 05  595·
 2011 06  2712.
 2011 07  197·
 2011 08  156·
 2011 09  3519.
 2011 10  1017·
 2011 11  8914.
 2011 12  6116.
 2012 01 926·
 2012 02 8614·
 2012 03 1713·
 2012 04 258·
 2012 05 8218.
 2012 06 8715·
 2012 07 6734.
 2012 08 217·
 2012 09 7915.
 2012 10 6925·
 2012 11 2420·
 2012 12 1013.
 2013 01  5131·
 2013 02  144.
 2013 03  415.
 2013 04  9319.
 2013 05  7319.
 2013 06  2915.
 2013 07  4323.
 2013 08  2221.
 2013 09  4515·
 2013 10  4427.
 2013 11  417.
 2013 12  897.
 2014 01 9328.
 2014 02 1831·
 2014 03 7613·
 2014 04 1410.
 2014 05 663·
 2014 06 314.
 2014 07 7120.
 2014 08 4223·
 2014 09 4223·
 2014 10 9012·
 2014 11 279.
 2014 12 4021.
 2015 01  1922.
 2015 02  2744.
 2015 03  741·
 2015 04  556·
 2015 05  2413.
 2015 06  9828·
 2015 07  9926.
 2015 08  5424·
 2015 09  625.
 2015 10  8620·
 2015 11  1526·
 2015 12  3141.
 2016 01 4120·
 2016 02 9633·
 2016 03 9419·
 2016 04 733.


 2016 05 3035·
 2016 06 6017·
 2016 07 9916.
 2016 08 745·
 2016 09 979·
 2016 10 3612·
 2016 11 179.
 2016 12 538·
 2017 01  9415.
 2017 02  4
 2017 03  616·
 2017 04  8711·
 2017 05  958.
 2017 06  7111·
 2017 07  7014.
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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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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