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 Series Title: Population Level: 35-39 years, Hispanic or Latino: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 883907·
 2012 03 563904·
 2012 02 743895.
 2012 01 403897.
 2011 12  743771·
 2011 11  993766·
 2011 10  393763·
 2011 09  493754·
 2011 08  643750·
 2011 07  783742·
 2011 06  423738·
 2011 05  943732.
 2011 04  83722.
 2011 03  743713·
 2011 02  963709·
 2011 01  193708.
 2010 12 823798·
 2010 11 953796.
 2010 10 393789.
 2010 09 933781·
 2010 08 863772.
 2010 07 723764.
 2010 06 343758·
 2010 05 113754.
 2010 04 453748.
 2010 03 613743.
 2010 02 703739·
 2010 01 923735·
 2009 12  93818.
 2009 11  443806·
 2009 10  583801·
 2009 09  793788.
 2009 08  553778.
 2009 07  283774.
 2009 06  373764.
 2009 05  433756·
 2009 04  833744.
 2009 03  453735.
 2009 02  703724.
 2009 01  773716.
 2008 12 183748.
 2008 11 513738.
 2008 10 443731·
 2008 09 03722·
 2008 08 103714·
 2008 07 273705·
 2008 06 723693.
 2008 05 563682.
 2008 04 343672.
 2008 03 813665·
 2008 02 933659·
 2008 01 153650.
 2007 12  923678.
 2007 11  443667·
 2007 10  693656.
 2007 09  713640·
 2007 08  83628·
 2007 07  723620·
 2007 06  883606.
 2007 05  433596.
 2007 04  343581·
 2007 03  483568.
 2007 02  643552·
 2007 01  743544·
 2006 12 433514.
 2006 11 783500.
 2006 10 333492.
 2006 09 353481.
 2006 08 373470·
 2006 07 933457·
 2006 06 583445.
 2006 05 193434.
 2006 04 423431.
 2006 03 513420.
 2006 02 293403.
 2006 01 463395.
 2005 12  73391·
 2005 11  323377·
 2005 10  573365.
 2005 09  593358.
 2005 08  73345·
 2005 07  443334·
 2005 06  803322.
 2005 05  273311.
 2005 04  443302·
 2005 03  183291·
 2005 02  623281.
 2005 01  463270·
 2004 12 433265·
 2004 11 113254.
 2004 10 903244.
 2004 09 333239·
 2004 08 543227.
 2004 07 43219·
 2004 06 773208·
 2004 05 343197·
 2004 04 523187.
 2004 03 43180·
 2004 02 623174·
 2004 01 173166·
 2003 12  383307.
 2003 11  433293·
 2003 10  63274·
 2003 09  763265.
 2003 08  373253·
 2003 07  783242.
 2003 06  973232·
 2003 05  313222.
 2003 04  993215.
 2003 03  893197·
 2003 02  503183·
 2003 01  253170.
 2002 12 13167.
 2002 11 843187.
 2002 10 13085.
 2002 09 293011·
 2002 08 422998.
 2002 07 943089.
 2002 06 133146·
 2002 05 353174·
 2002 04 483086.
 2002 03 762932.
 2002 02 752844.
 2002 01 632900.
 2001 12  692856·
 2001 11  122898·
 2001 10  992997·
 2001 09  582950·
 2001 08  812934.
 2001 07  82933.
 2001 06  242904.
 2001 05  882951·
 2001 04  832964.
 2001 03  952893·
 2001 02  112875·
 2001 01  472866·
 2000 12 22896.
 2000 11 312874.
 2000 10 492946·
 2000 09 552919·
 2000 08 882867·
 2000 07 982811·
 2000 06 512861·
 2000 05 562855·
 2000 04 162856·
 2000 03 12918·
 2000 02 552911.
 2000 01 192890·
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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: 35-39 years, Hispanic or Latino: 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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