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 Series Title: Unemployment Level: Veterans, Other Service Periods, 35 to 44 years, Men: NSA
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 2006 05 4929.
 2006 06 1333.
 2006 07 5927·
 2006 08 2041.
 2006 09 5434·
 2006 10 2246·
 2006 11 8647·
 2006 12 3846.
 2007 01  5156·
 2007 02  5550.
 2007 03  4048.
 2007 04  8045.
 2007 05  8919.
 2007 06  9318·
 2007 07  3216·
 2007 08  9037·
 2007 09  4534·
 2007 10  4239·
 2007 11  152·
 2007 12  3740.
 2008 01 1843.
 2008 02 3539.
 2008 03 926·
 2008 04 1523·
 2008 05 3431.
 2008 06 2835.
 2008 07 4533·
 2008 08 4441·
 2008 09 4335.
 2008 10 344.
 2008 11 2245.
 2008 12 6654·
 2009 01  2156·
 2009 02  6569.
 2009 03  7678.
 2009 04  5262·
 2009 05  6867.
 2009 06  4853.
 2009 07  7238·
 2009 08  9629.
 2009 09  955·
 2009 10  863·
 2009 11  9767.
 2009 12  1671.
 2010 01 9648·
 2010 02 2550.
 2010 03 6362.
 2010 04 5858.
 2010 05 232.
 2010 06 846.
 2010 07 1042·
 2010 08 8941.
 2010 09 2945·
 2010 10 8737.
 2010 11 9920·
 2010 12 526.
 2011 01  220·
 2011 02  1932.
 2011 03  1938·
 2011 04  2430·
 2011 05  7227·
 2011 06  8638·
 2011 07  8211·
 2011 08  9115.
 2011 09  1311.
 2011 10  9517·
 2011 11  2717.
 2011 12  7435·
 2012 01 2733.
 2012 02 7645.
 2012 03 1527.
 2012 04 6826.
 2012 05 3822.
 2012 06 8719·
 2012 07 3627·
 2012 08 9210·
 2012 09 976·
 2012 10 105·
 2012 11 38.
 2012 12 907·
 2013 01  803.
 2013 02  513·
 2013 03  523·
 2013 04  3118·
 2013 05  8613·
 2013 06  418·
 2013 07  4710.
 2013 08  97.
 2013 09  425·
 2013 10  379.
 2013 11  759.
 2013 12  444·
 2014 01 970·
 2014 02 222.
 2014 03 502.
 2014 04 802·
 2014 05 261·
 2014 06 11.
 2014 07 105·
 2014 08 850.
 2014 09 32
 2014 10 60.
 2014 11 173.
 2014 12 550·
 2015 01  38
 2015 02  94
 2015 03  600.
 2015 04  70.
 2015 05  951·
 2015 06  460·
 2015 07  500.
 2015 08  86
 2015 09  78
 2015 10  700·
 2015 11  27
 2015 12  623·
 2016 01 890·
 2016 02 974.
 2016 03 520.
 2016 04 28
 2016 05 523.
 2016 06 820.
 2016 07 150·
 2016 08 40.
 2016 09 170·
 2016 10 90·
 2016 11 27
 2016 12 340·
 2017 01  600.
 2017 02  840·
 2017 03  270.
 2017 04  860.
 2017 05  820·
 2017 06  38


 2017 07  770·
 2017 08  560·
 2017 09  80.
 2017 10  270.
 2017 11  660·
 2017 12  610·
 2018 01 880.
 2018 02 350·
 2018 03 6
 2018 04 470·
 2018 05 980.
 2018 06 670.
 2018 07 350.
 2018 08 82
 2018 09 370.
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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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