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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 75400·
 1994 02 41400·
 1994 03 11438.
 1994 04 64398.
 1994 05 0412.
 1994 06 24395.
 1994 07 43291·
 1994 08 91377·
 1994 09 85420.
 1994 10 0408·
 1994 11 69404.
 1994 12 10386·
 1995 01  80398·
 1995 02  49414·
 1995 03  2461·
 1995 04  66437.
 1995 05  62400·
 1995 06  79446.
 1995 07  81394·
 1995 08  28434.
 1995 09  29453·
 1995 10  21446·
 1995 11  68452.
 1995 12  89426.
 1996 01 8449·
 1996 02 32500·
 1996 03 52482·
 1996 04 70429.
 1996 05 49458·
 1996 06 93444.
 1996 07 44433·
 1996 08 13380·
 1996 09 28405·
 1996 10 11449.
 1996 11 84407.
 1996 12 89466·
 1997 01  44429·
 1997 02  18521.
 1997 03  34534·
 1997 04  91509·
 1997 05  24518·
 1997 06  71516·
 1997 07  81485·
 1997 08  39452·
 1997 09  17487.
 1997 10  50472.
 1997 11  39492·
 1997 12  76516.
 1998 01 99539·
 1998 02 63507·
 1998 03 45542·
 1998 04 73539.
 1998 05 71596·
 1998 06 41506·
 1998 07 63446.
 1998 08 22451.
 1998 09 57400·
 1998 10 41440.
 1998 11 81530·
 1998 12 43543.
 1999 01  9563.
 1999 02  45575.
 1999 03  10529·
 1999 04  81429·
 1999 05  1494.
 1999 06  58545.
 1999 07  90513·
 1999 08  4456·
 1999 09  34404·
 1999 10  14405.
 1999 11  83478·
 1999 12  6491·
 2000 01 33576.
 2000 02 68570·
 2000 03 76546·
 2000 04 7498.
 2000 05 49504·
 2000 06 2537·
 2000 07 84519.
 2000 08 51514.
 2000 09 57546.
 2000 10 23564·
 2000 11 43470.
 2000 12 7546.
 2001 01  58504·
 2001 02  63531.
 2001 03  16574.
 2001 04  69568·
 2001 05  77557·
 2001 06  77570·
 2001 07  93585·
 2001 08  56584.
 2001 09  64565·
 2001 10  48492·
 2001 11  84501.
 2001 12  13585·
 2002 01 94536.
 2002 02 82619·
 2002 03 29614·
 2002 04 8631·
 2002 05 69625.
 2002 06 12613·
 2002 07 90619.
 2002 08 36454.
 2002 09 13519.
 2002 10 93564.
 2002 11 55548·
 2002 12 15607·
 2003 01  77619.
 2003 02  7627.
 2003 03  37552.
 2003 04  91590·
 2003 05  36585.
 2003 06  61583.
 2003 07  73567.
 2003 08  31533.
 2003 09  91547.
 2003 10  86527·
 2003 11  28420·
 2003 12  31496·
 2004 01 67580·
 2004 02 40622·
 2004 03 88574.
 2004 04 9634·
 2004 05 14617·
 2004 06 4577.
 2004 07 66638.
 2004 08 10635·
 2004 09 9625.
 2004 10 83650.
 2004 11 1572.
 2004 12 2616·
 2005 01  50567.
 2005 02  11612.
 2005 03  55610·
 2005 04  80591·
 2005 05  64532.
 2005 06  44561·
 2005 07  17563.
 2005 08  63575.
 2005 09  1536·
 2005 10  63585·
 2005 11  98645·
 2005 12  95604.
 2006 01 36488.
 2006 02 75569·
 2006 03 37601.
 2006 04 45573.
 2006 05 70619.
 2006 06 12595.
 2006 07 97541·
 2006 08 7581·
 2006 09 28653.
 2006 10 30669·
 2006 11 66667.
 2006 12 1616.
 2007 01  61617.
 2007 02  11646·
 2007 03  57579.
 2007 04  71597.
 2007 05  44620.
 2007 06  61583·
 2007 07  7616·
 2007 08  85588.
 2007 09  77660·
 2007 10  13753.
 2007 11  79738.
 2007 12  38655.
 2008 01 85610.
 2008 02 23690·
 2008 03 62581·
 2008 04 49611·
 2008 05 20592.
 2008 06 72632·
 2008 07 68656·
 2008 08 63726.
 2008 09 56790.
 2008 10 67743·
 2008 11 34725·
 2008 12 48701·
 2009 01  95585·
 2009 02  40744·
 2009 03  25665·
 2009 04  98725.
 2009 05  60600.
 2009 06  47608·
 2009 07  28635.
 2009 08  33527·
 2009 09  3695.
 2009 10  70618.
 2009 11  55710.
 2009 12  96607.
 2010 01 99588.
 2010 02 16712.
 2010 03 45690.
 2010 04 58676.
 2010 05 49614.
 2010 06 17590·
 2010 07 61616.
 2010 08 11624·
 2010 09 77645.
 2010 10 28642·
 2010 11 90627·
 2010 12 76630.
 2011 01  35566·
 2011 02  32648·
 2011 03  45598.
 2011 04  96614.
 2011 05  97664.
 2011 06  35564.
 2011 07  65588·
 2011 08  40547·
 2011 09  65603·
 2011 10  69659.
 2011 11  11641·
 2011 12  3640·
 2012 01 63640·
 2012 02 91704·
 2012 03 73681·
 2012 04 4691.
 2012 05 41689.
 2012 06 82559.
 2012 07 62660.
 2012 08 86646.
 2012 09 76693·
 2012 10 48639.
 2012 11 17667.
 2012 12 20750.
 2013 01  67640.
 2013 02  22743.
 2013 03  1757·
 2013 04  98717.
 2013 05  40751·
 2013 06  60716.
 2013 07  1751.
 2013 08  41674·
 2013 09  46713.
 2013 10  44679.
 2013 11  31684.
 2013 12  93784·
 2014 01 59729·
 2014 02 81832.
 2014 03 28754.
 2014 04 22765.
 2014 05 81862.
 2014 06 1760·
 2014 07 55744.
 2014 08 22681·
 2014 09 36756.
 2014 10 62860·
 2014 11 1824.
 2014 12 14784.
 2015 01  75742·
 2015 02  45717.
 2015 03  77786.
 2015 04  41758.
 2015 05  73771·
 2015 06  57818·
 2015 07  22786.
 2015 08  71770.
 2015 09  31773.
 2015 10  30790·
 2015 11  99792·
 2015 12  0876.
 2016 01 74760·
 2016 02 20823·
 2016 03 96794·
 2016 04 46781·
 2016 05 52685·
 2016 06 9714·
 2016 07 25754·
 2016 08 54845.
 2016 09 42961·
 2016 10 3844·
 2016 11 25969·
 2016 12 93910.
 2017 01  42832.
 2017 02  34944.
 2017 03  58927.
 2017 04  56832.
 2017 05  80828·
 2017 06  59917·
 2017 07  12904.
 2017 08  64861.
 2017 09  4879.


 2017 10  60890·
 2017 11  0870·
 2017 12  59877·
 2018 01 91890·
 2018 02 43969.
 2018 03 61947·
 2018 04 121052·
 2018 05 40998·
 2018 06 39992·
 2018 07 56954.
 2018 08 16936.
 2018 09 78833.
 2018 10 6890.
 2018 11 74983.
 2018 12 91962·
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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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