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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 7261·0
 1994 12 1760.2
 1995 01  2456.3
 1995 02  6556.1
 1995 03  3456·6
 1995 04  3055·0
 1995 05  5355·9
 1995 06  3157.9
 1995 07  7559·1
 1995 08  5460.1
 1995 09  9458·7
 1995 10  857.7
 1995 11  4558·2
 1995 12  7057.9
 1996 01 6257.4
 1996 02 4059·7
 1996 03 2060.4
 1996 04 8661.4
 1996 05 9461.0
 1996 06 9762.8
 1996 07 061.6
 1996 08 3362·7
 1996 09 5363.4
 1996 10 7363·9
 1996 11 1059.4
 1996 12 6763.9
 1997 01  2765.2
 1997 02  8663·5
 1997 03  166·3
 1997 04  7064.4
 1997 05  2962.8
 1997 06  8162.1
 1997 07  4962.3
 1997 08  4964.5
 1997 09  9663·7
 1997 10  2764.1
 1997 11  5263.6
 1997 12  3663·0
 1998 01 9364.5
 1998 02 1864.6
 1998 03 3868.0
 1998 04 8666·0
 1998 05 567.5
 1998 06 7467·6
 1998 07 5665.2
 1998 08 8363.0
 1998 09 4867·5
 1998 10 3768.0
 1998 11 8267·1
 1998 12 3268.3
 1999 01  5767.6
 1999 02  7965.7
 1999 03  1668·3
 1999 04  6466.2
 1999 05  9768·1
 1999 06  9267·2
 1999 07  8464·3
 1999 08  3863·8
 1999 09  5564·1
 1999 10  9662.0
 1999 11  3563.0
 1999 12  3365.7
 2000 01 4465.9
 2000 02 3566.9
 2000 03 4668.9
 2000 04 5871·2
 2000 05 168.3
 2000 06 7868.0
 2000 07 1668.8
 2000 08 4365·6
 2000 09 9166.1
 2000 10 2064·0
 2000 11 7259.5
 2000 12 4666.3
 2001 01  064·5
 2001 02  7963.8
 2001 03  6366.3
 2001 04  4766·6
 2001 05  4268.3
 2001 06  9966·2
 2001 07  6565·7
 2001 08  5464·2
 2001 09  5465·9
 2001 10  5063·8
 2001 11  7858·1
 2001 12  9859·0
 2002 01 9959·0
 2002 02 2658·4
 2002 03 2863.9
 2002 04 3562·7
 2002 05 6663·8
 2002 06 4663·9
 2002 07 6464.4
 2002 08 4963.3
 2002 09 6766.0
 2002 10 5466·2
 2002 11 6461·6
 2002 12 4464·2
 2003 01  4063.5
 2003 02  1962.6
 2003 03  2663·5
 2003 04  5364·2
 2003 05  4759·3
 2003 06  3661.7
 2003 07  7662·3
 2003 08  3264·9
 2003 09  7868.7
 2003 10  2370·0
 2003 11  6565·9
 2003 12  6369.1
 2004 01 4468.6
 2004 02 2563.4
 2004 03 6866·9
 2004 04 5368.1
 2004 05 8464·7
 2004 06 1161·0
 2004 07 8565·2
 2004 08 3367.2
 2004 09 6069.0
 2004 10 7565.2
 2004 11 4263·6
 2004 12 6064.9
 2005 01  6064·8
 2005 02  3564·9
 2005 03  8968.2
 2005 04  1668·8
 2005 05  9871·9
 2005 06  3768.2
 2005 07  264.7
 2005 08  766·9
 2005 09  1163.5
 2005 10  5066.4
 2005 11  8166·2
 2005 12  6464·8
 2006 01 6268·0
 2006 02 6769.2
 2006 03 5170.1
 2006 04 4571.4
 2006 05 3970.1
 2006 06 768·7
 2006 07 6364.0
 2006 08 3164.1
 2006 09 5564·7
 2006 10 1667.8
 2006 11 9265·8
 2006 12 2962·6
 2007 01  4763·5
 2007 02  6162.9
 2007 03  3867.7
 2007 04  7168·6
 2007 05  7968.2
 2007 06  3767.9
 2007 07  2769·1
 2007 08  1269·0
 2007 09  3867.6
 2007 10  6468.4
 2007 11  1069·1
 2007 12  3568.1
 2008 01 3867·9
 2008 02 8566·8
 2008 03 6168.5
 2008 04 4670·0
 2008 05 1668·7
 2008 06 7066.8
 2008 07 8269·1
 2008 08 7766·2
 2008 09 3567·5
 2008 10 1269.9
 2008 11 9767·8
 2008 12 8567·8
 2009 01  8366·8
 2009 02  3167.9
 2009 03  5664.5
 2009 04  5168·0
 2009 05  7364.3
 2009 06  7161.0
 2009 07  3661·7
 2009 08  8258.5
 2009 09  4360·6
 2009 10  162·6
 2009 11  3763·2
 2009 12  1065.9
 2010 01 5663·6
 2010 02 1564.8
 2010 03 8364·2
 2010 04 9162·7
 2010 05 9961·9
 2010 06 3260.2
 2010 07 2761·7
 2010 08 661.2
 2010 09 8660·1
 2010 10 9758·6
 2010 11 4160·8
 2010 12 6360·8
 2011 01  5462·6
 2011 02  7962·1
 2011 03  2863.3
 2011 04  9365.2
 2011 05  6662·1
 2011 06  7161·2
 2011 07  1361·6
 2011 08  5261·9
 2011 09  1162.9
 2011 10  9462.8
 2011 11  4663.1
 2011 12  2363·3
 2012 01 061·9
 2012 02 9063·6
 2012 03 262.4
 2012 04 1363.5
 2012 05 7364.5
 2012 06 3063.0
 2012 07 8163.9
 2012 08 5163·2
 2012 09 9164·8
 2012 10 763·5
 2012 11 1062·1
 2012 12 9665·0
 2013 01  4363·9
 2013 02  4065·8
 2013 03  3963·7
 2013 04  2964·2
 2013 05  4268.2
 2013 06  7465.3
 2013 07  4265·3
 2013 08  5664.2
 2013 09  2563.8
 2013 10  7864·0
 2013 11  2165·2
 2013 12  1066.2
 2014 01 5564.5
 2014 02 4567·4
 2014 03 066.7
 2014 04 4767.4
 2014 05 2169.2
 2014 06 9666·4
 2014 07 3168·6
 2014 08 4770.5
 2014 09 3569.3
 2014 10 7469.7
 2014 11 8871·5
 2014 12 2071·5
 2015 01  3570·9
 2015 02  4867·8
 2015 03  7168·0
 2015 04  9470.2
 2015 05  8471·5
 2015 06  1371.8
 2015 07  872·2
 2015 08  2970.6
 2015 09  7067.3


 2015 10  8770·1
 2015 11  4669.6
 2015 12  468·3
 2016 01 668.8
 2016 02 1568·5
 2016 03 6367.0
 2016 04 2769.1
 2016 05 2967·9
 2016 06 6669·5
 2016 07 5967.0
 2016 08 2967.0
 2016 09 368.0
 2016 10 3470·2
 2016 11 5870.6
 2016 12 6871.8
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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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