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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 8761·0
 1994 12 6160.2
 1995 01  8656·3
 1995 02  5856.1
 1995 03  9856.6
 1995 04  2955.0
 1995 05  7555·9
 1995 06  9157·9
 1995 07  1359.1
 1995 08  3360·1
 1995 09  358.7
 1995 10  6157·7
 1995 11  8258.2
 1995 12  5457·9
 1996 01 8257.4
 1996 02 1159·7
 1996 03 8160·4
 1996 04 061·4
 1996 05 5061.0
 1996 06 1162.8
 1996 07 961·6
 1996 08 262·7
 1996 09 7163.4
 1996 10 5463.9
 1996 11 9359·4
 1996 12 1663.9
 1997 01  3165·2
 1997 02  5963.5
 1997 03  8366·3
 1997 04  2464·4
 1997 05  4462.8
 1997 06  7262·1
 1997 07  5462.3
 1997 08  3364·5
 1997 09  4863·7
 1997 10  6164·1
 1997 11  763·6
 1997 12  7563·0
 1998 01 664.5
 1998 02 1964.6
 1998 03 6668·0
 1998 04 666·0
 1998 05 567·5
 1998 06 6767.6
 1998 07 8365·2
 1998 08 763·0
 1998 09 5967·5
 1998 10 4968.0
 1998 11 3367.1
 1998 12 8668.3
 1999 01  467.6
 1999 02  3365.7
 1999 03  1668·3
 1999 04  7466.2
 1999 05  668·1
 1999 06  1467·2
 1999 07  5764.3
 1999 08  2763·8
 1999 09  5064.1
 1999 10  1062.0
 1999 11  763.0
 1999 12  2865.7
 2000 01 5065.9
 2000 02 6766.9
 2000 03 4268.9
 2000 04 8371·2
 2000 05 4468.3
 2000 06 5368.0
 2000 07 6168.8
 2000 08 2365.6
 2000 09 9566.1
 2000 10 6264.0
 2000 11 9159·5
 2000 12 666·3
 2001 01  9064.5
 2001 02  1363·8
 2001 03  8066·3
 2001 04  1266·6
 2001 05  4368·3
 2001 06  5166.2
 2001 07  665·7
 2001 08  4964.2
 2001 09  9265·9
 2001 10  4563.8
 2001 11  6858·1
 2001 12  4859.0
 2002 01 9959.0
 2002 02 8858·4
 2002 03 9263.9
 2002 04 6662.7
 2002 05 5263.8
 2002 06 163.9
 2002 07 2764.4
 2002 08 8463.3
 2002 09 6466.0
 2002 10 2666·2
 2002 11 5161.6
 2002 12 964·2
 2003 01  7363.5
 2003 02  3462·6
 2003 03  6163.5
 2003 04  7364·2
 2003 05  4259·3
 2003 06  1961.7
 2003 07  8662.3
 2003 08  3364.9
 2003 09  5968·7
 2003 10  9870·0
 2003 11  7365·9
 2003 12  6969·1
 2004 01 3668.6
 2004 02 1863·4
 2004 03 066.9
 2004 04 8968.1
 2004 05 1264·7
 2004 06 4661·0
 2004 07 6665·2
 2004 08 2467·2
 2004 09 5069.0
 2004 10 7765·2
 2004 11 9763·6
 2004 12 3164.9
 2005 01  3764.8
 2005 02  3164·9
 2005 03  4368.2
 2005 04  9268·8
 2005 05  8671.9
 2005 06  5068.2
 2005 07  8064.7
 2005 08  1366·9
 2005 09  3563.5
 2005 10  566.4
 2005 11  766.2
 2005 12  2564.8
 2006 01 4768·0
 2006 02 9069·2
 2006 03 5170·1
 2006 04 8671·4
 2006 05 1070·1
 2006 06 2368.7
 2006 07 6264·0
 2006 08 7864.1
 2006 09 3764·7
 2006 10 4967.8
 2006 11 1565·8
 2006 12 662.6
 2007 01  6663·5
 2007 02  3762·9
 2007 03  1067.7
 2007 04  268.6
 2007 05  5968.2
 2007 06  8167.9
 2007 07  7369·1
 2007 08  2469.0
 2007 09  567·6
 2007 10  068·4
 2007 11  5469·1
 2007 12  5268.1
 2008 01 1667·9
 2008 02 3966.8
 2008 03 3068.5
 2008 04 9370·0
 2008 05 3068·7
 2008 06 6666.8
 2008 07 9969.1
 2008 08 7966·2
 2008 09 1167.5
 2008 10 7669·9
 2008 11 8767.8
 2008 12 6767·8
 2009 01  4566.8
 2009 02  8767.9
 2009 03  4664.5
 2009 04  3868.0
 2009 05  4764·3
 2009 06  4561·0
 2009 07  5061·7
 2009 08  058.5
 2009 09  5360·6
 2009 10  1762·6
 2009 11  9963.2
 2009 12  8265.9
 2010 01 2763·6
 2010 02 9964·8
 2010 03 2064·2
 2010 04 4362.7
 2010 05 5661.9
 2010 06 960.2
 2010 07 6161·7
 2010 08 6361.2
 2010 09 5460·1
 2010 10 9258·6
 2010 11 060·8
 2010 12 5060.8
 2011 01  5962·6
 2011 02  1662·1
 2011 03  3663.3
 2011 04  3565·2
 2011 05  3262.1
 2011 06  7661·2
 2011 07  9461.6
 2011 08  7561·9
 2011 09  6362·9
 2011 10  9162·8
 2011 11  2663·1
 2011 12  5163·3
 2012 01 6461.9
 2012 02 563.6
 2012 03 662.4
 2012 04 7063·5
 2012 05 7364.5
 2012 06 8763·0
 2012 07 3463·9
 2012 08 6463·2
 2012 09 5364·8
 2012 10 3163·5
 2012 11 3762·1
 2012 12 8965.0
 2013 01  9163.9
 2013 02  5765.8
 2013 03  6463·7
 2013 04  2764·2
 2013 05  168·2
 2013 06  965.3
 2013 07  9165·3
 2013 08  8464.2
 2013 09  2163.8
 2013 10  5564·0
 2013 11  1965·2
 2013 12  9366·2
 2014 01 1264.5
 2014 02 9067.4
 2014 03 7266·7
 2014 04 1067.4
 2014 05 6569·2
 2014 06 3466·4
 2014 07 168.6
 2014 08 1670·5
 2014 09 9069·3
 2014 10 2969·7


 2014 11 8271.5
 2014 12 1871·5
 2015 01  2670·9
 2015 02  4667·8
 2015 03  1568·0
 2015 04  4870.2
 2015 05  3771.5
 2015 06  7871·8
 2015 07  2572·2
 2015 08  6270.6
 2015 09  967.3
 2015 10  4570·1
 2015 11  6369·6
 2015 12  4368.3
 2016 01 5668.8
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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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