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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 2018.
 2000 02 9810·
 2000 03 899·
 2000 04 866.
 2000 05 23·
 2000 06 537·
 2000 07 589.
 2000 08 666·
 2000 09 59·
 2000 10 638.
 2000 11 842·
 2000 12 17·
 2001 01  825·
 2001 02  913·
 2001 03  813.
 2001 04  3611.
 2001 05  717·
 2001 06  9916.
 2001 07  8515.
 2001 08  383.
 2001 09  813.
 2001 10  6314·
 2001 11  609·
 2001 12  310·
 2002 01 2911·
 2002 02 585.
 2002 03 938.
 2002 04 4911.
 2002 05 23·
 2002 06 6613.
 2002 07 996·
 2002 08 219.
 2002 09 7419.
 2002 10 9411·
 2002 11 149.
 2002 12 8818.
 2003 01  4720·
 2003 02  7315·
 2003 03  19·
 2003 04  43
 2003 05  4617.
 2003 06  605.
 2003 07  488.
 2003 08  7
 2003 09  2010.
 2003 10  367.
 2003 11  699·
 2003 12  233.
 2004 01 4610·
 2004 02 96.
 2004 03 17.
 2004 04 6013.
 2004 05 2411·
 2004 06 914.
 2004 07 615.
 2004 08 122·
 2004 09 807.
 2004 10 945.
 2004 11 745.
 2004 12 996.
 2005 01  6317·
 2005 02  4512.
 2005 03  164·
 2005 04  653·
 2005 05  494.
 2005 06  685.
 2005 07  715·
 2005 08  793.
 2005 09  387.
 2005 10  961.
 2005 11  1
 2005 12  3518·
 2006 01 579·
 2006 02 846·
 2006 03 950.
 2006 04 52
 2006 05 5410·
 2006 06 1617.
 2006 07 6510·
 2006 08 7417.
 2006 09 68·
 2006 10 96
 2006 11 5011.
 2006 12 7116·
 2007 01  1312.
 2007 02  5817·
 2007 03  116.
 2007 04  367·
 2007 05  118·
 2007 06  568.
 2007 07  37
 2007 08  893.
 2007 09  1912·
 2007 10  750·
 2007 11  4212·
 2007 12  747·
 2008 01 449·
 2008 02 193.
 2008 03 6214·
 2008 04 6015.
 2008 05 7512·
 2008 06 2011·
 2008 07 600.
 2008 08 4110·
 2008 09 3811·
 2008 10 358.
 2008 11 2510·
 2008 12 3629·
 2009 01  8435.
 2009 02  4728·
 2009 03  7033.
 2009 04  9020·
 2009 05  8716.
 2009 06  6012·
 2009 07  3229.
 2009 08  719·
 2009 09  4812.
 2009 10  814.
 2009 11  7414·
 2009 12  7415.
 2010 01 9321·
 2010 02 4613·
 2010 03 848.
 2010 04 185.
 2010 05 729.
 2010 06 57
 2010 07 7516.
 2010 08 4715.
 2010 09 6011·
 2010 10 4622·
 2010 11 8516·
 2010 12 3012.
 2011 01  588.
 2011 02  463.
 2011 03  7715·
 2011 04  612.
 2011 05  905·
 2011 06  1312·
 2011 07  397.
 2011 08  606·
 2011 09  919·
 2011 10  3017·
 2011 11  8314·
 2011 12  7016.
 2012 01 8826.
 2012 02 114·
 2012 03 4713·
 2012 04 618.
 2012 05 2818.
 2012 06 6015·
 2012 07 9534·
 2012 08 2717·
 2012 09 5615·
 2012 10 6325·
 2012 11 1420.
 2012 12 8713.
 2013 01  2031·
 2013 02  914.
 2013 03  1715.
 2013 04  8519·
 2013 05  9619.
 2013 06  5115.
 2013 07  4223.
 2013 08  9021.


 2013 09  8615.
 2013 10  7427·
 2013 11  5217.
 2013 12  967·
 2014 01 1328.
 2014 02 1831.
 2014 03 3513.
 2014 04 2310·
 2014 05 303.
 2014 06 654.
 2014 07 420.
 2014 08 1523·
 2014 09 1023·
 2014 10 1912·
 2014 11 969.
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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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