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 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
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 1994 11 5361.0
 1994 12 8460.2
 1995 01  9856·3
 1995 02  5856.1
 1995 03  5556.6
 1995 04  8055.0
 1995 05  2655·9
 1995 06  1657.9
 1995 07  5659.1
 1995 08  560·1
 1995 09  8658.7
 1995 10  457.7
 1995 11  458·2
 1995 12  4257·9
 1996 01 9157.4
 1996 02 6659·7
 1996 03 7560.4
 1996 04 9761·4
 1996 05 7961.0
 1996 06 7262·8
 1996 07 7161.6
 1996 08 162·7
 1996 09 1363·4
 1996 10 1463.9
 1996 11 1559.4
 1996 12 1163.9
 1997 01  8165.2
 1997 02  1363·5
 1997 03  5966·3
 1997 04  1064·4
 1997 05  9562.8
 1997 06  1362.1
 1997 07  7862·3
 1997 08  364·5
 1997 09  9463.7
 1997 10  8264·1
 1997 11  7363.6
 1997 12  2263·0
 1998 01 4064.5
 1998 02 1564.6
 1998 03 6868.0
 1998 04 2466.0
 1998 05 2267·5
 1998 06 3267.6
 1998 07 1465·2
 1998 08 9163.0
 1998 09 5167.5
 1998 10 7568.0
 1998 11 8667·1
 1998 12 2968.3
 1999 01  6767·6
 1999 02  1565·7
 1999 03  8668.3
 1999 04  6966·2
 1999 05  3268.1
 1999 06  4567.2
 1999 07  3864.3
 1999 08  6963·8
 1999 09  3364.1
 1999 10  8562.0
 1999 11  9263·0
 1999 12  1065.7
 2000 01 8465.9
 2000 02 7966.9
 2000 03 2568·9
 2000 04 9971·2
 2000 05 2368·3
 2000 06 9568.0
 2000 07 3668·8
 2000 08 6665.6
 2000 09 1366.1
 2000 10 2964·0
 2000 11 5059.5
 2000 12 7066·3
 2001 01  4164·5
 2001 02  9963.8
 2001 03  2066.3
 2001 04  9266·6
 2001 05  2068·3
 2001 06  4966·2
 2001 07  1865·7
 2001 08  3864·2
 2001 09  8865·9
 2001 10  4863.8
 2001 11  4758.1
 2001 12  3959·0
 2002 01 859.0
 2002 02 9158.4
 2002 03 3163·9
 2002 04 5362.7
 2002 05 6963·8
 2002 06 9763·9
 2002 07 2164·4
 2002 08 6263·3
 2002 09 8266.0
 2002 10 966·2
 2002 11 9261.6
 2002 12 7164·2
 2003 01  8663·5
 2003 02  9862·6
 2003 03  4463·5
 2003 04  1364·2
 2003 05  4359.3
 2003 06  5761.7
 2003 07  462.3
 2003 08  4364·9
 2003 09  4368·7
 2003 10  570.0
 2003 11  2165·9
 2003 12  4569·1
 2004 01 9668·6
 2004 02 8663·4
 2004 03 7166.9
 2004 04 2468.1
 2004 05 4264.7
 2004 06 7061.0
 2004 07 5365·2
 2004 08 1167·2
 2004 09 4369·0
 2004 10 5165·2
 2004 11 9563.6
 2004 12 6564·9
 2005 01  8764.8
 2005 02  4864.9
 2005 03  4568.2
 2005 04  6668.8
 2005 05  8771.9
 2005 06  468.2
 2005 07  8064.7
 2005 08  2066.9
 2005 09  8163·5
 2005 10  9066.4
 2005 11  9966·2
 2005 12  6164.8
 2006 01 3268.0
 2006 02 9969.2
 2006 03 2870·1
 2006 04 4371·4
 2006 05 2870.1
 2006 06 5168·7
 2006 07 1864·0
 2006 08 5064·1
 2006 09 8164.7
 2006 10 8967·8
 2006 11 4465.8
 2006 12 8762·6
 2007 01  2963·5
 2007 02  8262·9
 2007 03  667·7
 2007 04  8668.6
 2007 05  3668·2
 2007 06  2667·9
 2007 07  2969·1
 2007 08  369·0
 2007 09  8967.6
 2007 10  3868.4
 2007 11  6569·1
 2007 12  2268·1
 2008 01 167.9
 2008 02 6466.8
 2008 03 8868·5
 2008 04 4770·0
 2008 05 1068.7
 2008 06 7266·8
 2008 07 9969.1
 2008 08 1166.2
 2008 09 7967·5
 2008 10 5669.9
 2008 11 2367.8
 2008 12 7067·8
 2009 01  9666·8
 2009 02  3667·9
 2009 03  1164·5
 2009 04  668·0
 2009 05  7464.3
 2009 06  5561·0
 2009 07  3861.7
 2009 08  2658.5
 2009 09  5060·6
 2009 10  8462·6
 2009 11  463·2
 2009 12  6265·9
 2010 01 8763.6
 2010 02 1564·8
 2010 03 3564·2
 2010 04 6962.7
 2010 05 7461.9
 2010 06 6860·2
 2010 07 8161.7
 2010 08 2961·2
 2010 09 2360·1
 2010 10 8858.6
 2010 11 1760.8
 2010 12 5060·8
 2011 01  7362·6
 2011 02  4362.1
 2011 03  4563.3
 2011 04  6365.2
 2011 05  8562·1
 2011 06  2761·2
 2011 07  8961·6
 2011 08  2461·9
 2011 09  4862·9
 2011 10  6162·8
 2011 11  9963.1
 2011 12  1563·3
 2012 01 7561·9
 2012 02 8763.6
 2012 03 5262·4
 2012 04 4363.5
 2012 05 464·5
 2012 06 7463·0
 2012 07 4763.9
 2012 08 4063.2
 2012 09 9764.8
 2012 10 1863.5
 2012 11 1062.1
 2012 12 6165.0
 2013 01  4263·9
 2013 02  3865·8
 2013 03  9263·7
 2013 04  8964·2
 2013 05  5368·2
 2013 06  7665.3
 2013 07  6765.3
 2013 08  3064·2
 2013 09  6863·8
 2013 10  364.0
 2013 11  3665.2
 2013 12  1766·2
 2014 01 4864·5
 2014 02 1367·4
 2014 03 2566.7
 2014 04 567·4


 2014 05 8369.2
 2014 06 2566·4
 2014 07 8368.6
 2014 08 7670.5
 2014 09 8469.3
 2014 10 8269·7
 2014 11 8771.5
 2014 12 3771.5
 2015 01  9070·9
 2015 02  5567·8
 2015 03  3768·0
 2015 04  2070.2
 2015 05  6471·5
 2015 06  3671·8
 2015 07  5772.2
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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: 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

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