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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 02  110·2
 2015 01  889·9
 2014 12 8110.5
 2014 11 5111.8
 2014 10 9311·1
 2014 09 610.6
 2014 08 8910.2
 2014 07 7111·5
 2014 06 6411.2
 2014 05 3411.4
 2014 04 1011.0
 2014 03 310.9
 2014 02 6411.2
 2014 01 5611.9
 2013 12  5711.1
 2013 11  9011.0
 2013 10  6810·4
 2013 09  7610·1
 2013 08  6910.6
 2013 07  211·3
 2013 06  7811.1
 2013 05  2711·0
 2013 04  811.9
 2013 03  3210.6
 2013 02  1811.4
 2013 01  6611.4
 2012 12 6210·7
 2012 11 010.9
 2012 10 3811.0
 2012 09 7411.8
 2012 08 4310.6
 2012 07 5011·8
 2012 06 1511·1
 2012 05 5811·4
 2012 04 9011·7
 2012 03 5010·7
 2012 02 4911·3
 2012 01 4911.3
 2011 12  6611·6
 2011 11  9612·0
 2011 10  6410.7
 2011 09  411.4
 2011 08  5911·2
 2011 07  611.9
 2011 06  1211·4
 2011 05  511·4
 2011 04  8111·8
 2011 03  2511·3
 2011 02  6811.9
 2011 01  5911.4
 2010 12 7011.4
 2010 11 2112.1
 2010 10 3111.5
 2010 09 9611·7
 2010 08 9011·0
 2010 07 8910·8
 2010 06 2812·1
 2010 05 7411.8
 2010 04 2711.5
 2010 03 4811.2
 2010 02 1010·7
 2010 01 7510.4
 2009 12  9611.1
 2009 11  4111·8
 2009 10  5011·5
 2009 09  411·9
 2009 08  3312·4
 2009 07  3911·8
 2009 06  5011.1
 2009 05  9410.4
 2009 04  210·1
 2009 03  3510·1
 2009 02  3510·4
 2009 01  110.8
 2008 12 9111.9
 2008 11 4911.2
 2008 10 5610·6
 2008 09 711·1
 2008 08 1210.3
 2008 07 2411·1
 2008 06 8811.6
 2008 05 1911·2
 2008 04 411·3
 2008 03 3010.8
 2008 02 3011.4
 2008 01 6711·2
 2007 12  2912.2
 2007 11  6012·1
 2007 10  1012.2
 2007 09  1011·5
 2007 08  7610.7
 2007 07  3511.5
 2007 06  7612.4
 2007 05  2711.8
 2007 04  5611.4
 2007 03  9811.0
 2007 02  511.7
 2007 01  2712·0
 2006 12 912.4
 2006 11 1811·2
 2006 10 9710.4
 2006 09 4110.1
 2006 08 9610·2
 2006 07 8911.5
 2006 06 7711·8
 2006 05 2511·0
 2006 04 610.5
 2006 03 3110.5
 2006 02 9610·4
 2006 01 6110.5
 2005 12  5211.0
 2005 11  8810.2
 2005 10  2810.5
 2005 09  5511.4
 2005 08  7211.4
 2005 07  2812.1
 2005 06  7511.2
 2005 05  4011·4
 2005 04  2811·0
 2005 03  4610.8
 2005 02  6210·1
 2005 01  7211.1
 2004 12 811·0
 2004 11 6210.8
 2004 10 3911.5
 2004 09 3211·8
 2004 08 2511·3
 2004 07 1911.4
 2004 06 8110·4
 2004 05 2810·4
 2004 04 1810·1
 2004 03 8610·1
 2004 02 908.9
 2004 01 909·6
 2003 12  4811·2
 2003 11  5711.1
 2003 10  9011.2
 2003 09  7610.6
 2003 08  59.8
 2003 07  5310.3
 2003 06  3110.3
 2003 05  6611·1
 2003 04  010·5
 2003 03  1610.7
 2003 02  9010.5
 2003 01  6910.8
 2002 12 7211.8
 2002 11 1610·8
 2002 10 669·9
 2002 09 159·8
 2002 08 849·7
 2002 07 478.8
 2002 06 859.4
 2002 05 619·1
 2002 04 239.0
 2002 03 289·3
 2002 02 9710·5
 2002 01 8910.8
 2001 12  211·7
 2001 11  412.0
 2001 10  7811.5
 2001 09  511.0
 2001 08  6010.8
 2001 07  4310·9
 2001 06  2810.6
 2001 05  4110.4
 2001 04  5910.4
 2001 03  409.4


 2001 02  739·8
 2001 01  5310.9
 2000 12 8711·7
 2000 11 1410.9
 2000 10 6210·2
 2000 09 2411·3
 2000 08 5610·9
 2000 07 810·7
 2000 06 7211.2
 2000 05 6010·3
 2000 04 610.5
 2000 03 939·7
 2000 02 210.4
 2000 01 9210.5
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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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