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 Series Title: Employment Level: Cuban, Service Occupations: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 99173.
 2012 03 77185.
 2012 02 36174·
 2012 01 79150·
 2011 12  32147.
 2011 11  25150·
 2011 10  88137.
 2011 09  83134.
 2011 08  50135·
 2011 07  90150.
 2011 06  60151.
 2011 05  4196.
 2011 04  4167.
 2011 03  53147·
 2011 02  64148·
 2011 01  87155·
 2010 12 68164.
 2010 11 23156·
 2010 10 38158.
 2010 09 0139·
 2010 08 44169.
 2010 07 29209.
 2010 06 46216.
 2010 05 39204.
 2010 04 56190·
 2010 03 29180.
 2010 02 76149·
 2010 01 21148.
 2009 12  55181·
 2009 11  5154·
 2009 10  39162·
 2009 09  92168·
 2009 08  17139·
 2009 07  63145.
 2009 06  74120.
 2009 05  20131·
 2009 04  42118·
 2009 03  34112.
 2009 02  44130·
 2009 01  99150.
 2008 12 54143·
 2008 11 76127·
 2008 10 3799.
 2008 09 48119·
 2008 08 6160·
 2008 07 70145.
 2008 06 66167.
 2008 05 13133.
 2008 04 71121·
 2008 03 22149·
 2008 02 68175.
 2008 01 61137.
 2007 12  51124·
 2007 11  65141.
 2007 10  7143·
 2007 09  87146·
 2007 08  70134.
 2007 07  54143·
 2007 06  70145.
 2007 05  11148.
 2007 04  80151.
 2007 03  72152.
 2007 02  70140·
 2007 01  75126·
 2006 12 55121.
 2006 11 25111·
 2006 10 46103·
 2006 09 5093·
 2006 08 97108·
 2006 07 46125.
 2006 06 59114·
 2006 05 29125.
 2006 04 29145.
 2006 03 89123.
 2006 02 98144.
 2006 01 33136·
 2005 12  4104.
 2005 11  38105.
 2005 10  7786.
 2005 09  376.
 2005 08  9599.
 2005 07  9896·
 2005 06  3196.
 2005 05  1187.
 2005 04  492·
 2005 03  2101.
 2005 02  26101·
 2005 01  50102·
 2004 12 56105.
 2004 11 6109.
 2004 10 48107·
 2004 09 3995·
 2004 08 186·
 2004 07 9192·
 2004 06 1099·
 2004 05 23131.
 2004 04 15121·
 2004 03 65141.
 2004 02 50136·
 2004 01 70127.
 2003 12  98128·
 2003 11  59108.
 2003 10  32122·
 2003 09  75102.
 2003 08  7579.
 2003 07  2983.
 2003 06  4351·
 2003 05  5677.
 2003 04  9782.
 2003 03  5893·
 2003 02  9592·
 2003 01  58124.
 2002 12 40119.
 2002 11 51104.
 2002 10 2895.
 2002 09 5191·
 2002 08 388.
 2002 07 4180·
 2002 06 367.
 2002 05 2894·
 2002 04 12105.
 2002 03 84117·
 2002 02 9124.
 2002 01 897·
 2001 12  1796.
 2001 11  62116·
 2001 10  58120.
 2001 09  35132.
 2001 08  95107.
 2001 07  82118.
 2001 06  88116·
 2001 05  79105.
 2001 04  4484.
 2001 03  7494·
 2001 02  63120·
 2001 01  34101·
 2000 12 91111·
 2000 11 96114·
 2000 10 70108.
 2000 09 19113.
 2000 08 86118·
 2000 07 30138·
 2000 06 22125.
 2000 05 78116·
 2000 04 575·
 2000 03 8178.
 2000 02 57130·
 2000 01 80121.
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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, Service 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

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