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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 06  6211·2
 2015 05  8111·3
 2015 04  6010·9
 2015 03  4610.7
 2015 02  1010.2
 2015 01  239.9
 2014 12 6110.5
 2014 11 2911·8
 2014 10 1111.1
 2014 09 5110.6
 2014 08 5110.2
 2014 07 9811·5
 2014 06 1711.2
 2014 05 4711·4
 2014 04 4211.0
 2014 03 9710·9
 2014 02 211·2
 2014 01 1711·9
 2013 12  7211·1
 2013 11  9611·0
 2013 10  6810·4
 2013 09  9310.1
 2013 08  410·6
 2013 07  8811·3
 2013 06  3911·1
 2013 05  3111.0
 2013 04  2611·9
 2013 03  9310·6
 2013 02  6511·4
 2013 01  1411·4
 2012 12 5110.7
 2012 11 5510.9
 2012 10 2311·0
 2012 09 4711.8
 2012 08 1710.6
 2012 07 4311.8
 2012 06 1211·1
 2012 05 6311·4
 2012 04 8611·7
 2012 03 5110·7
 2012 02 5911.3
 2012 01 1811.3
 2011 12  4711·6
 2011 11  9812.0
 2011 10  1210·7
 2011 09  9411.4
 2011 08  1211·2
 2011 07  2911·9
 2011 06  4911·4
 2011 05  9711.4
 2011 04  2011·8
 2011 03  1211.3
 2011 02  6811·9
 2011 01  5911.4
 2010 12 3211.4
 2010 11 4212·1
 2010 10 9611·5
 2010 09 3711.7
 2010 08 3811·0
 2010 07 3810·8
 2010 06 8312·1
 2010 05 1211·8
 2010 04 5011·5
 2010 03 4411.2
 2010 02 410·7
 2010 01 9010·4
 2009 12  611.1
 2009 11  2911·8
 2009 10  6011·5
 2009 09  511·9
 2009 08  6912.4
 2009 07  8711·8
 2009 06  7711.1
 2009 05  1210·4
 2009 04  2610·1
 2009 03  3810.1
 2009 02  310.4
 2009 01  9210·8
 2008 12 9111.9
 2008 11 2511.2
 2008 10 1610·6
 2008 09 5311·1
 2008 08 110·3
 2008 07 1811·1
 2008 06 1411.6
 2008 05 2711·2
 2008 04 1911·3
 2008 03 1010.8
 2008 02 2511.4
 2008 01 6911.2
 2007 12  3412·2
 2007 11  2212.1
 2007 10  9712·2
 2007 09  6111.5
 2007 08  5810.7
 2007 07  9711.5
 2007 06  712.4
 2007 05  1111·8
 2007 04  2911.4
 2007 03  411·0
 2007 02  5411·7
 2007 01  4912·0
 2006 12 912.4
 2006 11 3711.2
 2006 10 6510.4
 2006 09 3210·1
 2006 08 8810·2
 2006 07 1611·5
 2006 06 9011.8
 2006 05 4311.0
 2006 04 7710.5
 2006 03 8510·5
 2006 02 310.4
 2006 01 8710·5
 2005 12  1511.0
 2005 11  1310.2
 2005 10  610·5
 2005 09  9611.4
 2005 08  6411.4
 2005 07  9312.1
 2005 06  2411·2
 2005 05  2811.4
 2005 04  1311.0
 2005 03  4610.8
 2005 02  610.1
 2005 01  6311.1
 2004 12 7411.0
 2004 11 1510·8
 2004 10 3011.5
 2004 09 811.8
 2004 08 8511·3
 2004 07 6911.4
 2004 06 9410.4
 2004 05 9510.4
 2004 04 910.1
 2004 03 310·1
 2004 02 258·9
 2004 01 809.6
 2003 12  3311·2
 2003 11  3511.1
 2003 10  7211.2
 2003 09  4510.6
 2003 08  729·8
 2003 07  1010.3
 2003 06  1110.3
 2003 05  9811.1
 2003 04  6210.5
 2003 03  9710·7
 2003 02  4310.5
 2003 01  6810.8
 2002 12 6711·8
 2002 11 9010.8
 2002 10 939.9
 2002 09 149.8
 2002 08 759·7
 2002 07 98.8
 2002 06 119·4
 2002 05 169·1
 2002 04 989·0
 2002 03 979.3
 2002 02 7310·5
 2002 01 8210.8
 2001 12  7411.7
 2001 11  2312·0
 2001 10  7911·5
 2001 09  4211.0
 2001 08  6610.8
 2001 07  8210·9
 2001 06  5510·6
 2001 05  5510·4
 2001 04  6210·4
 2001 03  939·4


 2001 02  509.8
 2001 01  010·9
 2000 12 7511.7
 2000 11 9910.9
 2000 10 4010·2
 2000 09 8511·3
 2000 08 4310·9
 2000 07 7110·7
 2000 06 2611·2
 2000 05 4210·3
 2000 04 2910·5
 2000 03 29.7
 2000 02 3410·4
 2000 01 2710·5
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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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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