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 Series Title: Employment Level: Farming, Fishing, and Forestry Occupations in Mining, quarrying, and oil and gas extraction: NSA
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 2000 01 980·
 2000 02 8
 2000 03 340.
 2000 04 91
 2000 05 19
 2000 06 591.
 2000 07 540·
 2000 08 79
 2000 09 870.
 2000 10 890·
 2000 11 58
 2000 12 480.
 2001 01  530.
 2001 02  820·
 2001 03  560·
 2001 04  400.
 2001 05  930·
 2001 06  420.
 2001 07  87
 2001 08  260·
 2001 09  60·
 2001 10  10.
 2001 11  140·
 2001 12  990.
 2002 01 180.
 2002 02 180.
 2002 03 240·
 2002 04 780.
 2002 05 810.
 2002 06 710.
 2002 07 32
 2002 08 80·
 2002 09 670.
 2002 10 700·
 2002 11 730.
 2002 12 580.
 2003 01  800·
 2003 02  450.
 2003 03  120.
 2003 04  220·
 2003 05  430.
 2003 06  520.
 2003 07  370.
 2003 08  190.
 2003 09  70.
 2003 10  740.
 2003 11  600·
 2003 12  930.
 2004 01 470.
 2004 02 180.
 2004 03 180.
 2004 04 133·
 2004 05 653·
 2004 06 133·
 2004 07 763.
 2004 08 740.
 2004 09 850·
 2004 10 190.
 2004 11 200·
 2004 12 94
 2005 01  570.
 2005 02  150·
 2005 03  650·
 2005 04  18
 2005 05  580.
 2005 06  90.
 2005 07  460.
 2005 08  150·
 2005 09  870·
 2005 10  330.
 2005 11  29
 2005 12  790.
 2006 01 690·
 2006 02 42
 2006 03 0
 2006 04 290·
 2006 05 560·
 2006 06 190.
 2006 07 72
 2006 08 100·
 2006 09 230.
 2006 10 700.
 2006 11 830.
 2006 12 90
 2007 01  704.
 2007 02  274·
 2007 03  96
 2007 04  630·
 2007 05  223.
 2007 06  470·
 2007 07  00·
 2007 08  490·
 2007 09  290·
 2007 10  110.
 2007 11  6
 2007 12  920·
 2008 01 680·
 2008 02 260·
 2008 03 530.
 2008 04 620·
 2008 05 394.
 2008 06 234.
 2008 07 33.
 2008 08 517.
 2008 09 673.
 2008 10 590·
 2008 11 450·
 2008 12 794·
 2009 01  14·
 2009 02  160·
 2009 04  923·
 2009 05  913.
 2009 06  198.
 2009 07  03.
 2009 08  810·
 2009 09  560·
 2009 10  20
 2009 11  430.
 2009 12  750.
 2010 01 670.
 2010 02 290.
 2010 03 20.
 2010 04 620.
 2010 05 440.
 2010 06 970.
 2010 07 590.
 2010 08 550.
 2010 09 314.
 2010 10 04.
 2010 11 194.
 2010 12 924·
 2011 01  970.
 2011 02  370.
 2011 03  140.
 2011 04  360·
 2011 05  370.
 2011 06  340·
 2011 07  20.
 2011 08  740.
 2011 09  690.
 2011 10  426·
 2011 11  646.
 2011 12  206·
 2012 01 376.


 2012 02 360.
 2012 03 70.
 2012 04 120·
 2012 05 110·
 2012 06 160·
 2012 07 610.
 2012 08 120·
 2012 09 850.
 2012 10 70·
 2012 11 840·
 2012 12 80·
 2013 01  780.
 2013 02  610.
 2013 03  580.
 2013 04  130.
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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

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      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 Mining, quarrying, and oil and gas extraction: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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