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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 6518.
 2000 02 3410·
 2000 03 839.
 2000 04 206.
 2000 05 803.
 2000 06 977.
 2000 07 89.
 2000 08 816.
 2000 09 639.
 2000 10 598·
 2000 11 35
 2000 12 407.
 2001 01  615·
 2001 02  113·
 2001 03  753.
 2001 04  4111.
 2001 05  5217·
 2001 06  3016·
 2001 07  6715.
 2001 08  553.
 2001 09  363.
 2001 10  7714·
 2001 11  739.
 2001 12  7510.
 2002 01 3711.
 2002 02 995·
 2002 03 828.
 2002 04 2011·
 2002 05 73.
 2002 06 7813·
 2002 07 76·
 2002 08 349·
 2002 09 2119.
 2002 10 2011.
 2002 11 849.
 2002 12 8718.
 2003 01  7820.
 2003 02  5715.
 2003 03  789·
 2003 04  738.
 2003 05  517.
 2003 06  465·
 2003 07  768·
 2003 08  105·
 2003 09  5210.
 2003 10  687·
 2003 11  909.
 2003 12  433·
 2004 01 9410·
 2004 02 306.
 2004 03 607·
 2004 04 4213·
 2004 05 3211.
 2004 06 6314.
 2004 07 4715·
 2004 08 992.
 2004 09 907.
 2004 10 255.
 2004 11 405·
 2004 12 35
 2005 01  2117·
 2005 02  9612.
 2005 03  514·
 2005 04  933.
 2005 05  974.
 2005 06  845.
 2005 07  195·
 2005 08  433.
 2005 09  227·
 2005 10  201·
 2005 11  66.
 2005 12  7918·
 2006 01 189.
 2006 02 60
 2006 03 0
 2006 04 206·
 2006 05 3810·
 2006 06 8717·
 2006 07 1410.
 2006 08 1017.
 2006 09 568·
 2006 10 76.
 2006 11 8611.
 2006 12 1816·
 2007 01  7312.
 2007 02  5117.
 2007 03  796.
 2007 04  387.
 2007 05  1418·
 2007 06  778.
 2007 07  817.
 2007 08  903·
 2007 09  3012.
 2007 10  660·
 2007 11  412.
 2007 12  177.
 2008 01 959·
 2008 02 243.
 2008 03 8714.
 2008 04 8915·
 2008 05 1112.
 2008 06 8411·
 2008 07 920·
 2008 08 010.
 2008 09 211.
 2008 10 18·
 2008 11 810.
 2008 12 6929·
 2009 01  2035·
 2009 02  5828·
 2009 03  4633.
 2009 04  4020·
 2009 05  3916.
 2009 06  6112.
 2009 07  4629.
 2009 08  839.
 2009 09  6012·
 2009 10  4114·
 2009 11  7014·
 2009 12  9115·
 2010 01 821.
 2010 02 5713·
 2010 03 58.
 2010 04 845·
 2010 05 349.
 2010 06 88
 2010 07 6516.
 2010 08 515.
 2010 09 1311·
 2010 10 4222.
 2010 11 8816.
 2010 12 2412·
 2011 01  468.
 2011 02  503.
 2011 03  3715.
 2011 04  352.
 2011 05  575.
 2011 06  6912·
 2011 07  987.
 2011 08  586·
 2011 09  9719.
 2011 10  8117·
 2011 11  8614.
 2011 12  3616·
 2012 01 4326.
 2012 02 9214.
 2012 03 3913.
 2012 04 388·
 2012 05 9318.
 2012 06 3415.
 2012 07 1834·
 2012 08 5917·
 2012 09 7315·
 2012 10 6325·
 2012 11 1220.
 2012 12 1713.
 2013 01  3531.
 2013 02  624·
 2013 03  3515.
 2013 04  5719·
 2013 05  5219.
 2013 06  3615.
 2013 07  2323.
 2013 08  4921·
 2013 09  2615·


 2013 10  1827·
 2013 11  3917·
 2013 12  857·
 2014 01 8228·
 2014 02 6431·
 2014 03 7213.
 2014 04 8610.
 2014 05 71
 2014 06 554.
 2014 07 3520·
 2014 08 9523·
 2014 09 6723·
 2014 10 9912.
 2014 11 659·
 2014 12 8221.
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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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