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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 8061·0
 1994 12 4860.2
 1995 01  2656·3
 1995 02  9756.1
 1995 03  7056.6
 1995 04  5555·0
 1995 05  6455.9
 1995 06  3857·9
 1995 07  259.1
 1995 08  3560·1
 1995 09  7758·7
 1995 10  5357·7
 1995 11  2658·2
 1995 12  7157.9
 1996 01 7957.4
 1996 02 8659·7
 1996 03 1660.4
 1996 04 6861.4
 1996 05 961.0
 1996 06 562·8
 1996 07 7461.6
 1996 08 5862.7
 1996 09 2763·4
 1996 10 663.9
 1996 11 2559.4
 1996 12 9963·9
 1997 01  2365.2
 1997 02  763.5
 1997 03  2066.3
 1997 04  7164·4
 1997 05  1062.8
 1997 06  5262.1
 1997 07  3362.3
 1997 08  8264.5
 1997 09  2463.7
 1997 10  1164.1
 1997 11  6563·6
 1997 12  6263.0
 1998 01 3064.5
 1998 02 7764·6
 1998 03 4168.0
 1998 04 6966·0
 1998 05 1567.5
 1998 06 7067·6
 1998 07 1365.2
 1998 08 8463·0
 1998 09 9267·5
 1998 10 3568.0
 1998 11 5567·1
 1998 12 1568.3
 1999 01  9967.6
 1999 02  3965·7
 1999 03  6768·3
 1999 04  9166.2
 1999 05  9868·1
 1999 06  7767.2
 1999 07  7564·3
 1999 08  7163·8
 1999 09  7864.1
 1999 10  6962·0
 1999 11  3063.0
 1999 12  3665.7
 2000 01 5165·9
 2000 02 5866.9
 2000 03 768.9
 2000 04 9271.2
 2000 05 5668.3
 2000 06 1468.0
 2000 07 568.8
 2000 08 7165·6
 2000 09 5566·1
 2000 10 3164.0
 2000 11 5259·5
 2000 12 3066·3
 2001 01  3664.5
 2001 02  2763.8
 2001 03  9666.3
 2001 04  5066·6
 2001 05  1368·3
 2001 06  4866.2
 2001 07  1465·7
 2001 08  3864.2
 2001 09  2265.9
 2001 10  6163·8
 2001 11  558·1
 2001 12  2659.0
 2002 01 2759.0
 2002 02 6358.4
 2002 03 9663·9
 2002 04 7062·7
 2002 05 1663·8
 2002 06 7063.9
 2002 07 3664·4
 2002 08 5363·3
 2002 09 166.0
 2002 10 2866.2
 2002 11 161.6
 2002 12 7964.2
 2003 01  2163.5
 2003 02  662·6
 2003 03  9163.5
 2003 04  8264·2
 2003 05  3859·3
 2003 06  9861·7
 2003 07  3262.3
 2003 08  1864.9
 2003 09  4168.7
 2003 10  2370·0
 2003 11  7565·9
 2003 12  6869.1
 2004 01 4168.6
 2004 02 2563·4
 2004 03 9366·9
 2004 04 3968.1
 2004 05 7864·7
 2004 06 7461.0
 2004 07 8965·2
 2004 08 6367·2
 2004 09 1469.0
 2004 10 6365·2
 2004 11 8763.6
 2004 12 9764.9
 2005 01  3764.8
 2005 02  1164·9
 2005 03  3768.2
 2005 04  2168·8
 2005 05  5971·9
 2005 06  6368·2
 2005 07  1664.7
 2005 08  4466·9
 2005 09  1963.5
 2005 10  8866·4
 2005 11  2366.2
 2005 12  9564.8
 2006 01 7968.0
 2006 02 8169.2
 2006 03 8470·1
 2006 04 3371.4
 2006 05 2870·1
 2006 06 5968.7
 2006 07 4964.0
 2006 08 3864.1
 2006 09 7864.7
 2006 10 6767.8
 2006 11 9465.8
 2006 12 1762·6
 2007 01  6863.5
 2007 02  7562.9
 2007 03  1967·7
 2007 04  268·6
 2007 05  5968·2
 2007 06  7767.9
 2007 07  4969.1
 2007 08  5069·0
 2007 09  4167.6
 2007 10  9168.4
 2007 11  3569·1
 2007 12  4268.1
 2008 01 2567.9
 2008 02 6366·8
 2008 03 5268.5
 2008 04 8570·0
 2008 05 5068·7
 2008 06 6066·8
 2008 07 169.1
 2008 08 1066.2
 2008 09 7967.5
 2008 10 7769.9
 2008 11 667·8
 2008 12 7467·8
 2009 01  9966·8
 2009 02  3467·9
 2009 03  1964.5
 2009 04  5968·0
 2009 05  2464.3
 2009 06  7461.0
 2009 07  1561.7
 2009 08  7258·5
 2009 09  9160·6
 2009 10  6762·6
 2009 11  9463.2
 2009 12  4365·9
 2010 01 6363·6
 2010 02 664.8
 2010 03 8164.2
 2010 04 3062·7
 2010 05 2861.9
 2010 06 1160·2
 2010 07 2861·7
 2010 08 1561.2
 2010 09 9960·1
 2010 10 2658·6
 2010 11 860·8
 2010 12 360.8
 2011 01  1562.6
 2011 02  2162·1
 2011 03  2463.3
 2011 04  2765.2
 2011 05  3762·1
 2011 06  8861·2
 2011 07  9961.6
 2011 08  4361.9
 2011 09  5362·9
 2011 10  4862.8
 2011 11  8563·1
 2011 12  3363.3
 2012 01 7761·9
 2012 02 4563·6
 2012 03 5762·4
 2012 04 363.5
 2012 05 4764·5
 2012 06 4763·0
 2012 07 1563·9
 2012 08 8663.2
 2012 09 2564.8
 2012 10 4963.5
 2012 11 8562.1
 2012 12 3765·0
 2013 01  9963·9
 2013 02  7065.8
 2013 03  1663·7
 2013 04  3964·2
 2013 05  8268·2
 2013 06  5565.3
 2013 07  8665.3
 2013 08  9864.2
 2013 09  1263.8
 2013 10  7164·0
 2013 11  9365·2
 2013 12  4666·2
 2014 01 5264·5
 2014 02 1467.4
 2014 03 6366.7


 2014 04 3967·4
 2014 05 9069·2
 2014 06 266·4
 2014 07 4768.6
 2014 08 5870·5
 2014 09 3969·3
 2014 10 8069·7
 2014 11 1971.5
 2014 12 1271·5
 2015 01  3670.9
 2015 02  1767.8
 2015 03  8268.0
 2015 04  3170.2
 2015 05  4571.5
 2015 06  771·8
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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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