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 Series Title: Unemployment Level: Veterans, Gulf War Era, 35 to 44 years, Men: NSA
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 2006 05 7727·
 2006 06 3438·
 2006 07 4237·
 2006 08 3422·
 2006 09 6830.
 2006 10 428.
 2006 11 539·
 2006 12 6334·
 2007 01  5035.
 2007 02  9834.
 2007 03  9540·
 2007 04  1636·
 2007 05  7516·
 2007 06  9629·
 2007 07  2342.
 2007 08  3734·
 2007 09  1644.
 2007 10  733.
 2007 11  2837·
 2007 12  9535·
 2008 01 7534.
 2008 02 6129·
 2008 03 7249·
 2008 04 8443.
 2008 05 7730.
 2008 06 1456·
 2008 07 4478·
 2008 08 2367·
 2008 09 7265.
 2008 10 5071·
 2008 11 5646·
 2008 12 5663·
 2009 01  3661·
 2009 02  7487·
 2009 03  47106.
 2009 04  53111.
 2009 05  6989·
 2009 06  1879.
 2009 07  7887.
 2009 08  893·
 2009 09  96111·
 2009 10  3875·
 2009 11  3964·
 2009 12  4076.
 2010 01 68102·
 2010 02 16121·
 2010 03 41106·
 2010 04 9298·
 2010 05 6176.
 2010 06 60113·
 2010 07 2496·
 2010 08 3489·
 2010 09 7488·
 2010 10 0105.
 2010 11 4983.
 2010 12 6177.
 2011 01  33121.
 2011 02  9382.
 2011 03  599·
 2011 04  9198·
 2011 05  88112·
 2011 06  21119.
 2011 07  4108·
 2011 08  69115·
 2011 09  16102.
 2011 10  9078·
 2011 11  8485.
 2011 12  6386.
 2012 01 1578·
 2012 02 3398·
 2012 03 988.
 2012 04 6886.
 2012 05 12100·
 2012 06 590.
 2012 07 6686·
 2012 08 370.
 2012 09 5869·
 2012 10 8952·
 2012 11 6866.
 2012 12 1175.
 2013 01  26101·
 2013 02  90110·
 2013 03  53109.
 2013 04  6494.
 2013 05  1872.
 2013 06  4172·
 2013 07  8494.
 2013 08  5387·
 2013 09  6087.
 2013 10  99117·
 2013 11  4991·
 2013 12  9993.
 2014 01 193.
 2014 02 4479.
 2014 03 60108.
 2014 04 4585.
 2014 05 1691.
 2014 06 8458.
 2014 07 5599·
 2014 08 6280.
 2014 09 856.
 2014 10 5047·
 2014 11 9942.
 2014 12 4265.
 2015 01  9976.
 2015 02  9963.
 2015 03  7770.
 2015 04  569·
 2015 05  4277·
 2015 06  1369·
 2015 07  362·
 2015 08  9527·
 2015 09  1241·
 2015 10  9757.
 2015 11  1643·
 2015 12  82108·
 2016 01 863.
 2016 02 8442.
 2016 03 7856·
 2016 04 5947.
 2016 05 5737.
 2016 06 3160·
 2016 07 7681·
 2016 08 4660.
 2016 09 842·
 2016 10 1964.
 2016 11 2464.
 2016 12 8686.
 2017 01  3887.
 2017 02  5558·
 2017 03  6062.
 2017 04  5065·
 2017 05  4649·
 2017 06  6945·


 2017 07  4662.
 2017 08  3025.
 2017 09  5748.
 2017 10  2029.
 2017 11  7140·
 2017 12  4737·
 2018 01 2361·
 2018 02 8848.
 2018 03 4757.
 2018 04 4445·
 2018 05 1949·
 2018 06 8145·
 2018 07 1233·
 2018 08 9048.
 2018 09 4451·
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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
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

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