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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 01 618.
 2000 02 5210·
 2000 03 479·
 2000 04 356.
 2000 05 883·
 2000 06 797.
 2000 07 829·
 2000 08 26·
 2000 09 249.
 2000 10 928.
 2000 11 62·
 2000 12 557.
 2001 01  645.
 2001 02  7213.
 2001 03  313.
 2001 04  3911.
 2001 05  8417·
 2001 06  2616.
 2001 07  9615·
 2001 08  223·
 2001 09  843.
 2001 10  8614.
 2001 11  629.
 2001 12  9910.
 2002 01 8911.
 2002 02 95.
 2002 03 198.
 2002 04 8811.
 2002 05 503·
 2002 06 7613.
 2002 07 786·
 2002 08 349·
 2002 09 4219.
 2002 10 9411·
 2002 11 789.
 2002 12 618.
 2003 01  6620·
 2003 02  9415·
 2003 03  829·
 2003 04  998·
 2003 05  4617·
 2003 06  335·
 2003 07  778.
 2003 08  305·
 2003 09  3410.
 2003 10  937·
 2003 11  769.
 2003 12  453·
 2004 01 510·
 2004 02 816.
 2004 03 187·
 2004 04 1313.
 2004 05 5911·
 2004 06 2714.
 2004 07 6615.
 2004 08 272.
 2004 09 227.
 2004 10 895·
 2004 11 65.
 2004 12 86·
 2005 01  4317·
 2005 02  4912.
 2005 03  524.
 2005 04  983.
 2005 05  994·
 2005 06  125·
 2005 07  42
 2005 08  673.
 2005 09  897·
 2005 10  111·
 2005 11  396.
 2005 12  1018·
 2006 01 399.
 2006 02 26.
 2006 03 310.
 2006 04 456.
 2006 05 010·
 2006 06 6717·
 2006 07 3010.
 2006 08 1617.
 2006 09 478·
 2006 10 126·
 2006 11 7511.
 2006 12 9416.
 2007 01  8012.
 2007 02  7017·
 2007 03  276·
 2007 04  717·
 2007 05  2518.
 2007 06  968·
 2007 07  777·
 2007 08  673.
 2007 09  3212·
 2007 10  730·
 2007 11  3512·
 2007 12  267·
 2008 01 769·
 2008 02 73·
 2008 03 4014·
 2008 04 1815.
 2008 05 5812.
 2008 06 3011.
 2008 07 550.
 2008 08 3510·
 2008 09 311.
 2008 10 98
 2008 11 6810·
 2008 12 9929·
 2009 01  6235.
 2009 02  9228.
 2009 03  9233·
 2009 04  5220·
 2009 05  1016·
 2009 06  2112.
 2009 07  6429·
 2009 08  64
 2009 09  4712·
 2009 10  1514·
 2009 11  4714·
 2009 12  2915.
 2010 01 9921·
 2010 02 3113.
 2010 03 308.
 2010 04 665.
 2010 05 169·
 2010 06 502·
 2010 07 2616.
 2010 08 1915.
 2010 09 7411·
 2010 10 7922·
 2010 11 7116·
 2010 12 5712.
 2011 01  728·
 2011 02  503.
 2011 03  2915·
 2011 04  762.
 2011 05  375.
 2011 06  2012.
 2011 07  887.
 2011 08  926·
 2011 09  1919.
 2011 10  7017.
 2011 11  6114·
 2011 12  5216·
 2012 01 9326·
 2012 02 714·
 2012 03 8613.
 2012 04 238·
 2012 05 5918·
 2012 06 6215.
 2012 07 2634.
 2012 08 117·
 2012 09 4415·
 2012 10 9225·
 2012 11 6720.
 2012 12 413·
 2013 01  9631·
 2013 02  784.
 2013 03  2415.
 2013 04  7619·
 2013 05  9219·
 2013 06  2815·
 2013 07  3523.
 2013 08  8721·
 2013 09  3315.
 2013 10  7327.
 2013 11  6117.
 2013 12  307·
 2014 01 4228.
 2014 02 7031·
 2014 03 9213.
 2014 04 2510.
 2014 05 723·
 2014 06 994.
 2014 07 4020·
 2014 08 1623.
 2014 09 9723·
 2014 10 6912.
 2014 11 42
 2014 12 7221.
 2015 01  1722·


 2015 02  1044·
 2015 03  6241·
 2015 04  8856·
 2015 05  5913.
 2015 06  8028.
 2015 07  8826·
 2015 08  8124·
 2015 09  7225·
 2015 10  5920.
 2015 11  3226·
 2015 12  9841.
 2016 01 3220·
 2016 02 5433·
 2016 03 3219·
 2016 04 533·
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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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