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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 7618.
 2000 02 7910.
 2000 03 43
 2000 04 96.
 2000 05 413.
 2000 06 6
 2000 07 719.
 2000 08 366·
 2000 09 799.
 2000 10 378.
 2000 11 62·
 2000 12 677·
 2001 01  39
 2001 02  5413·
 2001 03  60
 2001 04  4711.
 2001 05  9817.
 2001 06  6516.
 2001 07  7315.
 2001 08  463.
 2001 09  553.
 2001 10  014·
 2001 11  79.
 2001 12  5710·
 2002 01 3711.
 2002 02 165·
 2002 03 498.
 2002 04 9911.
 2002 05 933.
 2002 06 9613.
 2002 07 136·
 2002 08 179.
 2002 09 9919.
 2002 10 4511·
 2002 11 369.
 2002 12 8018·
 2003 01  5520.
 2003 02  9515.
 2003 03  829.
 2003 04  818·
 2003 05  8717·
 2003 06  35.
 2003 07  388.
 2003 08  415.
 2003 09  4610·
 2003 10  507.
 2003 11  179·
 2003 12  33·
 2004 01 510·
 2004 02 446·
 2004 03 587.
 2004 04 3613·
 2004 05 6711·
 2004 06 1514·
 2004 07 2215.
 2004 08 352.
 2004 09 56
 2004 10 215.
 2004 11 985·
 2004 12 186.
 2005 01  2317.
 2005 02  4212.
 2005 03  994·
 2005 04  303·
 2005 05  424.
 2005 06  875·
 2005 07  625.
 2005 08  403.
 2005 09  15
 2005 10  861.
 2005 11  516·
 2005 12  4218·
 2006 01 679.
 2006 02 96
 2006 03 54
 2006 04 556.
 2006 05 4810.
 2006 06 9817·
 2006 07 8310·
 2006 08 2317.
 2006 09 348.
 2006 10 06·
 2006 11 7511·
 2006 12 1616.
 2007 01  2512·
 2007 02  3217.
 2007 03  95
 2007 04  277.
 2007 05  4618·
 2007 06  528·
 2007 07  307·
 2007 08  763·
 2007 09  4812·
 2007 10  41
 2007 11  9312.
 2007 12  77.
 2008 01 69.
 2008 02 63.
 2008 03 2214·
 2008 04 8915.
 2008 05 2112.
 2008 06 7911·
 2008 07 790·
 2008 08 1710.
 2008 09 1811·
 2008 10 15
 2008 11 5310·
 2008 12 829.
 2009 01  4735.
 2009 02  9828.
 2009 03  5633.
 2009 04  820.
 2009 05  8316.
 2009 06  3212.
 2009 07  2629.
 2009 08  859·
 2009 09  2812.
 2009 10  5114.
 2009 11  2714·
 2009 12  3415·
 2010 01 721.
 2010 02 1013·
 2010 03 468.
 2010 04 745.
 2010 05 699·
 2010 06 922.
 2010 07 9616·
 2010 08 4915·
 2010 09 9111·
 2010 10 322·
 2010 11 1416.
 2010 12 2812·
 2011 01  728.
 2011 02  743.
 2011 03  6515.
 2011 04  62·
 2011 05  395·
 2011 06  6212·
 2011 07  357·
 2011 08  16.
 2011 09  4119·
 2011 10  4917.
 2011 11  3814.
 2011 12  5716.
 2012 01 5326·
 2012 02 4214·
 2012 03 1113.
 2012 04 448·
 2012 05 7718·
 2012 06 7215.
 2012 07 1734.
 2012 08 5617.
 2012 09 3815.
 2012 10 9625.
 2012 11 4520·
 2012 12 1213·
 2013 01  8631·
 2013 02  954·
 2013 03  615·
 2013 04  5619·
 2013 05  9619·
 2013 06  7615.
 2013 07  4023.
 2013 08  5721.
 2013 09  6915·
 2013 10  7127.
 2013 11  917·
 2013 12  107.
 2014 01 3028.
 2014 02 3631.
 2014 03 013.
 2014 04 3310.
 2014 05 303.
 2014 06 534·
 2014 07 2720.
 2014 08 7123·
 2014 09 4423·
 2014 10 2912.
 2014 11 289.
 2014 12 9221.
 2015 01  7222·
 2015 02  9544·
 2015 03  6541·
 2015 04  9256.


 2015 05  4013.
 2015 06  828.
 2015 07  2726.
 2015 08  8924.
 2015 09  9825.
 2015 10  4920·
 2015 11  2526.
 2015 12  2741.
 2016 01 2220.
 2016 02 2633·
 2016 03 9919·
 2016 04 7533·
 2016 05 1235.
 2016 06 7017·
 2016 07 1116.
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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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