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 Series Title: Employment Level: Multiple Jobholders 65 years and over, 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 7352.
 1994 02 7942·
 1994 03 7719·
 1994 04 4414.
 1994 05 8314.
 1994 06 9717.
 1994 07 9229·
 1994 08 531·
 1994 09 5243·
 1994 10 724.
 1994 11 332·
 1994 12 5927.
 1995 01  3138·
 1995 02  9028·
 1995 03  2050.
 1995 04  4928·
 1995 05  9730·
 1995 06  5431.
 1995 07  8440.
 1995 08  4532·
 1995 09  4948.
 1995 10  3152.
 1995 11  5538.
 1995 12  4144.
 1996 01 1235.
 1996 02 7647.
 1996 03 2339.
 1996 04 5642·
 1996 05 3834·
 1996 06 7229·
 1996 07 033.
 1996 08 3438.
 1996 09 140·
 1996 10 2457.
 1996 11 2456.
 1996 12 4450·
 1997 01  144.
 1997 02  6546.
 1997 03  5837.
 1997 04  8140·
 1997 05  6537.
 1997 06  5233.
 1997 07  9040.
 1997 08  6342·
 1997 09  4337.
 1997 10  6646·
 1997 11  3248·
 1997 12  3536·
 1998 01 1033.
 1998 02 1329.
 1998 03 2344·
 1998 04 6545·
 1998 05 6647.
 1998 06 2646·
 1998 07 2533·
 1998 08 4927.
 1998 09 3635.
 1998 10 6048.
 1998 11 2739.
 1998 12 539.
 1999 01  7236.
 1999 02  9848·
 1999 03  4137.
 1999 04  7745.
 1999 05  4941·
 1999 06  4652·
 1999 07  540·
 1999 08  3458.
 1999 09  6651.
 1999 10  3645.
 1999 11  8241.
 1999 12  7141.
 2000 01 5055·
 2000 02 2563·
 2000 03 6062·
 2000 04 660.
 2000 05 5057·
 2000 06 9347·
 2000 07 5246.
 2000 08 8537.
 2000 09 4334·
 2000 10 4970.
 2000 11 9554·
 2000 12 7567.
 2001 01  2871·
 2001 02  2241·
 2001 03  5453·
 2001 04  7154.
 2001 05  3154·
 2001 06  7152.
 2001 07  1460·
 2001 08  9359·
 2001 09  252.
 2001 10  7766·
 2001 11  9039·
 2001 12  8461·
 2002 01 1761·
 2002 02 4564·
 2002 03 1962.
 2002 04 1356·
 2002 05 7657.
 2002 06 946.
 2002 07 6451·
 2002 08 7551·
 2002 09 573.
 2002 10 2467·
 2002 11 1488·
 2002 12 8980.
 2003 01  5363·
 2003 02  7370.
 2003 03  8056·
 2003 04  9956.
 2003 05  9754·
 2003 06  6162.
 2003 07  168·
 2003 08  7464.
 2003 09  3674.
 2003 10  2169·
 2003 11  4091·
 2003 12  876·
 2004 01 9660·
 2004 02 961.
 2004 03 8462·
 2004 04 2079.
 2004 05 2885.
 2004 06 754·
 2004 07 4774·
 2004 08 5584.
 2004 09 7102.
 2004 10 2174.
 2004 11 6667.
 2004 12 8281.
 2005 01  3250·
 2005 02  8462.
 2005 03  587·
 2005 04  9483·
 2005 05  3195·
 2005 06  5167.
 2005 07  5166·
 2005 08  1171·
 2005 09  52100·
 2005 10  494·
 2005 11  1684.
 2005 12  78102·
 2006 01 7171.
 2006 02 5188·
 2006 03 4072.
 2006 04 6286.
 2006 05 9067·
 2006 06 2257·
 2006 07 8570·
 2006 08 5951·
 2006 09 3289·
 2006 10 7471.
 2006 11 3878·
 2006 12 87101.
 2007 01  50105.
 2007 02  89101.
 2007 03  13109.
 2007 04  9192·
 2007 05  1788.
 2007 06  7470.
 2007 07  4769·
 2007 08  4065.
 2007 09  34105.
 2007 10  6084.
 2007 11  4112·
 2007 12  2894.
 2008 01 27103·
 2008 02 490.
 2008 03 7194.
 2008 04 7393·
 2008 05 46100.
 2008 06 8889.
 2008 07 6192·
 2008 08 2187.
 2008 09 6792.
 2008 10 1778·
 2008 11 1299·
 2008 12 40113.
 2009 01  89120.
 2009 02  2493·
 2009 03  8791.
 2009 04  2599·
 2009 05  3980·
 2009 06  6669.
 2009 07  7486·
 2009 08  9482·
 2009 09  6796·
 2009 10  24104·
 2009 11  8694.
 2009 12  9287·
 2010 01 4780·
 2010 02 494·
 2010 03 6177.
 2010 04 8882·
 2010 05 8177·
 2010 06 3967·
 2010 07 6061·
 2010 08 7589·
 2010 09 94110.
 2010 10 85105·
 2010 11 7499·
 2010 12 7489.
 2011 01  3677.
 2011 02  2388.
 2011 03  13103.
 2011 04  29110.
 2011 05  8373·
 2011 06  61100·
 2011 07  1769·
 2011 08  785.
 2011 09  35103.
 2011 10  2996·
 2011 11  48100·
 2011 12  5108.
 2012 01 1779·
 2012 02 8565·
 2012 03 94114.
 2012 04 4066·
 2012 05 8086·
 2012 06 1077.
 2012 07 6883·
 2012 08 57106.
 2012 09 99151.
 2012 10 11120.
 2012 11 7104·
 2012 12 25107·
 2013 01  7481.
 2013 02  1994·
 2013 03  76127·
 2013 04  38138.
 2013 05  32107.
 2013 06  92115·
 2013 07  60102.
 2013 08  15137.
 2013 09  22119·
 2013 10  10106.
 2013 11  74103·
 2013 12  192·
 2014 01 2096.
 2014 02 81131·
 2014 03 56115·
 2014 04 64151.
 2014 05 26136.
 2014 06 36116.
 2014 07 67119.
 2014 08 99118.
 2014 09 6599.
 2014 10 31118.
 2014 11 97113.
 2014 12 25116·
 2015 01  88130.
 2015 02  48152.
 2015 03  58180·
 2015 04  86176.
 2015 05  71185.
 2015 06  95138·
 2015 07  87132·
 2015 08  51116.
 2015 09  13135.
 2015 10  2117.
 2015 11  49148·
 2015 12  15137·
 2016 01 41158.
 2016 02 26201.
 2016 03 30187·
 2016 04 95183·
 2016 05 3163.
 2016 06 49112.
 2016 07 43145.
 2016 08 38114·
 2016 09 77151.
 2016 10 78170·
 2016 11 27167·
 2016 12 11145.
 2017 01  62133·
 2017 02  44135·
 2017 03  45131·
 2017 04  8140.
 2017 05  84114.
 2017 06  4129·


 2017 07  83110.
 2017 08  50125·
 2017 09  93151·
 2017 10  39171.
 2017 11  56170.
 2017 12  80178.
 2018 01 64184.
 2018 02 56149.
 2018 03 1161·
 2018 04 67156.
 2018 05 98143.
 2018 06 86142·
 2018 07 80177·
 2018 08 6158·
 2018 09 20150·
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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 Level: Multiple Jobholders 65 years and over, 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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