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 Series Title: Unemployment Level: 45-49 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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 2000 01 8530.
 2000 02 4826·
 2000 03 7124·
 2000 04 116.
 2000 05 817·
 2000 06 6521·
 2000 07 4724·
 2000 08 5829·
 2000 09 8417.
 2000 10 6822·
 2000 11 1218·
 2000 12 223.
 2001 01  6541.
 2001 02  3928·
 2001 03  7720.
 2001 04  7618.
 2001 05  2613.
 2001 06  8425·
 2001 07  8230·
 2001 08  5047·
 2001 09  6623·
 2001 10  3522·
 2001 11  8934·
 2001 12  1734·
 2002 01 1246·
 2002 02 4841.
 2002 03 8737.
 2002 04 9746.
 2002 05 1337·
 2002 06 631·
 2002 07 8645.
 2002 08 3443·
 2002 09 4649·
 2002 10 1449·
 2002 11 2758.
 2002 12 9766·
 2003 01  1072·
 2003 02  565.
 2003 03  7176.
 2003 04  8070·
 2003 05  3271.
 2003 06  3568.
 2003 07  753.
 2003 08  252·
 2003 09  6050.
 2003 10  8640.
 2003 11  4849·
 2003 12  843.
 2004 01 7258·
 2004 02 6469·
 2004 03 3064·
 2004 04 6652.
 2004 05 6657·
 2004 06 138·
 2004 07 1845·
 2004 08 7155·
 2004 09 6915.
 2004 10 5344·
 2004 11 9954.
 2004 12 4251.
 2005 01  3156·
 2005 02  353.
 2005 03  8634.
 2005 04  2320·
 2005 05  2835.
 2005 06  5724·
 2005 07  1737.
 2005 08  8329·
 2005 09  5954.
 2005 10  4744.
 2005 11  5463·
 2005 12  1642.
 2006 01 5050.
 2006 02 2942.
 2006 03 8637.
 2006 04 4218·
 2006 05 5125.
 2006 06 8443·
 2006 07 2644.
 2006 08 440·
 2006 09 3922.
 2006 10 2022.
 2006 11 1129·
 2006 12 7231·
 2007 01  1260·
 2007 02  6864.
 2007 03  567·
 2007 04  4049.
 2007 05  9856.
 2007 06  8635·
 2007 07  9558.
 2007 08  2640·
 2007 09  4543.
 2007 10  5334.
 2007 11  9341·
 2007 12  7682·
 2008 01 3060·
 2008 02 7781·
 2008 03 3970.
 2008 04 5872.
 2008 05 5265·
 2008 06 9184.
 2008 07 9554.
 2008 08 6753.
 2008 09 3879.
 2008 10 4988·
 2008 11 4996.
 2008 12 21104·
 2009 01  38121.
 2009 02  35116.
 2009 03  1396·
 2009 04  6497.
 2009 05  2692·
 2009 06  54119.
 2009 07  26166.
 2009 08  67170.
 2009 09  4158.
 2009 10  38124·
 2009 11  50150·
 2009 12  22175·
 2010 01 97198·
 2010 02 45159.
 2010 03 73148·
 2010 04 50119.
 2010 05 54114.
 2010 06 54124.
 2010 07 9127.
 2010 08 94147.
 2010 09 53159·
 2010 10 75152.
 2010 11 95194.
 2010 12 23188.
 2011 01  92185·
 2011 02  36164·
 2011 03  94120·
 2011 04  32136.
 2011 05  98126·
 2011 06  97113·
 2011 07  94113·
 2011 08  39116·
 2011 09  2088.
 2011 10  37112.
 2011 11  8121·
 2011 12  89138·
 2012 01 34154·
 2012 02 64120·
 2012 03 73135·
 2012 04 52102.
 2012 05 41101·
 2012 06 10112·
 2012 07 53132.
 2012 08 20140.
 2012 09 66117.
 2012 10 3196.
 2012 11 35110.
 2012 12 13112·
 2013 01  59123.
 2013 02  899·
 2013 03  3376·
 2013 04  76101·
 2013 05  9675.
 2013 06  4955.
 2013 07  8488.
 2013 08  7773·
 2013 09  7753.
 2013 10  84119·
 2013 11  51100·
 2013 12  1162·
 2014 01 2877·
 2014 02 7158.
 2014 03 2358.
 2014 04 9782.
 2014 05 9864·
 2014 06 9259·
 2014 07 1173.
 2014 08 7989·
 2014 09 6371·
 2014 10 5264·
 2014 11 5448·
 2014 12 2655·
 2015 01  2590·
 2015 02  8449·
 2015 03  1455·
 2015 04  3163.
 2015 05  755·
 2015 06  4470.
 2015 07  8178.
 2015 08  1684·
 2015 09  6074.
 2015 10  1354·
 2015 11  6552.
 2015 12  2357·
 2016 01 6185·
 2016 02 063.
 2016 03 690·
 2016 04 2191.
 2016 05 858·
 2016 06 3448.
 2016 07 6755·
 2016 08 550·
 2016 09 2848.
 2016 10 7367·
 2016 11 3445.
 2016 12 9451·
 2017 01  7275·
 2017 02  9825·
 2017 03  2262·
 2017 04  3336·
 2017 05  1333·
 2017 06  1633·


 2017 07  6737·
 2017 08  8953.
 2017 09  5336.
 2017 10  5917·
 2017 11  3440.
 2017 12  5874·
 2018 01 1858·
 2018 02 8463·
 2018 03 952·
 2018 04 5828·
 2018 05 5738·
 2018 06 7143·
 2018 07 649·
 2018 08 3433·
 2018 09 4620.
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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: Unemployment Level: 45-49 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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