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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 142119.
 2000 02 52169.
 2000 03 22182.
 2000 04 402084.
 2000 05 762026.
 2000 06 711973·
 2000 07 861880·
 2000 08 151968·
 2000 09 292106.
 2000 10 592118.
 2000 11 962209·
 2000 12 132169.
 2001 01  242213.
 2001 02  532172.
 2001 03  442170·
 2001 04  792170·
 2001 05  352180·
 2001 06  592185·
 2001 07  692184.
 2001 08  822225·
 2001 09  652184.
 2001 10  82276.
 2001 11  342281·
 2001 12  172470.
 2002 01 372417.
 2002 02 572371.
 2002 03 262398·
 2002 04 12370.
 2002 05 22441·
 2002 06 882381.
 2002 07 592339.
 2002 08 802388·
 2002 09 362438.
 2002 10 72443.
 2002 11 702479.
 2002 12 222522·
 2003 01  392656.
 2003 02  462538·
 2003 03  222520.
 2003 04  222513·
 2003 05  372514·
 2003 06  622493.
 2003 07  32413·
 2003 08  992402·
 2003 09  802420.
 2003 10  362375.
 2003 11  252253.
 2003 12  972376·
 2004 01 422374·
 2004 02 752421.
 2004 03 282651·
 2004 04 842614·
 2004 05 262770·
 2004 06 102754.
 2004 07 742729.
 2004 08 562619.
 2004 09 552660.
 2004 10 992652·
 2004 11 502551.
 2004 12 322633.
 2005 01  812558·
 2005 02  222559.
 2005 03  692635.
 2005 04  552543·
 2005 05  792602·
 2005 06  872532.
 2005 07  702562.
 2005 08  942735·
 2005 09  492652.
 2005 10  242778·
 2005 11  152743.
 2005 12  442669.
 2006 01 162704·
 2006 02 922748·
 2006 03 922740.
 2006 04 242662·
 2006 05 312704·
 2006 06 712545·
 2006 07 152539·
 2006 08 792594.
 2006 09 702715.
 2006 10 672940.
 2006 11 202887.
 2006 12 762840.
 2007 01  332858·
 2007 02  142868.
 2007 03  712956.
 2007 04  113008·
 2007 05  443029.
 2007 06  672885.
 2007 07  562885.
 2007 08  22922·
 2007 09  562897·
 2007 10  73001.
 2007 11  883034.
 2007 12  942992·
 2008 01 423077.
 2008 02 433071·
 2008 03 43051·
 2008 04 553066.
 2008 05 32993·
 2008 06 42896·
 2008 07 672801·
 2008 08 812978.
 2008 09 663084·
 2008 10 483066.
 2008 11 663203·
 2008 12 893192.
 2009 01  793152·
 2009 02  573301·
 2009 03  123248·
 2009 04  253309·
 2009 05  193283·
 2009 06  372951.
 2009 07  452981·
 2009 08  572919·
 2009 09  853099·
 2009 10  203208.
 2009 11  273363·
 2009 12  803290·
 2010 01 43360.
 2010 02 623375·
 2010 03 463317.
 2010 04 123310·
 2010 05 263356·
 2010 06 453236.
 2010 07 143088·
 2010 08 973151.
 2010 09 263309·
 2010 10 763443·
 2010 11 703486.
 2010 12 63431·
 2011 01  43322.
 2011 02  863335·
 2011 03  773381·
 2011 04  323422·
 2011 05  863423·
 2011 06  323409.
 2011 07  223286·
 2011 08  943246·
 2011 09  223348·
 2011 10  963285.
 2011 11  183356.
 2011 12  363326.
 2012 01 883532.
 2012 02 843590·
 2012 03 43650·
 2012 04 283692.
 2012 05 843684.
 2012 06 273678·
 2012 07 413621·
 2012 08 633669·
 2012 09 353769·
 2012 10 843788.
 2012 11 193719·
 2012 12 613717·
 2013 01  923676·
 2013 02  343675·
 2013 03  493663·
 2013 04  653614·
 2013 05  303716.
 2013 06  863725.
 2013 07  703807.
 2013 08  463678.
 2013 09  503676·
 2013 10  693669·
 2013 11  453616·
 2013 12  973684.
 2014 01 773714·
 2014 02 423695.
 2014 03 613766.
 2014 04 383811.
 2014 05 613712.
 2014 06 863717.
 2014 07 323645·
 2014 08 113680.
 2014 09 783909·
 2014 10 73884.
 2014 11 953862.
 2014 12 873807·
 2015 01  283671.
 2015 02  373730.
 2015 03  143877.
 2015 04  603889.
 2015 05  364175.
 2015 06  334098·
 2015 07  753821.
 2015 08  493825·
 2015 09  543962.
 2015 10  763981.
 2015 11  923985·
 2015 12  983952.
 2016 01 564059.
 2016 02 734143.
 2016 03 44110.
 2016 04 764300.
 2016 05 424291.
 2016 06 554229·
 2016 07 723962·
 2016 08 774056·
 2016 09 384100·
 2016 10 804106.
 2016 11 844179·
 2016 12 214254·
 2017 01  964090·
 2017 02  284323·
 2017 03  544309.
 2017 04  514345.
 2017 05  884349·
 2017 06  74534.
 2017 07  204377.
 2017 08  374263·
 2017 09  184325.


 2017 10  494454.
 2017 11  444531.
 2017 12  734392·
 2018 01 84551·
 2018 02 94564·
 2018 03 144446.
 2018 04 774573·
 2018 05 114558·
 2018 06 694625·
 2018 07 444538.
 2018 08 954290.
 2018 09 14522·
 2018 10 364466.
 2018 11 704521.
 2018 12 954622·
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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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