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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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 2012 04 92
 2012 03 600.
 2012 02 580·
 2012 01 316.
 2011 12  506·
 2011 11  886·
 2011 10  206.
 2011 09  490.
 2011 08  630.
 2011 07  2
 2011 06  700·
 2011 05  540·
 2011 04  790.
 2011 03  840.
 2011 02  22
 2011 01  890.
 2010 12 764.
 2010 11 404.
 2010 10 13
 2010 09 244·
 2010 08 520.
 2010 07 20·
 2010 06 60·
 2010 05 520.
 2010 04 340·
 2010 03 260·
 2010 02 890·
 2010 01 930·
 2009 12  710.
 2009 11  940.
 2009 10  750·
 2009 09  910.
 2009 08  400·
 2009 07  14
 2009 06  18·
 2009 05  15
 2009 04  403.
 2009 02  160.
 2009 01  324·
 2008 12 594·
 2008 11 970.
 2008 10 560·
 2008 09 543·
 2008 08 42
 2008 07 623.
 2008 06 18
 2008 05 804.
 2008 04 80·
 2008 03 90·
 2008 02 70·
 2008 01 480.
 2007 12  280·
 2007 11  400·
 2007 10  550.
 2007 09  220.
 2007 08  940·
 2007 07  790.
 2007 06  190.
 2007 05  893.
 2007 04  250.
 2007 03  774·
 2007 02  804.
 2007 01  62
 2006 12 674·
 2006 11 90·
 2006 10 44
 2006 09 780·
 2006 08 880.
 2006 07 76
 2006 06 450·
 2006 05 20·
 2006 04 820·
 2006 03 30·
 2006 02 380.
 2006 01 200.
 2005 12  690.
 2005 11  400.
 2005 10  4
 2005 09  460.
 2005 08  920·
 2005 07  640·
 2005 06  510·
 2005 05  170·
 2005 04  210·
 2005 03  730·
 2005 02  100.
 2005 01  960·
 2004 12 500·
 2004 11 950·
 2004 10 38
 2004 09 720.
 2004 08 970.
 2004 07 783.
 2004 06 173·
 2004 05 573·
 2004 04 8
 2004 03 990.
 2004 02 520.
 2004 01 890.
 2003 12  510.
 2003 11  570.
 2003 10  760.
 2003 09  300.
 2003 08  200.
 2003 07  790.
 2003 06  460.
 2003 05  700.
 2003 04  350.
 2003 03  140.
 2003 02  420.
 2003 01  200·
 2002 12 400·
 2002 11 390·
 2002 10 720.
 2002 09 190·
 2002 08 30·
 2002 07 520·
 2002 06 680·
 2002 05 290.
 2002 04 200·
 2002 03 81
 2002 02 850·
 2002 01 380.
 2001 12  8
 2001 11  750·
 2001 10  60·
 2001 09  60
 2001 08  130·
 2001 07  90·
 2001 06  370.
 2001 05  320·
 2001 04  30·
 2001 03  840.
 2001 02  100·
 2001 01  170.
 2000 12 73
 2000 11 26
 2000 10 810.
 2000 09 3
 2000 08 410·
 2000 07 840.
 2000 06 321.
 2000 05 20·
 2000 04 520.
 2000 03 340.
 2000 02 700.
 2000 01 54
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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 Mining, quarrying, and oil and gas extraction: 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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