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 Series Title: Number Unemployed for 27 Weeks and over, 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 04 218·
 2012 03 1913·
 2012 02 5719.
 2012 01 9321·
 2011 12  1123·
 2011 11  9429.
 2011 10  3227.
 2011 09  4020.
 2011 08  1733.
 2011 07  1830.
 2011 06  5715.
 2011 05  3612.
 2011 04  9013.
 2011 03  7218.
 2011 02  4714·
 2011 01  2427·
 2010 12 535.
 2010 11 6227·
 2010 10 3837.
 2010 09 7535.
 2010 08 6356.
 2010 07 2143·
 2010 06 9433.
 2010 05 8122·
 2010 04 8946·
 2010 03 538.
 2010 02 243·
 2010 01 6329·
 2009 12  3339·
 2009 11  9637·
 2009 10  7630.
 2009 09  6435.
 2009 08  7046·
 2009 07  9925·
 2009 06  5215.
 2009 05  5413.
 2009 04  217·
 2009 03  488·
 2009 02  953·
 2009 01  266·
 2008 12 535·
 2008 11 990.
 2008 10 920·
 2008 09 07.
 2008 08 748.
 2008 07 328·
 2008 06 566.
 2008 05 203.
 2008 04 417.
 2008 03 56
 2008 02 254·
 2008 01 550.
 2007 12  521·
 2007 11  14·
 2007 10  61
 2007 09  995.
 2007 08  354.
 2007 07  240.
 2007 06  530.
 2007 05  722.
 2007 04  405·
 2007 03  74.
 2007 02  142·
 2007 01  170·
 2006 12 410.
 2006 11 571.
 2006 10 811.
 2006 09 4
 2006 08 393.
 2006 07 45·
 2006 06 175.
 2006 05 264·
 2006 04 604·
 2006 03 6
 2006 02 101.
 2006 01 31·
 2005 12  540.
 2005 11  452.
 2005 10  74
 2005 09  806.
 2005 08  973·
 2005 07  273.
 2005 06  456.
 2005 05  257.
 2005 04  886.
 2005 03  8313·
 2005 02  870·
 2005 01  320.
 2004 12 530.
 2004 11 705.
 2004 10 8810.
 2004 09 201.
 2004 08 435.
 2004 07 718·
 2004 06 613·
 2004 05 347·
 2004 04 3214.
 2004 03 916.
 2004 02 438·
 2004 01 437·
 2003 12  2210.
 2003 11  6212·
 2003 10  9711·
 2003 09  418.
 2003 08  380.
 2003 07  4117.
 2003 06  1210.
 2003 05  4612·
 2003 04  3016.
 2003 03  1013.
 2003 02  08.
 2003 01  48.
 2002 12 736.
 2002 11 746.
 2002 10 983·
 2002 09 841.
 2002 08 6811·
 2002 07 677·
 2002 06 718.
 2002 05 788·
 2002 04 413·
 2002 03 446.
 2002 02 60.
 2002 01 8
 2001 12  413·
 2001 11  873.
 2001 10  1510·
 2001 09  1610.
 2001 08  44
 2001 07  2
 2001 06  380.
 2001 05  720.
 2001 04  51
 2001 03  220.
 2001 02  350·
 2001 01  702·
 2000 12 866.
 2000 11 34.
 2000 10 9611.
 2000 09 295·
 2000 08 17.
 2000 07 261·
 2000 06 330·
 2000 05 931.
 2000 04 701·
 2000 03 993·
 2000 02 853·
 2000 01 321.
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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 27 Weeks and over, 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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