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 Series Title: Employment Level: Farming, Fishing, and Forestry Occupations in Wholesale Trade Industry: NSA
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 2000 01 3571.
 2000 02 5760.
 2000 03 3865·
 2000 04 6271.
 2000 05 38107.
 2000 06 76109.
 2000 07 8890.
 2000 08 16107.
 2000 09 8378.
 2000 10 6951·
 2000 11 1470·
 2000 12 4367·
 2001 01  1959·
 2001 02  1767.
 2001 03  2985·
 2001 04  8885.
 2001 05  2297.
 2001 06  26106·
 2001 07  7076·
 2001 08  2081.
 2001 09  9386.
 2001 10  2973.
 2001 11  277·
 2001 12  3478.
 2002 01 5656·
 2002 02 8363.
 2002 03 1061.
 2002 04 4766·
 2002 05 6384·
 2002 06 6771.
 2002 07 963.
 2002 08 581.
 2002 09 8894·
 2002 10 9076.
 2002 11 3662.
 2002 12 7654·
 2003 01  3364.
 2003 02  8370·
 2003 03  5549.
 2003 04  5534.
 2003 05  2233.
 2003 06  323·
 2003 07  5233.
 2003 08  6035·
 2003 09  647.
 2003 10  3145·
 2003 11  4142.
 2003 12  3742·
 2004 01 6038.
 2004 02 7371·
 2004 03 6059.
 2004 04 5460.
 2004 05 8562·
 2004 06 6370.
 2004 07 7248·
 2004 08 557·
 2004 09 660.
 2004 10 5542·
 2004 11 6555.
 2004 12 955.
 2005 01  7341.
 2005 02  3244·
 2005 03  5140·
 2005 04  1136.
 2005 05  6232.
 2005 06  143.
 2005 07  6837·
 2005 08  7937·
 2005 09  7363.
 2005 10  9270.
 2005 11  7964.
 2005 12  864.
 2006 01 3258·
 2006 02 6468·
 2006 03 7353.
 2006 04 1746.
 2006 05 8953.
 2006 06 9659.
 2006 07 6234.
 2006 08 5031.
 2006 09 1947.
 2006 10 9747·
 2006 11 8447.
 2006 12 7749.
 2007 01  2337·
 2007 02  9832.
 2007 03  142.
 2007 04  9042.
 2007 05  2640.
 2007 06  5445·
 2007 07  360.
 2007 08  1053·
 2007 09  7953.
 2007 10  4958.
 2007 11  043.
 2007 12  8158·
 2008 01 5767·
 2008 02 8859.
 2008 03 3347·
 2008 04 7132·
 2008 05 5931·
 2008 06 327.
 2008 07 6327.
 2008 08 7630·
 2008 09 1340.
 2008 10 5251·
 2008 11 7844.
 2008 12 1341·
 2009 01  6841.
 2009 02  1442.
 2009 03  9145·
 2009 04  2841.
 2009 05  9932.
 2009 06  9840·
 2009 07  4033·
 2009 08  8930.
 2009 09  732·
 2009 10  3546·
 2009 11  8851.
 2009 12  9043.
 2010 01 1847·
 2010 02 8160·
 2010 03 2454·
 2010 04 5157.
 2010 05 8137.
 2010 06 1846·
 2010 07 5846·
 2010 08 1658·
 2010 09 7264.
 2010 10 5252·
 2010 11 3157·
 2010 12 5357·
 2011 01  9172·
 2011 02  1667·
 2011 03  459·
 2011 04  5872·
 2011 05  6555·
 2011 06  6634.
 2011 07  6545·
 2011 08  4924.
 2011 09  4229.
 2011 10  8436.
 2011 11  2845·
 2011 12  7047.
 2012 01 043·
 2012 02 7647.
 2012 03 3035.
 2012 04 9155·
 2012 05 3762·
 2012 06 7460·
 2012 07 3474·
 2012 08 541.
 2012 09 7953·
 2012 10 3445·
 2012 11 2841·
 2012 12 3132·
 2013 01  7829·
 2013 02  3831·
 2013 03  2533.
 2013 04  1532·
 2013 05  745.
 2013 06  9451·
 2013 07  6253.
 2013 08  2553·
 2013 09  6935·
 2013 10  3138·
 2013 11  327·
 2013 12  5519·
 2014 01 8729·
 2014 02 842·
 2014 03 3631·
 2014 04 2444·
 2014 05 1251.
 2014 06 652·
 2014 07 7347·
 2014 08 7749·
 2014 09 2139·
 2014 10 3127.
 2014 11 5337.
 2014 12 8242·
 2015 01  1269.
 2015 02  1460·
 2015 03  3745·
 2015 04  3446.
 2015 05  1257·
 2015 06  1449·
 2015 07  1564·
 2015 08  5153.
 2015 09  7147·
 2015 10  1146·
 2015 11  9936·
 2015 12  7949·
 2016 01 6432·
 2016 02 1230.
 2016 03 2727·
 2016 04 8645·
 2016 05 9238·
 2016 06 4838·
 2016 07 6132.
 2016 08 6634.
 2016 09 8033.
 2016 10 7725·
 2016 11 9037·
 2016 12 3833.
 2017 01  7839.
 2017 02  7958·
 2017 03  2763.
 2017 04  4856.
 2017 05  6356.
 2017 06  6262.
 2017 07  947.
 2017 08  6229.


 2017 09  3332·
 2017 10  5747.
 2017 11  9973.
 2017 12  7757.
 2018 01 1544·
 2018 02 2141.
 2018 03 8610.
 2018 04 1138·
 2018 05 6042.
 2018 06 3633.
 2018 07 8140·
 2018 08 727.
 2018 09 4125·
 2018 10 730.
 2018 11 2427·
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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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