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 Series Title: Employment Level: Cuban, Legal Occupations: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 628·
 2012 03 1716.
 2012 02 6319·
 2012 01 9220.
 2011 12  727.
 2011 11  7811.
 2011 10  83
 2011 09  9312·
 2011 08  9310·
 2011 07  258.
 2011 06  9214.
 2011 05  813·
 2011 04  1711.
 2011 03  3911·
 2011 02  112.
 2011 01  9919·
 2010 12 213.
 2010 11 289·
 2010 10 507·
 2010 09 1618·
 2010 08 518.
 2010 07 2315·
 2010 06 113·
 2010 05 27
 2010 04 959.
 2010 03 8013.
 2010 02 42
 2010 01 5111.
 2009 12  4015.
 2009 11  818.
 2009 10  859.
 2009 09  3110.
 2009 08  173.
 2009 07  335·
 2009 06  705.
 2009 05  383.
 2009 04  256·
 2009 03  687.
 2009 02  5810.
 2009 01  6511·
 2008 12 908.
 2008 11 415·
 2008 10 374.
 2008 09 313·
 2008 08 626·
 2008 07 369·
 2008 06 2116.
 2008 05 8014.
 2008 04 1713.
 2008 03 5814·
 2008 02 486.
 2008 01 8214·
 2007 12  5611·
 2007 11  388·
 2007 10  7910·
 2007 09  313.
 2007 08  28·
 2007 07  356·
 2007 06  44.
 2007 05  469·
 2007 04  83·
 2007 03  299.
 2007 02  359.
 2007 01  7013·
 2006 12 4813·
 2006 11 267.
 2006 10 94.
 2006 09 740·
 2006 05 234.
 2006 04 60
 2006 03 906.
 2006 02 517·
 2006 01 5811·
 2005 12  857.
 2005 11  668.
 2005 10  2010.
 2005 09  3
 2005 08  8412·
 2005 07  507.
 2005 06  265.
 2005 05  348.
 2005 04  645·
 2005 03  799·
 2005 02  38
 2005 01  5211·
 2004 12 5613·
 2004 11 167·
 2004 10 4910.
 2004 09 8116·
 2004 08 1716.
 2004 07 5015·
 2004 06 8013.
 2004 05 725·
 2004 04 285.
 2004 03 9210.
 2004 02 7312·
 2004 01 09·
 2003 12  9613·
 2003 11  823.
 2003 09  997·
 2003 08  677·
 2003 07  5310.
 2003 06  8114.
 2003 05  519.
 2003 04  967·
 2003 03  564.
 2003 02  796·
 2003 01  496.
 2002 12 409.
 2002 11 859·
 2002 10 866.
 2002 09 379.
 2002 08 7213.
 2002 07 489.
 2002 06 4313·
 2002 05 8316·
 2002 04 936·
 2002 03 769·
 2002 02 1113·
 2002 01 829.
 2001 12  3015·
 2001 11  268·
 2001 10  78
 2001 09  539·
 2001 08  313.
 2001 07  806.
 2001 06  5810.
 2001 05  4113.
 2001 04  739.
 2001 03  4413·
 2001 02  8810·
 2001 01  143.
 2000 12 565.
 2000 11 498.
 2000 10 3014.
 2000 09 6614·
 2000 08 612.
 2000 07 539.
 2000 06 7411·
 2000 05 189.
 2000 04 725.
 2000 03 389.
 2000 02 313·
 2000 01 126.
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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, Legal Occupations: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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