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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 01 218·
 2000 02 7910.
 2000 03 659.
 2000 04 81
 2000 05 733·
 2000 06 887·
 2000 07 769·
 2000 08 186.
 2000 09 729.
 2000 10 588·
 2000 11 522.
 2000 12 167.
 2001 01  515.
 2001 02  7013.
 2001 03  33·
 2001 04  1911.
 2001 05  8417.
 2001 06  3216·
 2001 07  6815.
 2001 08  97
 2001 09  73
 2001 10  7514·
 2001 11  119·
 2001 12  4410·
 2002 01 4211.
 2002 02 555.
 2002 03 198.
 2002 04 7811.
 2002 05 413·
 2002 06 5413·
 2002 07 46.
 2002 08 449·
 2002 09 4719·
 2002 10 8011.
 2002 11 59.
 2002 12 1218.
 2003 01  6020·
 2003 02  6215·
 2003 03  85
 2003 04  748·
 2003 05  417·
 2003 06  595·
 2003 07  328.
 2003 08  505.
 2003 09  3110.
 2003 10  517·
 2003 11  589·
 2003 12  853.
 2004 01 1510.
 2004 02 46
 2004 03 17.
 2004 04 4813.
 2004 05 5811·
 2004 06 7514·
 2004 07 2415·
 2004 08 322·
 2004 09 847.
 2004 10 955.
 2004 11 155.
 2004 12 576·
 2005 01  4417·
 2005 02  8612.
 2005 03  884.
 2005 04  683.
 2005 05  134.
 2005 06  575.
 2005 07  795·
 2005 08  323·
 2005 09  927·
 2005 10  381.
 2005 11  526.
 2005 12  4418·
 2006 01 69.
 2006 02 87
 2006 03 950.
 2006 04 246.
 2006 05 610·
 2006 06 8417·
 2006 07 2010.
 2006 08 1617.
 2006 09 668.
 2006 10 376·
 2006 11 6611.
 2006 12 8816·
 2007 01  8812.
 2007 02  7717·
 2007 03  956.
 2007 04  357·
 2007 05  9618.
 2007 06  61
 2007 07  957·
 2007 08  763.
 2007 09  4212·
 2007 10  700.
 2007 11  8012·
 2007 12  557.
 2008 01 09.
 2008 02 123·
 2008 03 8614·
 2008 04 4215.
 2008 05 7012.
 2008 06 1711.
 2008 07 780·
 2008 08 2910·
 2008 09 7911.
 2008 10 428·
 2008 11 4210.
 2008 12 3829.
 2009 01  7735.
 2009 02  6928·
 2009 03  9133.
 2009 04  1120·
 2009 05  3816.
 2009 06  512.
 2009 07  6529.
 2009 08  179·
 2009 09  6412.
 2009 10  8114.
 2009 11  2514·
 2009 12  5215·
 2010 01 8021·
 2010 02 5513·
 2010 03 598·
 2010 04 345·
 2010 05 369.
 2010 06 62·
 2010 07 8016.
 2010 08 715·
 2010 09 711·
 2010 10 4322.
 2010 11 2616·
 2010 12 4112·
 2011 01  948·
 2011 02  973·
 2011 03  6115.
 2011 04  292.
 2011 05  235.
 2011 06  2412·
 2011 07  717.
 2011 08  906·
 2011 09  4319.
 2011 10  617·
 2011 11  7114.
 2011 12  7016.
 2012 01 3126·
 2012 02 5014·
 2012 03 9713·
 2012 04 368·
 2012 05 8618·
 2012 06 8815·
 2012 07 1234.
 2012 08 8417·
 2012 09 3415·
 2012 10 7525·
 2012 11 520·
 2012 12 3213·
 2013 01  2531.
 2013 02  944·
 2013 03  8815.
 2013 04  2419·


 2013 05  3519.
 2013 06  5215.
 2013 07  023.
 2013 08  2921.
 2013 09  6415.
 2013 10  7927.
 2013 11  317.
 2013 12  43
 2014 01 3728.
 2014 02 3331.
 2014 03 8413·
 2014 04 8310.
 2014 05 63·
 2014 06 954.
 2014 07 5820.
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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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