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 Series Title: Population Level: High School Graduates, No College, 25 years and over: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 3162066.
 2012 03 6261861.
 2012 02 8662364.
 2012 01 3961840.
 2011 12  7761756·
 2011 11  6261552.
 2011 10  5461778.
 2011 09  4861636·
 2011 08  1461584·
 2011 07  8561937.
 2011 06  4862096·
 2011 05  8162385.
 2011 04  9362060·
 2011 03  1361911.
 2011 02  8162254·
 2011 01  8162235.
 2010 12 9062732·
 2010 11 5361924.
 2010 10 9161806.
 2010 09 1961620·
 2010 08 361848·
 2010 07 3761628·
 2010 06 4061494·
 2010 05 8762030·
 2010 04 6062266.
 2010 03 2062651·
 2010 02 1662670.
 2010 01 661777.
 2009 12  961233·
 2009 11  8561311·
 2009 10  3361305.
 2009 09  1961352.
 2009 08  2861556.
 2009 07  3961345·
 2009 06  2961223.
 2009 05  9661398.
 2009 04  1661414·
 2009 03  1261689·
 2009 02  6561806·
 2009 01  3061991·
 2008 12 9861898.
 2008 11 6261397·
 2008 10 3061420.
 2008 09 4261328·
 2008 08 2461015.
 2008 07 7161186·
 2008 06 3760753.
 2008 05 7461052·
 2008 04 7260594.
 2008 03 4460890·
 2008 02 2560812.
 2008 01 9661038·
 2007 12  3961734.
 2007 11  1461806·
 2007 10  5461492·
 2007 09  261660·
 2007 08  5361248.
 2007 07  3660771·
 2007 06  1560916·
 2007 05  1260882.
 2007 04  6361196·
 2007 03  9461400.
 2007 02  1961668.
 2007 01  6961700·
 2006 12 4560944.
 2006 11 9361072·
 2006 10 460696·
 2006 09 4360755.
 2006 08 060638.
 2006 07 6560249.
 2006 06 3361005·
 2006 05 2760667.
 2006 04 5160584·
 2006 03 6760942·
 2006 02 9560601.
 2006 01 4260825·
 2005 12  5160480·
 2005 11  8060556·
 2005 10  260248·
 2005 09  3160016.
 2005 08  7460082·
 2005 07  1259667·
 2005 06  9260284·
 2005 05  6260504.
 2005 04  2160719·
 2005 03  9260977·
 2005 02  2760698·
 2005 01  3160667.
 2004 12 1759769.
 2004 11 8059651.
 2004 10 9659389.
 2004 09 5759654.
 2004 08 1360130·
 2004 07 5560037.
 2004 06 1260135·
 2004 05 8360084·
 2004 04 8460095.
 2004 03 2459691.
 2004 02 1259866.
 2004 01 7959818.
 2003 12  2959802·
 2003 11  2060148.
 2003 10  6059581·
 2003 09  3959728·
 2003 08  7659432.
 2003 07  9959138·
 2003 06  4359286.
 2003 05  8259186·
 2003 04  7459189.
 2003 03  4259253·
 2003 02  7459386.
 2003 01  5259626·
 2002 12 9859440·
 2002 11 5659773.
 2002 10 9259278.
 2002 09 1859442·
 2002 08 4959105·
 2002 07 7358345·
 2002 06 5858374·
 2002 05 7558338·
 2002 04 5258180.
 2002 03 5058605.
 2002 02 6158614.
 2002 01 4258832.
 2001 12  5858751.
 2001 11  6758630.
 2001 10  1458468.
 2001 09  6258628.
 2001 08  4258701·
 2001 07  3258136·
 2001 06  5458255.
 2001 05  558594.
 2001 04  558566.
 2001 03  7758774.
 2001 02  4558722.
 2001 01  6559228·
 2000 12 7159034.
 2000 11 5758669·
 2000 10 7558481.
 2000 09 6158345·
 2000 08 9257932·
 2000 07 5558202.
 2000 06 5558607·
 2000 05 3858748·
 2000 04 4259027.
 2000 03 7859047·
 2000 02 2558457·
 2000 01 6458762.
 1999 12  2257590·
 1999 11  5657789·
 1999 10  4757275·
 1999 09  3357518·
 1999 08  5857195.
 1999 07  4757162·
 1999 06  957963.
 1999 05  6657931·
 1999 04  9957945·
 1999 03  3157805.
 1999 02  2457062.
 1999 01  557477.
 1998 12 2257115.
 1998 11 1757273.
 1998 10 2957666.
 1998 09 2057589·
 1998 08 2657729.
 1998 07 3557374·
 1998 06 8857446·
 1998 05 557706·
 1998 04 3757484.
 1998 03 4357885.
 1998 02 8957418·
 1998 01 8057606.
 1997 12  657631.
 1997 11  2157310.
 1997 10  4457459·
 1997 09  8857483·
 1997 08  757607·
 1997 07  7657581·
 1997 06  9257643·
 1997 05  9957392.
 1997 04  4157239·
 1997 03  4057148·
 1997 02  9457172·
 1997 01  657422·
 1996 12 3456947.
 1996 11 7156782·
 1996 10 4056773.
 1996 09 2956757·
 1996 08 3656327·
 1996 07 4855880.
 1996 06 4256283·
 1996 05 1256381.
 1996 04 2256368·
 1996 03 7956073·
 1996 02 3756008·
 1996 01 2556420·
 1995 12  9356281.
 1995 11  9656017·
 1995 10  9055623.
 1995 09  6056288.
 1995 08  7456065·
 1995 07  5555782.
 1995 06  8756459·
 1995 05  3856238.
 1995 04  1556155·
 1995 03  3856250·
 1995 02  4155864.
 1995 01  356737.
 1994 12 9356404.
 1994 11 5156356.
 1994 10 9256229.
 1994 09 2356652·
 1994 08 656886.
 1994 07 2756777·
 1994 06 057295.
 1994 05 9356869.
 1994 04 8156285·
 1994 03 2156216·
 1994 02 5456072.
 1994 01 3257673.
 1993 12  6957970.
 1993 11  1657721·
 1993 10  6857869.
 1993 09  8457938.
 1993 08  4358051.
 1993 07  1857732·
 1993 06  7957886·
 1993 05  1957648.
 1993 04  657380.
 1993 03  5956959.
 1993 02  4956746.
 1993 01  3056845.
 1992 12 8156794.
 1992 11 9456889·
 1992 10 6856933·
 1992 09 3657133·
 1992 08 2157417·
 1992 07 757078·
 1992 06 4757222·
 1992 05 8257318·
 1992 04 9957291·
 1992 03 457161.
 1992 02 2557121.
 1992 01 3756911.
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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: High School Graduates, No College, 25 years and over: SA
   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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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