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 Series Title: Population Level: Enrolled in College Full Time 16-24 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 361381.
 2012 03 631632·
 2012 02 151606.
 2012 01 621641.
 2011 12  11711·
 2011 11  291626.
 2011 10  461571.
 2011 09  811666·
 2011 08  451283·
 2011 07  61101·
 2011 06  901135.
 2011 05  111313·
 2011 04  181395.
 2011 03  751351·
 2011 02  611377.
 2011 01  971403.
 2010 12 961422.
 2010 11 441361.
 2010 10 961319.
 2010 09 71390·
 2010 08 791181.
 2010 07 44976·
 2010 06 59971·
 2010 05 351139·
 2010 04 931231·
 2010 03 311292.
 2010 02 361380·
 2010 01 21327·
 2009 12  871211.
 2009 11  881177·
 2009 10  411162·
 2009 09  501244·
 2009 08  371007.
 2009 07  20858.
 2009 06  11850.
 2009 05  491058.
 2009 04  441065·
 2009 03  591021·
 2009 02  111084.
 2009 01  931052·
 2008 12 331103.
 2008 11 631072·
 2008 10 271023.
 2008 09 21158.
 2008 08 54895.
 2008 07 13772.
 2008 06 72783.
 2008 05 191042.
 2008 04 831030.
 2008 03 151056.
 2008 02 851053·
 2008 01 141011.
 2007 12  201091·
 2007 11  01052·
 2007 10  281074·
 2007 09  801028·
 2007 08  91863.
 2007 07  27650.
 2007 06  89635.
 2007 05  37884·
 2007 04  45924·
 2007 03  76875·
 2007 02  81857.
 2007 01  29889·
 2006 12 59855.
 2006 11 54866·
 2006 10 42885·
 2006 09 26961·
 2006 08 33739.
 2006 07 92575·
 2006 06 34490.
 2006 05 20731·
 2006 04 91762·
 2006 03 48798·
 2006 02 46890·
 2006 01 32902.
 2005 12  86913.
 2005 11  2860.
 2005 10  91974.
 2005 09  6886·
 2005 08  91691·
 2005 07  62585.
 2005 06  6580.
 2005 05  10797·
 2005 04  7780.
 2005 03  59864·
 2005 02  55884·
 2005 01  39906.
 2004 12 60885.
 2004 11 50874.
 2004 10 25933·
 2004 09 12873.
 2004 08 0746·
 2004 07 16608.
 2004 06 29665.
 2004 05 73861·
 2004 04 2944.
 2004 03 64961·
 2004 02 5825.
 2004 01 91775.
 2003 12  67807·
 2003 11  26875·
 2003 10  16854.
 2003 09  61901.
 2003 08  21660·
 2003 07  59523.
 2003 06  49650.
 2003 05  2658.
 2003 04  13811·
 2003 03  43816·
 2003 02  19859.
 2003 01  57848.
 2002 12 19783·
 2002 11 86762.
 2002 10 61727.
 2002 09 96902.
 2002 08 39626.
 2002 07 19424·
 2002 06 41420·
 2002 05 12655.
 2002 04 99708.
 2002 03 0762.
 2002 02 44797·
 2002 01 26761·
 2001 12  50822.
 2001 11  8787·
 2001 10  85759.
 2001 09  81903.
 2001 08  66661·
 2001 07  52393.
 2001 06  1414.
 2001 05  47598.
 2001 04  48579·
 2001 03  63643.
 2001 02  55713.
 2001 01  17781·
 2000 12 21761.
 2000 11 97837·
 2000 10 35754·
 2000 09 11744.
 2000 08 36474·
 2000 07 36309·
 2000 06 54359·
 2000 05 72446·
 2000 04 68534.
 2000 03 87599·
 2000 02 49732.
 2000 01 71713.
 1999 12  17550.
 1999 11  82601.
 1999 10  84533·
 1999 09  0579.
 1999 08  10391.
 1999 07  76277.
 1999 06  47325.
 1999 05  80455.
 1999 04  95488.
 1999 03  52477·
 1999 02  50650·
 1999 01  54622·
 1998 12 50634·
 1998 11 17639.
 1998 10 31598.
 1998 09 92598·
 1998 08 73370.
 1998 07 1320.
 1998 06 53371.
 1998 05 87511.
 1998 04 91495.
 1998 03 62522·
 1998 02 4555·
 1998 01 59601·
 1997 12  54626·
 1997 11  81612.
 1997 10  98632·
 1997 09  52605·
 1997 08  37397.
 1997 07  65304.
 1997 06  71372·
 1997 05  35492·
 1997 04  41590.
 1997 03  46584·
 1997 02  86584.
 1997 01  3572·
 1996 12 91511.
 1996 11 80517.
 1996 10 33523.
 1996 09 73558.
 1996 08 37309.
 1996 07 48215·
 1996 06 23232·
 1996 05 91442.
 1996 04 55503·
 1996 03 58496·
 1996 02 94511·
 1996 01 26531.
 1995 12  45535.
 1995 11  41534.
 1995 10  9580.
 1995 09  72549·
 1995 08  33270.
 1995 07  54257.
 1995 06  57275.
 1995 05  47478.
 1995 04  69507.
 1995 03  78456.
 1995 02  50423·
 1995 01  97458·
 1994 12 28497.
 1994 11 21432·
 1994 10 25430·
 1994 09 89461.
 1994 08 10227·
 1994 07 12223.
 1994 06 47262·
 1994 05 19455.
 1994 04 42485·
 1994 03 10503·
 1994 02 2562.
 1994 01 6487.
 1993 12  74558·
 1993 11  96533·
 1993 10  4577·
 1993 09  93581.
 1993 08  81175.
 1993 07  77147.
 1993 06  90282.
 1993 05  50409·
 1993 04  62439·
 1993 03  84477·
 1993 02  24528·
 1993 01  71489·
 1992 12 45484.
 1992 11 73485.
 1992 10 93523·
 1992 09 75493·
 1992 08 78131.
 1992 07 27129·
 1992 06 10185.
 1992 05 6391.
 1992 04 39451·
 1992 03 53469.
 1992 02 13504.
 1992 01 33529.
 1991 12  26518.
 1991 11  81495.
 1991 10  65474.
 1991 09  51377.
 1991 08  65190·
 1991 07  68182.
 1991 06  54257.
 1991 05  78356·
 1991 04  7402.
 1991 03  96426.
 1991 02  93446·
 1991 01  59430·
 1990 12 27436·
 1990 11 73414.
 1990 10 19392·
 1990 09 63367.
 1990 08 25141·
 1990 07 28115·
 1990 06 96201·
 1990 05 84380.
 1990 04 28388.
 1990 03 19411·
 1990 02 11390·
 1990 01 41416.
 1989 12  84332.
 1989 11  28328.
 1989 10  78334.
 1989 09  79309·
 1989 08  7097.
 1989 07  6298.
 1989 06  34173·
 1989 05  66282·
 1989 04  86295·
 1989 03  51354·
 1989 02  42356.
 1989 01  96360.
 1988 12 58338.
 1988 11 52337·
 1988 10 90331·
 1988 09 90313.
 1988 08 35116·
 1988 07 4897·
 1988 06 90176·
 1988 05 90269·
 1988 04 94295.
 1988 03 45337·
 1988 02 82362·
 1988 01 66361·
 1987 12  34373.
 1987 11  74351·
 1987 10  27335.
 1987 09  12347·
 1987 08  81140.
 1987 07  92131·
 1987 06  13202.
 1987 05  48285.
 1987 04  86297.
 1987 03  81365.
 1987 02  55355·
 1987 01  17327.
 1986 12 23371.
 1986 11 48366·
 1986 10 88344·
 1986 09 88385·
 1986 08 93118·
 1986 07 2391.
 1986 06 76193·
 1986 05 57255·
 1986 04 22306·
 1986 03 64322.
 1986 02 8325.
 1986 01 41343·
 1985 12  60331.
 1985 11  52301.
 1985 10  96300·
 1985 09  85343·
 1985 08  82104·
 1985 07  9498·
 1985 06  77143·
 1985 05  58232.
 1985 04  88331·
 1985 03  22314.
 1985 02  16334.
 1985 01  55331·
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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: Enrolled in College Full Time 16-24 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

Make charts for Okun's Law and Phillip's Curve

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