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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 5761·0
 1994 12 5860·2
 1995 01  8956.3
 1995 02  2356·1
 1995 03  5556.6
 1995 04  8155.0
 1995 05  355·9
 1995 06  5057·9
 1995 07  3259.1
 1995 08  1660.1
 1995 09  3158.7
 1995 10  8857·7
 1995 11  3858.2
 1995 12  4457.9
 1996 01 8557·4
 1996 02 8159·7
 1996 03 4960.4
 1996 04 7061·4
 1996 05 261·0
 1996 06 9962·8
 1996 07 6461.6
 1996 08 2862.7
 1996 09 4763.4
 1996 10 3663.9
 1996 11 1059.4
 1996 12 7363.9
 1997 01  765.2
 1997 02  1063.5
 1997 03  3766·3
 1997 04  8764·4
 1997 05  9562·8
 1997 06  6662·1
 1997 07  2162·3
 1997 08  7764.5
 1997 09  4963·7
 1997 10  7364.1
 1997 11  6063·6
 1997 12  7463.0
 1998 01 3164·5
 1998 02 2564.6
 1998 03 8268·0
 1998 04 3666.0
 1998 05 3067.5
 1998 06 4167.6
 1998 07 3665.2
 1998 08 4363.0
 1998 09 5867·5
 1998 10 6668·0
 1998 11 9867.1
 1998 12 368.3
 1999 01  5367.6
 1999 02  6865·7
 1999 03  6868·3
 1999 04  4766·2
 1999 05  7968·1
 1999 06  4367·2
 1999 07  7164.3
 1999 08  3163.8
 1999 09  2364·1
 1999 10  862.0
 1999 11  5963·0
 1999 12  3865.7
 2000 01 9865.9
 2000 02 866.9
 2000 03 568·9
 2000 04 7371.2
 2000 05 4168.3
 2000 06 1268·0
 2000 07 1268·8
 2000 08 7065.6
 2000 09 1766.1
 2000 10 1464·0
 2000 11 359.5
 2000 12 8366.3
 2001 01  1264.5
 2001 02  3463.8
 2001 03  3066·3
 2001 04  9566·6
 2001 05  3968·3
 2001 06  1566·2
 2001 07  6865·7
 2001 08  1364.2
 2001 09  3865.9
 2001 10  2763.8
 2001 11  1758.1
 2001 12  6859·0
 2002 01 6959.0
 2002 02 6458.4
 2002 03 363.9
 2002 04 1662·7
 2002 05 2263.8
 2002 06 4563.9
 2002 07 7564·4
 2002 08 4063·3
 2002 09 866.0
 2002 10 1466.2
 2002 11 1161.6
 2002 12 4764.2
 2003 01  6763·5
 2003 02  4062·6
 2003 03  963.5
 2003 04  6664.2
 2003 05  6159.3
 2003 06  1861·7
 2003 07  9562.3
 2003 08  5764.9
 2003 09  7768·7
 2003 10  6670.0
 2003 11  2065.9
 2003 12  9969·1
 2004 01 2968·6
 2004 02 2963.4
 2004 03 5866·9
 2004 04 068.1
 2004 05 5564.7
 2004 06 7561·0
 2004 07 1265.2
 2004 08 9167.2
 2004 09 1769.0
 2004 10 065.2
 2004 11 563.6
 2004 12 2964·9
 2005 01  464·8
 2005 02  2264.9
 2005 03  8868.2
 2005 04  9568.8
 2005 05  2771·9
 2005 06  8568·2
 2005 07  3764·7
 2005 08  9766·9
 2005 09  2663·5
 2005 10  5866.4
 2005 11  5166·2
 2005 12  6564.8
 2006 01 6368.0
 2006 02 3669.2
 2006 03 5770·1
 2006 04 5771·4
 2006 05 2670.1
 2006 06 3768·7
 2006 07 564.0
 2006 08 5464·1
 2006 09 2764·7
 2006 10 767·8
 2006 11 7065·8
 2006 12 6362·6
 2007 01  663·5
 2007 02  1362·9
 2007 03  5267.7
 2007 04  1668.6
 2007 05  2368.2
 2007 06  5067.9
 2007 07  7869.1
 2007 08  6869·0
 2007 09  6967.6
 2007 10  3868.4
 2007 11  9669.1
 2007 12  268.1
 2008 01 5467·9
 2008 02 2066.8
 2008 03 8368·5
 2008 04 2470·0
 2008 05 1868.7
 2008 06 6566·8
 2008 07 4069·1
 2008 08 6666.2
 2008 09 2367.5
 2008 10 6969·9
 2008 11 9067·8
 2008 12 8567·8
 2009 01  5766.8
 2009 02  4867.9
 2009 03  8664·5
 2009 04  6268.0
 2009 05  3364·3
 2009 06  4961·0
 2009 07  261·7
 2009 08  458·5
 2009 09  8960.6
 2009 10  4062.6
 2009 11  3863.2
 2009 12  4265.9
 2010 01 8863.6
 2010 02 1564·8
 2010 03 2164·2
 2010 04 3462·7
 2010 05 1761.9
 2010 06 9460.2
 2010 07 061.7
 2010 08 6061.2
 2010 09 9060.1
 2010 10 2058·6
 2010 11 5160·8
 2010 12 2860.8
 2011 01  4462.6
 2011 02  6262·1
 2011 03  7463.3
 2011 04  6965.2
 2011 05  4262.1
 2011 06  1661·2
 2011 07  9461·6
 2011 08  4061.9
 2011 09  7262·9
 2011 10  9962·8
 2011 11  6363.1
 2011 12  2263·3
 2012 01 4861·9
 2012 02 5663.6
 2012 03 5562·4
 2012 04 2263.5
 2012 05 664.5
 2012 06 5763.0
 2012 07 7063.9
 2012 08 7163·2
 2012 09 1164.8
 2012 10 9563·5
 2012 11 3562.1
 2012 12 2765.0
 2013 01  4963·9
 2013 02  8965.8
 2013 03  063·7
 2013 04  7164·2
 2013 05  3368.2
 2013 06  8465·3
 2013 07  3965.3
 2013 08  964.2
 2013 09  263.8
 2013 10  4964.0
 2013 11  5465.2
 2013 12  7466·2
 2014 01 1964.5
 2014 02 7767·4
 2014 03 6966.7


 2014 04 2167·4
 2014 05 7169.2
 2014 06 8966·4
 2014 07 3568.6
 2014 08 3370.5
 2014 09 7069·3
 2014 10 2869·7
 2014 11 2871.5
 2014 12 1671·5
 2015 01  5670.9
 2015 02  6367.8
 2015 03  4868·0
 2015 04  270·2
 2015 05  9171.5
 2015 06  8871·8
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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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