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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 8361.0
 1994 12 9960·2
 1995 01  6956.3
 1995 02  7656.1
 1995 03  2856.6
 1995 04  3655.0
 1995 05  1155·9
 1995 06  9757.9
 1995 07  1559·1
 1995 08  4660·1
 1995 09  2958.7
 1995 10  9157·7
 1995 11  9358·2
 1995 12  1157.9
 1996 01 3657·4
 1996 02 359.7
 1996 03 3860·4
 1996 04 3861.4
 1996 05 7061·0
 1996 06 362.8
 1996 07 5161.6
 1996 08 5862·7
 1996 09 9463.4
 1996 10 8363·9
 1996 11 5759·4
 1996 12 2863.9
 1997 01  9465.2
 1997 02  6363.5
 1997 03  666.3
 1997 04  3064·4
 1997 05  8562·8
 1997 06  8862.1
 1997 07  7362·3
 1997 08  7064·5
 1997 09  563·7
 1997 10  2764·1
 1997 11  6063·6
 1997 12  8063·0
 1998 01 1564·5
 1998 02 7364.6
 1998 03 9168·0
 1998 04 1766.0
 1998 05 567·5
 1998 06 4667·6
 1998 07 1865.2
 1998 08 6263·0
 1998 09 8667·5
 1998 10 9068·0
 1998 11 1467.1
 1998 12 2268·3
 1999 01  9867·6
 1999 02  7365.7
 1999 03  8168·3
 1999 04  2866·2
 1999 05  268.1
 1999 06  9267.2
 1999 07  4464.3
 1999 08  3863·8
 1999 09  8664.1
 1999 10  6362·0
 1999 11  5363·0
 1999 12  3265.7
 2000 01 6465·9
 2000 02 3266·9
 2000 03 8568·9
 2000 04 1871.2
 2000 05 7468.3
 2000 06 6768.0
 2000 07 3868·8
 2000 08 2765·6
 2000 09 7866·1
 2000 10 6464.0
 2000 11 3959.5
 2000 12 1566.3
 2001 01  6464·5
 2001 02  4063.8
 2001 03  3866.3
 2001 04  6566.6
 2001 05  4568·3
 2001 06  4066.2
 2001 07  1065.7
 2001 08  8364.2
 2001 09  5865.9
 2001 10  3463.8
 2001 11  5758·1
 2001 12  159·0
 2002 01 6859·0
 2002 02 1558.4
 2002 03 263·9
 2002 04 7562·7
 2002 05 6263·8
 2002 06 263·9
 2002 07 9764·4
 2002 08 8763·3
 2002 09 5266.0
 2002 10 4066.2
 2002 11 1761.6
 2002 12 4364.2
 2003 01  7663.5
 2003 02  9762.6
 2003 03  6263.5
 2003 04  7564·2
 2003 05  9859·3
 2003 06  6961·7
 2003 07  5762.3
 2003 08  4164·9
 2003 09  668.7
 2003 10  7470.0
 2003 11  5465.9
 2003 12  2169.1
 2004 01 1168.6
 2004 02 5563·4
 2004 03 2866·9
 2004 04 2268.1
 2004 05 5264·7
 2004 06 8461.0
 2004 07 7865.2
 2004 08 7567·2
 2004 09 9369.0
 2004 10 5265.2
 2004 11 3163.6
 2004 12 3964.9
 2005 01  2064.8
 2005 02  8064·9
 2005 03  3668·2
 2005 04  9368.8
 2005 05  4771·9
 2005 06  1268.2
 2005 07  6964·7
 2005 08  4566·9
 2005 09  1263.5
 2005 10  1766.4
 2005 11  3166.2
 2005 12  2664.8
 2006 01 7768.0
 2006 02 8969.2
 2006 03 4670·1
 2006 04 9371·4
 2006 05 3170·1
 2006 06 4768·7
 2006 07 6664·0
 2006 08 2864.1
 2006 09 8564.7
 2006 10 3567·8
 2006 11 6665.8
 2006 12 3762·6
 2007 01  8063.5
 2007 02  2362.9
 2007 03  4567.7
 2007 04  5268·6
 2007 05  7668·2
 2007 06  467.9
 2007 07  3069.1
 2007 08  2969.0
 2007 09  6267.6
 2007 10  9868·4
 2007 11  7169.1
 2007 12  5168·1
 2008 01 5167·9
 2008 02 4966.8
 2008 03 4268.5
 2008 04 2370·0
 2008 05 8168.7
 2008 06 2666·8
 2008 07 4669·1
 2008 08 7866.2
 2008 09 1467.5
 2008 10 2369.9
 2008 11 667.8
 2008 12 7267.8
 2009 01  3966·8
 2009 02  5967.9
 2009 03  7464·5
 2009 04  8768.0
 2009 05  6864.3
 2009 06  7961.0
 2009 07  2461.7
 2009 08  2958.5
 2009 09  4060·6
 2009 10  5162·6
 2009 11  5863·2
 2009 12  3065·9
 2010 01 1763·6
 2010 02 7064·8
 2010 03 064·2
 2010 04 4762.7
 2010 05 8761·9
 2010 06 5560.2
 2010 07 161.7
 2010 08 6161·2
 2010 09 6360.1
 2010 10 5058·6
 2010 11 3660·8
 2010 12 7960·8
 2011 01  8362·6
 2011 02  2462·1
 2011 03  663·3
 2011 04  3365.2
 2011 05  962·1
 2011 06  7261.2
 2011 07  3761.6
 2011 08  7861.9
 2011 09  3062·9
 2011 10  1162·8
 2011 11  7763.1
 2011 12  9863.3
 2012 01 5961.9
 2012 02 8863·6
 2012 03 462·4
 2012 04 9863·5
 2012 05 3364·5
 2012 06 7063·0
 2012 07 1663.9
 2012 08 1163·2
 2012 09 1664·8
 2012 10 5163·5
 2012 11 4162·1
 2012 12 9265·0
 2013 01  9563.9
 2013 02  5265·8
 2013 03  2763.7
 2013 04  2364·2
 2013 05  8368.2
 2013 06  1665.3
 2013 07  5165·3
 2013 08  1264·2
 2013 09  1863·8
 2013 10  1264·0
 2013 11  1365.2
 2013 12  8966·2
 2014 01 6364.5
 2014 02 3567·4
 2014 03 3866·7
 2014 04 1267·4
 2014 05 569.2
 2014 06 366.4
 2014 07 7668·6
 2014 08 6170·5
 2014 09 5869.3
 2014 10 6169·7
 2014 11 471·5
 2014 12 4471.5
 2015 01  6070·9
 2015 02  7767·8
 2015 03  2168.0
 2015 04  9370·2
 2015 05  7471·5
 2015 06  4771.8
 2015 07  5272·2
 2015 08  6370.6
 2015 09  8667·3
 2015 10  8870.1
 2015 11  4969·6
 2015 12  3768.3
 2016 01 1168·8


 2016 02 4668·5
 2016 03 8767.0
 2016 04 2169·1
 2016 05 8667·9
 2016 06 8969·5
 2016 07 6567·0
 2016 08 4767·0
 2016 09 7468·0
 2016 10 1270·2
 2016 11 1070·6
 2016 12 7271.8
 2017 01  6369·9
 2017 02  3470·8
 2017 03  7168·7
 2017 04  7668.5
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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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