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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 11 761.0
 1994 12 5360·2
 1995 01  3956·3
 1995 02  8756·1
 1995 03  4156.6
 1995 04  5155.0
 1995 05  6555.9
 1995 06  6357.9
 1995 07  559·1
 1995 08  1060·1
 1995 09  5458·7
 1995 10  057.7
 1995 11  4858.2
 1995 12  1157·9
 1996 01 1957.4
 1996 02 4259.7
 1996 03 4560.4
 1996 04 6261·4
 1996 05 9961.0
 1996 06 5962.8
 1996 07 9861·6
 1996 08 9462·7
 1996 09 5663.4
 1996 10 4563.9
 1996 11 3159·4
 1996 12 6363·9
 1997 01  7765·2
 1997 02  1863.5
 1997 03  9466·3
 1997 04  5264.4
 1997 05  7762·8
 1997 06  2462·1
 1997 07  6462·3
 1997 08  6664·5
 1997 09  9263·7
 1997 10  3064·1
 1997 11  4163·6
 1997 12  3863·0
 1998 01 8664.5
 1998 02 3164.6
 1998 03 4968.0
 1998 04 2366.0
 1998 05 4667·5
 1998 06 4767·6
 1998 07 4065·2
 1998 08 563.0
 1998 09 8667.5
 1998 10 2168.0
 1998 11 8867·1
 1998 12 8968·3
 1999 01  4467.6
 1999 02  2365.7
 1999 03  9568.3
 1999 04  766.2
 1999 05  8168·1
 1999 06  4667.2
 1999 07  8564.3
 1999 08  1563·8
 1999 09  8664.1
 1999 10  1062.0
 1999 11  963.0
 1999 12  9665·7
 2000 01 7365·9
 2000 02 5966·9
 2000 03 4368.9
 2000 04 5671.2
 2000 05 7868.3
 2000 06 6368·0
 2000 07 8668.8
 2000 08 2665·6
 2000 09 6666.1
 2000 10 1464·0
 2000 11 6459.5
 2000 12 6466·3
 2001 01  2264.5
 2001 02  3363·8
 2001 03  2866·3
 2001 04  5066·6
 2001 05  6268·3
 2001 06  6466·2
 2001 07  5265·7
 2001 08  9264.2
 2001 09  2165·9
 2001 10  7563·8
 2001 11  3858.1
 2001 12  2159.0
 2002 01 6559·0
 2002 02 6158·4
 2002 03 1063.9
 2002 04 9462·7
 2002 05 7963.8
 2002 06 4163·9
 2002 07 2064·4
 2002 08 9363·3
 2002 09 7766·0
 2002 10 5966.2
 2002 11 4261·6
 2002 12 2364·2
 2003 01  9863.5
 2003 02  8562·6
 2003 03  7663.5
 2003 04  1764.2
 2003 05  359·3
 2003 06  1261·7
 2003 07  4962·3
 2003 08  3164.9
 2003 09  8168·7
 2003 10  5970.0
 2003 11  1165.9
 2003 12  4869.1
 2004 01 4568·6
 2004 02 7163.4
 2004 03 3766·9
 2004 04 7368.1
 2004 05 3364·7
 2004 06 1761.0
 2004 07 2665.2
 2004 08 3867.2
 2004 09 669.0
 2004 10 9165.2
 2004 11 663·6
 2004 12 064.9
 2005 01  5564.8
 2005 02  1264·9
 2005 03  2668.2
 2005 04  4168.8
 2005 05  9071·9
 2005 06  2468·2
 2005 07  6264.7
 2005 08  6766.9
 2005 09  5163.5
 2005 10  9666·4
 2005 11  1366.2
 2005 12  1064.8
 2006 01 9968·0
 2006 02 2469·2
 2006 03 670.1
 2006 04 2671·4
 2006 05 2470·1
 2006 06 2468.7
 2006 07 9064·0
 2006 08 9764.1
 2006 09 3764.7
 2006 10 4367.8
 2006 11 4265.8
 2006 12 3062.6
 2007 01  7763·5
 2007 02  4862·9
 2007 03  6167.7
 2007 04  5768.6
 2007 05  768.2
 2007 06  3567.9
 2007 07  7369·1
 2007 08  3369.0
 2007 09  1467·6
 2007 10  2268.4
 2007 11  2869·1
 2007 12  4168·1
 2008 01 1167.9
 2008 02 5366.8
 2008 03 268.5
 2008 04 8870.0
 2008 05 3768·7
 2008 06 9866.8
 2008 07 9569.1
 2008 08 466.2
 2008 09 5367.5
 2008 10 5069·9
 2008 11 3367.8
 2008 12 4767.8
 2009 01  4966.8
 2009 02  2967·9
 2009 03  6564·5
 2009 04  9968·0
 2009 05  3764.3
 2009 06  7961.0
 2009 07  6861·7
 2009 08  6558.5
 2009 09  5460·6
 2009 10  6962.6
 2009 11  4163·2
 2009 12  7765·9
 2010 01 6563·6
 2010 02 9464.8
 2010 03 1064·2
 2010 04 9362·7
 2010 05 5661.9
 2010 06 7160.2
 2010 07 2661·7
 2010 08 9461·2
 2010 09 4060.1
 2010 10 4658.6
 2010 11 6360·8
 2010 12 8660.8
 2011 01  5662.6
 2011 02  8862.1
 2011 03  2363.3
 2011 04  165.2
 2011 05  6662.1
 2011 06  9161.2
 2011 07  3061·6
 2011 08  9661·9
 2011 09  5862·9
 2011 10  7362·8
 2011 11  3563.1
 2011 12  5263.3
 2012 01 4561·9
 2012 02 8063·6
 2012 03 1462·4
 2012 04 7663.5
 2012 05 6564.5
 2012 06 8063·0
 2012 07 6663.9
 2012 08 063·2
 2012 09 8164·8
 2012 10 6763·5
 2012 11 1862·1
 2012 12 8065.0
 2013 01  8163.9
 2013 02  6065·8
 2013 03  1963·7
 2013 04  9864·2
 2013 05  7768.2
 2013 06  465.3
 2013 07  4565·3
 2013 08  6164·2
 2013 09  863.8
 2013 10  6864·0
 2013 11  9665·2
 2013 12  9966.2
 2014 01 3664.5
 2014 02 4667.4
 2014 03 9966·7
 2014 04 7167·4
 2014 05 5069.2
 2014 06 5766.4
 2014 07 268·6
 2014 08 5770.5
 2014 09 6169.3
 2014 10 4569.7
 2014 11 8171·5
 2014 12 6471·5
 2015 01  970.9
 2015 02  7967.8
 2015 03  3868·0
 2015 04  2470·2
 2015 05  5671.5


 2015 06  5471.8
 2015 07  9772·2
 2015 08  9470·6
 2015 09  8967.3
 2015 10  8970·1
 2015 11  869·6
 2015 12  5468·3
 2016 01 2368.8
 2016 02 2768·5
 2016 03 4867·0
 2016 04 1269·1
 2016 05 9467·9
 2016 06 3869·5
 2016 07 1667.0
 2016 08 067.0
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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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