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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 2761·0
 1994 12 4160·2
 1995 01  3556.3
 1995 02  8656·1
 1995 03  9656.6
 1995 04  6855.0
 1995 05  1055.9
 1995 06  5757.9
 1995 07  2459.1
 1995 08  8860.1
 1995 09  8058.7
 1995 10  2057·7
 1995 11  6358.2
 1995 12  8157.9
 1996 01 5757.4
 1996 02 1959.7
 1996 03 8860.4
 1996 04 5461.4
 1996 05 8061·0
 1996 06 2562.8
 1996 07 061.6
 1996 08 4062·7
 1996 09 1163.4
 1996 10 3063·9
 1996 11 2259·4
 1996 12 9563·9
 1997 01  3865·2
 1997 02  5463.5
 1997 03  766·3
 1997 04  064·4
 1997 05  7462.8
 1997 06  4262·1
 1997 07  3062.3
 1997 08  6264·5
 1997 09  5863.7
 1997 10  6164.1
 1997 11  9063.6
 1997 12  1263.0
 1998 01 5164.5
 1998 02 764.6
 1998 03 1368.0
 1998 04 866·0
 1998 05 4267.5
 1998 06 9967.6
 1998 07 5065·2
 1998 08 3163.0
 1998 09 4467·5
 1998 10 8068·0
 1998 11 7667·1
 1998 12 8868.3
 1999 01  9467.6
 1999 02  2065·7
 1999 03  9168·3
 1999 04  1066.2
 1999 05  5668.1
 1999 06  1367.2
 1999 07  2164.3
 1999 08  5463·8
 1999 09  1764.1
 1999 10  7862.0
 1999 11  1763·0
 1999 12  165.7
 2000 01 9065·9
 2000 02 5966.9
 2000 03 5268.9
 2000 04 5971.2
 2000 05 1468·3
 2000 06 2668.0
 2000 07 2968·8
 2000 08 5865·6
 2000 09 5066·1
 2000 10 7264.0
 2000 11 7259·5
 2000 12 5666.3
 2001 01  8764.5
 2001 02  1763.8
 2001 03  3266.3
 2001 04  3466.6
 2001 05  3968·3
 2001 06  566.2
 2001 07  8465·7
 2001 08  9964.2
 2001 09  4265·9
 2001 10  463·8
 2001 11  2958.1
 2001 12  8259.0
 2002 01 5959.0
 2002 02 1058.4
 2002 03 9163·9
 2002 04 4062·7
 2002 05 7963·8
 2002 06 4163·9
 2002 07 2264·4
 2002 08 5563.3
 2002 09 1466.0
 2002 10 4166·2
 2002 11 9661·6
 2002 12 3364.2
 2003 01  363.5
 2003 02  8062·6
 2003 03  1563·5
 2003 04  664·2
 2003 05  759.3
 2003 06  5261·7
 2003 07  262.3
 2003 08  3164·9
 2003 09  1668.7
 2003 10  7570.0
 2003 11  1065·9
 2003 12  8869.1
 2004 01 4268.6
 2004 02 9463.4
 2004 03 1366.9
 2004 04 8668.1
 2004 05 2264·7
 2004 06 7861.0
 2004 07 1265·2
 2004 08 5567·2
 2004 09 2069.0
 2004 10 2265·2
 2004 11 3163.6
 2004 12 5364.9
 2005 01  2464·8
 2005 02  4464.9
 2005 03  2368.2
 2005 04  6068·8
 2005 05  4671·9
 2005 06  8868.2
 2005 07  6064·7
 2005 08  8466.9
 2005 09  2563.5
 2005 10  2466.4
 2005 11  4666.2
 2005 12  5664.8
 2006 01 2368·0
 2006 02 4669.2
 2006 03 370.1
 2006 04 3271.4
 2006 05 2870·1
 2006 06 7268.7
 2006 07 8464·0
 2006 08 9564.1
 2006 09 5364.7
 2006 10 4867.8
 2006 11 6365·8
 2006 12 5162·6
 2007 01  3663·5
 2007 02  4262·9
 2007 03  4167·7
 2007 04  3168.6
 2007 05  4068·2
 2007 06  4867.9
 2007 07  4369.1
 2007 08  9369.0
 2007 09  5367.6
 2007 10  8668·4
 2007 11  1969.1
 2007 12  1868.1
 2008 01 8767.9
 2008 02 9966.8
 2008 03 4568·5
 2008 04 1270.0
 2008 05 8068.7
 2008 06 5766·8
 2008 07 2269.1
 2008 08 766·2
 2008 09 9767·5
 2008 10 5469.9
 2008 11 7567·8
 2008 12 6067·8
 2009 01  2366.8
 2009 02  967.9
 2009 03  5364.5
 2009 04  5368·0
 2009 05  7264·3
 2009 06  6661·0
 2009 07  3361.7
 2009 08  9258.5
 2009 09  8360.6
 2009 10  9562·6
 2009 11  1563·2
 2009 12  965.9
 2010 01 1863·6
 2010 02 8964.8
 2010 03 2464·2
 2010 04 6062·7
 2010 05 6461·9
 2010 06 6760.2
 2010 07 1161·7
 2010 08 2761.2
 2010 09 3560·1
 2010 10 7558·6
 2010 11 5160.8
 2010 12 1760.8
 2011 01  6962.6
 2011 02  8062.1
 2011 03  4563·3
 2011 04  6165·2
 2011 05  2862.1
 2011 06  7761·2
 2011 07  1761·6
 2011 08  1661·9
 2011 09  162·9
 2011 10  8562.8
 2011 11  1863·1
 2011 12  6463.3
 2012 01 061·9
 2012 02 4963.6
 2012 03 2462·4
 2012 04 1063.5
 2012 05 6364·5
 2012 06 3763.0
 2012 07 3563·9
 2012 08 8863.2
 2012 09 5464.8
 2012 10 4463.5
 2012 11 7762·1
 2012 12 5465.0
 2013 01  5963·9
 2013 02  8865·8
 2013 03  9963.7


 2013 04  8864·2
 2013 05  9268.2
 2013 06  1565.3
 2013 07  7865.3
 2013 08  9964·2
 2013 09  9163·8
 2013 10  9264·0
 2013 11  1365·2
 2013 12  1666·2
 2014 01 1964.5
 2014 02 1467.4
 2014 03 3066.7
 2014 04 9867.4
 2014 05 6369.2
 2014 06 166.4
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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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