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 Series Title: Unemployment Level: Veterans, Gulf War Era II, 35 to 44 years, Women: NSA
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 2008 12 960·
 2009 01  60.
 2009 02  893.
 2009 03  924·
 2009 04  84
 2009 05  394·
 2009 06  315·
 2009 07  650.
 2009 08  260.
 2009 09  583·
 2009 10  613·
 2009 11  256.
 2009 12  73
 2010 01 446.
 2010 02 93
 2010 03 148·
 2010 04 9910·
 2010 05 57.
 2010 06 6313·
 2010 07 42·
 2010 08 50·
 2010 09 71
 2010 10 362.
 2010 11 873.
 2010 12 160·
 2011 01  08·
 2011 02  991·
 2011 03  822·
 2011 04  832.
 2011 05  733.
 2011 06  641·
 2011 07  357.
 2011 08  822·
 2011 09  9713·
 2011 10  713.
 2011 11  137.
 2011 12  120.
 2012 01 45.
 2012 02 810.
 2012 03 126·
 2012 04 984.
 2012 05 49
 2012 06 82
 2012 07 500.
 2012 08 934.
 2012 09 169·
 2012 10 883.
 2012 11 710·
 2012 12 705.
 2013 01  97·
 2013 02  360·
 2013 03  457.
 2013 04  304.
 2013 05  6211·
 2013 06  904·
 2013 07  656·
 2013 08  9911.
 2013 09  300.
 2013 10  3611.
 2013 11  523·
 2013 12  266·
 2014 01 967·
 2014 02 8913·
 2014 03 483·
 2014 04 888.
 2014 05 660·
 2014 06 8511.
 2014 07 246·
 2014 08 8511.
 2014 09 7117·
 2014 10 8834.
 2014 11 7313·
 2014 12 4110.
 2015 01  68
 2015 02  860.
 2015 03  140·
 2015 04  910.
 2015 05  390·
 2015 06  91
 2015 07  924·
 2015 08  624.
 2015 09  918·
 2015 10  4215.
 2015 11  7511.
 2015 12  110.
 2016 01 558·
 2016 02 16·
 2016 03 5911·
 2016 04 529·
 2016 05 884.
 2016 06 578.
 2016 07 6114·
 2016 08 654.
 2016 09 7110·
 2016 10 211.
 2016 11 275·
 2016 12 153·
 2017 01  111.
 2017 02  3310·
 2017 03  2410.
 2017 04  4


 2017 05  400·
 2017 06  547.
 2017 07  480·
 2017 08  5514·
 2017 09  140·
 2017 10  730.
 2017 11  1810.
 2017 12  205.
 2018 01 150·
 2018 02 39.
 2018 03 774.
 2018 04 748·
 2018 05 506·
 2018 06 818·
 2018 07 9610·
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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 II, 35 to 44 years, Women: 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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