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 Series Title: Number Unemployed for 5-14 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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 2012 04 2212·
 2012 03 6924·
 2012 02 5226·
 2012 01 4821·
 2011 12  6011.
 2011 11  9121·
 2011 10  4721·
 2011 09  643.
 2011 08  594.
 2011 07  65.
 2011 06  379.
 2011 05  736·
 2011 04  696.
 2011 03  949·
 2011 02  3516.
 2011 01  1821.
 2010 12 6422.
 2010 11 6311.
 2010 10 7821.
 2010 09 696·
 2010 08 4521.
 2010 07 4411.
 2010 06 2917·
 2010 05 197.
 2010 04 3817·
 2010 03 9417.
 2010 02 7718·
 2010 01 8914.
 2009 12  9416.
 2009 11  9415.
 2009 10  3326.
 2009 09  2124·
 2009 08  8623.
 2009 07  5127.
 2009 06  3735·
 2009 05  8631.
 2009 04  1760.
 2009 03  9842·
 2009 02  5125.
 2009 01  7810.
 2008 12 105.
 2008 11 8922.
 2008 10 623.
 2008 09 145·
 2008 08 181.
 2008 07 75·
 2008 06 849·
 2008 05 41
 2008 04 142·
 2008 03 598·
 2008 02 558·
 2008 01 2617.
 2007 12  9913·
 2007 11  76
 2007 10  373.
 2007 09  644.
 2007 08  015.
 2007 07  1619.
 2007 06  1824.
 2007 05  75
 2007 04  655.
 2007 03  58
 2007 02  127.
 2007 01  223.
 2006 12 728.
 2006 11 117·
 2006 10 558.
 2006 09 143·
 2006 08 1911.
 2006 07 68.
 2006 06 1210·
 2006 05 52.
 2006 04 323·
 2006 03 99
 2006 02 708.
 2006 01 9511·
 2005 12  62
 2005 11  727·
 2005 10  411.
 2005 09  280.
 2005 08  853.
 2005 07  329.
 2005 06  6510.
 2005 05  735.
 2005 04  993·
 2005 03  114·
 2005 02  24.
 2005 01  248.
 2004 12 326·
 2004 11 649.
 2004 10 43
 2004 09 11.
 2004 08 333·
 2004 07 744·
 2004 06 98
 2004 05 463·
 2004 04 782.
 2004 03 485·
 2004 02 76.
 2004 01 3011.
 2003 12  678·
 2003 11  163.
 2003 10  324.
 2003 09  477·
 2003 08  2510.
 2003 07  3611·
 2003 06  6111·
 2003 05  16
 2003 04  311·
 2003 03  8918·
 2003 02  715·
 2003 01  8016.
 2002 12 7614·
 2002 11 8210.
 2002 10 812.
 2002 09 1020·
 2002 08 4511·
 2002 07 47
 2002 06 2611.
 2002 05 98
 2002 04 3510·
 2002 03 407.
 2002 02 5018·
 2002 01 6616·
 2001 12  9613.
 2001 11  426·
 2001 10  935.
 2001 09  556.
 2001 08  510·
 2001 07  612.
 2001 06  925·
 2001 05  374·
 2001 04  605.
 2001 03  287.
 2001 02  1010·
 2001 01  42·
 2000 12 885·
 2000 11 05.
 2000 10 3511·
 2000 09 756.
 2000 08 39
 2000 07 583.
 2000 06 815.
 2000 05 9615.
 2000 04 8810.
 2000 03 96.
 2000 02 8412·
 2000 01 36
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: 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 5-14 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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