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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 8261·0
 1994 12 4460.2
 1995 01  9556.3
 1995 02  5956.1
 1995 03  7956·6
 1995 04  455.0
 1995 05  8455.9
 1995 06  9757.9
 1995 07  559.1
 1995 08  2660.1
 1995 09  3558·7
 1995 10  9757·7
 1995 11  1158.2
 1995 12  9057·9
 1996 01 6357.4
 1996 02 259·7
 1996 03 7160·4
 1996 04 361.4
 1996 05 561.0
 1996 06 8262.8
 1996 07 8661.6
 1996 08 9762·7
 1996 09 2463.4
 1996 10 3063·9
 1996 11 8159.4
 1996 12 2963.9
 1997 01  965.2
 1997 02  6563·5
 1997 03  766·3
 1997 04  8064·4
 1997 05  7162·8
 1997 06  3362·1
 1997 07  3962.3
 1997 08  5764.5
 1997 09  4963.7
 1997 10  264.1
 1997 11  7863.6
 1997 12  9163.0
 1998 01 564·5
 1998 02 6664.6
 1998 03 4968·0
 1998 04 3966.0
 1998 05 2867·5
 1998 06 4467·6
 1998 07 365·2
 1998 08 8363.0
 1998 09 3067.5
 1998 10 8068.0
 1998 11 1467·1
 1998 12 3068.3
 1999 01  5067.6
 1999 02  4565·7
 1999 03  8368.3
 1999 04  1066·2
 1999 05  5068·1
 1999 06  3067·2
 1999 07  3564·3
 1999 08  8163.8
 1999 09  1864.1
 1999 10  5762·0
 1999 11  2263.0
 1999 12  2465.7
 2000 01 6765·9
 2000 02 6966.9
 2000 03 1868·9
 2000 04 4771·2
 2000 05 3568·3
 2000 06 3568.0
 2000 07 2368·8
 2000 08 8065.6
 2000 09 8466·1
 2000 10 4964·0
 2000 11 6459.5
 2000 12 8066·3
 2001 01  464.5
 2001 02  3063·8
 2001 03  9066·3
 2001 04  2966·6
 2001 05  668·3
 2001 06  2366·2
 2001 07  7765·7
 2001 08  3364·2
 2001 09  2865·9
 2001 10  9763·8
 2001 11  2658.1
 2001 12  2559.0
 2002 01 3459·0
 2002 02 4658·4
 2002 03 6163.9
 2002 04 6062.7
 2002 05 1063·8
 2002 06 8863.9
 2002 07 3364.4
 2002 08 2163.3
 2002 09 7166·0
 2002 10 6966.2
 2002 11 1761.6
 2002 12 1464·2
 2003 01  5463·5
 2003 02  5762·6
 2003 03  1463·5
 2003 04  7064·2
 2003 05  2259.3
 2003 06  4661·7
 2003 07  5062·3
 2003 08  4764.9
 2003 09  6368.7
 2003 10  5670.0
 2003 11  7465.9
 2003 12  2669.1
 2004 01 8968·6
 2004 02 3163.4
 2004 03 6266·9
 2004 04 1468.1
 2004 05 3964·7
 2004 06 3961.0
 2004 07 1465.2
 2004 08 4167·2
 2004 09 7569·0
 2004 10 7565·2
 2004 11 5663.6
 2004 12 6664·9
 2005 01  8664·8
 2005 02  5964.9
 2005 03  3968.2
 2005 04  6968·8
 2005 05  8471·9
 2005 06  3368·2
 2005 07  3764·7
 2005 08  5866.9
 2005 09  763·5
 2005 10  6966·4
 2005 11  5166·2
 2005 12  6364.8
 2006 01 1868.0
 2006 02 5869·2
 2006 03 670.1
 2006 04 4271·4
 2006 05 570.1
 2006 06 2168.7
 2006 07 5364·0
 2006 08 7564.1
 2006 09 8164.7
 2006 10 267.8
 2006 11 6765·8
 2006 12 7162·6
 2007 01  8363·5
 2007 02  7062·9
 2007 03  4867.7
 2007 04  6068.6
 2007 05  7568·2
 2007 06  2067.9
 2007 07  2369·1
 2007 08  9969·0
 2007 09  4567.6
 2007 10  6968·4
 2007 11  4169.1
 2007 12  7068.1
 2008 01 567·9
 2008 02 6366·8
 2008 03 7768·5
 2008 04 7970·0
 2008 05 9368.7
 2008 06 7066·8
 2008 07 3369·1
 2008 08 5866.2
 2008 09 7267·5
 2008 10 8569·9
 2008 11 3367·8
 2008 12 6367.8
 2009 01  3166.8
 2009 02  2667·9
 2009 03  2864·5
 2009 04  7768.0
 2009 05  8164·3
 2009 06  3961.0
 2009 07  9361·7
 2009 08  558.5
 2009 09  6160·6
 2009 10  9162.6
 2009 11  2863·2
 2009 12  8165.9
 2010 01 3463·6
 2010 02 7864·8
 2010 03 6064·2
 2010 04 5962.7
 2010 05 8761·9
 2010 06 1860·2
 2010 07 3861·7
 2010 08 2261.2
 2010 09 3460·1
 2010 10 5658·6
 2010 11 3860.8
 2010 12 7760·8
 2011 01  1262·6
 2011 02  6062.1
 2011 03  6163·3
 2011 04  5465·2
 2011 05  8562·1
 2011 06  2561.2
 2011 07  3061.6
 2011 08  1161·9
 2011 09  3962·9
 2011 10  7062·8
 2011 11  9863.1
 2011 12  3063.3
 2012 01 8961.9
 2012 02 3963.6
 2012 03 3962.4
 2012 04 1763.5
 2012 05 7264.5
 2012 06 263·0
 2012 07 5463.9
 2012 08 363.2
 2012 09 5064·8
 2012 10 5163.5
 2012 11 6862·1
 2012 12 4665·0
 2013 01  1263·9
 2013 02  765.8
 2013 03  3263.7
 2013 04  2664.2
 2013 05  7168·2
 2013 06  1465·3
 2013 07  2065.3
 2013 08  5164.2
 2013 09  6463·8
 2013 10  4064.0
 2013 11  3465.2
 2013 12  5366.2
 2014 01 5564.5
 2014 02 8167.4
 2014 03 9966.7
 2014 04 8767·4
 2014 05 3169·2
 2014 06 5466.4
 2014 07 6468·6
 2014 08 3570.5
 2014 09 569.3
 2014 10 569·7
 2014 11 771·5
 2014 12 571·5
 2015 01  1670.9


 2015 02  167.8
 2015 03  2668·0
 2015 04  2870.2
 2015 05  2571.5
 2015 06  3971·8
 2015 07  4772.2
 2015 08  6070.6
 2015 09  2167.3
 2015 10  3670.1
 2015 11  2169·6
 2015 12  8368.3
 2016 01 1768.8
 2016 02 3668.5
 2016 03 2367·0
 2016 04 369.1
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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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