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 Series Title: Population 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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 2012 04 8910708.
 2012 03 7810683.
 2012 02 2310666·
 2012 01 2710631.
 2011 12  169895.
 2011 11  209873.
 2011 10  699875·
 2011 09  249872·
 2011 08  289853.
 2011 07  789838.
 2011 06  349826.
 2011 05  399827.
 2011 04  759794·
 2011 03  369768.
 2011 02  329753·
 2011 01  169722.
 2010 12 339750.
 2010 11 999725.
 2010 10 09717·
 2010 09 239703.
 2010 08 29679·
 2010 07 999661.
 2010 06 29648·
 2010 05 569633.
 2010 04 89615.
 2010 03 939594·
 2010 02 259566.
 2010 01 329551·
 2009 12  29685.
 2009 11  629667.
 2009 10  829639.
 2009 09  969628·
 2009 08  579618·
 2009 07  149598.
 2009 06  119579·
 2009 05  189554·
 2009 04  759543.
 2009 03  799513.
 2009 02  759482.
 2009 01  909469·
 2008 12 829562.
 2008 11 149544.
 2008 10 629514·
 2008 09 349484.
 2008 08 279471·
 2008 07 29434·
 2008 06 849413·
 2008 05 929392.
 2008 04 869378·
 2008 03 489364.
 2008 02 809342.
 2008 01 349327·
 2007 12  609410.
 2007 11  849379·
 2007 10  139364·
 2007 09  549317.
 2007 08  739277.
 2007 07  689247.
 2007 06  709232·
 2007 05  719219.
 2007 04  779196·
 2007 03  809169.
 2007 02  649147·
 2007 01  299118·
 2006 12 469051.
 2006 11 279022.
 2006 10 339002·
 2006 09 988969.
 2006 08 818953·
 2006 07 408917·
 2006 06 408901·
 2006 05 718878.
 2006 04 78839.
 2006 03 788821.
 2006 02 738791.
 2006 01 688776·
 2005 12  758793·
 2005 11  208766·
 2005 10  458735·
 2005 09  338711·
 2005 08  608689.
 2005 07  748658.
 2005 06  938628·
 2005 05  348604·
 2005 04  638564·
 2005 03  728534.
 2005 02  828513·
 2005 01  678489.
 2004 12 88491·
 2004 11 698468.
 2004 10 978444·
 2004 09 508413.
 2004 08 478390·
 2004 07 498371.
 2004 06 538327.
 2004 05 278306.
 2004 04 558289·
 2004 03 168261.
 2004 02 878245·
 2004 01 688218.
 2003 12  318496.
 2003 11  48466.
 2003 10  638430·
 2003 09  668403·
 2003 08  38360.
 2003 07  688319.
 2003 06  678285.
 2003 05  418257.
 2003 04  198225.
 2003 03  908196.
 2003 02  148175·
 2003 01  388139.
 2002 12 557989·
 2002 11 778002.
 2002 10 407939.
 2002 09 247845·
 2002 08 127849·
 2002 07 617841.
 2002 06 97815·
 2002 05 947764.
 2002 04 147676.
 2002 03 987639.
 2002 02 87618·
 2002 01 687526·
 2001 12  147469.
 2001 11  707488·
 2001 10  517532.
 2001 09  897553·
 2001 08  857540·
 2001 07  837438·
 2001 06  757443.
 2001 05  277454·
 2001 04  287456.
 2001 03  697386.
 2001 02  447442.
 2001 01  767404·
 2000 12 697329.
 2000 11 857224·
 2000 10 457194.
 2000 09 547158·
 2000 08 587141·
 2000 07 127131·
 2000 06 907135·
 2000 05 77183.
 2000 04 707162·
 2000 03 587141·
 2000 02 197210.
 2000 01 37192·
 1999 12  66848·
 1999 11  526720·
 1999 10  946667.
 1999 09  366665·
 1999 08  916593·
 1999 07  546577.
 1999 06  26488.
 1999 05  266582·
 1999 04  766545·
 1999 03  436500·
 1999 02  576564·
 1999 01  166491.
 1998 12 356338.
 1998 11 266323·
 1998 10 966260.
 1998 09 766255.
 1998 08 706227.
 1998 07 366213.
 1998 06 836177.
 1998 05 06228.
 1998 04 66210·
 1998 03 296196.
 1998 02 56215.
 1998 01 76126·
 1997 12  936068.
 1997 11  866117.
 1997 10  766067·
 1997 09  416060.
 1997 08  66077.
 1997 07  156048·
 1997 06  326044.
 1997 05  716053·
 1997 04  466001.
 1997 03  465985.
 1997 02  375936.
 1997 01  925861.
 1996 12 395862.
 1996 11 365813·
 1996 10 795771.
 1996 09 235825.
 1996 08 345788·
 1996 07 685757.
 1996 06 715757·
 1996 05 75707.
 1996 04 75697·
 1996 03 475631.
 1996 02 515618.
 1996 01 145598.
 1995 12  585632.
 1995 11  65602.
 1995 10  815592.
 1995 09  385608·
 1995 08  145516.
 1995 07  05514·
 1995 06  495531.
 1995 05  995537·
 1995 04  235565·
 1995 03  125568.
 1995 02  695561.
 1995 01  395479·
 1994 12 635504·
 1994 11 495509.
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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: 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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