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 Series Title: Not in Labor Force, Hispanic or Latino 70-74 years, Men: NSA
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 2000 01 86140·
 2000 02 46145·
 2000 03 93154.
 2000 04 67184·
 2000 05 32194·
 2000 06 54194.
 2000 07 2170.
 2000 08 75163.
 2000 09 51183·
 2000 10 66159·
 2000 11 18173.
 2000 12 87177.
 2001 01  92167.
 2001 02  65173.
 2001 03  54170·
 2001 04  49190.
 2001 05  32210·
 2001 06  57179.
 2001 07  48194.
 2001 08  29188·
 2001 09  71205·
 2001 10  73185.
 2001 11  63207·
 2001 12  21167.
 2002 01 34185·
 2002 02 71185·
 2002 03 87166.
 2002 04 44204·
 2002 05 71215·
 2002 06 32210.
 2002 07 32212·
 2002 08 44215.
 2002 09 58215·
 2002 10 62226·
 2002 11 36211·
 2002 12 88202·
 2003 01  96192.
 2003 02  93188.
 2003 03  63181·
 2003 04  71196·
 2003 05  9201·
 2003 06  82197·
 2003 07  1211·
 2003 08  12202.
 2003 09  49197·
 2003 10  11192.
 2003 11  61180.
 2003 12  55201.
 2004 01 90194·
 2004 02 86196.
 2004 03 83197·
 2004 04 69204·
 2004 05 33194.
 2004 06 38204·
 2004 07 28183.
 2004 08 49198·
 2004 09 3201·
 2004 10 25209·
 2004 11 86229.
 2004 12 13198·
 2005 01  51188.
 2005 02  29200·
 2005 03  68193·
 2005 04  7213.
 2005 05  52220·
 2005 06  54212.
 2005 07  13229.
 2005 08  98230·
 2005 09  6202·
 2005 10  34201·
 2005 11  83194·
 2005 12  81206.
 2006 01 39198·
 2006 02 25185.
 2006 03 66183·
 2006 04 75205·
 2006 05 2236·
 2006 06 9216.
 2006 07 76223·
 2006 08 25223·
 2006 09 69217·
 2006 10 92220·
 2006 11 51223·
 2006 12 99209·
 2007 01  41195.
 2007 02  6188·
 2007 03  52212·
 2007 04  92223.
 2007 05  43232.
 2007 06  7223.
 2007 07  68224·
 2007 08  22224·
 2007 09  26209.
 2007 10  77227·
 2007 11  12226.
 2007 12  34226.
 2008 01 66237.
 2008 02 24223.
 2008 03 22231.
 2008 04 97267.
 2008 05 62260.
 2008 06 77257·
 2008 07 60250.
 2008 08 6253.
 2008 09 39222·
 2008 10 95211·
 2008 11 15206.
 2008 12 78217.
 2009 01  50215.
 2009 02  59225.
 2009 03  0238·
 2009 04  60218.
 2009 05  68241.
 2009 06  75250.
 2009 07  52247.
 2009 08  18276.
 2009 09  94244.
 2009 10  75226·
 2009 11  33256.
 2009 12  49266·
 2010 01 54231·
 2010 02 15245.
 2010 03 34234.
 2010 04 70197.
 2010 05 97221·
 2010 06 78235·
 2010 07 65248.
 2010 08 26271·
 2010 09 0279·
 2010 10 70255.
 2010 11 64245.
 2010 12 86229.
 2011 01  63246·
 2011 02  22248·
 2011 03  96226.
 2011 04  45204·
 2011 05  11199·
 2011 06  92234.
 2011 07  47233·
 2011 08  21222·
 2011 09  94229.
 2011 10  60206·
 2011 11  31244.
 2011 12  59269·
 2012 01 88265.


 2012 02 34251·
 2012 03 86252.
 2012 04 27248.
 2012 05 93202.
 2012 06 46213·
 2012 07 73189.
 2012 08 20201.
 2012 09 35227.
 2012 10 50232·
 2012 11 82253.
 2012 12 57268·
 2013 01  64256.
 2013 02  31267·
 2013 03  25242.
 2013 04  82228.
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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: Not in Labor Force, Hispanic or Latino 70-74 years, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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