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 Series Title: Unemployment Level: Veterans, Other Service Periods, 35 to 44 years, Men: NSA
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 2006 05 429.
 2006 06 5733·
 2006 07 7927.
 2006 08 3641·
 2006 09 1634.
 2006 10 1246.
 2006 11 1647·
 2006 12 5346.
 2007 01  2656·
 2007 02  9750.
 2007 03  8648.
 2007 04  045·
 2007 05  8319·
 2007 06  9318·
 2007 07  116.
 2007 08  2237·
 2007 09  6434·
 2007 10  739.
 2007 11  9852·
 2007 12  8640.
 2008 01 6943·
 2008 02 7039·
 2008 03 4126.
 2008 04 8823.
 2008 05 2331.
 2008 06 4035.
 2008 07 1833·
 2008 08 4741.
 2008 09 7735.
 2008 10 9844·
 2008 11 4245·
 2008 12 654.
 2009 01  556.
 2009 02  5169.
 2009 03  5078·
 2009 04  3462·
 2009 05  967·
 2009 06  2953·
 2009 07  638.
 2009 08  2729.
 2009 09  1355.
 2009 10  9163·
 2009 11  9767.
 2009 12  371.
 2010 01 6848.
 2010 02 1750·
 2010 03 3662·
 2010 04 658·
 2010 05 5032·
 2010 06 1446·
 2010 07 6142.
 2010 08 541·
 2010 09 5945.
 2010 10 1437·
 2010 11 3520·
 2010 12 9526·
 2011 01  2120·
 2011 02  7332·
 2011 03  4638.
 2011 04  9430.
 2011 05  8427·
 2011 06  7338·
 2011 07  611·
 2011 08  4715·
 2011 09  2611·
 2011 10  2117.
 2011 11  5517.
 2011 12  2335.
 2012 01 4733.
 2012 02 4845·
 2012 03 5327·
 2012 04 1626.
 2012 05 7122.
 2012 06 1219·
 2012 07 9027.
 2012 08 4510.
 2012 09 496.
 2012 10 935.
 2012 11 798.
 2012 12 547.
 2013 01  573·
 2013 02  98
 2013 03  573.
 2013 04  1318.
 2013 05  9513.
 2013 06  598.
 2013 07  8610·
 2013 08  157·
 2013 09  895·
 2013 10  329.
 2013 11  569·
 2013 12  804·
 2014 01 880·
 2014 02 02·
 2014 03 792.
 2014 04 522.
 2014 05 681.
 2014 06 691.
 2014 07 925·
 2014 08 00.
 2014 09 300.
 2014 10 700.
 2014 11 593.
 2014 12 190·
 2015 01  990.
 2015 02  600·
 2015 03  680·
 2015 04  260.
 2015 05  261.
 2015 06  21
 2015 07  300·
 2015 08  670.
 2015 09  850.
 2015 10  59
 2015 11  860.
 2015 12  103·
 2016 01 770.
 2016 02 64.
 2016 03 960·
 2016 04 502.
 2016 05 273.
 2016 06 190.
 2016 07 500.
 2016 08 60.
 2016 09 870·
 2016 10 790.
 2016 11 590.
 2016 12 220.
 2017 01  31


 2017 02  930.
 2017 03  630·
 2017 04  680·
 2017 05  600·
 2017 06  930.
 2017 07  23
 2017 08  360.
 2017 09  980.
 2017 10  350.
 2017 11  280.
 2017 12  470.
 2018 01 980.
 2018 02 00·
 2018 03 900.
 2018 04 44
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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: Unemployment Level: Veterans, Other Service Periods, 35 to 44 years, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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