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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 9052·
 1994 02 7142·
 1994 03 6519·
 1994 04 6914.
 1994 05 414·
 1994 06 9217.
 1994 07 5729.
 1994 08 5631.
 1994 09 2243.
 1994 10 4924·
 1994 11 8832.
 1994 12 7927·
 1995 01  9438·
 1995 02  2328.
 1995 03  7150·
 1995 04  8228.
 1995 05  9630.
 1995 06  2231.
 1995 07  4240·
 1995 08  3432.
 1995 09  2848·
 1995 10  7752.
 1995 11  6638·
 1995 12  3044.
 1996 01 1535·
 1996 02 4447.
 1996 03 2939·
 1996 04 8942.
 1996 05 834.
 1996 06 629·
 1996 07 4533·
 1996 08 5538.
 1996 09 8240.
 1996 10 6857·
 1996 11 5256.
 1996 12 9750.
 1997 01  3844.
 1997 02  6346.
 1997 03  1337·
 1997 04  940·
 1997 05  037·
 1997 06  4733.
 1997 07  1540.
 1997 08  1042.
 1997 09  2037·
 1997 10  146.
 1997 11  7248·
 1997 12  4436·
 1998 01 7333.
 1998 02 3329·
 1998 03 2144.
 1998 04 8245.
 1998 05 5947.
 1998 06 7446·
 1998 07 2533.
 1998 08 1627.
 1998 09 435.
 1998 10 8148·
 1998 11 7339.
 1998 12 6539·
 1999 01  5736·
 1999 02  3548.
 1999 03  7637·
 1999 04  7545·
 1999 05  9541·
 1999 06  4352·
 1999 07  7340.
 1999 08  1458·
 1999 09  1751.
 1999 10  3645·
 1999 11  2741.
 1999 12  7641.
 2000 01 5055.
 2000 02 7263·
 2000 03 2662.
 2000 04 8160·
 2000 05 4257·
 2000 06 3147.
 2000 07 8246·
 2000 08 7237.
 2000 09 7134.
 2000 10 2170.
 2000 11 3354·
 2000 12 1967.
 2001 01  3671.
 2001 02  7341.
 2001 03  4353·
 2001 04  1554.
 2001 05  6354.
 2001 06  4452.
 2001 07  060·
 2001 08  8159·
 2001 09  252.
 2001 10  1666.
 2001 11  1539.
 2001 12  6061.
 2002 01 2861·
 2002 02 9464.
 2002 03 2762.
 2002 04 2156·
 2002 05 4257·
 2002 06 1146.
 2002 07 9951.
 2002 08 5851·
 2002 09 6973.
 2002 10 2467·
 2002 11 1988·
 2002 12 9180·
 2003 01  6063.
 2003 02  1370·
 2003 03  056·
 2003 04  6356.
 2003 05  9054.
 2003 06  8662·
 2003 07  7968·
 2003 08  4564.
 2003 09  5974·
 2003 10  7469.
 2003 11  2091.
 2003 12  2976.
 2004 01 9360.
 2004 02 3561·
 2004 03 1062·
 2004 04 3679·
 2004 05 4385.
 2004 06 4854·
 2004 07 6274.
 2004 08 884.
 2004 09 82102.
 2004 10 2274·
 2004 11 1467·
 2004 12 1781·
 2005 01  1350·
 2005 02  8862.
 2005 03  3087.
 2005 04  5483.
 2005 05  6095·
 2005 06  267.
 2005 07  9666·
 2005 08  4071·
 2005 09  74100.
 2005 10  4794.
 2005 11  2684·
 2005 12  20102.
 2006 01 3071.
 2006 02 2888·
 2006 03 5872.
 2006 04 6186·
 2006 05 2867·
 2006 06 7757·
 2006 07 5470·
 2006 08 5851.
 2006 09 9489.
 2006 10 5271.
 2006 11 378·
 2006 12 30101·
 2007 01  79105.
 2007 02  33101·
 2007 03  17109.
 2007 04  2292.
 2007 05  5788.
 2007 06  2870·
 2007 07  3469.
 2007 08  265·
 2007 09  29105.
 2007 10  6784·
 2007 11  18112·
 2007 12  6594.
 2008 01 21103·
 2008 02 890.
 2008 03 5694·
 2008 04 3093·
 2008 05 83100·
 2008 06 3289·
 2008 07 6092·
 2008 08 4087·
 2008 09 9092.
 2008 10 4778·
 2008 11 7099·
 2008 12 66113·
 2009 01  42120.
 2009 02  8293.
 2009 03  4791.
 2009 04  199·
 2009 05  6680·
 2009 06  9669.
 2009 07  7986.
 2009 08  6482·
 2009 09  1196.
 2009 10  70104.
 2009 11  8094·
 2009 12  087.
 2010 01 5380.
 2010 02 1094·
 2010 03 8877.
 2010 04 7782.
 2010 05 9277.
 2010 06 4867.
 2010 07 6561.
 2010 08 9089·
 2010 09 53110·
 2010 10 41105.
 2010 11 9999.
 2010 12 5889·
 2011 01  8877.
 2011 02  7088·
 2011 03  3103·
 2011 04  25110.
 2011 05  7173.
 2011 06  42100·
 2011 07  1569.
 2011 08  6185·
 2011 09  2103.
 2011 10  8996·
 2011 11  97100.
 2011 12  58108.
 2012 01 879·
 2012 02 6765·
 2012 03 39114·
 2012 04 3766·
 2012 05 3986·
 2012 06 5877.
 2012 07 5283·
 2012 08 42106·
 2012 09 69151.
 2012 10 69120.
 2012 11 75104·
 2012 12 41107.
 2013 01  081·
 2013 02  3194.
 2013 03  70127·
 2013 04  30138.
 2013 05  56107·
 2013 06  1115.
 2013 07  25102·
 2013 08  26137·
 2013 09  88119.
 2013 10  60106·
 2013 11  53103.
 2013 12  7592.
 2014 01 7296·
 2014 02 15131·
 2014 03 93115.
 2014 04 45151.
 2014 05 8136·
 2014 06 98116·
 2014 07 6119.
 2014 08 30118·
 2014 09 2199.
 2014 10 66118·
 2014 11 82113·
 2014 12 50116·
 2015 01  62130·
 2015 02  99152·
 2015 03  32180·
 2015 04  49176.
 2015 05  6185.
 2015 06  5138·
 2015 07  95132·
 2015 08  95116.
 2015 09  53135·
 2015 10  16117·
 2015 11  33148·
 2015 12  84137·
 2016 01 29158.
 2016 02 87201·
 2016 03 34187.
 2016 04 34183·
 2016 05 85163.
 2016 06 1112·
 2016 07 12145.
 2016 08 89114.
 2016 09 95151·
 2016 10 65170·
 2016 11 5167.
 2016 12 18145·
 2017 01  60133.
 2017 02  9135·
 2017 03  74131.
 2017 04  16140.
 2017 05  5114·
 2017 06  91129·
 2017 07  8110.
 2017 08  2125.
 2017 09  81151·


 2017 10  92171·
 2017 11  20170·
 2017 12  20178.
 2018 01 64184·
 2018 02 18149·
 2018 03 48161·
 2018 04 39156·
 2018 05 53143.
 2018 06 3142.
 2018 07 54177.
 2018 08 52158.
 2018 09 74150.
 2018 10 1226·
 2018 11 27180·
 2018 12 81197.
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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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