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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 4861·0
 1994 12 6160·2
 1995 01  1056.3
 1995 02  7656·1
 1995 03  7056·6
 1995 04  055·0
 1995 05  7955.9
 1995 06  4957·9
 1995 07  3359.1
 1995 08  1160.1
 1995 09  2358.7
 1995 10  9557.7
 1995 11  8758·2
 1995 12  7857·9
 1996 01 5757.4
 1996 02 5959·7
 1996 03 960·4
 1996 04 661·4
 1996 05 1761.0
 1996 06 962.8
 1996 07 9961.6
 1996 08 2862·7
 1996 09 6763·4
 1996 10 4163.9
 1996 11 8159·4
 1996 12 063·9
 1997 01  9465·2
 1997 02  7363.5
 1997 03  766·3
 1997 04  364.4
 1997 05  1262·8
 1997 06  5062·1
 1997 07  5162·3
 1997 08  4564·5
 1997 09  5863.7
 1997 10  4064.1
 1997 11  1463·6
 1997 12  5763.0
 1998 01 9564·5
 1998 02 3764.6
 1998 03 2268.0
 1998 04 9566·0
 1998 05 1167.5
 1998 06 6267·6
 1998 07 2565·2
 1998 08 4263·0
 1998 09 1967.5
 1998 10 5768·0
 1998 11 9867·1
 1998 12 368·3
 1999 01  5767.6
 1999 02  9365.7
 1999 03  4168.3
 1999 04  1166.2
 1999 05  8868·1
 1999 06  6267·2
 1999 07  8164·3
 1999 08  2263.8
 1999 09  9964.1
 1999 10  8562.0
 1999 11  6763·0
 1999 12  1865.7
 2000 01 465·9
 2000 02 666·9
 2000 03 7568.9
 2000 04 571·2
 2000 05 4068·3
 2000 06 9368.0
 2000 07 568·8
 2000 08 1665·6
 2000 09 7066·1
 2000 10 4164.0
 2000 11 8259.5
 2000 12 666.3
 2001 01  8264·5
 2001 02  6963·8
 2001 03  5866.3
 2001 04  5766·6
 2001 05  9068·3
 2001 06  2066.2
 2001 07  765.7
 2001 08  7764·2
 2001 09  3065·9
 2001 10  6663·8
 2001 11  2958·1
 2001 12  9659·0
 2002 01 6759·0
 2002 02 9858.4
 2002 03 5163.9
 2002 04 7162·7
 2002 05 8763.8
 2002 06 3763·9
 2002 07 2364·4
 2002 08 8563.3
 2002 09 366·0
 2002 10 2666·2
 2002 11 1961·6
 2002 12 4364.2
 2003 01  5563·5
 2003 02  3562·6
 2003 03  4163·5
 2003 04  7764.2
 2003 05  359.3
 2003 06  5961.7
 2003 07  1362.3
 2003 08  4464·9
 2003 09  3768.7
 2003 10  1570·0
 2003 11  8665.9
 2003 12  2569.1
 2004 01 6968·6
 2004 02 4863.4
 2004 03 3666·9
 2004 04 2868·1
 2004 05 3764·7
 2004 06 2861.0
 2004 07 6365.2
 2004 08 8367·2
 2004 09 469.0
 2004 10 4865.2
 2004 11 9263.6
 2004 12 4864·9
 2005 01  5864.8
 2005 02  2864.9
 2005 03  7468·2
 2005 04  368·8
 2005 05  1171.9
 2005 06  1168·2
 2005 07  8464·7
 2005 08  5766·9
 2005 09  363·5
 2005 10  6766.4
 2005 11  2266.2
 2005 12  4064.8
 2006 01 9468.0
 2006 02 9169.2
 2006 03 1570.1
 2006 04 871·4
 2006 05 7470.1
 2006 06 068·7
 2006 07 1164.0
 2006 08 4564·1
 2006 09 5664.7
 2006 10 4067.8
 2006 11 8765·8
 2006 12 5562·6
 2007 01  7763·5
 2007 02  7962.9
 2007 03  4367·7
 2007 04  7268.6
 2007 05  9968.2
 2007 06  1267.9
 2007 07  469·1
 2007 08  5169·0
 2007 09  1267.6
 2007 10  5868·4
 2007 11  2269·1
 2007 12  7468·1
 2008 01 2867.9
 2008 02 6066.8
 2008 03 7068·5
 2008 04 4870.0
 2008 05 8468·7
 2008 06 8966·8
 2008 07 5069·1
 2008 08 566·2
 2008 09 4467·5
 2008 10 3869·9
 2008 11 8767.8
 2008 12 067.8
 2009 01  9566.8
 2009 02  2567·9
 2009 03  3164·5
 2009 04  1668.0
 2009 05  5164.3
 2009 06  9761·0
 2009 07  5861.7
 2009 08  6058.5
 2009 09  4960.6
 2009 10  2162·6
 2009 11  6863·2
 2009 12  6365·9
 2010 01 5363·6
 2010 02 9164·8
 2010 03 8764.2
 2010 04 8162.7
 2010 05 4961.9
 2010 06 2860.2
 2010 07 6561.7
 2010 08 9761·2
 2010 09 5260.1
 2010 10 7458.6
 2010 11 7660.8
 2010 12 1660·8
 2011 01  9862·6
 2011 02  062.1
 2011 03  2363·3
 2011 04  7165.2
 2011 05  5162·1
 2011 06  9961·2
 2011 07  3061·6
 2011 08  1961.9
 2011 09  9962.9
 2011 10  9062·8
 2011 11  4763·1
 2011 12  4063.3
 2012 01 5561·9
 2012 02 1863·6
 2012 03 5062.4
 2012 04 4263·5
 2012 05 5564·5
 2012 06 5163·0
 2012 07 3963·9
 2012 08 5663·2
 2012 09 6564·8
 2012 10 8563·5
 2012 11 4062·1
 2012 12 3865·0
 2013 01  7063.9
 2013 02  3765.8
 2013 03  363·7
 2013 04  7164.2
 2013 05  8468.2
 2013 06  5265·3
 2013 07  465·3
 2013 08  6164.2
 2013 09  4663·8
 2013 10  064·0
 2013 11  4265.2
 2013 12  4066.2
 2014 01 1764.5
 2014 02 7467·4
 2014 03 4366·7
 2014 04 6467.4
 2014 05 8669·2
 2014 06 9466·4
 2014 07 5868·6
 2014 08 1670.5
 2014 09 6669.3
 2014 10 369.7
 2014 11 6371·5
 2014 12 071.5
 2015 01  9570.9
 2015 02  7167.8
 2015 03  5668·0
 2015 04  5070.2
 2015 05  3571.5
 2015 06  9271·8
 2015 07  6472.2
 2015 08  2270·6
 2015 09  7467.3
 2015 10  8670.1


 2015 11  3869.6
 2015 12  9868.3
 2016 01 2568.8
 2016 02 9568.5
 2016 03 5267·0
 2016 04 8469·1
 2016 05 2767·9
 2016 06 9069.5
 2016 07 667.0
 2016 08 1167.0
 2016 09 4168.0
 2016 10 6470.2
 2016 11 2870.6
 2016 12 3771·8
 2017 01  5769·9
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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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