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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 2261.0
 1994 12 7760.2
 1995 01  7256·3
 1995 02  6456·1
 1995 03  3856·6
 1995 04  7855.0
 1995 05  7155·9
 1995 06  3657.9
 1995 07  6959.1
 1995 08  2660.1
 1995 09  2258·7
 1995 10  5657.7
 1995 11  6758·2
 1995 12  557·9
 1996 01 3657·4
 1996 02 7059·7
 1996 03 760.4
 1996 04 2061.4
 1996 05 5361·0
 1996 06 4562.8
 1996 07 9061.6
 1996 08 462·7
 1996 09 3363·4
 1996 10 7763.9
 1996 11 4159·4
 1996 12 1363.9
 1997 01  6665·2
 1997 02  8463.5
 1997 03  1066.3
 1997 04  2964.4
 1997 05  6562.8
 1997 06  1062·1
 1997 07  7262.3
 1997 08  5864.5
 1997 09  6763.7
 1997 10  2464.1
 1997 11  2963·6
 1997 12  3163·0
 1998 01 3564.5
 1998 02 2264.6
 1998 03 568.0
 1998 04 766.0
 1998 05 5767·5
 1998 06 2167·6
 1998 07 5165.2
 1998 08 6663.0
 1998 09 4667.5
 1998 10 6668.0
 1998 11 4367·1
 1998 12 1468.3
 1999 01  3967·6
 1999 02  2665.7
 1999 03  7968·3
 1999 04  8466·2
 1999 05  168.1
 1999 06  9567·2
 1999 07  8764·3
 1999 08  3263.8
 1999 09  1864.1
 1999 10  9262·0
 1999 11  1763.0
 1999 12  4065.7
 2000 01 365.9
 2000 02 6366.9
 2000 03 4368·9
 2000 04 1571·2
 2000 05 9568·3
 2000 06 7468.0
 2000 07 6668.8
 2000 08 8765·6
 2000 09 5766·1
 2000 10 2264.0
 2000 11 1259·5
 2000 12 1566·3
 2001 01  7564.5
 2001 02  2463·8
 2001 03  3166·3
 2001 04  7866·6
 2001 05  6368·3
 2001 06  2666.2
 2001 07  9865·7
 2001 08  8564·2
 2001 09  6065.9
 2001 10  9563.8
 2001 11  1558.1
 2001 12  6659.0
 2002 01 2759.0
 2002 02 2758·4
 2002 03 563·9
 2002 04 7962.7
 2002 05 5363.8
 2002 06 4163·9
 2002 07 1964.4
 2002 08 463·3
 2002 09 5066·0
 2002 10 8066·2
 2002 11 3461·6
 2002 12 4964·2
 2003 01  5763·5
 2003 02  1462·6
 2003 03  4963·5
 2003 04  4564.2
 2003 05  3659.3
 2003 06  3661·7
 2003 07  9062·3
 2003 08  4964.9
 2003 09  7668.7
 2003 10  6770·0
 2003 11  765.9
 2003 12  4369.1
 2004 01 8968.6
 2004 02 5063.4
 2004 03 7566·9
 2004 04 3368·1
 2004 05 1364.7
 2004 06 5461.0
 2004 07 9565·2
 2004 08 5067·2
 2004 09 1169·0
 2004 10 7465·2
 2004 11 9363·6
 2004 12 5264·9
 2005 01  7064·8
 2005 02  2864.9
 2005 03  1868.2
 2005 04  2068.8
 2005 05  571·9
 2005 06  6268·2
 2005 07  4664.7
 2005 08  6066.9
 2005 09  5263.5
 2005 10  4366·4
 2005 11  7866.2
 2005 12  564·8
 2006 01 7568.0
 2006 02 6569.2
 2006 03 3870.1
 2006 04 1171.4
 2006 05 6170.1
 2006 06 5068.7
 2006 07 7864.0
 2006 08 5964.1
 2006 09 2364·7
 2006 10 3967·8
 2006 11 7265.8
 2006 12 5762.6
 2007 01  9963·5
 2007 02  362.9
 2007 03  2267·7
 2007 04  3668·6
 2007 05  5368.2
 2007 06  3567.9
 2007 07  5269·1
 2007 08  5269·0
 2007 09  7267.6
 2007 10  5668.4
 2007 11  1269·1
 2007 12  8768.1
 2008 01 6867.9
 2008 02 866·8
 2008 03 7968·5
 2008 04 4870.0
 2008 05 8068.7
 2008 06 6166.8
 2008 07 5269·1
 2008 08 6766·2
 2008 09 7167·5
 2008 10 969.9
 2008 11 5767.8
 2008 12 067.8
 2009 01  2866·8
 2009 02  7267.9
 2009 03  4564·5
 2009 04  2868.0
 2009 05  6564.3
 2009 06  9361·0
 2009 07  9061·7
 2009 08  5958·5
 2009 09  1960·6
 2009 10  4162.6
 2009 11  9463·2
 2009 12  2465.9
 2010 01 5363·6
 2010 02 1164.8
 2010 03 8164.2
 2010 04 7962.7
 2010 05 5661·9
 2010 06 2260.2
 2010 07 261.7
 2010 08 761·2
 2010 09 3960.1
 2010 10 1858.6
 2010 11 3260·8
 2010 12 1360.8
 2011 01  4162·6
 2011 02  6962.1
 2011 03  7263·3
 2011 04  3165·2
 2011 05  2562.1
 2011 06  6761.2
 2011 07  4761·6
 2011 08  1561·9
 2011 09  7962.9
 2011 10  3362·8
 2011 11  863·1
 2011 12  4963.3
 2012 01 1561·9
 2012 02 1063·6
 2012 03 2962·4
 2012 04 3763.5
 2012 05 7264.5
 2012 06 6963·0
 2012 07 1263·9
 2012 08 1363·2
 2012 09 1264·8
 2012 10 163.5
 2012 11 8162·1
 2012 12 3365.0
 2013 01  2363.9
 2013 02  2865.8
 2013 03  8863·7
 2013 04  7864.2
 2013 05  1968·2
 2013 06  9465·3
 2013 07  665.3
 2013 08  5564.2
 2013 09  3663.8
 2013 10  6664.0
 2013 11  3865·2
 2013 12  9666.2
 2014 01 3864·5


 2014 02 4067·4
 2014 03 866·7
 2014 04 5867.4
 2014 05 1369.2
 2014 06 3466.4
 2014 07 6668·6
 2014 08 2170·5
 2014 09 7469.3
 2014 10 9369·7
 2014 11 8971.5
 2014 12 9371·5
 2015 01  5870·9
 2015 02  8567·8
 2015 03  7568.0
 2015 04  570·2
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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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