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 Series Title: Employment Level: Cuban, Food Preparation and Serving Related Occupations: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 729.
 2012 03 7331.
 2012 02 2737.
 2012 01 9846.
 2011 12  3849.
 2011 11  9948.
 2011 10  3943·
 2011 09  4332·
 2011 08  7832.
 2011 07  6848·
 2011 06  9553·
 2011 05  3046·
 2011 04  7952.
 2011 03  6040.
 2011 02  926·
 2011 01  432.
 2010 12 1544.
 2010 11 8347·
 2010 10 1959.
 2010 09 3445.
 2010 08 8845·
 2010 07 6836.
 2010 06 8749·
 2010 05 1342.
 2010 04 2341·
 2010 03 7128·
 2010 02 133.
 2010 01 6236.
 2009 12  6954·
 2009 11  7638.
 2009 10  7438·
 2009 09  2352.
 2009 08  332.
 2009 07  8732·
 2009 06  4431·
 2009 05  6737.
 2009 04  2521·
 2009 03  3719·
 2009 02  7418·
 2009 01  8720.
 2008 12 6021·
 2008 11 8222.
 2008 10 5121·
 2008 09 328·
 2008 08 5930·
 2008 07 430·
 2008 06 9033·
 2008 05 5917·
 2008 04 9724·
 2008 03 1022·
 2008 02 2733.
 2008 01 2317.
 2007 12  7422.
 2007 11  3134.
 2007 10  2529·
 2007 09  9035·
 2007 08  1533·
 2007 07  2440·
 2007 06  7332.
 2007 05  7930.
 2007 04  7230.
 2007 03  7135.
 2007 02  8336.
 2007 01  3543.
 2006 12 2044·
 2006 11 7833.
 2006 10 9329·
 2006 09 2631.
 2006 08 5825.
 2006 07 7636·
 2006 06 6624.
 2006 05 4630.
 2006 04 1322·
 2006 03 2314.
 2006 02 9125·
 2006 01 1535·
 2005 12  3527·
 2005 11  028·
 2005 10  7821.
 2005 09  7710·
 2005 08  9915.
 2005 07  1416·
 2005 06  688·
 2005 05  120·
 2005 04  524.
 2005 03  9729·
 2005 02  2228.
 2005 01  8138.
 2004 12 7929·
 2004 11 418.
 2004 10 2918.
 2004 09 3618·
 2004 08 7116.
 2004 07 1813·
 2004 06 114.
 2004 05 1127·
 2004 04 5717.
 2004 03 4535·
 2004 02 7641·
 2004 01 7438.
 2003 12  3839.
 2003 11  1823·
 2003 10  1734.
 2003 09  1921.
 2003 08  3724·
 2003 07  9224·
 2003 06  139.
 2003 05  6713.
 2003 04  721.
 2003 03  4923.
 2003 02  7517.
 2003 01  6031.
 2002 12 2121·
 2002 11 9623.
 2002 10 4222.
 2002 09 6916·
 2002 08 8215.
 2002 07 6420.
 2002 06 7716·
 2002 05 8624.
 2002 04 1321.
 2002 03 1129.
 2002 02 6829.
 2002 01 3315.
 2001 12  6612·
 2001 11  1712.
 2001 10  2717·
 2001 09  5124.
 2001 08  1522.
 2001 07  9024·
 2001 06  9230.
 2001 05  1130.
 2001 04  6237·
 2001 03  6143.
 2001 02  2757.
 2001 01  735·
 2000 12 3238·
 2000 11 8734·
 2000 10 1826·
 2000 09 5830·
 2000 08 7427·
 2000 07 4941.
 2000 06 8036·
 2000 05 834·
 2000 04 6524·
 2000 03 5423.
 2000 02 5034·
 2000 01 2625.
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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, Food Preparation and Serving Related 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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