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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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 2014 08 5010·2
 2014 07 6111.5
 2014 06 511.2
 2014 05 7311.4
 2014 04 7911·0
 2014 03 3910.9
 2014 02 7311·2
 2014 01 2711·9
 2013 12  3111.1
 2013 11  7311·0
 2013 10  9710.4
 2013 09  3610.1
 2013 08  5710·6
 2013 07  4311·3
 2013 06  9211.1
 2013 05  4311·0
 2013 04  3011·9
 2013 03  5610.6
 2013 02  9411.4
 2013 01  1911·4
 2012 12 5310·7
 2012 11 4310·9
 2012 10 6811.0
 2012 09 5711·8
 2012 08 4910·6
 2012 07 6211.8
 2012 06 011·1
 2012 05 7711·4
 2012 04 7011·7
 2012 03 9410.7
 2012 02 411·3
 2012 01 2211.3
 2011 12  9111.6
 2011 11  4512·0
 2011 10  1710·7
 2011 09  6311·4
 2011 08  1211·2
 2011 07  4711.9
 2011 06  311·4
 2011 05  9211·4
 2011 04  5911·8
 2011 03  5811·3
 2011 02  4811·9
 2011 01  2911.4
 2010 12 8211·4
 2010 11 5712·1
 2010 10 6811.5
 2010 09 1811.7
 2010 08 5711.0
 2010 07 5310·8
 2010 06 9812.1
 2010 05 2811.8
 2010 04 8311·5
 2010 03 7711·2
 2010 02 210.7
 2010 01 5410.4
 2009 12  8711.1
 2009 11  8511·8
 2009 10  6811·5
 2009 09  1511.9
 2009 08  1812·4
 2009 07  5911.8
 2009 06  911·1
 2009 05  5410·4
 2009 04  5310.1
 2009 03  610·1
 2009 02  6210·4
 2009 01  4110·8
 2008 12 9111·9
 2008 11 5711.2
 2008 10 9110.6
 2008 09 7111·1
 2008 08 5810.3
 2008 07 6911·1
 2008 06 8311.6
 2008 05 6111.2
 2008 04 411.3
 2008 03 2410.8
 2008 02 5211.4
 2008 01 5711.2
 2007 12  412·2
 2007 11  2812·1
 2007 10  3412·2
 2007 09  2711·5
 2007 08  6010.7
 2007 07  1311.5
 2007 06  9412·4
 2007 05  6611.8
 2007 04  9611·4
 2007 03  3511·0
 2007 02  1911·7
 2007 01  9212·0
 2006 12 6312.4
 2006 11 7711.2
 2006 10 2210.4
 2006 09 5010.1
 2006 08 3610.2
 2006 07 4411·5
 2006 06 4011.8
 2006 05 1011.0
 2006 04 1510·5
 2006 03 6910·5
 2006 02 3710·4
 2006 01 6410.5
 2005 12  2711·0
 2005 11  810·2
 2005 10  110.5
 2005 09  3311·4
 2005 08  2111.4
 2005 07  4312·1
 2005 06  4411·2
 2005 05  6011.4
 2005 04  7211·0
 2005 03  8010·8
 2005 02  410.1
 2005 01  1511·1
 2004 12 8211·0
 2004 11 5110.8
 2004 10 4511.5
 2004 09 9111·8
 2004 08 7511·3
 2004 07 1211.4
 2004 06 5310·4
 2004 05 910·4
 2004 04 210·1
 2004 03 4610·1
 2004 02 438·9
 2004 01 119.6
 2003 12  3911·2
 2003 11  5911·1
 2003 10  5111·2
 2003 09  6810.6
 2003 08  859.8
 2003 07  8310.3
 2003 06  4210.3
 2003 05  7211·1
 2003 04  6610.5
 2003 03  7310·7
 2003 02  110.5
 2003 01  4410·8
 2002 12 3311.8
 2002 11 1310·8
 2002 10 449·9
 2002 09 289.8
 2002 08 619·7
 2002 07 88.8
 2002 06 79.4
 2002 05 929.1
 2002 04 509.0
 2002 03 909.3
 2002 02 5310·5
 2002 01 3210.8
 2001 12  2511·7
 2001 11  1612.0
 2001 10  7111·5
 2001 09  6511.0
 2001 08  3810.8
 2001 07  6810.9
 2001 06  7210·6
 2001 05  3610.4
 2001 04  6310·4
 2001 03  519·4


 2001 02  969.8
 2001 01  1510·9
 2000 12 111·7
 2000 11 9810.9
 2000 10 410.2
 2000 09 9511·3
 2000 08 7710·9
 2000 07 6610·7
 2000 06 8611·2
 2000 05 9510·3
 2000 04 4210·5
 2000 03 369.7
 2000 02 5310.4
 2000 01 6010·5
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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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