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 Series Title: Employment Level: Cuban, Personal Care and 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 4727.
 2012 03 1416·
 2012 02 7125.
 2012 01 7126.
 2011 12  9231.
 2011 11  1134·
 2011 10  1032·
 2011 09  9938·
 2011 08  7143.
 2011 07  7531·
 2011 06  1828.
 2011 05  9527·
 2011 04  3714·
 2011 03  889·
 2011 02  915·
 2011 01  224·
 2010 12 6342.
 2010 11 5639.
 2010 10 2032.
 2010 09 9031·
 2010 08 5037.
 2010 07 1248.
 2010 06 1551.
 2010 05 5345·
 2010 04 2424.
 2010 03 1228·
 2010 02 8115·
 2010 01 914·
 2009 12  3520.
 2009 11  3618.
 2009 10  3127.
 2009 09  430·
 2009 08  5917·
 2009 07  9329.
 2009 06  38.
 2009 05  610.
 2009 04  9523.
 2009 03  1415·
 2009 02  6017.
 2009 01  921.
 2008 12 6921.
 2008 11 5518·
 2008 10 9019.
 2008 09 3319·
 2008 08 3317·
 2008 07 9816.
 2008 06 523·
 2008 05 2216·
 2008 04 6018·
 2008 03 4923·
 2008 02 4432·
 2008 01 4432·
 2007 12  5123·
 2007 11  4134.
 2007 10  6930.
 2007 09  9537·
 2007 08  3230·
 2007 07  3029.
 2007 06  6940.
 2007 05  9232.
 2007 04  5432.
 2007 03  9733.
 2007 02  5634.
 2007 01  8117·
 2006 12 9117·
 2006 11 5026.
 2006 10 6818.
 2006 09 3022·
 2006 08 4423.
 2006 07 1923·
 2006 06 6824·
 2006 05 3428·
 2006 04 3836.
 2006 03 6237·
 2006 02 4530·
 2006 01 1131.
 2005 12  2411.
 2005 11  6019·
 2005 10  910.
 2005 09  69.
 2005 08  778·
 2005 07  197·
 2005 06  121.
 2005 05  8811·
 2005 04  9816.
 2005 03  7213·
 2005 02  826·
 2005 01  517.
 2004 12 121·
 2004 11 7610.
 2004 10 419.
 2004 09 157·
 2004 08 6814.
 2004 07 1013·
 2004 06 9016·
 2004 05 2324·
 2004 04 4421.
 2004 03 8325.
 2004 02 6716·
 2004 01 448·
 2003 12  395·
 2003 11  262.
 2003 10  3510·
 2003 09  7315·
 2003 08  7816·
 2003 07  9619·
 2003 06  837.
 2003 05  2815.
 2003 04  1211·
 2003 03  7421.
 2003 02  2224.
 2003 01  5518.
 2002 12 1631.
 2002 11 6624·
 2002 10 9124.
 2002 09 2215·
 2002 08 9114.
 2002 07 614.
 2002 06 538·
 2002 05 2319.
 2002 04 6122·
 2002 03 4821·
 2002 02 9526.
 2002 01 7724.
 2001 12  7916·
 2001 11  7521.
 2001 10  3126.
 2001 09  2920.
 2001 08  1823.
 2001 07  9427.
 2001 06  9817·
 2001 05  4723·
 2001 04  7911.
 2001 03  3513·
 2001 02  6013.
 2001 01  2613·
 2000 12 8811.
 2000 11 5720·
 2000 10 420.
 2000 09 8521.
 2000 08 9522·
 2000 07 3916·
 2000 06 4221·
 2000 05 6818.
 2000 04 7514.
 2000 03 9013·
 2000 02 1419.
 2000 01 4525.
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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, Personal Care and 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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