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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 6961.0
 1994 12 2960.2
 1995 01  3256.3
 1995 02  8256.1
 1995 03  556·6
 1995 04  3055.0
 1995 05  8755.9
 1995 06  3957.9
 1995 07  2659·1
 1995 08  4860.1
 1995 09  6258·7
 1995 10  1457.7
 1995 11  8358.2
 1995 12  6557·9
 1996 01 7057.4
 1996 02 5059·7
 1996 03 5060·4
 1996 04 8761.4
 1996 05 4761·0
 1996 06 1662·8
 1996 07 2961.6
 1996 08 4762·7
 1996 09 5863.4
 1996 10 863.9
 1996 11 4459·4
 1996 12 063·9
 1997 01  9165.2
 1997 02  4363·5
 1997 03  4766.3
 1997 04  2964·4
 1997 05  5762·8
 1997 06  6762.1
 1997 07  1262·3
 1997 08  4064.5
 1997 09  9663.7
 1997 10  4864·1
 1997 11  3963.6
 1997 12  6463.0
 1998 01 6964.5
 1998 02 8064.6
 1998 03 5568.0
 1998 04 5966·0
 1998 05 6567.5
 1998 06 8367·6
 1998 07 1065·2
 1998 08 663·0
 1998 09 9767.5
 1998 10 168.0
 1998 11 7867·1
 1998 12 1168.3
 1999 01  267.6
 1999 02  265.7
 1999 03  6168.3
 1999 04  766·2
 1999 05  4468·1
 1999 06  8167.2
 1999 07  8464·3
 1999 08  5063·8
 1999 09  1064.1
 1999 10  5862·0
 1999 11  9763·0
 1999 12  2165.7
 2000 01 1465.9
 2000 02 7566·9
 2000 03 7568.9
 2000 04 2771·2
 2000 05 9268·3
 2000 06 368·0
 2000 07 2068·8
 2000 08 065·6
 2000 09 966.1
 2000 10 3664.0
 2000 11 5559.5
 2000 12 9766·3
 2001 01  5164·5
 2001 02  9263·8
 2001 03  3366·3
 2001 04  9966·6
 2001 05  3268·3
 2001 06  1666·2
 2001 07  2765.7
 2001 08  1364·2
 2001 09  9065·9
 2001 10  7763.8
 2001 11  3958.1
 2001 12  6959.0
 2002 01 8859.0
 2002 02 6958.4
 2002 03 9463·9
 2002 04 2662.7
 2002 05 1363·8
 2002 06 1163.9
 2002 07 4364·4
 2002 08 6563.3
 2002 09 7866.0
 2002 10 4866.2
 2002 11 5961·6
 2002 12 9264·2
 2003 01  2263·5
 2003 02  4862.6
 2003 03  4563·5
 2003 04  3964·2
 2003 05  759·3
 2003 06  661·7
 2003 07  2662.3
 2003 08  6264.9
 2003 09  2068.7
 2003 10  4170·0
 2003 11  5165·9
 2003 12  4469·1
 2004 01 7668·6
 2004 02 9663·4
 2004 03 9766·9
 2004 04 9168.1
 2004 05 1264.7
 2004 06 4261·0
 2004 07 6365.2
 2004 08 3467·2
 2004 09 9069·0
 2004 10 7265·2
 2004 11 7563·6
 2004 12 3064.9
 2005 01  9964.8
 2005 02  564·9
 2005 03  8468·2
 2005 04  6168.8
 2005 05  5171.9
 2005 06  8568.2
 2005 07  6464.7
 2005 08  3466·9
 2005 09  8563.5
 2005 10  8366·4
 2005 11  1766·2
 2005 12  7964·8
 2006 01 6368·0
 2006 02 9169.2
 2006 03 6770·1
 2006 04 5471·4
 2006 05 7370.1
 2006 06 2968·7
 2006 07 6664.0
 2006 08 4164.1
 2006 09 2864·7
 2006 10 4167·8
 2006 11 8765.8
 2006 12 4662·6
 2007 01  6663·5
 2007 02  9662.9
 2007 03  3367·7
 2007 04  068.6
 2007 05  5068·2
 2007 06  8867.9
 2007 07  2769·1
 2007 08  6169·0
 2007 09  6867·6
 2007 10  3768.4
 2007 11  2169.1
 2007 12  968.1
 2008 01 3267.9
 2008 02 8766.8
 2008 03 9068·5
 2008 04 5270·0
 2008 05 8168·7
 2008 06 666.8
 2008 07 3469·1
 2008 08 2166.2
 2008 09 7767·5
 2008 10 9069.9
 2008 11 7967·8
 2008 12 7467.8
 2009 01  866·8
 2009 02  5667·9
 2009 03  7664.5
 2009 04  9068·0
 2009 05  8864.3
 2009 06  4961.0
 2009 07  9861·7
 2009 08  7858.5
 2009 09  5460·6
 2009 10  3962.6
 2009 11  4863.2
 2009 12  6865.9
 2010 01 6863.6
 2010 02 2064.8
 2010 03 4964.2
 2010 04 1862.7
 2010 05 2061·9
 2010 06 960·2
 2010 07 5461·7
 2010 08 961.2
 2010 09 2160.1
 2010 10 5358.6
 2010 11 3660·8
 2010 12 4860·8
 2011 01  1062·6
 2011 02  2062·1
 2011 03  9763.3
 2011 04  6665.2
 2011 05  4962·1
 2011 06  361·2
 2011 07  6261.6
 2011 08  2061.9
 2011 09  2762·9
 2011 10  2362·8
 2011 11  8163·1
 2011 12  9163.3
 2012 01 5661.9
 2012 02 2363·6
 2012 03 3062·4
 2012 04 8763.5
 2012 05 7564·5
 2012 06 7263·0
 2012 07 963·9
 2012 08 3963·2
 2012 09 4564·8
 2012 10 6563.5
 2012 11 4362·1
 2012 12 365·0
 2013 01  5563.9
 2013 02  2165·8
 2013 03  8263.7
 2013 04  6164·2
 2013 05  1968.2
 2013 06  8465·3
 2013 07  465.3
 2013 08  2064.2
 2013 09  7363.8
 2013 10  2264.0
 2013 11  665·2


 2013 12  1266.2
 2014 01 8064.5
 2014 02 3167.4
 2014 03 1666.7
 2014 04 9367·4
 2014 05 2969.2
 2014 06 2966·4
 2014 07 8368.6
 2014 08 4470·5
 2014 09 3369·3
 2014 10 6169.7
 2014 11 8271.5
 2014 12 7371·5
 2015 01  2970.9
 2015 02  9567·8
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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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