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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 2561·0
 1994 12 6260.2
 1995 01  5356·3
 1995 02  856·1
 1995 03  6056·6
 1995 04  4455·0
 1995 05  9755·9
 1995 06  8757.9
 1995 07  6159.1
 1995 08  2560.1
 1995 09  4258.7
 1995 10  6557.7
 1995 11  7958.2
 1995 12  8557.9
 1996 01 157·4
 1996 02 8559.7
 1996 03 8860·4
 1996 04 3361.4
 1996 05 1261.0
 1996 06 1862.8
 1996 07 9161·6
 1996 08 9962.7
 1996 09 3763.4
 1996 10 5663·9
 1996 11 1159.4
 1996 12 4063.9
 1997 01  6565.2
 1997 02  2063.5
 1997 03  9966.3
 1997 04  3764·4
 1997 05  862·8
 1997 06  5362.1
 1997 07  3162.3
 1997 08  9864.5
 1997 09  463.7
 1997 10  2564.1
 1997 11  863.6
 1997 12  5463.0
 1998 01 1764·5
 1998 02 2964·6
 1998 03 5368·0
 1998 04 6266·0
 1998 05 3467·5
 1998 06 8567.6
 1998 07 1965·2
 1998 08 263·0
 1998 09 6767.5
 1998 10 3768.0
 1998 11 8067·1
 1998 12 8368.3
 1999 01  5567.6
 1999 02  5465.7
 1999 03  3668.3
 1999 04  3566.2
 1999 05  6168.1
 1999 06  3067.2
 1999 07  1464·3
 1999 08  1563·8
 1999 09  7364·1
 1999 10  8562·0
 1999 11  6363.0
 1999 12  565·7
 2000 01 365.9
 2000 02 6266·9
 2000 03 5868·9
 2000 04 1271·2
 2000 05 8968.3
 2000 06 3168·0
 2000 07 168·8
 2000 08 6665.6
 2000 09 9566·1
 2000 10 8564·0
 2000 11 1759.5
 2000 12 2666.3
 2001 01  864.5
 2001 02  4563.8
 2001 03  5566.3
 2001 04  7166·6
 2001 05  4168·3
 2001 06  5366.2
 2001 07  9265·7
 2001 08  1064.2
 2001 09  3265·9
 2001 10  8063·8
 2001 11  2858.1
 2001 12  7359·0
 2002 01 4359.0
 2002 02 1958.4
 2002 03 8763·9
 2002 04 1862·7
 2002 05 6463.8
 2002 06 9063·9
 2002 07 2264.4
 2002 08 2563.3
 2002 09 666.0
 2002 10 3666·2
 2002 11 661·6
 2002 12 264.2
 2003 01  763.5
 2003 02  2662.6
 2003 03  4063.5
 2003 04  8064·2
 2003 05  3159·3
 2003 06  5661·7
 2003 07  5162.3
 2003 08  1764·9
 2003 09  6568·7
 2003 10  4470.0
 2003 11  8765·9
 2003 12  9269·1
 2004 01 2368·6
 2004 02 3463.4
 2004 03 2566·9
 2004 04 1468.1
 2004 05 4164·7
 2004 06 9561·0
 2004 07 6565.2
 2004 08 1367·2
 2004 09 8469.0
 2004 10 2265.2
 2004 11 3263·6
 2004 12 4764.9
 2005 01  3864·8
 2005 02  3464·9
 2005 03  7668·2
 2005 04  9768.8
 2005 05  1771·9
 2005 06  7468·2
 2005 07  7464.7
 2005 08  7066·9
 2005 09  5863·5
 2005 10  1266·4
 2005 11  2566·2
 2005 12  9764·8
 2006 01 2668.0
 2006 02 4269.2
 2006 03 5570·1
 2006 04 3471.4
 2006 05 670·1
 2006 06 8368·7
 2006 07 1564.0
 2006 08 6564.1
 2006 09 1364.7
 2006 10 7967·8
 2006 11 7865.8
 2006 12 9562.6
 2007 01  8463·5
 2007 02  062.9
 2007 03  4767.7
 2007 04  5568·6
 2007 05  8268.2
 2007 06  4067.9
 2007 07  4769·1
 2007 08  369·0
 2007 09  9567.6
 2007 10  1768·4
 2007 11  2769.1
 2007 12  2168.1
 2008 01 3667.9
 2008 02 7666.8
 2008 03 6368.5
 2008 04 1470.0
 2008 05 4368.7
 2008 06 8666.8
 2008 07 5669·1
 2008 08 1566·2
 2008 09 7867·5
 2008 10 4169·9
 2008 11 3167·8
 2008 12 7967·8
 2009 01  3066.8
 2009 02  6167·9
 2009 03  3864·5
 2009 04  9068.0
 2009 05  1164·3
 2009 06  8961·0
 2009 07  5361·7
 2009 08  5358·5
 2009 09  6060·6
 2009 10  9562.6
 2009 11  7663.2
 2009 12  9965.9
 2010 01 3963.6
 2010 02 7264.8
 2010 03 3264·2
 2010 04 8762.7
 2010 05 3661.9
 2010 06 4060.2
 2010 07 7361.7
 2010 08 9761·2
 2010 09 6460·1
 2010 10 4358·6
 2010 11 7360·8
 2010 12 3560.8
 2011 01  6062·6
 2011 02  5062·1
 2011 03  3263·3
 2011 04  3565.2
 2011 05  8962.1
 2011 06  5661·2
 2011 07  7761·6
 2011 08  5161·9
 2011 09  3762.9
 2011 10  7962.8
 2011 11  5763.1
 2011 12  6663.3
 2012 01 1861·9
 2012 02 6363.6
 2012 03 4862.4
 2012 04 8763·5
 2012 05 6964·5
 2012 06 7863.0
 2012 07 5063·9
 2012 08 4563.2
 2012 09 5464·8
 2012 10 1863·5
 2012 11 8962.1
 2012 12 9765·0
 2013 01  5963.9
 2013 02  265.8
 2013 03  1563·7
 2013 04  2464·2
 2013 05  9968.2
 2013 06  7465·3
 2013 07  365.3
 2013 08  3464·2
 2013 09  1163·8
 2013 10  464·0
 2013 11  5465·2


 2013 12  5766·2
 2014 01 5864.5
 2014 02 8467.4
 2014 03 9366·7
 2014 04 5067·4
 2014 05 2769.2
 2014 06 3666.4
 2014 07 7168·6
 2014 08 9570.5
 2014 09 3369.3
 2014 10 269·7
 2014 11 6371·5
 2014 12 9971.5
 2015 01  1170.9
 2015 02  5167.8
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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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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