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 Series Title: Employment Level: Nonagricultural Industries, 20 years and over, 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 73958·
 2012 03 16953.
 2012 02 32833·
 2012 01 34828·
 2011 12  64753·
 2011 11  63769·
 2011 10  73748.
 2011 09  68762·
 2011 08  3808·
 2011 07  89734·
 2011 06  96791·
 2011 05  82802.
 2011 04  39815·
 2011 03  76802.
 2011 02  15766.
 2011 01  20808.
 2010 12 49748·
 2010 11 32789·
 2010 10 66823.
 2010 09 51800.
 2010 08 33728·
 2010 07 87686·
 2010 06 13709.
 2010 05 69743.
 2010 04 16765.
 2010 03 98732·
 2010 02 44716·
 2010 01 94718·
 2009 12  48775·
 2009 11  47753·
 2009 10  72780·
 2009 09  69738·
 2009 08  5684.
 2009 07  41700.
 2009 06  34731·
 2009 05  64733·
 2009 04  88749·
 2009 03  11693·
 2009 02  93704.
 2009 01  73719·
 2008 12 21804.
 2008 11 14794·
 2008 10 38763.
 2008 09 16749·
 2008 08 56676.
 2008 07 31686·
 2008 06 81721.
 2008 05 35757.
 2008 04 67731.
 2008 03 70751·
 2008 02 60733·
 2008 01 0755.
 2007 12  54709·
 2007 11  61806.
 2007 10  38766.
 2007 09  7718.
 2007 08  44737·
 2007 07  62652·
 2007 06  3718·
 2007 05  72711.
 2007 04  87711·
 2007 03  54713.
 2007 02  67690.
 2007 01  42698·
 2006 12 58712·
 2006 11 43716·
 2006 10 69687·
 2006 09 84631.
 2006 08 57629·
 2006 07 62606.
 2006 06 72639·
 2006 05 93661·
 2006 04 10678·
 2006 03 66707.
 2006 02 63668·
 2006 01 89657.
 2005 12  68689·
 2005 11  39636·
 2005 10  56669.
 2005 09  14595·
 2005 08  5648·
 2005 07  85623.
 2005 06  87676.
 2005 05  40696.
 2005 04  22661·
 2005 03  38682.
 2005 02  21695·
 2005 01  59679·
 2004 12 44728.
 2004 11 53625·
 2004 10 44649·
 2004 09 90632.
 2004 08 22690.
 2004 07 12730.
 2004 06 71713·
 2004 05 78733·
 2004 04 31695.
 2004 03 22684·
 2004 02 38689·
 2004 01 93690.
 2003 12  72712·
 2003 11  14645.
 2003 10  9656·
 2003 09  27660.
 2003 08  70670.
 2003 07  46678·
 2003 06  72682·
 2003 05  1693.
 2003 04  75703.
 2003 03  98674·
 2003 02  38647.
 2003 01  59691.
 2002 12 63624·
 2002 11 77644·
 2002 10 48671·
 2002 09 68721.
 2002 08 34687.
 2002 07 16635.
 2002 06 62616·
 2002 05 25554·
 2002 04 14555.
 2002 03 70578.
 2002 02 69587·
 2002 01 47573.
 2001 12  52582.
 2001 11  22571.
 2001 10  83623·
 2001 09  80651.
 2001 08  25663·
 2001 07  77671·
 2001 06  40646.
 2001 05  91653.
 2001 04  33639·
 2001 03  68673·
 2001 02  4642·
 2001 01  76610·
 2000 12 0598·
 2000 11 52608.
 2000 10 63590·
 2000 09 53564·
 2000 08 79547·
 2000 07 9556.
 2000 06 29594.
 2000 05 67627·
 2000 04 43670.
 2000 03 47641.
 2000 02 41584·
 2000 01 87614·
 1999 12  93532.
 1999 11  96502.
 1999 10  61504·
 1999 09  6460·
 1999 08  55476.
 1999 07  15576·
 1999 06  77615.
 1999 05  44620.
 1999 04  79544.
 1999 03  84523.
 1999 02  3508.
 1999 01  45480·
 1998 12 40508·
 1998 11 10486·
 1998 10 75482.
 1998 09 79498.
 1998 08 39465.
 1998 07 25456.
 1998 06 58489·
 1998 05 39519.
 1998 04 2549·
 1998 03 85497·
 1998 02 38490.
 1998 01 45456.
 1997 12  78490.
 1997 11  72497.
 1997 10  28504.
 1997 09  40508·
 1997 08  43457.
 1997 07  93464·
 1997 06  68464·
 1997 05  94453·
 1997 04  97460·
 1997 03  79461.
 1997 02  19451·
 1997 01  1477.
 1996 12 66450.
 1996 11 87447.
 1996 10 69440.
 1996 09 80417.
 1996 08 1418·
 1996 07 98420.
 1996 06 31442.
 1996 05 76441.
 1996 04 75470.
 1996 03 20465·
 1996 02 44469.
 1996 01 56443.
 1995 12  91467.
 1995 11  83418·
 1995 10  69393·
 1995 09  17388·
 1995 08  73377.
 1995 07  45379·
 1995 06  96382·
 1995 05  76428·
 1995 04  72442.
 1995 03  87433.
 1995 02  36443.
 1995 01  77405·
 1994 12 63418·
 1994 11 16403·
 1994 10 28370·
 1994 09 91368.
 1994 08 47357·
 1994 07 63333.
 1994 06 34348·
 1994 05 11372·
 1994 04 48367.
 1994 03 85372·
 1994 02 43400.
 1994 01 56400.
 1993 12  18431·
 1993 11  64414·
 1993 10  68364·
 1993 09  70391.
 1993 08  32393·
 1993 07  6379.
 1993 06  45422.
 1993 05  23411.
 1993 04  89391·
 1993 03  43392.
 1993 02  39387·
 1993 01  9380·
 1992 12 16387.
 1992 11 32360·
 1992 10 37397·
 1992 09 46402.
 1992 08 63399.
 1992 07 54388·
 1992 06 51405.
 1992 05 79395.
 1992 04 5389.
 1992 03 16376.
 1992 02 21392.
 1992 01 78376.
 1991 12  43379·
 1991 11  49371.
 1991 10  8389·
 1991 09  35422·
 1991 08  1408·
 1991 07  11428.
 1991 06  1426·
 1991 05  71389.
 1991 04  31379·
 1991 03  82382.
 1991 02  12377·
 1991 01  29375·
 1990 12 8363.
 1990 11 70355.
 1990 10 80366·
 1990 09 79364.
 1990 08 33359·
 1990 07 5329·
 1990 06 67320·
 1990 05 15317.
 1990 04 29328.
 1990 03 46335.
 1990 02 61333.
 1990 01 56356.
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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, 20 years and over, 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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