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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 5414.
 2000 02 9112.
 2000 03 534.
 2000 04 75
 2000 05 143·
 2000 06 306·
 2000 07 865·
 2000 08 73
 2000 09 655·
 2000 10 923.
 2000 11 446.
 2000 12 959.
 2001 01  588.
 2001 02  607.
 2001 03  4113.
 2001 04  852·
 2001 05  684.
 2001 06  398·
 2001 07  143.
 2001 08  112.
 2001 09  966·
 2001 10  615.
 2001 11  278·
 2001 12  6910.
 2002 01 6717.
 2002 02 8420.
 2002 03 6817·
 2002 04 7716.
 2002 05 3010.
 2002 06 884·
 2002 07 499.
 2002 08 793·
 2002 09 639·
 2002 10 814.
 2002 11 85·
 2002 12 451.
 2003 01  6518.
 2003 02  932.
 2003 03  95·
 2003 04  688·
 2003 06  613·
 2003 07  829.
 2003 08  38
 2003 09  686.
 2003 11  22·
 2003 12  307·
 2004 01 912.
 2004 02 9016.
 2004 03 6316·
 2004 04 423.
 2004 05 606·
 2004 07 18.
 2004 08 4511·
 2004 09 512.
 2004 10 548·
 2004 11 9610·
 2004 12 736·
 2005 01  137.
 2005 02  799·
 2005 03  9512·
 2005 04  9714·
 2005 05  910.
 2005 06  4717·
 2005 07  4112.
 2005 08  934·
 2005 09  476·
 2005 12  965.
 2006 01 418.
 2006 02 619·
 2006 03 5910.
 2006 04 9010.
 2006 05 786·
 2006 06 276·
 2006 07 995.
 2006 08 1516.
 2006 09 816·
 2006 10 4112·
 2006 11 5226.
 2006 12 866.
 2007 01  5915.
 2007 02  786·
 2007 03  2210·
 2007 04  4021·
 2007 05  8010·
 2007 06  395·
 2007 07  4213·
 2007 09  399.
 2007 10  386·
 2007 11  4911.
 2007 12  6821.
 2008 01 7311.
 2008 02 539·
 2008 03 599·
 2008 04 8213.
 2008 05 537.
 2008 06 6816.
 2008 07 4425.
 2008 08 9122·
 2008 09 1739·
 2008 10 5320·
 2008 11 432·
 2008 12 2617.
 2009 01  2915·
 2009 02  225·
 2009 03  6417.
 2009 04  44
 2009 05  7618.
 2009 06  3429·
 2009 07  7629·
 2009 08  2629·
 2009 09  7125.
 2009 10  9318.
 2009 11  1419.
 2009 12  7923.
 2010 01 5331·
 2010 02 4834·
 2010 03 7925·
 2010 04 3512.
 2010 05 8324·
 2010 06 9415·
 2010 07 9742·
 2010 08 5140.
 2010 09 5025.
 2010 10 5029.
 2010 11 1735·
 2010 12 739·
 2011 01  6726.
 2011 02  5930.
 2011 03  1531.
 2011 04  1123.
 2011 05  7119·
 2011 06  9139·
 2011 07  9232·
 2011 08  9532.
 2011 09  2637.
 2011 10  4035.
 2011 11  7219·
 2011 12  1516.
 2012 01 2013.
 2012 02 2623.
 2012 03 717.
 2012 04 5224·
 2012 05 6549.
 2012 06 9137.
 2012 07 7152·
 2012 08 1337·
 2012 09 9834.
 2012 10 616·
 2012 11 6528.
 2012 12 3028.
 2013 01  8522.
 2013 02  6523.
 2013 03  1548.
 2013 04  6033·
 2013 05  1027.
 2013 06  8626.
 2013 07  7016·
 2013 08  8427·
 2013 09  8924·
 2013 10  1524.
 2013 11  717.
 2013 12  928·
 2014 01 5915·
 2014 02 197.
 2014 03 2514.
 2014 04 6612·
 2014 05 8213.
 2014 06 9319.
 2014 07 5110.
 2014 08 1332·
 2014 09 4729·
 2014 10 5734·
 2014 11 3339.
 2014 12 3021·
 2015 01  6629.
 2015 02  5430·
 2015 03  4828.
 2015 04  2434·
 2015 05  7818·
 2015 06  5422.
 2015 07  9713·
 2015 08  2814·
 2015 09  4428.
 2015 10  508.
 2015 11  419.
 2015 12  9710·
 2016 01 547.
 2016 02 6211·
 2016 03 2023·
 2016 04 1326·
 2016 05 2025·
 2016 06 3520·
 2016 07 2023·
 2016 08 8323.
 2016 09 8019.
 2016 10 3616.
 2016 11 525.
 2016 12 3930.
 2017 01  9635.
 2017 02  6123.
 2017 03  018·
 2017 04  3720.
 2017 05  5714.
 2017 06  2821.
 2017 07  5523.
 2017 08  5920.
 2017 09  7621.


 2017 10  8123·
 2017 11  4623·
 2017 12  1216·
 2018 01 9019.
 2018 02 9115.
 2018 03 7413·
 2018 04 2710.
 2018 05 6222.
 2018 06 5028.
 2018 07 6333·
 2018 08 6031.
 2018 09 8127.
 2018 10 787·
 2018 11 6517·
 2018 12 9417·
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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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