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 Series Title: Unemployment Level: 45-49 years, Hispanic or Latino Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 7230.
 2000 02 9226·
 2000 03 4024.
 2000 04 3216.
 2000 05 817.
 2000 06 821·
 2000 07 7724·
 2000 08 8729.
 2000 09 9217·
 2000 10 522·
 2000 11 9518.
 2000 12 2123.
 2001 01  7441.
 2001 02  6228.
 2001 03  920·
 2001 04  7918.
 2001 05  2913·
 2001 06  8825·
 2001 07  5630·
 2001 08  3047·
 2001 09  5823.
 2001 10  1422·
 2001 11  9934·
 2001 12  6934·
 2002 01 8646·
 2002 02 9541·
 2002 03 2537.
 2002 04 1446·
 2002 05 6437.
 2002 06 1531.
 2002 07 4845.
 2002 08 1043·
 2002 09 6649.
 2002 10 7949·
 2002 11 558.
 2002 12 2566.
 2003 01  9472.
 2003 02  1965·
 2003 03  6076·
 2003 04  5470·
 2003 05  7371.
 2003 06  9368.
 2003 07  053.
 2003 08  1752·
 2003 09  5350.
 2003 10  8040.
 2003 11  3849·
 2003 12  5643.
 2004 01 958.
 2004 02 8969.
 2004 03 1264.
 2004 04 4252·
 2004 05 4257.
 2004 06 5138.
 2004 07 8645·
 2004 08 6955.
 2004 09 7715·
 2004 10 2244·
 2004 11 4654.
 2004 12 5551.
 2005 01  6556.
 2005 02  8453.
 2005 03  634·
 2005 04  4420.
 2005 05  8135·
 2005 06  4324.
 2005 07  337.
 2005 08  729.
 2005 09  2654.
 2005 10  3244.
 2005 11  163.
 2005 12  3742.
 2006 01 2450·
 2006 02 742.
 2006 03 8737·
 2006 04 5218.
 2006 05 2725.
 2006 06 5043.
 2006 07 7544·
 2006 08 9840.
 2006 09 922·
 2006 10 6722·
 2006 11 229·
 2006 12 4431.
 2007 01  7260.
 2007 02  9064·
 2007 03  3167.
 2007 04  8349·
 2007 05  3956·
 2007 06  7535·
 2007 07  5058·
 2007 08  3540·
 2007 09  6343·
 2007 10  434·
 2007 11  7241.
 2007 12  4482.
 2008 01 1760·
 2008 02 8581.
 2008 03 3470·
 2008 04 7872.
 2008 05 365.
 2008 06 4784·
 2008 07 154.
 2008 08 3353·
 2008 09 4779.
 2008 10 4988·
 2008 11 5896·
 2008 12 27104·
 2009 01  97121.
 2009 02  72116·
 2009 03  2096.
 2009 04  597·
 2009 05  3092·
 2009 06  22119·
 2009 07  25166.
 2009 08  35170.
 2009 09  47158·
 2009 10  30124.
 2009 11  35150.
 2009 12  12175·
 2010 01 72198·
 2010 02 55159.
 2010 03 37148.
 2010 04 55119.
 2010 05 56114·
 2010 06 77124·
 2010 07 46127·
 2010 08 7147·
 2010 09 74159.
 2010 10 3152·
 2010 11 99194.
 2010 12 39188.
 2011 01  27185.
 2011 02  64164.
 2011 03  58120·
 2011 04  44136·
 2011 05  40126.
 2011 06  18113.
 2011 07  12113·
 2011 08  42116.
 2011 09  6388·
 2011 10  45112.
 2011 11  74121.
 2011 12  76138.
 2012 01 72154.
 2012 02 53120·
 2012 03 81135.
 2012 04 16102·
 2012 05 68101.
 2012 06 73112·
 2012 07 96132·
 2012 08 55140·
 2012 09 75117·
 2012 10 6296.
 2012 11 8110.
 2012 12 14112·
 2013 01  44123.
 2013 02  299.
 2013 03  2976.
 2013 04  36101·
 2013 05  5175.
 2013 06  9855.
 2013 07  9688.
 2013 08  9073.
 2013 09  9553·
 2013 10  83119·
 2013 11  74100·
 2013 12  7062.
 2014 01 377.
 2014 02 1358·
 2014 03 4958.
 2014 04 9682·
 2014 05 2564.
 2014 06 7159·
 2014 07 3673.
 2014 08 1289·
 2014 09 3571·
 2014 10 6264·
 2014 11 7048·
 2014 12 8655·
 2015 01  3590·
 2015 02  1849·
 2015 03  1655·
 2015 04  1363.
 2015 05  4955·
 2015 06  9670·
 2015 07  6278.
 2015 08  1384·
 2015 09  2974·
 2015 10  7854.
 2015 11  1952.
 2015 12  2857·
 2016 01 4985·
 2016 02 7063·
 2016 03 2790.
 2016 04 2991.
 2016 05 1058.
 2016 06 448.
 2016 07 4855.
 2016 08 1050.
 2016 09 3848·
 2016 10 3667.
 2016 11 7045·
 2016 12 8951·
 2017 01  8275.


 2017 02  4825.
 2017 03  562.
 2017 04  1136·
 2017 05  1833.
 2017 06  4733·
 2017 07  9337.
 2017 08  4553.
 2017 09  4736·
 2017 10  6517·
 2017 11  9440.
 2017 12  8674.
 2018 01 9458·
 2018 02 5763.
 2018 03 9952.
 2018 04 5128.
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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: Unemployment Level: 45-49 years, Hispanic or Latino Men: 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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