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 Series Title: Employment Level: Agriculture and Related Industries, Mexican Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 73358.
 2012 03 71324·
 2012 02 42349·
 2012 01 32315·
 2011 12  11294·
 2011 11  54302.
 2011 10  33343·
 2011 09  55374·
 2011 08  4439·
 2011 07  22477·
 2011 06  14455.
 2011 05  64466.
 2011 04  0348·
 2011 03  59369·
 2011 02  95340·
 2011 01  4292·
 2010 12 76287.
 2010 11 69280·
 2010 10 16372.
 2010 09 44327.
 2010 08 32360.
 2010 07 86413.
 2010 06 38356.
 2010 05 76375·
 2010 04 93365.
 2010 03 65335·
 2010 02 51341.
 2010 01 22295.
 2009 12  11279.
 2009 11  88316·
 2009 10  67335·
 2009 09  24316·
 2009 08  59330·
 2009 07  62366·
 2009 06  23381·
 2009 05  53378.
 2009 04  39332.
 2009 03  19261·
 2009 02  83307.
 2009 01  2261.
 2008 12 76308·
 2008 11 14276·
 2008 10 34321.
 2008 09 89372.
 2008 08 20326.
 2008 07 31327.
 2008 06 90347.
 2008 05 61322.
 2008 04 47333·
 2008 03 74332.
 2008 02 88359.
 2008 01 85391.
 2007 12  57400.
 2007 11  77377·
 2007 10  92346·
 2007 09  55313.
 2007 08  76306·
 2007 07  95382.
 2007 06  88351·
 2007 05  92320·
 2007 04  54293·
 2007 03  11273.
 2007 02  91312·
 2007 01  38308·
 2006 12 65309·
 2006 11 30316·
 2006 10 37304·
 2006 09 64324·
 2006 08 12355·
 2006 07 86424.
 2006 06 91395·
 2006 05 63331.
 2006 04 19315.
 2006 03 33237.
 2006 02 38235·
 2006 01 54225.
 2005 12  36236.
 2005 11  54326.
 2005 10  94312·
 2005 09  82339.
 2005 08  39378·
 2005 07  56402·
 2005 06  95408·
 2005 05  15321·
 2005 04  28311.
 2005 03  70281·
 2005 02  4277·
 2005 01  49256.
 2004 12 29280.
 2004 11 52340·
 2004 10 9308·
 2004 09 1380·
 2004 08 92411·
 2004 07 85334.
 2004 06 24354.
 2004 05 16365·
 2004 04 93323.
 2004 03 76309.
 2004 02 85311.
 2004 01 64305.
 2003 12  31335·
 2003 11  54352.
 2003 10  56413.
 2003 09  38463.
 2003 08  32409·
 2003 07  79320·
 2003 06  26289·
 2003 05  58295.
 2003 04  47260.
 2003 03  30280.
 2003 02  5261.
 2003 01  67243·
 2002 12 52268·
 2002 11 14244.
 2002 10 34383.
 2002 09 35442·
 2002 08 45390.
 2002 07 65431.
 2002 06 74399.
 2002 05 57353.
 2002 04 53402.
 2002 03 36277·
 2002 02 13273·
 2002 01 50245·
 2001 12  27247·
 2001 11  12249.
 2001 10  64309.
 2001 09  59338·
 2001 08  41353·
 2001 07  98302·
 2001 06  66323·
 2001 05  54398·
 2001 04  96384·
 2001 03  25294.
 2001 02  80286.
 2001 01  28367·
 2000 12 17344.
 2000 11 51337·
 2000 10 96392·
 2000 09 1441·
 2000 08 55458.
 2000 07 57510·
 2000 06 25502.
 2000 05 17485.
 2000 04 85451·
 2000 03 50388·
 2000 02 6429.
 2000 01 45436·
 1999 12  7553·
 1999 11  61615.
 1999 10  2556.
 1999 09  79606.
 1999 08  48616·
 1999 07  48644·
 1999 06  0617.
 1999 05  38609·
 1999 04  57625.
 1999 03  90544.
 1999 02  13466.
 1999 01  66525·
 1998 12 9439·
 1998 11 97646.
 1998 10 80741·
 1998 09 33683.
 1998 08 6643·
 1998 07 98616.
 1998 06 63550·
 1998 05 33600.
 1998 04 72624·
 1998 03 51487·
 1998 02 50458.
 1998 01 84465·
 1997 12  58392·
 1997 11  37429·
 1997 10  53414·
 1997 09  32425·
 1997 08  39466·
 1997 07  63523·
 1997 06  12581.
 1997 05  44625.
 1997 04  16578.
 1997 03  60541.
 1997 02  88471.
 1997 01  16456·
 1996 12 13447·
 1996 11 86426·
 1996 10 70455.
 1996 09 65444.
 1996 08 83516.
 1996 07 21490.
 1996 06 70556·
 1996 05 38566.
 1996 04 99484·
 1996 03 73453·
 1996 02 27457·
 1996 01 2431.
 1995 12  62357.
 1995 11  73404·
 1995 10  3485·
 1995 09  52498.
 1995 08  98529.
 1995 07  77549.
 1995 06  86535·
 1995 05  7503.
 1995 04  56487.
 1995 03  68483.
 1995 02  90437.
 1995 01  10381·
 1994 12 13434.
 1994 11 52412.
 1994 10 51430·
 1994 09 32444.
 1994 08 69506·
 1994 07 61470.
 1994 06 33484.
 1994 05 67497·
 1994 04 49421·
 1994 03 51399·
 1994 02 23404.
 1994 01 33382.
 1993 12  4384.
 1993 11  3427·
 1993 10  36392·
 1993 09  74475.
 1993 08  9429·
 1993 07  26453.
 1993 06  8430·
 1993 05  60397·
 1993 04  63368.
 1993 03  49366.
 1993 02  2359·
 1993 01  85404·
 1992 12 94481.
 1992 11 31443·
 1992 10 6438·
 1992 09 68457.
 1992 08 51493·
 1992 07 51443.
 1992 06 34504·
 1992 05 54442·
 1992 04 9416.
 1992 03 19380.
 1992 02 23324.
 1992 01 10288.
 1991 12  69378.
 1991 11  63440.
 1991 10  36415·
 1991 09  32497·
 1991 08  56465·
 1991 07  42473.
 1991 06  60469·
 1991 05  39418·
 1991 04  21399·
 1991 03  38358.
 1991 02  9318.
 1991 01  74303.
 1990 12 39360·
 1990 11 56384·
 1990 10 21443.
 1990 09 8487.
 1990 08 11454.
 1990 07 28472·
 1990 06 59470·
 1990 05 33406.
 1990 04 61379·
 1990 03 11395.
 1990 02 10333·
 1990 01 70338·
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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 Men: 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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