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 Series Title: Employment Level: Farming, Fishing, and Forestry Occupations in Durable Goods Manufacturing Industry: NSA
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 2000 01 6
 2000 02 872.
 2000 03 534·
 2000 04 24
 2000 05 458.
 2000 06 6513.
 2000 07 3312·
 2000 08 292.
 2000 09 142·
 2000 10 47.
 2000 11 776·
 2000 12 9610.
 2001 01  6116·
 2001 02  8516·
 2001 03  9710·
 2001 04  697·
 2001 05  631.
 2001 06  161.
 2001 07  324·
 2001 08  156.
 2001 09  204.
 2001 10  272·
 2001 11  433·
 2001 12  313·
 2002 01 585.
 2002 02 762·
 2002 03 194·
 2002 04 348.
 2002 05 2610·
 2002 06 4410·
 2002 07 743·
 2002 08 693·
 2002 09 17.
 2002 10 3816·
 2002 11 4418·
 2002 12 418·
 2003 01  8215·
 2003 02  8914·
 2003 03  9210.
 2003 04  353.
 2003 05  952.
 2003 06  557.
 2003 07  710·
 2003 08  8112·
 2003 09  918.
 2003 10  169·
 2003 11  25.
 2003 12  859.
 2004 01 4411·
 2004 02 809.
 2004 03 146.
 2004 04 166·
 2004 05 558.
 2004 06 7726.
 2004 07 628.
 2004 08 6921·
 2004 09 5018.
 2004 10 66
 2004 11 666·
 2004 12 639.
 2005 01  7914.
 2005 02  2619·
 2005 03  716·
 2005 04  4227·
 2005 05  1722.
 2005 06  6615.
 2005 07  6714·
 2005 08  7521·
 2005 09  6519.
 2005 10  1615.
 2005 11  99.
 2005 12  564.
 2006 01 475.
 2006 02 337·
 2006 03 217·
 2006 04 54.
 2006 05 165·
 2006 06 996.
 2006 07 159.
 2006 08 655·
 2006 09 459·
 2006 10 21
 2006 11 298·
 2006 12 69·
 2007 01  365.
 2007 02  301·
 2007 03  274·
 2007 04  2210·
 2007 05  1324.
 2007 06  8223.
 2007 07  9620·
 2007 08  3113.
 2007 09  27
 2007 10  6013.
 2007 11  4911·
 2007 12  794.
 2008 01 530·
 2008 02 704.
 2008 03 249·
 2008 04 3411·
 2008 05 938.
 2008 06 446·
 2008 07 8410·
 2008 08 918·
 2008 09 70
 2008 10 389.
 2008 11 1710.
 2008 12 688·
 2009 01  376.
 2009 02  34
 2009 03  36
 2009 04  10
 2009 05  677.
 2009 06  394.
 2009 07  784.
 2009 08  850.
 2009 09  620.
 2009 10  840.
 2009 11  617.
 2009 12  896.
 2010 01 469·
 2010 02 26
 2010 03 94·
 2010 04 3913.
 2010 05 71
 2010 06 461.
 2010 07 994.
 2010 08 813·
 2010 09 114·
 2010 10 525.
 2010 11 153.
 2010 12 844·
 2011 01  673.
 2011 02  742.
 2011 03  189.
 2011 04  4013·
 2011 05  6410.
 2011 06  706.
 2011 07  973.
 2011 08  71
 2011 09  53
 2011 10  214.
 2011 11  655.
 2011 12  195·
 2012 01 102·
 2012 02 342.
 2012 03 605.
 2012 04 540.
 2012 05 337·
 2012 06 40
 2012 07 447.
 2012 08 7010.
 2012 09 507.
 2012 10 966·
 2012 11 67.
 2012 12 8716·
 2013 01  108.
 2013 02  8413·
 2013 03  587.
 2013 04  486·
 2013 05  89
 2013 06  109·
 2013 07  386.
 2013 08  2213·
 2013 09  866.
 2013 10  62.
 2013 11  1014·
 2013 12  46·
 2014 01 2910·
 2014 02 2914·
 2014 03 603·
 2014 04 1310.
 2014 05 666.
 2014 06 609.
 2014 07 39·
 2014 08 9312·
 2014 09 7310·
 2014 10 66·
 2014 11 756.
 2014 12 132·
 2015 01  514.
 2015 02  988.
 2015 03  40
 2015 04  671.
 2015 05  250.
 2015 06  930·
 2015 07  853.
 2015 08  744.
 2015 09  4510.
 2015 10  743·
 2015 11  2410·
 2015 12  797·
 2016 01 8711.
 2016 02 457·
 2016 03 954.
 2016 04 500.
 2016 05 52
 2016 06 40
 2016 07 595·
 2016 08 835.
 2016 09 645.
 2016 10 156·
 2016 11 611·
 2016 12 958·
 2017 01  74
 2017 02  518.
 2017 03  4811.
 2017 04  317.
 2017 05  573.
 2017 06  54


 2017 07  235·
 2017 08  605.
 2017 09  145·
 2017 10  582.
 2017 11  940.
 2017 12  774·
 2018 01 705.
 2018 02 181.
 2018 03 484.
 2018 04 09·
 2018 05 762.
 2018 06 166.
 2018 07 996·
 2018 08 745·
 2018 09 79.
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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 Durable Goods Manufacturing 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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