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 Series Title: Employment Level: Management, Business, and Financial Operations in 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 2138.
 2012 03 85155·
 2012 02 49148·
 2012 01 29125·
 2011 12  82128.
 2011 11  69135.
 2011 10  52127·
 2011 09  22138·
 2011 08  54140.
 2011 07  77113.
 2011 06  80123.
 2011 05  39110.
 2011 04  67101.
 2011 03  89104·
 2011 02  4782·
 2011 01  2481·
 2010 12 9893.
 2010 11 14134·
 2010 10 91133·
 2010 09 46137.
 2010 08 46116.
 2010 07 82112·
 2010 06 75128.
 2010 05 99138.
 2010 04 37128·
 2010 03 50133.
 2010 02 8695·
 2010 01 3101.
 2009 12  21104.
 2009 11  9991.
 2009 10  37101.
 2009 09  0110·
 2009 08  74124·
 2009 07  37121.
 2009 06  66105.
 2009 05  61101.
 2009 04  96114·
 2009 03  95112·
 2009 02  37106.
 2009 01  80108·
 2008 12 12129.
 2008 11 29104.
 2008 10 37123·
 2008 09 75124.
 2008 08 73136·
 2008 07 22128.
 2008 06 78115.
 2008 05 92111.
 2008 04 5595·
 2008 03 7987·
 2008 02 0124.
 2008 01 98130.
 2007 12  57108.
 2007 11  33108·
 2007 10  6498.
 2007 09  89123·
 2007 08  5121.
 2007 07  41121.
 2007 06  5994·
 2007 05  8388·
 2007 04  50105·
 2007 03  83116·
 2007 02  97127·
 2007 01  25108.
 2006 12 66111·
 2006 11 6699·
 2006 10 17105·
 2006 09 83121.
 2006 08 55118.
 2006 07 2396·
 2006 06 8184·
 2006 05 5264·
 2006 04 4161·
 2006 03 956.
 2006 02 7762·
 2006 01 5162.
 2005 12  7570·
 2005 11  664·
 2005 10  1868.
 2005 09  2466·
 2005 08  3377.
 2005 07  2276·
 2005 06  4277.
 2005 05  4072.
 2005 04  1484.
 2005 03  8781.
 2005 02  1277·
 2005 01  9373·
 2004 12 44109·
 2004 11 5984.
 2004 10 1585.
 2004 09 395·
 2004 08 7480·
 2004 07 1873.
 2004 06 6678.
 2004 05 1468·
 2004 04 7951·
 2004 03 7244·
 2004 02 037·
 2004 01 9443.
 2003 12  5966.
 2003 11  5281·
 2003 10  8280·
 2003 09  3985.
 2003 08  4071.
 2003 07  1558·
 2003 06  085.
 2003 05  6688.
 2003 04  7392·
 2003 03  4389·
 2003 02  6572.
 2003 01  2070·
 2002 12 3169·
 2002 11 4278·
 2002 10 1789·
 2002 09 7169.
 2002 08 1746.
 2002 07 4352·
 2002 06 1859·
 2002 05 1270.
 2002 04 5475·
 2002 03 488.
 2002 02 5578·
 2002 01 6377.
 2001 12  9584·
 2001 11  666·
 2001 10  4269·
 2001 09  6860·
 2001 08  1369·
 2001 07  5590.
 2001 06  1781·
 2001 05  9587·
 2001 04  1075.
 2001 03  8471.
 2001 02  4281·
 2001 01  4080·
 2000 12 1176·
 2000 11 4967·
 2000 10 647·
 2000 09 2043·
 2000 08 6658.
 2000 07 3171·
 2000 06 2168·
 2000 05 8164.
 2000 04 5052.
 2000 03 3848.
 2000 02 2552.
 2000 01 9163.
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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: Employment Level: Management, Business, and Financial Operations in 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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