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 Series Title: Unemployment Level: Veterans, Gulf War Era, 35 to 44 years, Women: NSA
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 2006 05 186.
 2006 06 86
 2006 07 484·
 2006 08 380·
 2006 09 148.
 2006 10 3611.
 2006 11 6611.
 2006 12 974.
 2007 01  10.
 2007 02  94.
 2007 03  102.
 2007 04  802·
 2007 05  301·
 2007 06  879.
 2007 07  938·
 2007 08  301.
 2007 09  760.
 2007 10  772.
 2007 11  5313·
 2007 12  1812.
 2008 01 406.
 2008 02 11
 2008 03 520·
 2008 04 361·
 2008 05 464.
 2008 06 445.
 2008 07 788·
 2008 08 526·
 2008 09 4611.
 2008 10 6027·
 2008 11 4510.
 2008 12 6915·
 2009 01  1510·
 2009 02  6315.
 2009 03  9024·
 2009 04  9525·
 2009 05  5214·
 2009 06  8713·
 2009 07  779·
 2009 08  80
 2009 09  8414·
 2009 10  8715.
 2009 11  9217·
 2009 12  4112.
 2010 01 6116·
 2010 02 4513·
 2010 03 4913.
 2010 04 2326·
 2010 05 5824.
 2010 06 6830·
 2010 07 8610·
 2010 08 9511.
 2010 09 7612·
 2010 10 8818.
 2010 11 6613·
 2010 12 513·
 2011 01  4015·
 2011 02  6115·
 2011 03  7615·
 2011 04  1123.
 2011 05  025·
 2011 06  6819.
 2011 07  3038.
 2011 08  1813·
 2011 09  3225.
 2011 10  1719.
 2011 11  667.
 2011 12  428·
 2012 01 3629·
 2012 02 3914.
 2012 03 4516.
 2012 04 776·
 2012 05 3814.
 2012 06 9118.
 2012 07 5720·
 2012 08 4117·
 2012 09 8823·
 2012 10 5516·
 2012 11 148·
 2012 12 8013.
 2013 01  6129.
 2013 02  3616.
 2013 03  5320.
 2013 04  6218·
 2013 05  5845·
 2013 06  6728.
 2013 07  3927·
 2013 08  8120.
 2013 09  4
 2013 10  413·
 2013 11  5811·
 2013 12  5610·
 2014 01 5012·
 2014 02 2931.
 2014 03 2427·
 2014 04 3227.
 2014 05 7034.
 2014 06 4841·
 2014 07 7428·
 2014 08 7821·
 2014 09 6642.
 2014 10 9435.
 2014 11 7223·
 2014 12 8825·
 2015 01  6322.
 2015 02  2323.
 2015 03  58·
 2015 04  8119.
 2015 05  1029.
 2015 06  1621·
 2015 07  8622.
 2015 08  118·
 2015 09  8519.
 2015 10  8020·
 2015 11  5316·
 2015 12  1810·
 2016 01 8617.
 2016 02 4710·
 2016 03 7018·
 2016 04 2417·
 2016 05 3913·
 2016 06 7420.
 2016 07 2329.
 2016 08 4123·
 2016 09 9512.
 2016 10 414.
 2016 11 2612.
 2016 12 113·
 2017 01  291·
 2017 02  5625·
 2017 03  1619·
 2017 04  43·
 2017 05  426.
 2017 06  5111.


 2017 07  570.
 2017 08  1420.
 2017 09  58
 2017 10  815.
 2017 11  3610·
 2017 12  6010.
 2018 01 2912.
 2018 02 2915.
 2018 03 677·
 2018 04 8710·
 2018 05 297.
 2018 06 28.
 2018 07 8711.
 2018 08 6311.
 2018 09 5913.
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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, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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