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 Series Title: Employment Level: Cuban, Protective Service Occupations: NSA
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 2012 04 9121·
 2012 03 7129.
 2012 02 3623·
 2012 01 3719.
 2011 12  537·
 2011 11  618.
 2011 10  428·
 2011 09  816.
 2011 08  5020.
 2011 07  1733·
 2011 06  1827.
 2011 05  4624.
 2011 04  3238·
 2011 03  2232.
 2011 02  7630·
 2011 01  9525.
 2010 12 7528.
 2010 11 8315.
 2010 10 5417·
 2010 09 2525·
 2010 08 8022·
 2010 07 3138·
 2010 06 1635.
 2010 05 3036·
 2010 04 7130·
 2010 03 2242.
 2010 02 4925·
 2010 01 2917·
 2009 12  9935.
 2009 11  3926.
 2009 10  6623·
 2009 09  6616.
 2009 08  4013.
 2009 07  8830.
 2009 06  614·
 2009 05  1028·
 2009 04  9424·
 2009 03  123·
 2009 02  3023·
 2009 01  5523.
 2008 12 8530.
 2008 11 3426·
 2008 10 2714·
 2008 09 2119.
 2008 08 6628.
 2008 07 7036·
 2008 06 951·
 2008 05 5243·
 2008 04 1033·
 2008 03 1330.
 2008 02 1527·
 2008 01 1719·
 2007 12  1918.
 2007 11  9716.
 2007 10  819.
 2007 09  924·
 2007 08  1725·
 2007 07  7825·
 2007 06  7519.
 2007 05  4919.
 2007 04  5619.
 2007 03  3829.
 2007 02  2925.
 2007 01  8032.
 2006 12 1029.
 2006 11 8219.
 2006 10 819·
 2006 09 7118.
 2006 08 8020.
 2006 07 4426.
 2006 06 7619.
 2006 05 1719·
 2006 04 9110.
 2006 03 7910·
 2006 02 1919.
 2006 01 3717·
 2005 12  9515·
 2005 11  69
 2005 10  519·
 2005 09  745·
 2005 08  6514·
 2005 07  2118.
 2005 06  1018.
 2005 05  9818·
 2005 04  316·
 2005 03  665·
 2005 02  585·
 2005 01  45.
 2004 12 3413.
 2004 11 6115·
 2004 10 8422.
 2004 09 915.
 2004 08 88.
 2004 07 8812.
 2004 06 014·
 2004 05 5920.
 2004 04 027·
 2004 03 5319.
 2004 02 4422.
 2004 01 2317.
 2003 12  1216·
 2003 11  8924·
 2003 10  8021.
 2003 09  9421·
 2003 08  6820.
 2003 07  5014·
 2003 06  948·
 2003 05  9114·
 2003 04  2015.
 2003 03  2016.
 2003 02  115.
 2003 01  6032·
 2002 12 4133.
 2002 11 534.
 2002 10 3729.
 2002 09 6925·
 2002 08 3322·
 2002 07 3712·
 2002 06 6610·
 2002 05 1214·
 2002 04 2116·
 2002 03 7111·
 2002 02 7616.
 2002 01 913·
 2001 12  5515·
 2001 11  9019·
 2001 10  7918.
 2001 09  322·
 2001 08  1218·
 2001 07  121.
 2001 06  1318·
 2001 05  6316·
 2001 04  9011.
 2001 03  35
 2001 02  427·
 2001 01  8411·
 2000 12 168·
 2000 11 4914.
 2000 10 5314·
 2000 09 8614.
 2000 08 4026·
 2000 07 2429·
 2000 06 5918.
 2000 05 1121.
 2000 04 378.
 2000 03 677·
 2000 02 9812.
 2000 01 2910·
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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, Protective Service Occupations: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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