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 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
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 2000 01 66·
 2000 02 742.
 2000 03 184.
 2000 04 669·
 2000 05 718.
 2000 06 8513·
 2000 07 6412.
 2000 08 962.
 2000 09 452.
 2000 10 37
 2000 11 556·
 2000 12 6710·
 2001 01  8116·
 2001 02  1416.
 2001 03  410·
 2001 04  26
 2001 05  521.
 2001 06  211·
 2001 07  474.
 2001 08  406·
 2001 09  594·
 2001 10  912.
 2001 11  493.
 2001 12  43·
 2002 01 285·
 2002 02 792.
 2002 03 98
 2002 04 36
 2002 05 910.
 2002 06 6710·
 2002 07 53.
 2002 08 823.
 2002 09 777·
 2002 10 6316·
 2002 11 1018·
 2002 12 1118·
 2003 01  3315.
 2003 02  9714·
 2003 03  7410.
 2003 04  153·
 2003 05  32·
 2003 06  277.
 2003 07  8610·
 2003 08  1512.
 2003 09  368.
 2003 10  339·
 2003 11  595·
 2003 12  559·
 2004 01 811.
 2004 02 249.
 2004 03 306.
 2004 04 46·
 2004 05 198·
 2004 06 2926.
 2004 07 6328·
 2004 08 5521·
 2004 09 9518·
 2004 10 75.
 2004 11 456·
 2004 12 299.
 2005 01  8714·
 2005 02  3819·
 2005 03  9016.
 2005 04  6927.
 2005 05  6922.
 2005 06  2915.
 2005 07  3414.
 2005 08  4421.
 2005 09  4219·
 2005 10  1215·
 2005 11  429.
 2005 12  494.
 2006 01 315·
 2006 02 437.
 2006 03 07.
 2006 04 24·
 2006 05 875·
 2006 06 56.
 2006 07 239.
 2006 08 495.
 2006 09 85
 2006 10 38·
 2006 11 478.
 2006 12 57
 2007 01  255·
 2007 02  70
 2007 03  354·
 2007 04  2110.
 2007 05  3424.
 2007 06  6123·
 2007 07  7620.
 2007 08  6113.
 2007 09  617.
 2007 10  6013.
 2007 11  8211·
 2007 12  204.
 2008 01 810.
 2008 02 724·
 2008 03 929.
 2008 04 6711.
 2008 05 968·
 2008 06 286.
 2008 07 6810·
 2008 08 978.
 2008 09 304.
 2008 10 869.
 2008 11 9810·
 2008 12 298·
 2009 01  346·
 2009 02  288·
 2009 03  943.
 2009 04  74·
 2009 05  837·
 2009 06  594.
 2009 07  964·
 2009 08  00·
 2009 09  770·
 2009 10  120·
 2009 11  6517·
 2009 12  26.
 2010 01 43
 2010 02 439·
 2010 03 90
 2010 04 3213·
 2010 05 306.
 2010 06 341.
 2010 07 834.
 2010 08 353·
 2010 09 144·
 2010 10 915.
 2010 11 833·
 2010 12 804.
 2011 01  953·
 2011 02  47
 2011 03  529·
 2011 04  6013.
 2011 05  9910.
 2011 06  576.
 2011 07  783.
 2011 08  953.
 2011 09  760.
 2011 10  34.
 2011 11  745·
 2011 12  295.
 2012 01 12.


 2012 02 93
 2012 03 795.
 2012 04 320·
 2012 05 757.
 2012 06 577·
 2012 07 537·
 2012 08 9710.
 2012 09 237·
 2012 10 526·
 2012 11 877.
 2012 12 4316.
 2013 01  958·
 2013 02  6013.
 2013 03  927.
 2013 04  156.
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: 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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