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 Series Title: Population Level: 40-44 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 841821·
 2012 03 511815.
 2012 02 141816.
 2012 01 951805·
 2011 12  391760.
 2011 11  951756.
 2011 10  101751.
 2011 09  671747·
 2011 08  231742.
 2011 07  991738.
 2011 06  701735·
 2011 05  991732·
 2011 04  871728.
 2011 03  461725.
 2011 02  61720·
 2011 01  371714·
 2010 12 41803.
 2010 11 421795·
 2010 10 561789.
 2010 09 491786·
 2010 08 771781.
 2010 07 191778·
 2010 06 831772.
 2010 05 301767·
 2010 04 301760·
 2010 03 331751·
 2010 02 751746·
 2010 01 991740·
 2009 12  141761·
 2009 11  671756·
 2009 10  441751.
 2009 09  991749.
 2009 08  51745.
 2009 07  271738·
 2009 06  301733.
 2009 05  11728.
 2009 04  11725.
 2009 03  441719·
 2009 02  941716.
 2009 01  981711.
 2008 12 301722·
 2008 11 751719.
 2008 10 251717·
 2008 09 91713.
 2008 08 411706.
 2008 07 21702·
 2008 06 351697·
 2008 05 781693·
 2008 04 101688·
 2008 03 311681·
 2008 02 631674·
 2008 01 751670·
 2007 12  371682·
 2007 11  941678·
 2007 10  701672·
 2007 09  941668·
 2007 08  471664.
 2007 07  481657·
 2007 06  461652.
 2007 05  531646·
 2007 04  921643.
 2007 03  741636·
 2007 02  31635.
 2007 01  981629.
 2006 12 451620·
 2006 11 791620.
 2006 10 791614.
 2006 09 961607.
 2006 08 91601·
 2006 07 951597.
 2006 06 361591.
 2006 05 431586·
 2006 04 71577.
 2006 03 781572·
 2006 02 631568.
 2006 01 571561.
 2005 12  911562.
 2005 11  101556.
 2005 10  731552·
 2005 09  831544.
 2005 08  361538.
 2005 07  971532.
 2005 06  31527.
 2005 05  901523.
 2005 04  421517.
 2005 03  711513·
 2005 02  171506.
 2005 01  711501.
 2004 12 351497.
 2004 11 901490·
 2004 10 11485.
 2004 09 471476.
 2004 08 651471.
 2004 07 331462.
 2004 06 701457.
 2004 05 601452.
 2004 04 71448.
 2004 03 91441.
 2004 02 611432·
 2004 01 811427·
 2003 12  621454.
 2003 11  481445·
 2003 10  361439·
 2003 09  31430.
 2003 08  551421·
 2003 07  81414·
 2003 06  851406·
 2003 05  461399.
 2003 04  371389·
 2003 03  701383·
 2003 02  191377.
 2003 01  531370·
 2002 12 831332.
 2002 11 401347.
 2002 10 771400.
 2002 09 941412·
 2002 08 931418.
 2002 07 511302·
 2002 06 211224·
 2002 05 631098.
 2002 04 931181·
 2002 03 581278·
 2002 02 391265.
 2002 01 801273·
 2001 12  341279·
 2001 11  441287.
 2001 10  451272.
 2001 09  871259·
 2001 08  891293·
 2001 07  151270·
 2001 06  761219·
 2001 05  551165·
 2001 04  611186.
 2001 03  31182.
 2001 02  951221.
 2001 01  781211·
 2000 12 741189·
 2000 11 651213.
 2000 10 901195·
 2000 09 741152.
 2000 08 791131.
 2000 07 821170·
 2000 06 731150.
 2000 05 871156.
 2000 04 511086·
 2000 03 601059·
 2000 02 841065.
 2000 01 881101·
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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: 40-44 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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