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 Series Title: Percent Distribution: Employed in Farming, Fishing, and Forestry Occupations, White Men: NSA
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 2000 01 691.3
 2000 02 571.3
 2000 03 731·2
 2000 04 651.3
 2000 05 31·4
 2000 06 601.5
 2000 07 101·5
 2000 08 581·5
 2000 09 901·4
 2000 10 491.3
 2000 11 351.1
 2000 12 381.1
 2001 01  821·1
 2001 02  51.0
 2001 03  621·1
 2001 04  481·3
 2001 05  531.3
 2001 06  361.3
 2001 07  281·2
 2001 08  581·2
 2001 09  51.2
 2001 10  731.2
 2001 11  961·1
 2001 12  611·0
 2002 01 611.0
 2002 02 721.0
 2002 03 541·0
 2002 04 771.3
 2002 05 741.2
 2002 06 161·3
 2002 07 151·3
 2002 08 501.2
 2002 09 181·2
 2002 10 101·3
 2002 11 171·0
 2002 12 491·0
 2003 01  931.0
 2003 02  871.0
 2003 03  221.0
 2003 04  681.0
 2003 05  251·1
 2003 06  31.3
 2003 07  191.4
 2003 08  261.4
 2003 09  651.5
 2003 10  401.4
 2003 11  201·3
 2003 12  671·1
 2004 01 871·1
 2004 02 31·0
 2004 03 631.0
 2004 04 621·1
 2004 05 921.1
 2004 06 261·2
 2004 07 121.2
 2004 08 31·3
 2004 09 61·3
 2004 10 651·1
 2004 11 541.1
 2004 12 91·0
 2005 01  791·0
 2005 02  11.0
 2005 03  21·0
 2005 04  261·0
 2005 05  871·0
 2005 06  411·3
 2005 07  941·3
 2005 08  221.2
 2005 09  291·1
 2005 10  161·1
 2005 11  921.1
 2005 12  911.0
 2006 01 311.0
 2006 02 841·0
 2006 03 851·0
 2006 04 531.1
 2006 05 431.1
 2006 06 261.2
 2006 07 861.3
 2006 08 511·1
 2006 09 411·0
 2006 10 481·1
 2006 11 321·0
 2006 12 551·0
 2007 01  261.0
 2007 02  821·1
 2007 03  871.0
 2007 04  581.0
 2007 05  221.1
 2007 06  851.2
 2007 07  371·2
 2007 08  811·0
 2007 09  811·1
 2007 10  381.1
 2007 11  971·0
 2007 12  671·1
 2008 01 761·0
 2008 02 491.0
 2008 03 41.1
 2008 04 851·0
 2008 05 101·1
 2008 06 481·2
 2008 07 201·2
 2008 08 291·2
 2008 09 71·2
 2008 10 921·0
 2008 11 351·0
 2008 12 191.0
 2009 01  170·9
 2009 02  641.0
 2009 03  601.0
 2009 04  991·1
 2009 05  161·2
 2009 06  691.2
 2009 07  341·2
 2009 08  371.1
 2009 09  51.1
 2009 10  391·1
 2009 11  191·1
 2009 12  291·0
 2010 01 91.0
 2010 02 311.0
 2010 03 31·0
 2010 04 921.1
 2010 05 771.1
 2010 06 271.2
 2010 07 01·3
 2010 08 721·2
 2010 09 871·2
 2010 10 331.3
 2010 11 471·0
 2010 12 371·1
 2011 01  371.0
 2011 02  811·1
 2011 03  71.1
 2011 04  821.0
 2011 05  541.2
 2011 06  271·3
 2011 07  681·4
 2011 08  251·4
 2011 09  871.2
 2011 10  541·2
 2011 11  421·2
 2011 12  111.1
 2012 01 121.0


 2012 02 671.0
 2012 03 691·0
 2012 04 91.1
 2012 05 301.3
 2012 06 981.2
 2012 07 101·4
 2012 08 141·2
 2012 09 661.2
 2012 10 51·1
 2012 11 531.0
 2012 12 431.0
 2013 01  700·9
 2013 02  680.9
 2013 03  120·9
 2013 04  421·0
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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: Percent Distribution: Employed in Farming, Fishing, and Forestry Occupations, White Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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