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 Series Title: Population Level: 45-49 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 181595·
 2012 03 981585.
 2012 02 11580.
 2012 01 371581·
 2011 12  391529·
 2011 11  411520·
 2011 10  821507·
 2011 09  271510·
 2011 08  261511·
 2011 07  831507·
 2011 06  631504·
 2011 05  161500.
 2011 04  291499·
 2011 03  51488·
 2011 02  581472·
 2011 01  471475.
 2010 12 251563.
 2010 11 131558.
 2010 10 41549·
 2010 09 911544·
 2010 08 131541.
 2010 07 401540.
 2010 06 661533.
 2010 05 401527·
 2010 04 191527·
 2010 03 421519·
 2010 02 291509.
 2010 01 151506.
 2009 12  941526.
 2009 11  01528·
 2009 10  81525·
 2009 09  591520.
 2009 08  121509·
 2009 07  221498·
 2009 06  411499.
 2009 05  411487·
 2009 04  741481.
 2009 03  391466·
 2009 02  891457.
 2009 01  571446·
 2008 12 61456·
 2008 11 71454·
 2008 10 411446·
 2008 09 241443.
 2008 08 571433·
 2008 07 91415.
 2008 06 111410·
 2008 05 871399·
 2008 04 41387.
 2008 03 511384·
 2008 02 351383.
 2008 01 151374·
 2007 12  461382·
 2007 11  641375·
 2007 10  771371.
 2007 09  21375.
 2007 08  101368·
 2007 07  51355.
 2007 06  241352·
 2007 05  671349.
 2007 04  451348.
 2007 03  561342·
 2007 02  901333.
 2007 01  561320.
 2006 12 261307·
 2006 11 231308·
 2006 10 131312.
 2006 09 351309.
 2006 08 551303·
 2006 07 391294·
 2006 06 541276.
 2006 05 11271·
 2006 04 571273·
 2006 03 591266·
 2006 02 31268.
 2006 01 711246·
 2005 12  811243.
 2005 11  651235.
 2005 10  721233.
 2005 09  901234.
 2005 08  41221.
 2005 07  651214.
 2005 06  991206·
 2005 05  281199·
 2005 04  251200·
 2005 03  891192.
 2005 02  461177.
 2005 01  781166·
 2004 12 711157.
 2004 11 951152.
 2004 10 31156·
 2004 09 601161.
 2004 08 911156·
 2004 07 631153·
 2004 06 811145.
 2004 05 171129·
 2004 04 611125·
 2004 03 11113·
 2004 02 181112·
 2004 01 181100.
 2003 12  821120·
 2003 11  401119·
 2003 10  781115·
 2003 09  591110.
 2003 08  781112·
 2003 07  371108·
 2003 06  481090·
 2003 05  581085.
 2003 04  01081.
 2003 03  741071.
 2003 02  421072.
 2003 01  591064.
 2002 12 24968.
 2002 11 56988·
 2002 10 96971·
 2002 09 31996.
 2002 08 501049.
 2002 07 17996·
 2002 06 74985·
 2002 05 69968·
 2002 04 3923.
 2002 03 12924.
 2002 02 64924·
 2002 01 91949.
 2001 12  33953.
 2001 11  22882.
 2001 10  79904.
 2001 09  42925·
 2001 08  17941·
 2001 07  56962.
 2001 06  57964·
 2001 05  91961.
 2001 04  54896.
 2001 03  44909.
 2001 02  60877·
 2001 01  32900.
 2000 12 70889·
 2000 11 43885·
 2000 10 76880·
 2000 09 84895.
 2000 08 15887.
 2000 07 34870.
 2000 06 19864·
 2000 05 91856.
 2000 04 65853.
 2000 03 25840.
 2000 02 26809·
 2000 01 23786.
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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: 45-49 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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