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 Series Title: Unemployment Level: Never Married, 16 years and over, Hispanic or Latino Men: NSA
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 2000 01 48285.
 2000 02 75298.
 2000 03 41289·
 2000 04 9251.
 2000 05 71262.
 2000 06 16293.
 2000 07 39298·
 2000 08 63280·
 2000 09 91268.
 2000 10 87227.
 2000 11 69266.
 2000 12 46286·
 2001 01  60372·
 2001 02  68332.
 2001 03  45328.
 2001 04  3297·
 2001 05  52282.
 2001 06  68395·
 2001 07  3342.
 2001 08  4334.
 2001 09  67287·
 2001 10  18330·
 2001 11  7370·
 2001 12  41391·
 2002 01 32397.
 2002 02 74377.
 2002 03 45418·
 2002 04 36345.
 2002 05 97294.
 2002 06 18346·
 2002 07 30385·
 2002 08 31435·
 2002 09 36415·
 2002 10 56420.
 2002 11 99384.
 2002 12 95377·
 2003 01  50435.
 2003 02  21416·
 2003 03  16370·
 2003 04  24353·
 2003 05  66385.
 2003 06  68438·
 2003 07  67462·
 2003 08  36401.
 2003 09  32339·
 2003 10  80376·
 2003 11  67396·
 2003 12  75355·
 2004 01 25441·
 2004 02 63473·
 2004 03 53470.
 2004 04 10402·
 2004 05 45401.
 2004 06 49374·
 2004 07 88362.
 2004 08 35383·
 2004 09 17397·
 2004 10 94360·
 2004 11 60328.
 2004 12 70341·
 2005 01  92344.
 2005 02  80381·
 2005 03  82353·
 2005 04  59384·
 2005 05  45317·
 2005 06  14289.
 2005 07  91254.
 2005 08  71333·
 2005 09  76378.
 2005 10  27325·
 2005 11  51399·
 2005 12  0413.
 2006 01 11369·
 2006 02 77389·
 2006 03 49330·
 2006 04 65303·
 2006 05 0245·
 2006 06 43368·
 2006 07 98351·
 2006 08 10368.
 2006 09 19295·
 2006 10 35284·
 2006 11 37279·
 2006 12 5340·
 2007 01  68422·
 2007 02  81364·
 2007 03  27373·
 2007 04  43290·
 2007 05  73312.
 2007 06  41375·
 2007 07  58359·
 2007 08  45359·
 2007 09  83393·
 2007 10  95384·
 2007 11  42325.
 2007 12  52399.
 2008 01 74444.
 2008 02 49443·
 2008 03 16507.
 2008 04 36457.
 2008 05 47456·
 2008 06 36476·
 2008 07 44506.
 2008 08 90530·
 2008 09 27505.
 2008 10 12597.
 2008 11 13561·
 2008 12 34613·
 2009 01  64645·
 2009 02  59725·
 2009 03  37706·
 2009 04  11658·
 2009 05  34743.
 2009 06  83746·
 2009 07  53787.
 2009 08  90830·
 2009 09  37761.
 2009 10  16881.
 2009 11  25822.
 2009 12  66807·
 2010 01 99936.
 2010 02 15841.
 2010 03 39911.
 2010 04 58797.
 2010 05 70749.
 2010 06 61875.
 2010 07 10789.
 2010 08 10751·
 2010 09 24793·
 2010 10 61711.
 2010 11 74801·
 2010 12 91825·
 2011 01  64899.
 2011 02  47792.
 2011 03  95740·
 2011 04  95718·
 2011 05  14732·
 2011 06  75774·
 2011 07  61740·
 2011 08  42702.
 2011 09  24655·
 2011 10  26718·
 2011 11  84730·
 2011 12  75739·
 2012 01 70708·


 2012 02 8811·
 2012 03 3768·
 2012 04 64653·
 2012 05 52757.
 2012 06 53858.
 2012 07 80800.
 2012 08 3715.
 2012 09 96624·
 2012 10 16667·
 2012 11 4641·
 2012 12 11633.
 2013 01  52776.
 2013 02  79712.
 2013 03  86651.
 2013 04  32622.
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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.
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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: Unemployment Level: Never Married, 16 years and over, Hispanic or Latino Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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