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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 8118·
 2000 02 6510.
 2000 03 80
 2000 04 256.
 2000 05 19
 2000 06 847.
 2000 07 469.
 2000 08 606.
 2000 09 609·
 2000 10 408·
 2000 11 512·
 2000 12 317.
 2001 01  565.
 2001 02  1313·
 2001 03  63.
 2001 04  8311·
 2001 05  8117.
 2001 06  1016.
 2001 07  5115.
 2001 08  843·
 2001 09  36
 2001 10  6314.
 2001 11  489·
 2001 12  2810.
 2002 01 4711.
 2002 02 295·
 2002 03 858.
 2002 04 3611.
 2002 05 633·
 2002 06 8913·
 2002 07 756·
 2002 08 509.
 2002 09 6119·
 2002 10 5011·
 2002 11 559.
 2002 12 4018·
 2003 01  4020·
 2003 02  4315·
 2003 03  909·
 2003 04  08·
 2003 05  2617.
 2003 06  255·
 2003 07  658.
 2003 08  50
 2003 09  6910.
 2003 10  787.
 2003 11  959.
 2003 12  333·
 2004 01 4610.
 2004 02 86·
 2004 03 187.
 2004 04 1913.
 2004 05 5511.
 2004 06 4814.
 2004 07 9615·
 2004 08 12.
 2004 09 237·
 2004 10 535·
 2004 11 165.
 2004 12 996.
 2005 01  017.
 2005 02  512.
 2005 03  934.
 2005 04  573.
 2005 05  614·
 2005 06  125.
 2005 07  645.
 2005 08  453·
 2005 09  7
 2005 10  31·
 2005 11  916.
 2005 12  5518.
 2006 01 639.
 2006 02 386.
 2006 03 630·
 2006 04 8
 2006 05 7910·
 2006 06 9517·
 2006 07 9310·
 2006 08 4817.
 2006 09 318.
 2006 10 846.
 2006 11 1811.
 2006 12 4316·
 2007 01  2012.
 2007 02  3417·
 2007 03  16.
 2007 04  887·
 2007 05  7018·
 2007 06  48·
 2007 07  31
 2007 08  23·
 2007 09  3212·
 2007 10  740·
 2007 11  1912·
 2007 12  297.
 2008 01 829.
 2008 02 503.
 2008 03 514.
 2008 04 3915·
 2008 05 1912·
 2008 06 6611·
 2008 07 510.
 2008 08 2510·
 2008 09 7011.
 2008 10 778·
 2008 11 4410.
 2008 12 629.
 2009 01  8435·
 2009 02  6528·
 2009 03  9833.
 2009 04  2720·
 2009 05  3816·
 2009 06  3612·
 2009 07  5129·
 2009 08  579.
 2009 09  3012·
 2009 10  2314.
 2009 11  6514·
 2009 12  9015·
 2010 01 8821.
 2010 02 8213.
 2010 03 288.
 2010 04 455·
 2010 05 609.
 2010 06 942.
 2010 07 5416.
 2010 08 6615·
 2010 09 2411.
 2010 10 6622·
 2010 11 8016.
 2010 12 2212.
 2011 01  788·
 2011 02  313.
 2011 03  6815.
 2011 04  82·
 2011 05  485·
 2011 06  4312·
 2011 07  87.
 2011 08  436.
 2011 09  8519·
 2011 10  8617.
 2011 11  1214.
 2011 12  7116.
 2012 01 6526·
 2012 02 6614.
 2012 03 1713.
 2012 04 608·
 2012 05 8618·
 2012 06 1415.
 2012 07 8734.
 2012 08 617·
 2012 09 7615·
 2012 10 8725.
 2012 11 920·
 2012 12 2613.
 2013 01  8431·
 2013 02  664·
 2013 03  9715·
 2013 04  6719.
 2013 05  8619·
 2013 06  5915.
 2013 07  8723·
 2013 08  9521.
 2013 09  8215.
 2013 10  9727.
 2013 11  4417.
 2013 12  77.
 2014 01 9728·
 2014 02 3731·
 2014 03 5613.
 2014 04 2010.
 2014 05 823.
 2014 06 594.
 2014 07 3420·
 2014 08 7923.
 2014 09 1223.
 2014 10 7212.
 2014 11 169.
 2014 12 5321.
 2015 01  8822.
 2015 02  644·
 2015 03  6741.
 2015 04  3656·
 2015 05  3513.
 2015 06  1828·
 2015 07  7326·
 2015 08  4824·
 2015 09  425.
 2015 10  9020·
 2015 11  4826.
 2015 12  3241.


 2016 01 6920·
 2016 02 2933·
 2016 03 2819.
 2016 04 5833·
 2016 05 3135·
 2016 06 6517·
 2016 07 7916·
 2016 08 195.
 2016 09 169.
 2016 10 5712.
 2016 11 869.
 2016 12 368.
 2017 01  7415.
 2017 02  845·
 2017 03  64
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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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