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 Series Title: Employment Level: Nonagricultural Industries, 16-19 years, Puerto Rican: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 1561·
 2012 03 7446·
 2012 02 2864·
 2012 01 7369.
 2011 12  3058.
 2011 11  2178·
 2011 10  7266·
 2011 09  3668·
 2011 08  5048.
 2011 07  541.
 2011 06  5539·
 2011 05  3644·
 2011 04  2340.
 2011 03  649.
 2011 02  8843.
 2011 01  1552.
 2010 12 2738·
 2010 11 3238.
 2010 10 1167·
 2010 09 4563.
 2010 08 6085·
 2010 07 13101.
 2010 06 8670·
 2010 05 1754·
 2010 04 4949·
 2010 03 763·
 2010 02 160·
 2010 01 5352.
 2009 12  4367·
 2009 11  9581·
 2009 10  6992.
 2009 09  9568.
 2009 08  1971.
 2009 07  8488.
 2009 06  2863·
 2009 05  1351.
 2009 04  7665·
 2009 03  575.
 2009 02  4090.
 2009 01  271.
 2008 12 4195·
 2008 11 1652.
 2008 10 9478.
 2008 09 7981·
 2008 08 6268·
 2008 07 9763·
 2008 06 267·
 2008 05 9177.
 2008 04 1777.
 2008 03 5560·
 2008 02 394.
 2008 01 499·
 2007 12  486·
 2007 11  23106·
 2007 10  5969.
 2007 09  1567·
 2007 08  5074.
 2007 07  5674·
 2007 06  5870·
 2007 05  4151·
 2007 04  566.
 2007 03  3645.
 2007 02  1253.
 2007 01  2767·
 2006 12 4491.
 2006 11 7196.
 2006 10 6172·
 2006 09 4367·
 2006 08 6876·
 2006 07 9177·
 2006 06 6781.
 2006 05 8264.
 2006 04 256·
 2006 03 5351.
 2006 02 1749·
 2006 01 6350·
 2005 12  9769·
 2005 11  3971.
 2005 10  2580·
 2005 09  3092.
 2005 08  27106.
 2005 07  56105·
 2005 06  2861.
 2005 05  5484·
 2005 04  9463·
 2005 03  3459.
 2005 02  8968·
 2005 01  2763·
 2004 12 2269·
 2004 11 3281.
 2004 10 9763·
 2004 09 6936.
 2004 08 6374·
 2004 07 3078·
 2004 06 6468.
 2004 05 2466·
 2004 04 9036·
 2004 03 3539.
 2004 02 2863·
 2004 01 6255.
 2003 12  682.
 2003 11  7868·
 2003 10  5162·
 2003 09  7668.
 2003 08  3570.
 2003 07  1770·
 2003 06  2343.
 2003 05  8559·
 2003 04  2771·
 2003 03  3378.
 2003 02  5565.
 2003 01  3558.
 2002 12 5965.
 2002 11 3367·
 2002 10 8670.
 2002 09 9365.
 2002 08 2964.
 2002 07 4888.
 2002 06 7869.
 2002 05 5478.
 2002 04 6592.
 2002 03 3588.
 2002 02 1980·
 2002 01 3769·
 2001 12  1675·
 2001 11  7571·
 2001 10  2348·
 2001 09  8654·
 2001 08  5761.
 2001 07  7664.
 2001 06  2790.
 2001 05  7170·
 2001 04  8974.
 2001 03  6859.
 2001 02  9449.
 2001 01  8559·
 2000 12 3859.
 2000 11 957·
 2000 10 1254·
 2000 09 4866·
 2000 08 5377.
 2000 07 8073·
 2000 06 94102·
 2000 05 379·
 2000 04 1196.
 2000 03 8790.
 2000 02 7796·
 2000 01 2191.
 1999 12  1172.
 1999 11  6365.
 1999 10  2539.
 1999 09  9535·
 1999 08  7879.
 1999 07  6584.
 1999 06  2564.
 1999 05  4476·
 1999 04  6564.
 1999 03  7248·
 1999 02  9149·
 1999 01  1261.
 1998 12 4488·
 1998 11 9381.
 1998 10 6063.
 1998 09 6958.
 1998 08 1855·
 1998 07 5972·
 1998 06 9579·
 1998 05 869.
 1998 04 1256·
 1998 03 2755·
 1998 02 8453.
 1998 01 4954·
 1997 12  7592·
 1997 11  78106·
 1997 10  4088.
 1997 09  3675·
 1997 08  8379.
 1997 07  1972.
 1997 06  156·
 1997 05  3949·
 1997 04  3756·
 1997 03  8142.
 1997 02  3066.
 1997 01  5063.
 1996 12 6368·
 1996 11 2179.
 1996 10 1472.
 1996 09 9064·
 1996 08 972.
 1996 07 2150·
 1996 06 6743.
 1996 05 245·
 1996 04 5243.
 1996 03 8856·
 1996 02 2662·
 1996 01 5661·
 1995 12  9353.
 1995 11  5337·
 1995 10  5464·
 1995 09  4655.
 1995 08  5659·
 1995 07  7265.
 1995 06  4059·
 1995 05  9033.
 1995 04  9244.
 1995 03  2849.
 1995 02  9540·
 1995 01  3436·
 1994 12 7742·
 1994 11 2726·
 1994 10 5929.
 1994 09 4630·
 1994 08 1038·
 1994 07 047·
 1994 06 9347.
 1994 05 2042.
 1994 04 1772·
 1994 03 555·
 1994 02 8645.
 1994 01 7638·
 1993 12  4939.
 1993 11  2348·
 1993 10  5139.
 1993 09  5753·
 1993 08  8159.
 1993 07  6041.
 1993 06  2543.
 1993 05  3347·
 1993 04  1340·
 1993 03  4828.
 1993 02  7240·
 1993 01  9851.
 1992 12 7146.
 1992 11 4453·
 1992 10 7949·
 1992 09 7137.
 1992 08 553·
 1992 07 3072·
 1992 06 5945.
 1992 05 9646·
 1992 04 9141·
 1992 03 1234·
 1992 02 5036·
 1992 01 4237·
 1991 12  2842.
 1991 11  2243·
 1991 10  1539.
 1991 09  440.
 1991 08  4357·
 1991 07  1668·
 1991 06  4257·
 1991 05  165.
 1991 04  8553·
 1991 03  7646.
 1991 02  4340·
 1991 01  7641·
 1990 12 3142·
 1990 11 843·
 1990 10 5834·
 1990 09 9942.
 1990 08 8043.
 1990 07 4650·
 1990 06 4748·
 1990 05 6445·
 1990 04 5748.
 1990 03 4445.
 1990 02 142·
 1990 01 9153·
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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.
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      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, 16-19 years, Puerto Rican: 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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