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 Series Title: Employment Level: Agriculture and Related Industries, Female: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 56534·
 2012 03 75598·
 2012 02 46570.
 2012 01 92558.
 2011 12  57604.
 2011 11  89551·
 2011 10  38541·
 2011 09  83567.
 2011 08  86579·
 2011 07  63529.
 2011 06  93541·
 2011 05  36556·
 2011 04  94529.
 2011 03  80565·
 2011 02  24570.
 2011 01  94549·
 2010 12 57526.
 2010 11 47578.
 2010 10 69622·
 2010 09 27555·
 2010 08 76533.
 2010 07 94531.
 2010 06 91515·
 2010 05 28540.
 2010 04 74518·
 2010 03 79519·
 2010 02 78540·
 2010 01 17510·
 2009 12  3449.
 2009 11  83486.
 2009 10  44486·
 2009 09  38490.
 2009 08  39531·
 2009 07  13515·
 2009 06  25521·
 2009 05  60475.
 2009 04  81483·
 2009 03  0463.
 2009 02  84498·
 2009 01  77541·
 2008 12 55545.
 2008 11 2567.
 2008 10 10560.
 2008 09 8515.
 2008 08 11501·
 2008 07 99533.
 2008 06 16497.
 2008 05 98494·
 2008 04 26494.
 2008 03 99503.
 2008 02 39494.
 2008 01 15511.
 2007 12  98499·
 2007 11  32458.
 2007 10  42456.
 2007 09  54492.
 2007 08  54416·
 2007 07  56496·
 2007 06  13485·
 2007 05  34490·
 2007 04  43537.
 2007 03  53573·
 2007 02  65530·
 2007 01  99470.
 2006 12 42507·
 2006 11 28501·
 2006 10 36506.
 2006 09 18542·
 2006 08 51623·
 2006 07 14573.
 2006 06 89597·
 2006 05 85553.
 2006 04 95560·
 2006 03 67498.
 2006 02 11525·
 2006 01 20504.
 2005 12  24515.
 2005 11  70575.
 2005 10  16547.
 2005 09  66566·
 2005 08  14539·
 2005 07  27542.
 2005 06  41561.
 2005 05  93556·
 2005 04  66569.
 2005 03  72531.
 2005 02  50514·
 2005 01  94494·
 2004 12 4564·
 2004 11 60545·
 2004 10 30560.
 2004 09 90529.
 2004 08 79554.
 2004 07 74523.
 2004 06 94547.
 2004 05 24569.
 2004 04 66540·
 2004 03 20553·
 2004 02 80512·
 2004 01 65552.
 2003 12  67549.
 2003 11  30562.
 2003 10  51584·
 2003 09  7550.
 2003 08  5618.
 2003 07  60566·
 2003 06  95572.
 2003 05  70568.
 2003 04  33558·
 2003 03  92588·
 2003 02  25605.
 2003 01  98645.
 2002 12 24589·
 2002 11 33593.
 2002 10 78608.
 2002 09 60573.
 2002 08 79526.
 2002 07 14591.
 2002 06 17543·
 2002 05 49572·
 2002 04 25591·
 2002 03 91625·
 2002 02 31631.
 2002 01 86625·
 2001 12  10609·
 2001 11  48581.
 2001 10  32606.
 2001 09  13617.
 2001 08  11605·
 2001 07  89597.
 2001 06  58567·
 2001 05  2602.
 2001 04  28590·
 2001 03  48565·
 2001 02  72568·
 2001 01  44569.
 2000 12 87575.
 2000 11 79570·
 2000 10 62502·
 2000 09 61509.
 2000 08 37612·
 2000 07 66556·
 2000 06 41639.
 2000 05 95658·
 2000 04 54674.
 2000 03 15665·
 2000 02 47654.
 2000 01 16633.
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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: Agriculture and Related Industries, Female: SA
   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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