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 Series Title: Employment Level: Agriculture and Related Industries, 20 years and over, Puerto Rican, Men: NSA
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 2012 04 62
 2012 03 874·
 2012 02 390.
 2012 01 80.
 2011 12  90.
 2011 11  580.
 2011 10  740.
 2011 09  40·
 2011 08  794·
 2011 07  843.
 2011 06  65
 2011 05  554.
 2011 04  210·
 2011 03  462·
 2011 02  270·
 2011 01  50.
 2010 12 120.
 2010 11 510.
 2010 10 971·
 2010 09 231·
 2010 08 514.
 2010 07 305·
 2010 06 385.
 2010 05 38.
 2010 04 650.
 2010 03 411.
 2010 02 371.
 2010 01 654.
 2009 12  37.
 2009 11  654·
 2009 10  80·
 2009 09  533.
 2009 08  410.
 2009 07  90.
 2009 06  880·
 2008 08 351·
 2008 07 801.
 2008 06 34.
 2008 05 41
 2008 04 63·
 2008 03 442·
 2007 07  63.
 2007 06  546.
 2007 05  853·
 2007 04  847·
 2006 10 982·
 2006 08 40
 2006 06 173·
 2006 05 766·
 2006 01 864·
 2005 12  388·
 2005 11  704·
 2005 10  19
 2005 08  24.
 2005 07  93·
 2005 05  380·
 2005 04  40
 2005 03  27.
 2005 02  427·
 2005 01  406.
 2004 12 894.
 2004 10 682.
 2004 08 508·
 2004 07 226·
 2004 06 414.
 2004 05 70.
 2004 04 710·
 2004 03 514·
 2004 01 963.
 2003 12  513.
 2003 10  671.
 2003 09  23
 2003 08  801.
 2003 07  553.
 2003 06  261.
 2003 01  551·
 2002 10 432.
 2002 07 21·
 2002 01 620·
 2001 12  93
 2001 11  610.
 2001 10  983·
 2001 09  122.
 2001 08  62.
 2001 07  333.
 2001 06  757·
 2001 05  396.
 2001 04  8711·
 2001 03  879.
 2001 02  9014·
 2001 01  3114.
 2000 12 556·
 2000 07 715.
 2000 06 235·
 2000 05 17·
 2000 04 5612.
 2000 03 618.
 2000 02 8310.
 2000 01 863·
 1999 12  575·
 1999 11  583·
 1999 10  03·
 1999 09  50
 1999 08  5410·
 1999 07  8616·
 1999 06  3112·
 1999 05  818.
 1999 03  653.
 1999 02  978·
 1999 01  584.
 1998 12 915·
 1998 11 348·
 1998 10 6611·
 1998 09 879·
 1998 08 1911·
 1998 07 3111·
 1998 06 9313·
 1998 05 5010·
 1998 04 278·
 1998 03 505·
 1997 12  42.
 1997 10  411·
 1997 09  37·
 1997 08  97·
 1997 07  489·
 1997 06  3011·
 1997 05  599.
 1997 04  546.
 1997 03  24.
 1997 02  364·
 1997 01  351.
 1996 12 528.
 1996 11 6510·
 1996 10 518·
 1996 09 933.
 1996 08 994.
 1996 07 646.
 1996 06 3411·
 1996 05 2014.
 1996 04 1418.
 1996 03 48
 1996 02 665.
 1996 01 296.
 1995 12  4010.
 1995 11  929.
 1995 10  536.
 1995 09  597.
 1995 08  467.
 1995 07  988·
 1995 06  2810.
 1995 05  738·
 1995 04  287.
 1995 03  916·
 1995 02  468·
 1995 01  588.
 1994 12 33.
 1994 11 213·
 1994 10 897.
 1994 09 269.
 1994 08 163.
 1994 07 637.
 1994 06 6510·
 1994 05 178·
 1994 04 3716.
 1994 03 185·
 1994 02 52·
 1993 12  93
 1993 11  595.
 1993 10  122·
 1993 09  645.
 1993 08  412·
 1993 07  2
 1993 06  936.
 1993 05  269·
 1993 04  7516.
 1993 03  913·
 1993 02  3912.
 1993 01  968.
 1992 12 331.
 1992 11 5111·
 1992 10 509·
 1992 09 74·
 1992 08 776·
 1992 07 205·
 1992 06 5012·
 1992 05 145.
 1992 04 9610.
 1992 03 368.
 1992 02 904.
 1992 01 03·
 1991 12  14.
 1991 11  43
 1991 10  46
 1991 09  726.
 1991 08  324·
 1991 07  114·
 1991 06  177.
 1991 05  6013.
 1991 04  519·
 1991 03  345.
 1991 02  307.
 1991 01  214.
 1990 12 464·
 1990 11 308·
 1990 10 359.
 1990 09 387·
 1990 08 3013.
 1990 07 4411.
 1990 06 77·
 1990 05 166·
 1990 04 4010.
 1990 03 4412.
 1990 02 46
 1990 01 88
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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, Puerto Rican, 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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