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 Series Title: Number Unemployed for 5-14 Weeks, Office and Administrative Support Occupations: NSA
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 2000 01 37226.
 2000 02 64286.
 2000 03 80240.
 2000 04 44265.
 2000 05 40225·
 2000 06 52220·
 2000 07 67242·
 2000 08 4273·
 2000 09 59200.
 2000 10 88235·
 2000 11 5272.
 2000 12 12268.
 2001 01  44239·
 2001 02  54249·
 2001 03  7295.
 2001 04  13287·
 2001 05  72255.
 2001 06  57239·
 2001 07  11314·
 2001 08  76319·
 2001 09  42243.
 2001 10  28338.
 2001 11  79351.
 2001 12  95352·
 2002 01 80298·
 2002 02 25385.
 2002 03 0335·
 2002 04 89320.
 2002 05 37278·
 2002 06 28324·
 2002 07 86340.
 2002 08 2325.
 2002 09 87325.
 2002 10 44274.
 2002 11 75321.
 2002 12 5319.
 2003 01  31287·
 2003 02  6374.
 2003 03  31326.
 2003 04  89302.
 2003 05  95246·
 2003 06  68346·
 2003 07  40298.
 2003 08  76331.
 2003 09  28307·
 2003 10  15267.
 2003 11  17325·
 2003 12  8307·
 2004 01 7271.
 2004 02 51298·
 2004 03 98356.
 2004 04 56270·
 2004 05 32272·
 2004 06 8332.
 2004 07 47345·
 2004 08 13338.
 2004 09 27286·
 2004 10 44317.
 2004 11 51278·
 2004 12 98258·
 2005 01  44325·
 2005 02  39328.
 2005 03  24324.
 2005 04  55259·
 2005 05  58256·
 2005 06  1317·
 2005 07  4320.
 2005 08  55271·
 2005 09  68230·
 2005 10  61255.
 2005 11  52325·
 2005 12  90293.
 2006 01 2277.
 2006 02 76251·
 2006 03 58250.
 2006 04 79249·
 2006 05 8230·
 2006 06 27260·
 2006 07 34273·
 2006 08 68291.
 2006 09 63248·
 2006 10 21206.
 2006 11 18272·
 2006 12 26225·
 2007 01  67302.
 2007 02  90341.
 2007 03  73234·
 2007 04  45213.
 2007 05  44198·
 2007 06  90239.
 2007 07  86301·
 2007 08  46268·
 2007 09  47190.
 2007 10  3257.
 2007 11  71231.
 2007 12  73265.
 2008 01 49273·
 2008 02 36296·
 2008 03 65342.
 2008 04 94291.
 2008 05 51233.
 2008 06 19323·
 2008 07 32395.
 2008 08 4371·
 2008 09 80358.
 2008 10 11323.
 2008 11 60388·
 2008 12 22366.
 2009 01  84450·
 2009 02  92543.
 2009 03  60482.
 2009 04  93425.
 2009 05  40434.
 2009 06  69394.
 2009 07  71434.
 2009 08  85451·
 2009 09  47460.
 2009 10  74356.
 2009 11  57374.
 2009 12  92342·
 2010 01 32335·
 2010 02 63400.
 2010 03 4371·
 2010 04 34261.
 2010 05 45262·
 2010 06 19289.
 2010 07 26344·
 2010 08 54382.
 2010 09 61392.
 2010 10 47380.
 2010 11 60337·
 2010 12 23341.
 2011 01  80355·
 2011 02  79395.
 2011 03  70389.
 2011 04  33255.
 2011 05  28262.
 2011 06  73327·
 2011 07  44347.
 2011 08  5368·
 2011 09  55279·
 2011 10  9334.
 2011 11  94342·
 2011 12  82318·
 2012 01 37289·


 2012 02 94423·
 2012 03 58372.
 2012 04 33323·
 2012 05 74234·
 2012 06 60289.
 2012 07 99360·
 2012 08 53294.
 2012 09 91309.
 2012 10 63302.
 2012 11 5267.
 2012 12 61307.
 2013 01  39332·
 2013 02  86384·
 2013 03  89424·
 2013 04  1246.
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: 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: Number Unemployed for 5-14 Weeks, Office and Administrative Support Occupations: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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