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 Series Title: Employed: Retail trade, 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 321583·
 2000 02 661496.
 2000 03 871521·
 2000 04 671426.
 2000 05 01388·
 2000 06 851379·
 2000 07 221419·
 2000 08 391387·
 2000 09 481410·
 2000 10 151466·
 2000 11 701479.
 2000 12 221522·
 2001 01  241532·
 2001 02  381444·
 2001 03  441519·
 2001 04  611569·
 2001 05  51501·
 2001 06  601662.
 2001 07  821656.
 2001 08  241534.
 2001 09  911505.
 2001 10  131644·
 2001 11  471670·
 2001 12  61656.
 2002 01 81547.
 2002 02 531493·
 2002 03 271365.
 2002 04 251394.
 2002 05 51474.
 2002 06 631491.
 2002 07 351426.
 2002 08 271541·
 2002 09 581524·
 2002 10 481521·
 2002 11 91585.
 2002 12 791527·
 2003 01  691374·
 2003 02  411469·
 2003 03  121515·
 2003 04  761546.
 2003 05  611559.
 2003 06  981585·
 2003 07  311593.
 2003 08  381589·
 2003 09  851601·
 2003 10  01675·
 2003 11  791753.
 2003 12  81677·
 2004 01 171631·
 2004 02 551559·
 2004 03 951611.
 2004 04 561569.
 2004 05 571638·
 2004 06 941586.
 2004 07 411631·
 2004 08 751659·
 2004 09 311713.
 2004 10 741638.
 2004 11 51652·
 2004 12 861593·
 2005 01  891509.
 2005 02  761608·
 2005 03  01653·
 2005 04  311689.
 2005 05  61732.
 2005 06  71708·
 2005 07  641669·
 2005 08  801528.
 2005 09  821661·
 2005 10  981648.
 2005 11  601632.
 2005 12  281711·
 2006 01 441549.
 2006 02 71589·
 2006 03 761572.
 2006 04 931711.
 2006 05 411811.
 2006 06 151836·
 2006 07 231751.
 2006 08 201735·
 2006 09 491682.
 2006 10 281646·
 2006 11 421699.
 2006 12 771773·
 2007 01  691652.
 2007 02  781524.
 2007 03  941585.
 2007 04  591670.
 2007 05  251685.
 2007 06  221830.
 2007 07  671794·
 2007 08  861726·
 2007 09  681739·
 2007 10  411787.
 2007 11  741901.
 2007 12  01852.
 2008 01 731809·
 2008 02 431770.
 2008 03 531593·
 2008 04 711671·
 2008 05 421607·
 2008 06 581692.
 2008 07 671638.
 2008 08 941701.
 2008 09 981679.
 2008 10 431772·
 2008 11 31818.
 2008 12 881895·
 2009 01  931664.
 2009 02  811556·
 2009 03  761618.
 2009 04  961546·
 2009 05  31533·
 2009 06  771601.
 2009 07  221659.
 2009 08  881672·
 2009 09  261705·
 2009 10  631670·
 2009 11  41743.
 2009 12  581636.
 2010 01 891516.
 2010 02 971569·
 2010 03 111615·
 2010 04 251646.
 2010 05 431686.
 2010 06 581779.
 2010 07 551672.
 2010 08 331659.
 2010 09 621728.
 2010 10 551770·
 2010 11 741835·
 2010 12 521758.
 2011 01  471708.
 2011 02  191719·
 2011 03  311626·
 2011 04  751629·
 2011 05  231582.
 2011 06  71729·
 2011 07  141734·
 2011 08  221688.
 2011 09  411769.
 2011 10  991754·
 2011 11  361810.
 2011 12  371876.
 2012 01 771816.
 2012 02 31824·
 2012 03 351757·
 2012 04 881852·
 2012 05 291848·
 2012 06 511866.
 2012 07 731856·
 2012 08 711863·
 2012 09 251855·
 2012 10 981841·
 2012 11 391854.
 2012 12 41815.
 2013 01  141939.
 2013 02  281798.
 2013 03  451802·
 2013 04  311871·
 2013 05  711721·
 2013 06  451714·
 2013 07  291800.
 2013 08  221764·
 2013 09  981777·
 2013 10  831830.
 2013 11  541856·
 2013 12  701912.
 2014 01 191906.
 2014 02 971939·
 2014 03 91921·
 2014 04 952032.
 2014 05 851966·
 2014 06 691881.
 2014 07 51983·
 2014 08 421787.
 2014 09 711887·
 2014 10 61970·
 2014 11 812080.
 2014 12 782110.
 2015 01  782003.
 2015 02  401963.
 2015 03  02020·
 2015 04  982035.
 2015 05  312029.
 2015 06  271913·
 2015 07  492056·
 2015 08  222038.
 2015 09  801979·
 2015 10  492052·
 2015 11  422071.
 2015 12  932006.
 2016 01 12095·
 2016 02 122068·
 2016 03 171898·
 2016 04 811897·
 2016 05 941845·
 2016 06 481898.
 2016 07 351836·
 2016 08 802037.
 2016 09 851968.
 2016 10 142099.
 2016 11 862099·
 2016 12 82067·
 2017 01  242038.
 2017 02  911997·
 2017 03  822081·
 2017 04  112109·
 2017 05  861960·
 2017 06  861990.
 2017 07  611984.
 2017 08  571993.
 2017 09  722080·
 2017 10  312121·
 2017 11  852098·


 2017 12  402109.
 2018 01 82018·
 2018 02 831986·
 2018 03 431928.
 2018 04 801992.
 2018 05 422064.
 2018 06 222184·
 2018 07 482222.
 2018 08 202120·
 2018 09 522160.
 2018 10 552193.
 2018 11 382068.
 2018 12 302072.
 2019 01  371929·
 2019 02  151818.
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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: Retail trade, 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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