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 Series Title: Population Level: 70-74 years, Hispanic or Latino: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 38702·
 2012 03 69723.
 2012 02 73725·
 2012 01 24757.
 2011 12  16779.
 2011 11  47740.
 2011 10  17662·
 2011 09  55715.
 2011 08  73722·
 2011 07  37735.
 2011 06  74728·
 2011 05  98675.
 2011 04  58719·
 2011 03  19750.
 2011 02  58776·
 2011 01  96793.
 2010 12 49753·
 2010 11 0702.
 2010 10 5724·
 2010 09 19766.
 2010 08 44797.
 2010 07 12763.
 2010 06 80745.
 2010 05 60691·
 2010 04 70706.
 2010 03 12742.
 2010 02 69749·
 2010 01 39770·
 2009 12  77760.
 2009 11  81806.
 2009 10  87794·
 2009 09  99800.
 2009 08  40821·
 2009 07  25746.
 2009 06  70740·
 2009 05  11707·
 2009 04  59669·
 2009 03  78633·
 2009 02  82636.
 2009 01  68676·
 2008 12 60673.
 2008 11 94683.
 2008 10 11680·
 2008 09 89670·
 2008 08 94672·
 2008 07 56651·
 2008 06 68675·
 2008 05 18684.
 2008 04 36675.
 2008 03 70613.
 2008 02 94634·
 2008 01 25641·
 2007 12  85632·
 2007 11  69660.
 2007 10  49630.
 2007 09  4629.
 2007 08  68635·
 2007 07  8653.
 2007 06  22664.
 2007 05  74650·
 2007 04  35611·
 2007 03  69589·
 2007 02  27588.
 2007 01  79616.
 2006 12 62652.
 2006 11 59644.
 2006 10 0615.
 2006 09 87637·
 2006 08 48639.
 2006 07 10658·
 2006 06 5669·
 2006 05 94664.
 2006 04 19622·
 2006 03 78619.
 2006 02 30605·
 2006 01 19590·
 2005 12  26619·
 2005 11  45625.
 2005 10  88611.
 2005 09  5618·
 2005 08  43621·
 2005 07  18600·
 2005 06  15610.
 2005 05  22601·
 2005 04  72604·
 2005 03  27577·
 2005 02  76602.
 2005 01  63594·
 2004 12 37597·
 2004 11 30615·
 2004 10 59560·
 2004 09 49538.
 2004 08 90530·
 2004 07 9532.
 2004 06 75545.
 2004 05 22536.
 2004 04 5524·
 2004 03 70552.
 2004 02 64565·
 2004 01 53574.
 2003 12  82576·
 2003 11  45525·
 2003 10  87530.
 2003 09  36511.
 2003 08  48500.
 2003 07  89569·
 2003 06  33534.
 2003 05  89524.
 2003 04  53496.
 2003 03  86494.
 2003 02  15531.
 2003 01  56539.
 2002 12 71532·
 2002 11 42539·
 2002 10 70550.
 2002 09 7565.
 2002 08 4564·
 2002 07 88577.
 2002 06 62536.
 2002 05 37530.
 2002 04 77527·
 2002 03 80482.
 2002 02 78504·
 2002 01 63519.
 2001 12  40496.
 2001 11  1485·
 2001 10  32461.
 2001 09  31504·
 2001 08  68508.
 2001 07  58551·
 2001 06  60563·
 2001 05  9557·
 2001 04  63511.
 2001 03  81481.
 2001 02  27488.
 2001 01  91445.
 2000 12 48468.
 2000 11 28427·
 2000 10 19439.
 2000 09 98484·
 2000 08 76468.
 2000 07 79499.
 2000 06 50506.
 2000 05 72511·
 2000 04 20456.
 2000 03 43431.
 2000 02 58429.
 2000 01 83426·
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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: 70-74 years, Hispanic or Latino: 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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