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: Employment-Population Ratio: 55-64 years Hispanic or Latino Men: 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
 1994 11 9561.0
 1994 12 8260·2
 1995 01  7756·3
 1995 02  756·1
 1995 03  2456·6
 1995 04  8255.0
 1995 05  3755·9
 1995 06  7557.9
 1995 07  6259·1
 1995 08  2460.1
 1995 09  4258.7
 1995 10  8657.7
 1995 11  6258·2
 1995 12  8957.9
 1996 01 457.4
 1996 02 8359.7
 1996 03 9760.4
 1996 04 8661.4
 1996 05 6261·0
 1996 06 3662·8
 1996 07 6861·6
 1996 08 4462·7
 1996 09 7863·4
 1996 10 3963·9
 1996 11 159·4
 1996 12 2163·9
 1997 01  4165·2
 1997 02  1163·5
 1997 03  4666·3
 1997 04  9964·4
 1997 05  6262·8
 1997 06  9662.1
 1997 07  7962·3
 1997 08  8464·5
 1997 09  8163·7
 1997 10  6364.1
 1997 11  9963·6
 1997 12  763·0
 1998 01 5964.5
 1998 02 764.6
 1998 03 3268·0
 1998 04 2666·0
 1998 05 8567.5
 1998 06 4667.6
 1998 07 2965·2
 1998 08 2163.0
 1998 09 7267·5
 1998 10 2568·0
 1998 11 6667·1
 1998 12 168.3
 1999 01  5867.6
 1999 02  1365.7
 1999 03  4168.3
 1999 04  9566.2
 1999 05  468·1
 1999 06  367·2
 1999 07  8164.3
 1999 08  6263·8
 1999 09  164·1
 1999 10  1662.0
 1999 11  3763·0
 1999 12  8265.7
 2000 01 5965.9
 2000 02 9566.9
 2000 03 8368·9
 2000 04 6271.2
 2000 05 1868.3
 2000 06 968·0
 2000 07 2068·8
 2000 08 3465.6
 2000 09 3966·1
 2000 10 5364·0
 2000 11 7359.5
 2000 12 5466·3
 2001 01  1264·5
 2001 02  4663.8
 2001 03  9366·3
 2001 04  566.6
 2001 05  4868.3
 2001 06  3166.2
 2001 07  5565.7
 2001 08  9264·2
 2001 09  8665·9
 2001 10  7863·8
 2001 11  6058·1
 2001 12  4859.0
 2002 01 8959·0
 2002 02 8258·4
 2002 03 3263·9
 2002 04 2962·7
 2002 05 4463·8
 2002 06 6063·9
 2002 07 2364.4
 2002 08 1663.3
 2002 09 6466·0
 2002 10 5866·2
 2002 11 861·6
 2002 12 1764.2
 2003 01  8863·5
 2003 02  4562.6
 2003 03  8663·5
 2003 04  6364·2
 2003 05  7859.3
 2003 06  1461.7
 2003 07  8462·3
 2003 08  1064.9
 2003 09  2268.7
 2003 10  8570·0
 2003 11  5265·9
 2003 12  4169.1
 2004 01 3368.6
 2004 02 263.4
 2004 03 6566·9
 2004 04 6168·1
 2004 05 4864·7
 2004 06 3461·0
 2004 07 2465.2
 2004 08 367·2
 2004 09 3169·0
 2004 10 7565.2
 2004 11 5463·6
 2004 12 2364·9
 2005 01  7064.8
 2005 02  4464.9
 2005 03  568·2
 2005 04  368.8
 2005 05  7871·9
 2005 06  8668·2
 2005 07  5364·7
 2005 08  4966·9
 2005 09  9263·5
 2005 10  7066·4
 2005 11  9866.2
 2005 12  9464.8
 2006 01 7568·0
 2006 02 8969·2
 2006 03 6670.1
 2006 04 9371·4
 2006 05 1570.1
 2006 06 6368.7
 2006 07 764·0
 2006 08 2864·1
 2006 09 2564·7
 2006 10 3767.8
 2006 11 9665.8
 2006 12 762·6
 2007 01  4363·5
 2007 02  7862.9
 2007 03  3467.7
 2007 04  6068.6
 2007 05  3268.2
 2007 06  8267·9
 2007 07  4669.1
 2007 08  4469.0
 2007 09  8067·6
 2007 10  6768·4
 2007 11  8369·1
 2007 12  4268.1
 2008 01 9967.9
 2008 02 7866·8
 2008 03 1968·5
 2008 04 5970.0
 2008 05 2868·7
 2008 06 8466.8
 2008 07 5669.1
 2008 08 2766.2
 2008 09 3067·5
 2008 10 7969·9
 2008 11 1967·8
 2008 12 367.8
 2009 01  9166.8
 2009 02  8167.9
 2009 03  5864.5
 2009 04  6868.0
 2009 05  2664.3
 2009 06  3661·0
 2009 07  4861·7
 2009 08  3058·5
 2009 09  7260.6
 2009 10  1262.6
 2009 11  9063.2
 2009 12  1965·9
 2010 01 9163.6
 2010 02 464·8
 2010 03 964.2
 2010 04 9362.7
 2010 05 7361.9
 2010 06 3060.2
 2010 07 5661.7
 2010 08 3261.2
 2010 09 2960·1
 2010 10 3558·6
 2010 11 660.8
 2010 12 4560·8
 2011 01  9862·6
 2011 02  8862·1
 2011 03  6063·3
 2011 04  6265.2
 2011 05  4362.1
 2011 06  8361.2
 2011 07  4261.6
 2011 08  3961.9
 2011 09  5162·9
 2011 10  3962.8
 2011 11  463·1
 2011 12  6063·3
 2012 01 3561.9
 2012 02 063.6
 2012 03 2062.4
 2012 04 2963·5
 2012 05 3364·5
 2012 06 3663·0
 2012 07 9163.9
 2012 08 8063.2
 2012 09 964.8
 2012 10 4063·5
 2012 11 4362.1
 2012 12 6865·0
 2013 01  4963·9
 2013 02  3265·8
 2013 03  2663·7
 2013 04  7564·2
 2013 05  6768.2
 2013 06  5665.3
 2013 07  1465.3
 2013 08  864.2
 2013 09  163.8
 2013 10  8164.0
 2013 11  965·2
 2013 12  9866·2
 2014 01 1464·5
 2014 02 167·4
 2014 03 3766.7
 2014 04 367·4
 2014 05 9369.2
 2014 06 3666.4
 2014 07 4668·6
 2014 08 370·5
 2014 09 5269·3
 2014 10 2969·7
 2014 11 1371·5
 2014 12 671.5
 2015 01  2870·9
 2015 02  4967·8
 2015 03  3968.0
 2015 04  4270·2
 2015 05  8471.5
 2015 06  9171.8
 2015 07  4872.2
 2015 08  7070·6
 2015 09  867·3
 2015 10  7470.1
 2015 11  9069·6
 2015 12  6968·3
 2016 01 1468·8
 2016 02 4268·5
 2016 03 4367·0
 2016 04 4869.1
 2016 05 3867.9


 2016 06 6469·5
 2016 07 467·0
 2016 08 3767.0
 2016 09 4468.0
 2016 10 3470·2
 2016 11 170·6
 2016 12 9371·8
 2017 01  1969.9
 2017 02  7270·8
 2017 03  8468.7
 2017 04  9968.5
 2017 05  7769·0
 2017 06  2170·5
 2017 07  2771.2
 2017 08  5969.5
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: Employment-Population Ratio: 55-64 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

Know where the word economagic comes from?

Sites of Interest: GGG Marketing SEO Experts * homes for sale - pelican marsh * Parker Waichman - Personal Injury Attorney * cheap wedding dresses - trusted supplier Weddingdresstrend.com * The Wall Street Examiner: Be prepared. Stay ahead of the herd

 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