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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 01 418·
 2000 02 9610.
 2000 03 969·
 2000 04 636.
 2000 05 803.
 2000 06 32
 2000 07 79.
 2000 08 216.
 2000 09 739·
 2000 10 178.
 2000 11 682·
 2000 12 287·
 2001 01  325·
 2001 02  3213.
 2001 03  943·
 2001 04  2711.
 2001 05  3317·
 2001 06  8316.
 2001 07  2115.
 2001 08  883.
 2001 09  76
 2001 10  314.
 2001 11  139·
 2001 12  610.
 2002 01 8811.
 2002 02 485·
 2002 03 578·
 2002 04 9811.
 2002 05 183·
 2002 06 9913.
 2002 07 666.
 2002 08 119·
 2002 09 4219.
 2002 10 6411·
 2002 11 799·
 2002 12 1118.
 2003 01  5920.
 2003 02  7415·
 2003 03  589·
 2003 04  948.
 2003 05  9617·
 2003 06  855·
 2003 07  918·
 2003 08  795.
 2003 09  310·
 2003 10  807.
 2003 11  919·
 2003 12  103.
 2004 01 5510.
 2004 02 646·
 2004 03 957·
 2004 04 5613·
 2004 05 5311·
 2004 06 7014·
 2004 07 6815.
 2004 08 112.
 2004 09 227.
 2004 10 545·
 2004 11 965.
 2004 12 956·
 2005 01  1317·
 2005 02  9812·
 2005 03  924·
 2005 04  513·
 2005 05  04.
 2005 06  95·
 2005 07  955.
 2005 08  493.
 2005 09  847·
 2005 10  171.
 2005 11  676.
 2005 12  8218·
 2006 01 919·
 2006 02 806·
 2006 03 960·
 2006 04 70
 2006 05 7110·
 2006 06 8017.
 2006 07 9610·
 2006 08 5817·
 2006 09 998.
 2006 10 226·
 2006 11 311.
 2006 12 1316·
 2007 01  7612·
 2007 02  4017·
 2007 03  816·
 2007 04  317.
 2007 05  2718·
 2007 06  888.
 2007 07  18
 2007 08  313.
 2007 09  312.
 2007 10  490·
 2007 11  2612·
 2007 12  567.
 2008 01 789·
 2008 02 303.
 2008 03 4414.
 2008 04 7515.
 2008 05 5412·
 2008 06 6311.
 2008 07 350·
 2008 08 8410.
 2008 09 5611·
 2008 10 38·
 2008 11 8510.
 2008 12 129.
 2009 01  3435·
 2009 02  3228.
 2009 03  933·
 2009 04  7020.
 2009 05  6316·
 2009 06  5812.
 2009 07  4429.
 2009 08  609.
 2009 09  4412.
 2009 10  1114·
 2009 11  5314.
 2009 12  6615·
 2010 01 321.
 2010 02 4913·
 2010 03 238·
 2010 04 65.
 2010 05 899.
 2010 06 53
 2010 07 6916.
 2010 08 2515·
 2010 09 7811·
 2010 10 2922.
 2010 11 2716·
 2010 12 9212·
 2011 01  708.
 2011 02  103.
 2011 03  6015.
 2011 04  12.
 2011 05  925.
 2011 06  5212·
 2011 07  577.
 2011 08  716.
 2011 09  9319·
 2011 10  3617·
 2011 11  3014.
 2011 12  4616.
 2012 01 4826·
 2012 02 7014·
 2012 03 1813·
 2012 04 968·
 2012 05 5818·
 2012 06 8415·
 2012 07 8234·
 2012 08 1417·
 2012 09 4915·
 2012 10 3625·
 2012 11 1220·
 2012 12 2113·
 2013 01  7031·
 2013 02  84·
 2013 03  1915.
 2013 04  5919.
 2013 05  9819.
 2013 06  515.
 2013 07  4223.
 2013 08  9821·
 2013 09  3215.
 2013 10  5927·
 2013 11  4417·
 2013 12  327·
 2014 01 9928·
 2014 02 2831·
 2014 03 1213.
 2014 04 8010·
 2014 05 473·
 2014 06 924·
 2014 07 6020.
 2014 08 8723.
 2014 09 5323.
 2014 10 5912.


 2014 11 259.
 2014 12 2221.
 2015 01  1822.
 2015 02  6044.
 2015 03  7041.
 2015 04  7856·
 2015 05  6613·
 2015 06  5128·
 2015 07  8426.
 2015 08  7524·
 2015 09  4825.
 2015 10  1520·
 2015 11  7826.
 2015 12  5741.
 2016 01 3920·
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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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