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 Series Title: Unemployment Level: 18 years and over, Hispanic or Latino: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2008 12 251977.
 2009 01  132331·
 2009 02  352551.
 2009 03  72600.
 2009 04  692314·
 2009 05  622504.
 2009 06  292567·
 2009 07  442696·
 2009 08  612749·
 2009 09  912608·
 2009 10  62660·
 2009 11  612656.
 2009 12  512766·
 2010 01 823020·
 2010 02 772926.
 2010 03 22905·
 2010 04 142574.
 2010 05 402498·
 2010 06 822671·
 2010 07 362643·
 2010 08 502572.
 2010 09 992627·
 2010 10 822629·
 2010 11 582817·
 2010 12 862884·
 2011 01  132923.
 2011 02  662710·
 2011 03  852581.
 2011 04  722481·
 2011 05  652414·
 2011 06  472480.
 2011 07  642427·
 2011 08  822422.
 2011 09  622411.
 2011 10  622454.
 2011 11  622483·
 2011 12  182500·
 2012 01 362685.
 2012 02 752652.
 2012 03 752480.
 2012 04 42251.
 2012 05 422424·
 2012 06 732531·
 2012 07 202377·
 2012 08 922327.
 2012 09 622194·
 2012 10 692298.
 2012 11 422281·
 2012 12 562256.
 2013 01  42475.
 2013 02  12421·
 2013 03  112195·
 2013 04  971966·
 2013 05  982010.
 2013 06  322144·
 2013 07  202181.
 2013 08  402167·
 2013 09  22019.
 2013 10  502102.
 2013 11  892058.
 2013 12  361970·
 2014 01 972169·
 2014 02 682098.
 2014 03 611986.
 2014 04 601618·
 2014 05 891733·
 2014 06 231845·
 2014 07 71844·
 2014 08 121787.
 2014 09 111585·
 2014 10 791578·
 2014 11 191611.
 2014 12 181552.
 2015 01  191863·
 2015 02  231800.
 2015 03  181735·
 2015 04  291585.
 2015 05  941573·
 2015 06  681661·
 2015 07  471749·
 2015 08  191667·
 2015 09  441483·
 2015 10  531478·
 2015 11  751605.
 2015 12  891569.
 2016 01 01672·
 2016 02 401483.
 2016 03 971475.
 2016 04 641436·
 2016 05 181296.
 2016 06 171508·
 2016 07 321426.
 2016 08 961451·
 2016 09 801572·
 2016 10 961385·
 2016 11 231440.
 2016 12 581490·
 2017 01  931697·
 2017 02  171540.
 2017 03  411327·
 2017 04  521184.
 2017 05  891224.
 2017 06  411228·
 2017 07  781367.
 2017 08  31326·
 2017 09  231268.


 2017 10  561177·
 2017 11  551210·
 2017 12  611309.
 2018 01 781525.
 2018 02 761423.
 2018 03 161398·
 2018 04 31152·
 2018 05 611180·
 2018 06 381229·
 2018 07 291233.
 2018 08 271267.
 2018 09 31157·
 2018 10 61129·
 2018 11 881188.
 2018 12 591189·
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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: 18 years and over, Hispanic or Latino: 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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