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 Series Title: Employment Level: Cuban, Architecture and Engineering Occupations: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 316·
 2012 03 150.
 2012 02 40
 2012 01 7611·
 2011 12  4215·
 2011 11  6115·
 2011 10  5815.
 2011 09  879·
 2011 08  858·
 2011 07  4314·
 2011 06  147·
 2011 05  3522.
 2011 04  8222·
 2011 03  4213.
 2011 02  2117·
 2011 01  638·
 2010 12 99.
 2010 11 6611·
 2010 10 1710·
 2010 09 4111·
 2010 08 6511·
 2010 07 466.
 2010 06 667·
 2010 05 626.
 2010 04 7813.
 2010 03 3812.
 2010 02 5418.
 2010 01 4613.
 2009 12  96
 2009 11  2521·
 2009 10  9620·
 2009 09  3725·
 2009 08  9523.
 2009 07  1221.
 2009 06  2822.
 2009 05  317·
 2009 04  7621·
 2009 03  3213·
 2009 02  149.
 2009 01  4017·
 2008 12 634.
 2008 11 418.
 2008 10 417·
 2008 09 6615.
 2008 08 811.
 2008 07 2026·
 2008 06 2326·
 2008 05 2622.
 2008 04 8628.
 2008 03 7724.
 2008 02 9718.
 2008 01 8818·
 2007 12  9716.
 2007 11  4311·
 2007 10  2612·
 2007 09  4711.
 2007 08  6621·
 2007 07  7535·
 2007 06  9831·
 2007 05  2219·
 2007 04  4514·
 2007 02  544·
 2007 01  2613·
 2006 12 5716.
 2006 11 823·
 2006 10 8715.
 2006 09 4927·
 2006 08 2127·
 2006 07 5524.
 2006 06 525·
 2006 05 2718·
 2006 04 821·
 2006 03 1219·
 2006 02 6612·
 2006 01 5112·
 2005 12  3715·
 2005 11  3019·
 2005 10  5018·
 2005 09  3212·
 2005 08  5316·
 2005 07  849.
 2005 06  652·
 2005 05  94.
 2005 04  2513·
 2005 03  7412·
 2005 02  428.
 2005 01  448.
 2004 12 477.
 2004 11 267·
 2004 10 383.
 2004 09 256.
 2004 08 3711.
 2004 07 9019·
 2004 06 3517·
 2004 05 6515·
 2004 04 4111·
 2004 03 413·
 2004 02 389.
 2004 01 24.
 2003 12  274.
 2003 11  8010·
 2003 10  806.
 2003 08  06.
 2003 07  9010.
 2003 06  3210·
 2003 05  1814·
 2003 04  4511.
 2003 03  474·
 2003 02  4811.
 2003 01  324.
 2002 12 507·
 2002 11 45
 2002 10 31.
 2002 07 3010.
 2002 06 5410.
 2002 05 516.
 2002 03 973·
 2002 02 436·
 2002 01 20
 2001 12  6112.
 2001 11  565·
 2001 10  295·
 2001 09  3510.
 2001 08  924·
 2001 07  304.
 2001 06  674·
 2001 03  1212.
 2001 02  9018·
 2001 01  9513.
 2000 12 6618.
 2000 11 9015.
 2000 10 2314.
 2000 09 5112.
 2000 08 578.
 2000 07 308·
 2000 06 8610.
 2000 05 2310.
 2000 04 9611.
 2000 03 2111.
 2000 02 979·
 2000 01 6212.
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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: Cuban, Architecture and Engineering Occupations: 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

Make charts for Okun's Law and Phillip's Curve

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