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 Series Title: Employment Level: Professional and Related Occupations in Mining, quarrying, and oil and gas extraction: NSA
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 2000 01 3466.
 2000 02 155.
 2000 03 6864·
 2000 04 6955·
 2000 05 6362.
 2000 06 965·
 2000 07 6938.
 2000 08 3630.
 2000 09 8313·
 2000 10 4035·
 2000 11 9654·
 2000 12 2764.
 2001 01  4559·
 2001 02  7645·
 2001 03  6255·
 2001 04  8565.
 2001 05  2476.
 2001 06  2486·
 2001 07  479.
 2001 08  8176·
 2001 09  2075.
 2001 10  1578·
 2001 11  8665.
 2001 12  752.
 2002 01 5950·
 2002 02 643.
 2002 03 9565·
 2002 04 8465·
 2002 05 9261·
 2002 06 7962.
 2002 07 4560·
 2002 08 5558·
 2002 09 9354.
 2002 10 4150·
 2002 11 7352.
 2002 12 8959·
 2003 01  6470.
 2003 02  2267·
 2003 03  4267·
 2003 04  8156·
 2003 05  2946.
 2003 06  8044·
 2003 07  4045.
 2003 08  5054·
 2003 09  3850·
 2003 10  9650·
 2003 11  8048.
 2003 12  4058.
 2004 01 6873.
 2004 02 7761·
 2004 03 051.
 2004 04 2054.
 2004 05 1935·
 2004 06 5444.
 2004 07 6348·
 2004 08 8437.
 2004 09 1645·
 2004 10 8535·
 2004 11 5643.
 2004 12 5243·
 2005 01  955.
 2005 02  5171·
 2005 03  9372·
 2005 04  6783·
 2005 05  7373·
 2005 06  5759.
 2005 07  1151.
 2005 08  9966.
 2005 09  1056.
 2005 10  3769.
 2005 11  7367·
 2005 12  4177.
 2006 01 4571·
 2006 02 4776.
 2006 03 6867·
 2006 04 1394·
 2006 05 2885.
 2006 06 6892·
 2006 07 790·
 2006 08 6071·
 2006 09 3479·
 2006 10 774·
 2006 11 3077·
 2006 12 4964·
 2007 01  6359.
 2007 02  9643.
 2007 03  9860·
 2007 04  7673·
 2007 05  4282·
 2007 06  9184.
 2007 07  076.
 2007 08  6055.
 2007 09  2146·
 2007 10  7446·
 2007 11  4945.
 2007 12  4460.
 2008 01 7448·
 2008 02 5168.
 2008 03 8274·
 2008 04 9765.
 2008 05 380·
 2008 06 5584.
 2008 07 62101.
 2008 08 1588·
 2008 09 3293·
 2008 10 4190.
 2008 11 78113·
 2008 12 1676.
 2009 01  1383·
 2009 02  9288.
 2009 03  4287.
 2009 04  4493.
 2009 05  2073·
 2009 06  1482.
 2009 07  9277.
 2009 08  6873.
 2009 09  5448.
 2009 10  3975.
 2009 11  9188·
 2009 12  8282.
 2010 01 4082·
 2010 02 2364·
 2010 03 2755·
 2010 04 761.
 2010 05 2870.
 2010 06 4986·
 2010 07 13101.
 2010 08 85105.
 2010 09 9577·
 2010 10 2275.
 2010 11 8670.
 2010 12 8650·
 2011 01  4170.
 2011 02  7481.
 2011 03  1098·
 2011 04  398·
 2011 05  9079·
 2011 06  6287.
 2011 07  72114·
 2011 08  58114.
 2011 09  9385·
 2011 10  6874.
 2011 11  8678·
 2011 12  9266.
 2012 01 2675.


 2012 02 9897·
 2012 03 88118.
 2012 04 76110·
 2012 05 89108.
 2012 06 84112·
 2012 07 43121·
 2012 08 3138.
 2012 09 8128.
 2012 10 83139·
 2012 11 38126.
 2012 12 93123·
 2013 01  32116.
 2013 02  75132.
 2013 03  85150·
 2013 04  90137.
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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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