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 Series Title: Unemployment Level: Veterans, Other Service Periods, 35 to 44 years, Women: NSA
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 2006 05 610.
 2006 06 667.
 2006 07 727.
 2006 08 803.
 2006 09 1710.
 2006 10 1217·
 2006 11 973·
 2006 12 3213.
 2007 01  593.
 2007 02  769.
 2007 03  4210.
 2007 04  26.
 2007 05  356.
 2007 06  386.
 2007 07  2010.
 2007 08  33
 2007 09  233·
 2007 10  66.
 2007 11  683.
 2007 12  957.
 2008 01 224·
 2008 02 117.
 2008 03 49
 2008 04 825·
 2008 05 583.
 2008 06 9
 2008 07 520.
 2008 08 133·
 2008 09 810.
 2008 10 834.
 2008 11 897·
 2008 12 320.
 2009 01  6611.
 2009 02  4011.
 2009 03  987·
 2009 04  815·
 2009 05  147·
 2009 06  9
 2009 07  41
 2009 08  364.
 2009 09  506.
 2009 10  500.
 2009 11  82·
 2009 12  346.
 2010 01 256·
 2010 02 425.
 2010 03 1013.
 2010 04 479·
 2010 05 146.
 2010 06 937.
 2010 07 854.
 2010 08 434·
 2010 09 174.
 2010 10 340·
 2010 11 980.
 2010 12 180.
 2011 01  603.
 2011 02  221·
 2011 03  342.
 2011 04  906.
 2011 05  939·
 2011 06  3826·
 2011 07  817.
 2011 08  311.
 2011 09  92
 2011 10  900·
 2011 11  573·
 2011 12  263.
 2012 01 570.
 2012 02 80·
 2012 03 430·
 2012 04 540·
 2012 05 130.
 2012 06 500·
 2012 07 562·
 2012 08 52.
 2012 09 10
 2012 10 972.
 2012 11 80.
 2012 12 250.
 2013 01  25
 2013 02  566·
 2013 03  36
 2013 04  810.
 2013 05  585.
 2013 06  595·
 2013 07  4
 2013 08  68
 2013 09  330·
 2013 10  610·
 2013 11  990.
 2013 12  60·
 2014 01 20·
 2014 02 450·
 2014 03 350.
 2014 04 38
 2014 05 390.
 2014 06 170·
 2014 07 490·
 2014 08 330·
 2014 09 45
 2014 10 90·
 2014 11 40·
 2014 12 870.
 2015 01  460.
 2015 02  78
 2015 03  880.
 2015 04  160.
 2015 05  920.
 2015 06  50·
 2015 07  140.
 2015 08  670.
 2015 09  573.
 2015 10  973·
 2015 11  200.
 2015 12  80.
 2016 01 440.
 2016 02 85
 2016 03 680·
 2016 04 330.
 2016 05 770·
 2016 06 270·
 2016 07 470.
 2016 08 620.
 2016 09 50.
 2016 10 30·
 2016 11 700·
 2016 12 380.
 2017 01  60·
 2017 02  210.
 2017 03  740.
 2017 04  300.


 2017 05  790·
 2017 06  120·
 2017 07  22
 2017 08  340.
 2017 09  500.
 2017 10  330.
 2017 11  30·
 2017 12  67
 2018 01 680·
 2018 02 650.
 2018 03 280.
 2018 04 740.
 2018 05 100·
 2018 06 150.
 2018 07 37
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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, 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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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