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 Series Title: Employed: Education and health services, 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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 2000 01 802119·
 2000 02 732169·
 2000 03 222182·
 2000 04 22084.
 2000 05 172026·
 2000 06 691973·
 2000 07 661880·
 2000 08 421968.
 2000 09 142106.
 2000 10 572118·
 2000 11 42209·
 2000 12 742169.
 2001 01  222213.
 2001 02  192172·
 2001 03  502170·
 2001 04  422170.
 2001 05  162180.
 2001 06  612185·
 2001 07  412184·
 2001 08  162225·
 2001 09  962184·
 2001 10  162276·
 2001 11  412281·
 2001 12  902470.
 2002 01 872417·
 2002 02 392371.
 2002 03 372398·
 2002 04 832370.
 2002 05 412441.
 2002 06 132381·
 2002 07 422339·
 2002 08 392388.
 2002 09 322438·
 2002 10 442443.
 2002 11 942479.
 2002 12 282522.
 2003 01  612656.
 2003 02  632538·
 2003 03  562520·
 2003 04  422513·
 2003 05  532514.
 2003 06  282493·
 2003 07  162413.
 2003 08  32402.
 2003 09  582420·
 2003 10  202375·
 2003 11  872253·
 2003 12  522376.
 2004 01 532374.
 2004 02 452421.
 2004 03 62651·
 2004 04 612614·
 2004 05 372770·
 2004 06 362754·
 2004 07 362729·
 2004 08 232619·
 2004 09 362660·
 2004 10 482652·
 2004 11 662551·
 2004 12 572633.
 2005 01  02558.
 2005 02  642559·
 2005 03  82635·
 2005 04  72543·
 2005 05  52602.
 2005 06  912532.
 2005 07  02562.
 2005 08  422735·
 2005 09  502652·
 2005 10  592778·
 2005 11  52743·
 2005 12  572669.
 2006 01 622704·
 2006 02 252748.
 2006 03 122740.
 2006 04 712662·
 2006 05 912704·
 2006 06 722545.
 2006 07 322539·
 2006 08 272594.
 2006 09 112715·
 2006 10 62940.
 2006 11 32887·
 2006 12 962840·
 2007 01  252858·
 2007 02  572868.
 2007 03  892956·
 2007 04  703008.
 2007 05  563029·
 2007 06  842885.
 2007 07  782885·
 2007 08  702922.
 2007 09  552897.
 2007 10  683001·
 2007 11  823034·
 2007 12  392992.
 2008 01 983077.
 2008 02 153071.
 2008 03 393051.
 2008 04 473066·
 2008 05 862993·
 2008 06 572896.
 2008 07 132801.
 2008 08 872978.
 2008 09 423084·
 2008 10 503066.
 2008 11 903203.
 2008 12 793192.
 2009 01  193152·
 2009 02  773301·
 2009 03  853248.
 2009 04  673309·
 2009 05  903283·
 2009 06  432951.
 2009 07  342981.
 2009 08  202919.
 2009 09  583099·
 2009 10  813208·
 2009 11  13363.
 2009 12  323290·
 2010 01 463360·
 2010 02 473375.
 2010 03 733317.
 2010 04 233310·
 2010 05 63356.
 2010 06 233236.
 2010 07 643088·
 2010 08 363151.
 2010 09 133309.
 2010 10 163443.
 2010 11 123486.
 2010 12 403431·
 2011 01  673322·
 2011 02  563335·
 2011 03  783381·
 2011 04  313422·
 2011 05  933423.
 2011 06  13409.
 2011 07  523286·
 2011 08  263246·
 2011 09  423348.
 2011 10  333285·
 2011 11  463356.
 2011 12  713326.
 2012 01 903532·
 2012 02 583590.
 2012 03 983650·
 2012 04 333692.
 2012 05 373684.
 2012 06 73678.
 2012 07 703621.
 2012 08 83669.
 2012 09 73769·
 2012 10 373788·
 2012 11 523719.
 2012 12 153717.
 2013 01  533676·
 2013 02  313675.
 2013 03  553663·
 2013 04  973614·
 2013 05  483716.
 2013 06  943725.
 2013 07  173807·
 2013 08  233678·
 2013 09  933676.
 2013 10  583669·
 2013 11  23616.
 2013 12  893684.
 2014 01 143714.
 2014 02 803695·
 2014 03 973766.
 2014 04 133811.
 2014 05 623712.
 2014 06 413717·
 2014 07 153645·
 2014 08 393680.
 2014 09 103909·
 2014 10 493884.
 2014 11 953862·
 2014 12 363807.
 2015 01  613671·
 2015 02  343730·
 2015 03  983877·
 2015 04  993889·
 2015 05  394175.
 2015 06  544098·
 2015 07  133821.
 2015 08  463825·
 2015 09  953962.
 2015 10  903981·
 2015 11  533985·
 2015 12  223952·
 2016 01 34059.
 2016 02 494143.
 2016 03 564110·
 2016 04 964300·
 2016 05 664291.
 2016 06 614229.
 2016 07 843962.
 2016 08 624056·
 2016 09 74100·
 2016 10 854106·
 2016 11 254179.
 2016 12 394254·
 2017 01  774090.
 2017 02  24323·
 2017 03  934309·
 2017 04  724345.
 2017 05  524349·
 2017 06  174534·


 2017 07  254377·
 2017 08  284263·
 2017 09  314325.
 2017 10  644454.
 2017 11  844531·
 2017 12  44392.
 2018 01 424551·
 2018 02 984564·
 2018 03 584446·
 2018 04 174573.
 2018 05 334558·
 2018 06 14625·
 2018 07 604538·
 2018 08 124290.
 2018 09 804522·
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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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