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 Series Title: Employment Level: Farming, Fishing, and Forestry Occupations in Retail Trade Industry: NSA
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 2000 01 7220·
 2000 02 8628.
 2000 03 6725·
 2000 04 5726·
 2000 05 1920.
 2000 06 2018·
 2000 07 2818.
 2000 08 4121.
 2000 09 3929·
 2000 10 5925·
 2000 11 9516.
 2000 12 3012.
 2001 01  824.
 2001 02  8413·
 2001 03  8320.
 2001 04  6922.
 2001 05  2428.
 2001 06  29·
 2001 07  2818·
 2001 08  2514·
 2001 09  6420.
 2001 10  4519·
 2001 11  9517·
 2001 12  946.
 2002 01 29
 2002 02 709·
 2002 03 7023·
 2002 04 9429.
 2002 05 6828.
 2002 06 5728·
 2002 07 6719·
 2002 08 7021.
 2002 09 5720·
 2002 10 1416.
 2002 11 2312·
 2002 12 9010.
 2003 01  9611.
 2003 02  7113·
 2003 03  124.
 2003 04  5033.
 2003 05  1144.
 2003 06  8747·
 2003 07  9048.
 2003 08  6730·
 2003 09  5216·
 2003 10  4217.
 2003 11  219·
 2003 12  8714·
 2004 01 9411·
 2004 02 4411·
 2004 03 7615.
 2004 04 7828·
 2004 05 3926.
 2004 06 2330·
 2004 07 7318.
 2004 08 3418.
 2004 09 1121·
 2004 10 3718.
 2004 11 8218.
 2004 12 7512.
 2005 01  60
 2005 02  6613.
 2005 03  1515.
 2005 04  4512.
 2005 05  6221.
 2005 06  1817.
 2005 07  1110·
 2005 08  1316·
 2005 09  187·
 2005 10  255.
 2005 11  33
 2005 12  728.
 2006 01 535·
 2006 02 4313.
 2006 03 6919·
 2006 04 4311.
 2006 05 1715.
 2006 06 5318·
 2006 07 3015·
 2006 08 6920.
 2006 09 859.
 2006 10 627·
 2006 11 5615·
 2006 12 2019.
 2007 01  5911.
 2007 02  38·
 2007 03  911·
 2007 04  897·
 2007 05  6321·
 2007 06  3023·
 2007 07  7625.
 2007 08  9610.
 2007 09  4814.
 2007 10  2713·
 2007 11  727·
 2007 12  8512·
 2008 01 894.
 2008 02 04·
 2008 03 336.
 2008 04 2511.
 2008 05 8619·
 2008 06 8111·
 2008 07 238.
 2008 08 108.
 2008 09 6621.
 2008 10 2519.
 2008 11 3019·
 2008 12 5921·
 2009 01  786.
 2009 02  159·
 2009 03  6611.
 2009 04  178.
 2009 05  9711.
 2009 06  5814.
 2009 07  6915.
 2009 08  5216.
 2009 09  2525·
 2009 10  8427·
 2009 11  35·
 2009 12  5910.
 2010 01 869·
 2010 02 5115.
 2010 03 5411.
 2010 04 579·
 2010 05 3123.
 2010 06 4130.
 2010 07 3725.
 2010 08 8922.
 2010 09 369·
 2010 10 597·
 2010 11 881·
 2010 12 2610·
 2011 01  017.
 2011 02  388.
 2011 03  726.
 2011 04  6210·
 2011 05  4918.
 2011 06  3422.
 2011 07  7515·
 2011 08  1416.
 2011 09  349·
 2011 10  291.
 2011 11  101.
 2011 12  287.
 2012 01 302.
 2012 02 3011.
 2012 03 162.
 2012 04 7311·
 2012 05 3713.
 2012 06 68
 2012 07 5513.
 2012 08 4312·
 2012 09 8013·
 2012 10 9913.
 2012 11 167·
 2012 12 578.
 2013 01  1113.
 2013 02  626·
 2013 03  1012·
 2013 04  5816.
 2013 05  415·
 2013 06  9512·
 2013 07  7712·
 2013 08  176.
 2013 09  604.
 2013 10  9812.
 2013 11  7819.
 2013 12  2815.
 2014 01 417.
 2014 02 7116.
 2014 03 26·
 2014 04 96.
 2014 05 865.
 2014 06 963·
 2014 07 626.
 2014 08 45.
 2014 09 8321.
 2014 10 7920.
 2014 11 9621·
 2014 12 8410·
 2015 01  9418·
 2015 02  5312·
 2015 03  667.
 2015 04  4114·
 2015 05  458·
 2015 06  7413·
 2015 07  6015.
 2015 08  9611·
 2015 09  8611.
 2015 10  23
 2015 11  9211·
 2015 12  929.
 2016 01 9210·
 2016 02 812·
 2016 03 988·
 2016 04 9827·
 2016 05 6510·
 2016 06 5911.
 2016 07 436·
 2016 08 82.
 2016 09 297.
 2016 10 346.
 2016 11 1311.
 2016 12 438·
 2017 01  3410·
 2017 02  1413·
 2017 03  2315·
 2017 04  457·
 2017 05  5717.
 2017 06  522.
 2017 07  913.
 2017 08  849·
 2017 09  973.
 2017 10  400·
 2017 11  356.


 2017 12  546.
 2018 01 808.
 2018 02 758·
 2018 03 885.
 2018 04 75
 2018 05 5615.
 2018 06 9222·
 2018 07 8118.
 2018 08 8919·
 2018 09 213·
 2018 10 9710·
 2018 11 5314.
 2018 12 6812.
 2019 01  168.
 2019 02  2211·
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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

Want to know how State economies fared during the Clinton Administration? Use the Reporter.

Sites of Interest: Conerly Consulting: Economics for Business Decisions *

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