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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 9861·0
 1994 12 8860.2
 1995 01  3056.3
 1995 02  8256.1
 1995 03  2956.6
 1995 04  5455.0
 1995 05  4555·9
 1995 06  2057.9
 1995 07  7659.1
 1995 08  6860·1
 1995 09  1158.7
 1995 10  657.7
 1995 11  8958·2
 1995 12  1257.9
 1996 01 4257.4
 1996 02 8559·7
 1996 03 4560.4
 1996 04 9361.4
 1996 05 7361·0
 1996 06 2662.8
 1996 07 4461·6
 1996 08 4362·7
 1996 09 7063·4
 1996 10 2363·9
 1996 11 1059·4
 1996 12 1863·9
 1997 01  1865.2
 1997 02  9663·5
 1997 03  9566·3
 1997 04  9964·4
 1997 05  3362·8
 1997 06  8762.1
 1997 07  7362·3
 1997 08  9364·5
 1997 09  5063.7
 1997 10  6864.1
 1997 11  4563.6
 1997 12  3363·0
 1998 01 3464.5
 1998 02 3164.6
 1998 03 3768.0
 1998 04 7466·0
 1998 05 7167.5
 1998 06 9567·6
 1998 07 9965·2
 1998 08 9863·0
 1998 09 7667·5
 1998 10 668.0
 1998 11 567·1
 1998 12 1268·3
 1999 01  8567·6
 1999 02  3165·7
 1999 03  5868·3
 1999 04  4866·2
 1999 05  6268·1
 1999 06  6667·2
 1999 07  8264·3
 1999 08  6263.8
 1999 09  9564·1
 1999 10  3062.0
 1999 11  2763·0
 1999 12  3565.7
 2000 01 9665·9
 2000 02 6566·9
 2000 03 6868.9
 2000 04 7571·2
 2000 05 468·3
 2000 06 4368.0
 2000 07 768.8
 2000 08 1465.6
 2000 09 8066.1
 2000 10 5664.0
 2000 11 6959.5
 2000 12 766·3
 2001 01  1464·5
 2001 02  2463.8
 2001 03  366.3
 2001 04  3666·6
 2001 05  1868·3
 2001 06  9166·2
 2001 07  8665.7
 2001 08  864·2
 2001 09  3065·9
 2001 10  2663·8
 2001 11  1858.1
 2001 12  5559·0
 2002 01 1359·0
 2002 02 2458·4
 2002 03 2463.9
 2002 04 3362.7
 2002 05 5563·8
 2002 06 363·9
 2002 07 5464.4
 2002 08 2463·3
 2002 09 6866·0
 2002 10 866·2
 2002 11 8561·6
 2002 12 3564·2
 2003 01  9063.5
 2003 02  762.6
 2003 03  1563.5
 2003 04  9764.2
 2003 05  8559.3
 2003 06  9561·7
 2003 07  7262.3
 2003 08  6664·9
 2003 09  4168.7
 2003 10  9270·0
 2003 11  465.9
 2003 12  2569·1
 2004 01 6968·6
 2004 02 4063.4
 2004 03 8866·9
 2004 04 8168·1
 2004 05 964·7
 2004 06 1061.0
 2004 07 2465·2
 2004 08 6467.2
 2004 09 2269.0
 2004 10 9665.2
 2004 11 3763.6
 2004 12 3164·9
 2005 01  9764·8
 2005 02  1664·9
 2005 03  7868·2
 2005 04  6568·8
 2005 05  4871.9
 2005 06  1468·2
 2005 07  2264·7
 2005 08  7166.9
 2005 09  1063·5
 2005 10  6166.4
 2005 11  6966·2
 2005 12  8164·8
 2006 01 4868.0
 2006 02 5069·2
 2006 03 4570.1
 2006 04 5371·4
 2006 05 5070.1
 2006 06 9968.7
 2006 07 064·0
 2006 08 6764·1
 2006 09 2864.7
 2006 10 5467.8
 2006 11 1065·8
 2006 12 3062.6
 2007 01  2063·5
 2007 02  8462.9
 2007 03  7567.7
 2007 04  7568·6
 2007 05  8968.2
 2007 06  8267.9
 2007 07  2169·1
 2007 08  5669·0
 2007 09  2467·6
 2007 10  6868·4
 2007 11  9769.1
 2007 12  5768·1
 2008 01 3667.9
 2008 02 8666.8
 2008 03 7968.5
 2008 04 8470·0
 2008 05 6368·7
 2008 06 466.8
 2008 07 6869·1
 2008 08 6866.2
 2008 09 7067·5
 2008 10 1869·9
 2008 11 8967·8
 2008 12 6667.8
 2009 01  4366.8
 2009 02  4667·9
 2009 03  9264.5
 2009 04  6168·0
 2009 05  9564.3
 2009 06  3361·0
 2009 07  5361.7
 2009 08  5758.5
 2009 09  6560·6
 2009 10  4762·6
 2009 11  7363·2
 2009 12  8765·9
 2010 01 1563.6
 2010 02 8364.8
 2010 03 7564.2
 2010 04 862·7
 2010 05 3361.9
 2010 06 5960·2
 2010 07 1261·7
 2010 08 261·2
 2010 09 3260.1
 2010 10 2158·6
 2010 11 5860.8
 2010 12 7460.8
 2011 01  5062.6
 2011 02  3762.1
 2011 03  1363·3
 2011 04  5765.2
 2011 05  4962·1
 2011 06  161.2
 2011 07  461·6
 2011 08  761.9
 2011 09  1962·9
 2011 10  3362·8
 2011 11  8063.1
 2011 12  663.3
 2012 01 7061·9
 2012 02 7663.6
 2012 03 1762·4
 2012 04 6063·5
 2012 05 4364·5
 2012 06 9963·0
 2012 07 1563·9
 2012 08 263.2
 2012 09 9864.8
 2012 10 9863.5
 2012 11 062.1
 2012 12 8765.0
 2013 01  2563.9
 2013 02  9165.8
 2013 03  2263·7
 2013 04  9864.2
 2013 05  3668.2
 2013 06  2165·3
 2013 07  5765.3
 2013 08  4164·2
 2013 09  6963·8
 2013 10  5964·0
 2013 11  465.2
 2013 12  4866·2
 2014 01 8764.5
 2014 02 9967.4
 2014 03 8966.7
 2014 04 7567·4
 2014 05 7869.2
 2014 06 5866.4
 2014 07 6468.6
 2014 08 370.5
 2014 09 5469·3
 2014 10 8369·7
 2014 11 271.5
 2014 12 4171·5
 2015 01  5470.9
 2015 02  4167.8
 2015 03  468·0
 2015 04  1970.2
 2015 05  4071·5
 2015 06  2871.8
 2015 07  9672·2
 2015 08  9370.6
 2015 09  167.3
 2015 10  6170.1
 2015 11  2969·6
 2015 12  4768·3
 2016 01 4968·8
 2016 02 8668.5
 2016 03 7767·0
 2016 04 8569.1
 2016 05 2267.9
 2016 06 7169·5
 2016 07 4067.0


 2016 08 4067.0
 2016 09 8368.0
 2016 10 1070·2
 2016 11 4670·6
 2016 12 6971.8
 2017 01  2069.9
 2017 02  2470.8
 2017 03  4368.7
 2017 04  5368·5
 2017 05  4669.0
 2017 06  5570·5
 2017 07  771·2
 2017 08  9869·5
 2017 09  9873.5
 2017 10  7373·4
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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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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