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 Series Title: Employment Level: Office and Administrative Support 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 04 376·
 2012 03 1556·
 2012 02 4453·
 2012 01 041.
 2011 12  1549.
 2011 11  2549·
 2011 10  6770.
 2011 09  759.
 2011 08  9466·
 2011 07  3482·
 2011 06  9076.
 2011 05  1372.
 2011 04  9051·
 2011 03  2347·
 2011 02  2744.
 2011 01  6247·
 2010 12 7850·
 2010 11 9849.
 2010 10 1661.
 2010 09 2255·
 2010 08 5857·
 2010 07 9255.
 2010 06 1960.
 2010 05 8974.
 2010 04 5764·
 2010 03 6159.
 2010 02 2563.
 2010 01 8141·
 2009 12  2336.
 2009 11  8740·
 2009 10  4647·
 2009 09  4243.
 2009 08  3458·
 2009 07  7656.
 2009 06  2142·
 2009 05  4269.
 2009 04  8866.
 2009 03  6067.
 2009 02  1190·
 2009 01  7484·
 2008 12 1244.
 2008 11 9659·
 2008 10 661.
 2008 09 5873.
 2008 08 5681·
 2008 07 6561.
 2008 06 1856·
 2008 05 3845.
 2008 04 9450·
 2008 03 7352·
 2008 02 8450.
 2008 01 8449·
 2007 12  2949·
 2007 11  5467·
 2007 10  6863·
 2007 09  8861.
 2007 08  8568·
 2007 07  6258.
 2007 06  5860.
 2007 05  7152.
 2007 04  1256.
 2007 03  8058.
 2007 02  6661·
 2007 01  7656·
 2006 12 8559.
 2006 11 1577·
 2006 10 3164·
 2006 09 7353·
 2006 08 756.
 2006 07 9753.
 2006 06 1456·
 2006 05 5648.
 2006 04 047.
 2006 03 8547.
 2006 02 546·
 2006 01 4353·
 2005 12  1752.
 2005 11  5954·
 2005 10  1660·
 2005 09  8063.
 2005 08  3267.
 2005 07  2562.
 2005 06  8569·
 2005 05  3554·
 2005 04  4555.
 2005 03  1751.
 2005 02  7548·
 2005 01  238.
 2004 12 8354·
 2004 11 8959.
 2004 10 7452·
 2004 09 047.
 2004 08 9640·
 2004 07 2534·
 2004 06 9429·
 2004 05 7538.
 2004 04 5838·
 2004 03 3030·
 2004 02 7342.
 2004 01 9437·
 2003 12  7143·
 2003 11  3756.
 2003 10  7636.
 2003 09  5152.
 2003 08  5957·
 2003 07  177.
 2003 06  8868·
 2003 05  6753·
 2003 04  7446·
 2003 03  434·
 2003 02  2344.
 2003 01  8545.
 2002 12 9043·
 2002 11 5461.
 2002 10 2037·
 2002 09 7552·
 2002 08 743.
 2002 07 8239·
 2002 06 4033.
 2002 05 3035.
 2002 04 5340.
 2002 03 4436.
 2002 02 7342.
 2002 01 6937.
 2001 12  7542.
 2001 11  2264.
 2001 10  3067.
 2001 09  3863·
 2001 08  5160.
 2001 07  2352.
 2001 06  5039·
 2001 05  449·
 2001 04  8146.
 2001 03  7856.
 2001 02  9560.
 2001 01  6250.
 2000 12 8954·
 2000 11 4462·
 2000 10 5450·
 2000 09 3148.
 2000 08 2648·
 2000 07 233·
 2000 06 3938·
 2000 05 5635.
 2000 04 6826.
 2000 03 6036·
 2000 02 8833.
 2000 01 540·
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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: Office and Administrative Support 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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