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 Series Title: Civilian Labor Force Level: 25-54 years, 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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 1994 11 63519·
 1994 12 433452.
 1995 01  483317·
 1995 02  243441.
 1995 03  983464·
 1995 04  03473.
 1995 05  593421.
 1995 06  373450·
 1995 07  763435.
 1995 08  743465·
 1995 09  903616·
 1995 10  683643·
 1995 11  893630·
 1995 12  473609.
 1996 01 543543·
 1996 02 603570.
 1996 03 123599·
 1996 04 263594.
 1996 05 883608.
 1996 06 833578·
 1996 07 473623.
 1996 08 423734·
 1996 09 553724·
 1996 10 313760.
 1996 11 193862.
 1996 12 513818.
 1997 01  443865.
 1997 02  233856.
 1997 03  783904.
 1997 04  363794.
 1997 05  663971·
 1997 06  33965·
 1997 07  994035.
 1997 08  34072·
 1997 09  614067·
 1997 10  404005·
 1997 11  833979·
 1997 12  843972·
 1998 01 913917·
 1998 02 284071.
 1998 03 554081.
 1998 04 354065.
 1998 05 434100·
 1998 06 874099·
 1998 07 664087·
 1998 08 384079·
 1998 09 314199.
 1998 10 614170.
 1998 11 914108.
 1998 12 04211·
 1999 01  934284·
 1999 02  194342.
 1999 03  304299·
 1999 04  524243.
 1999 05  914304·
 1999 06  544336·
 1999 07  94273·
 1999 08  514393·
 1999 09  134478·
 1999 10  874501.
 1999 11  784547·
 1999 12  784564.
 2000 01 734874·
 2000 02 614819·
 2000 03 124823.
 2000 04 414760·
 2000 05 74811.
 2000 06 454760·
 2000 07 134673.
 2000 08 714790·
 2000 09 804938.
 2000 10 344966·
 2000 11 55056·
 2000 12 235019.
 2001 01  795043.
 2001 02  475117.
 2001 03  395095.
 2001 04  815047.
 2001 05  165072·
 2001 06  274941·
 2001 07  894886.
 2001 08  515099·
 2001 09  315060.
 2001 10  445123.
 2001 11  585087.
 2001 12  645079.
 2002 01 845117.
 2002 02 925241.
 2002 03 695165.
 2002 04 785265.
 2002 05 665196.
 2002 06 915203.
 2002 07 745260.
 2002 08 735227·
 2002 09 875281.
 2002 10 845302·
 2002 11 475291·
 2002 12 565299.
 2003 01  875405·
 2003 02  405456·
 2003 03  895473.
 2003 04  595477.
 2003 05  285395.
 2003 06  545410·
 2003 07  265348.
 2003 08  395393.
 2003 09  985454·
 2003 10  455483·
 2003 11  75495·
 2003 12  775455·
 2004 01 105346.
 2004 02 575346·
 2004 03 95512.
 2004 04 795506.
 2004 05 25519.
 2004 06 595573.
 2004 07 325522·
 2004 08 795565.
 2004 09 365620·
 2004 10 455632.
 2004 11 05539·
 2004 12 315574·
 2005 01  15501.
 2005 02  345532·
 2005 03  655522·
 2005 04  195576.
 2005 05  105630·
 2005 06  715624·
 2005 07  25719.
 2005 08  475742·
 2005 09  05701·
 2005 10  245735·
 2005 11  115778·
 2005 12  495782·
 2006 01 345739.
 2006 02 895827.
 2006 03 175789.
 2006 04 815876.
 2006 05 15884.
 2006 06 835954.
 2006 07 725881·
 2006 08 245933.
 2006 09 125998.
 2006 10 516007·
 2006 11 495970.
 2006 12 856020·
 2007 01  66035.
 2007 02  636070·
 2007 03  516068·
 2007 04  956139.
 2007 05  476176.
 2007 06  116160.
 2007 07  26227·
 2007 08  126324·
 2007 09  206298·
 2007 10  176276.
 2007 11  526310·
 2007 12  176293·
 2008 01 416163.
 2008 02 236213.
 2008 03 776186.
 2008 04 166321.
 2008 05 466406·
 2008 06 986311·
 2008 07 786264·
 2008 08 416354·
 2008 09 986355.
 2008 10 386351·
 2008 11 796331·
 2008 12 506396.
 2009 01  866346·
 2009 02  606390·
 2009 03  326473.
 2009 04  236502.
 2009 05  226398·
 2009 06  106369.
 2009 07  106424.
 2009 08  676346.
 2009 09  446419·
 2009 10  566471·
 2009 11  166566·
 2009 12  136516·
 2010 01 156541.
 2010 02 936502·
 2010 03 746563·
 2010 04 196518·
 2010 05 236530.
 2010 06 396491·
 2010 07 356421.
 2010 08 676532·
 2010 09 806624·
 2010 10 396662.
 2010 11 746695.
 2010 12 616586·
 2011 01  256507·
 2011 02  616367·
 2011 03  916469.
 2011 04  366629.
 2011 05  216558·
 2011 06  16566.
 2011 07  126506·
 2011 08  466659·
 2011 09  556639·
 2011 10  776708.
 2011 11  876714·
 2011 12  746716·
 2012 01 407201·


 2012 02 337280.
 2012 03 927300·
 2012 04 267287·
 2012 05 157301.
 2012 06 397281.
 2012 07 277213·
 2012 08 347205·
 2012 09 427297·
 2012 10 887376.
 2012 11 177369.
 2012 12 547298·
 2013 01  87254·
 2013 02  07251.
 2013 03  137203·
 2013 04  697094·
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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: Civilian Labor Force Level: 25-54 years, 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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