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 Series Title: Employment Level: Puerto Rican, Management Occupations: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 92160·
 2012 03 82132.
 2012 02 18129·
 2012 01 9091.
 2011 12  1273·
 2011 11  166·
 2011 10  7670·
 2011 09  84115·
 2011 08  55120.
 2011 07  75107·
 2011 06  91114.
 2011 05  3391·
 2011 04  71109·
 2011 03  86113.
 2011 02  76116.
 2011 01  82146.
 2010 12 35128·
 2010 11 39124.
 2010 10 69122.
 2010 09 98130.
 2010 08 48121.
 2010 07 67106·
 2010 06 33114.
 2010 05 77116.
 2010 04 35118·
 2010 03 27151.
 2010 02 56147·
 2010 01 37156.
 2009 12  47129·
 2009 11  99128·
 2009 10  51135·
 2009 09  23119.
 2009 08  58119·
 2009 07  91117·
 2009 06  54129·
 2009 05  4142·
 2009 04  70130.
 2009 03  34111.
 2009 02  31124·
 2009 01  7495·
 2008 12 898.
 2008 11 8590.
 2008 10 67103.
 2008 09 51110.
 2008 08 21107.
 2008 07 25110·
 2008 06 77139·
 2008 05 81151·
 2008 04 87134·
 2008 03 62149.
 2008 02 98149·
 2008 01 32118·
 2007 12  4108.
 2007 11  26105·
 2007 10  9392.
 2007 09  9996.
 2007 08  9895·
 2007 07  75107.
 2007 06  4992.
 2007 05  098·
 2007 04  2081.
 2007 03  9091.
 2007 02  8087.
 2007 01  8097·
 2006 12 45114·
 2006 11 77104.
 2006 10 24103.
 2006 09 8100.
 2006 08 74108.
 2006 07 6999.
 2006 06 4490.
 2006 05 7893·
 2006 04 3175·
 2006 03 2266.
 2006 02 2789·
 2006 01 9113·
 2005 12  68123·
 2005 11  17117·
 2005 10  86108·
 2005 09  4574.
 2005 08  5989.
 2005 07  6296.
 2005 06  5992.
 2005 05  5684·
 2005 04  585·
 2005 03  8781·
 2005 02  1091.
 2005 01  3581·
 2004 12 3274·
 2004 11 5081·
 2004 10 2583.
 2004 09 284.
 2004 08 8974·
 2004 07 3292·
 2004 06 1886·
 2004 05 199·
 2004 04 53116.
 2004 03 40113·
 2004 02 28117·
 2004 01 1108.
 2003 12  2380.
 2003 11  667.
 2003 10  1592·
 2003 09  9689·
 2003 08  2589.
 2003 07  8597·
 2003 06  6982.
 2003 05  662·
 2003 04  1089.
 2003 03  61104.
 2003 02  3112.
 2003 01  74119·
 2002 12 5283.
 2002 11 3870·
 2002 10 5495.
 2002 09 69109·
 2002 08 52106·
 2002 07 5094·
 2002 06 8573.
 2002 05 8665.
 2002 04 3654·
 2002 03 5281.
 2002 02 8496.
 2002 01 4480·
 2001 12  5479·
 2001 11  2782.
 2001 10  6585.
 2001 09  8787.
 2001 08  8186·
 2001 07  8079·
 2001 06  6481.
 2001 05  8473·
 2001 04  1880.
 2001 03  4598·
 2001 02  4598.
 2001 01  2990·
 2000 12 9084.
 2000 11 7673·
 2000 10 9572.
 2000 09 4263.
 2000 08 4759·
 2000 07 5634.
 2000 06 2842.
 2000 05 6666·
 2000 04 6678.
 2000 03 9283·
 2000 02 8280.
 2000 01 7174.
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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: Puerto Rican, Management 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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