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 Series Title: Employment: Multiple Jobholders, nonagricultural wage and salary workers on primary job: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 817275.
 2000 02 197362.
 2000 03 897282·
 2000 04 607305·
 2000 05 297298.
 2000 06 936833.
 2000 07 537109·
 2000 08 376646.
 2000 09 567064·
 2000 10 787158·
 2000 11 307061.
 2000 12 257370·
 2001 01  126841·
 2001 02  557283.
 2001 03  347229.
 2001 04  686904.
 2001 05  737151·
 2001 06  326981.
 2001 07  26988.
 2001 08  366588.
 2001 09  386857.
 2001 10  396731.
 2001 11  976718·
 2001 12  226936.
 2002 01 356642·
 2002 02 347084·
 2002 03 77113.
 2002 04 466949.
 2002 05 126827·
 2002 06 996893·
 2002 07 446822·
 2002 08 526470.
 2002 09 456862.
 2002 10 396881·
 2002 11 486834.
 2002 12 97206.
 2003 01  356785.
 2003 02  867216.
 2003 03  806967·
 2003 04  126759·
 2003 05  66981.
 2003 06  986917·
 2003 07  296907·
 2003 08  786779.
 2003 09  106721.
 2003 10  557033.
 2003 11  76855·
 2003 12  536831·
 2004 01 226717·
 2004 02 656857·
 2004 03 536959·
 2004 04 56872·
 2004 05 426840·
 2004 06 586996·
 2004 07 287132·
 2004 08 296988.
 2004 09 957216·
 2004 10 937588·
 2004 11 227231.
 2004 12 447402·
 2005 01  336811·
 2005 02  497150.
 2005 03  477113.
 2005 04  946955·
 2005 05  296898·
 2005 06  357221·
 2005 07  417211·
 2005 08  486806·
 2005 09  867260·
 2005 10  817349.
 2005 11  667161.
 2005 12  17289·
 2006 01 277036·
 2006 02 457014·
 2006 03 117183.
 2006 04 716932·
 2006 05 47221·
 2006 06 76829·
 2006 07 897049·
 2006 08 26809.
 2006 09 927271.
 2006 10 757414.
 2006 11 377416·
 2006 12 647533.
 2007 01  917179.
 2007 02  797336·
 2007 03  187396.
 2007 04  517414.
 2007 05  277264·
 2007 06  787105.
 2007 07  217221·
 2007 08  826841.
 2007 09  507211·
 2007 10  527368·
 2007 11  587379.
 2007 12  17145·
 2008 01 356948·
 2008 02 87189·
 2008 03 667095.
 2008 04 777186.
 2008 05 837200.
 2008 06 787271.
 2008 07 107286·
 2008 08 47284·
 2008 09 197303·
 2008 10 187384·
 2008 11 767119.
 2008 12 37020.
 2009 01  946856.
 2009 02  117246·
 2009 03  787302·
 2009 04  157382.
 2009 05  836888.
 2009 06  616678·
 2009 07  546944·
 2009 08  126400.
 2009 09  866690.
 2009 10  26820.
 2009 11  666857·
 2009 12  876519·
 2010 01 296367·
 2010 02 906777.
 2010 03 36678·
 2010 04 586691·
 2010 05 626861.
 2010 06 76521.
 2010 07 766266·
 2010 08 716176·
 2010 09 616309.
 2010 10 596417.
 2010 11 256440.
 2010 12 956484·
 2011 01  256209·
 2011 02  776441·
 2011 03  126394.
 2011 04  236477·
 2011 05  816671·
 2011 06  196468.
 2011 07  256366.
 2011 08  746299·
 2011 09  796535.
 2011 10  666556·
 2011 11  766661·
 2011 12  946674.
 2012 01 946458.
 2012 02 256733.
 2012 03 56663.
 2012 04 506580·
 2012 05 266804·
 2012 06 276338.
 2012 07 736318.
 2012 08 376238.
 2012 09 26413·
 2012 10 306570.
 2012 11 686842·
 2012 12 756696.
 2013 01  706366.
 2013 02  137006.
 2013 03  46845·
 2013 04  76662.
 2013 05  86796·
 2013 06  866660.
 2013 07  176554.
 2013 08  26436.
 2013 09  146576.
 2013 10  786616.
 2013 11  736611.
 2013 12  556572·
 2014 01 156342.
 2014 02 476729.
 2014 03 576758.
 2014 04 856809·
 2014 05 606940·
 2014 06 746563.
 2014 07 836430·
 2014 08 366388·
 2014 09 266709·
 2014 10 667357.
 2014 11 897154·
 2014 12 776962·
 2015 01  136953·
 2015 02  546850.
 2015 03  376880.
 2015 04  26600·
 2015 05  456696.
 2015 06  966666.
 2015 07  166653.
 2015 08  306503·
 2015 09  746939·
 2015 10  727215.
 2015 11  397260.
 2015 12  67462.
 2016 01 756940.
 2016 02 907082·
 2016 03 437193·
 2016 04 996976·
 2016 05 487075.
 2016 06 816687.
 2016 07 916839.
 2016 08 26892.
 2016 09 197473·
 2016 10 17673·
 2016 11 727724.
 2016 12 367331·
 2017 01  377053.
 2017 02  337614·
 2017 03  977724·
 2017 04  437216·
 2017 05  797214.
 2017 06  837048·
 2017 07  66869.
 2017 08  936600·
 2017 09  456951.


 2017 10  837010·
 2017 11  607205.
 2017 12  817423.
 2018 01 597355·
 2018 02 897721·
 2018 03 487390·
 2018 04 267188·
 2018 05 747012.
 2018 06 837079·
 2018 07 827382.
 2018 08 717043·
 2018 09 637225·
 2018 10 717625·
 2018 11 17466.
 2018 12 857555.
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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: Employment: Multiple Jobholders, nonagricultural wage and salary workers on primary job: 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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