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 Series Title: Population Level: 45-54 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 512909·
 2012 03 342888.
 2012 02 202872.
 2012 01 622875·
 2011 12  362775.
 2011 11  222759.
 2011 10  02734·
 2011 09  812736·
 2011 08  572733·
 2011 07  772726.
 2011 06  492721.
 2011 05  672710·
 2011 04  632705.
 2011 03  802689.
 2011 02  802657.
 2011 01  652664.
 2010 12 292804·
 2010 11 392793·
 2010 10 322773·
 2010 09 432763.
 2010 08 572753.
 2010 07 862751.
 2010 06 682741·
 2010 05 962727.
 2010 04 722722·
 2010 03 762706.
 2010 02 742684·
 2010 01 442675.
 2009 12  242707.
 2009 11  912707.
 2009 10  652700.
 2009 09  292692.
 2009 08  882673.
 2009 07  392654·
 2009 06  772652.
 2009 05  222631·
 2009 04  652621·
 2009 03  502593·
 2009 02  752577·
 2009 01  162560·
 2008 12 802573·
 2008 11 822569·
 2008 10 452554.
 2008 09 302549.
 2008 08 832532.
 2008 07 152501·
 2008 06 12492·
 2008 05 102473.
 2008 04 512456.
 2008 03 572448·
 2008 02 812443.
 2008 01 232429.
 2007 12  832442.
 2007 11  402426.
 2007 10  472417.
 2007 09  642419·
 2007 08  52406.
 2007 07  192383·
 2007 06  872375.
 2007 05  522368.
 2007 04  672362·
 2007 03  772353.
 2007 02  152338.
 2007 01  312318·
 2006 12 452296·
 2006 11 202294.
 2006 10 682298·
 2006 09 712291·
 2006 08 382281·
 2006 07 802262·
 2006 06 82231·
 2006 05 652225.
 2006 04 732227.
 2006 03 142214·
 2006 02 252214.
 2006 01 332179.
 2005 12  02173·
 2005 11  22159·
 2005 10  312156.
 2005 09  192155.
 2005 08  942132·
 2005 07  522119·
 2005 06  632106.
 2005 05  922095·
 2005 04  552092·
 2005 03  962082·
 2005 02  842060.
 2005 01  452043.
 2004 12 92027.
 2004 11 902016·
 2004 10 842023·
 2004 09 992033.
 2004 08 72021.
 2004 07 152012·
 2004 06 731999·
 2004 05 981972·
 2004 04 231966.
 2004 03 791946·
 2004 02 911942·
 2004 01 101925·
 2003 12  581956.
 2003 11  121952·
 2003 10  01944.
 2003 09  291934·
 2003 08  381936·
 2003 07  721927.
 2003 06  881902·
 2003 05  751892.
 2003 04  121883·
 2003 03  411867.
 2003 02  681870·
 2003 01  931857.
 2002 12 571682·
 2002 11 241726.
 2002 10 781715.
 2002 09 501788.
 2002 08 731901.
 2002 07 541844.
 2002 06 801760.
 2002 05 411675.
 2002 04 841623·
 2002 03 871622·
 2002 02 631627.
 2002 01 861635.
 2001 12  421674·
 2001 11  51587·
 2001 10  401645·
 2001 09  291698·
 2001 08  221727·
 2001 07  141751·
 2001 06  481725·
 2001 05  381659·
 2001 04  231562.
 2001 03  461573.
 2001 02  501572·
 2001 01  71627·
 2000 12 731594·
 2000 11 581597.
 2000 10 341538.
 2000 09 571555.
 2000 08 201547·
 2000 07 321494.
 2000 06 141525.
 2000 05 311499·
 2000 04 411496.
 2000 03 731524.
 2000 02 261486·
 2000 01 981465.
 1999 12  361434·
 1999 11  141414.
 1999 10  341402.
 1999 09  521389·
 1999 08  301381·
 1999 07  111397.
 1999 06  261372.
 1999 05  131375·
 1999 04  731382·
 1999 03  471410.
 1999 02  151434.
 1999 01  241376.
 1998 12 411369·
 1998 11 261386.
 1998 10 381364·
 1998 09 551307·
 1998 08 351297·
 1998 07 821294.
 1998 06 581313.
 1998 05 01342·
 1998 04 791404.
 1998 03 711335.
 1998 02 641339.
 1998 01 781358·
 1997 12  241317.
 1997 11  741294·
 1997 10  671310·
 1997 09  331266·
 1997 08  461226.
 1997 07  991259·
 1997 06  71247.
 1997 05  351238·
 1997 04  451280·
 1997 03  761268.
 1997 02  461257.
 1997 01  771232.
 1996 12 461150·
 1996 11 631116·
 1996 10 721154·
 1996 09 791135·
 1996 08 991117.
 1996 07 401147.
 1996 06 971106.
 1996 05 841093·
 1996 04 811085.
 1996 03 161041·
 1996 02 611076.
 1996 01 621118.
 1995 12  911091.
 1995 11  201096.
 1995 10  241127.
 1995 09  71173·
 1995 08  551170.
 1995 07  111179.
 1995 06  761171.
 1995 05  391163·
 1995 04  241118.
 1995 03  691084·
 1995 02  301071.
 1995 01  01085.
 1994 12 711109·
 1994 11 21095.
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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: 45-54 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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