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 Series Title: Multiple Jobholders, Primary and Secondary Jobs Both Full Time, Women: NSA
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 2012 04 3395·
 2012 03 1295·
 2012 02 60112·
 2012 01 11135.
 2011 12  23114.
 2011 11  5682·
 2011 10  7265.
 2011 09  6474·
 2011 08  492.
 2011 07  2395.
 2011 06  10131.
 2011 05  40111·
 2011 04  2672.
 2011 03  9560.
 2011 02  8680·
 2011 01  8576·
 2010 12 6695·
 2010 11 7971·
 2010 10 4080·
 2010 09 66101·
 2010 08 2494.
 2010 07 684.
 2010 06 3282.
 2010 05 7894·
 2010 04 24106·
 2010 03 3384.
 2010 02 53108·
 2010 01 4197.
 2009 12  1879.
 2009 11  4286·
 2009 10  1385.
 2009 09  9884.
 2009 08  80116·
 2009 07  39138·
 2009 06  52105·
 2009 05  1876·
 2009 04  1194·
 2009 03  5684·
 2009 02  3280·
 2009 01  9675.
 2008 12 3775.
 2008 11 5095.
 2008 10 4195·
 2008 09 51105·
 2008 08 891·
 2008 07 2126.
 2008 06 92107·
 2008 05 2791.
 2008 04 9882·
 2008 03 1983·
 2008 02 2389.
 2008 01 9367.
 2007 12  1086.
 2007 11  3388·
 2007 10  9792·
 2007 09  4382.
 2007 08  6894.
 2007 07  99133.
 2007 06  188·
 2007 05  96107·
 2007 04  2165·
 2007 03  1133·
 2007 02  4984.
 2007 01  9788·
 2006 12 47113·
 2006 11 4399.
 2006 10 78119.
 2006 09 1592.
 2006 08 45122·
 2006 07 59121·
 2006 06 5190.
 2006 05 4390.
 2006 04 4169.
 2006 03 5108·
 2006 02 56100.
 2006 01 299.
 2005 12  84120.
 2005 11  6279·
 2005 10  788·
 2005 09  3488.
 2005 08  51107·
 2005 07  37105.
 2005 06  40125·
 2005 05  995.
 2005 04  42125.
 2005 03  61112.
 2005 02  20116.
 2005 01  22104.
 2004 12 8277·
 2004 11 9298·
 2004 10 33101·
 2004 09 9297·
 2004 08 2191.
 2004 07 11101·
 2004 06 92131·
 2004 05 62101.
 2004 04 3587.
 2004 03 24123.
 2004 02 36107.
 2004 01 183·
 2003 12  2582·
 2003 11  6494·
 2003 10  2897·
 2003 09  579.
 2003 08  1569·
 2003 07  8673.
 2003 06  54104·
 2003 05  9277·
 2003 04  5794.
 2003 03  73114.
 2003 02  2979·
 2003 01  576·
 2002 12 2567.
 2002 11 3182·
 2002 10 90103·
 2002 09 1581·
 2002 08 20115·
 2002 07 92104·
 2002 06 091·
 2002 05 1694.
 2002 04 6796·
 2002 03 1277·
 2002 02 4790.
 2002 01 2680.
 2001 12  16123.
 2001 11  74107.
 2001 10  4492·
 2001 09  90102·
 2001 08  44104.
 2001 07  83128.
 2001 06  2886·
 2001 05  7791·
 2001 04  5178·
 2001 03  71111·
 2001 02  6395.
 2001 01  8178·
 2000 12 61100·
 2000 11 95110·
 2000 10 3684·
 2000 09 2197.
 2000 08 2590·
 2000 07 37159.
 2000 06 60138·
 2000 05 4173.
 2000 04 19121.
 2000 03 3127.
 2000 02 74111.
 2000 01 1182·
 1999 12  43112.
 1999 11  2586.
 1999 10  40104·
 1999 09  2486·
 1999 08  2272·
 1999 07  5995.
 1999 06  4578·
 1999 05  074.
 1999 04  767.
 1999 03  88114·
 1999 02  4102·
 1999 01  83140·
 1998 12 7484·
 1998 11 1897.
 1998 10 5370·
 1998 09 4282.
 1998 08 2287.
 1998 07 7986·
 1998 06 5670·
 1998 05 7159·
 1998 04 7785.
 1998 03 3074·
 1998 02 073·
 1998 01 9069.
 1997 12  8983.
 1997 11  5262·
 1997 10  9951.
 1997 09  4255·
 1997 08  3497.
 1997 07  5172·
 1997 06  9071·
 1997 05  9673·
 1997 04  1259.
 1997 03  6063·
 1997 02  3772·
 1997 01  4756.
 1996 12 4970.
 1996 11 3368·
 1996 10 2684.
 1996 09 1458·
 1996 08 9453.
 1996 07 5474·
 1996 06 7271·
 1996 05 4187.
 1996 04 2472.
 1996 03 2954.
 1996 02 1167.
 1996 01 9766·
 1995 12  3978·
 1995 11  9073.
 1995 10  764·
 1995 09  7682·
 1995 08  6383·
 1995 07  9385.
 1995 06  4886·
 1995 05  9867·
 1995 04  4857·
 1995 03  2059.
 1995 02  4678.
 1995 01  657·
 1994 12 7088.
 1994 11 7767·
 1994 10 4057.
 1994 09 7069·
 1994 08 2756·
 1994 07 9680.
 1994 06 9248·
 1994 05 8449.
 1994 04 4669·
 1994 03 3451.
 1994 02 9153·
 1994 01 6772·
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: 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, Primary and Secondary Jobs Both Full Time, 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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