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 Series Title: Employed: Education and health services, Hispanic or Latino: NSA
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 2000 01 82119.
 2000 02 322169·
 2000 03 402182.
 2000 04 862084·
 2000 05 452026·
 2000 06 961973·
 2000 07 211880.
 2000 08 311968·
 2000 09 172106·
 2000 10 272118·
 2000 11 722209.
 2000 12 442169.
 2001 01  742213.
 2001 02  82172.
 2001 03  52170.
 2001 04  682170.
 2001 05  922180·
 2001 06  432185·
 2001 07  592184.
 2001 08  732225·
 2001 09  722184·
 2001 10  662276·
 2001 11  952281·
 2001 12  532470.
 2002 01 382417.
 2002 02 332371.
 2002 03 32398.
 2002 04 272370.
 2002 05 412441·
 2002 06 252381.
 2002 07 962339·
 2002 08 392388·
 2002 09 572438·
 2002 10 492443·
 2002 11 102479.
 2002 12 582522·
 2003 01  852656·
 2003 02  372538·
 2003 03  92520.
 2003 04  782513.
 2003 05  522514·
 2003 06  452493·
 2003 07  812413.
 2003 08  192402.
 2003 09  72420·
 2003 10  552375.
 2003 11  382253·
 2003 12  252376·
 2004 01 272374·
 2004 02 742421·
 2004 03 202651.
 2004 04 652614·
 2004 05 102770.
 2004 06 332754·
 2004 07 872729·
 2004 08 332619.
 2004 09 842660·
 2004 10 892652.
 2004 11 292551.
 2004 12 472633·
 2005 01  972558·
 2005 02  232559·
 2005 03  582635.
 2005 04  532543·
 2005 05  272602.
 2005 06  432532·
 2005 07  132562·
 2005 08  192735.
 2005 09  722652.
 2005 10  792778·
 2005 11  552743·
 2005 12  402669·
 2006 01 582704·
 2006 02 892748·
 2006 03 732740·
 2006 04 352662·
 2006 05 362704.
 2006 06 542545·
 2006 07 802539·
 2006 08 472594·
 2006 09 822715·
 2006 10 812940·
 2006 11 142887·
 2006 12 462840·
 2007 01  952858·
 2007 02  22868·
 2007 03  372956.
 2007 04  273008·
 2007 05  03029·
 2007 06  722885·
 2007 07  382885·
 2007 08  72922·
 2007 09  492897·
 2007 10  743001.
 2007 11  293034·
 2007 12  322992.
 2008 01 173077·
 2008 02 143071·
 2008 03 493051·
 2008 04 713066·
 2008 05 42993·
 2008 06 242896.
 2008 07 592801·
 2008 08 172978.
 2008 09 353084.
 2008 10 613066·
 2008 11 493203·
 2008 12 903192·
 2009 01  613152·
 2009 02  63301·
 2009 03  303248.
 2009 04  333309.
 2009 05  583283.
 2009 06  662951·
 2009 07  412981·
 2009 08  172919·
 2009 09  253099·
 2009 10  723208.
 2009 11  463363.
 2009 12  353290.
 2010 01 883360.
 2010 02 823375·
 2010 03 303317.
 2010 04 73310.
 2010 05 973356.
 2010 06 763236.
 2010 07 83088.
 2010 08 763151·
 2010 09 283309·
 2010 10 623443·
 2010 11 183486·
 2010 12 113431·
 2011 01  823322.
 2011 02  713335.
 2011 03  213381.
 2011 04  73422.
 2011 05  833423.
 2011 06  593409.
 2011 07  73286·
 2011 08  843246.
 2011 09  823348.
 2011 10  93285·
 2011 11  883356.
 2011 12  843326.
 2012 01 543532.
 2012 02 273590.
 2012 03 23650·
 2012 04 773692·
 2012 05 03684·
 2012 06 453678·
 2012 07 123621·
 2012 08 583669.
 2012 09 463769·
 2012 10 193788·
 2012 11 53719·
 2012 12 463717.
 2013 01  403676·
 2013 02  303675·
 2013 03  953663.
 2013 04  843614.
 2013 05  603716.
 2013 06  873725·
 2013 07  203807.
 2013 08  413678.
 2013 09  53676.
 2013 10  193669·
 2013 11  423616.
 2013 12  133684·
 2014 01 13714·
 2014 02 853695.
 2014 03 493766.
 2014 04 173811·
 2014 05 983712·
 2014 06 643717.
 2014 07 553645.
 2014 08 993680.
 2014 09 713909.
 2014 10 653884.
 2014 11 963862·
 2014 12 273807·
 2015 01  223671·
 2015 02  193730.
 2015 03  373877·
 2015 04  963889·
 2015 05  744175·
 2015 06  824098·
 2015 07  643821.
 2015 08  243825·
 2015 09  803962·
 2015 10  373981.
 2015 11  913985·
 2015 12  563952.
 2016 01 134059·
 2016 02 884143.
 2016 03 564110.
 2016 04 614300.
 2016 05 754291.
 2016 06 704229.
 2016 07 213962.
 2016 08 324056.
 2016 09 904100.
 2016 10 374106·
 2016 11 744179·
 2016 12 904254.
 2017 01  104090.


 2017 02  724323.
 2017 03  294309.
 2017 04  794345·
 2017 05  94349.
 2017 06  814534·
 2017 07  234377.
 2017 08  664263·
 2017 09  894325.
 2017 10  964454.
 2017 11  194531·
 2017 12  484392.
 2018 01 744551.
 2018 02 734564.
 2018 03 64446.
 2018 04 424573·
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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: Employed: Education and health services, 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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