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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 8743.
 2000 02 8155.
 2000 03 9357.
 2000 04 9140·
 2000 05 6244.
 2000 06 9860.
 2000 07 9338.
 2000 08 7054·
 2000 09 3444·
 2000 10 4572.
 2000 11 2575.
 2000 12 8084.
 2001 01  5478·
 2001 02  465·
 2001 03  281.
 2001 04  6455.
 2001 05  9729.
 2001 06  8068.
 2001 07  6255·
 2001 08  9143·
 2001 09  6561·
 2001 10  676·
 2001 11  6878·
 2001 12  5680·
 2002 01 8184.
 2002 02 3956·
 2002 03 855.
 2002 04 7769.
 2002 05 9776.
 2002 06 5970.
 2002 07 9470.
 2002 08 9887.
 2002 09 8871.
 2002 10 7488·
 2002 11 6496.
 2002 12 8979.
 2003 01  5488·
 2003 02  15100.
 2003 03  83118·
 2003 04  4466.
 2003 05  2164·
 2003 06  3979.
 2003 07  3681.
 2003 08  8391·
 2003 09  3940·
 2003 10  2881·
 2003 11  3794·
 2003 12  4892.
 2004 01 8399·
 2004 02 8778·
 2004 03 2591·
 2004 04 1077.
 2004 05 5546·
 2004 06 5067·
 2004 07 6245·
 2004 08 6276·
 2004 09 7970.
 2004 10 7181.
 2004 11 3568·
 2004 12 2476.
 2005 01  580·
 2005 02  3482.
 2005 03  5873.
 2005 04  3959·
 2005 05  968·
 2005 06  4571·
 2005 07  6947·
 2005 08  7838.
 2005 09  9236.
 2005 10  3564.
 2005 11  3073·
 2005 12  3364·
 2006 01 7973·
 2006 02 6062.
 2006 03 3076.
 2006 04 2558·
 2006 05 2050·
 2006 06 443.
 2006 07 8151.
 2006 08 9646·
 2006 09 9058.
 2006 10 7146·
 2006 11 2167.
 2006 12 1899·
 2007 01  9182.
 2007 02  9577.
 2007 03  1371·
 2007 04  8359·
 2007 05  4762·
 2007 06  3155.
 2007 07  4566.
 2007 08  1039·
 2007 09  871·
 2007 10  6170.
 2007 11  3096·
 2007 12  45101.
 2008 01 5166.
 2008 02 9258·
 2008 03 673·
 2008 04 5573·
 2008 05 7696·
 2008 06 5696·
 2008 07 3679·
 2008 08 3699·
 2008 09 7104·
 2008 10 8125.
 2008 11 7133·
 2008 12 6195.
 2009 01  96188·
 2009 02  32202·
 2009 03  32223·
 2009 04  9174·
 2009 05  18175·
 2009 06  32179·
 2009 07  50186.
 2009 08  15226.
 2009 09  72198.
 2009 10  42210.
 2009 11  23210.
 2009 12  18231·
 2010 01 86269·
 2010 02 17239·
 2010 03 39233.
 2010 04 36178·
 2010 05 8169·
 2010 06 40140·
 2010 07 11121·
 2010 08 15156.
 2010 09 14158·
 2010 10 17181·
 2010 11 77158.
 2010 12 22207·
 2011 01  5187·
 2011 02  79175.
 2011 03  0155·
 2011 04  53135·
 2011 05  6152·
 2011 06  83128.
 2011 07  67149·
 2011 08  27146·
 2011 09  68160·
 2011 10  12181.
 2011 11  92134.
 2011 12  86168.
 2012 01 66185.
 2012 02 70160·
 2012 03 12160·
 2012 04 2153.
 2012 05 0150·
 2012 06 91133.
 2012 07 9196·
 2012 08 67103.
 2012 09 9595.
 2012 10 31105·
 2012 11 16102.
 2012 12 2124·
 2013 01  3134.
 2013 02  71170.
 2013 03  0123.
 2013 04  49115.
 2013 05  98132.
 2013 06  18104·
 2013 07  81106·
 2013 08  7986.
 2013 09  80130·
 2013 10  4121·
 2013 11  22120·
 2013 12  85127.
 2014 01 76134·
 2014 02 85100.
 2014 03 10109·
 2014 04 8793.
 2014 05 36108·
 2014 06 4376.
 2014 07 6097·
 2014 08 2893.
 2014 09 3552.
 2014 10 8584·
 2014 11 882.
 2014 12 7899·
 2015 01  73116·
 2015 02  42105·
 2015 03  1781.
 2015 04  3170.
 2015 05  7556·
 2015 06  7163·
 2015 07  7690.
 2015 08  760·
 2015 09  9387.
 2015 10  5461·
 2015 11  9769·
 2015 12  4886·
 2016 01 2101.
 2016 02 9663.
 2016 03 1864·
 2016 04 2582·
 2016 05 150·
 2016 06 3162.
 2016 07 249·
 2016 08 3151·
 2016 09 1778.
 2016 10 1463·
 2016 11 3756·
 2016 12 8667.
 2017 01  9999·


 2017 02  2772.
 2017 03  3671.
 2017 04  3447.
 2017 05  2445.
 2017 06  7766.
 2017 07  3696·
 2017 08  4464.
 2017 09  9166.
 2017 10  9553·
 2017 11  258·
 2017 12  1052.
 2018 01 2692.
 2018 02 3979·
 2018 03 1985.
 2018 04 5125.
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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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