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 Series Title: Employment Level: Farming, Fishing, and Forestry Occupations, White: NSA
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 2000 01 231007·
 2000 02 991041·
 2000 03 301000·
 2000 04 611098·
 2000 05 631140·
 2000 06 91215.
 2000 07 731220.
 2000 08 601234·
 2000 09 561136.
 2000 10 4999.
 2000 11 5911.
 2000 12 47859.
 2001 01  54837.
 2001 02  67749·
 2001 03  38848.
 2001 04  631009.
 2001 05  321143.
 2001 06  41071.
 2001 07  101070.
 2001 08  791082·
 2001 09  901047.
 2001 10  47977.
 2001 11  84865·
 2001 12  88828.
 2002 01 52838·
 2002 02 53813·
 2002 03 48843.
 2002 04 10968·
 2002 05 71970.
 2002 06 21042.
 2002 07 161083·
 2002 08 89940.
 2002 09 21993·
 2002 10 31016·
 2002 11 23788.
 2002 12 94838·
 2003 01  3815·
 2003 02  86808.
 2003 03  35870·
 2003 04  20826·
 2003 05  41891·
 2003 06  81026.
 2003 07  381046·
 2003 08  841127·
 2003 09  871153·
 2003 10  511132.
 2003 11  45948.
 2003 12  32812·
 2004 01 16795.
 2004 02 21763.
 2004 03 95741.
 2004 04 32843.
 2004 05 27887.
 2004 06 50999.
 2004 07 50980·
 2004 08 801055.
 2004 09 481005.
 2004 10 95897·
 2004 11 98897.
 2004 12 93755·
 2005 01  27733.
 2005 02  38744.
 2005 03  52787.
 2005 04  16835.
 2005 05  40861·
 2005 06  841018.
 2005 07  501052.
 2005 08  181027·
 2005 09  88946·
 2005 10  65934.
 2005 11  55890.
 2005 12  93757.
 2006 01 97764·
 2006 02 39801·
 2006 03 54772·
 2006 04 61894·
 2006 05 15898.
 2006 06 87995·
 2006 07 611056·
 2006 08 66926·
 2006 09 20844.
 2006 10 15862·
 2006 11 14821.
 2006 12 76802·
 2007 01  11802·
 2007 02  56835.
 2007 03  74779.
 2007 04  86802·
 2007 05  13879.
 2007 06  65952·
 2007 07  31993.
 2007 08  14826.
 2007 09  78875·
 2007 10  25863·
 2007 11  97830·
 2007 12  6873·
 2008 01 80808·
 2008 02 41805.
 2008 03 11823.
 2008 04 31795.
 2008 05 20881·
 2008 06 47972.
 2008 07 33991.
 2008 08 81990.
 2008 09 23962·
 2008 10 97887.
 2008 11 54806·
 2008 12 78817.
 2009 01  39719·
 2009 02  75729.
 2009 03  86729·
 2009 04  63839·
 2009 05  45911.
 2009 06  86969·
 2009 07  66948·
 2009 08  8902·
 2009 09  40841.
 2009 10  63822.
 2009 11  57832.
 2009 12  6768.
 2010 01 50708.
 2010 02 62771.
 2010 03 48758.
 2010 04 76864.
 2010 05 25939·
 2010 06 64999.
 2010 07 511061.
 2010 08 62967.
 2010 09 40950·
 2010 10 76973·
 2010 11 4836.
 2010 12 33843.
 2011 01  97798.
 2011 02  30815·
 2011 03  70806·
 2011 04  84784.
 2011 05  20966·
 2011 06  821028·
 2011 07  371096.
 2011 08  341086.
 2011 09  59960.
 2011 10  15939.
 2011 11  18913.
 2011 12  26836.
 2012 01 91743.


 2012 02 35801·
 2012 03 50794.
 2012 04 30836.
 2012 05 151016·
 2012 06 721017.
 2012 07 981092·
 2012 08 41949.
 2012 09 57981·
 2012 10 85879.
 2012 11 47781·
 2012 12 76777·
 2013 01  67698·
 2013 02  55733·
 2013 03  12713·
 2013 04  81756·
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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, White: 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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