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 Series Title: Employment Level: Farming, Fishing, and Forestry Occupations in Retail Trade Industry: NSA
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 2000 01 1620.
 2000 02 9628.
 2000 03 5925.
 2000 04 026.
 2000 05 4120.
 2000 06 318.
 2000 07 1318.
 2000 08 2321.
 2000 09 7029·
 2000 10 4625.
 2000 11 416.
 2000 12 8212·
 2001 01  534.
 2001 02  713·
 2001 03  4820·
 2001 04  2122·
 2001 05  6628·
 2001 06  929.
 2001 07  8018.
 2001 08  914.
 2001 09  820·
 2001 10  3319·
 2001 11  6417·
 2001 12  41
 2002 01 76·
 2002 02 869.
 2002 03 8923·
 2002 04 3629.
 2002 05 1128·
 2002 06 3328.
 2002 07 6619·
 2002 08 3821·
 2002 09 9620.
 2002 10 8116.
 2002 11 3412·
 2002 12 1610.
 2003 01  6211·
 2003 02  6213·
 2003 03  5624.
 2003 04  6333·
 2003 05  3644.
 2003 06  3247·
 2003 07  1948·
 2003 08  130.
 2003 09  6716·
 2003 10  7217·
 2003 11  3719.
 2003 12  7114·
 2004 01 3111.
 2004 02 9011·
 2004 03 4715.
 2004 04 4428·
 2004 05 2826.
 2004 06 1730·
 2004 07 1218.
 2004 08 1418.
 2004 09 8321.
 2004 10 1018·
 2004 11 2018·
 2004 12 012.
 2005 01  475·
 2005 02  5013.
 2005 03  8415.
 2005 04  4512·
 2005 05  9621·
 2005 06  4317·
 2005 07  4210.
 2005 08  2016.
 2005 09  29
 2005 10  235·
 2005 11  577.
 2005 12  188.
 2006 01 735.
 2006 02 4413·
 2006 03 1719·
 2006 04 5911.
 2006 05 7715.
 2006 06 9018.
 2006 07 3415.
 2006 08 8620.
 2006 09 169·
 2006 10 667.
 2006 11 4615.
 2006 12 6919.
 2007 01  9211.
 2007 02  48.
 2007 03  1711·
 2007 04  17.
 2007 05  3021.
 2007 06  6123.
 2007 07  3425·
 2007 08  310·
 2007 09  8014.
 2007 10  1813·
 2007 11  117·
 2007 12  1712·
 2008 01 174.
 2008 02 82
 2008 03 846.
 2008 04 1411·
 2008 05 4219.
 2008 06 8511·
 2008 07 178.
 2008 08 888.
 2008 09 8021.
 2008 10 8419.
 2008 11 9819·
 2008 12 5721·
 2009 01  826·
 2009 02  599.
 2009 03  3911·
 2009 04  658·
 2009 05  2311.
 2009 06  1814.
 2009 07  7915·
 2009 08  8216·
 2009 09  325·
 2009 10  9227·
 2009 11  81
 2009 12  310.
 2010 01 489·
 2010 02 3915.
 2010 03 3211.
 2010 04 459·
 2010 05 823.
 2010 06 3830.
 2010 07 4525.
 2010 08 5422.
 2010 09 599.
 2010 10 987.
 2010 11 581·
 2010 12 9810·
 2011 01  017.
 2011 02  508·
 2011 03  356·
 2011 04  7110.
 2011 05  5818·
 2011 06  5022·
 2011 07  6215.
 2011 08  9416·
 2011 09  839.
 2011 10  801.
 2011 11  531·
 2011 12  97.
 2012 01 502.
 2012 02 4711.
 2012 03 462.
 2012 04 8611.
 2012 05 5913.
 2012 06 838·
 2012 07 313.
 2012 08 1912.
 2012 09 3613.
 2012 10 4313.
 2012 11 137.
 2012 12 278.
 2013 01  3213.
 2013 02  1126·
 2013 03  8812·
 2013 04  5516·
 2013 05  2115·
 2013 06  9112·
 2013 07  6612.
 2013 08  716.
 2013 09  4
 2013 10  1612.
 2013 11  1119·
 2013 12  7015.
 2014 01 717·
 2014 02 4316.
 2014 03 96·
 2014 04 70
 2014 05 805·
 2014 06 543.
 2014 07 756.
 2014 08 175.
 2014 09 9721·
 2014 10 5420.
 2014 11 4521.
 2014 12 7810·
 2015 01  6118.
 2015 02  7512.
 2015 03  837.
 2015 04  4914.
 2015 05  958·
 2015 06  7513·
 2015 07  7715.
 2015 08  4811·
 2015 09  5111·
 2015 10  359·
 2015 11  3911.
 2015 12  20
 2016 01 410·
 2016 02 6112.
 2016 03 7
 2016 04 3327·
 2016 05 5410.
 2016 06 8511·
 2016 07 456.
 2016 08 822.
 2016 09 267.
 2016 10 646·
 2016 11 4011·
 2016 12 868·
 2017 01  7210·
 2017 02  7913.
 2017 03  515.
 2017 04  89
 2017 05  6617.
 2017 06  3722.
 2017 07  7813.
 2017 08  619.


 2017 09  83.
 2017 10  700·
 2017 11  216·
 2017 12  946·
 2018 01 258.
 2018 02 348.
 2018 03 245·
 2018 04 99.
 2018 05 6615·
 2018 06 1122·
 2018 07 9818·
 2018 08 5019·
 2018 09 813·
 2018 10 710·
 2018 11 8114·
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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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