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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 6461.0
 1994 12 8660·2
 1995 01  2956.3
 1995 02  1956.1
 1995 03  956.6
 1995 04  5255·0
 1995 05  555.9
 1995 06  5357·9
 1995 07  6359.1
 1995 08  5960.1
 1995 09  2558·7
 1995 10  2957.7
 1995 11  7858.2
 1995 12  9157.9
 1996 01 357.4
 1996 02 9259·7
 1996 03 2860.4
 1996 04 5361.4
 1996 05 7761.0
 1996 06 1162.8
 1996 07 1561·6
 1996 08 7762.7
 1996 09 863.4
 1996 10 7963.9
 1996 11 6459.4
 1996 12 1963·9
 1997 01  8665·2
 1997 02  1763.5
 1997 03  2566·3
 1997 04  6364·4
 1997 05  2462·8
 1997 06  6762.1
 1997 07  7362.3
 1997 08  1364·5
 1997 09  5863.7
 1997 10  064·1
 1997 11  963.6
 1997 12  263·0
 1998 01 5264·5
 1998 02 1064·6
 1998 03 5868·0
 1998 04 8666·0
 1998 05 9467.5
 1998 06 1467.6
 1998 07 7165·2
 1998 08 4763.0
 1998 09 9667.5
 1998 10 5968·0
 1998 11 2267.1
 1998 12 9268.3
 1999 01  9767·6
 1999 02  1265.7
 1999 03  1368·3
 1999 04  5366.2
 1999 05  6068·1
 1999 06  6867.2
 1999 07  6964.3
 1999 08  8563·8
 1999 09  7164·1
 1999 10  4762.0
 1999 11  4063·0
 1999 12  7065·7
 2000 01 4665·9
 2000 02 9166.9
 2000 03 268.9
 2000 04 1671·2
 2000 05 2068.3
 2000 06 7168·0
 2000 07 5568·8
 2000 08 5465·6
 2000 09 5766·1
 2000 10 8164.0
 2000 11 2359.5
 2000 12 4066.3
 2001 01  4564.5
 2001 02  3963·8
 2001 03  5966.3
 2001 04  5666·6
 2001 05  9768·3
 2001 06  9066.2
 2001 07  3765·7
 2001 08  964.2
 2001 09  5165·9
 2001 10  363·8
 2001 11  5758·1
 2001 12  3159.0
 2002 01 6959·0
 2002 02 7258·4
 2002 03 4563.9
 2002 04 7762·7
 2002 05 4063.8
 2002 06 1663.9
 2002 07 5264·4
 2002 08 3063·3
 2002 09 7666·0
 2002 10 8066.2
 2002 11 5261.6
 2002 12 9764·2
 2003 01  1563·5
 2003 02  3262.6
 2003 03  4663.5
 2003 04  864·2
 2003 05  2159.3
 2003 06  6761.7
 2003 07  6062·3
 2003 08  2164.9
 2003 09  8068·7
 2003 10  370·0
 2003 11  4365.9
 2003 12  1769.1
 2004 01 668.6
 2004 02 8663·4
 2004 03 7266·9
 2004 04 368.1
 2004 05 3864·7
 2004 06 8361·0
 2004 07 4665.2
 2004 08 1167.2
 2004 09 3769.0
 2004 10 9065.2
 2004 11 9263·6
 2004 12 9664·9
 2005 01  9164·8
 2005 02  2564·9
 2005 03  5968.2
 2005 04  4268.8
 2005 05  1471·9
 2005 06  3368·2
 2005 07  2264·7
 2005 08  5466.9
 2005 09  4463.5
 2005 10  8266·4
 2005 11  8366.2
 2005 12  6464.8
 2006 01 4268.0
 2006 02 6769.2
 2006 03 6770·1
 2006 04 2971.4
 2006 05 9870.1
 2006 06 768.7
 2006 07 2364.0
 2006 08 3064·1
 2006 09 2464·7
 2006 10 4667·8
 2006 11 2865.8
 2006 12 7462·6
 2007 01  5863.5
 2007 02  5362·9
 2007 03  8267·7
 2007 04  9368.6
 2007 05  6268.2
 2007 06  2267.9
 2007 07  969·1
 2007 08  4369·0
 2007 09  2667·6
 2007 10  7368·4
 2007 11  6169·1
 2007 12  568.1
 2008 01 6167.9
 2008 02 5066·8
 2008 03 1468·5
 2008 04 8870.0
 2008 05 568.7
 2008 06 2166·8
 2008 07 6669·1
 2008 08 2266·2
 2008 09 2267·5
 2008 10 8269.9
 2008 11 4467.8
 2008 12 6367·8
 2009 01  9966.8
 2009 02  5067.9
 2009 03  9964.5
 2009 04  9468.0
 2009 05  5064·3
 2009 06  7061·0
 2009 07  561.7
 2009 08  2158·5
 2009 09  1160.6
 2009 10  1262·6
 2009 11  6263.2
 2009 12  7665.9
 2010 01 4663.6
 2010 02 6964.8
 2010 03 9764.2
 2010 04 1662·7
 2010 05 4461·9
 2010 06 6160·2
 2010 07 6061.7
 2010 08 2161.2
 2010 09 1660.1
 2010 10 3258·6
 2010 11 2660·8
 2010 12 9960·8
 2011 01  062·6
 2011 02  5062.1
 2011 03  9563.3
 2011 04  8265.2
 2011 05  6062·1
 2011 06  1161.2
 2011 07  9361.6
 2011 08  2561.9
 2011 09  8462.9
 2011 10  3262·8
 2011 11  7063.1
 2011 12  1163.3
 2012 01 8461.9
 2012 02 5963·6
 2012 03 262·4
 2012 04 4663.5
 2012 05 9864·5
 2012 06 6163·0
 2012 07 8963.9
 2012 08 6263.2
 2012 09 8964.8
 2012 10 3163·5
 2012 11 5662.1
 2012 12 1665·0
 2013 01  4563.9
 2013 02  8865·8
 2013 03  5463.7
 2013 04  8964·2
 2013 05  7968.2
 2013 06  7865·3
 2013 07  5865·3
 2013 08  8764·2
 2013 09  2863·8
 2013 10  6864.0
 2013 11  6965·2
 2013 12  4366.2
 2014 01 5764·5
 2014 02 5467·4
 2014 03 1266.7
 2014 04 1467·4
 2014 05 5169·2
 2014 06 5466.4
 2014 07 3768.6
 2014 08 7970.5
 2014 09 2669·3
 2014 10 1369.7
 2014 11 2071.5
 2014 12 4871·5


 2015 01  1770·9
 2015 02  9967·8
 2015 03  6168.0
 2015 04  5070.2
 2015 05  8971·5
 2015 06  671·8
 2015 07  8672·2
 2015 08  4370.6
 2015 09  2967.3
 2015 10  5570.1
 2015 11  4469.6
 2015 12  868·3
 2016 01 5068·8
 2016 02 8968·5
 2016 03 1267·0
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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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