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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 3261.0
 1994 12 160·2
 1995 01  9456·3
 1995 02  5656·1
 1995 03  5756.6
 1995 04  7255·0
 1995 05  7355·9
 1995 06  6657.9
 1995 07  3759·1
 1995 08  2860·1
 1995 09  4158.7
 1995 10  6357·7
 1995 11  2158.2
 1995 12  5257.9
 1996 01 1057.4
 1996 02 9159·7
 1996 03 8460·4
 1996 04 5061.4
 1996 05 1861.0
 1996 06 1862·8
 1996 07 2861.6
 1996 08 5462.7
 1996 09 2863.4
 1996 10 3863·9
 1996 11 7759·4
 1996 12 2063.9
 1997 01  2865.2
 1997 02  7163·5
 1997 03  8166.3
 1997 04  3164·4
 1997 05  3162.8
 1997 06  6162.1
 1997 07  1762·3
 1997 08  9264.5
 1997 09  7563·7
 1997 10  7764.1
 1997 11  8563·6
 1997 12  3663·0
 1998 01 2264.5
 1998 02 1364·6
 1998 03 968·0
 1998 04 1966·0
 1998 05 6167·5
 1998 06 8867·6
 1998 07 4165·2
 1998 08 2363·0
 1998 09 567.5
 1998 10 4768.0
 1998 11 5667.1
 1998 12 5468·3
 1999 01  9167·6
 1999 02  5965·7
 1999 03  5368.3
 1999 04  4566·2
 1999 05  8268·1
 1999 06  1767.2
 1999 07  5964.3
 1999 08  5063·8
 1999 09  6664·1
 1999 10  4162·0
 1999 11  2463·0
 1999 12  5465.7
 2000 01 5665·9
 2000 02 7566.9
 2000 03 2468·9
 2000 04 6171.2
 2000 05 8968·3
 2000 06 8868·0
 2000 07 5868.8
 2000 08 365·6
 2000 09 3066.1
 2000 10 7464.0
 2000 11 5259.5
 2000 12 3866.3
 2001 01  6564.5
 2001 02  5363.8
 2001 03  5766·3
 2001 04  4766·6
 2001 05  868·3
 2001 06  6866.2
 2001 07  4765·7
 2001 08  3664·2
 2001 09  9765.9
 2001 10  8963.8
 2001 11  2458.1
 2001 12  3759·0
 2002 01 9359.0
 2002 02 1058·4
 2002 03 1363·9
 2002 04 862.7
 2002 05 8663·8
 2002 06 5063·9
 2002 07 6364.4
 2002 08 2863.3
 2002 09 8866·0
 2002 10 5366·2
 2002 11 5161·6
 2002 12 664.2
 2003 01  3763.5
 2003 02  8862.6
 2003 03  7763.5
 2003 04  7264.2
 2003 05  9659·3
 2003 06  5061·7
 2003 07  6662.3
 2003 08  8464·9
 2003 09  5368.7
 2003 10  5770·0
 2003 11  6865·9
 2003 12  2269·1
 2004 01 2068.6
 2004 02 5463·4
 2004 03 6066.9
 2004 04 9568·1
 2004 05 3664·7
 2004 06 961.0
 2004 07 4165.2
 2004 08 3267.2
 2004 09 6369·0
 2004 10 1865·2
 2004 11 3763.6
 2004 12 9264.9
 2005 01  9064·8
 2005 02  9964.9
 2005 03  9868·2
 2005 04  5568·8
 2005 05  2971·9
 2005 06  9668.2
 2005 07  9964·7
 2005 08  2866.9
 2005 09  1863·5
 2005 10  7866·4
 2005 11  4166.2
 2005 12  4364·8
 2006 01 2068·0
 2006 02 4069·2
 2006 03 5070·1
 2006 04 5671·4
 2006 05 2370.1
 2006 06 068.7
 2006 07 7664.0
 2006 08 5064·1
 2006 09 4064.7
 2006 10 467.8
 2006 11 9365·8
 2006 12 3062·6
 2007 01  863·5
 2007 02  1962.9
 2007 03  367·7
 2007 04  2968·6
 2007 05  9168·2
 2007 06  4067.9
 2007 07  3169.1
 2007 08  369.0
 2007 09  7767.6
 2007 10  8768·4
 2007 11  2869.1
 2007 12  3368·1
 2008 01 7867·9
 2008 02 366.8
 2008 03 6868·5
 2008 04 2770.0
 2008 05 3268.7
 2008 06 5766.8
 2008 07 5269.1
 2008 08 1666.2
 2008 09 267·5
 2008 10 4469·9
 2008 11 567.8
 2008 12 5667·8
 2009 01  7766.8
 2009 02  8367.9
 2009 03  7964.5
 2009 04  2968.0
 2009 05  6864·3
 2009 06  1861·0
 2009 07  4761.7
 2009 08  4358·5
 2009 09  1460·6
 2009 10  1862·6
 2009 11  1163·2
 2009 12  2865·9
 2010 01 7863.6
 2010 02 7764·8
 2010 03 9764.2
 2010 04 4162.7
 2010 05 4761.9
 2010 06 1460.2
 2010 07 5361·7
 2010 08 6461.2
 2010 09 3560.1
 2010 10 7458·6
 2010 11 5760.8
 2010 12 360·8
 2011 01  7962.6
 2011 02  2662·1
 2011 03  863·3
 2011 04  9065.2
 2011 05  4362·1
 2011 06  6361·2
 2011 07  3161.6
 2011 08  8261.9
 2011 09  1462.9
 2011 10  662·8
 2011 11  7763.1
 2011 12  6163·3
 2012 01 461.9
 2012 02 9763·6
 2012 03 2262·4
 2012 04 3263.5
 2012 05 5364.5
 2012 06 663·0
 2012 07 6563·9
 2012 08 2863.2
 2012 09 2264.8
 2012 10 2863·5
 2012 11 3362.1
 2012 12 665.0
 2013 01  163.9
 2013 02  8265.8
 2013 03  7563.7
 2013 04  4664.2
 2013 05  068.2
 2013 06  1065·3


 2013 07  6765.3
 2013 08  5664·2
 2013 09  6063·8
 2013 10  8464·0
 2013 11  965·2
 2013 12  6766·2
 2014 01 4264.5
 2014 02 9767·4
 2014 03 2766·7
 2014 04 3667·4
 2014 05 3469.2
 2014 06 6766·4
 2014 07 7268.6
 2014 08 4470.5
 2014 09 4969·3
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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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