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 Series Title: Employment Level: Farming, Fishing, and Forestry Occupations in Retail 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 5920·
 2000 02 7928.
 2000 03 3725·
 2000 04 3026·
 2000 05 7920·
 2000 06 618·
 2000 07 3618.
 2000 08 2321·
 2000 09 429.
 2000 10 7025·
 2000 11 7316·
 2000 12 5212.
 2001 01  824.
 2001 02  5013.
 2001 03  6220·
 2001 04  6222·
 2001 05  9028·
 2001 06  569·
 2001 07  3918·
 2001 08  2114·
 2001 09  2820.
 2001 10  1719.
 2001 11  6917·
 2001 12  236.
 2002 01 216·
 2002 02 909.
 2002 03 3923.
 2002 04 8829·
 2002 05 2128.
 2002 06 5828.
 2002 07 6119·
 2002 08 6021·
 2002 09 120·
 2002 10 2616.
 2002 11 7512.
 2002 12 810.
 2003 01  6311.
 2003 02  2713.
 2003 03  4224·
 2003 04  2633.
 2003 05  3244.
 2003 06  1747·
 2003 07  5048.
 2003 08  3430·
 2003 09  5816.
 2003 10  7817·
 2003 11  1319.
 2003 12  7514·
 2004 01 1711·
 2004 02 1711·
 2004 03 6915·
 2004 04 1828.
 2004 05 1026.
 2004 06 6430.
 2004 07 7918.
 2004 08 5818·
 2004 09 6021·
 2004 10 7718.
 2004 11 3318.
 2004 12 1412·
 2005 01  205·
 2005 02  3713.
 2005 03  4215.
 2005 04  3012·
 2005 05  6421·
 2005 06  5117.
 2005 07  4610.
 2005 08  7516.
 2005 09  937.
 2005 10  515·
 2005 11  67.
 2005 12  448·
 2006 01 315.
 2006 02 9213·
 2006 03 1119.
 2006 04 5511·
 2006 05 3015·
 2006 06 5818·
 2006 07 7315·
 2006 08 5220·
 2006 09 669·
 2006 10 547·
 2006 11 3115·
 2006 12 519.
 2007 01  3711.
 2007 02  138.
 2007 03  4711.
 2007 04  87.
 2007 05  7021.
 2007 06  9023.
 2007 07  925.
 2007 08  8010.
 2007 09  1514.
 2007 10  6813·
 2007 11  317.
 2007 12  6512·
 2008 01 474.
 2008 02 524.
 2008 03 496.
 2008 04 3211·
 2008 05 6819.
 2008 06 7611.
 2008 07 28
 2008 08 768·
 2008 09 121.
 2008 10 9419.
 2008 11 5419.
 2008 12 1521.
 2009 01  986.
 2009 02  90
 2009 03  4111.
 2009 04  948.
 2009 05  3411.
 2009 06  6914·
 2009 07  2615·
 2009 08  8116·
 2009 09  1025·
 2009 10  6427·
 2009 11  735.
 2009 12  7210.
 2010 01 50
 2010 02 3015.
 2010 03 6911.
 2010 04 859.
 2010 05 623.
 2010 06 5030·
 2010 07 2825·
 2010 08 6422·
 2010 09 529.
 2010 10 317·
 2010 11 871·
 2010 12 7810.
 2011 01  8817.
 2011 02  38·
 2011 03  86.
 2011 04  2210.
 2011 05  4218·
 2011 06  2322·
 2011 07  8115.
 2011 08  1416·
 2011 09  629.
 2011 10  741·
 2011 11  171.
 2011 12  07.
 2012 01 242.
 2012 02 6111.
 2012 03 552.
 2012 04 4711.
 2012 05 2813.
 2012 06 178·
 2012 07 5813·
 2012 08 5012.
 2012 09 113.
 2012 10 9813.
 2012 11 137.
 2012 12 298.
 2013 01  9213·
 2013 02  8526.
 2013 03  3312.
 2013 04  2716.
 2013 05  7615·
 2013 06  8612·
 2013 07  5712.
 2013 08  13
 2013 09  55
 2013 10  3212.
 2013 11  4719.
 2013 12  8315·
 2014 01 5317.
 2014 02 7916·
 2014 03 916·
 2014 04 546.
 2014 05 215.
 2014 06 103·
 2014 07 16·
 2014 08 70
 2014 09 3421.
 2014 10 3020·
 2014 11 1721.
 2014 12 210·
 2015 01  9318·
 2015 02  7212.
 2015 03  07.
 2015 04  4314.
 2015 05  238.
 2015 06  9213.
 2015 07  3915.
 2015 08  1311.
 2015 09  7411.
 2015 10  729.
 2015 11  4711.
 2015 12  559.
 2016 01 2210.
 2016 02 1812.
 2016 03 608.
 2016 04 3827·
 2016 05 6710.
 2016 06 6311·
 2016 07 436.
 2016 08 582.
 2016 09 357·
 2016 10 626.
 2016 11 8411·
 2016 12 32
 2017 01  7610.
 2017 02  9713.
 2017 03  9415.
 2017 04  5
 2017 05  6517.
 2017 06  7622.


 2017 07  1213.
 2017 08  479·
 2017 09  3
 2017 10  290·
 2017 11  1
 2017 12  516.
 2018 01 15
 2018 02 138·
 2018 03 495.
 2018 04 369.
 2018 05 5215.
 2018 06 1122·
 2018 07 6818·
 2018 08 4719.
 2018 09 8813.
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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 Retail 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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