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 Series Title: Employment Level: Nonagricultural Industries, Puerto Rican, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 72999·
 2012 03 64990.
 2012 02 90878.
 2012 01 39873.
 2011 12  27784·
 2011 11  68807.
 2011 10  82780.
 2011 09  18792.
 2011 08  4827·
 2011 07  26748.
 2011 06  32808·
 2011 05  52819.
 2011 04  54826.
 2011 03  21826.
 2011 02  52785.
 2011 01  84829.
 2010 12 52766·
 2010 11 59808.
 2010 10 79849.
 2010 09 85822.
 2010 08 0764·
 2010 07 72729.
 2010 06 78741·
 2010 05 48772.
 2010 04 21798·
 2010 03 15771·
 2010 02 35752.
 2010 01 93742·
 2009 12  67812.
 2009 11  72798·
 2009 10  63830.
 2009 09  63775.
 2009 08  13717.
 2009 07  48744·
 2009 06  2765·
 2009 05  29762·
 2009 04  59783·
 2009 03  76731·
 2009 02  12752.
 2009 01  83764.
 2008 12 31860.
 2008 11 11822.
 2008 10 83814·
 2008 09 45790·
 2008 08 80708·
 2008 07 36716·
 2008 06 27747.
 2008 05 59792·
 2008 04 79775.
 2008 03 57783·
 2008 02 82785.
 2008 01 94814·
 2007 12  31763·
 2007 11  6877.
 2007 10  12812·
 2007 09  45760·
 2007 08  59768·
 2007 07  39681.
 2007 06  3745.
 2007 05  31740·
 2007 04  16751.
 2007 03  38744·
 2007 02  68722·
 2007 01  95734·
 2006 12 75760.
 2006 11 10769·
 2006 10 47730·
 2006 09 7663·
 2006 08 38669·
 2006 07 86643·
 2006 06 0673.
 2006 05 62689.
 2006 04 30706·
 2006 03 23733.
 2006 02 18699·
 2006 01 77690·
 2005 12  1726.
 2005 11  3676.
 2005 10  11705.
 2005 09  98639.
 2005 08  26682·
 2005 07  32669·
 2005 06  19708·
 2005 05  93736.
 2005 04  7706.
 2005 03  41724·
 2005 02  4748·
 2005 01  57717·
 2004 12 68775.
 2004 11 89674.
 2004 10 54681.
 2004 09 8657.
 2004 08 60733·
 2004 07 55768.
 2004 06 81747.
 2004 05 91772.
 2004 04 58717.
 2004 03 48704·
 2004 02 25718.
 2004 01 76720.
 2003 12  62748·
 2003 11  98672.
 2003 10  47683.
 2003 09  55691·
 2003 08  99717.
 2003 07  61728.
 2003 06  35707.
 2003 05  49728.
 2003 04  18737·
 2003 03  21711·
 2003 02  3674.
 2003 01  1713.
 2002 12 94653.
 2002 11 83677·
 2002 10 89714.
 2002 09 81751·
 2002 08 29718·
 2002 07 79684·
 2002 06 54659·
 2002 05 82603.
 2002 04 48613.
 2002 03 66623·
 2002 02 88633.
 2002 01 25613.
 2001 12  0626·
 2001 11  25610·
 2001 10  3652.
 2001 09  52673.
 2001 08  61691·
 2001 07  63706·
 2001 06  36692·
 2001 05  34694·
 2001 04  32679.
 2001 03  11703.
 2001 02  51664·
 2001 01  63638.
 2000 12 39621·
 2000 11 27633.
 2000 10 36605·
 2000 09 60595·
 2000 08 31582.
 2000 07 92587.
 2000 06 4658.
 2000 05 69675·
 2000 04 83723·
 2000 03 12700.
 2000 02 92632.
 2000 01 58670.
 1999 12  97572.
 1999 11  19535·
 1999 10  63518.
 1999 09  23479·
 1999 08  98512·
 1999 07  70604·
 1999 06  5635·
 1999 05  81643.
 1999 04  35570·
 1999 03  46553.
 1999 02  32539·
 1999 01  77522.
 1998 12 85552·
 1998 11 55525·
 1998 10 81503.
 1998 09 81527·
 1998 08 48497·
 1998 07 27487.
 1998 06 14535.
 1998 05 86566.
 1998 04 49593.
 1998 03 20539·
 1998 02 20523.
 1998 01 11486.
 1997 12  39536·
 1997 11  14548.
 1997 10  12546.
 1997 09  1548·
 1997 08  93500·
 1997 07  17506·
 1997 06  28504.
 1997 05  25481·
 1997 04  11482·
 1997 03  61480·
 1997 02  30479·
 1997 01  77507.
 1996 12 19485·
 1996 11 1482·
 1996 10 6474·
 1996 09 76444.
 1996 08 67453.
 1996 07 20446·
 1996 06 70458·
 1996 05 67468.
 1996 04 30488.
 1996 03 24491.
 1996 02 58495.
 1996 01 17476.
 1995 12  10492.
 1995 11  45438·
 1995 10  35422·
 1995 09  23421.
 1995 08  31403.
 1995 07  39413·
 1995 06  88418·
 1995 05  2448.
 1995 04  43466·
 1995 03  88457.
 1995 02  29458.
 1995 01  98418·
 1994 12 23443·
 1994 11 0414.
 1994 10 97382·
 1994 09 82383·
 1994 08 70371·
 1994 07 4355.
 1994 06 55373.
 1994 05 47393·
 1994 04 10398.
 1994 03 59394·
 1994 02 90415·
 1994 01 11411.
 1993 12  94446·
 1993 11  45431·
 1993 10  15372·
 1993 09  21407·
 1993 08  96408.
 1993 07  70395.
 1993 06  69438.
 1993 05  44434·
 1993 04  17405·
 1993 03  64404.
 1993 02  14403.
 1993 01  74399·
 1992 12 82401.
 1992 11 85383.
 1992 10 38424·
 1992 09 31421.
 1992 08 43427·
 1992 07 15424.
 1992 06 54433.
 1992 05 59417.
 1992 04 74409·
 1992 03 59390.
 1992 02 0410.
 1992 01 28393.
 1991 12  75402.
 1991 11  50397·
 1991 10  38410·
 1991 09  30441·
 1991 08  72437.
 1991 07  44464.
 1991 06  57446.
 1991 05  86414.
 1991 04  16404.
 1991 03  22400·
 1991 02  70393.
 1991 01  39399·
 1990 12 82391.
 1990 11 93384·
 1990 10 13387·
 1990 09 59389.
 1990 08 70385·
 1990 07 86354·
 1990 06 51346·
 1990 05 40334·
 1990 04 5346.
 1990 03 59356·
 1990 02 72352.
 1990 01 0385·
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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, Women: 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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