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 Series Title: Percent Distribution: Employed in Sales and Related Occupations, Black or African American, Women: NSA
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 2016 07 2310.4
 2016 06 9011·0
 2016 05 1711·5
 2016 04 1510·7
 2016 03 1610.7
 2016 02 5510·8
 2016 01 6910.5
 2015 12  2710·1
 2015 11  7410·9
 2015 10  1811.1
 2015 09  2210·2
 2015 08  3710·7
 2015 07  5010.8
 2015 06  6211·2
 2015 05  8911·3
 2015 04  9010.9
 2015 03  1710.7
 2015 02  9210·2
 2015 01  89.9
 2014 12 5610.5
 2014 11 7811.8
 2014 10 4111·1
 2014 09 4110·6
 2014 08 2710·2
 2014 07 5611·5
 2014 06 6511·2
 2014 05 7611.4
 2014 04 2411.0
 2014 03 210.9
 2014 02 4511·2
 2014 01 2711.9
 2013 12  9011·1
 2013 11  9211.0
 2013 10  8910·4
 2013 09  3110·1
 2013 08  9410·6
 2013 07  2611.3
 2013 06  2711.1
 2013 05  5211·0
 2013 04  3111.9
 2013 03  2910.6
 2013 02  1811.4
 2013 01  7611.4
 2012 12 2010.7
 2012 11 5310.9
 2012 10 4111.0
 2012 09 1711.8
 2012 08 510.6
 2012 07 7111·8
 2012 06 511.1
 2012 05 1311.4
 2012 04 5511.7
 2012 03 8610·7
 2012 02 3911.3
 2012 01 2711.3
 2011 12  6411.6
 2011 11  2112·0
 2011 10  310·7
 2011 09  4611·4
 2011 08  5111·2
 2011 07  2811·9
 2011 06  7511.4
 2011 05  8411.4
 2011 04  6111.8
 2011 03  8111·3
 2011 02  6511.9
 2011 01  7911·4
 2010 12 6311.4
 2010 11 8212.1
 2010 10 211.5
 2010 09 9211·7
 2010 08 5011.0
 2010 07 5510·8
 2010 06 4412·1
 2010 05 1311·8
 2010 04 4211·5
 2010 03 5111·2
 2010 02 7310·7
 2010 01 5310·4
 2009 12  8411·1
 2009 11  4611.8
 2009 10  9411·5
 2009 09  5211·9
 2009 08  4312·4
 2009 07  4011·8
 2009 06  4011.1
 2009 05  7210·4
 2009 04  1510.1
 2009 03  5710·1
 2009 02  6810·4
 2009 01  010·8
 2008 12 1811·9
 2008 11 4911.2
 2008 10 5810.6
 2008 09 5011·1
 2008 08 9710·3
 2008 07 9111·1
 2008 06 1811.6
 2008 05 5911·2
 2008 04 2111·3
 2008 03 8410·8
 2008 02 7911·4
 2008 01 9111·2
 2007 12  8312·2
 2007 11  5212.1
 2007 10  9812.2
 2007 09  3311·5
 2007 08  410·7
 2007 07  4611.5
 2007 06  5612.4
 2007 05  9811.8
 2007 04  2711.4
 2007 03  4111·0
 2007 02  6011.7
 2007 01  2412.0
 2006 12 2112·4
 2006 11 3911.2
 2006 10 4310.4
 2006 09 7410.1
 2006 08 8110.2
 2006 07 6411·5
 2006 06 5911.8
 2006 05 3611.0
 2006 04 2510.5
 2006 03 6610·5
 2006 02 9210·4
 2006 01 2310·5
 2005 12  9811·0
 2005 11  2210.2
 2005 10  4810·5
 2005 09  7311.4
 2005 08  6811·4
 2005 07  3112.1
 2005 06  5711.2
 2005 05  4811·4
 2005 04  3111.0
 2005 03  1910.8
 2005 02  7810·1
 2005 01  3611·1
 2004 12 511.0
 2004 11 3610.8
 2004 10 9111.5
 2004 09 5111·8
 2004 08 3511.3
 2004 07 5811.4
 2004 06 410·4
 2004 05 2910·4
 2004 04 8810·1
 2004 03 8410.1
 2004 02 478.9
 2004 01 359·6
 2003 12  6111·2
 2003 11  4111·1
 2003 10  7811.2
 2003 09  5610·6
 2003 08  719.8
 2003 07  7910·3
 2003 06  7810·3
 2003 05  511.1
 2003 04  6310.5
 2003 03  7310·7
 2003 02  5410.5
 2003 01  2010.8
 2002 12 611.8
 2002 11 2410.8
 2002 10 389.9
 2002 09 639.8
 2002 08 949·7
 2002 07 578.8
 2002 06 859.4
 2002 05 229.1
 2002 04 469.0
 2002 03 229.3
 2002 02 7910.5
 2002 01 1110.8
 2001 12  711·7
 2001 11  9412·0
 2001 10  2411.5
 2001 09  6811·0
 2001 08  4510·8
 2001 07  7510.9
 2001 06  5410·6
 2001 05  5510.4
 2001 04  5510·4
 2001 03  909.4


 2001 02  249·8
 2001 01  5910·9
 2000 12 5611·7
 2000 11 8810·9
 2000 10 1710.2
 2000 09 9511.3
 2000 08 9210·9
 2000 07 4610.7
 2000 06 3811.2
 2000 05 010·3
 2000 04 3210.5
 2000 03 639.7
 2000 02 2010·4
 2000 01 3610·5
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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
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