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 Series Title: Population Level: Not Enrolled in School, Bachelor's degree and higher, 16-24 years, Hispanic or Latino: NSA
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 2012 04 35231·
 2012 03 19257.
 2012 02 96292.
 2012 01 6225·
 2011 12  14190·
 2011 11  85166·
 2011 10  88156·
 2011 09  22167·
 2011 08  65196·
 2011 07  55190·
 2011 06  87202.
 2011 05  42164.
 2011 04  40151.
 2011 03  12143.
 2011 02  6176·
 2011 01  12167·
 2010 12 12178.
 2010 11 61180.
 2010 10 82165·
 2010 09 99175.
 2010 08 84163.
 2010 07 35182·
 2010 06 80158·
 2010 05 99155.
 2010 04 80155.
 2010 03 91140.
 2010 02 86154·
 2010 01 31126·
 2009 12  50106.
 2009 11  9127·
 2009 10  14138·
 2009 09  38104·
 2009 08  70150.
 2009 07  97173.
 2009 06  2163·
 2009 05  89161·
 2009 04  40199·
 2009 03  86158·
 2009 02  12165.
 2009 01  80136.
 2008 12 87123·
 2008 11 33153.
 2008 10 32159·
 2008 09 29132·
 2008 08 59140·
 2008 07 20167.
 2008 06 75128·
 2008 05 80140.
 2008 04 33141·
 2008 03 53126.
 2008 02 80131·
 2008 01 292·
 2007 12  895·
 2007 11  63126.
 2007 10  8146.
 2007 09  90131·
 2007 08  11171·
 2007 07  8208.
 2007 06  48162·
 2007 05  62149.
 2007 04  92106.
 2007 03  6997.
 2007 02  13100·
 2007 01  6398·
 2006 12 26113.
 2006 11 52140.
 2006 10 40155·
 2006 09 62134·
 2006 08 13178.
 2006 07 90160·
 2006 06 94177.
 2006 05 53132.
 2006 04 7986·
 2006 03 39102.
 2006 02 6092·
 2006 01 5595.
 2005 12  7490.
 2005 11  8080.
 2005 10  53100.
 2005 09  1388.
 2005 08  74120·
 2005 07  21141·
 2005 06  10143·
 2005 05  94109·
 2005 04  7993.
 2005 03  9399.
 2005 02  9465.
 2005 01  9579·
 2004 12 1468.
 2004 11 5290.
 2004 10 93114·
 2004 09 33151·
 2004 08 30159.
 2004 07 80145.
 2004 06 20136·
 2004 05 53111·
 2004 04 283·
 2004 03 8479.
 2004 02 12114·
 2004 01 2489·
 2003 12  31104·
 2003 11  9697·
 2003 10  3489·
 2003 09  40108.
 2003 08  42101.
 2003 07  71108·
 2003 06  7192·
 2003 05  2194·
 2003 04  8589·
 2003 03  9394·
 2003 02  39104.
 2003 01  10100·
 2002 12 3693.
 2002 11 66121·
 2002 10 73132.
 2002 09 76108·
 2002 08 95165.
 2002 07 24149.
 2002 06 38116·
 2002 05 1473·
 2002 04 8761·
 2002 03 2267·
 2002 02 2195·
 2002 01 4388·
 2001 12  6482·
 2001 11  4399.
 2001 10  35110.
 2001 09  7107·
 2001 08  99125·
 2001 07  93139.
 2001 06  17130·
 2001 05  76112·
 2001 04  95110.
 2001 03  377·
 2001 02  3280·
 2001 01  4267·
 2000 12 7569.
 2000 11 3091.
 2000 10 6672.
 2000 09 2694·
 2000 08 9193·
 2000 07 57117.
 2000 06 33105·
 2000 05 7188.
 2000 04 1886.
 2000 03 8976.
 2000 02 7071·
 2000 01 4763.
 1999 12  5656.
 1999 11  5842·
 1999 10  4061·
 1999 09  4867·
 1999 08  3169.
 1999 07  2054·
 1999 06  3267.
 1999 05  9333·
 1999 04  9352.
 1999 03  5874·
 1999 02  5887.
 1999 01  2685.
 1998 12 1764.
 1998 11 7954.
 1998 10 5664.
 1998 09 1753·
 1998 08 456.
 1998 07 1269.
 1998 06 8874.
 1998 05 5867.
 1998 04 7974·
 1998 03 1786·
 1998 02 4474.
 1998 01 7166·
 1997 12  9363·
 1997 11  7361·
 1997 10  3573.
 1997 09  9776·
 1997 08  2180.
 1997 07  8885·
 1997 06  074.
 1997 05  858·
 1997 04  6461.
 1997 03  9347·
 1997 02  149.
 1997 01  9743.
 1996 12 4651·
 1996 11 4556.
 1996 10 2766·
 1996 09 8380·
 1996 08 1879·
 1996 07 2674.
 1996 06 8960.
 1996 05 1046·
 1996 04 5656·
 1996 03 4148·
 1996 02 2782·
 1996 01 4781·
 1995 12  5980.
 1995 11  2491·
 1995 10  375.
 1995 09  8963.
 1995 08  5476.
 1995 07  3060.
 1995 06  534.
 1995 05  5535·
 1995 04  9152.
 1995 03  4152.
 1995 02  4662.
 1995 01  8855·
 1994 12 4563.
 1994 11 6470.
 1994 10 6367.
 1994 09 5847·
 1994 08 1767.
 1994 07 3064·
 1994 06 2068.
 1994 05 6057.
 1994 04 3149·
 1994 03 9751.
 1994 02 453.
 1994 01 1160.
 1993 12  3986.
 1993 11  4592·
 1993 10  2988.
 1993 09  5773.
 1993 08  1578·
 1993 07  8175.
 1993 06  3272.
 1993 05  6759.
 1993 04  6057.
 1993 03  3754.
 1993 02  7639·
 1993 01  3439.
 1992 12 042·
 1992 11 7045·
 1992 10 4937·
 1992 09 7839.
 1992 08 8561.
 1992 07 6156.
 1992 06 6447·
 1992 05 4349.
 1992 04 9055.
 1992 03 1768·
 1992 02 5973.
 1992 01 9860.
 1991 12  1547·
 1991 11  7038.
 1991 10  9744·
 1991 09  3741.
 1991 08  8760·
 1991 07  7563·
 1991 06  6574·
 1991 05  8049.
 1991 04  5562·
 1991 03  1675.
 1991 02  7770·
 1991 01  7068.
 1990 12 9560.
 1990 11 9866.
 1990 10 7055.
 1990 09 7659.
 1990 08 757.
 1990 07 5372.
 1990 06 759·
 1990 05 9450·
 1990 04 1756·
 1990 03 3748·
 1990 02 7750.
 1990 01 4155.
 1989 12  7456·
 1989 11  3351.
 1989 10  9148.
 1989 09  6252.
 1989 08  5546·
 1989 07  4771·
 1989 06  8967·
 1989 05  2743·
 1989 04  6038.
 1989 03  1144.
 1989 02  3252.
 1989 01  2939·
 1988 12 1441·
 1988 11 8148·
 1988 10 957·
 1988 09 8748·
 1988 08 6761.
 1988 07 3957.
 1988 06 3349·
 1988 05 4665·
 1988 04 9659.
 1988 03 9158·
 1988 02 4166·
 1988 01 7562.
 1987 12  9950·
 1987 11  7052.
 1987 10  9646.
 1987 09  6856·
 1987 08  467.
 1987 07  3178.
 1987 06  8762.
 1987 05  4364·
 1987 04  5956.
 1987 03  5755.
 1987 02  2656·
 1987 01  4642.
 1986 12 4138.
 1986 11 5448.
 1986 10 5149.
 1986 09 4655.
 1986 08 5068.
 1986 07 5468.
 1986 06 2567·
 1986 05 3560.
 1986 04 1154·
 1986 03 1355.
 1986 02 3655·
 1986 01 3443·
 1985 12  7537·
 1985 11  1443.
 1985 10  9758·
 1985 09  8770.
 1985 08  1780·
 1985 07  6279·
 1985 06  4563.
 1985 05  6353·
 1985 04  3750.
 1985 03  8942.
 1985 02  4438·
 1985 01  5631·
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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, Bachelor's degree and higher, 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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