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 Series Title: Employment Level: Agriculture and Related Industries, Mexican: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 36402.
 2012 03 42389.
 2012 02 28439·
 2012 01 34399·
 2011 12  25377·
 2011 11  67368·
 2011 10  29433.
 2011 09  8486.
 2011 08  85575·
 2011 07  96623·
 2011 06  37580·
 2011 05  88564.
 2011 04  69410.
 2011 03  12428·
 2011 02  65424.
 2011 01  17373.
 2010 12 51361.
 2010 11 21378.
 2010 10 51487.
 2010 09 64435.
 2010 08 32477.
 2010 07 55533.
 2010 06 58473·
 2010 05 23490·
 2010 04 37418.
 2010 03 70386·
 2010 02 74401.
 2010 01 14362·
 2009 12  17337.
 2009 11  47381.
 2009 10  11402·
 2009 09  81395·
 2009 08  46427.
 2009 07  95466.
 2009 06  8477.
 2009 05  92462·
 2009 04  26406.
 2009 03  43306.
 2009 02  27367·
 2009 01  42343·
 2008 12 82373·
 2008 11 50341.
 2008 10 57423·
 2008 09 50455.
 2008 08 64415·
 2008 07 96400·
 2008 06 9410·
 2008 05 60383.
 2008 04 47403·
 2008 03 88395·
 2008 02 23406·
 2008 01 42455.
 2007 12  32467·
 2007 11  57426.
 2007 10  61408.
 2007 09  89381.
 2007 08  44360.
 2007 07  62464·
 2007 06  10441·
 2007 05  21377.
 2007 04  34357·
 2007 03  82345·
 2007 02  85377·
 2007 01  81353·
 2006 12 77361·
 2006 11 25364·
 2006 10 22366·
 2006 09 39399.
 2006 08 74467·
 2006 07 22524·
 2006 06 84513.
 2006 05 90411.
 2006 04 49396·
 2006 03 30281·
 2006 02 60286·
 2006 01 51278·
 2005 12  54282·
 2005 11  31399.
 2005 10  62388.
 2005 09  68427.
 2005 08  63475.
 2005 07  31476.
 2005 06  28479·
 2005 05  9386.
 2005 04  77359·
 2005 03  62337.
 2005 02  22320.
 2005 01  69304.
 2004 12 22324·
 2004 11 80433.
 2004 10 30405.
 2004 09 67481.
 2004 08 47528·
 2004 07 68410.
 2004 06 67431.
 2004 05 46440·
 2004 04 29392.
 2004 03 32357.
 2004 02 69360.
 2004 01 76374.
 2003 12  67416.
 2003 11  3442·
 2003 10  99533·
 2003 09  52577.
 2003 08  87523·
 2003 07  38402.
 2003 06  46373.
 2003 05  92379.
 2003 04  39332·
 2003 03  18360.
 2003 02  23328·
 2003 01  40301.
 2002 12 0325·
 2002 11 51308.
 2002 10 67489·
 2002 09 66538.
 2002 08 68462·
 2002 07 69547·
 2002 06 41485.
 2002 05 64452.
 2002 04 70469·
 2002 03 26338.
 2002 02 33344.
 2002 01 52329·
 2001 12  56303·
 2001 11  6318.
 2001 10  57394·
 2001 09  75402.
 2001 08  1421·
 2001 07  15351·
 2001 06  49390.
 2001 05  3502·
 2001 04  6450.
 2001 03  85348.
 2001 02  72345.
 2001 01  29453.
 2000 12 95408·
 2000 11 72400.
 2000 10 16456.
 2000 09 72495·
 2000 08 21548·
 2000 07 57587·
 2000 06 92601.
 2000 05 77564·
 2000 04 57535.
 2000 03 49463.
 2000 02 39511·
 2000 01 12526.
 1999 12  5650.
 1999 11  77682.
 1999 10  18634.
 1999 09  73702.
 1999 08  89724.
 1999 07  99752·
 1999 06  20740.
 1999 05  77687·
 1999 04  60700.
 1999 03  97596.
 1999 02  55529·
 1999 01  69592·
 1998 12 94479.
 1998 11 76704.
 1998 10 62831.
 1998 09 19811·
 1998 08 90788.
 1998 07 69699·
 1998 06 4615·
 1998 05 20686·
 1998 04 75699·
 1998 03 33557·
 1998 02 69544.
 1998 01 92534·
 1997 12  98461·
 1997 11  49505·
 1997 10  69493·
 1997 09  78537·
 1997 08  35581·
 1997 07  23638·
 1997 06  43665.
 1997 05  48707.
 1997 04  87657.
 1997 03  87584.
 1997 02  54518.
 1997 01  96516.
 1996 12 78491·
 1996 11 99491.
 1996 10 89516·
 1996 09 41509·
 1996 08 60592.
 1996 07 39570.
 1996 06 61639.
 1996 05 28622·
 1996 04 7539.
 1996 03 14523.
 1996 02 8530·
 1996 01 24481.
 1995 12  20413.
 1995 11  56466·
 1995 10  94563.
 1995 09  26581.
 1995 08  25615·
 1995 07  21634·
 1995 06  5628.
 1995 05  51590.
 1995 04  71549·
 1995 03  92544.
 1995 02  55474·
 1995 01  43413·
 1994 12 34481·
 1994 11 74461·
 1994 10 82485.
 1994 09 73515.
 1994 08 15603·
 1994 07 0555·
 1994 06 48561·
 1994 05 34565.
 1994 04 39473.
 1994 03 26440.
 1994 02 42451.
 1994 01 45428·
 1993 12  56435·
 1993 11  33491·
 1993 10  76440·
 1993 09  50536·
 1993 08  41488·
 1993 07  29513·
 1993 06  88486.
 1993 05  19445.
 1993 04  96414·
 1993 03  44405.
 1993 02  42387.
 1993 01  46446.
 1992 12 45522.
 1992 11 36489·
 1992 10 24475.
 1992 09 49524·
 1992 08 39554·
 1992 07 87502·
 1992 06 49581.
 1992 05 73496.
 1992 04 54473·
 1992 03 2437·
 1992 02 53364·
 1992 01 88319·
 1991 12  89405·
 1991 11  14479·
 1991 10  0485.
 1991 09  86566·
 1991 08  70557·
 1991 07  79532·
 1991 06  77565.
 1991 05  88477.
 1991 04  47429.
 1991 03  79399·
 1991 02  99366.
 1991 01  38339·
 1990 12 96394.
 1990 11 20417.
 1990 10 1510·
 1990 09 4571.
 1990 08 18542.
 1990 07 35549·
 1990 06 48560.
 1990 05 80459.
 1990 04 37441·
 1990 03 79444·
 1990 02 27360·
 1990 01 87383.
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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, Mexican: 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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