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 Series Title: Unemployment Level: 65-69 years, Hispanic or Latino: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 014·
 2000 02 4612.
 2000 03 384·
 2000 04 673·
 2000 05 453·
 2000 06 916·
 2000 07 225·
 2000 08 863.
 2000 09 135·
 2000 10 903.
 2000 11 626.
 2000 12 609·
 2001 01  548·
 2001 02  25
 2001 03  7213·
 2001 04  342.
 2001 05  434·
 2001 06  48.
 2001 07  903·
 2001 08  752·
 2001 09  816.
 2001 10  57
 2001 11  798.
 2001 12  7910.
 2002 01 9317.
 2002 02 4120·
 2002 03 2717·
 2002 04 6416.
 2002 05 3010·
 2002 06 39
 2002 07 469.
 2002 08 753.
 2002 09 66
 2002 10 564·
 2002 11 755·
 2002 12 811.
 2003 01  318.
 2003 02  242.
 2003 03  765·
 2003 04  768.
 2003 06  663.
 2003 07  09.
 2003 08  388.
 2003 09  786.
 2003 11  52·
 2003 12  657.
 2004 01 7312·
 2004 02 3316.
 2004 03 9516·
 2004 04 26
 2004 05 186.
 2004 07 98.
 2004 08 3711.
 2004 09 162·
 2004 10 388.
 2004 11 110.
 2004 12 566.
 2005 01  897.
 2005 02  209.
 2005 03  2712.
 2005 04  314·
 2005 05  2910·
 2005 06  7617·
 2005 07  3212.
 2005 08  534·
 2005 09  426·
 2005 12  45
 2006 01 8518·
 2006 02 7
 2006 03 5810·
 2006 04 9010.
 2006 05 806·
 2006 06 896.
 2006 07 365·
 2006 08 9716·
 2006 09 36
 2006 10 5112·
 2006 11 5726.
 2006 12 826.
 2007 01  9715·
 2007 02  676.
 2007 03  2610.
 2007 04  8021·
 2007 05  3310.
 2007 06  385.
 2007 07  7713·
 2007 09  559·
 2007 10  376.
 2007 11  9011.
 2007 12  6521·
 2008 01 9611.
 2008 02 299.
 2008 03 729·
 2008 04 7213.
 2008 05 147.
 2008 06 5316·
 2008 07 6125.
 2008 08 522.
 2008 09 4839.
 2008 10 7820.
 2008 11 5632·
 2008 12 9517.
 2009 01  6115.
 2009 02  9825.
 2009 03  8317·
 2009 04  09·
 2009 05  4018.
 2009 06  3329·
 2009 07  9329·
 2009 08  029·
 2009 09  9925.
 2009 10  2518·
 2009 11  6019.
 2009 12  323·
 2010 01 7531·
 2010 02 4634·
 2010 03 8625·
 2010 04 3912.
 2010 05 3124.
 2010 06 8815·
 2010 07 9442.
 2010 08 6740.
 2010 09 5525.
 2010 10 7129·
 2010 11 3735·
 2010 12 6639·
 2011 01  6026·
 2011 02  3930.
 2011 03  8931·
 2011 04  4523.
 2011 05  8519.
 2011 06  6139.
 2011 07  5132·
 2011 08  3432·
 2011 09  9037·
 2011 10  3135.
 2011 11  4819·
 2011 12  9016.
 2012 01 6613.
 2012 02 6923·
 2012 03 3117.
 2012 04 9624·
 2012 05 2449·
 2012 06 1837·
 2012 07 7452.
 2012 08 5637.
 2012 09 334·
 2012 10 4816·
 2012 11 7828·
 2012 12 428.
 2013 01  6522·
 2013 02  5323·
 2013 03  7048.
 2013 04  9633·
 2013 05  9827.
 2013 06  5226·
 2013 07  9816·
 2013 08  1327·
 2013 09  1524.
 2013 10  8924.
 2013 11  3917·
 2013 12  6228·
 2014 01 5415·
 2014 02 337·
 2014 03 9214.
 2014 04 7512·
 2014 05 7813.
 2014 06 7919.
 2014 07 8410·
 2014 08 832.
 2014 09 7529.
 2014 10 4534·
 2014 11 6439.
 2014 12 4321·
 2015 01  5829·
 2015 02  7630·
 2015 03  828.
 2015 04  8734·
 2015 05  6418·
 2015 06  4022·
 2015 07  1713·
 2015 08  7114·
 2015 09  5628·
 2015 10  338·
 2015 11  1519.
 2015 12  5210·
 2016 01 237.
 2016 02 7311.
 2016 03 5423·
 2016 04 1126·
 2016 05 7725·
 2016 06 420.
 2016 07 823·
 2016 08 5623·
 2016 09 5719.
 2016 10 9516.
 2016 11 7825·
 2016 12 1730·
 2017 01  2435·
 2017 02  4123·
 2017 03  9018·
 2017 04  5220.


 2017 05  6714·
 2017 06  6021.
 2017 07  9323.
 2017 08  4220.
 2017 09  9921.
 2017 10  9723.
 2017 11  6323.
 2017 12  9416·
 2018 01 5819.
 2018 02 2215·
 2018 03 113.
 2018 04 3910.
 2018 05 622.
 2018 06 2728.
 2018 07 3233·
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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: 65-69 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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