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 Series Title: Population Level: 25-29 years, Hispanic or Latino Women: NSA
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 2012 04 622038.
 2012 03 402040·
 2012 02 772037.
 2012 01 582035·
 2011 12  901865·
 2011 11  841869.
 2011 10  521864.
 2011 09  371860·
 2011 08  601865·
 2011 07  21866.
 2011 06  41864·
 2011 05  891865.
 2011 04  211859.
 2011 03  751859·
 2011 02  431856.
 2011 01  591858.
 2010 12 491871.
 2010 11 101868.
 2010 10 101863.
 2010 09 161867.
 2010 08 441868·
 2010 07 381867.
 2010 06 661868.
 2010 05 541865·
 2010 04 331863.
 2010 03 161864·
 2010 02 01864.
 2010 01 931863·
 2009 12  651846.
 2009 11  251843·
 2009 10  241841.
 2009 09  751842·
 2009 08  151838·
 2009 07  731841.
 2009 06  761842·
 2009 05  721841.
 2009 04  851839.
 2009 03  911841·
 2009 02  191841.
 2009 01  751842·
 2008 12 991873·
 2008 11 361875.
 2008 10 411869.
 2008 09 61872·
 2008 08 81869·
 2008 07 891868.
 2008 06 561869.
 2008 05 81864·
 2008 04 871862.
 2008 03 571860·
 2008 02 01855·
 2008 01 491854·
 2007 12  371889·
 2007 11  711888.
 2007 10  371880.
 2007 09  251879·
 2007 08  831875·
 2007 07  881874·
 2007 06  541874.
 2007 05  551870.
 2007 04  751865·
 2007 03  901864.
 2007 02  651861·
 2007 01  811854.
 2006 12 891828.
 2006 11 841826·
 2006 10 71826.
 2006 09 751824.
 2006 08 251818·
 2006 07 11813.
 2006 06 441810·
 2006 05 291805.
 2006 04 91806.
 2006 03 971805.
 2006 02 631805.
 2006 01 631807.
 2005 12  911814·
 2005 11  551802·
 2005 10  761795·
 2005 09  211793.
 2005 08  461787.
 2005 07  801789.
 2005 06  231790.
 2005 05  721781·
 2005 04  751781·
 2005 03  61773.
 2005 02  661769·
 2005 01  111765·
 2004 12 31766·
 2004 11 871765·
 2004 10 921763.
 2004 09 561758·
 2004 08 811756·
 2004 07 71750·
 2004 06 151742.
 2004 05 521739·
 2004 04 841738·
 2004 03 711729.
 2004 02 721727.
 2004 01 671726.
 2003 12  111761·
 2003 11  121758.
 2003 10  271751·
 2003 09  971749·
 2003 08  901746·
 2003 07  851740·
 2003 06  671731.
 2003 05  591726.
 2003 04  701723.
 2003 03  721719·
 2003 02  51715·
 2003 01  991713.
 2002 12 261706.
 2002 11 811722.
 2002 10 801662.
 2002 09 851633·
 2002 08 591636·
 2002 07 431658·
 2002 06 531683·
 2002 05 111648.
 2002 04 941614.
 2002 03 141590·
 2002 02 131598·
 2002 01 971542.
 2001 12  831542.
 2001 11  761592.
 2001 10  731601·
 2001 09  871653·
 2001 08  991642.
 2001 07  361567·
 2001 06  701598.
 2001 05  491630.
 2001 04  431633.
 2001 03  251581·
 2001 02  681677.
 2001 01  791635.
 2000 12 421617.
 2000 11 01589·
 2000 10 551590·
 2000 09 951586.
 2000 08 441591·
 2000 07 421596·
 2000 06 421603.
 2000 05 411662.
 2000 04 261669.
 2000 03 591654·
 2000 02 691693·
 2000 01 861655·
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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: 25-29 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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