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 Series Title: Employment Level: Farming, Fishing, and Forestry Occupations in Wholesale Trade Industry: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 2171·
 2000 02 2560·
 2000 03 2865·
 2000 04 671·
 2000 05 63107·
 2000 06 1109.
 2000 07 2690·
 2000 08 76107.
 2000 09 6578.
 2000 10 6851.
 2000 11 2070·
 2000 12 3767.
 2001 01  7759·
 2001 02  1067·
 2001 03  2085·
 2001 04  3585·
 2001 05  7697.
 2001 06  32106·
 2001 07  6676·
 2001 08  3981.
 2001 09  6086·
 2001 10  6673·
 2001 11  2177.
 2001 12  4378.
 2002 01 5756·
 2002 02 6963·
 2002 03 7261·
 2002 04 6666.
 2002 05 1584.
 2002 06 2371·
 2002 07 3163.
 2002 08 5181·
 2002 09 1194·
 2002 10 3376.
 2002 11 3862.
 2002 12 6954·
 2003 01  4464.
 2003 02  3270·
 2003 03  5549.
 2003 04  1434.
 2003 05  4133·
 2003 06  7723.
 2003 07  6933.
 2003 08  435.
 2003 09  5147·
 2003 10  4845.
 2003 11  9442.
 2003 12  8342·
 2004 01 5138·
 2004 02 5371.
 2004 03 6859·
 2004 04 2260.
 2004 05 4062·
 2004 06 2470.
 2004 07 5348.
 2004 08 1357.
 2004 09 4360·
 2004 10 1642.
 2004 11 3855·
 2004 12 7755·
 2005 01  1241.
 2005 02  1244·
 2005 03  3540.
 2005 04  5636·
 2005 05  2132.
 2005 06  1843·
 2005 07  8237.
 2005 08  2237.
 2005 09  7163.
 2005 10  6570.
 2005 11  4164.
 2005 12  6664·
 2006 01 8858·
 2006 02 1268.
 2006 03 253.
 2006 04 1046·
 2006 05 2153·
 2006 06 3859.
 2006 07 7734·
 2006 08 9631.
 2006 09 4747.
 2006 10 5147·
 2006 11 347·
 2006 12 9449.
 2007 01  6437·
 2007 02  8332·
 2007 03  4442.
 2007 04  9842·
 2007 05  040.
 2007 06  8945.
 2007 07  8760.
 2007 08  2753·
 2007 09  453·
 2007 10  5358·
 2007 11  4643.
 2007 12  2658.
 2008 01 5267.
 2008 02 7959.
 2008 03 5847.
 2008 04 6332.
 2008 05 4431.
 2008 06 127·
 2008 07 8627·
 2008 08 3330·
 2008 09 540.
 2008 10 7451.
 2008 11 1844·
 2008 12 5541·
 2009 01  8741·
 2009 02  8042·
 2009 03  6745·
 2009 04  7341·
 2009 05  6332.
 2009 06  2640.
 2009 07  7133.
 2009 08  5530.
 2009 09  3532.
 2009 10  4446·
 2009 11  9351·
 2009 12  9743.
 2010 01 2847.
 2010 02 9060.
 2010 03 2054·
 2010 04 1757.
 2010 05 9337·
 2010 06 4646.
 2010 07 6646.
 2010 08 6058.
 2010 09 464·
 2010 10 1852·
 2010 11 6857.
 2010 12 9557·
 2011 01  6372.
 2011 02  3867.
 2011 03  8959·
 2011 04  1572·
 2011 05  9455.
 2011 06  6334.
 2011 07  1845.
 2011 08  4024.
 2011 09  4829·
 2011 10  7436.
 2011 11  6645.
 2011 12  1447·
 2012 01 043.
 2012 02 7847·
 2012 03 7335·
 2012 04 655.
 2012 05 5162·
 2012 06 760·
 2012 07 074·
 2012 08 1141.
 2012 09 2753.
 2012 10 1745·
 2012 11 3641·
 2012 12 4732·
 2013 01  7729.
 2013 02  9031·
 2013 03  9433·
 2013 04  5932.
 2013 05  7745·
 2013 06  3351·
 2013 07  1153.
 2013 08  1553·
 2013 09  2735·
 2013 10  7738·
 2013 11  5027.
 2013 12  1119.
 2014 01 5329·
 2014 02 7942·
 2014 03 031·
 2014 04 6444.
 2014 05 551·
 2014 06 2052.
 2014 07 7347·
 2014 08 2049·
 2014 09 5839.
 2014 10 727·
 2014 11 737.
 2014 12 4742.
 2015 01  1369.
 2015 02  7260.
 2015 03  6545·
 2015 04  3946·
 2015 05  9657·
 2015 06  7249.
 2015 07  3564·
 2015 08  1653.
 2015 09  5647·
 2015 10  8746.
 2015 11  3036·
 2015 12  2249·
 2016 01 7032·
 2016 02 2630.
 2016 03 8727.
 2016 04 2545.
 2016 05 3738.
 2016 06 1838.
 2016 07 7032.
 2016 08 2134·
 2016 09 8233·
 2016 10 2225·
 2016 11 6637·
 2016 12 2833.
 2017 01  5739·
 2017 02  1858.
 2017 03  8863·
 2017 04  9056·


 2017 05  3756.
 2017 06  1362.
 2017 07  7547.
 2017 08  7629.
 2017 09  2132.
 2017 10  3947.
 2017 11  8973·
 2017 12  8257.
 2018 01 3644·
 2018 02 5341.
 2018 03 1710.
 2018 04 2438.
 2018 05 3242·
 2018 06 3633.
 2018 07 7440·
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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: Employment Level: Farming, Fishing, and Forestry Occupations in Wholesale Trade Industry: 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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