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 Series Title: Employment Level: Multiple Jobholders 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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 1994 01 14400·
 1994 02 79400.
 1994 03 26438.
 1994 04 56398.
 1994 05 97412.
 1994 06 77395.
 1994 07 28291·
 1994 08 10377·
 1994 09 65420.
 1994 10 92408.
 1994 11 49404.
 1994 12 81386.
 1995 01  68398·
 1995 02  6414.
 1995 03  4461·
 1995 04  14437.
 1995 05  83400·
 1995 06  25446·
 1995 07  28394·
 1995 08  78434·
 1995 09  8453.
 1995 10  82446·
 1995 11  86452.
 1995 12  66426.
 1996 01 71449.
 1996 02 32500.
 1996 03 65482·
 1996 04 99429·
 1996 05 20458.
 1996 06 57444.
 1996 07 79433·
 1996 08 19380·
 1996 09 32405.
 1996 10 65449.
 1996 11 64407·
 1996 12 97466·
 1997 01  6429·
 1997 02  87521·
 1997 03  84534.
 1997 04  26509.
 1997 05  69518·
 1997 06  78516·
 1997 07  27485·
 1997 08  26452.
 1997 09  71487·
 1997 10  22472·
 1997 11  6492.
 1997 12  40516.
 1998 01 86539·
 1998 02 24507·
 1998 03 58542.
 1998 04 38539·
 1998 05 16596.
 1998 06 17506·
 1998 07 47446·
 1998 08 15451·
 1998 09 85400.
 1998 10 56440·
 1998 11 60530·
 1998 12 88543·
 1999 01  45563.
 1999 02  25575·
 1999 03  10529·
 1999 04  2429.
 1999 05  70494·
 1999 06  28545·
 1999 07  36513.
 1999 08  27456·
 1999 09  62404·
 1999 10  98405·
 1999 11  99478.
 1999 12  57491.
 2000 01 44576.
 2000 02 91570.
 2000 03 88546·
 2000 04 10498.
 2000 05 68504.
 2000 06 90537·
 2000 07 16519·
 2000 08 31514.
 2000 09 10546·
 2000 10 1564·
 2000 11 21470.
 2000 12 89546.
 2001 01  69504·
 2001 02  54531·
 2001 03  66574·
 2001 04  78568·
 2001 05  71557·
 2001 06  8570.
 2001 07  38585.
 2001 08  17584.
 2001 09  66565·
 2001 10  44492.
 2001 11  50501.
 2001 12  50585.
 2002 01 30536·
 2002 02 68619.
 2002 03 40614.
 2002 04 47631·
 2002 05 62625·
 2002 06 11613·
 2002 07 72619·
 2002 08 2454·
 2002 09 90519·
 2002 10 32564.
 2002 11 33548.
 2002 12 33607·
 2003 01  62619.
 2003 02  10627.
 2003 03  35552.
 2003 04  86590.
 2003 05  54585·
 2003 06  54583.
 2003 07  18567·
 2003 08  28533·
 2003 09  68547.
 2003 10  94527.
 2003 11  43420.
 2003 12  55496·
 2004 01 27580·
 2004 02 87622·
 2004 03 98574·
 2004 04 85634.
 2004 05 82617·
 2004 06 15577.
 2004 07 98638.
 2004 08 62635.
 2004 09 10625.
 2004 10 84650.
 2004 11 78572.
 2004 12 57616·
 2005 01  9567.
 2005 02  27612.
 2005 03  3610·
 2005 04  61591.
 2005 05  6532.
 2005 06  99561·
 2005 07  60563·
 2005 08  96575·
 2005 09  51536·
 2005 10  82585.
 2005 11  62645.
 2005 12  5604·
 2006 01 20488.
 2006 02 84569.
 2006 03 47601·
 2006 04 57573.
 2006 05 12619·
 2006 06 35595.
 2006 07 78541·
 2006 08 47581.
 2006 09 53653·
 2006 10 92669.
 2006 11 42667·
 2006 12 93616·
 2007 01  94617·
 2007 02  38646·
 2007 03  54579.
 2007 04  39597.
 2007 05  10620.
 2007 06  78583·
 2007 07  49616.
 2007 08  55588.
 2007 09  1660.
 2007 10  44753·
 2007 11  92738.
 2007 12  35655·
 2008 01 93610.
 2008 02 93690·
 2008 03 71581·
 2008 04 99611.
 2008 05 36592.
 2008 06 6632·
 2008 07 97656·
 2008 08 89726.
 2008 09 6790.
 2008 10 91743·
 2008 11 10725·
 2008 12 76701·
 2009 01  2585.
 2009 02  78744.
 2009 03  71665.
 2009 04  53725·
 2009 05  51600·
 2009 06  25608·
 2009 07  70635.
 2009 08  40527·
 2009 09  2695.
 2009 10  13618·
 2009 11  18710·
 2009 12  80607·
 2010 01 32588·
 2010 02 48712·
 2010 03 54690·
 2010 04 44676.
 2010 05 39614.
 2010 06 63590·
 2010 07 40616·
 2010 08 24624·
 2010 09 51645.
 2010 10 14642·
 2010 11 64627·
 2010 12 41630.
 2011 01  17566.
 2011 02  82648.
 2011 03  40598.
 2011 04  37614·
 2011 05  12664.
 2011 06  75564·
 2011 07  6588.
 2011 08  84547.
 2011 09  38603.
 2011 10  23659·
 2011 11  23641.
 2011 12  74640·
 2012 01 19640·
 2012 02 84704·
 2012 03 80681·
 2012 04 26691.
 2012 05 6689.
 2012 06 40559.
 2012 07 90660·
 2012 08 86646.
 2012 09 74693.
 2012 10 96639·
 2012 11 91667·
 2012 12 21750·
 2013 01  23640·
 2013 02  84743.
 2013 03  46757.
 2013 04  27717.
 2013 05  80751·
 2013 06  62716·
 2013 07  42751.
 2013 08  22674.
 2013 09  93713·
 2013 10  10679·
 2013 11  92684·
 2013 12  50784·
 2014 01 40729·
 2014 02 36832·
 2014 03 35754.
 2014 04 81765·
 2014 05 20862.
 2014 06 71760·
 2014 07 33744.
 2014 08 9681.
 2014 09 58756.
 2014 10 71860.
 2014 11 74824.
 2014 12 52784·
 2015 01  5742.
 2015 02  19717.
 2015 03  71786.
 2015 04  56758.
 2015 05  36771·
 2015 06  20818·
 2015 07  62786.
 2015 08  88770·
 2015 09  52773·
 2015 10  7790.
 2015 11  9792·
 2015 12  44876·
 2016 01 79760.
 2016 02 37823·
 2016 03 2794·
 2016 04 43781.
 2016 05 65685.
 2016 06 90714.
 2016 07 52754.
 2016 08 27845.
 2016 09 88961.
 2016 10 74844·
 2016 11 97969·
 2016 12 68910.
 2017 01  47832.
 2017 02  20944.


 2017 03  1927.
 2017 04  58832·
 2017 05  67828·
 2017 06  84917.
 2017 07  51904·
 2017 08  18861.
 2017 09  0879.
 2017 10  49890.
 2017 11  60870.
 2017 12  90877.
 2018 01 20890.
 2018 02 22969·
 2018 03 66947·
 2018 04 451052.
 2018 05 28998·
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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: Employment Level: Multiple Jobholders 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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