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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 931583·
 2000 02 991496.
 2000 03 681521·
 2000 04 931426.
 2000 05 871388.
 2000 06 661379·
 2000 07 501419.
 2000 08 861387·
 2000 09 31410.
 2000 10 891466·
 2000 11 891479·
 2000 12 341522·
 2001 01  931532.
 2001 02  481444·
 2001 03  971519·
 2001 04  801569·
 2001 05  301501·
 2001 06  501662·
 2001 07  141656·
 2001 08  951534.
 2001 09  171505.
 2001 10  261644.
 2001 11  11670·
 2001 12  731656.
 2002 01 771547.
 2002 02 341493.
 2002 03 481365·
 2002 04 311394·
 2002 05 621474·
 2002 06 551491.
 2002 07 651426·
 2002 08 161541.
 2002 09 471524·
 2002 10 951521.
 2002 11 931585.
 2002 12 951527·
 2003 01  321374·
 2003 02  871469·
 2003 03  921515·
 2003 04  631546.
 2003 05  431559.
 2003 06  861585·
 2003 07  521593.
 2003 08  391589·
 2003 09  311601·
 2003 10  751675·
 2003 11  851753.
 2003 12  671677·
 2004 01 691631·
 2004 02 601559.
 2004 03 301611.
 2004 04 171569·
 2004 05 601638.
 2004 06 731586·
 2004 07 481631.
 2004 08 821659·
 2004 09 281713.
 2004 10 701638.
 2004 11 281652·
 2004 12 821593·
 2005 01  231509.
 2005 02  331608·
 2005 03  831653·
 2005 04  601689·
 2005 05  221732·
 2005 06  691708·
 2005 07  501669·
 2005 08  861528·
 2005 09  241661.
 2005 10  91648.
 2005 11  931632·
 2005 12  551711·
 2006 01 541549.
 2006 02 101589.
 2006 03 991572.
 2006 04 841711.
 2006 05 641811·
 2006 06 541836·
 2006 07 821751.
 2006 08 191735·
 2006 09 291682·
 2006 10 471646·
 2006 11 791699.
 2006 12 281773·
 2007 01  491652·
 2007 02  211524.
 2007 03  531585.
 2007 04  61670.
 2007 05  491685·
 2007 06  321830.
 2007 07  911794.
 2007 08  711726·
 2007 09  801739.
 2007 10  631787·
 2007 11  81901·
 2007 12  691852·
 2008 01 171809.
 2008 02 201770·
 2008 03 411593·
 2008 04 671671·
 2008 05 601607·
 2008 06 331692.
 2008 07 521638.
 2008 08 611701·
 2008 09 361679.
 2008 10 611772.
 2008 11 291818·
 2008 12 681895·
 2009 01  941664.
 2009 02  851556·
 2009 03  871618·
 2009 04  351546.
 2009 05  101533.
 2009 06  111601.
 2009 07  611659·
 2009 08  291672·
 2009 09  831705·
 2009 10  711670·
 2009 11  161743·
 2009 12  441636.
 2010 01 411516.
 2010 02 221569.
 2010 03 381615·
 2010 04 01646·
 2010 05 321686·
 2010 06 451779·
 2010 07 421672·
 2010 08 421659.
 2010 09 331728.
 2010 10 471770.
 2010 11 641835·
 2010 12 371758·
 2011 01  431708.
 2011 02  601719.
 2011 03  691626.
 2011 04  811629.
 2011 05  881582·
 2011 06  391729·
 2011 07  431734.
 2011 08  921688·
 2011 09  191769.
 2011 10  681754.
 2011 11  991810.
 2011 12  151876·
 2012 01 111816.
 2012 02 521824·
 2012 03 761757.
 2012 04 191852.
 2012 05 641848·
 2012 06 241866.
 2012 07 371856·
 2012 08 971863.
 2012 09 31855·
 2012 10 391841·
 2012 11 681854·
 2012 12 691815·
 2013 01  801939·
 2013 02  791798·
 2013 03  841802.
 2013 04  791871.
 2013 05  691721·
 2013 06  521714·
 2013 07  221800·
 2013 08  971764·
 2013 09  711777.
 2013 10  881830·
 2013 11  441856·
 2013 12  161912·
 2014 01 111906·
 2014 02 441939·
 2014 03 391921.
 2014 04 562032·
 2014 05 401966.
 2014 06 31881·
 2014 07 201983·
 2014 08 601787.
 2014 09 331887·
 2014 10 701970.
 2014 11 252080·
 2014 12 982110.
 2015 01  902003·
 2015 02  781963.
 2015 03  162020·
 2015 04  642035·
 2015 05  372029.
 2015 06  821913.
 2015 07  812056·
 2015 08  772038·
 2015 09  241979·
 2015 10  652052.
 2015 11  342071.
 2015 12  822006.
 2016 01 272095·
 2016 02 332068·
 2016 03 121898.
 2016 04 461897·
 2016 05 451845.
 2016 06 181898.
 2016 07 781836·
 2016 08 662037·
 2016 09 51968.
 2016 10 762099.
 2016 11 192099.
 2016 12 582067·
 2017 01  572038·
 2017 02  901997.
 2017 03  502081·
 2017 04  692109.
 2017 05  751960.
 2017 06  651990·


 2017 07  71984·
 2017 08  671993·
 2017 09  622080.
 2017 10  342121.
 2017 11  542098·
 2017 12  462109·
 2018 01 412018.
 2018 02 531986·
 2018 03 781928.
 2018 04 251992.
 2018 05 632064.
 2018 06 32184·
 2018 07 922222.
 2018 08 482120·
 2018 09 52160·
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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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