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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 4661.0
 1994 12 9860·2
 1995 01  9956.3
 1995 02  8556.1
 1995 03  1356.6
 1995 04  4355.0
 1995 05  3855.9
 1995 06  8957·9
 1995 07  7059.1
 1995 08  1160.1
 1995 09  258.7
 1995 10  1757·7
 1995 11  7058.2
 1995 12  8557.9
 1996 01 557.4
 1996 02 1359.7
 1996 03 8660·4
 1996 04 7061.4
 1996 05 8561·0
 1996 06 4662.8
 1996 07 2061.6
 1996 08 9962·7
 1996 09 463·4
 1996 10 1063.9
 1996 11 9759.4
 1996 12 2863.9
 1997 01  5165·2
 1997 02  2463·5
 1997 03  6766·3
 1997 04  3964.4
 1997 05  3862·8
 1997 06  3362.1
 1997 07  662.3
 1997 08  3764·5
 1997 09  463.7
 1997 10  564·1
 1997 11  1463.6
 1997 12  5663.0
 1998 01 1164·5
 1998 02 3464.6
 1998 03 1668·0
 1998 04 5266.0
 1998 05 4667·5
 1998 06 4167.6
 1998 07 6365.2
 1998 08 563.0
 1998 09 2467·5
 1998 10 6868.0
 1998 11 3167·1
 1998 12 2468·3
 1999 01  8167·6
 1999 02  8665.7
 1999 03  1968·3
 1999 04  3966.2
 1999 05  8168·1
 1999 06  8767.2
 1999 07  5364·3
 1999 08  763·8
 1999 09  1264.1
 1999 10  9262·0
 1999 11  8363·0
 1999 12  1065·7
 2000 01 8665·9
 2000 02 4566.9
 2000 03 8668·9
 2000 04 5471·2
 2000 05 4268.3
 2000 06 1468·0
 2000 07 6068·8
 2000 08 7265·6
 2000 09 4266·1
 2000 10 9464·0
 2000 11 3259·5
 2000 12 1966·3
 2001 01  7464.5
 2001 02  463.8
 2001 03  5266·3
 2001 04  7766.6
 2001 05  5168.3
 2001 06  8866·2
 2001 07  9665.7
 2001 08  5464·2
 2001 09  1165.9
 2001 10  1563·8
 2001 11  6358.1
 2001 12  8059.0
 2002 01 1759·0
 2002 02 7958·4
 2002 03 8063·9
 2002 04 1262.7
 2002 05 5663.8
 2002 06 063.9
 2002 07 9564·4
 2002 08 3363·3
 2002 09 4266.0
 2002 10 2166.2
 2002 11 8661·6
 2002 12 4864.2
 2003 01  1363·5
 2003 02  1362·6
 2003 03  5363·5
 2003 04  8964·2
 2003 05  3159·3
 2003 06  6861.7
 2003 07  1962.3
 2003 08  1364·9
 2003 09  8468.7
 2003 10  670·0
 2003 11  3765.9
 2003 12  169.1
 2004 01 8668·6
 2004 02 7163.4
 2004 03 8266.9
 2004 04 6168.1
 2004 05 7364·7
 2004 06 3361.0
 2004 07 5365·2
 2004 08 2367.2
 2004 09 1069.0
 2004 10 8565.2
 2004 11 7763.6
 2004 12 4564·9
 2005 01  8364.8
 2005 02  4764.9
 2005 03  368.2
 2005 04  868·8
 2005 05  671.9
 2005 06  6368·2
 2005 07  864·7
 2005 08  1866.9
 2005 09  1763·5
 2005 10  166.4
 2005 11  9166·2
 2005 12  864·8
 2006 01 7868·0
 2006 02 5669.2
 2006 03 7770.1
 2006 04 3471·4
 2006 05 7870.1
 2006 06 4868·7
 2006 07 1864.0
 2006 08 7764·1
 2006 09 2964.7
 2006 10 2067·8
 2006 11 8965·8
 2006 12 4562.6
 2007 01  6963·5
 2007 02  4162·9
 2007 03  8967·7
 2007 04  6868·6
 2007 05  6268·2
 2007 06  667.9
 2007 07  4569.1
 2007 08  469·0
 2007 09  9467.6
 2007 10  3468·4
 2007 11  769.1
 2007 12  3568·1
 2008 01 7967·9
 2008 02 6866.8
 2008 03 5068·5
 2008 04 6670.0
 2008 05 5568·7
 2008 06 7966.8
 2008 07 7469.1
 2008 08 2966.2
 2008 09 8467.5
 2008 10 5969·9
 2008 11 667.8
 2008 12 8267·8
 2009 01  5566·8
 2009 02  2967.9
 2009 03  9464·5
 2009 04  568.0
 2009 05  8164·3
 2009 06  3361·0
 2009 07  1661.7
 2009 08  658.5
 2009 09  9860·6
 2009 10  3962.6
 2009 11  7163·2
 2009 12  1565·9
 2010 01 7163.6
 2010 02 4164·8
 2010 03 8464·2
 2010 04 9162·7
 2010 05 8761·9
 2010 06 6060·2
 2010 07 661.7
 2010 08 1461.2
 2010 09 5960·1
 2010 10 3858.6
 2010 11 1360·8
 2010 12 9060.8
 2011 01  2562·6
 2011 02  4662·1
 2011 03  463.3
 2011 04  5265.2
 2011 05  4862·1
 2011 06  7761.2
 2011 07  561.6
 2011 08  5761·9
 2011 09  1562.9
 2011 10  5062.8
 2011 11  6763.1
 2011 12  8563·3
 2012 01 4061.9
 2012 02 1063.6
 2012 03 6462.4
 2012 04 4463·5
 2012 05 6164·5
 2012 06 2563·0
 2012 07 9863·9
 2012 08 6563·2
 2012 09 3964.8
 2012 10 9163.5
 2012 11 9362·1
 2012 12 465.0
 2013 01  6463·9
 2013 02  2565.8
 2013 03  163.7
 2013 04  4464·2
 2013 05  4868.2
 2013 06  7365.3
 2013 07  9665.3
 2013 08  9264.2
 2013 09  2963·8
 2013 10  264.0
 2013 11  7965.2
 2013 12  7766.2
 2014 01 7064.5
 2014 02 967.4
 2014 03 7566.7
 2014 04 5967.4
 2014 05 5969.2
 2014 06 1066.4
 2014 07 3468.6
 2014 08 1770·5
 2014 09 869·3
 2014 10 5269·7
 2014 11 3371·5
 2014 12 5971.5
 2015 01  5670.9
 2015 02  267·8
 2015 03  7168.0


 2015 04  1670.2
 2015 05  6671.5
 2015 06  5571.8
 2015 07  7472.2
 2015 08  4570.6
 2015 09  2467.3
 2015 10  3070·1
 2015 11  9269·6
 2015 12  2768.3
 2016 01 4568.8
 2016 02 7268·5
 2016 03 067.0
 2016 04 7069·1
 2016 05 6667.9
 2016 06 4869·5
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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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