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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 8718·
 2000 02 3610.
 2000 03 969.
 2000 04 396·
 2000 05 623.
 2000 06 617.
 2000 07 369.
 2000 08 186·
 2000 09 15
 2000 10 978.
 2000 11 902·
 2000 12 77.
 2001 01  985.
 2001 02  2613·
 2001 03  713.
 2001 04  5211.
 2001 05  8517.
 2001 06  5416·
 2001 07  1515·
 2001 08  223.
 2001 09  783·
 2001 10  1314·
 2001 11  879·
 2001 12  1010·
 2002 01 011.
 2002 02 605·
 2002 03 738.
 2002 04 3511.
 2002 05 4
 2002 06 7613.
 2002 07 87
 2002 08 439·
 2002 09 6419.
 2002 10 6711.
 2002 11 689.
 2002 12 118·
 2003 01  8020·
 2003 02  6615·
 2003 03  769·
 2003 04  58·
 2003 05  7817·
 2003 06  305.
 2003 07  28·
 2003 08  735·
 2003 09  910·
 2003 10  387.
 2003 11  569·
 2003 12  493·
 2004 01 4710·
 2004 02 0
 2004 03 797.
 2004 04 313·
 2004 05 9411.
 2004 06 4514.
 2004 07 3115.
 2004 08 292.
 2004 09 747·
 2004 10 315·
 2004 11 15·
 2004 12 466·
 2005 01  3817.
 2005 02  3912.
 2005 03  24·
 2005 04  973.
 2005 05  614·
 2005 06  76
 2005 07  735.
 2005 08  533·
 2005 09  447.
 2005 10  741.
 2005 11  75
 2005 12  718.
 2006 01 129.
 2006 02 896·
 2006 03 960.
 2006 04 786.
 2006 05 1510.
 2006 06 317·
 2006 07 5110.
 2006 08 1117.
 2006 09 308·
 2006 10 226.
 2006 11 7511·
 2006 12 7516·
 2007 01  5512.
 2007 02  7817·
 2007 03  336.
 2007 04  637·
 2007 05  1818.
 2007 06  298.
 2007 07  127·
 2007 08  953.
 2007 09  6712·
 2007 10  540·
 2007 11  2612·
 2007 12  167.
 2008 01 799.
 2008 02 62
 2008 03 1114·
 2008 04 9415·
 2008 05 5312·
 2008 06 8311.
 2008 07 310.
 2008 08 2310·
 2008 09 1611.
 2008 10 758.
 2008 11 7410.
 2008 12 2329·
 2009 01  1735·
 2009 02  1928.
 2009 03  5333.
 2009 04  3720·
 2009 05  3316.
 2009 06  2112·
 2009 07  529.
 2009 08  359.
 2009 09  6312·
 2009 10  1414.
 2009 11  9414·
 2009 12  1215.
 2010 01 3221·
 2010 02 5313.
 2010 03 78·
 2010 04 855.
 2010 05 929.
 2010 06 212.
 2010 07 5716.
 2010 08 9915·
 2010 09 1711·
 2010 10 2522·
 2010 11 8216.
 2010 12 2412·
 2011 01  88·
 2011 02  953.
 2011 03  4615.
 2011 04  542·
 2011 05  91
 2011 06  8812·
 2011 07  357.
 2011 08  76·
 2011 09  1519.
 2011 10  8717·
 2011 11  6314·
 2011 12  2816·
 2012 01 5726·
 2012 02 9714.
 2012 03 6813.
 2012 04 858·
 2012 05 1618·
 2012 06 5115·
 2012 07 1334·
 2012 08 7417.
 2012 09 1715·
 2012 10 525·
 2012 11 8420.
 2012 12 1413·
 2013 01  1331·
 2013 02  414·
 2013 03  9715.
 2013 04  4719·
 2013 05  7619.
 2013 06  6415·
 2013 07  8723·
 2013 08  4421.
 2013 09  915.
 2013 10  827.
 2013 11  1917·
 2013 12  997·
 2014 01 3728.
 2014 02 2931·
 2014 03 7913.
 2014 04 3010.
 2014 05 93.
 2014 06 74·
 2014 07 8220.
 2014 08 8323·
 2014 09 123·
 2014 10 5112·
 2014 11 649.
 2014 12 2521·
 2015 01  1422.
 2015 02  9144.
 2015 03  9041·
 2015 04  5256.
 2015 05  7413·
 2015 06  8428.
 2015 07  4526.
 2015 08  8224·
 2015 09  2925.
 2015 10  1220.
 2015 11  4426.
 2015 12  5941·
 2016 01 5620·
 2016 02 8133·
 2016 03 2519·
 2016 04 5333.
 2016 05 5635.
 2016 06 2317·
 2016 07 5016·
 2016 08 585.
 2016 09 539.
 2016 10 9612.
 2016 11 79·
 2016 12 938.
 2017 01  9815.


 2017 02  795·
 2017 03  96·
 2017 04  211.
 2017 05  678.
 2017 06  8111·
 2017 07  9414·
 2017 08  5410.
 2017 09  595·
 2017 10  3210·
 2017 11  255·
 2017 12  44
 2018 01 05·
 2018 02 8916·
 2018 03 8915.
 2018 04 8910.
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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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