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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 9461·0
 1994 12 6060·2
 1995 01  3056.3
 1995 02  8256.1
 1995 03  1956.6
 1995 04  4355·0
 1995 05  6155·9
 1995 06  957.9
 1995 07  459.1
 1995 08  1960·1
 1995 09  8758.7
 1995 10  2957·7
 1995 11  9958·2
 1995 12  6857·9
 1996 01 2157·4
 1996 02 8559.7
 1996 03 8060·4
 1996 04 9861.4
 1996 05 061·0
 1996 06 4662.8
 1996 07 4861.6
 1996 08 4062·7
 1996 09 8763.4
 1996 10 863·9
 1996 11 2759·4
 1996 12 5163·9
 1997 01  7165·2
 1997 02  8863.5
 1997 03  6866·3
 1997 04  1264.4
 1997 05  6362·8
 1997 06  3262·1
 1997 07  4662·3
 1997 08  3064.5
 1997 09  363·7
 1997 10  864·1
 1997 11  6363·6
 1997 12  3763.0
 1998 01 5264·5
 1998 02 1064·6
 1998 03 4268·0
 1998 04 8966·0
 1998 05 067.5
 1998 06 5867·6
 1998 07 3665.2
 1998 08 6963.0
 1998 09 5867.5
 1998 10 9568.0
 1998 11 1867·1
 1998 12 8268·3
 1999 01  6467·6
 1999 02  9265.7
 1999 03  8968·3
 1999 04  6066·2
 1999 05  8268.1
 1999 06  4167.2
 1999 07  7664·3
 1999 08  6063.8
 1999 09  9964·1
 1999 10  6262.0
 1999 11  2763·0
 1999 12  6365.7
 2000 01 2965·9
 2000 02 066·9
 2000 03 1968.9
 2000 04 7771.2
 2000 05 968·3
 2000 06 2368·0
 2000 07 5268·8
 2000 08 3365.6
 2000 09 166·1
 2000 10 2564.0
 2000 11 5259.5
 2000 12 8766·3
 2001 01  9564·5
 2001 02  2663.8
 2001 03  6866·3
 2001 04  2166.6
 2001 05  268.3
 2001 06  7066.2
 2001 07  7665.7
 2001 08  4264·2
 2001 09  6265.9
 2001 10  2663.8
 2001 11  7758·1
 2001 12  8159.0
 2002 01 3559.0
 2002 02 8858·4
 2002 03 9563·9
 2002 04 9662.7
 2002 05 1163·8
 2002 06 7563.9
 2002 07 8264·4
 2002 08 6763·3
 2002 09 366·0
 2002 10 3266·2
 2002 11 1361.6
 2002 12 164.2
 2003 01  4863·5
 2003 02  2762·6
 2003 03  8863·5
 2003 04  3164·2
 2003 05  959.3
 2003 06  5561.7
 2003 07  3262.3
 2003 08  1164·9
 2003 09  7468·7
 2003 10  3470·0
 2003 11  9665·9
 2003 12  2669.1
 2004 01 5668.6
 2004 02 1063·4
 2004 03 5566.9
 2004 04 8068·1
 2004 05 9264.7
 2004 06 5061.0
 2004 07 1065.2
 2004 08 567.2
 2004 09 4769·0
 2004 10 5065·2
 2004 11 8663·6
 2004 12 5964·9
 2005 01  764.8
 2005 02  2864·9
 2005 03  3368·2
 2005 04  2268.8
 2005 05  8571.9
 2005 06  2868·2
 2005 07  2764.7
 2005 08  266.9
 2005 09  2063.5
 2005 10  2166.4
 2005 11  6966·2
 2005 12  3064.8
 2006 01 7468·0
 2006 02 9969·2
 2006 03 8370.1
 2006 04 6371·4
 2006 05 3570.1
 2006 06 8168.7
 2006 07 1964.0
 2006 08 8264·1
 2006 09 1764·7
 2006 10 1367·8
 2006 11 5565·8
 2006 12 9462·6
 2007 01  5663.5
 2007 02  6362.9
 2007 03  8967·7
 2007 04  3168.6
 2007 05  1668·2
 2007 06  2667·9
 2007 07  4769.1
 2007 08  4969·0
 2007 09  8567.6
 2007 10  2068.4
 2007 11  8069.1
 2007 12  3068·1
 2008 01 7567.9
 2008 02 8966.8
 2008 03 6268.5
 2008 04 8070.0
 2008 05 2568·7
 2008 06 466.8
 2008 07 9569·1
 2008 08 3266.2
 2008 09 9867.5
 2008 10 5769.9
 2008 11 467.8
 2008 12 4167·8
 2009 01  8066·8
 2009 02  6867·9
 2009 03  3964.5
 2009 04  9068·0
 2009 05  8664·3
 2009 06  8261.0
 2009 07  7561.7
 2009 08  8658·5
 2009 09  5360·6
 2009 10  6662·6
 2009 11  1363.2
 2009 12  5865·9
 2010 01 4463.6
 2010 02 1764.8
 2010 03 7964.2
 2010 04 6662·7
 2010 05 4761.9
 2010 06 5160·2
 2010 07 2261·7
 2010 08 8961.2
 2010 09 7460.1
 2010 10 1558.6
 2010 11 1860.8
 2010 12 3560.8
 2011 01  6462.6
 2011 02  7662.1
 2011 03  6863.3
 2011 04  3565·2
 2011 05  8062.1
 2011 06  3061·2
 2011 07  9661.6
 2011 08  4761·9
 2011 09  962·9
 2011 10  9462.8
 2011 11  5463.1
 2011 12  5163·3
 2012 01 6461.9
 2012 02 1463.6
 2012 03 1662.4
 2012 04 5463.5
 2012 05 8364·5
 2012 06 5963·0
 2012 07 8463·9
 2012 08 8863.2
 2012 09 3064.8
 2012 10 2263·5
 2012 11 8162·1
 2012 12 1065·0
 2013 01  9163·9
 2013 02  2265.8
 2013 03  6063.7
 2013 04  064.2
 2013 05  8168.2
 2013 06  565.3
 2013 07  9565·3
 2013 08  6764.2
 2013 09  3663.8
 2013 10  3864.0
 2013 11  8665·2
 2013 12  4166·2
 2014 01 2064·5
 2014 02 1767·4
 2014 03 5966.7
 2014 04 7967.4
 2014 05 2069.2
 2014 06 6066·4
 2014 07 6568.6
 2014 08 6370.5
 2014 09 5069.3
 2014 10 1169·7
 2014 11 7871·5
 2014 12 9971.5
 2015 01  4770.9
 2015 02  4067.8
 2015 03  9968.0
 2015 04  2070·2


 2015 05  7471·5
 2015 06  4171·8
 2015 07  5472.2
 2015 08  8070·6
 2015 09  1967.3
 2015 10  3370·1
 2015 11  9369·6
 2015 12  6468.3
 2016 01 9668·8
 2016 02 5968.5
 2016 03 9267·0
 2016 04 7669.1
 2016 05 4167.9
 2016 06 9069.5
 2016 07 5067.0
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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

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

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