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 Series Title: Population Level: 35-39 years, Hispanic or Latino Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 341980.
 2012 03 91978.
 2012 02 151968.
 2012 01 541971.
 2011 12  541986·
 2011 11  441982·
 2011 10  541980·
 2011 09  461975·
 2011 08  601972·
 2011 07  961967·
 2011 06  131962.
 2011 05  541958·
 2011 04  11954·
 2011 03  481949.
 2011 02  51947.
 2011 01  251945·
 2010 12 532032·
 2010 11 52031·
 2010 10 672027.
 2010 09 262021.
 2010 08 162016.
 2010 07 992009·
 2010 06 632005·
 2010 05 522001·
 2010 04 161999.
 2010 03 861998·
 2010 02 791995.
 2010 01 221992.
 2009 12  32028·
 2009 11  492024.
 2009 10  302020·
 2009 09  802011·
 2009 08  522005·
 2009 07  952002·
 2009 06  531996·
 2009 05  951992·
 2009 04  641986.
 2009 03  531981.
 2009 02  111975.
 2009 01  621970.
 2008 12 641986·
 2008 11 831981.
 2008 10 911974.
 2008 09 991968.
 2008 08 31965.
 2008 07 641959.
 2008 06 71954·
 2008 05 511948.
 2008 04 561942·
 2008 03 41939·
 2008 02 971936·
 2008 01 871929.
 2007 12  231946.
 2007 11  341938·
 2007 10  231933.
 2007 09  01924.
 2007 08  301917·
 2007 07  111911·
 2007 06  741904.
 2007 05  111898.
 2007 04  281890·
 2007 03  171885.
 2007 02  621875·
 2007 01  631869.
 2006 12 901853.
 2006 11 571843.
 2006 10 241839.
 2006 09 261834·
 2006 08 191829.
 2006 07 651822.
 2006 06 251818.
 2006 05 931811.
 2006 04 391810.
 2006 03 961804.
 2006 02 521796.
 2006 01 831791.
 2005 12  11788·
 2005 11  321781·
 2005 10  181774·
 2005 09  411769.
 2005 08  801763·
 2005 07  801757·
 2005 06  601750·
 2005 05  371743·
 2005 04  761737·
 2005 03  711730·
 2005 02  421726.
 2005 01  631719.
 2004 12 161716·
 2004 11 631710.
 2004 10 511703·
 2004 09 401700·
 2004 08 481693.
 2004 07 361689.
 2004 06 11683·
 2004 05 111676·
 2004 04 501669.
 2004 03 971665·
 2004 02 291663.
 2004 01 451657·
 2003 12  201725.
 2003 11  781718.
 2003 10  981709·
 2003 09  381702.
 2003 08  851697·
 2003 07  361689·
 2003 06  961685.
 2003 05  71678·
 2003 04  951675·
 2003 03  521665·
 2003 02  371656.
 2003 01  961648·
 2002 12 251657·
 2002 11 331658.
 2002 10 561562.
 2002 09 761524.
 2002 08 751499.
 2002 07 111581.
 2002 06 191667.
 2002 05 411727.
 2002 04 721636·
 2002 03 411497·
 2002 02 121467·
 2002 01 81495·
 2001 12  651550.
 2001 11  71575·
 2001 10  491600.
 2001 09  231569·
 2001 08  301500·
 2001 07  141530·
 2001 06  671521.
 2001 05  551551·
 2001 04  671531·
 2001 03  941493·
 2001 02  291450·
 2001 01  971464·
 2000 12 11540·
 2000 11 31483.
 2000 10 241501.
 2000 09 701534·
 2000 08 841506·
 2000 07 241483·
 2000 06 631477·
 2000 05 161438·
 2000 04 901430.
 2000 03 631480.
 2000 02 861475·
 2000 01 61496·
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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 Men: 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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