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 Series Title: Unemployment Level: 35-39 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 4343.
 2000 02 9155.
 2000 03 6757·
 2000 04 9240.
 2000 05 1244·
 2000 06 7460·
 2000 07 2838·
 2000 08 5354·
 2000 09 1044·
 2000 10 1772·
 2000 11 5175.
 2000 12 7484·
 2001 01  8778·
 2001 02  365·
 2001 03  5181.
 2001 04  155.
 2001 05  1929·
 2001 06  3868.
 2001 07  6555.
 2001 08  343·
 2001 09  661·
 2001 10  5476·
 2001 11  5678.
 2001 12  7380·
 2002 01 7384·
 2002 02 856·
 2002 03 1255.
 2002 04 3069.
 2002 05 7176·
 2002 06 8170.
 2002 07 4670.
 2002 08 2087·
 2002 09 7671.
 2002 10 7988.
 2002 11 9696·
 2002 12 1179.
 2003 01  8688.
 2003 02  36100·
 2003 03  24118.
 2003 04  9666·
 2003 05  2964·
 2003 06  679.
 2003 07  1981.
 2003 08  9691·
 2003 09  5440.
 2003 10  7281·
 2003 11  9394·
 2003 12  5592·
 2004 01 3799·
 2004 02 4078.
 2004 03 8591.
 2004 04 4177·
 2004 05 7846·
 2004 06 4267.
 2004 07 5645·
 2004 08 4976.
 2004 09 370.
 2004 10 3581·
 2004 11 9668.
 2004 12 9776.
 2005 01  6180.
 2005 02  082·
 2005 03  1773·
 2005 04  3159.
 2005 05  2968.
 2005 06  4571.
 2005 07  5747·
 2005 08  1838·
 2005 09  636.
 2005 10  9964.
 2005 11  7873·
 2005 12  5464·
 2006 01 1973.
 2006 02 2162·
 2006 03 7076.
 2006 04 5858·
 2006 05 1750·
 2006 06 9243·
 2006 07 4351.
 2006 08 7346.
 2006 09 7658·
 2006 10 1846.
 2006 11 3767.
 2006 12 6899·
 2007 01  9682·
 2007 02  3277·
 2007 03  1571·
 2007 04  3959·
 2007 05  362·
 2007 06  8955.
 2007 07  6466.
 2007 08  339.
 2007 09  4771·
 2007 10  7270.
 2007 11  9796·
 2007 12  6101·
 2008 01 366·
 2008 02 8758·
 2008 03 5173·
 2008 04 1673·
 2008 05 7296·
 2008 06 6596·
 2008 07 9179.
 2008 08 2799.
 2008 09 79104.
 2008 10 64125·
 2008 11 4133.
 2008 12 59195·
 2009 01  75188·
 2009 02  65202.
 2009 03  2223·
 2009 04  55174.
 2009 05  35175.
 2009 06  74179.
 2009 07  24186·
 2009 08  85226.
 2009 09  60198.
 2009 10  24210·
 2009 11  32210·
 2009 12  43231·
 2010 01 74269.
 2010 02 70239·
 2010 03 14233·
 2010 04 49178.
 2010 05 28169·
 2010 06 95140.
 2010 07 84121.
 2010 08 45156.
 2010 09 98158·
 2010 10 6181.
 2010 11 79158.
 2010 12 2207·
 2011 01  84187.
 2011 02  33175·
 2011 03  62155·
 2011 04  14135.
 2011 05  11152·
 2011 06  33128.
 2011 07  21149.
 2011 08  99146.
 2011 09  30160.
 2011 10  89181·
 2011 11  69134.
 2011 12  2168.
 2012 01 15185·
 2012 02 6160.
 2012 03 43160·
 2012 04 92153.
 2012 05 69150·
 2012 06 17133.
 2012 07 796·
 2012 08 63103·
 2012 09 1595·
 2012 10 78105.
 2012 11 48102.
 2012 12 34124.
 2013 01  5134·
 2013 02  71170·
 2013 03  80123.
 2013 04  49115.
 2013 05  13132·
 2013 06  1104.
 2013 07  40106·
 2013 08  7886·
 2013 09  41130.
 2013 10  2121·
 2013 11  91120.
 2013 12  15127.
 2014 01 13134·
 2014 02 30100.
 2014 03 21109·
 2014 04 7993·
 2014 05 79108·
 2014 06 6576·
 2014 07 4497.
 2014 08 1393·
 2014 09 1652.
 2014 10 1684.
 2014 11 9582·
 2014 12 8899.
 2015 01  24116.
 2015 02  13105·
 2015 03  4081·
 2015 04  9670.
 2015 05  2856.
 2015 06  1363.
 2015 07  6590.
 2015 08  5860.
 2015 09  7887·
 2015 10  9861.
 2015 11  8469·
 2015 12  1886·
 2016 01 50101·
 2016 02 7463.
 2016 03 3464·
 2016 04 4482·
 2016 05 4450·
 2016 06 7462·
 2016 07 7949·
 2016 08 3151.
 2016 09 8578.
 2016 10 5363.
 2016 11 556·
 2016 12 9867·
 2017 01  2599.
 2017 02  9472.
 2017 03  2771·
 2017 04  8947.
 2017 05  3845·
 2017 06  266.
 2017 07  8196·
 2017 08  7364·
 2017 09  2566·


 2017 10  1053·
 2017 11  3258.
 2017 12  4452·
 2018 01 1192.
 2018 02 7579·
 2018 03 6685.
 2018 04 2225.
 2018 05 4659·
 2018 06 7768·
 2018 07 9626.
 2018 08 5145.
 2018 09 664·
 2018 10 2479·
 2018 11 6269·
 2018 12 9967·
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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: 35-39 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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