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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 8261.0
 1994 12 7960.2
 1995 01  9056.3
 1995 02  7556·1
 1995 03  1656·6
 1995 04  9855.0
 1995 05  955.9
 1995 06  6557.9
 1995 07  6659.1
 1995 08  6560.1
 1995 09  7858.7
 1995 10  557·7
 1995 11  8358.2
 1995 12  6357.9
 1996 01 1157·4
 1996 02 3759·7
 1996 03 4260·4
 1996 04 9761·4
 1996 05 4661.0
 1996 06 3162.8
 1996 07 4361.6
 1996 08 9962.7
 1996 09 4663.4
 1996 10 8163·9
 1996 11 1359.4
 1996 12 2763·9
 1997 01  9865·2
 1997 02  763·5
 1997 03  066.3
 1997 04  6164·4
 1997 05  1562.8
 1997 06  5262.1
 1997 07  8262·3
 1997 08  964·5
 1997 09  3563·7
 1997 10  8564·1
 1997 11  5763.6
 1997 12  263.0
 1998 01 2264.5
 1998 02 164·6
 1998 03 5268·0
 1998 04 9666.0
 1998 05 6367·5
 1998 06 1967.6
 1998 07 1765·2
 1998 08 7363.0
 1998 09 7167.5
 1998 10 8368.0
 1998 11 2767.1
 1998 12 4168.3
 1999 01  8367·6
 1999 02  6165·7
 1999 03  8268.3
 1999 04  2966·2
 1999 05  6368.1
 1999 06  4967·2
 1999 07  964·3
 1999 08  9663.8
 1999 09  9964·1
 1999 10  6662·0
 1999 11  5763.0
 1999 12  2365.7
 2000 01 365·9
 2000 02 5566·9
 2000 03 268·9
 2000 04 1671·2
 2000 05 1468.3
 2000 06 8568·0
 2000 07 4468.8
 2000 08 865·6
 2000 09 9466.1
 2000 10 5164.0
 2000 11 959·5
 2000 12 5466·3
 2001 01  3164·5
 2001 02  7263.8
 2001 03  4766·3
 2001 04  3666.6
 2001 05  3868.3
 2001 06  9366.2
 2001 07  3365.7
 2001 08  6164·2
 2001 09  5365·9
 2001 10  8163.8
 2001 11  6858.1
 2001 12  6159·0
 2002 01 3959·0
 2002 02 3258.4
 2002 03 7763.9
 2002 04 9362·7
 2002 05 8463.8
 2002 06 6463.9
 2002 07 1064.4
 2002 08 3763.3
 2002 09 066.0
 2002 10 2266.2
 2002 11 4361.6
 2002 12 164.2
 2003 01  2663·5
 2003 02  7462.6
 2003 03  7763·5
 2003 04  1664·2
 2003 05  2459.3
 2003 06  1661·7
 2003 07  3762.3
 2003 08  3864·9
 2003 09  8268.7
 2003 10  6670·0
 2003 11  7265·9
 2003 12  5169·1
 2004 01 1468.6
 2004 02 6763·4
 2004 03 5966.9
 2004 04 5968·1
 2004 05 5764·7
 2004 06 9061·0
 2004 07 9865·2
 2004 08 9567·2
 2004 09 7369.0
 2004 10 2965.2
 2004 11 1563.6
 2004 12 1664.9
 2005 01  5264·8
 2005 02  264.9
 2005 03  5868.2
 2005 04  268.8
 2005 05  571.9
 2005 06  5468·2
 2005 07  564·7
 2005 08  6266.9
 2005 09  7163·5
 2005 10  5366.4
 2005 11  5666·2
 2005 12  2564·8
 2006 01 1268·0
 2006 02 9569.2
 2006 03 3570.1
 2006 04 5071·4
 2006 05 1770·1
 2006 06 9868·7
 2006 07 9464.0
 2006 08 1764.1
 2006 09 9864.7
 2006 10 667·8
 2006 11 765.8
 2006 12 3462·6
 2007 01  9363.5
 2007 02  8962.9
 2007 03  7567·7
 2007 04  3168.6
 2007 05  6568·2
 2007 06  4067.9
 2007 07  2369·1
 2007 08  6669.0
 2007 09  367·6
 2007 10  7968·4
 2007 11  369·1
 2007 12  2068·1
 2008 01 1867·9
 2008 02 5066.8
 2008 03 8868.5
 2008 04 070·0
 2008 05 4968.7
 2008 06 2266·8
 2008 07 8069.1
 2008 08 3766.2
 2008 09 5867·5
 2008 10 8969.9
 2008 11 467.8
 2008 12 8967·8
 2009 01  3466·8
 2009 02  7067·9
 2009 03  1164.5
 2009 04  3668·0
 2009 05  9064.3
 2009 06  1061·0
 2009 07  7561.7
 2009 08  8558.5
 2009 09  6360·6
 2009 10  7762·6
 2009 11  9763.2
 2009 12  6965.9
 2010 01 1663·6
 2010 02 6664.8
 2010 03 364·2
 2010 04 4362·7
 2010 05 3761.9
 2010 06 9660.2
 2010 07 4361.7
 2010 08 9061.2
 2010 09 3960·1
 2010 10 1058.6
 2010 11 9260·8
 2010 12 1560.8
 2011 01  6062·6
 2011 02  7962.1
 2011 03  5063.3
 2011 04  5165·2
 2011 05  6362·1
 2011 06  9761.2
 2011 07  4461·6
 2011 08  5461·9
 2011 09  3562·9
 2011 10  8162·8
 2011 11  2363.1
 2011 12  663.3
 2012 01 9061.9
 2012 02 7763·6
 2012 03 6362·4
 2012 04 1463·5
 2012 05 6664·5
 2012 06 5463.0
 2012 07 6563.9
 2012 08 963.2
 2012 09 2464·8
 2012 10 663·5
 2012 11 5362.1
 2012 12 4765·0
 2013 01  5463·9
 2013 02  5265·8
 2013 03  7863·7
 2013 04  1164·2
 2013 05  6968.2
 2013 06  3665.3
 2013 07  1665·3
 2013 08  764·2
 2013 09  563.8
 2013 10  2764.0
 2013 11  6665·2
 2013 12  6766·2


 2014 01 2664·5
 2014 02 1967.4
 2014 03 5566.7
 2014 04 4767·4
 2014 05 1969.2
 2014 06 3266.4
 2014 07 3268.6
 2014 08 2970.5
 2014 09 9969.3
 2014 10 1069.7
 2014 11 7371·5
 2014 12 1971·5
 2015 01  270·9
 2015 02  2167·8
 2015 03  7868·0
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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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