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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 6160·2
 1995 01  6656·3
 1995 02  5056.1
 1995 03  6656.6
 1995 04  6555.0
 1995 05  655·9
 1995 06  7357.9
 1995 07  3459.1
 1995 08  1260.1
 1995 09  9158.7
 1995 10  3957.7
 1995 11  6358.2
 1995 12  8257.9
 1996 01 3357.4
 1996 02 9159·7
 1996 03 2860·4
 1996 04 8361.4
 1996 05 7061.0
 1996 06 9962·8
 1996 07 2961.6
 1996 08 4662·7
 1996 09 6663.4
 1996 10 5663.9
 1996 11 9159.4
 1996 12 2863·9
 1997 01  865.2
 1997 02  8363·5
 1997 03  6666·3
 1997 04  1164.4
 1997 05  962·8
 1997 06  2262·1
 1997 07  2862·3
 1997 08  064·5
 1997 09  863·7
 1997 10  4464.1
 1997 11  7863.6
 1997 12  2863·0
 1998 01 6664·5
 1998 02 4364·6
 1998 03 4168·0
 1998 04 5166·0
 1998 05 7267.5
 1998 06 3767·6
 1998 07 6865.2
 1998 08 5263·0
 1998 09 3867·5
 1998 10 7068.0
 1998 11 3467·1
 1998 12 3668·3
 1999 01  367·6
 1999 02  1265.7
 1999 03  3968·3
 1999 04  3566·2
 1999 05  3068.1
 1999 06  5867·2
 1999 07  964·3
 1999 08  663·8
 1999 09  664·1
 1999 10  2562·0
 1999 11  9463·0
 1999 12  3165·7
 2000 01 4465.9
 2000 02 5966·9
 2000 03 7068·9
 2000 04 1671.2
 2000 05 8268·3
 2000 06 2868·0
 2000 07 3668.8
 2000 08 9265.6
 2000 09 8466.1
 2000 10 2764·0
 2000 11 1959·5
 2000 12 1866.3
 2001 01  3664·5
 2001 02  7463.8
 2001 03  6966·3
 2001 04  7366·6
 2001 05  5268·3
 2001 06  1466.2
 2001 07  6165·7
 2001 08  6564.2
 2001 09  6965.9
 2001 10  1663·8
 2001 11  9558·1
 2001 12  2559·0
 2002 01 5259·0
 2002 02 7458·4
 2002 03 9763.9
 2002 04 1162·7
 2002 05 8763.8
 2002 06 763·9
 2002 07 1864·4
 2002 08 363·3
 2002 09 8766·0
 2002 10 6066·2
 2002 11 3261.6
 2002 12 964·2
 2003 01  9063.5
 2003 02  162·6
 2003 03  4063·5
 2003 04  5964.2
 2003 05  6059.3
 2003 06  2561.7
 2003 07  6862·3
 2003 08  1164·9
 2003 09  8368.7
 2003 10  5070·0
 2003 11  6665.9
 2003 12  4669·1
 2004 01 7468.6
 2004 02 2263.4
 2004 03 966.9
 2004 04 7168.1
 2004 05 6964.7
 2004 06 961.0
 2004 07 9765.2
 2004 08 1867·2
 2004 09 3269·0
 2004 10 465.2
 2004 11 5763·6
 2004 12 4364.9
 2005 01  5064·8
 2005 02  2864·9
 2005 03  3868.2
 2005 04  2768·8
 2005 05  3871.9
 2005 06  2568.2
 2005 07  1564·7
 2005 08  7866.9
 2005 09  3163.5
 2005 10  6366.4
 2005 11  9066·2
 2005 12  2764·8
 2006 01 9468·0
 2006 02 3769·2
 2006 03 8870.1
 2006 04 3171.4
 2006 05 1470.1
 2006 06 6668·7
 2006 07 5864.0
 2006 08 7164.1
 2006 09 464.7
 2006 10 9467.8
 2006 11 7765·8
 2006 12 5562.6
 2007 01  163.5
 2007 02  9162·9
 2007 03  4567.7
 2007 04  1268·6
 2007 05  7068.2
 2007 06  4967·9
 2007 07  8769.1
 2007 08  169·0
 2007 09  9867·6
 2007 10  8968.4
 2007 11  5369.1
 2007 12  368·1
 2008 01 9767·9
 2008 02 5566·8
 2008 03 1968.5
 2008 04 2570·0
 2008 05 568.7
 2008 06 1566.8
 2008 07 8669.1
 2008 08 9866.2
 2008 09 8667·5
 2008 10 6569·9
 2008 11 7867·8
 2008 12 7867.8
 2009 01  2766.8
 2009 02  2267.9
 2009 03  4664.5
 2009 04  4968.0
 2009 05  4264·3
 2009 06  3161·0
 2009 07  6661.7
 2009 08  1558·5
 2009 09  6760·6
 2009 10  6262.6
 2009 11  3863.2
 2009 12  965·9
 2010 01 6763.6
 2010 02 964·8
 2010 03 8764.2
 2010 04 8762.7
 2010 05 2861.9
 2010 06 9060·2
 2010 07 6461.7
 2010 08 3261·2
 2010 09 6460.1
 2010 10 4958·6
 2010 11 4460·8
 2010 12 4960·8
 2011 01  1362.6
 2011 02  5762·1
 2011 03  2763.3
 2011 04  7065.2
 2011 05  3762.1
 2011 06  661.2
 2011 07  3961.6
 2011 08  5361·9
 2011 09  2462·9
 2011 10  1762·8
 2011 11  3063.1
 2011 12  7863·3
 2012 01 8861·9
 2012 02 3363.6
 2012 03 7662·4
 2012 04 5263·5
 2012 05 6664.5
 2012 06 2363.0
 2012 07 7763·9
 2012 08 763.2
 2012 09 2164·8
 2012 10 8263·5
 2012 11 5862.1
 2012 12 065·0
 2013 01  4263.9
 2013 02  2965.8
 2013 03  7063·7
 2013 04  1264.2
 2013 05  4068·2
 2013 06  865.3
 2013 07  8965.3


 2013 08  4964.2
 2013 09  5363·8
 2013 10  8864.0
 2013 11  1465.2
 2013 12  4466.2
 2014 01 4664.5
 2014 02 6267·4
 2014 03 7066·7
 2014 04 5467·4
 2014 05 569·2
 2014 06 5166.4
 2014 07 1068.6
 2014 08 5970·5
 2014 09 4369·3
 2014 10 9969.7
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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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