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 Series Title: Unemployment Level: Veterans, Gulf War Era, 35 to 44 years, Women: NSA
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 2006 05 836·
 2006 06 199.
 2006 07 674·
 2006 08 980·
 2006 09 88·
 2006 10 9411·
 2006 11 5711.
 2006 12 264·
 2007 01  110.
 2007 02  814.
 2007 03  612.
 2007 04  662.
 2007 05  441.
 2007 06  609.
 2007 07  928·
 2007 08  611·
 2007 09  810·
 2007 10  38
 2007 11  8613.
 2007 12  8012.
 2008 01 246.
 2008 02 471.
 2008 03 80·
 2008 04 181·
 2008 05 974·
 2008 06 44
 2008 07 448·
 2008 08 9426·
 2008 09 5011·
 2008 10 927·
 2008 11 910·
 2008 12 5115·
 2009 01  6010.
 2009 02  5115.
 2009 03  3924.
 2009 04  6025·
 2009 05  2614.
 2009 06  013.
 2009 07  989·
 2009 08  143.
 2009 09  7414.
 2009 10  1315.
 2009 11  7317.
 2009 12  3212.
 2010 01 5516·
 2010 02 7213·
 2010 03 7813·
 2010 04 5826.
 2010 05 4324.
 2010 06 8330·
 2010 07 5010·
 2010 08 6211.
 2010 09 4012.
 2010 10 7918·
 2010 11 5213.
 2010 12 383·
 2011 01  7015.
 2011 02  1415·
 2011 03  7215.
 2011 04  423·
 2011 05  8425.
 2011 06  7319.
 2011 07  2438·
 2011 08  613·
 2011 09  5725.
 2011 10  6019·
 2011 11  447·
 2011 12  118·
 2012 01 9029·
 2012 02 814.
 2012 03 9616·
 2012 04 156.
 2012 05 814·
 2012 06 7218·
 2012 07 6720·
 2012 08 3717.
 2012 09 6123·
 2012 10 3616.
 2012 11 728.
 2012 12 2013·
 2013 01  2629.
 2013 02  616.
 2013 03  4620.
 2013 04  3318·
 2013 05  145.
 2013 06  1228·
 2013 07  5427.
 2013 08  7220.
 2013 09  14
 2013 10  1213.
 2013 11  8311.
 2013 12  5410.
 2014 01 1312.
 2014 02 8831.
 2014 03 4727.
 2014 04 2527.
 2014 05 7534·
 2014 06 4641·
 2014 07 8228·
 2014 08 5221·
 2014 09 9942·
 2014 10 1735·
 2014 11 5223.
 2014 12 3225.
 2015 01  1222.
 2015 02  5923.
 2015 03  458·
 2015 04  8119·
 2015 05  6429·
 2015 06  5221·
 2015 07  7422.
 2015 08  4618.
 2015 09  2919.
 2015 10  520·
 2015 11  7616·
 2015 12  9410·
 2016 01 917.
 2016 02 4710·
 2016 03 1518·
 2016 04 2017·
 2016 05 2813·
 2016 06 3720.
 2016 07 7829.
 2016 08 4323.
 2016 09 3812.
 2016 10 554·
 2016 11 7812.
 2016 12 8
 2017 01  131.


 2017 02  825·
 2017 03  5419·
 2017 04  833·
 2017 05  556·
 2017 06  2811·
 2017 07  670.
 2017 08  6220·
 2017 09  875·
 2017 10  725·
 2017 11  610·
 2017 12  6510·
 2018 01 6112.
 2018 02 2115.
 2018 03 847·
 2018 04 3610.
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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
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

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