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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 04  6910·9
 2015 03  4410·7
 2015 02  2710.2
 2015 01  149·9
 2014 12 2510·5
 2014 11 8211·8
 2014 10 1211·1
 2014 09 6810·6
 2014 08 8510.2
 2014 07 5711.5
 2014 06 3511.2
 2014 05 5811·4
 2014 04 9911·0
 2014 03 4910.9
 2014 02 911.2
 2014 01 2811.9
 2013 12  4311.1
 2013 11  6511·0
 2013 10  7310.4
 2013 09  4810.1
 2013 08  1710.6
 2013 07  3711.3
 2013 06  8911·1
 2013 05  1111.0
 2013 04  4711.9
 2013 03  2110·6
 2013 02  4411.4
 2013 01  3711.4
 2012 12 8210·7
 2012 11 010·9
 2012 10 5311·0
 2012 09 7011.8
 2012 08 9810·6
 2012 07 7911·8
 2012 06 5211.1
 2012 05 7911.4
 2012 04 9611.7
 2012 03 9110·7
 2012 02 511·3
 2012 01 5811.3
 2011 12  111·6
 2011 11  9212.0
 2011 10  010.7
 2011 09  2611·4
 2011 08  6311·2
 2011 07  6411·9
 2011 06  4811.4
 2011 05  2811·4
 2011 04  5811·8
 2011 03  1311.3
 2011 02  9011·9
 2011 01  3311·4
 2010 12 8611·4
 2010 11 7112·1
 2010 10 8611.5
 2010 09 3411·7
 2010 08 7311·0
 2010 07 9510.8
 2010 06 2612·1
 2010 05 5111·8
 2010 04 6811.5
 2010 03 6611·2
 2010 02 2110·7
 2010 01 2810·4
 2009 12  4811·1
 2009 11  9111·8
 2009 10  1011·5
 2009 09  3411.9
 2009 08  1312·4
 2009 07  211.8
 2009 06  5711·1
 2009 05  6310.4
 2009 04  8810.1
 2009 03  5510·1
 2009 02  4710·4
 2009 01  3510.8
 2008 12 2311·9
 2008 11 3111.2
 2008 10 9610.6
 2008 09 9311·1
 2008 08 9410·3
 2008 07 3811.1
 2008 06 3911·6
 2008 05 711·2
 2008 04 111·3
 2008 03 810.8
 2008 02 4211·4
 2008 01 7111·2
 2007 12  7012·2
 2007 11  9612·1
 2007 10  9012.2
 2007 09  411·5
 2007 08  5110.7
 2007 07  8411.5
 2007 06  9712·4
 2007 05  5011.8
 2007 04  1911·4
 2007 03  8011.0
 2007 02  211.7
 2007 01  7812·0
 2006 12 7612.4
 2006 11 1411.2
 2006 10 6610.4
 2006 09 8210·1
 2006 08 4510·2
 2006 07 4411·5
 2006 06 7811.8
 2006 05 8211.0
 2006 04 7810·5
 2006 03 5110.5
 2006 02 5110·4
 2006 01 2210·5
 2005 12  5011·0
 2005 11  4110·2
 2005 10  2210.5
 2005 09  7111·4
 2005 08  6111·4
 2005 07  4612·1
 2005 06  5511.2
 2005 05  2211.4
 2005 04  3811.0
 2005 03  2410.8
 2005 02  3710.1
 2005 01  9611.1
 2004 12 2911.0
 2004 11 5510·8
 2004 10 8211·5
 2004 09 3611.8
 2004 08 1111.3
 2004 07 4611.4
 2004 06 2610·4
 2004 05 1110·4
 2004 04 8410·1
 2004 03 2910.1
 2004 02 348.9
 2004 01 169.6
 2003 12  7311.2
 2003 11  6011·1
 2003 10  9211.2
 2003 09  7010·6
 2003 08  299·8
 2003 07  2210·3
 2003 06  1510·3
 2003 05  1611.1
 2003 04  2710.5
 2003 03  2010.7
 2003 02  3910·5
 2003 01  2410·8
 2002 12 6811·8
 2002 11 8710.8
 2002 10 279.9
 2002 09 889·8
 2002 08 769.7
 2002 07 798.8
 2002 06 689·4
 2002 05 289.1
 2002 04 39.0
 2002 03 779·3
 2002 02 7510·5
 2002 01 8710.8
 2001 12  2311.7
 2001 11  8912.0
 2001 10  8411·5
 2001 09  3411.0
 2001 08  3810·8
 2001 07  4510·9
 2001 06  6010.6
 2001 05  6410.4
 2001 04  7210.4
 2001 03  49·4


 2001 02  909.8
 2001 01  9610·9
 2000 12 7611·7
 2000 11 4510.9
 2000 10 8710.2
 2000 09 7411·3
 2000 08 2510.9
 2000 07 7610·7
 2000 06 8811·2
 2000 05 6710.3
 2000 04 2010.5
 2000 03 299.7
 2000 02 5710·4
 2000 01 6910.5
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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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