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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 3320.
 2000 02 2828·
 2000 03 4925·
 2000 04 5626.
 2000 05 3220.
 2000 06 6218.
 2000 07 3318.
 2000 08 6321.
 2000 09 4829·
 2000 10 4525.
 2000 11 6816.
 2000 12 1812·
 2001 01  314.
 2001 02  5813·
 2001 03  6720·
 2001 04  6622·
 2001 05  5528·
 2001 06  89·
 2001 07  6818·
 2001 08  7514·
 2001 09  2220·
 2001 10  2619.
 2001 11  3317.
 2001 12  416·
 2002 01 576·
 2002 02 709.
 2002 03 5023·
 2002 04 8229.
 2002 05 1128.
 2002 06 2028.
 2002 07 3319.
 2002 08 4321.
 2002 09 5820·
 2002 10 8316·
 2002 11 2012.
 2002 12 9210·
 2003 01  9911·
 2003 02  9113.
 2003 03  7224.
 2003 04  2333·
 2003 05  5944.
 2003 06  147·
 2003 07  7848·
 2003 08  5730·
 2003 09  9016.
 2003 10  9417.
 2003 11  5219.
 2003 12  3614.
 2004 01 6611.
 2004 02 7711·
 2004 03 3015.
 2004 04 3128·
 2004 05 8726·
 2004 06 8130.
 2004 07 7518·
 2004 08 3418.
 2004 09 7921.
 2004 10 6418·
 2004 11 7718·
 2004 12 6612.
 2005 01  93
 2005 02  613.
 2005 03  4715·
 2005 04  7112.
 2005 05  321·
 2005 06  1517.
 2005 07  2310·
 2005 08  1716.
 2005 09  117.
 2005 10  225.
 2005 11  697.
 2005 12  998.
 2006 01 415.
 2006 02 8413.
 2006 03 7119·
 2006 04 3511·
 2006 05 4515.
 2006 06 8218.
 2006 07 4415.
 2006 08 7120·
 2006 09 969·
 2006 10 237·
 2006 11 2515·
 2006 12 7519.
 2007 01  9711.
 2007 02  388.
 2007 03  7611.
 2007 04  427·
 2007 05  7121.
 2007 06  8523·
 2007 07  8725·
 2007 08  8910.
 2007 09  7114·
 2007 10  4513.
 2007 11  687.
 2007 12  6312.
 2008 01 704·
 2008 02 244·
 2008 03 606·
 2008 04 3111·
 2008 05 6919·
 2008 06 5511·
 2008 07 248.
 2008 08 888·
 2008 09 9421.
 2008 10 9319·
 2008 11 4819·
 2008 12 5321·
 2009 01  95
 2009 02  21
 2009 03  4511·
 2009 04  718·
 2009 05  4811·
 2009 06  4514·
 2009 07  5315.
 2009 08  916.
 2009 09  5325.
 2009 10  9727·
 2009 11  355.
 2009 12  6410·
 2010 01 359.
 2010 02 3315.
 2010 03 7911.
 2010 04 529.
 2010 05 4423.
 2010 06 3630·
 2010 07 9825·
 2010 08 2022.
 2010 09 579.
 2010 10 117.
 2010 11 301.
 2010 12 3510.
 2011 01  7317·
 2011 02  90
 2011 03  376·
 2011 04  9210·
 2011 05  1818·
 2011 06  3022.
 2011 07  715.
 2011 08  1116.
 2011 09  429.
 2011 10  131·
 2011 11  541·
 2011 12  357.
 2012 01 202.
 2012 02 4511·
 2012 03 152·
 2012 04 3311·
 2012 05 5413.
 2012 06 588.
 2012 07 5313·
 2012 08 012.
 2012 09 6813.
 2012 10 913·
 2012 11 557·
 2012 12 548.
 2013 01  1313·
 2013 02  7826.
 2013 03  3612.
 2013 04  4116·
 2013 05  6415.
 2013 06  7412·
 2013 07  3312·
 2013 08  286·
 2013 09  224.
 2013 10  2712·
 2013 11  819·
 2013 12  1115·
 2014 01 1217.
 2014 02 9416.
 2014 03 50
 2014 04 86.
 2014 05 84
 2014 06 573.
 2014 07 716.
 2014 08 635.
 2014 09 1321.
 2014 10 2220.
 2014 11 921·
 2014 12 4610·
 2015 01  118·
 2015 02  2112·
 2015 03  287.
 2015 04  5114·
 2015 05  738.
 2015 06  1113.
 2015 07  1515.
 2015 08  9611·
 2015 09  7811·
 2015 10  73
 2015 11  8211·
 2015 12  279.
 2016 01 9310·
 2016 02 1412·
 2016 03 698.
 2016 04 1127.
 2016 05 1710·
 2016 06 6511.
 2016 07 386.
 2016 08 442.
 2016 09 777.
 2016 10 846.
 2016 11 7611·
 2016 12 448.
 2017 01  2110·
 2017 02  5213.
 2017 03  9615.
 2017 04  567.


 2017 05  2717·
 2017 06  7522.
 2017 07  3713·
 2017 08  499.
 2017 09  943.
 2017 10  860·
 2017 11  626·
 2017 12  166.
 2018 01 488.
 2018 02 408·
 2018 03 575.
 2018 04 779·
 2018 05 3915.
 2018 06 1922·
 2018 07 3718.
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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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