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 Series Title: Employment Level: Nonagriculture, Private Households Wage and Salary Workers, 18-19 years, Men: NSA
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 2000 01 664·
 2000 02 314·
 2000 03 285·
 2000 04 53
 2000 05 282.
 2000 06 755·
 2000 07 19
 2000 08 131·
 2000 09 952.
 2000 10 561.
 2000 11 48
 2000 12 101.
 2001 01  154·
 2001 02  543·
 2001 04  296.
 2001 05  862·
 2001 06  666.
 2001 07  7611·
 2001 08  995.
 2001 09  127.
 2001 10  46
 2001 11  545·
 2001 12  211.
 2002 01 821·
 2002 02 811.
 2002 03 454.
 2002 04 829·
 2002 05 147.
 2002 06 235·
 2002 07 3013·
 2002 08 976.
 2002 09 536.
 2002 10 457.
 2002 11 164·
 2002 12 35.
 2003 01  695·
 2003 02  506.
 2003 03  349.
 2003 04  626.
 2003 05  545.
 2003 06  619·
 2003 07  4114.
 2003 08  637.
 2003 09  28
 2003 10  2911.
 2003 11  1910.
 2003 12  185.
 2004 01 371·
 2004 02 303.
 2004 03 750·
 2004 04 654.
 2004 06 472·
 2004 07 652·
 2004 08 398·
 2004 09 687.
 2004 10 54
 2004 11 589.
 2004 12 698.
 2005 01  143·
 2005 06  784.
 2005 07  6014·
 2005 08  463·
 2005 10  159.
 2005 11  614.
 2005 12  461·
 2006 01 781.
 2006 02 114.
 2006 03 736·
 2006 04 171.
 2006 05 946.
 2006 07 63
 2006 10 91·
 2006 11 973·
 2007 01  547·
 2007 02  604.
 2007 03  87
 2007 04  39
 2007 05  363·
 2007 06  152·
 2007 07  5111.
 2007 08  168.
 2007 09  502.
 2007 10  651.
 2007 11  723.
 2007 12  305.
 2008 01 264.
 2008 02 735·
 2008 03 425.
 2008 04 53.
 2008 05 203.
 2008 06 283·
 2008 07 8111·
 2008 08 925.
 2008 09 152.
 2008 10 42
 2008 11 332.
 2009 04  670.
 2009 06  162.
 2009 07  521.
 2009 08  671.
 2009 09  290.
 2009 10  571.
 2009 11  23
 2009 12  780.
 2010 01 50·
 2010 02 930·
 2010 03 413.
 2010 04 844.
 2010 05 445.
 2010 06 60.
 2010 07 205.
 2010 08 308·
 2010 09 228·
 2010 10 21.
 2010 11 980·
 2010 12 854·
 2011 01  400·
 2011 02  144·
 2011 03  37
 2011 04  434.
 2011 05  23
 2011 06  983.
 2011 07  253.
 2011 08  233·
 2011 09  204.
 2011 10  351·
 2011 11  760.
 2011 12  690·
 2012 01 83.
 2012 02 32


 2012 03 270.
 2012 04 510.
 2012 05 870·
 2012 06 224.
 2012 07 410.
 2012 08 620.
 2012 09 836.
 2012 10 595.
 2012 11 59·
 2012 12 224.
 2013 01  456·
 2013 02  278.
 2013 03  347.
 2013 04  744.
 2013 05  49
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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 2: Get Employment Data for Workers in the "Retail Trade" Industry







      Example 3: Get Population Level Data for Workers





 Series Title: Employment Level: Nonagriculture, Private Households Wage and Salary Workers, 18-19 years, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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