Economagic.com: Economic Time Series Page
 Browse Data Titles  |  Charts  |  Excel  |  Reports  |  Search  |  Maps & Movies  |  Help
 Subscriber Login  |  Subscription Info  |  Turn Advanced Features On  |  Change Defaults

 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
   Transform this series  |  Display series in COPY/PASTE format  |  Reverse this series  |  Data set page
Link to Series in Level 1 Subscription Site
Link to Series in Level 2 Subscription Site
Link to Series in Level 0 Subscription Site
Go to end of data set
 2000 01 3014·
 2000 02 5312.
 2000 03 674.
 2000 04 233·
 2000 05 03.
 2000 06 756.
 2000 07 305·
 2000 08 763.
 2000 09 55.
 2000 10 64
 2000 11 646·
 2000 12 979.
 2001 01  958.
 2001 02  27.
 2001 03  8013·
 2001 04  29
 2001 05  464·
 2001 06  968·
 2001 07  163·
 2001 08  422·
 2001 09  586.
 2001 10  775.
 2001 11  36
 2001 12  3010.
 2002 01 5717.
 2002 02 120·
 2002 03 2717.
 2002 04 1116·
 2002 05 9310·
 2002 06 514·
 2002 07 2
 2002 08 31
 2002 09 429.
 2002 10 334·
 2002 11 99
 2002 12 581.
 2003 01  318.
 2003 02  782·
 2003 03  815·
 2003 04  868.
 2003 06  33.
 2003 07  449·
 2003 08  358·
 2003 09  356.
 2003 11  912.
 2003 12  127.
 2004 01 7612·
 2004 02 4916·
 2004 03 4316.
 2004 04 893.
 2004 05 406.
 2004 07 968·
 2004 08 5911·
 2004 09 62.
 2004 10 908·
 2004 11 7210.
 2004 12 666·
 2005 01  207.
 2005 02  159·
 2005 03  9412.
 2005 04  1214·
 2005 05  1210·
 2005 06  2717.
 2005 07  812·
 2005 08  744.
 2005 09  896·
 2005 12  645·
 2006 01 8218.
 2006 02 529.
 2006 03 8410·
 2006 04 8910.
 2006 05 116.
 2006 06 71
 2006 07 515·
 2006 08 9016·
 2006 09 136.
 2006 10 8212·
 2006 11 7426·
 2006 12 806.
 2007 01  3315.
 2007 02  616.
 2007 03  5910.
 2007 04  9721·
 2007 05  4010.
 2007 06  65.
 2007 07  3713·
 2007 09  39·
 2007 10  286·
 2007 11  4511.
 2007 12  6521.
 2008 01 8611.
 2008 02 179.
 2008 03 279·
 2008 04 2513.
 2008 05 607·
 2008 06 5016·
 2008 07 2725·
 2008 08 2322·
 2008 09 6239.
 2008 10 9620·
 2008 11 4732·
 2008 12 9117.
 2009 01  5615.
 2009 02  5025·
 2009 03  1117·
 2009 04  85
 2009 05  2818·
 2009 06  3029.
 2009 07  7029.
 2009 08  8829.
 2009 09  9325·
 2009 10  8218·
 2009 11  9919·
 2009 12  623.
 2010 01 8731·
 2010 02 7434.
 2010 03 9925.
 2010 04 7012·
 2010 05 7324·
 2010 06 015·
 2010 07 9542·
 2010 08 3740·
 2010 09 4125.
 2010 10 7929·
 2010 11 3735.
 2010 12 9039.
 2011 01  226.
 2011 02  5630.
 2011 03  131·
 2011 04  3323·
 2011 05  9419.
 2011 06  9939·
 2011 07  8732.
 2011 08  032.
 2011 09  8137.
 2011 10  335.
 2011 11  2119.
 2011 12  4616·
 2012 01 4913.
 2012 02 8723·
 2012 03 5317.
 2012 04 5424.
 2012 05 1349·
 2012 06 9537.
 2012 07 5852.
 2012 08 3037.
 2012 09 1034·
 2012 10 9616.
 2012 11 3728.
 2012 12 528·
 2013 01  222.
 2013 02  8523·
 2013 03  1548.
 2013 04  3733·
 2013 05  7927·
 2013 06  8026.
 2013 07  4316.
 2013 08  627·
 2013 09  5224·
 2013 10  2624·
 2013 11  9517·
 2013 12  2028·
 2014 01 5915·
 2014 02 917·
 2014 03 7314.
 2014 04 1112.
 2014 05 6413.
 2014 06 7119·
 2014 07 210·
 2014 08 3432·
 2014 09 5429·
 2014 10 8334.
 2014 11 3139·
 2014 12 7221.
 2015 01  4229.
 2015 02  7330.
 2015 03  3828·
 2015 04  3034.
 2015 05  6618.
 2015 06  922.
 2015 07  2113.
 2015 08  4214.
 2015 09  9028.
 2015 10  858.
 2015 11  619.
 2015 12  6310·
 2016 01 07.
 2016 02 2111·
 2016 03 4423.
 2016 04 7526·
 2016 05 1025.
 2016 06 6120.
 2016 07 1023.
 2016 08 8523.
 2016 09 5719.
 2016 10 7316·
 2016 11 525·
 2016 12 2430·
 2017 01  535·
 2017 02  5323.
 2017 03  5318.
 2017 04  4920.
 2017 05  4114.
 2017 06  1921·


 2017 07  623.
 2017 08  4120.
 2017 09  7921.
 2017 10  1523.
 2017 11  3823.
 2017 12  816·
 2018 01 5619·
 2018 02 1015·
 2018 03 5013.
 2018 04 8110.
 2018 05 3522·
 2018 06 028·
 2018 07 6833.
 2018 08 1631·
 2018 09 427.
Economagic: Year Chart
Economagic: Economic Chart Dispenser

Click on chart to change display options.


Similar Series

Skip to Data / More Chart Options

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

Want state and city building permits data? Click here for California and then find your own.

Sites of Interest: Conerly Consulting: Economics for Business Decisions * GGG Marketing SEO Experts * homes for sale - pelican marsh * Invokana Attorneys *

 Subscriber Login  |  Subscription Info  |  Turn Advanced Features On  |  Change Defaults  |  Disclaimer
 Browse Data Titles  |  Charts  |  Excel  |  Reports  |  Search  |  Maps & Movies  |  Help  |  About  |  Contact Us
 Economagic.com: Economic Time Series Page
Sitemap