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 Series Title: Employed: Education and health services, Black or African American: 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 63785.
 2000 02 933838.
 2000 03 393748.
 2000 04 343764.
 2000 05 913764.
 2000 06 283709·
 2000 07 633782·
 2000 08 443706·
 2000 09 03635·
 2000 10 183741.
 2000 11 443806.
 2000 12 93752·
 2001 01  813649·
 2001 02  443708.
 2001 03  953792.
 2001 04  733898·
 2001 05  114036·
 2001 06  133964.
 2001 07  533881·
 2001 08  53753.
 2001 09  903851·
 2001 10  573819·
 2001 11  833779·
 2001 12  993807·
 2002 01 423707.
 2002 02 323774·
 2002 03 723823·
 2002 04 753909·
 2002 05 203856.
 2002 06 203941·
 2002 07 323959·
 2002 08 773875·
 2002 09 974111·
 2002 10 274123.
 2002 11 13938·
 2002 12 733959·
 2003 01  743925·
 2003 02  863869·
 2003 03  433928.
 2003 04  583992·
 2003 05  784026·
 2003 06  533962·
 2003 07  453839.
 2003 08  523788·
 2003 09  573757·
 2003 10  93879·
 2003 11  203799·
 2003 12  973729·
 2004 01 883906·
 2004 02 613848.
 2004 03 73992.
 2004 04 644161.
 2004 05 704048.
 2004 06 414054.
 2004 07 673955.
 2004 08 463934·
 2004 09 303915.
 2004 10 53974·
 2004 11 893902.
 2004 12 633985.
 2005 01  183896·
 2005 02  363903.
 2005 03  864064.
 2005 04  594051·
 2005 05  94097.
 2005 06  394122.
 2005 07  963994.
 2005 08  24026·
 2005 09  34153.
 2005 10  464205.
 2005 11  814196.
 2005 12  884100.
 2006 01 264208·
 2006 02 144178.
 2006 03 304123.
 2006 04 344299·
 2006 05 284212·
 2006 06 254110·
 2006 07 544215.
 2006 08 864177.
 2006 09 854323·
 2006 10 864471·
 2006 11 934521.
 2006 12 134348.
 2007 01  974357.
 2007 02  274239.
 2007 03  94107·
 2007 04  84289.
 2007 05  894156·
 2007 06  54275·
 2007 07  904253·
 2007 08  904268.
 2007 09  124401·
 2007 10  34261.
 2007 11  494200.
 2007 12  54220·
 2008 01 424240·
 2008 02 274308.
 2008 03 244420·
 2008 04 204580.
 2008 05 774357·
 2008 06 84550.
 2008 07 774612·
 2008 08 314424.
 2008 09 454436·
 2008 10 34573·
 2008 11 974448·
 2008 12 564537·
 2009 01  954649·
 2009 02  944435·
 2009 03  964461·
 2009 04  404576.
 2009 05  34446.
 2009 06  874540.
 2009 07  134482.
 2009 08  514369.
 2009 09  694279.
 2009 10  144421·
 2009 11  104395.
 2009 12  834440.
 2010 01 194554·
 2010 02 324506.
 2010 03 754469.
 2010 04 574529·
 2010 05 24470·
 2010 06 234509·
 2010 07 214503·
 2010 08 154456.
 2010 09 954509.
 2010 10 924611.
 2010 11 854498·
 2010 12 284489.
 2011 01  974313·
 2011 02  724378·
 2011 03  324476.
 2011 04  894428.
 2011 05  354484·
 2011 06  194354.
 2011 07  484265.
 2011 08  184349.
 2011 09  584514·
 2011 10  144582·
 2011 11  474392.
 2011 12  574365.
 2012 01 424410.
 2012 02 664526·
 2012 03 664699·
 2012 04 784680.
 2012 05 874675.
 2012 06 44431.
 2012 07 684508.
 2012 08 744578.
 2012 09 194692.
 2012 10 864919·
 2012 11 424787.
 2012 12 634634.
 2013 01  884462·
 2013 02  944468·
 2013 03  04497·
 2013 04  914742·
 2013 05  694769·
 2013 06  344566.
 2013 07  804518.
 2013 08  254534.
 2013 09  634458·
 2013 10  374572.
 2013 11  454639·
 2013 12  624579·
 2014 01 954642·
 2014 02 614741·
 2014 03 824782.
 2014 04 184805·
 2014 05 164734·
 2014 06 874638.
 2014 07 54590·
 2014 08 404739.
 2014 09 14910·
 2014 10 214907.
 2014 11 524882.
 2014 12 954899.
 2015 01  514867·
 2015 02  964897.
 2015 03  854945.
 2015 04  784960.
 2015 05  904881·
 2015 06  674862.
 2015 07  934900·
 2015 08  95006·
 2015 09  695033.
 2015 10  175095.
 2015 11  885139.
 2015 12  305025.
 2016 01 645057.
 2016 02 535015.
 2016 03 85025.
 2016 04 125104.
 2016 05 755088·
 2016 06 55069.
 2016 07 165116.
 2016 08 495150·
 2016 09 275196.
 2016 10 305181·
 2016 11 995243·
 2016 12 594994.
 2017 01  714928.
 2017 02  114966·
 2017 03  725034.
 2017 04  875206.
 2017 05  815279·
 2017 06  545210.
 2017 07  715331·
 2017 08  15081·
 2017 09  605185.


 2017 10  895088·
 2017 11  605105.
 2017 12  975046.
 2018 01 315084.
 2018 02 755400·
 2018 03 275330.
 2018 04 945486.
 2018 05 465342·
 2018 06 935094·
 2018 07 845131.
 2018 08 345087.
 2018 09 795394·
 2018 10 495541·
 2018 11 695443.
 2018 12 885345.
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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, Black or African American: 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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