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 Series Title: Unemployment Level: Veterans, Gulf War Era, 35 to 44 years, Men: NSA
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 2006 05 7627·
 2006 06 1838·
 2006 07 6637·
 2006 08 2322·
 2006 09 1530.
 2006 10 7228.
 2006 11 2439.
 2006 12 3334·
 2007 01  4035·
 2007 02  4334.
 2007 03  240·
 2007 04  6136·
 2007 05  9916.
 2007 06  1329·
 2007 07  1342·
 2007 08  5034·
 2007 09  7044.
 2007 10  8933.
 2007 11  9437·
 2007 12  7035·
 2008 01 5234.
 2008 02 229·
 2008 03 849·
 2008 04 1443·
 2008 05 7030.
 2008 06 856.
 2008 07 4378.
 2008 08 367·
 2008 09 7665·
 2008 10 9071.
 2008 11 1346·
 2008 12 8063·
 2009 01  4461.
 2009 02  5487.
 2009 03  54106·
 2009 04  14111.
 2009 05  7589.
 2009 06  3279.
 2009 07  3187.
 2009 08  9993·
 2009 09  94111·
 2009 10  8075.
 2009 11  3064.
 2009 12  5576·
 2010 01 52102·
 2010 02 80121·
 2010 03 65106·
 2010 04 2698.
 2010 05 2376.
 2010 06 38113.
 2010 07 7496·
 2010 08 8089·
 2010 09 988·
 2010 10 87105·
 2010 11 1883·
 2010 12 1377·
 2011 01  35121·
 2011 02  8382.
 2011 03  8899·
 2011 04  4298.
 2011 05  51112·
 2011 06  7119.
 2011 07  94108.
 2011 08  13115.
 2011 09  33102·
 2011 10  6778·
 2011 11  7685·
 2011 12  9486·
 2012 01 8078·
 2012 02 9398·
 2012 03 9688·
 2012 04 8086.
 2012 05 19100·
 2012 06 4390·
 2012 07 4186·
 2012 08 8970.
 2012 09 9969·
 2012 10 9852.
 2012 11 2666·
 2012 12 6675·
 2013 01  97101.
 2013 02  64110.
 2013 03  87109.
 2013 04  8094·
 2013 05  1272.
 2013 06  7472·
 2013 07  8794.
 2013 08  2687·
 2013 09  7087·
 2013 10  84117.
 2013 11  1591·
 2013 12  2193.
 2014 01 2293·
 2014 02 7679.
 2014 03 84108·
 2014 04 1185.
 2014 05 4291.
 2014 06 5658·
 2014 07 3199.
 2014 08 6480.
 2014 09 3156.
 2014 10 5647.
 2014 11 1842·
 2014 12 7565·
 2015 01  1476·
 2015 02  3363·
 2015 03  3570·
 2015 04  6369.
 2015 05  4377.
 2015 06  6869·
 2015 07  9462·
 2015 08  7127.
 2015 09  9241·
 2015 10  6757.
 2015 11  3343·
 2015 12  70108.
 2016 01 6163.
 2016 02 6442·
 2016 03 1456.
 2016 04 5347·
 2016 05 7637.
 2016 06 1360.
 2016 07 2681·
 2016 08 3960·
 2016 09 8842·
 2016 10 9764.
 2016 11 8264·
 2016 12 7386·
 2017 01  7287.
 2017 02  2358.
 2017 03  1862·
 2017 04  2365.


 2017 05  2749.
 2017 06  2245.
 2017 07  062.
 2017 08  8525·
 2017 09  8148.
 2017 10  5029·
 2017 11  1340·
 2017 12  7637·
 2018 01 8261.
 2018 02 9048.
 2018 03 7157.
 2018 04 4145.
 2018 05 749·
 2018 06 4845·
 2018 07 1233·
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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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