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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 3861·0
 1994 12 1160·2
 1995 01  2856.3
 1995 02  5956·1
 1995 03  156·6
 1995 04  5155.0
 1995 05  855·9
 1995 06  257.9
 1995 07  4459·1
 1995 08  160.1
 1995 09  158·7
 1995 10  5657.7
 1995 11  1658·2
 1995 12  4457·9
 1996 01 2057·4
 1996 02 6559·7
 1996 03 9260.4
 1996 04 8661·4
 1996 05 461·0
 1996 06 9862.8
 1996 07 7361·6
 1996 08 5962·7
 1996 09 1463·4
 1996 10 5063·9
 1996 11 8559·4
 1996 12 2063·9
 1997 01  4065·2
 1997 02  4063·5
 1997 03  7866.3
 1997 04  5064.4
 1997 05  9362.8
 1997 06  1162·1
 1997 07  2662·3
 1997 08  5664.5
 1997 09  1263·7
 1997 10  3464.1
 1997 11  3263·6
 1997 12  6963.0
 1998 01 6064·5
 1998 02 264·6
 1998 03 1968.0
 1998 04 4666·0
 1998 05 2567.5
 1998 06 3467.6
 1998 07 3965·2
 1998 08 6963·0
 1998 09 1867.5
 1998 10 7468·0
 1998 11 6667·1
 1998 12 4468.3
 1999 01  8067·6
 1999 02  9265.7
 1999 03  268·3
 1999 04  366·2
 1999 05  7168.1
 1999 06  8267.2
 1999 07  7164.3
 1999 08  363.8
 1999 09  8064·1
 1999 10  6362.0
 1999 11  2463.0
 1999 12  2665·7
 2000 01 2165·9
 2000 02 7866.9
 2000 03 3668.9
 2000 04 7771.2
 2000 05 3068·3
 2000 06 9868.0
 2000 07 868·8
 2000 08 8965·6
 2000 09 7166·1
 2000 10 1664·0
 2000 11 6559.5
 2000 12 1866·3
 2001 01  3264.5
 2001 02  5163·8
 2001 03  5866.3
 2001 04  4666·6
 2001 05  2568·3
 2001 06  4866.2
 2001 07  6165.7
 2001 08  7964.2
 2001 09  8965·9
 2001 10  7663·8
 2001 11  7658.1
 2001 12  4959.0
 2002 01 8659·0
 2002 02 2958.4
 2002 03 2763.9
 2002 04 1462·7
 2002 05 463·8
 2002 06 2563.9
 2002 07 6664·4
 2002 08 5363·3
 2002 09 5666·0
 2002 10 1066·2
 2002 11 6661·6
 2002 12 7564·2
 2003 01  8163·5
 2003 02  5262·6
 2003 03  3063·5
 2003 04  1164.2
 2003 05  4059·3
 2003 06  4561.7
 2003 07  8262.3
 2003 08  1664.9
 2003 09  2268.7
 2003 10  970·0
 2003 11  7265.9
 2003 12  7469.1
 2004 01 4068·6
 2004 02 8763·4
 2004 03 7766·9
 2004 04 9168·1
 2004 05 3164.7
 2004 06 4961·0
 2004 07 9665·2
 2004 08 9767·2
 2004 09 5969·0
 2004 10 9065.2
 2004 11 5463·6
 2004 12 5164·9
 2005 01  1164.8
 2005 02  2764·9
 2005 03  368.2
 2005 04  3368·8
 2005 05  071.9
 2005 06  568·2
 2005 07  1764·7
 2005 08  5066·9
 2005 09  6563·5
 2005 10  9466·4
 2005 11  9866.2
 2005 12  3564·8
 2006 01 6768.0
 2006 02 8869·2
 2006 03 6970.1
 2006 04 4271.4
 2006 05 9670·1
 2006 06 568.7
 2006 07 8364.0
 2006 08 5564.1
 2006 09 6364.7
 2006 10 9067·8
 2006 11 1365·8
 2006 12 7962·6
 2007 01  763·5
 2007 02  1262·9
 2007 03  6167.7
 2007 04  4768.6
 2007 05  9068.2
 2007 06  6567·9
 2007 07  5269·1
 2007 08  1569.0
 2007 09  167.6
 2007 10  6868·4
 2007 11  3669·1
 2007 12  6568.1
 2008 01 5267·9
 2008 02 6666.8
 2008 03 8968.5
 2008 04 370·0
 2008 05 8268.7
 2008 06 2766.8
 2008 07 1169·1
 2008 08 6066.2
 2008 09 5367.5
 2008 10 4669.9
 2008 11 2867·8
 2008 12 9567.8
 2009 01  5266·8
 2009 02  4167.9
 2009 03  8964.5
 2009 04  8768·0
 2009 05  9464.3
 2009 06  5861.0
 2009 07  7061.7
 2009 08  4558·5
 2009 09  1660·6
 2009 10  6462·6
 2009 11  7363.2
 2009 12  9965.9
 2010 01 8063.6
 2010 02 5564·8
 2010 03 2164.2
 2010 04 662.7
 2010 05 7461.9
 2010 06 4960.2
 2010 07 6561.7
 2010 08 4861.2
 2010 09 1360·1
 2010 10 9058.6
 2010 11 8260.8
 2010 12 3260·8
 2011 01  3262.6
 2011 02  4962.1
 2011 03  7063.3
 2011 04  8865·2
 2011 05  9662·1
 2011 06  1861·2
 2011 07  5661·6
 2011 08  7461·9
 2011 09  9262·9
 2011 10  1762·8
 2011 11  9163·1
 2011 12  7263·3
 2012 01 3361·9
 2012 02 8963.6
 2012 03 4862.4
 2012 04 8863.5
 2012 05 5864·5
 2012 06 663·0
 2012 07 2963·9
 2012 08 5363.2
 2012 09 2764·8
 2012 10 5963·5
 2012 11 6062.1
 2012 12 2465.0
 2013 01  3163·9
 2013 02  6965·8
 2013 03  9063·7
 2013 04  8464·2


 2013 05  8168.2
 2013 06  8065.3
 2013 07  9565·3
 2013 08  3864·2
 2013 09  1663·8
 2013 10  6064·0
 2013 11  7565·2
 2013 12  1866·2
 2014 01 9864·5
 2014 02 467·4
 2014 03 5666.7
 2014 04 8167·4
 2014 05 1569·2
 2014 06 3166·4
 2014 07 8868.6
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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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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