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 Series Title: Employment Level -Farming, Fishing, and Forestry Occupations in Agriculture and Related Industries: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 41731·
 2012 03 19721·
 2012 02 32708.
 2012 01 99697·
 2011 12  68765·
 2011 11  84840.
 2011 10  0872·
 2011 09  92889.
 2011 08  241051·
 2011 07  11998·
 2011 06  31925·
 2011 05  47861·
 2011 04  59685·
 2011 03  79714.
 2011 02  39716.
 2011 01  7716·
 2010 12 48751·
 2010 11 97795.
 2010 10 60925·
 2010 09 41879·
 2010 08 93917.
 2010 07 96964.
 2010 06 59874·
 2010 05 44843·
 2010 04 18756·
 2010 03 33685·
 2010 02 23704.
 2010 01 34657.
 2009 12  74733·
 2009 11  88771.
 2009 10  65761·
 2009 09  57779.
 2009 08  36852.
 2009 07  70910·
 2009 06  22912·
 2009 05  80860·
 2009 04  5770.
 2009 03  9654·
 2009 02  58682.
 2009 01  99668.
 2008 12 5725.
 2008 11 62730.
 2008 10 61805·
 2008 09 31896.
 2008 08 88939.
 2008 07 10973.
 2008 06 43953·
 2008 05 23873.
 2008 04 29816.
 2008 03 62819.
 2008 02 43768·
 2008 01 41732·
 2007 12  28762.
 2007 11  47769·
 2007 10  22767.
 2007 09  82794.
 2007 08  10732·
 2007 07  22868.
 2007 06  70857·
 2007 05  63815·
 2007 04  26776·
 2007 03  70751.
 2007 02  99771·
 2007 01  30752.
 2006 12 52726.
 2006 11 97750·
 2006 10 46797.
 2006 09 50774·
 2006 08 87885·
 2006 07 35978.
 2006 06 75926·
 2006 05 19830.
 2006 04 57836.
 2006 03 40702·
 2006 02 74698.
 2006 01 55681·
 2005 12  13659.
 2005 11  93751·
 2005 10  56819·
 2005 09  3843·
 2005 08  30943.
 2005 07  31032·
 2005 06  58956.
 2005 05  31765.
 2005 04  8758.
 2005 03  99706.
 2005 02  43661.
 2005 01  35651·
 2004 12 73675.
 2004 11 39794.
 2004 10 0824·
 2004 09 32896.
 2004 08 74970·
 2004 07 4880.
 2004 06 41889·
 2004 05 67810·
 2004 04 88781·
 2004 03 2685·
 2004 02 3683.
 2004 01 10732·
 2003 12  15756·
 2003 11  63899·
 2003 10  511082.
 2003 09  541103.
 2003 08  801038·
 2003 07  45925.
 2003 06  71905.
 2003 05  19785.
 2003 04  34746.
 2003 03  28772.
 2003 02  77676.
 2003 01  48718·
 2002 12 52730.
 2002 11 21720.
 2002 10 7963.
 2002 09 11907.
 2002 08 34824.
 2002 07 531004.
 2002 06 23915·
 2002 05 2855.
 2002 04 6907.
 2002 03 82752·
 2002 02 13718.
 2002 01 40746.
 2001 12  18697·
 2001 11  90770·
 2001 10  91904.
 2001 09  69955.
 2001 08  46987.
 2001 07  83938·
 2001 06  93951·
 2001 05  591010·
 2001 04  89904·
 2001 03  93766.
 2001 02  84619.
 2001 01  3723·
 2000 12 74762.
 2000 11 77798·
 2000 10 51930.
 2000 09 211031.
 2000 08 511118·
 2000 07 151123·
 2000 06 61121·
 2000 05 571031·
 2000 04 95980.
 2000 03 16909.
 2000 02 88937·
 2000 01 80907·
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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 Agriculture and Related Industries: 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

Make charts for Okun's Law and Phillip's Curve

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