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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 60400·
 1994 02 42400·
 1994 03 55438.
 1994 04 70398·
 1994 05 83412.
 1994 06 91395·
 1994 07 94291.
 1994 08 22377.
 1994 09 85420·
 1994 10 51408·
 1994 11 47404·
 1994 12 85386.
 1995 01  16398.
 1995 02  3414.
 1995 03  26461.
 1995 04  4437·
 1995 05  52400.
 1995 06  55446·
 1995 07  68394·
 1995 08  46434.
 1995 09  93453.
 1995 10  37446·
 1995 11  38452.
 1995 12  8426·
 1996 01 64449·
 1996 02 8500·
 1996 03 23482·
 1996 04 7429·
 1996 05 16458.
 1996 06 47444.
 1996 07 36433·
 1996 08 88380·
 1996 09 24405·
 1996 10 62449.
 1996 11 15407·
 1996 12 20466.
 1997 01  89429.
 1997 02  84521.
 1997 03  22534.
 1997 04  97509·
 1997 05  35518.
 1997 06  71516·
 1997 07  46485·
 1997 08  38452·
 1997 09  15487.
 1997 10  3472·
 1997 11  99492·
 1997 12  88516·
 1998 01 1539.
 1998 02 88507.
 1998 03 19542·
 1998 04 16539·
 1998 05 96596·
 1998 06 57506·
 1998 07 70446.
 1998 08 15451.
 1998 09 25400·
 1998 10 66440.
 1998 11 39530.
 1998 12 5543·
 1999 01  37563.
 1999 02  98575·
 1999 03  39529.
 1999 04  30429·
 1999 05  9494·
 1999 06  58545.
 1999 07  7513.
 1999 08  59456·
 1999 09  40404·
 1999 10  79405·
 1999 11  8478·
 1999 12  86491.
 2000 01 57576·
 2000 02 18570·
 2000 03 28546·
 2000 04 31498.
 2000 05 8504.
 2000 06 55537·
 2000 07 81519·
 2000 08 37514·
 2000 09 71546·
 2000 10 98564.
 2000 11 4470.
 2000 12 74546.
 2001 01  45504.
 2001 02  78531·
 2001 03  60574·
 2001 04  36568·
 2001 05  56557·
 2001 06  51570.
 2001 07  38585·
 2001 08  42584·
 2001 09  54565·
 2001 10  0492.
 2001 11  49501.
 2001 12  36585·
 2002 01 14536.
 2002 02 31619.
 2002 03 33614.
 2002 04 87631.
 2002 05 37625·
 2002 06 76613·
 2002 07 52619.
 2002 08 90454.
 2002 09 48519·
 2002 10 91564·
 2002 11 93548.
 2002 12 63607·
 2003 01  98619·
 2003 02  59627·
 2003 03  70552·
 2003 04  51590.
 2003 05  62585·
 2003 06  84583.
 2003 07  21567·
 2003 08  23533.
 2003 09  40547·
 2003 10  0527.
 2003 11  8420.
 2003 12  72496·
 2004 01 58580·
 2004 02 63622.
 2004 03 20574.
 2004 04 19634.
 2004 05 66617.
 2004 06 55577.
 2004 07 68638·
 2004 08 7635·
 2004 09 40625·
 2004 10 82650·
 2004 11 92572.
 2004 12 5616·
 2005 01  80567·
 2005 02  75612.
 2005 03  54610·
 2005 04  8591·
 2005 05  11532.
 2005 06  92561.
 2005 07  42563·
 2005 08  35575.
 2005 09  84536·
 2005 10  14585·
 2005 11  68645·
 2005 12  29604·
 2006 01 73488·
 2006 02 48569·
 2006 03 72601·
 2006 04 60573·
 2006 05 81619·
 2006 06 25595·
 2006 07 14541·
 2006 08 23581·
 2006 09 31653·
 2006 10 3669.
 2006 11 85667.
 2006 12 35616·
 2007 01  75617·
 2007 02  62646.
 2007 03  95579·
 2007 04  42597.
 2007 05  87620·
 2007 06  9583·
 2007 07  84616.
 2007 08  13588.
 2007 09  68660.
 2007 10  76753·
 2007 11  14738·
 2007 12  41655.
 2008 01 44610.
 2008 02 20690.
 2008 03 73581·
 2008 04 46611.
 2008 05 65592.
 2008 06 22632·
 2008 07 74656·
 2008 08 72726·
 2008 09 5790·
 2008 10 89743·
 2008 11 55725.
 2008 12 87701·
 2009 01  67585·
 2009 02  52744.
 2009 03  79665·
 2009 04  88725.
 2009 05  75600.
 2009 06  69608.
 2009 07  33635·
 2009 08  91527.
 2009 09  79695.
 2009 10  20618.
 2009 11  31710.
 2009 12  42607·
 2010 01 54588·
 2010 02 13712.
 2010 03 10690·
 2010 04 10676·
 2010 05 2614.
 2010 06 79590·
 2010 07 33616·
 2010 08 88624.
 2010 09 48645.
 2010 10 74642·
 2010 11 88627·
 2010 12 96630.
 2011 01  41566·
 2011 02  81648.
 2011 03  89598·
 2011 04  78614·
 2011 05  58664·
 2011 06  6564.
 2011 07  72588.
 2011 08  4547.
 2011 09  99603.
 2011 10  81659·
 2011 11  2641·
 2011 12  67640.
 2012 01 89640·
 2012 02 62704·
 2012 03 65681.
 2012 04 86691.
 2012 05 78689·
 2012 06 31559·
 2012 07 74660.
 2012 08 6646·
 2012 09 42693.
 2012 10 94639.
 2012 11 68667.
 2012 12 96750.
 2013 01  82640.
 2013 02  84743.
 2013 03  10757·
 2013 04  49717.
 2013 05  22751·
 2013 06  56716.
 2013 07  87751.
 2013 08  86674.
 2013 09  14713·
 2013 10  93679·
 2013 11  11684.
 2013 12  50784·
 2014 01 32729.
 2014 02 1832·
 2014 03 23754.
 2014 04 10765.
 2014 05 77862.
 2014 06 12760.
 2014 07 82744·
 2014 08 61681.
 2014 09 74756·
 2014 10 82860·
 2014 11 79824.
 2014 12 21784.
 2015 01  73742·
 2015 02  93717·
 2015 03  26786.
 2015 04  35758·
 2015 05  51771.
 2015 06  52818·
 2015 07  60786.
 2015 08  72770·
 2015 09  8773.
 2015 10  90790.
 2015 11  45792·
 2015 12  25876·
 2016 01 68760·
 2016 02 65823·
 2016 03 68794.
 2016 04 15781·
 2016 05 82685.
 2016 06 56714·
 2016 07 42754.
 2016 08 86845.
 2016 09 26961.
 2016 10 72844.
 2016 11 6969.
 2016 12 5910.
 2017 01  0832·
 2017 02  44944.
 2017 03  22927·
 2017 04  69832.


 2017 05  29828·
 2017 06  29917.
 2017 07  77904.
 2017 08  95861.
 2017 09  65879·
 2017 10  8890.
 2017 11  86870·
 2017 12  28877·
 2018 01 81890·
 2018 02 87969.
 2018 03 85947.
 2018 04 371052·
 2018 05 79998·
 2018 06 99992.
 2018 07 38954.
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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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