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 Series Title: Employment Level: Agriculture and Related Industries, 20 years and over, 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 29348·
 2012 03 3321.
 2012 02 83340.
 2012 01 41300.
 2011 12  71290.
 2011 11  71302.
 2011 10  41337·
 2011 09  11354·
 2011 08  91415·
 2011 07  49452.
 2011 06  12437.
 2011 05  93447·
 2011 04  41335.
 2011 03  20354·
 2011 02  10335·
 2011 01  30291·
 2010 12 96282.
 2010 11 91277.
 2010 10 71369.
 2010 09 92319.
 2010 08 55342.
 2010 07 92394·
 2010 06 60345·
 2010 05 72362·
 2010 04 45359·
 2010 03 81329·
 2010 02 64332·
 2010 01 90288·
 2009 12  16269.
 2009 11  39305.
 2009 10  95328·
 2009 09  89300·
 2009 08  43319.
 2009 07  73355.
 2009 06  93378·
 2009 05  40367.
 2009 04  26317·
 2009 03  14242.
 2009 02  19297.
 2009 01  36255·
 2008 12 92301·
 2008 11 19271·
 2008 10 61310·
 2008 09 96355·
 2008 08 89307·
 2008 07 70315·
 2008 06 33337.
 2008 05 65306.
 2008 04 95318·
 2008 03 74321.
 2008 02 72347.
 2008 01 11373.
 2007 12  9378.
 2007 11  61351·
 2007 10  42320.
 2007 09  29291·
 2007 08  56302·
 2007 07  89378·
 2007 06  29337.
 2007 05  38310·
 2007 04  87284.
 2007 03  40260.
 2007 02  48296·
 2007 01  81292.
 2006 12 77303.
 2006 11 19307·
 2006 10 35298·
 2006 09 29309.
 2006 08 27344·
 2006 07 59400.
 2006 06 55381.
 2006 05 75321·
 2006 04 63304·
 2006 03 16232.
 2006 02 93232.
 2006 01 39218.
 2005 12  33232.
 2005 11  72310·
 2005 10  65301·
 2005 09  64318·
 2005 08  15361·
 2005 07  33393.
 2005 06  7399·
 2005 05  20317·
 2005 04  8305.
 2005 03  32275.
 2005 02  82275·
 2005 01  0253·
 2004 12 37267.
 2004 11 24318.
 2004 10 78285.
 2004 09 25358·
 2004 08 54373.
 2004 07 92315·
 2004 06 9342.
 2004 05 38355·
 2004 04 33313·
 2004 03 42300.
 2004 02 11289.
 2004 01 8281.
 2003 12  74308.
 2003 11  6324·
 2003 10  49392.
 2003 09  29452.
 2003 08  4400.
 2003 07  40312.
 2003 06  9286.
 2003 05  21285·
 2003 04  73248.
 2003 03  26264.
 2003 02  5247·
 2003 01  28241·
 2002 12 56256.
 2002 11 70244·
 2002 10 74369.
 2002 09 18421·
 2002 08 53377·
 2002 07 5415.
 2002 06 80384.
 2002 05 86340.
 2002 04 89381·
 2002 03 87250·
 2002 02 10252·
 2002 01 52230·
 2001 12  16227.
 2001 11  97234·
 2001 10  78289.
 2001 09  58319.
 2001 08  9321·
 2001 07  42285.
 2001 06  20302·
 2001 05  76371.
 2001 04  67364·
 2001 03  55292·
 2001 02  1284.
 2001 01  97352.
 2000 12 17325.
 2000 11 90307·
 2000 10 7354.
 2000 09 42413·
 2000 08 8428·
 2000 07 31499·
 2000 06 53478.
 2000 05 56458·
 2000 04 17417.
 2000 03 84370.
 2000 02 75406.
 2000 01 6411.
 1999 12  43517·
 1999 11  80569·
 1999 10  36530.
 1999 09  87576·
 1999 08  12577·
 1999 07  76598.
 1999 06  25579.
 1999 05  18560·
 1999 04  75574·
 1999 03  54503.
 1999 02  55430·
 1999 01  44509.
 1998 12 6422·
 1998 11 20604·
 1998 10 62678.
 1998 09 33636.
 1998 08 6598·
 1998 07 6584.
 1998 06 11532·
 1998 05 80582.
 1998 04 0604·
 1998 03 68471·
 1998 02 89450·
 1998 01 3447·
 1997 12  40373·
 1997 11  89402·
 1997 10  9398.
 1997 09  48404·
 1997 08  99431.
 1997 07  75490.
 1997 06  8555.
 1997 05  83577.
 1997 04  79553·
 1997 03  57524.
 1997 02  51445.
 1997 01  2443·
 1996 12 6420.
 1996 11 92411·
 1996 10 24446.
 1996 09 24433·
 1996 08 28489.
 1996 07 62460·
 1996 06 40514·
 1996 05 93527.
 1996 04 23450·
 1996 03 74429·
 1996 02 38433.
 1996 01 80419.
 1995 12  90348.
 1995 11  58386·
 1995 10  80463.
 1995 09  77474·
 1995 08  54497.
 1995 07  73518.
 1995 06  54499·
 1995 05  4491·
 1995 04  66479·
 1995 03  98452·
 1995 02  73418·
 1995 01  5358.
 1994 12 2418·
 1994 11 42388.
 1994 10 75405.
 1994 09 49416·
 1994 08 61469.
 1994 07 36439.
 1994 06 23456.
 1994 05 31475.
 1994 04 70397.
 1994 03 35366.
 1994 02 5383.
 1994 01 69371.
 1993 12  78364.
 1993 11  23405·
 1993 10  33380.
 1993 09  8436·
 1993 08  61403·
 1993 07  5431.
 1993 06  46404.
 1993 05  16372.
 1993 04  19348·
 1993 03  13336.
 1993 02  7334·
 1993 01  88383.
 1992 12 79437.
 1992 11 4409.
 1992 10 2395·
 1992 09 44432.
 1992 08 89461.
 1992 07 60407·
 1992 06 46465.
 1992 05 26420.
 1992 04 25396·
 1992 03 87369·
 1992 02 76314·
 1992 01 5278.
 1991 12  89357.
 1991 11  16410·
 1991 10  54377.
 1991 09  75462·
 1991 08  5419.
 1991 07  5423.
 1991 06  70436·
 1991 05  54386.
 1991 04  23363·
 1991 03  35319.
 1991 02  35297.
 1991 01  86284.
 1990 12 20330.
 1990 11 13343·
 1990 10 88398·
 1990 09 42451.
 1990 08 95400.
 1990 07 70435·
 1990 06 92441.
 1990 05 14381.
 1990 04 74364·
 1990 03 63376·
 1990 02 33313·
 1990 01 23306.
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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, 20 years and over, 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

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