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 Series Title: Unemployment Level: 35-39 years, Hispanic or Latino Men: NSA
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 2000 01 7643·
 2000 02 7355.
 2000 03 7857·
 2000 04 8240·
 2000 05 9944.
 2000 06 4560·
 2000 07 3938.
 2000 08 3054·
 2000 09 4544·
 2000 10 7272·
 2000 11 5875.
 2000 12 3284.
 2001 01  6478·
 2001 02  3665·
 2001 03  4681.
 2001 04  3355·
 2001 05  3129.
 2001 06  4368·
 2001 07  4255·
 2001 08  343.
 2001 09  4761.
 2001 10  2476.
 2001 11  1078·
 2001 12  3580.
 2002 01 3884·
 2002 02 3656.
 2002 03 3555.
 2002 04 4969.
 2002 05 5276.
 2002 06 6270·
 2002 07 3370.
 2002 08 8887.
 2002 09 6771·
 2002 10 788.
 2002 11 4096.
 2002 12 2179.
 2003 01  8288·
 2003 02  3100·
 2003 03  19118·
 2003 04  4466.
 2003 05  2364.
 2003 06  779·
 2003 07  5981·
 2003 08  7591.
 2003 09  4040.
 2003 10  181.
 2003 11  7294·
 2003 12  5892·
 2004 01 899·
 2004 02 9078·
 2004 03 9691.
 2004 04 6277.
 2004 05 2846.
 2004 06 867·
 2004 07 9445·
 2004 08 8276·
 2004 09 2670·
 2004 10 1081.
 2004 11 5368.
 2004 12 3676·
 2005 01  5180·
 2005 02  7882·
 2005 03  8873.
 2005 04  6959·
 2005 05  7968.
 2005 06  1871.
 2005 07  3547·
 2005 08  5038.
 2005 09  1136.
 2005 10  6364·
 2005 11  5773·
 2005 12  7364·
 2006 01 7173.
 2006 02 6962.
 2006 03 4376.
 2006 04 5758·
 2006 05 1150.
 2006 06 1743.
 2006 07 651.
 2006 08 4746·
 2006 09 558.
 2006 10 1546.
 2006 11 8267.
 2006 12 1199.
 2007 01  5582·
 2007 02  9477·
 2007 03  3671·
 2007 04  4359.
 2007 05  8462·
 2007 06  1055·
 2007 07  5466·
 2007 08  6339.
 2007 09  4571·
 2007 10  4570.
 2007 11  5196·
 2007 12  16101.
 2008 01 1266·
 2008 02 658.
 2008 03 6373.
 2008 04 6973·
 2008 05 8596·
 2008 06 2596.
 2008 07 5479·
 2008 08 1799·
 2008 09 90104.
 2008 10 57125·
 2008 11 11133.
 2008 12 79195·
 2009 01  78188·
 2009 02  86202.
 2009 03  48223·
 2009 04  0174.
 2009 05  23175·
 2009 06  17179.
 2009 07  2186.
 2009 08  49226.
 2009 09  27198·
 2009 10  81210.
 2009 11  36210.
 2009 12  19231·
 2010 01 14269.
 2010 02 37239·
 2010 03 39233·
 2010 04 30178·
 2010 05 35169.
 2010 06 65140.
 2010 07 22121·
 2010 08 26156.
 2010 09 65158·
 2010 10 71181·
 2010 11 24158.
 2010 12 76207·
 2011 01  5187·
 2011 02  89175·
 2011 03  8155·
 2011 04  75135·
 2011 05  80152.
 2011 06  73128.
 2011 07  62149.
 2011 08  41146·
 2011 09  41160.
 2011 10  6181·
 2011 11  98134.
 2011 12  18168.
 2012 01 62185·
 2012 02 95160.
 2012 03 55160·
 2012 04 76153.
 2012 05 45150.
 2012 06 71133·
 2012 07 9596·
 2012 08 9103·
 2012 09 1495·
 2012 10 91105.
 2012 11 6102·
 2012 12 36124·
 2013 01  20134·
 2013 02  36170.
 2013 03  1123.
 2013 04  1115·
 2013 05  39132.
 2013 06  13104.
 2013 07  19106·
 2013 08  7486·
 2013 09  71130·
 2013 10  54121.
 2013 11  21120.
 2013 12  47127.
 2014 01 41134·
 2014 02 16100.
 2014 03 96109.
 2014 04 4293·
 2014 05 99108.
 2014 06 7976·
 2014 07 5797·
 2014 08 193·
 2014 09 2152.
 2014 10 5184·
 2014 11 4182.
 2014 12 9399.
 2015 01  8116.
 2015 02  63105·
 2015 03  1281.
 2015 04  1470.
 2015 05  8556.
 2015 06  7263·
 2015 07  5790·
 2015 08  8260·
 2015 09  287·
 2015 10  5961.
 2015 11  8969.
 2015 12  4186·
 2016 01 34101.
 2016 02 3263.
 2016 03 4664·
 2016 04 6082·
 2016 05 8250·
 2016 06 2262.
 2016 07 9249·
 2016 08 3451.
 2016 09 7278.
 2016 10 8563·
 2016 11 1356.
 2016 12 8267·
 2017 01  5399·
 2017 02  372·
 2017 03  2371.
 2017 04  4747.
 2017 05  245.
 2017 06  8366·


 2017 07  6096·
 2017 08  064·
 2017 09  1866·
 2017 10  5653.
 2017 11  8758·
 2017 12  3352·
 2018 01 2692·
 2018 02 8079.
 2018 03 9185·
 2018 04 6725·
 2018 05 7959.
 2018 06 3568·
 2018 07 8526·
 2018 08 4545·
 2018 09 4964·
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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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