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 Series Title: Employment Level: Nonagricultural Industries, Puerto Rican, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 59897.
 2012 03 10874·
 2012 02 14879.
 2012 01 59887.
 2011 12  62813·
 2011 11  37801.
 2011 10  5830·
 2011 09  12868·
 2011 08  88876·
 2011 07  19853·
 2011 06  53856.
 2011 05  19761·
 2011 04  86791·
 2011 03  38819·
 2011 02  71773.
 2011 01  25811·
 2010 12 33822·
 2010 11 99815·
 2010 10 97854·
 2010 09 99896·
 2010 08 29872.
 2010 07 35801·
 2010 06 93773·
 2010 05 36797·
 2010 04 99819·
 2010 03 2875·
 2010 02 49828·
 2010 01 54840·
 2009 12  93806.
 2009 11  82833.
 2009 10  76896.
 2009 09  98832·
 2009 08  88796.
 2009 07  82819·
 2009 06  13800.
 2009 05  36874·
 2009 04  82813.
 2009 03  33808·
 2009 02  22824·
 2009 01  64780·
 2008 12 3850.
 2008 11 92875.
 2008 10 91815.
 2008 09 99847·
 2008 08 99824.
 2008 07 40885·
 2008 06 34927.
 2008 05 87916.
 2008 04 47861.
 2008 03 84754.
 2008 02 87839.
 2008 01 96786.
 2007 12  47809·
 2007 11  56900·
 2007 10  15776.
 2007 09  20768.
 2007 08  24731·
 2007 07  13736·
 2007 06  4755·
 2007 05  79746.
 2007 04  29810·
 2007 03  35802·
 2007 02  69824·
 2007 01  17818·
 2006 12 37832·
 2006 11 31763.
 2006 10 45764·
 2006 09 3737·
 2006 08 49744.
 2006 07 30720.
 2006 06 98796·
 2006 05 30812.
 2006 04 89763.
 2006 03 91807·
 2006 02 13808·
 2006 01 19816.
 2005 12  8829·
 2005 11  94819.
 2005 10  5816·
 2005 09  13787·
 2005 08  82795·
 2005 07  46770·
 2005 06  11727.
 2005 05  82754.
 2005 04  11723·
 2005 03  80846·
 2005 02  95796·
 2005 01  19749.
 2004 12 21730·
 2004 11 50650.
 2004 10 43693·
 2004 09 44712.
 2004 08 61752.
 2004 07 40830.
 2004 06 69776.
 2004 05 1777·
 2004 04 7783·
 2004 03 56784·
 2004 02 11757.
 2004 01 58781.
 2003 12  60840·
 2003 11  29808·
 2003 10  31836·
 2003 09  11783·
 2003 08  45758.
 2003 07  17799.
 2003 06  18772.
 2003 05  79770.
 2003 04  13780.
 2003 03  0754.
 2003 02  85740.
 2003 01  4755.
 2002 12 38666·
 2002 11 85730.
 2002 10 69823.
 2002 09 57846.
 2002 08 21851·
 2002 07 5794.
 2002 06 33719.
 2002 05 32648.
 2002 04 88706·
 2002 03 15718·
 2002 02 65696.
 2002 01 48657·
 2001 12  88698·
 2001 11  97647·
 2001 10  78634·
 2001 09  49686.
 2001 08  98677·
 2001 07  59683·
 2001 06  10709.
 2001 05  4652·
 2001 04  18634·
 2001 03  31643·
 2001 02  23670·
 2001 01  7659.
 2000 12 73677.
 2000 11 70621.
 2000 10 7589·
 2000 09 77605·
 2000 08 13616·
 2000 07 58676.
 2000 06 73657·
 2000 05 60697·
 2000 04 14742·
 2000 03 1743.
 2000 02 59734.
 2000 01 22712.
 1999 12  76617.
 1999 11  32572.
 1999 10  29540·
 1999 09  60585.
 1999 08  25624.
 1999 07  6633.
 1999 06  70601·
 1999 05  92631·
 1999 04  11628.
 1999 03  6601·
 1999 02  95613·
 1999 01  61564·
 1998 12 10659.
 1998 11 38631.
 1998 10 42603.
 1998 09 38642·
 1998 08 21645·
 1998 07 34626·
 1998 06 74605·
 1998 05 17594.
 1998 04 71547.
 1998 03 50552.
 1998 02 78574.
 1998 01 16606·
 1997 12  9663·
 1997 11  68711·
 1997 10  69729·
 1997 09  79724·
 1997 08  11717.
 1997 07  94642·
 1997 06  83614·
 1997 05  77546.
 1997 04  77552·
 1997 03  61568.
 1997 02  83626·
 1997 01  2682.
 1996 12 34640·
 1996 11 25628·
 1996 10 58602.
 1996 09 75563·
 1996 08 30554·
 1996 07 67543·
 1996 06 20489.
 1996 05 39508·
 1996 04 42566.
 1996 03 95582.
 1996 02 7625.
 1996 01 63624.
 1995 12  70579.
 1995 11  39507·
 1995 10  82479.
 1995 09  41512·
 1995 08  39546.
 1995 07  57567·
 1995 06  33582.
 1995 05  94504.
 1995 04  0515·
 1995 03  30477.
 1995 02  73518.
 1995 01  64534.
 1994 12 29556.
 1994 11 64534·
 1994 10 40547.
 1994 09 21520.
 1994 08 24554.
 1994 07 92504·
 1994 06 96480·
 1994 05 59451·
 1994 04 13480·
 1994 03 70450.
 1994 02 29486·
 1994 01 97511·
 1993 12  45517.
 1993 11  80520.
 1993 10  53513·
 1993 09  80529·
 1993 08  95570·
 1993 07  28536·
 1993 06  5563·
 1993 05  76517.
 1993 04  65461·
 1993 03  46440.
 1993 02  49480·
 1993 01  80483·
 1992 12 79469·
 1992 11 91468·
 1992 10 71471.
 1992 09 11498·
 1992 08 88464·
 1992 07 44464·
 1992 06 85458·
 1992 05 12496·
 1992 04 67494·
 1992 03 11510.
 1992 02 30484.
 1992 01 54473.
 1991 12  17503·
 1991 11  25491·
 1991 10  66493·
 1991 09  30504·
 1991 08  63509·
 1991 07  43522.
 1991 06  84483·
 1991 05  59488.
 1991 04  55473·
 1991 03  45477·
 1991 02  95473.
 1991 01  86487.
 1990 12 69483·
 1990 11 39484.
 1990 10 37518·
 1990 09 79505.
 1990 08 5501.
 1990 07 55482·
 1990 06 74468.
 1990 05 33495.
 1990 04 89484.
 1990 03 52495.
 1990 02 92487·
 1990 01 68494.
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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: Nonagricultural Industries, Puerto Rican, Men: 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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