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 Series Title: Multiple Jobholders as a Percent of Employed, 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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 1994 01 114·2
 1994 02 954·4
 1994 03 464.7
 1994 04 745·2
 1994 05 114.3
 1994 06 934·5
 1994 07 564·6
 1994 08 693·6
 1994 09 784·2
 1994 10 894.4
 1994 11 674.3
 1994 12 624.8
 1995 01  614.9
 1995 02  655·2
 1995 03  925·0
 1995 04  985.0
 1995 05  364·3
 1995 06  295·2
 1995 07  684·5
 1995 08  464·1
 1995 09  44.5
 1995 10  104.6
 1995 11  594·6
 1995 12  05·0
 1996 01 904·7
 1996 02 674.8
 1996 03 524·9
 1996 04 804.2
 1996 05 444·5
 1996 06 804.2
 1996 07 613·9
 1996 08 283.8
 1996 09 424.5
 1996 10 565·0
 1996 11 235.8
 1996 12 165·4
 1997 01  845.1
 1997 02  284.8
 1997 03  15.0
 1997 04  364·7
 1997 05  955·2
 1997 06  514.5
 1997 07  834.5
 1997 08  74.2
 1997 09  265.2
 1997 10  75.5
 1997 11  825.4
 1997 12  755·9
 1998 01 534·8
 1998 02 44·9
 1998 03 364.9
 1998 04 84·4
 1998 05 754.7
 1998 06 714.6
 1998 07 85.1
 1998 08 05.2
 1998 09 185·5
 1998 10 675.6
 1998 11 856·0
 1998 12 705·9
 1999 01  335·0
 1999 02  735.3
 1999 03  815·3
 1999 04  635.0
 1999 05  944.7
 1999 06  953·9
 1999 07  334.2
 1999 08  475.1
 1999 09  24.6
 1999 10  654.5
 1999 11  44.9
 1999 12  175·8
 2000 01 845.4
 2000 02 405·6
 2000 03 824·7
 2000 04 924·6
 2000 05 885·3
 2000 06 15·0
 2000 07 815·4
 2000 08 164·7
 2000 09 905.1
 2000 10 565.2
 2000 11 375·3
 2000 12 595·7
 2001 01  914·4
 2001 02  354·9
 2001 03  155.4
 2001 04  134.7
 2001 05  174·8
 2001 06  954.6
 2001 07  14.7
 2001 08  993.8
 2001 09  174.0
 2001 10  184·4
 2001 11  84·2
 2001 12  614.8
 2002 01 664.6
 2002 02 105·2
 2002 03 765·2
 2002 04 684.9
 2002 05 674·7
 2002 06 45.0
 2002 07 654·7
 2002 08 134.8
 2002 09 424.4
 2002 10 564·2
 2002 11 654·3
 2002 12 163·7
 2003 01  444·2
 2003 02  474·7
 2003 03  883·7
 2003 04  223·5
 2003 05  484·0
 2003 06  853.9
 2003 07  724.1
 2003 08  994·1
 2003 09  533·5
 2003 10  03.7
 2003 11  804·3
 2003 12  414·3
 2004 01 864·0
 2004 02 494.0
 2004 03 03·9
 2004 04 683·9
 2004 05 964·7
 2004 06 154·7
 2004 07 454.6
 2004 08 243·9
 2004 09 604·3
 2004 10 34.5
 2004 11 524.5
 2004 12 784·9
 2005 01  764.4
 2005 02  455·7
 2005 03  855·3
 2005 04  234·5
 2005 05  723.9
 2005 06  994.7
 2005 07  315·3
 2005 08  804·9
 2005 09  975·2
 2005 10  454.4
 2005 11  35.1
 2005 12  925·4
 2006 01 275.4
 2006 02 905·3
 2006 03 405.5
 2006 04 294·9
 2006 05 614.7
 2006 06 674.1
 2006 07 44.4
 2006 08 844.3
 2006 09 265.0
 2006 10 305.1
 2006 11 825.8
 2006 12 774·9
 2007 01  724·7
 2007 02  634.9
 2007 03  894.4
 2007 04  523.9
 2007 05  744.3
 2007 06  724·2
 2007 07  614·6
 2007 08  774·0
 2007 09  323·8
 2007 10  884·3
 2007 11  625.0
 2007 12  485·1
 2008 01 725.2
 2008 02 694·5
 2008 03 804.4
 2008 04 834·9
 2008 05 454.6
 2008 06 954·3
 2008 07 274·2
 2008 08 274.3
 2008 09 264·2
 2008 10 734·7
 2008 11 414.2
 2008 12 484·5
 2009 01  144.7
 2009 02  364.6
 2009 03  855·1
 2009 04  415.2
 2009 05  375·0
 2009 06  394·7
 2009 07  484·8
 2009 08  254·5
 2009 09  434·7
 2009 10  645.3
 2009 11  414.8
 2009 12  434.4
 2010 01 84.6
 2010 02 194.7
 2010 03 44·0
 2010 04 664·1
 2010 05 334·1
 2010 06 333·8
 2010 07 984·1
 2010 08 873.9
 2010 09 445.1
 2010 10 664.8
 2010 11 124·2
 2010 12 264·8
 2011 01  894·6
 2011 02  974·4
 2011 03  584.4
 2011 04  264·4
 2011 05  464·6
 2011 06  334·0
 2011 07  753·6
 2011 08  573.9
 2011 09  144.5
 2011 10  74.4
 2011 11  254·5
 2011 12  124.8
 2012 01 184.1
 2012 02 744.9
 2012 03 974·7
 2012 04 124·0
 2012 05 104·6
 2012 06 174.5
 2012 07 23·7
 2012 08 03·5
 2012 09 644·0
 2012 10 424·6
 2012 11 804.8
 2012 12 454·6
 2013 01  804.5
 2013 02  805·4
 2013 03  925.2
 2013 04  414·8
 2013 05  854·3
 2013 06  894·3
 2013 07  274·4
 2013 08  84·3
 2013 09  294·0
 2013 10  504.5
 2013 11  984·9
 2013 12  905·1
 2014 01 875.1
 2014 02 705·0
 2014 03 425.0
 2014 04 554.9
 2014 05 585·0
 2014 06 804.2
 2014 07 234.1
 2014 08 984·3
 2014 09 704·6
 2014 10 365.2
 2014 11 285.3
 2014 12 395·1
 2015 01  724·8
 2015 02  225·0
 2015 03  715·0
 2015 04  214.2
 2015 05  405.1
 2015 06  424.6
 2015 07  884·6
 2015 08  134·5
 2015 09  734·5
 2015 10  295.2
 2015 11  445.6
 2015 12  96.1
 2016 01 985.3
 2016 02 405·0
 2016 03 265·4
 2016 04 305·1
 2016 05 645.4
 2016 06 565·1
 2016 07 465.5
 2016 08 185·2
 2016 09 485·8
 2016 10 846·2
 2016 11 435.4
 2016 12 434·8
 2017 01  495.0
 2017 02  555.4


 2017 03  806·0
 2017 04  994.9
 2017 05  934.9
 2017 06  265·0
 2017 07  445·1
 2017 08  54·7
 2017 09  304.8
 2017 10  785.2
 2017 11  485.8
 2017 12  65.4
 2018 01 364·9
 2018 02 195·4
 2018 03 315.4
 2018 04 705·1
 2018 05 114·6
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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: Multiple Jobholders as a Percent of Employed, 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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