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 Series Title: Population Level: Not Enrolled in School, 16-19 years, Hispanic or Latino: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 2638.
 2012 03 5712.
 2012 02 43690·
 2012 01 27675·
 2011 12  89662.
 2011 11  64676·
 2011 10  89672·
 2011 09  32696.
 2011 08  411364·
 2011 07  211742.
 2011 06  361425.
 2011 05  37575·
 2011 04  10623·
 2011 03  58615·
 2011 02  96593·
 2011 01  84666.
 2010 12 72637·
 2010 11 82625.
 2010 10 9593·
 2010 09 43655·
 2010 08 261329·
 2010 07 251800·
 2010 06 351257·
 2010 05 8629.
 2010 04 97609·
 2010 03 42656.
 2010 02 65699.
 2010 01 98643.
 2009 12  37646.
 2009 11  16710.
 2009 10  9784.
 2009 09  58706·
 2009 08  211415·
 2009 07  541695·
 2009 06  71279.
 2009 05  56710·
 2009 04  49665·
 2009 03  86591·
 2009 02  21683·
 2009 01  87692.
 2008 12 46689.
 2008 11 70695·
 2008 10 39734.
 2008 09 69777.
 2008 08 631380·
 2008 07 881712.
 2008 06 751436·
 2008 05 48736·
 2008 04 76690.
 2008 03 45706·
 2008 02 64697.
 2008 01 92665.
 2007 12  84731·
 2007 11  73768.
 2007 10  72747·
 2007 09  95760.
 2007 08  131126.
 2007 07  301615·
 2007 06  851428.
 2007 05  76706.
 2007 04  13714.
 2007 03  97757·
 2007 02  17728.
 2007 01  79684·
 2006 12 60765·
 2006 11 80669·
 2006 10 5727·
 2006 09 75752.
 2006 08 551339·
 2006 07 111725.
 2006 06 121471.
 2006 05 56770·
 2006 04 22715.
 2006 03 47736·
 2006 02 26678.
 2006 01 42654.
 2005 12  12687·
 2005 11  69668.
 2005 10  61678·
 2005 09  77623·
 2005 08  01353.
 2005 07  841694·
 2005 06  531406.
 2005 05  30694·
 2005 04  87654.
 2005 03  24717.
 2005 02  66662.
 2005 01  96650·
 2004 12 99723·
 2004 11 45688.
 2004 10 88754·
 2004 09 93720·
 2004 08 851223.
 2004 07 291597·
 2004 06 321211·
 2004 05 65631.
 2004 04 20566.
 2004 03 83634.
 2004 02 35668.
 2004 01 83686.
 2003 12  7753·
 2003 11  38713·
 2003 10  61690.
 2003 09  39629·
 2003 08  681233.
 2003 07  501586·
 2003 06  961221·
 2003 05  54663·
 2003 04  56651·
 2003 03  2661·
 2003 02  55632·
 2003 01  70669·
 2002 12 46760·
 2002 11 1696.
 2002 10 75754.
 2002 09 58795.
 2002 08 371244.
 2002 07 771622·
 2002 06 191429.
 2002 05 11783.
 2002 04 56765.
 2002 03 87780·
 2002 02 75779·
 2002 01 49790·
 2001 12  52760.
 2001 11  14830·
 2001 10  56883·
 2001 09  16880·
 2001 08  11313.
 2001 07  631710.
 2001 06  991436.
 2001 05  80858·
 2001 04  4811·
 2001 03  66775.
 2001 02  67736.
 2001 01  37702·
 2000 12 85804·
 2000 11 81772·
 2000 10 50821·
 2000 09 5846·
 2000 08 961577.
 2000 07 881815·
 2000 06 581492·
 2000 05 28861.
 2000 04 12811.
 2000 03 94790.
 2000 02 31767·
 2000 01 75764·
 1999 12  32763·
 1999 11  31756.
 1999 10  30807.
 1999 09  41850.
 1999 08  831394·
 1999 07  561698·
 1999 06  451247·
 1999 05  45757.
 1999 04  15764.
 1999 03  50720.
 1999 02  87641.
 1999 01  31671.
 1998 12 3750.
 1998 11 20745.
 1998 10 96822.
 1998 09 68739·
 1998 08 471369·
 1998 07 971591·
 1998 06 331143.
 1998 05 49613.
 1998 04 73637.
 1998 03 38693·
 1998 02 86617·
 1998 01 95589.
 1997 12  32641·
 1997 11  25641.
 1997 10  69644·
 1997 09  50682.
 1997 08  991258·
 1997 07  641449.
 1997 06  191045.
 1997 05  82604.
 1997 04  73595.
 1997 03  88636.
 1997 02  99604.
 1997 01  86632.
 1996 12 81611·
 1996 11 52634.
 1996 10 98646·
 1996 09 81625.
 1996 08 731216.
 1996 07 381379.
 1996 06 271145.
 1996 05 10586.
 1996 04 25566.
 1996 03 53573.
 1996 02 26565·
 1996 01 44624.
 1995 12  36613.
 1995 11  29581.
 1995 10  56641.
 1995 09  76606·
 1995 08  321384·
 1995 07  221389·
 1995 06  61097·
 1995 05  26591.
 1995 04  64593.
 1995 03  14634.
 1995 02  88550·
 1995 01  37572·
 1994 12 6536.
 1994 11 12548·
 1994 10 41584·
 1994 09 78595·
 1994 08 601328·
 1994 07 461408.
 1994 06 271073.
 1994 05 45605·
 1994 04 50591·
 1994 03 75596.
 1994 02 34543·
 1994 01 55573·
 1993 12  28539.
 1993 11  78521·
 1993 10  76540·
 1993 09  54617.
 1993 08  681480.
 1993 07  641403.
 1993 06  89963.
 1993 05  10563.
 1993 04  70570·
 1993 03  64616·
 1993 02  37551.
 1993 01  17558·
 1992 12 61568.
 1992 11 34609.
 1992 10 8538.
 1992 09 95595.
 1992 08 911441·
 1992 07 551416·
 1992 06 151012·
 1992 05 88572.
 1992 04 34510.
 1992 03 36483·
 1992 02 96528·
 1992 01 64561.
 1991 12  92527·
 1991 11  7597·
 1991 10  12645.
 1991 09  18677·
 1991 08  901423·
 1991 07  241390·
 1991 06  541033·
 1991 05  70606.
 1991 04  78513·
 1991 03  71535.
 1991 02  32569·
 1991 01  62599·
 1990 12 31556·
 1990 11 52545·
 1990 10 85639.
 1990 09 65701·
 1990 08 501430·
 1990 07 01373.
 1990 06 771079.
 1990 05 73666·
 1990 04 61662.
 1990 03 72676.
 1990 02 94686.
 1990 01 4646.
 1989 12  14500.
 1989 11  49511·
 1989 10  51497·
 1989 09  3528·
 1989 08  831205·
 1989 07  371156.
 1989 06  84817.
 1989 05  39502·
 1989 04  70484·
 1989 03  69477·
 1989 02  56444.
 1989 01  6561·
 1988 12 0546·
 1988 11 1566·
 1988 10 56549·
 1988 09 24578·
 1988 08 231207.
 1988 07 151175.
 1988 06 97779·
 1988 05 35453.
 1988 04 15434.
 1988 03 17498·
 1988 02 15484.
 1988 01 10493.
 1987 12  76504.
 1987 11  38526·
 1987 10  75507·
 1987 09  43630.
 1987 08  321156.
 1987 07  371078·
 1987 06  64768.
 1987 05  53461·
 1987 04  32403·
 1987 03  94393·
 1987 02  94404.
 1987 01  83479·
 1986 12 53486·
 1986 11 15489.
 1986 10 5439.
 1986 09 4475·
 1986 08 941153·
 1986 07 331060.
 1986 06 58752·
 1986 05 9459.
 1986 04 81470·
 1986 03 5433·
 1986 02 42410.
 1986 01 17434·
 1985 12  65409.
 1985 11  11413.
 1985 10  69437·
 1985 09  72414·
 1985 08  201115·
 1985 07  581060·
 1985 06  78711·
 1985 05  45425.
 1985 04  48390.
 1985 03  79403.
 1985 02  31406.
 1985 01  28411·
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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: Not Enrolled in School, 16-19 years, Hispanic or Latino: 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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