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 Series Title: Employment Level: Professional and Related Occupations 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 32110.
 2012 03 66118.
 2012 02 8097·
 2012 01 1875.
 2011 12  5366.
 2011 11  5778·
 2011 10  474.
 2011 09  085.
 2011 08  28114.
 2011 07  34114·
 2011 06  1787.
 2011 05  6779.
 2011 04  898·
 2011 03  7898.
 2011 02  3281.
 2011 01  6570·
 2010 12 6650·
 2010 11 9670·
 2010 10 8575·
 2010 09 6277.
 2010 08 5105.
 2010 07 21101.
 2010 06 4186·
 2010 05 5270.
 2010 04 4961·
 2010 03 755·
 2010 02 8664·
 2010 01 5682·
 2009 12  4982.
 2009 11  3888.
 2009 10  3475·
 2009 09  1648.
 2009 08  8173·
 2009 07  2077·
 2009 06  2482·
 2009 05  273·
 2009 04  4393·
 2009 03  8587.
 2009 02  1688.
 2009 01  983.
 2008 12 6376·
 2008 11 88113.
 2008 10 190.
 2008 09 5593·
 2008 08 9088·
 2008 07 12101.
 2008 06 8984·
 2008 05 8480.
 2008 04 065.
 2008 03 6374.
 2008 02 2068·
 2008 01 6548.
 2007 12  9360.
 2007 11  7445·
 2007 10  5746.
 2007 09  9446·
 2007 08  9555.
 2007 07  076·
 2007 06  8684.
 2007 05  8882.
 2007 04  5573·
 2007 03  2460·
 2007 02  2143·
 2007 01  9259.
 2006 12 5064·
 2006 11 5177·
 2006 10 074.
 2006 09 7679.
 2006 08 7971.
 2006 07 1490·
 2006 06 8692.
 2006 05 3285·
 2006 04 6994.
 2006 03 6967.
 2006 02 6776·
 2006 01 8271.
 2005 12  6977·
 2005 11  9867.
 2005 10  5569·
 2005 09  6756.
 2005 08  5466·
 2005 07  851.
 2005 06  8959·
 2005 05  5973.
 2005 04  2783.
 2005 03  2972·
 2005 02  3171.
 2005 01  5055.
 2004 12 1043·
 2004 11 2043.
 2004 10 6935.
 2004 09 6045.
 2004 08 5637·
 2004 07 6148·
 2004 06 1644·
 2004 05 3335·
 2004 04 3954·
 2004 03 5951.
 2004 02 1161·
 2004 01 3973.
 2003 12  6058.
 2003 11  4548.
 2003 10  1550·
 2003 09  7150.
 2003 08  4554·
 2003 07  7745.
 2003 06  1744·
 2003 05  4846.
 2003 04  4356·
 2003 03  3667.
 2003 02  2967.
 2003 01  1570.
 2002 12 3059.
 2002 11 2952·
 2002 10 9150.
 2002 09 4154.
 2002 08 658.
 2002 07 8760·
 2002 06 6362·
 2002 05 2061·
 2002 04 9765·
 2002 03 6665·
 2002 02 3543.
 2002 01 7150·
 2001 12  5352·
 2001 11  5065·
 2001 10  2078·
 2001 09  3875·
 2001 08  5076.
 2001 07  4379.
 2001 06  5486.
 2001 05  9176·
 2001 04  8865·
 2001 03  7855.
 2001 02  145·
 2001 01  2359·
 2000 12 9264.
 2000 11 1254.
 2000 10 5035.
 2000 09 5413·
 2000 08 1230·
 2000 07 2638·
 2000 06 1265.
 2000 05 2862·
 2000 04 2555·
 2000 03 2764·
 2000 02 2655.
 2000 01 1366.
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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: Professional and Related Occupations 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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