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 Series Title: Population Level: Not Enrolled in School, High School Graduates, No College, 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 131721.
 2012 03 781505·
 2012 02 571540.
 2012 01 501459·
 2011 12  851540·
 2011 11  901528.
 2011 10  981576.
 2011 09  681530·
 2011 08  421742.
 2011 07  191919.
 2011 06  581672·
 2011 05  31552.
 2011 04  341568.
 2011 03  471546.
 2011 02  521587.
 2011 01  01508·
 2010 12 381381.
 2010 11 801459·
 2010 10 151502·
 2010 09 281509·
 2010 08 521654.
 2010 07 511787.
 2010 06 121505.
 2010 05 801391.
 2010 04 41432.
 2010 03 151386·
 2010 02 311469.
 2010 01 771384.
 2009 12  421416·
 2009 11  551442.
 2009 10  831575.
 2009 09  611537.
 2009 08  431660·
 2009 07  771748.
 2009 06  71486.
 2009 05  31323·
 2009 04  71334·
 2009 03  121358.
 2009 02  671449.
 2009 01  961389·
 2008 12 591473.
 2008 11 181499.
 2008 10 491494·
 2008 09 601526.
 2008 08 491688.
 2008 07 761741.
 2008 06 661512.
 2008 05 391424·
 2008 04 531377·
 2008 03 921390.
 2008 02 581426·
 2008 01 11344·
 2007 12  721450.
 2007 11  991530.
 2007 10  851468.
 2007 09  411521.
 2007 08  311460·
 2007 07  531607.
 2007 06  381547·
 2007 05  781303·
 2007 04  801362·
 2007 03  351449.
 2007 02  271376·
 2007 01  571382.
 2006 12 941448·
 2006 11 521432·
 2006 10 911406·
 2006 09 461342.
 2006 08 741470.
 2006 07 361636.
 2006 06 941519·
 2006 05 401349.
 2006 04 461333.
 2006 03 441277.
 2006 02 221286.
 2006 01 571342·
 2005 12  591330·
 2005 11  561406·
 2005 10  891390·
 2005 09  421421.
 2005 08  901548·
 2005 07  811606·
 2005 06  331523.
 2005 05  641302·
 2005 04  381314.
 2005 03  491244·
 2005 02  171273·
 2005 01  171283·
 2004 12 291387.
 2004 11 171434.
 2004 10 281447·
 2004 09 201513·
 2004 08 131609·
 2004 07 661561.
 2004 06 791268.
 2004 05 171260.
 2004 04 661251.
 2004 03 41194.
 2004 02 91193·
 2004 01 781280.
 2003 12  881327·
 2003 11  621359·
 2003 10  791346·
 2003 09  971354.
 2003 08  41437·
 2003 07  961451.
 2003 06  791259·
 2003 05  931135.
 2003 04  651266.
 2003 03  891248.
 2003 02  211311·
 2003 01  91256·
 2002 12 471317.
 2002 11 471375.
 2002 10 421458.
 2002 09 161505·
 2002 08 491558·
 2002 07 11575·
 2002 06 61362·
 2002 05 61142.
 2002 04 971268·
 2002 03 81269·
 2002 02 11264·
 2002 01 01401.
 2001 12  421425.
 2001 11  501367·
 2001 10  391447·
 2001 09  421286·
 2001 08  581397.
 2001 07  331447·
 2001 06  591309·
 2001 05  01116·
 2001 04  471099.
 2001 03  901168·
 2001 02  231110.
 2001 01  691143.
 2000 12 331292·
 2000 11 761315.
 2000 10 191348·
 2000 09 681324·
 2000 08 671427·
 2000 07 741414·
 2000 06 601295.
 2000 05 411188.
 2000 04 251159.
 2000 03 891184·
 2000 02 841089.
 2000 01 571191·
 1999 12  61124·
 1999 11  541097·
 1999 10  541189.
 1999 09  111157.
 1999 08  361211.
 1999 07  261260·
 1999 06  581128.
 1999 05  211021.
 1999 04  661031·
 1999 03  851064.
 1999 02  8996·
 1999 01  311032.
 1998 12 711070·
 1998 11 391059·
 1998 10 431125.
 1998 09 121078·
 1998 08 521257·
 1998 07 201271·
 1998 06 251061.
 1998 05 56947·
 1998 04 33924.
 1998 03 83929·
 1998 02 42916.
 1998 01 83932·
 1997 12  65967.
 1997 11  10985·
 1997 10  81029.
 1997 09  37964.
 1997 08  231158.
 1997 07  91135·
 1997 06  59939·
 1997 05  88830·
 1997 04  9815·
 1997 03  10814.
 1997 02  60832.
 1997 01  29889·
 1996 12 46880·
 1996 11 71860·
 1996 10 97963·
 1996 09 80927.
 1996 08 871031.
 1996 07 731096·
 1996 06 85937.
 1996 05 85892.
 1996 04 5891.
 1996 03 22900.
 1996 02 59967·
 1996 01 12971·
 1995 12  2993·
 1995 11  51968.
 1995 10  85936·
 1995 09  57875·
 1995 08  31040·
 1995 07  161052·
 1995 06  48992·
 1995 05  37827·
 1995 04  58822·
 1995 03  99811·
 1995 02  63812.
 1995 01  98839.
 1994 12 42851·
 1994 11 5912.
 1994 10 68918·
 1994 09 9870.
 1994 08 571044.
 1994 07 681042.
 1994 06 24913·
 1994 05 63910.
 1994 04 27890·
 1994 03 43822.
 1994 02 20835·
 1994 01 79935.
 1993 12  3895·
 1993 11  12869·
 1993 10  69907·
 1993 09  3927.
 1993 08  601066.
 1993 07  821001.
 1993 06  9837·
 1993 05  2818.
 1993 04  98842·
 1993 03  85844·
 1993 02  3887·
 1993 01  72892·
 1992 12 44848·
 1992 11 77888.
 1992 10 38853·
 1992 09 31883·
 1992 08 471031·
 1992 07 391044·
 1992 06 27930·
 1992 05 24898·
 1992 04 82844.
 1992 03 79865.
 1992 02 9867·
 1992 01 19881.
 1991 12  51952·
 1991 11  28931·
 1991 10  46953·
 1991 09  10985.
 1991 08  781154·
 1991 07  421092.
 1991 06  261021·
 1991 05  18904.
 1991 04  15949·
 1991 03  4947·
 1991 02  63917.
 1991 01  85950.
 1990 12 35914·
 1990 11 19935·
 1990 10 931030.
 1990 09 821051.
 1990 08 401188.
 1990 07 211141.
 1990 06 791050.
 1990 05 2918·
 1990 04 56902.
 1990 03 64919·
 1990 02 11960·
 1990 01 641032.
 1989 12  31871.
 1989 11  31876.
 1989 10  0885·
 1989 09  13907.
 1989 08  431067·
 1989 07  291034.
 1989 06  84922·
 1989 05  18829.
 1989 04  91821.
 1989 03  89796.
 1989 02  27788.
 1989 01  72791.
 1988 12 0779·
 1988 11 68811·
 1988 10 16800.
 1988 09 96831.
 1988 08 221011·
 1988 07 471021·
 1988 06 64861.
 1988 05 32847·
 1988 04 31835·
 1988 03 33900.
 1988 02 9865.
 1988 01 51872.
 1987 12  28922·
 1987 11  58914·
 1987 10  14885.
 1987 09  46849.
 1987 08  38937.
 1987 07  78894.
 1987 06  67799·
 1987 05  37738·
 1987 04  12727·
 1987 03  76755·
 1987 02  80746·
 1987 01  68753.
 1986 12 24782.
 1986 11 57762.
 1986 10 92853·
 1986 09 7848·
 1986 08 761019·
 1986 07 531043.
 1986 06 66903.
 1986 05 49801·
 1986 04 93758·
 1986 03 21772·
 1986 02 88784.
 1986 01 13748.
 1985 12  25724.
 1985 11  42798.
 1985 10  73760·
 1985 09  44767.
 1985 08  48932.
 1985 07  24971·
 1985 06  59810.
 1985 05  10740.
 1985 04  61656.
 1985 03  98666·
 1985 02  7690.
 1985 01  5716.
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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, High School Graduates, No College, 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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