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 Series Title: Employment Level: Computer and Mathematical Occupations, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 902442·
 2000 02 892379·
 2000 03 992299·
 2000 04 922254·
 2000 05 652229.
 2000 06 142364.
 2000 07 392366·
 2000 08 712357·
 2000 09 182337.
 2000 10 502270·
 2000 11 932395·
 2000 12 602308.
 2001 01  12439·
 2001 02  792380.
 2001 03  742298·
 2001 04  52325.
 2001 05  882269·
 2001 06  72362·
 2001 07  182381.
 2001 08  752346.
 2001 09  812352·
 2001 10  672352·
 2001 11  902264.
 2001 12  632183·
 2002 01 42165·
 2002 02 132080·
 2002 03 762105·
 2002 04 882224.
 2002 05 72160.
 2002 06 292258·
 2002 07 912302.
 2002 08 962251·
 2002 09 672304.
 2002 10 212283·
 2002 11 712296·
 2002 12 542279·
 2003 01  832355·
 2003 02  202397·
 2003 03  802217.
 2003 04  582199·
 2003 05  812197.
 2003 06  832185.
 2003 07  52160.
 2003 08  262142·
 2003 09  122123.
 2003 10  922210.
 2003 11  602234.
 2003 12  32256.
 2004 01 502250.
 2004 02 532248·
 2004 03 822260·
 2004 04 562184·
 2004 05 972165·
 2004 06 982201·
 2004 07 342302·
 2004 08 822363·
 2004 09 772330.
 2004 10 842335·
 2004 11 42387.
 2004 12 992477.
 2005 01  412430·
 2005 02  922390·
 2005 03  62314.
 2005 04  502232·
 2005 05  642352.
 2005 06  292313·
 2005 07  762311·
 2005 08  62416·
 2005 09  472415·
 2005 10  272412·
 2005 11  782413.
 2005 12  602458.
 2006 01 152427·
 2006 02 422454·
 2006 03 992354·
 2006 04 312306·
 2006 05 182317.
 2006 06 562322·
 2006 07 542292.
 2006 08 642299·
 2006 09 332384.
 2006 10 752317.
 2006 11 782346.
 2006 12 282427.
 2007 01  582372·
 2007 02  322453.
 2007 03  362431·
 2007 04  162536·
 2007 05  212614·
 2007 06  822639·
 2007 07  152660.
 2007 08  492591.
 2007 09  702613·
 2007 10  72478·
 2007 11  292613.
 2007 12  692719.
 2008 01 822619·
 2008 02 152761·
 2008 03 142743.
 2008 04 472782.
 2008 05 562967.
 2008 06 372909.
 2008 07 342931·
 2008 08 762839·
 2008 09 192691.
 2008 10 282629.
 2008 11 772706.
 2008 12 762605·
 2009 01  212567.
 2009 02  722573.
 2009 03  562536·
 2009 04  902660·
 2009 05  362633.
 2009 06  742584.
 2009 07  82663·
 2009 08  882633.
 2009 09  662606·
 2009 10  672738.
 2009 11  972648.
 2009 12  652571.
 2010 01 352560·
 2010 02 62454.
 2010 03 102544.
 2010 04 382706.
 2010 05 952680·
 2010 06 752702.
 2010 07 602670.
 2010 08 522702·
 2010 09 202627.
 2010 10 782589.
 2010 11 862630·
 2010 12 772575.
 2011 01  122515.
 2011 02  482601.
 2011 03  492577·
 2011 04  72668·
 2011 05  942740·
 2011 06  412808·
 2011 07  382854.
 2011 08  602817·
 2011 09  182866·
 2011 10  402706.
 2011 11  662690.
 2011 12  812616·
 2012 01 602643.
 2012 02 512716.


 2012 03 712744·
 2012 04 392731·
 2012 05 192788.
 2012 06 42856.
 2012 07 162892.
 2012 08 282958.
 2012 09 212925.
 2012 10 582941·
 2012 11 882969·
 2012 12 672927·
 2013 01  162841.
 2013 02  942829·
 2013 03  02940·
 2013 04  02867·
 2013 05  802913.
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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: Computer and Mathematical Occupations, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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