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 Series Title: Population Level: 20-24 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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 2012 04 592146.
 2012 03 382140·
 2012 02 682133.
 2012 01 772126·
 2011 12  171943.
 2011 11  421938.
 2011 10  81933·
 2011 09  01927·
 2011 08  861922.
 2011 07  891916.
 2011 06  921912·
 2011 05  651907·
 2011 04  141902.
 2011 03  591897.
 2011 02  341892·
 2011 01  171888.
 2010 12 791894.
 2010 11 601889.
 2010 10 721883·
 2010 09 251878.
 2010 08 801872·
 2010 07 231866·
 2010 06 681861·
 2010 05 831855·
 2010 04 431850.
 2010 03 51845·
 2010 02 101840·
 2010 01 91834.
 2009 12  181775·
 2009 11  871769.
 2009 10  111763.
 2009 09  491759·
 2009 08  801754·
 2009 07  761750·
 2009 06  91745.
 2009 05  711741·
 2009 04  301736.
 2009 03  51732·
 2009 02  671729.
 2009 01  691725.
 2008 12 931748.
 2008 11 281745·
 2008 10 731741·
 2008 09 631738·
 2008 08 201734.
 2008 07 281731·
 2008 06 401728·
 2008 05 971724·
 2008 04 851721·
 2008 03 121718.
 2008 02 51715.
 2008 01 391712·
 2007 12  911733.
 2007 11  121730·
 2007 10  311727·
 2007 09  841725·
 2007 08  611723·
 2007 07  831722·
 2007 06  71719.
 2007 05  521717·
 2007 04  461715.
 2007 03  71713.
 2007 02  451712·
 2007 01  851711.
 2006 12 211693·
 2006 11 921692.
 2006 10 841690.
 2006 09 551690.
 2006 08 881690·
 2006 07 691689.
 2006 06 851688·
 2006 05 531686.
 2006 04 711685.
 2006 03 941684.
 2006 02 371683.
 2006 01 01683·
 2005 12  211696.
 2005 11  501696·
 2005 10  531695.
 2005 09  401694·
 2005 08  131693·
 2005 07  421691.
 2005 06  711691·
 2005 05  421690.
 2005 04  471689·
 2005 03  21689·
 2005 02  531689.
 2005 01  01689·
 2004 12 491694.
 2004 11 881692·
 2004 10 881691.
 2004 09 341689.
 2004 08 701687·
 2004 07 801685·
 2004 06 881684.
 2004 05 861683.
 2004 04 841682.
 2004 03 851680.
 2004 02 921678·
 2004 01 281676.
 2003 12  921638.
 2003 11  361636.
 2003 10  611634·
 2003 09  511632·
 2003 08  201630·
 2003 07  881628·
 2003 06  851626·
 2003 05  771625.
 2003 04  171623.
 2003 03  231622·
 2003 02  751620·
 2003 01  481618·
 2002 12 601584.
 2002 11 481563.
 2002 10 701616·
 2002 09 351641·
 2002 08 491631.
 2002 07 941603·
 2002 06 331572.
 2002 05 311602·
 2002 04 81630·
 2002 03 191648.
 2002 02 521634.
 2002 01 551685.
 2001 12  891678.
 2001 11  41622·
 2001 10  391607·
 2001 09  521549·
 2001 08  671552.
 2001 07  551621.
 2001 06  331582.
 2001 05  901543·
 2001 04  421532·
 2001 03  41578.
 2001 02  951475.
 2001 01  641510·
 2000 12 391521.
 2000 11 81528.
 2000 10 151534·
 2000 09 931530.
 2000 08 101517·
 2000 07 481504.
 2000 06 51490·
 2000 05 211424·
 2000 04 291409·
 2000 03 311413.
 2000 02 31373·
 2000 01 171411.
 1999 12  961236.
 1999 11  891300·
 1999 10  721329·
 1999 09  761278.
 1999 08  381327.
 1999 07  781337·
 1999 06  991378·
 1999 05  161302·
 1999 04  41274·
 1999 03  801297·
 1999 02  981241.
 1999 01  811327·
 1998 12 711279.
 1998 11 21277·
 1998 10 71298.
 1998 09 421269.
 1998 08 371315.
 1998 07 741331.
 1998 06 881319.
 1998 05 911243.
 1998 04 301220·
 1998 03 551240.
 1998 02 291200.
 1998 01 491239.
 1997 12  981225.
 1997 11  251165.
 1997 10  431177·
 1997 09  581182.
 1997 08  181192.
 1997 07  911216·
 1997 06  691193·
 1997 05  891166.
 1997 04  901172.
 1997 03  851148·
 1997 02  681165·
 1997 01  351207.
 1996 12 391181.
 1996 11 641186.
 1996 10 301195.
 1996 09 161163.
 1996 08 151183.
 1996 07 81191·
 1996 06 661192·
 1996 05 761212.
 1996 04 951208.
 1996 03 251242·
 1996 02 141250·
 1996 01 831228.
 1995 12  781198.
 1995 11  471233.
 1995 10  381217·
 1995 09  331212·
 1995 08  901235.
 1995 07  291226·
 1995 06  261178·
 1995 05  441168.
 1995 04  821135·
 1995 03  541133·
 1995 02  901177.
 1995 01  601176·
 1994 12 281164·
 1994 11 281175·
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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: Population Level: 20-24 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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