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 Series Title: Employment Level: Cuban, Healthcare Support Occupations: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 1329.
 2012 03 8535·
 2012 02 2921·
 2012 01 2523·
 2011 12  7413·
 2011 11  7919.
 2011 10  4714·
 2011 09  1311·
 2011 08  9418.
 2011 07  6520.
 2011 06  5919·
 2011 05  9325·
 2011 04  2614.
 2011 03  26
 2011 02  7818.
 2011 01  1025.
 2010 12 4311·
 2010 11 6617·
 2010 10 4313·
 2010 09 3316·
 2010 08 4620.
 2010 07 1929.
 2010 06 1632.
 2010 05 5525.
 2010 04 6128.
 2010 03 4125·
 2010 02 8628·
 2010 01 9724·
 2009 12  3822·
 2009 11  1328·
 2009 10  6423·
 2009 09  129·
 2009 08  5319.
 2009 07  4210·
 2009 06  9013·
 2009 05  3815·
 2009 04  512·
 2009 03  6017.
 2009 02  2519·
 2009 01  134.
 2008 12 2124.
 2008 11 2318·
 2008 10 584·
 2008 09 107.
 2008 08 5010.
 2008 07 1413.
 2008 06 219·
 2008 05 83.
 2008 04 683.
 2008 03 3712.
 2008 02 9518·
 2008 01 6527.
 2007 12  7527·
 2007 11  2719·
 2007 10  9913.
 2007 09  7612.
 2007 08  986·
 2007 07  389.
 2007 06  218·
 2007 05  5820·
 2007 04  8530.
 2007 03  5221·
 2007 02  1719.
 2007 01  5618.
 2006 12 1314.
 2006 11 7716.
 2006 10 8314.
 2006 09 409·
 2006 08 8215.
 2006 07 4311.
 2006 06 6218.
 2006 05 415.
 2006 04 1719.
 2006 03 823.
 2006 02 4130.
 2006 01 6624.
 2005 12  7021.
 2005 11  5416.
 2005 10  3514·
 2005 09  7115·
 2005 08  149.
 2005 07  866·
 2005 06  807·
 2005 05  874·
 2005 04  505.
 2005 03  3614·
 2005 02  3921·
 2005 01  1016·
 2004 12 517.
 2004 11 6115.
 2004 10 17.
 2004 09 5816.
 2004 08 2814.
 2004 07 4319·
 2004 06 7920·
 2004 05 7621·
 2004 04 9423·
 2004 03 8821·
 2004 02 109·
 2004 01 3213.
 2003 12  512·
 2003 11  298.
 2003 10  569.
 2003 09  21
 2003 08  852·
 2003 07  2111·
 2003 06  719.
 2003 05  6123·
 2003 04  8522·
 2003 03  4620.
 2003 02  7514·
 2003 01  9717·
 2002 12 8011·
 2002 11 113.
 2002 07 987.
 2002 06 995.
 2002 05 7111.
 2002 04 4727.
 2002 03 3830·
 2002 02 6022.
 2002 01 8316·
 2001 12  129·
 2001 11  8413.
 2001 10  998.
 2001 09  6613·
 2001 08  869.
 2001 07  4810.
 2001 06  6015·
 2001 05  9614·
 2001 04  778·
 2001 03  6910.
 2001 02  1313.
 2001 01  7316.
 2000 12 1614.
 2000 11 913·
 2000 10 5211.
 2000 09 2314·
 2000 08 609.
 2000 07 5713.
 2000 06 9611·
 2000 05 962·
 2000 04 902.
 2000 03 2410.
 2000 02 8914.
 2000 01 6720·
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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, Healthcare Support 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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