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 Series Title: Percent Distribution: Employed in Sales and Related Occupations, Black or African American, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2015 07  9810·8
 2015 06  5411·2
 2015 05  111·3
 2015 04  2710.9
 2015 03  4810·7
 2015 02  7910.2
 2015 01  399.9
 2014 12 7610·5
 2014 11 2011·8
 2014 10 5711.1
 2014 09 3410.6
 2014 08 8010.2
 2014 07 6611.5
 2014 06 7311.2
 2014 05 9911.4
 2014 04 8311·0
 2014 03 6010·9
 2014 02 3111.2
 2014 01 7111·9
 2013 12  5411·1
 2013 11  211.0
 2013 10  6410.4
 2013 09  1510·1
 2013 08  8810·6
 2013 07  1911.3
 2013 06  2811.1
 2013 05  1811·0
 2013 04  311·9
 2013 03  6010.6
 2013 02  511·4
 2013 01  9211.4
 2012 12 4410.7
 2012 11 110.9
 2012 10 111·0
 2012 09 7511.8
 2012 08 7910·6
 2012 07 4311.8
 2012 06 4911·1
 2012 05 3111.4
 2012 04 311·7
 2012 03 1010.7
 2012 02 511·3
 2012 01 4711.3
 2011 12  3611.6
 2011 11  5412·0
 2011 10  5010.7
 2011 09  3711.4
 2011 08  2011.2
 2011 07  4911·9
 2011 06  9111·4
 2011 05  3711.4
 2011 04  2611·8
 2011 03  9511.3
 2011 02  6011.9
 2011 01  1211·4
 2010 12 4711.4
 2010 11 1912·1
 2010 10 1311·5
 2010 09 4811·7
 2010 08 311.0
 2010 07 7110·8
 2010 06 3312·1
 2010 05 5911·8
 2010 04 3811.5
 2010 03 2611·2
 2010 02 2510·7
 2010 01 8310·4
 2009 12  2011·1
 2009 11  8411.8
 2009 10  2111·5
 2009 09  8211·9
 2009 08  4512·4
 2009 07  7111·8
 2009 06  7911·1
 2009 05  4410·4
 2009 04  3110.1
 2009 03  3810.1
 2009 02  7910·4
 2009 01  8310.8
 2008 12 2211.9
 2008 11 5811·2
 2008 10 2810·6
 2008 09 3611·1
 2008 08 8710.3
 2008 07 3411·1
 2008 06 5811·6
 2008 05 6611.2
 2008 04 2111·3
 2008 03 9110·8
 2008 02 2611·4
 2008 01 6111.2
 2007 12  4312·2
 2007 11  7812.1
 2007 10  1312.2
 2007 09  3411.5
 2007 08  9710·7
 2007 07  7111·5
 2007 06  2512.4
 2007 05  2311·8
 2007 04  5111.4
 2007 03  7111.0
 2007 02  9611·7
 2007 01  9112·0
 2006 12 112·4
 2006 11 311.2
 2006 10 8010·4
 2006 09 2410·1
 2006 08 6510.2
 2006 07 1711.5
 2006 06 6011·8
 2006 05 3811·0
 2006 04 8810·5
 2006 03 8910·5
 2006 02 4210.4
 2006 01 6810.5
 2005 12  3811·0
 2005 11  1910.2
 2005 10  5810.5
 2005 09  7911.4
 2005 08  911·4
 2005 07  3312·1
 2005 06  6511.2
 2005 05  5811·4
 2005 04  2211.0
 2005 03  8010.8
 2005 02  4510·1
 2005 01  1811·1
 2004 12 2011·0
 2004 11 3710.8
 2004 10 311·5
 2004 09 9711·8
 2004 08 7111·3
 2004 07 411·4
 2004 06 7210·4
 2004 05 5810.4
 2004 04 7110.1
 2004 03 510.1
 2004 02 88.9
 2004 01 889·6
 2003 12  3911.2
 2003 11  9211·1
 2003 10  9311.2
 2003 09  110·6
 2003 08  189·8
 2003 07  4010.3
 2003 06  3310·3
 2003 05  3411.1
 2003 04  7810·5
 2003 03  4910·7
 2003 02  6110.5
 2003 01  5010·8
 2002 12 1211·8
 2002 11 4510·8
 2002 10 329.9
 2002 09 389.8
 2002 08 419·7
 2002 07 788.8
 2002 06 299.4
 2002 05 109.1
 2002 04 79·0
 2002 03 249.3
 2002 02 5810.5
 2002 01 410.8
 2001 12  8111.7
 2001 11  8212·0
 2001 10  5011·5
 2001 09  8311·0
 2001 08  5610.8
 2001 07  7810·9
 2001 06  6310·6
 2001 05  3410.4
 2001 04  5210.4
 2001 03  639.4


 2001 02  789.8
 2001 01  7210·9
 2000 12 1311.7
 2000 11 1210·9
 2000 10 110.2
 2000 09 3211.3
 2000 08 710.9
 2000 07 2610.7
 2000 06 6511·2
 2000 05 8010.3
 2000 04 2910·5
 2000 03 299·7
 2000 02 2610·4
 2000 01 110·5
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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: Percent Distribution: Employed in Sales and Related Occupations, Black or African American, Women: 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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