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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 1361.0
 1994 12 3960·2
 1995 01  3856·3
 1995 02  6056.1
 1995 03  8456.6
 1995 04  8855.0
 1995 05  5355·9
 1995 06  9057·9
 1995 07  9059.1
 1995 08  460.1
 1995 09  3858.7
 1995 10  8757.7
 1995 11  8258·2
 1995 12  6857.9
 1996 01 557·4
 1996 02 9659·7
 1996 03 3560·4
 1996 04 8861·4
 1996 05 9361·0
 1996 06 8562·8
 1996 07 4961.6
 1996 08 9562·7
 1996 09 6463.4
 1996 10 4963.9
 1996 11 4959·4
 1996 12 4663·9
 1997 01  765·2
 1997 02  763·5
 1997 03  8766·3
 1997 04  2364.4
 1997 05  3462·8
 1997 06  462·1
 1997 07  3762.3
 1997 08  3164·5
 1997 09  8263·7
 1997 10  764·1
 1997 11  063·6
 1997 12  463.0
 1998 01 1664·5
 1998 02 1264·6
 1998 03 168.0
 1998 04 9666.0
 1998 05 2267·5
 1998 06 3867·6
 1998 07 9165.2
 1998 08 9163.0
 1998 09 1467·5
 1998 10 2868.0
 1998 11 4467·1
 1998 12 9468·3
 1999 01  2967·6
 1999 02  5265·7
 1999 03  6268.3
 1999 04  3766.2
 1999 05  3168.1
 1999 06  467.2
 1999 07  7064·3
 1999 08  7763·8
 1999 09  864.1
 1999 10  362·0
 1999 11  1863.0
 1999 12  9665·7
 2000 01 7165.9
 2000 02 9366·9
 2000 03 8268·9
 2000 04 071.2
 2000 05 6068·3
 2000 06 4468·0
 2000 07 6168.8
 2000 08 2165·6
 2000 09 3766·1
 2000 10 4964.0
 2000 11 8259·5
 2000 12 1666·3
 2001 01  8964·5
 2001 02  2863.8
 2001 03  9566.3
 2001 04  6566.6
 2001 05  3168·3
 2001 06  2566.2
 2001 07  7465.7
 2001 08  7664.2
 2001 09  9965·9
 2001 10  863.8
 2001 11  2258.1
 2001 12  8159.0
 2002 01 5659.0
 2002 02 7358.4
 2002 03 6263·9
 2002 04 3562·7
 2002 05 9263·8
 2002 06 3863·9
 2002 07 4564·4
 2002 08 2263·3
 2002 09 1766.0
 2002 10 4766.2
 2002 11 4761.6
 2002 12 4664.2
 2003 01  7163·5
 2003 02  7062.6
 2003 03  6863.5
 2003 04  4164.2
 2003 05  1659·3
 2003 06  161·7
 2003 07  3462·3
 2003 08  6264.9
 2003 09  4068·7
 2003 10  5870·0
 2003 11  9465·9
 2003 12  9169·1
 2004 01 5668.6
 2004 02 8663·4
 2004 03 2566·9
 2004 04 3668.1
 2004 05 164.7
 2004 06 5461·0
 2004 07 2765.2
 2004 08 2667.2
 2004 09 4069.0
 2004 10 5765·2
 2004 11 2463.6
 2004 12 2064.9
 2005 01  5964.8
 2005 02  1264·9
 2005 03  6868·2
 2005 04  9968·8
 2005 05  7171.9
 2005 06  6668.2
 2005 07  3364·7
 2005 08  6966·9
 2005 09  1563.5
 2005 10  8666·4
 2005 11  2166.2
 2005 12  6264.8
 2006 01 5368·0
 2006 02 6669.2
 2006 03 5770·1
 2006 04 3571·4
 2006 05 7370·1
 2006 06 2768.7
 2006 07 9064.0
 2006 08 7064·1
 2006 09 8964.7
 2006 10 1267·8
 2006 11 9765.8
 2006 12 7262.6
 2007 01  3763.5
 2007 02  9062·9
 2007 03  7767.7
 2007 04  7468.6
 2007 05  8168.2
 2007 06  5567.9
 2007 07  5769.1
 2007 08  3269.0
 2007 09  967·6
 2007 10  2668·4
 2007 11  8669·1
 2007 12  2868·1
 2008 01 3367·9
 2008 02 4966·8
 2008 03 4068.5
 2008 04 6970.0
 2008 05 9268·7
 2008 06 9166.8
 2008 07 2069.1
 2008 08 8666·2
 2008 09 4967·5
 2008 10 4769.9
 2008 11 5067·8
 2008 12 3667.8
 2009 01  9066.8
 2009 02  3667·9
 2009 03  8164.5
 2009 04  068.0
 2009 05  3064.3
 2009 06  261.0
 2009 07  8961·7
 2009 08  8558.5
 2009 09  660·6
 2009 10  1462.6
 2009 11  7463·2
 2009 12  2365·9
 2010 01 8163·6
 2010 02 6764.8
 2010 03 6164·2
 2010 04 7162·7
 2010 05 4261·9
 2010 06 8060.2
 2010 07 061.7
 2010 08 1061.2
 2010 09 460·1
 2010 10 9658.6
 2010 11 6860.8
 2010 12 4660·8
 2011 01  362.6
 2011 02  8562·1
 2011 03  6463.3
 2011 04  1165·2
 2011 05  262·1
 2011 06  4161·2
 2011 07  1461.6
 2011 08  6361·9
 2011 09  9062.9
 2011 10  8462.8
 2011 11  6863.1
 2011 12  8263.3
 2012 01 8061.9
 2012 02 5663·6
 2012 03 262·4
 2012 04 7663.5
 2012 05 864.5
 2012 06 2963.0
 2012 07 1663.9
 2012 08 7563.2
 2012 09 3964.8
 2012 10 9463·5
 2012 11 3562.1
 2012 12 3765.0
 2013 01  5963·9
 2013 02  7365·8
 2013 03  1063·7
 2013 04  4364·2
 2013 05  8268·2
 2013 06  865.3
 2013 07  1665·3
 2013 08  064.2
 2013 09  4763.8
 2013 10  6964·0
 2013 11  5465·2
 2013 12  3966·2
 2014 01 1464.5
 2014 02 5167·4
 2014 03 4966.7
 2014 04 1767.4
 2014 05 7469.2
 2014 06 7166.4
 2014 07 5168.6
 2014 08 1670·5
 2014 09 3769·3
 2014 10 7569.7
 2014 11 3671·5
 2014 12 4371·5
 2015 01  4370·9
 2015 02  3267.8


 2015 03  468.0
 2015 04  2870·2
 2015 05  5571·5
 2015 06  3671.8
 2015 07  8072·2
 2015 08  2970·6
 2015 09  5967.3
 2015 10  570.1
 2015 11  1669.6
 2015 12  2868·3
 2016 01 6968·8
 2016 02 8468.5
 2016 03 8567.0
 2016 04 3069.1
 2016 05 2467·9
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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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