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 Series Title: Number Unemployed for Less than 5 Weeks, Agriculture and Related Industries: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 4772.
 2000 02 061.
 2000 03 5842·
 2000 04 9753·
 2000 05 2122.
 2000 06 3357.
 2000 07 3943·
 2000 08 7481·
 2000 09 5675·
 2000 10 5959.
 2000 11 1590.
 2000 12 4472.
 2001 01  177·
 2001 02  5896.
 2001 03  98101.
 2001 04  5048.
 2001 05  3343.
 2001 06  3859.
 2001 07  2737.
 2001 08  6170·
 2001 09  5049.
 2001 10  3067.
 2001 11  6490.
 2001 12  7386.
 2002 01 7989.
 2002 02 9062·
 2002 03 98139·
 2002 04 347.
 2002 05 7023·
 2002 06 229·
 2002 07 4132·
 2002 08 9769·
 2002 09 9936.
 2002 10 7053.
 2002 11 3070.
 2002 12 2343·
 2003 01  6543·
 2003 02  2754·
 2003 03  3050.
 2003 04  7542·
 2003 05  9536.
 2003 06  2936·
 2003 07  2727·
 2003 08  73112.
 2003 09  3858.
 2003 10  5853.
 2003 11  3570.
 2003 12  6087.
 2004 01 7049.
 2004 02 2132·
 2004 03 9126.
 2004 04 643·
 2004 05 9253·
 2004 06 5052.
 2004 07 5963·
 2004 08 642.
 2004 09 2847.
 2004 10 046·
 2004 11 2768·
 2004 12 77104·
 2005 01  3070·
 2005 02  5321·
 2005 03  657·
 2005 04  6443.
 2005 05  7225·
 2005 06  1748·
 2005 07  3622.
 2005 08  3752.
 2005 09  5565·
 2005 10  2345·
 2005 11  7966·
 2005 12  9058·
 2006 01 452·
 2006 02 2735·
 2006 03 2230·
 2006 04 4138.
 2006 05 7037·
 2006 06 1115·
 2006 07 8040.
 2006 08 3533.
 2006 09 2846·
 2006 10 8253.
 2006 11 8946.
 2006 12 4188·
 2007 01  7929·
 2007 02  7136·
 2007 03  1319·
 2007 04  5318·
 2007 05  4816.
 2007 06  3623.
 2007 07  3918·
 2007 08  9036·
 2007 09  8532·
 2007 10  5724.
 2007 11  8035·
 2007 12  9744·
 2008 01 6555·
 2008 02 4128.
 2008 03 7560.
 2008 04 4233.
 2008 05 9022·
 2008 06 2036.
 2008 07 8648.
 2008 08 1951·
 2008 09 8426·
 2008 10 5143·
 2008 11 171·
 2008 12 4998.
 2009 01  9868·
 2009 02  1521.
 2009 03  3348·
 2009 04  7431·
 2009 05  726·
 2009 06  1950·
 2009 07  2057·
 2009 08  6551·
 2009 09  1247.
 2009 10  9549·
 2009 11  2466·
 2009 12  15112·
 2010 01 3885.
 2010 02 9956·
 2010 03 3461.
 2010 04 4374.
 2010 05 3633·
 2010 06 1244.
 2010 07 6259·
 2010 08 9330·
 2010 09 8046·
 2010 10 4243.
 2010 11 4790.
 2010 12 3598.
 2011 01  7139·
 2011 02  2032·
 2011 03  5137.
 2011 04  6325·
 2011 05  3541·
 2011 06  343·
 2011 07  6339.
 2011 08  9636·
 2011 09  2257.
 2011 10  7264.
 2011 11  9498·
 2011 12  7874.
 2012 01 750.


 2012 02 3435·
 2012 03 8344.
 2012 04 7838.
 2012 05 9131·
 2012 06 2144·
 2012 07 9429·
 2012 08 9149·
 2012 09 9947·
 2012 10 8950·
 2012 11 1280.
 2012 12 3588·
 2013 01  8227.
 2013 02  2034.
 2013 03  5320·
 2013 04  5420.
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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 Less than 5 Weeks, Agriculture and Related Industries: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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