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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 1061·0
 1994 12 2460·2
 1995 01  8056.3
 1995 02  8756·1
 1995 03  7956·6
 1995 04  9055.0
 1995 05  5855·9
 1995 06  5157.9
 1995 07  1459·1
 1995 08  5560.1
 1995 09  3858.7
 1995 10  1357.7
 1995 11  6658·2
 1995 12  057.9
 1996 01 3157.4
 1996 02 1759.7
 1996 03 1160·4
 1996 04 3261·4
 1996 05 7661·0
 1996 06 3462.8
 1996 07 4761·6
 1996 08 8362.7
 1996 09 3663.4
 1996 10 5763·9
 1996 11 259.4
 1996 12 863·9
 1997 01  9865.2
 1997 02  563·5
 1997 03  2566·3
 1997 04  9064.4
 1997 05  7662·8
 1997 06  2362.1
 1997 07  9162·3
 1997 08  3564·5
 1997 09  663·7
 1997 10  7964·1
 1997 11  263.6
 1997 12  7663.0
 1998 01 5364·5
 1998 02 6864·6
 1998 03 8268·0
 1998 04 6766·0
 1998 05 467·5
 1998 06 867·6
 1998 07 8265.2
 1998 08 9263.0
 1998 09 7267.5
 1998 10 4468.0
 1998 11 7767.1
 1998 12 5768.3
 1999 01  9567·6
 1999 02  4665·7
 1999 03  6868·3
 1999 04  9466.2
 1999 05  3568.1
 1999 06  667·2
 1999 07  8064·3
 1999 08  5963·8
 1999 09  8164.1
 1999 10  4562.0
 1999 11  6363.0
 1999 12  3365.7
 2000 01 4565.9
 2000 02 766·9
 2000 03 9368.9
 2000 04 2471·2
 2000 05 6668.3
 2000 06 6068.0
 2000 07 7068·8
 2000 08 6365·6
 2000 09 666·1
 2000 10 9964.0
 2000 11 2059.5
 2000 12 666·3
 2001 01  5364·5
 2001 02  4363·8
 2001 03  9366.3
 2001 04  3666.6
 2001 05  2168.3
 2001 06  3666.2
 2001 07  6465.7
 2001 08  5964.2
 2001 09  4665·9
 2001 10  4763.8
 2001 11  3458·1
 2001 12  759.0
 2002 01 9259·0
 2002 02 7058.4
 2002 03 2863.9
 2002 04 3662.7
 2002 05 4763·8
 2002 06 2563·9
 2002 07 9764.4
 2002 08 2863.3
 2002 09 2366·0
 2002 10 5566.2
 2002 11 1661·6
 2002 12 8964.2
 2003 01  5963.5
 2003 02  3162·6
 2003 03  8463·5
 2003 04  5264.2
 2003 05  1759·3
 2003 06  4561.7
 2003 07  2962·3
 2003 08  7264.9
 2003 09  8668.7
 2003 10  1770.0
 2003 11  065.9
 2003 12  3269·1
 2004 01 7868·6
 2004 02 9163·4
 2004 03 7266·9
 2004 04 3868·1
 2004 05 3164·7
 2004 06 3761·0
 2004 07 4665·2
 2004 08 2267.2
 2004 09 769.0
 2004 10 4865.2
 2004 11 4863.6
 2004 12 4064·9
 2005 01  9664.8
 2005 02  4464·9
 2005 03  2768.2
 2005 04  7568.8
 2005 05  971.9
 2005 06  6868.2
 2005 07  5964·7
 2005 08  3266.9
 2005 09  8563.5
 2005 10  9166·4
 2005 11  4466·2
 2005 12  4364.8
 2006 01 8768.0
 2006 02 569.2
 2006 03 970.1
 2006 04 6571.4
 2006 05 270·1
 2006 06 3168.7
 2006 07 264·0
 2006 08 8064.1
 2006 09 4364·7
 2006 10 1267·8
 2006 11 165.8
 2006 12 9462·6
 2007 01  4863.5
 2007 02  1762·9
 2007 03  467.7
 2007 04  3968·6
 2007 05  8168·2
 2007 06  4167.9
 2007 07  3869·1
 2007 08  7269·0
 2007 09  2867.6
 2007 10  268.4
 2007 11  5269·1
 2007 12  7468·1
 2008 01 467·9
 2008 02 4666·8
 2008 03 2368·5
 2008 04 5170·0
 2008 05 4568·7
 2008 06 4066.8
 2008 07 5069·1
 2008 08 3666·2
 2008 09 1467.5
 2008 10 8069·9
 2008 11 5967·8
 2008 12 8567.8
 2009 01  166.8
 2009 02  8467.9
 2009 03  164·5
 2009 04  8068·0
 2009 05  1664·3
 2009 06  9661.0
 2009 07  5061.7
 2009 08  2758.5
 2009 09  9960·6
 2009 10  8662.6
 2009 11  763·2
 2009 12  5865·9
 2010 01 1263·6
 2010 02 4864·8
 2010 03 9864·2
 2010 04 3062.7
 2010 05 4461.9
 2010 06 060·2
 2010 07 7361·7
 2010 08 2461.2
 2010 09 660·1
 2010 10 8858·6
 2010 11 760.8
 2010 12 4760·8
 2011 01  3762.6
 2011 02  7962·1
 2011 03  163.3
 2011 04  3165.2
 2011 05  062·1
 2011 06  6961.2
 2011 07  8061.6
 2011 08  3261.9
 2011 09  8362·9
 2011 10  7762.8
 2011 11  9563.1
 2011 12  3263.3
 2012 01 9861·9
 2012 02 4563·6
 2012 03 2062·4
 2012 04 3763·5
 2012 05 8364·5
 2012 06 4563·0
 2012 07 5763.9
 2012 08 7963·2
 2012 09 264.8
 2012 10 6963.5
 2012 11 3062·1
 2012 12 1565.0
 2013 01  4363·9
 2013 02  3865.8
 2013 03  9063·7
 2013 04  2764·2
 2013 05  1768.2
 2013 06  9465·3
 2013 07  1365.3
 2013 08  2164·2
 2013 09  6363·8
 2013 10  864.0
 2013 11  9865·2
 2013 12  2866.2
 2014 01 4464.5
 2014 02 7367.4
 2014 03 7266.7
 2014 04 667.4
 2014 05 4869.2
 2014 06 966.4
 2014 07 8468·6
 2014 08 3570.5
 2014 09 8869·3
 2014 10 5969·7
 2014 11 1171·5
 2014 12 2471.5
 2015 01  170·9
 2015 02  9367·8
 2015 03  5168·0
 2015 04  270.2
 2015 05  5071·5
 2015 06  571.8
 2015 07  3272·2
 2015 08  2870.6
 2015 09  2467·3
 2015 10  1570·1
 2015 11  369.6
 2015 12  8268.3
 2016 01 3668.8
 2016 02 6568·5
 2016 03 3967.0


 2016 04 7169.1
 2016 05 2267·9
 2016 06 2669·5
 2016 07 4167.0
 2016 08 2767·0
 2016 09 4668·0
 2016 10 9170·2
 2016 11 3470.6
 2016 12 671.8
 2017 01  9769·9
 2017 02  8070.8
 2017 03  7068·7
 2017 04  9168.5
 2017 05  8669·0
 2017 06  3770·5
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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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