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 Series Title: Multiple Jobholders as a Percent of Employed, Hispanic or Latino Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 613.0
 2012 03 413.4
 2012 02 823.3
 2012 01 613·1
 2011 12  813·1
 2011 11  443.3
 2011 10  583.1
 2011 09  583.3
 2011 08  613·1
 2011 07  402·9
 2011 06  302·9
 2011 05  483.0
 2011 04  513.2
 2011 03  103.0
 2011 02  83.3
 2011 01  742.7
 2010 12 283.5
 2010 11 603.3
 2010 10 333·6
 2010 09 63·3
 2010 08 913.1
 2010 07 223·3
 2010 06 653·0
 2010 05 383·6
 2010 04 653·8
 2010 03 533.7
 2010 02 943·9
 2010 01 893·1
 2009 12  23.3
 2009 11  353·8
 2009 10  323.2
 2009 09  33·8
 2009 08  753.0
 2009 07  733.6
 2009 06  173·2
 2009 05  493·3
 2009 04  874.2
 2009 03  14.2
 2009 02  124.4
 2009 01  213·1
 2008 12 623.4
 2008 11 733.6
 2008 10 44·0
 2008 09 393.9
 2008 08 504·1
 2008 07 733·8
 2008 06 83.8
 2008 05 473.2
 2008 04 283.3
 2008 03 63·5
 2008 02 594·0
 2008 01 143.1
 2007 12  953.6
 2007 11  53·9
 2007 10  234·1
 2007 09  333.7
 2007 08  773·3
 2007 07  253·5
 2007 06  853·4
 2007 05  253·4
 2007 04  232·8
 2007 03  493.3
 2007 02  603·8
 2007 01  333.5
 2006 12 113.8
 2006 11 834.4
 2006 10 854·0
 2006 09 264·0
 2006 08 393·4
 2006 07 593·1
 2006 06 233.1
 2006 05 993.1
 2006 04 342.5
 2006 03 333·2
 2006 02 623·0
 2006 01 702·9
 2005 12  453·5
 2005 11  883.5
 2005 10  153.5
 2005 09  853.1
 2005 08  493·3
 2005 07  293·5
 2005 06  192.8
 2005 05  113.0
 2005 04  453.7
 2005 03  893·7
 2005 02  384·0
 2005 01  433·3
 2004 12 593·2
 2004 11 243.6
 2004 10 603·8
 2004 09 13·9
 2004 08 413·6
 2004 07 154·3
 2004 06 973·2
 2004 05 283.7
 2004 04 673.3
 2004 03 702·8
 2004 02 873.3
 2004 01 933·2
 2003 12  373·1
 2003 11  192.4
 2003 10  933.3
 2003 09  913.8
 2003 08  763.0
 2003 07  203·3
 2003 06  33·6
 2003 05  413.6
 2003 04  363·3
 2003 03  553.0
 2003 02  313·6
 2003 01  863.8
 2002 12 903.7
 2002 11 293.3
 2002 10 133·5
 2002 09 973·3
 2002 08 402.7
 2002 07 753·9
 2002 06 123·9
 2002 05 673·6
 2002 04 123·7
 2002 03 493.1
 2002 02 183.5
 2002 01 162·9
 2001 12  543·8
 2001 11  333.5
 2001 10  413·2
 2001 09  873.5
 2001 08  443.6
 2001 07  333·9
 2001 06  223.0
 2001 05  493·0
 2001 04  803·3
 2001 03  813·5
 2001 02  213.2
 2001 01  973·4
 2000 12 903.3
 2000 11 342·7
 2000 10 283·0
 2000 09 513.5
 2000 08 223·5
 2000 07 743·4
 2000 06 543·2
 2000 05 532·9
 2000 04 522.9
 2000 03 63.4
 2000 02 393.3
 2000 01 733·2
 1999 12  823.8
 1999 11  633·6
 1999 10  443·3
 1999 09  63·3
 1999 08  353.4
 1999 07  23·6
 1999 06  594·0
 1999 05  704·1
 1999 04  633.4
 1999 03  33·8
 1999 02  944.3
 1999 01  104·0
 1998 12 414.5
 1998 11 744·3
 1998 10 903.6
 1998 09 952·8
 1998 08 703·4
 1998 07 463·2
 1998 06 73.4
 1998 05 184.5
 1998 04 744.2
 1998 03 754·3
 1998 02 354.0
 1998 01 04·4
 1997 12  43·9
 1997 11  453.6
 1997 10  863·1
 1997 09  843·3
 1997 08  353·4
 1997 07  603.5
 1997 06  983.8
 1997 05  394.4
 1997 04  694·3
 1997 03  534·7
 1997 02  354·1
 1997 01  593.6
 1996 12 304·0
 1996 11 813·7
 1996 10 834·1
 1996 09 643·5
 1996 08 683.3
 1996 07 253·6
 1996 06 554.3
 1996 05 983.4
 1996 04 604.4
 1996 03 915·0
 1996 02 915·1
 1996 01 304·9
 1995 12  44·3
 1995 11  124·6
 1995 10  524.3
 1995 09  543.8
 1995 08  283·7
 1995 07  433·2
 1995 06  263.6
 1995 05  894.2
 1995 04  814·2
 1995 03  684.5
 1995 02  264·4
 1995 01  793·5
 1994 12 393·3
 1994 11 913.1
 1994 10 914·3
 1994 09 933.4
 1994 08 23.4
 1994 07 452·6
 1994 06 833·7
 1994 05 273.9
 1994 04 953.5
 1994 03 873.9
 1994 02 903·7
 1994 01 984.0
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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 as a Percent of Employed, Hispanic or Latino 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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