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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 6461.0
 1994 12 9860·2
 1995 01  356.3
 1995 02  156·1
 1995 03  3856·6
 1995 04  6055·0
 1995 05  1855·9
 1995 06  9157·9
 1995 07  4059·1
 1995 08  8360·1
 1995 09  9658·7
 1995 10  4357·7
 1995 11  2258·2
 1995 12  4957.9
 1996 01 5157.4
 1996 02 9959·7
 1996 03 5960.4
 1996 04 6461·4
 1996 05 1961.0
 1996 06 3162.8
 1996 07 5061·6
 1996 08 5962.7
 1996 09 6563.4
 1996 10 3063.9
 1996 11 2259·4
 1996 12 9363·9
 1997 01  7665·2
 1997 02  1863.5
 1997 03  2566·3
 1997 04  4564·4
 1997 05  6562.8
 1997 06  3762·1
 1997 07  3462.3
 1997 08  2464·5
 1997 09  6963·7
 1997 10  5764·1
 1997 11  5063.6
 1997 12  5963·0
 1998 01 5264·5
 1998 02 7364.6
 1998 03 9768·0
 1998 04 966.0
 1998 05 167.5
 1998 06 267·6
 1998 07 2765·2
 1998 08 5563.0
 1998 09 3067.5
 1998 10 9068.0
 1998 11 1467·1
 1998 12 368·3
 1999 01  7767.6
 1999 02  665.7
 1999 03  6068.3
 1999 04  8566·2
 1999 05  368·1
 1999 06  4367.2
 1999 07  8964·3
 1999 08  5763.8
 1999 09  9864·1
 1999 10  2262·0
 1999 11  5363·0
 1999 12  265·7
 2000 01 7365·9
 2000 02 8566.9
 2000 03 2568·9
 2000 04 2671·2
 2000 05 6868·3
 2000 06 268.0
 2000 07 768.8
 2000 08 6165.6
 2000 09 4466·1
 2000 10 6864.0
 2000 11 2459·5
 2000 12 6266.3
 2001 01  9064·5
 2001 02  163.8
 2001 03  2766.3
 2001 04  1366·6
 2001 05  1868·3
 2001 06  4666.2
 2001 07  9165.7
 2001 08  1964·2
 2001 09  6765·9
 2001 10  7163.8
 2001 11  1658.1
 2001 12  1259·0
 2002 01 9959.0
 2002 02 7158·4
 2002 03 2763.9
 2002 04 4962·7
 2002 05 363.8
 2002 06 6563.9
 2002 07 7664.4
 2002 08 1163.3
 2002 09 9066.0
 2002 10 9866·2
 2002 11 3761.6
 2002 12 664.2
 2003 01  063·5
 2003 02  3762.6
 2003 03  1063·5
 2003 04  6464·2
 2003 05  9459·3
 2003 06  7861·7
 2003 07  2262·3
 2003 08  4264·9
 2003 09  6168.7
 2003 10  3970.0
 2003 11  2365.9
 2003 12  2369·1
 2004 01 1468.6
 2004 02 6663.4
 2004 03 8866·9
 2004 04 1268.1
 2004 05 9164·7
 2004 06 2561.0
 2004 07 1765·2
 2004 08 4167·2
 2004 09 5469.0
 2004 10 1365.2
 2004 11 3563·6
 2004 12 6764.9
 2005 01  9164·8
 2005 02  4864·9
 2005 03  9468·2
 2005 04  7268·8
 2005 05  1571·9
 2005 06  7568·2
 2005 07  6964.7
 2005 08  6266.9
 2005 09  6563.5
 2005 10  6166·4
 2005 11  5966·2
 2005 12  6964·8
 2006 01 368.0
 2006 02 269.2
 2006 03 9170·1
 2006 04 4971·4
 2006 05 1670.1
 2006 06 1768·7
 2006 07 1564·0
 2006 08 8564.1
 2006 09 1964.7
 2006 10 5067·8
 2006 11 565·8
 2006 12 8262.6
 2007 01  4863·5
 2007 02  6962.9
 2007 03  6367.7
 2007 04  7268.6
 2007 05  6668·2
 2007 06  7067·9
 2007 07  1469·1
 2007 08  1369·0
 2007 09  6267.6
 2007 10  7168·4
 2007 11  969.1
 2007 12  8568·1
 2008 01 4967.9
 2008 02 1666·8
 2008 03 2268·5
 2008 04 9670.0
 2008 05 6368·7
 2008 06 7566·8
 2008 07 5469.1
 2008 08 7666.2
 2008 09 6967.5
 2008 10 4169.9
 2008 11 3167.8
 2008 12 8367·8
 2009 01  5466·8
 2009 02  3467.9
 2009 03  264.5
 2009 04  9868·0
 2009 05  3164·3
 2009 06  9961·0
 2009 07  4461.7
 2009 08  2958.5
 2009 09  3860.6
 2009 10  362.6
 2009 11  5663.2
 2009 12  565.9
 2010 01 3763.6
 2010 02 4164·8
 2010 03 6464·2
 2010 04 8562·7
 2010 05 1761.9
 2010 06 3360.2
 2010 07 1961·7
 2010 08 5061.2
 2010 09 9060·1
 2010 10 2258.6
 2010 11 9660.8
 2010 12 660.8
 2011 01  9562.6
 2011 02  7862·1
 2011 03  9463·3
 2011 04  8565·2
 2011 05  9462.1
 2011 06  9561·2
 2011 07  4161·6
 2011 08  4461·9
 2011 09  7562·9
 2011 10  9162·8
 2011 11  8563.1
 2011 12  6463.3
 2012 01 5261.9
 2012 02 1263·6
 2012 03 362·4
 2012 04 5263.5
 2012 05 6164·5
 2012 06 2663.0
 2012 07 9463·9
 2012 08 4063.2
 2012 09 6664·8
 2012 10 2763·5
 2012 11 8562.1
 2012 12 8565·0
 2013 01  5563·9
 2013 02  3465·8
 2013 03  2563·7
 2013 04  6764·2
 2013 05  4068.2


 2013 06  9365·3
 2013 07  9065·3
 2013 08  9364.2
 2013 09  6063.8
 2013 10  7164.0
 2013 11  8065.2
 2013 12  9666.2
 2014 01 7764.5
 2014 02 6267.4
 2014 03 2266·7
 2014 04 3267.4
 2014 05 8069.2
 2014 06 8766.4
 2014 07 6468.6
 2014 08 8270.5
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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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