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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 01  709.9
 2014 12 7710.5
 2014 11 5511·8
 2014 10 9011·1
 2014 09 8910.6
 2014 08 6210.2
 2014 07 2111·5
 2014 06 911·2
 2014 05 4911.4
 2014 04 2011·0
 2014 03 6310.9
 2014 02 211·2
 2014 01 011.9
 2013 12  3411·1
 2013 11  9311·0
 2013 10  1310.4
 2013 09  1910.1
 2013 08  910·6
 2013 07  5111·3
 2013 06  1111·1
 2013 05  511·0
 2013 04  7811.9
 2013 03  9710.6
 2013 02  8911·4
 2013 01  8511.4
 2012 12 9610.7
 2012 11 2210.9
 2012 10 6811.0
 2012 09 711.8
 2012 08 4710·6
 2012 07 3611.8
 2012 06 9211·1
 2012 05 4811·4
 2012 04 3511·7
 2012 03 7910.7
 2012 02 2911·3
 2012 01 911.3
 2011 12  9411.6
 2011 11  1312.0
 2011 10  7310.7
 2011 09  1311.4
 2011 08  7911·2
 2011 07  2611.9
 2011 06  4411.4
 2011 05  1311·4
 2011 04  7311.8
 2011 03  3111.3
 2011 02  8711.9
 2011 01  8311.4
 2010 12 8111.4
 2010 11 6612·1
 2010 10 6911.5
 2010 09 2311.7
 2010 08 3611·0
 2010 07 9310.8
 2010 06 8612·1
 2010 05 5911.8
 2010 04 9411·5
 2010 03 111.2
 2010 02 5510.7
 2010 01 4210.4
 2009 12  3611.1
 2009 11  311.8
 2009 10  2311·5
 2009 09  4711.9
 2009 08  7112·4
 2009 07  3611.8
 2009 06  5711.1
 2009 05  7410·4
 2009 04  2810·1
 2009 03  6310·1
 2009 02  5110·4
 2009 01  4810·8
 2008 12 6511·9
 2008 11 7211.2
 2008 10 2610.6
 2008 09 2111.1
 2008 08 6310.3
 2008 07 7611·1
 2008 06 2511·6
 2008 05 6711·2
 2008 04 3011.3
 2008 03 1410.8
 2008 02 1711·4
 2008 01 8611.2
 2007 12  9612·2
 2007 11  4712.1
 2007 10  9612.2
 2007 09  511.5
 2007 08  1810·7
 2007 07  6411.5
 2007 06  8212·4
 2007 05  7311.8
 2007 04  7811.4
 2007 03  7711·0
 2007 02  1811.7
 2007 01  6612.0
 2006 12 8312.4
 2006 11 2511·2
 2006 10 7410.4
 2006 09 8510·1
 2006 08 6410·2
 2006 07 7111.5
 2006 06 4411.8
 2006 05 5411.0
 2006 04 7810.5
 2006 03 110.5
 2006 02 4710·4
 2006 01 2510·5
 2005 12  611.0
 2005 11  3010.2
 2005 10  2810.5
 2005 09  7111·4
 2005 08  5611·4
 2005 07  9512·1
 2005 06  5411.2
 2005 05  9511·4
 2005 04  5811·0
 2005 03  5910.8
 2005 02  2110·1
 2005 01  2111.1
 2004 12 6911.0
 2004 11 1010.8
 2004 10 4811·5
 2004 09 011·8
 2004 08 7211.3
 2004 07 6011.4
 2004 06 7810·4
 2004 05 710·4
 2004 04 7210.1
 2004 03 4810·1
 2004 02 818.9
 2004 01 429·6
 2003 12  211·2
 2003 11  3711.1
 2003 10  5211.2
 2003 09  3110.6
 2003 08  189.8
 2003 07  1410.3
 2003 06  810·3
 2003 05  2411·1
 2003 04  110·5
 2003 03  9210·7
 2003 02  9510.5
 2003 01  9710.8
 2002 12 5811.8
 2002 11 1010·8
 2002 10 819·9
 2002 09 509·8
 2002 08 229·7
 2002 07 308.8
 2002 06 619·4
 2002 05 89.1
 2002 04 489.0
 2002 03 399.3
 2002 02 5310.5
 2002 01 2210·8
 2001 12  1811.7
 2001 11  5212.0
 2001 10  211.5
 2001 09  6711.0
 2001 08  3910.8
 2001 07  510·9
 2001 06  7810·6
 2001 05  4410.4
 2001 04  4210.4
 2001 03  629.4


 2001 02  739·8
 2001 01  7810.9
 2000 12 8411·7
 2000 11 1010·9
 2000 10 810.2
 2000 09 1911·3
 2000 08 4710.9
 2000 07 6310.7
 2000 06 2611.2
 2000 05 4310·3
 2000 04 3810·5
 2000 03 589·7
 2000 02 9710·4
 2000 01 5010·5
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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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