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 Series Title: Unemployment Level: Veterans, Gulf War Era, 35 to 44 years, Men: NSA
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 2006 05 4627.
 2006 06 7638.
 2006 07 3337.
 2006 08 4022·
 2006 09 4130.
 2006 10 8328·
 2006 11 1939.
 2006 12 2534.
 2007 01  6435.
 2007 02  5234.
 2007 03  6740.
 2007 04  7236.
 2007 05  6616.
 2007 06  6329·
 2007 07  9242.
 2007 08  2434.
 2007 09  2344·
 2007 10  2333·
 2007 11  3137.
 2007 12  5035·
 2008 01 3434.
 2008 02 6429.
 2008 03 4749·
 2008 04 4543.
 2008 05 2730.
 2008 06 4356.
 2008 07 2878·
 2008 08 2867.
 2008 09 5065·
 2008 10 4171·
 2008 11 8746.
 2008 12 4263·
 2009 01  7961.
 2009 02  6487.
 2009 03  62106·
 2009 04  58111.
 2009 05  1589·
 2009 06  4579.
 2009 07  1587.
 2009 08  6993.
 2009 09  83111.
 2009 10  4075·
 2009 11  3564·
 2009 12  9476·
 2010 01 33102·
 2010 02 31121·
 2010 03 34106·
 2010 04 7798·
 2010 05 4176·
 2010 06 25113.
 2010 07 5196.
 2010 08 8889·
 2010 09 788.
 2010 10 52105·
 2010 11 4783.
 2010 12 2177·
 2011 01  56121·
 2011 02  7082.
 2011 03  1299.
 2011 04  9498·
 2011 05  40112·
 2011 06  60119·
 2011 07  58108·
 2011 08  53115.
 2011 09  32102.
 2011 10  2978.
 2011 11  2385·
 2011 12  6686.
 2012 01 3578·
 2012 02 998·
 2012 03 6988.
 2012 04 2786.
 2012 05 72100·
 2012 06 5690.
 2012 07 8686.
 2012 08 5570.
 2012 09 9569·
 2012 10 5252·
 2012 11 8466.
 2012 12 9575.
 2013 01  79101·
 2013 02  3110·
 2013 03  3109·
 2013 04  1694.
 2013 05  2572·
 2013 06  4272.
 2013 07  694·
 2013 08  1187·
 2013 09  5687.
 2013 10  24117·
 2013 11  8091·
 2013 12  193·
 2014 01 2593.
 2014 02 3279·
 2014 03 38108·
 2014 04 2885·
 2014 05 791·
 2014 06 7158.
 2014 07 1799·
 2014 08 6380.
 2014 09 156·
 2014 10 7547.
 2014 11 8242.
 2014 12 9965·
 2015 01  3376·
 2015 02  9963.
 2015 03  2070.
 2015 04  5669.
 2015 05  5477·
 2015 06  2469.
 2015 07  4362·
 2015 08  7727.
 2015 09  3941.
 2015 10  5957.
 2015 11  9043.
 2015 12  33108.
 2016 01 8863·
 2016 02 3342.
 2016 03 2356.
 2016 04 1647.
 2016 05 2737·
 2016 06 560.
 2016 07 3081·
 2016 08 4660·
 2016 09 742.
 2016 10 5564.
 2016 11 2564.
 2016 12 6886.
 2017 01  187·
 2017 02  9058.
 2017 03  4562.
 2017 04  5065·
 2017 05  1249·
 2017 06  4245.
 2017 07  5362.
 2017 08  8625·
 2017 09  6448.


 2017 10  6829·
 2017 11  3740·
 2017 12  9637.
 2018 01 861·
 2018 02 4948·
 2018 03 1057·
 2018 04 2445.
 2018 05 1949·
 2018 06 9145.
 2018 07 933·
 2018 08 3948.
 2018 09 9751.
 2018 10 2761·
 2018 11 9842·
 2018 12 3582·
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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, Gulf War Era, 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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