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 Series Title: Not in Labor Force, Hispanic or Latino 25-54 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 744504.
 2012 03 264501.
 2012 02 324450·
 2012 01 84515.
 2011 12  914227·
 2011 11  244199.
 2011 10  504162.
 2011 09  434211.
 2011 08  564119.
 2011 07  24241.
 2011 06  504282.
 2011 05  584291·
 2011 04  194181.
 2011 03  414274.
 2011 02  454396.
 2011 01  984222·
 2010 12 564111·
 2010 11 483989·
 2010 10 733978·
 2010 09 303925.
 2010 08 664067.
 2010 07 544125·
 2010 06 974040·
 2010 05 504049.
 2010 04 754063·
 2010 03 173967.
 2010 02 53980.
 2010 01 763955.
 2009 12  344184.
 2009 11  184055.
 2009 10  94076·
 2009 09  534123.
 2009 08  184157.
 2009 07  634093·
 2009 06  474143.
 2009 05  504038·
 2009 04  273955·
 2009 03  853927·
 2009 02  834019.
 2009 01  614015.
 2008 12 874020.
 2008 11 404019·
 2008 10 53952.
 2008 09 43875.
 2008 08 483877·
 2008 07 83916·
 2008 06 243838.
 2008 05 253713.
 2008 04 853860·
 2008 03 993929.
 2008 02 803953·
 2008 01 924001·
 2007 12  03869·
 2007 11  413814·
 2007 10  343864.
 2007 09  03835.
 2007 08  163744.
 2007 07  943798.
 2007 06  763868·
 2007 05  673731.
 2007 04  863776·
 2007 03  373835.
 2007 02  173839.
 2007 01  383805.
 2006 12 833709.
 2006 11 783753·
 2006 10 953768.
 2006 09 823787.
 2006 08 93823.
 2006 07 483815·
 2006 06 753660.
 2006 05 933737·
 2006 04 893710·
 2006 03 43766·
 2006 02 423740.
 2006 01 903818·
 2005 12  723746·
 2005 11  283716.
 2005 10  113711·
 2005 09  173770·
 2005 08  363719·
 2005 07  263728.
 2005 06  193782·
 2005 05  443735.
 2005 04  793750.
 2005 03  303739.
 2005 02  303772.
 2005 01  653816.
 2004 12 283650·
 2004 11 973604.
 2004 10 303569·
 2004 09 983587.
 2004 08 333572.
 2004 07 83506·
 2004 06 333449.
 2004 05 883455·
 2004 04 693510·
 2004 03 693476.
 2004 02 773680·
 2004 01 43629·
 2003 12  363806·
 2003 11  133743·
 2003 10  243783·
 2003 09  403720.
 2003 08  613749·
 2003 07  963753.
 2003 06  633599.
 2003 05  153605.
 2003 04  933378·
 2003 03  03468·
 2003 02  63437.
 2003 01  743554·
 2002 12 73412.
 2002 11 313394·
 2002 10 923300·
 2002 09 853312.
 2002 08 53377.
 2002 07 213317·
 2002 06 833358·
 2002 05 433283·
 2002 04 113094.
 2002 03 273186·
 2002 02 673039.
 2002 01 673087.
 2001 12  763071·
 2001 11  303141.
 2001 10  573060.
 2001 09  13146.
 2001 08  753150·
 2001 07  373201.
 2001 06  913208.
 2001 05  143034.
 2001 04  103001.
 2001 03  802914.
 2001 02  322932·
 2001 01  12987·
 2000 12 42907·
 2000 11 152788.
 2000 10 672830·
 2000 09 802803·
 2000 08 82946.
 2000 07 233007·
 2000 06 102858.
 2000 05 952957·
 2000 04 992925.
 2000 03 132873·
 2000 02 982938.
 2000 01 162857·
 1999 12  762833.
 1999 11  142705·
 1999 10  952748·
 1999 09  372737.
 1999 08  642712·
 1999 07  842898.
 1999 06  882709.
 1999 05  772877.
 1999 04  152852.
 1999 03  52782.
 1999 02  902761.
 1999 01  802701.
 1998 12 32669.
 1998 11 822767.
 1998 10 392679.
 1998 09 152618·
 1998 08 282706.
 1998 07 492705.
 1998 06 982651·
 1998 05 762655.
 1998 04 172669.
 1998 03 602646.
 1998 02 542718·
 1998 01 842770·
 1997 12  202616·
 1997 11  992641·
 1997 10  222567·
 1997 09  802507.
 1997 08  122511.
 1997 07  712526·
 1997 06  372597.
 1997 05  362672·
 1997 04  922786.
 1997 03  92566.
 1997 02  652637.
 1997 01  452513.
 1996 12 882533.
 1996 11 682438.
 1996 10 922444·
 1996 09 252577·
 1996 08 492528.
 1996 07 312607·
 1996 06 302683.
 1996 05 222646.
 1996 04 512678·
 1996 03 42547.
 1996 02 202601·
 1996 01 52584.
 1995 12  932556.
 1995 11  192496·
 1995 10  222463·
 1995 09  662532.
 1995 08  22602·
 1995 07  332581·
 1995 06  252562·
 1995 05  272593·
 1995 04  272618.
 1995 03  272636·
 1995 02  412669.
 1995 01  302681.
 1994 12 452597.
 1994 11 72477·
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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: Not in Labor Force, Hispanic or Latino 25-54 years: 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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