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 Series Title: Population Level: Not Enrolled in School, Some College or Associate Degree, 16-24 years, Hispanic or Latino: NSA
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 2012 04 1789.
 2012 03 70750.
 2012 02 47749.
 2012 01 27775.
 2011 12  32716.
 2011 11  84725·
 2011 10  7760·
 2011 09  56737.
 2011 08  67874·
 2011 07  33958·
 2011 06  5802·
 2011 05  21693·
 2011 04  57722·
 2011 03  0716·
 2011 02  54663·
 2011 01  67728.
 2010 12 76638·
 2010 11 91611·
 2010 10 93621.
 2010 09 61549·
 2010 08 25811·
 2010 07 38964.
 2010 06 84883.
 2010 05 0691·
 2010 04 29621.
 2010 03 97651.
 2010 02 14620·
 2010 01 1674.
 2009 12  39618.
 2009 11  51624.
 2009 10  98552·
 2009 09  9608.
 2009 08  30862.
 2009 07  5929·
 2009 06  72921.
 2009 05  93710.
 2009 04  3632·
 2009 03  92636·
 2009 02  0614.
 2009 01  47585·
 2008 12 83576·
 2008 11 68540.
 2008 10 70610·
 2008 09 90540·
 2008 08 21747.
 2008 07 15829.
 2008 06 93801.
 2008 05 67575.
 2008 04 91523.
 2008 03 39578.
 2008 02 10559·
 2008 01 46614·
 2007 12  94523·
 2007 11  72496·
 2007 10  81496.
 2007 09  22431.
 2007 08  55643·
 2007 07  71773·
 2007 06  96653.
 2007 05  14577·
 2007 04  26540·
 2007 03  17555.
 2007 02  66544·
 2007 01  66594·
 2006 12 81619.
 2006 11 17533·
 2006 10 30533·
 2006 09 47527·
 2006 08 20712.
 2006 07 3746.
 2006 06 51737.
 2006 05 52577·
 2006 04 70559.
 2006 03 31600.
 2006 02 17608.
 2006 01 98644.
 2005 12  80661.
 2005 11  82602·
 2005 10  41532.
 2005 09  32466·
 2005 08  26699·
 2005 07  65732.
 2005 06  59676.
 2005 05  21526·
 2005 04  8528.
 2005 03  9517.
 2005 02  37576.
 2005 01  59573.
 2004 12 52514·
 2004 11 72478.
 2004 10 60476.
 2004 09 67491·
 2004 08 8689·
 2004 07 36777·
 2004 06 42668·
 2004 05 88513.
 2004 04 52451.
 2004 03 6483.
 2004 02 22525.
 2004 01 91532.
 2003 12  83513·
 2003 11  16507.
 2003 10  61556.
 2003 09  71472.
 2003 08  27662·
 2003 07  20740.
 2003 06  48715·
 2003 05  46571.
 2003 04  35443·
 2003 03  2426·
 2003 02  96440.
 2003 01  61495.
 2002 12 82457.
 2002 11 67449·
 2002 10 42526.
 2002 09 84454·
 2002 08 69660.
 2002 07 48637·
 2002 06 50636·
 2002 05 11531.
 2002 04 20440.
 2002 03 0476·
 2002 02 7473.
 2002 01 60482.
 2001 12  86486.
 2001 11  6509.
 2001 10  27458.
 2001 09  75448.
 2001 08  43628·
 2001 07  72763.
 2001 06  46682·
 2001 05  25535.
 2001 04  91445·
 2001 03  30524.
 2001 02  29504.
 2001 01  5473·
 2000 12 55447·
 2000 11 37438·
 2000 10 62404·
 2000 09 33479·
 2000 08 86736·
 2000 07 73739.
 2000 06 60592·
 2000 05 55421.
 2000 04 59426·
 2000 03 46477·
 2000 02 59471.
 2000 01 38476·
 1999 12  75351.
 1999 11  88397.
 1999 10  22362·
 1999 09  77381·
 1999 08  59557.
 1999 07  55645.
 1999 06  38640.
 1999 05  92486·
 1999 04  60433·
 1999 03  28446.
 1999 02  20411.
 1999 01  26437·
 1998 12 56416·
 1998 11 15390·
 1998 10 4393·
 1998 09 48370·
 1998 08 45610·
 1998 07 47695·
 1998 06 55577·
 1998 05 53515·
 1998 04 54446.
 1998 03 80414·
 1998 02 60395·
 1998 01 60419·
 1997 12  33358·
 1997 11  96329·
 1997 10  31341·
 1997 09  13344·
 1997 08  57540.
 1997 07  3626.
 1997 06  8510·
 1997 05  80376·
 1997 04  27347·
 1997 03  31351.
 1997 02  52357·
 1997 01  58375·
 1996 12 68326.
 1996 11 37297.
 1996 10 52303·
 1996 09 63316.
 1996 08 30552·
 1996 07 2590·
 1996 06 20567.
 1996 05 41406·
 1996 04 89327.
 1996 03 35357.
 1996 02 95352·
 1996 01 60371·
 1995 12  45358·
 1995 11  65363.
 1995 10  39380·
 1995 09  16384·
 1995 08  24663.
 1995 07  50655.
 1995 06  40570.
 1995 05  26368·
 1995 04  76384.
 1995 03  71376.
 1995 02  11375.
 1995 01  35389.
 1994 12 76354·
 1994 11 36333·
 1994 10 91378.
 1994 09 13397·
 1994 08 25678.
 1994 07 75632.
 1994 06 41572·
 1994 05 52406·
 1994 04 48380·
 1994 03 45315.
 1994 02 49289·
 1994 01 74320.
 1993 12  95348.
 1993 11  29365.
 1993 10  30344·
 1993 09  21391.
 1993 08  43660.
 1993 07  31598.
 1993 06  19468.
 1993 05  62335·
 1993 04  90315·
 1993 03  85315.
 1993 02  82287.
 1993 01  93337.
 1992 12 64316.
 1992 11 47310.
 1992 10 4336·
 1992 09 31362·
 1992 08 14535·
 1992 07 99521.
 1992 06 0505.
 1992 05 22351.
 1992 04 15314·
 1992 03 46323·
 1992 02 6288.
 1992 01 34307·
 1991 12  68211·
 1991 11  21202·
 1991 10  87215.
 1991 09  62205.
 1991 08  98362·
 1991 07  81321.
 1991 06  30313·
 1991 05  24248.
 1991 04  56226·
 1991 03  7248·
 1991 02  47258·
 1991 01  65225.
 1990 12 17241.
 1990 11 5243·
 1990 10 77238·
 1990 09 54247·
 1990 08 82346.
 1990 07 8366·
 1990 06 82334.
 1990 05 84236·
 1990 04 75245.
 1990 03 71258·
 1990 02 51290·
 1990 01 76257.
 1989 12  47177·
 1989 11  78212.
 1989 10  96192·
 1989 09  74221·
 1989 08  75310·
 1989 07  33325.
 1989 06  55268.
 1989 05  45179.
 1989 04  57172.
 1989 03  70183·
 1989 02  92193.
 1989 01  86224·
 1988 12 19197.
 1988 11 44204.
 1988 10 93170.
 1988 09 14221.
 1988 08 13381.
 1988 07 37389·
 1988 06 72342·
 1988 05 74232.
 1988 04 12194·
 1988 03 56173·
 1988 02 67207·
 1988 01 34230.
 1987 12  18206·
 1987 11  32224·
 1987 10  41203·
 1987 09  91254·
 1987 08  56400.
 1987 07  23345·
 1987 06  81294.
 1987 05  61235·
 1987 04  77231.
 1987 03  9212.
 1987 02  1189.
 1987 01  90205·
 1986 12 55206.
 1986 11 97188.
 1986 10 38176.
 1986 09 46188.
 1986 08 91350.
 1986 07 20355·
 1986 06 55268·
 1986 05 24223·
 1986 04 11225·
 1986 03 33210.
 1986 02 40206·
 1986 01 43238.
 1985 12  65203.
 1985 11  19219·
 1985 10  6215·
 1985 09  47209.
 1985 08  28311·
 1985 07  83302.
 1985 06  91281·
 1985 05  5202.
 1985 04  1176·
 1985 03  58186·
 1985 02  58187·
 1985 01  11173.
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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

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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: Population Level: Not Enrolled in School, Some College or Associate Degree, 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

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