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 Series Title: Population Level: 18-19 years, Hispanic or Latino Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 79870·
 2012 03 5882·
 2012 02 2863.
 2012 01 55953.
 2011 12  73976·
 2011 11  64921·
 2011 10  43883.
 2011 09  50872.
 2011 08  8830·
 2011 07  98775·
 2011 06  59816.
 2011 05  17833·
 2011 04  34852·
 2011 03  86840.
 2011 02  65874·
 2011 01  3857·
 2010 12 28829·
 2010 11 37820.
 2010 10 97811.
 2010 09 76822.
 2010 08 89826·
 2010 07 80824·
 2010 06 19784.
 2010 05 30760.
 2010 04 44809.
 2010 03 74825.
 2010 02 18858.
 2010 01 84857.
 2009 12  41787.
 2009 11  99787·
 2009 10  8792.
 2009 09  82753.
 2009 08  57795·
 2009 07  63808.
 2009 06  25781·
 2009 05  94754.
 2009 04  93744·
 2009 03  97769.
 2009 02  34782.
 2009 01  13739.
 2008 12 72721.
 2008 11 57701·
 2008 10 22733.
 2008 09 60741.
 2008 08 47763·
 2008 07 25706.
 2008 06 2709.
 2008 05 77708·
 2008 04 92705·
 2008 03 9669·
 2008 02 12723.
 2008 01 34708·
 2007 12  7743.
 2007 11  38735.
 2007 10  15732·
 2007 09  26707.
 2007 08  18703.
 2007 07  71679·
 2007 06  98730.
 2007 05  71716.
 2007 04  76715.
 2007 03  89734.
 2007 02  74692·
 2007 01  13687.
 2006 12 56689·
 2006 11 98664.
 2006 10 82659·
 2006 09 22695·
 2006 08 58703.
 2006 07 31696·
 2006 06 84671.
 2006 05 92631·
 2006 04 7651·
 2006 03 43646.
 2006 02 69630.
 2006 01 41636.
 2005 12  55650.
 2005 11  16603.
 2005 10  48656·
 2005 09  15668.
 2005 08  76644.
 2005 07  57651·
 2005 06  60628·
 2005 05  82601.
 2005 04  70647·
 2005 03  98685.
 2005 02  68659.
 2005 01  36661.
 2004 12 64626.
 2004 11 96645.
 2004 10 60660.
 2004 09 97695·
 2004 08 7712.
 2004 07 31684.
 2004 06 49684·
 2004 05 8687.
 2004 04 75679·
 2004 03 11676·
 2004 02 72657.
 2004 01 40657·
 2003 12  69626·
 2003 11  67640.
 2003 10  92623·
 2003 09  85609.
 2003 08  13611·
 2003 07  56623.
 2003 06  98619·
 2003 05  63624·
 2003 04  59646·
 2003 03  59638.
 2003 02  2629.
 2003 01  18636·
 2002 12 80683.
 2002 11 83720.
 2002 10 42721.
 2002 09 19711·
 2002 08 79642·
 2002 07 60662·
 2002 06 81666·
 2002 05 61691.
 2002 04 80654.
 2002 03 47657.
 2002 02 6663.
 2002 01 63667·
 2001 12  34709·
 2001 11  25679.
 2001 10  32702.
 2001 09  68684·
 2001 08  15711·
 2001 07  0714·
 2001 06  95707·
 2001 05  46680·
 2001 04  26672.
 2001 03  5664·
 2001 02  59672.
 2001 01  92689.
 2000 12 90742.
 2000 11 95713.
 2000 10 11703.
 2000 09 23686·
 2000 08 58681·
 2000 07 54696·
 2000 06 64686.
 2000 05 85703·
 2000 04 6673.
 2000 03 86651.
 2000 02 56670.
 2000 01 46709·
 1999 12  34645.
 1999 11  24663.
 1999 10  51643.
 1999 09  1593·
 1999 08  67584.
 1999 07  25554·
 1999 06  36602.
 1999 05  68620.
 1999 04  56593·
 1999 03  70631.
 1999 02  23640·
 1999 01  93660·
 1998 12 76625·
 1998 11 66612·
 1998 10 51587.
 1998 09 43561.
 1998 08 28551·
 1998 07 45522.
 1998 06 83542·
 1998 05 13548·
 1998 04 37592.
 1998 03 62585·
 1998 02 6588·
 1998 01 23583.
 1997 12  53554·
 1997 11  0563.
 1997 10  34573·
 1997 09  16524·
 1997 08  52535.
 1997 07  66508.
 1997 06  4534.
 1997 05  62540.
 1997 04  34522·
 1997 03  90533.
 1997 02  80523·
 1997 01  55495.
 1996 12 25490.
 1996 11 30499·
 1996 10 48504·
 1996 09 13518.
 1996 08 74505·
 1996 07 68504.
 1996 06 22500·
 1996 05 81498·
 1996 04 58489·
 1996 03 9501.
 1996 02 41535.
 1996 01 29539.
 1995 12  76513·
 1995 11  86482·
 1995 10  66521.
 1995 09  50513.
 1995 08  55505.
 1995 07  56477·
 1995 06  85440.
 1995 05  63440.
 1995 04  44429.
 1995 03  99461·
 1995 02  13442.
 1995 01  12453.
 1994 12 19462.
 1994 11 22464·
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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: Population Level: 18-19 years, Hispanic or Latino 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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