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 Series Title: Employed: Education and health services, Black or African American: NSA
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 2000 01 443785·
 2000 02 293838·
 2000 03 993748.
 2000 04 383764·
 2000 05 533764.
 2000 06 553709.
 2000 07 563782.
 2000 08 983706.
 2000 09 43635.
 2000 10 543741.
 2000 11 883806·
 2000 12 313752·
 2001 01  463649·
 2001 02  83708·
 2001 03  93792.
 2001 04  833898·
 2001 05  554036.
 2001 06  243964·
 2001 07  573881.
 2001 08  213753·
 2001 09  323851.
 2001 10  333819·
 2001 11  943779·
 2001 12  403807.
 2002 01 23707.
 2002 02 923774.
 2002 03 93823·
 2002 04 603909.
 2002 05 153856.
 2002 06 833941.
 2002 07 143959·
 2002 08 243875.
 2002 09 474111·
 2002 10 134123·
 2002 11 483938.
 2002 12 13959·
 2003 01  983925.
 2003 02  123869·
 2003 03  723928·
 2003 04  863992·
 2003 05  934026·
 2003 06  383962·
 2003 07  763839·
 2003 08  983788.
 2003 09  833757·
 2003 10  723879·
 2003 11  723799·
 2003 12  813729·
 2004 01 443906.
 2004 02 213848.
 2004 03 973992·
 2004 04 44161.
 2004 05 754048.
 2004 06 164054.
 2004 07 153955.
 2004 08 613934.
 2004 09 23915.
 2004 10 153974·
 2004 11 143902.
 2004 12 723985.
 2005 01  753896.
 2005 02  983903.
 2005 03  64064·
 2005 04  804051.
 2005 05  704097.
 2005 06  734122·
 2005 07  293994.
 2005 08  544026.
 2005 09  884153.
 2005 10  714205.
 2005 11  474196·
 2005 12  904100.
 2006 01 534208·
 2006 02 494178.
 2006 03 474123.
 2006 04 54299.
 2006 05 164212.
 2006 06 884110.
 2006 07 424215·
 2006 08 444177.
 2006 09 534323·
 2006 10 954471·
 2006 11 704521.
 2006 12 774348·
 2007 01  634357·
 2007 02  14239·
 2007 03  944107.
 2007 04  974289.
 2007 05  724156.
 2007 06  644275.
 2007 07  14253.
 2007 08  234268·
 2007 09  314401·
 2007 10  654261.
 2007 11  64200·
 2007 12  04220.
 2008 01 154240·
 2008 02 104308·
 2008 03 444420·
 2008 04 974580·
 2008 05 244357·
 2008 06 324550·
 2008 07 804612.
 2008 08 84424.
 2008 09 844436·
 2008 10 864573.
 2008 11 24448·
 2008 12 514537.
 2009 01  454649.
 2009 02  554435.
 2009 03  214461.
 2009 04  724576.
 2009 05  824446.
 2009 06  454540.
 2009 07  774482·
 2009 08  394369·
 2009 09  974279.
 2009 10  884421·
 2009 11  314395·
 2009 12  474440·
 2010 01 134554·
 2010 02 404506·
 2010 03 724469.
 2010 04 144529.
 2010 05 834470.
 2010 06 844509.
 2010 07 144503·
 2010 08 854456·
 2010 09 804509·
 2010 10 254611·
 2010 11 924498.
 2010 12 294489.
 2011 01  64313·
 2011 02  954378·
 2011 03  714476.
 2011 04  404428.
 2011 05  854484·
 2011 06  514354·
 2011 07  394265·
 2011 08  374349.
 2011 09  694514.
 2011 10  754582.
 2011 11  84392.
 2011 12  644365.
 2012 01 334410.
 2012 02 734526.
 2012 03 164699.
 2012 04 914680.
 2012 05 764675.
 2012 06 774431.
 2012 07 264508·
 2012 08 114578.
 2012 09 254692·
 2012 10 444919.
 2012 11 274787·
 2012 12 444634·
 2013 01  304462.
 2013 02  544468·
 2013 03  304497·
 2013 04  344742·
 2013 05  664769.
 2013 06  164566.
 2013 07  734518.
 2013 08  504534·
 2013 09  334458.
 2013 10  604572.
 2013 11  214639·
 2013 12  874579·
 2014 01 584642.
 2014 02 434741·
 2014 03 604782.
 2014 04 624805.
 2014 05 894734·
 2014 06 474638·
 2014 07 34590·
 2014 08 214739·
 2014 09 44910·
 2014 10 784907·
 2014 11 894882.
 2014 12 324899.
 2015 01  24867·
 2015 02  684897·
 2015 03  804945.
 2015 04  904960.
 2015 05  84881.
 2015 06  744862·
 2015 07  644900.
 2015 08  145006.
 2015 09  735033·
 2015 10  775095.
 2015 11  545139·
 2015 12  485025·
 2016 01 725057.
 2016 02 845015.
 2016 03 885025.
 2016 04 615104.
 2016 05 65088.
 2016 06 275069·
 2016 07 295116·
 2016 08 485150·
 2016 09 15196.
 2016 10 625181·
 2016 11 645243·
 2016 12 264994.
 2017 01  54928·


 2017 02  704966·
 2017 03  75034.
 2017 04  425206·
 2017 05  965279·
 2017 06  605210·
 2017 07  955331·
 2017 08  635081·
 2017 09  735185·
 2017 10  615088·
 2017 11  925105.
 2017 12  845046.
 2018 01 615084·
 2018 02 315400·
 2018 03 855330.
 2018 04 235486.
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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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