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 Series Title: Employment Level: Agriculture and Related Industries, Cuban: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 4114.
 2012 03 81
 2012 02 970·
 2012 01 130.
 2011 12  730.
 2011 11  250.
 2011 10  200·
 2011 09  360·
 2011 08  344.
 2011 07  3115.
 2011 06  611·
 2011 05  207·
 2011 04  734.
 2011 03  807.
 2011 02  680.
 2011 01  910·
 2010 12 6813.
 2010 11 7812.
 2010 10 4522.
 2010 09 7313.
 2010 08 170·
 2010 07 560·
 2010 06 98
 2010 05 60.
 2010 04 47
 2010 03 720.
 2010 02 172·
 2010 01 269.
 2009 12  76·
 2009 11  85.
 2009 10  136·
 2009 09  780·
 2009 08  740·
 2009 07  690.
 2009 06  252·
 2009 02  316.
 2009 01  474·
 2008 12 874.
 2008 11 164.
 2008 02 794·
 2008 01 536·
 2007 12  207·
 2007 11  747.
 2007 10  423.
 2007 08  406·
 2007 07  485·
 2007 06  10
 2007 05  636.
 2007 04  86
 2007 03  796.
 2007 01  643.
 2006 12 113.
 2006 11 89
 2006 10 444.
 2006 06 993.
 2006 05 826.
 2006 04 766.
 2006 03 995·
 2006 02 18.
 2006 01 935·
 2005 12  973.
 2005 03  277.
 2005 02  843·
 2005 01  893.
 2004 12 283·
 2004 11 340·
 2004 10 87
 2004 09 390·
 2004 07 687·
 2004 06 517·
 2004 05 717·
 2004 04 375.
 2003 12  436·
 2003 11  366.
 2003 10  249·
 2003 09  33·
 2003 08  38·
 2003 07  694·
 2003 06  618.
 2003 05  81
 2003 04  253·
 2003 03  586.
 2003 02  17
 2003 01  396.
 2002 12 76·
 2002 11 341·
 2002 10 571.
 2002 08 722.
 2002 05 76
 2002 04 530.
 2002 03 694·
 2002 02 991·
 2001 12  833·
 2001 11  993.
 2001 10  643.
 2001 08  643·
 2001 07  26.
 2001 06  763.
 2001 05  81
 2001 03  36
 2001 02  333·
 2001 01  1712.
 2000 12 8312.
 2000 11 109.
 2000 10 36·
 2000 01 783.
 1999 12  595·
 1999 11  43·
 1999 10  623·
 1999 08  413.
 1999 07  1912·
 1999 06  6310·
 1999 05  848.
 1999 04  13
 1999 03  36.
 1999 02  569·
 1999 01  718.
 1998 12 254·
 1998 11 748.
 1998 10 777.
 1998 09 474.
 1998 08 343·
 1998 07 196·
 1998 06 4411·
 1998 05 6411·
 1998 04 226.
 1998 03 529.
 1998 02 33·
 1998 01 966.
 1997 12  957.
 1997 11  93.
 1997 10  234·
 1997 09  455·
 1997 08  8412.
 1997 07  545·
 1997 06  978.
 1997 05  348.
 1997 04  473·
 1997 03  763.
 1996 09 44
 1996 08 161·
 1996 07 663·
 1996 06 866.
 1996 05 106·
 1996 04 643.
 1996 03 468·
 1996 02 2310.
 1996 01 6211·
 1995 12  8012·
 1995 11  197.
 1995 10  4914.
 1995 09  969.
 1995 08  894·
 1995 07  425.
 1995 06  536.
 1995 05  297·
 1995 04  414.
 1995 03  977·
 1995 02  473·
 1995 01  7
 1994 12 123·
 1994 11 912·
 1994 10 702·
 1994 09 992·
 1994 08 2
 1994 07 544.
 1994 06 844.
 1994 05 983.
 1994 04 363·
 1994 03 446·
 1994 02 766·
 1994 01 24
 1993 12  6513·
 1993 11  4215.
 1993 10  6115·
 1993 09  2123.
 1993 08  6515.
 1993 07  559.
 1993 06  752.
 1993 05  58
 1993 04  353.
 1993 03  153·
 1993 02  825.
 1993 01  299·
 1992 12 18·
 1992 11 7710·
 1992 10 706.
 1992 09 547·
 1992 08 1411·
 1992 07 2512.
 1992 06 514.
 1992 05 76
 1992 04 486.
 1992 03 643·
 1992 02 64
 1992 01 6510·
 1991 12  57.
 1991 11  269.
 1991 10  717·
 1991 09  144·
 1991 06  94.
 1991 05  677·
 1991 04  605.
 1991 03  436·
 1991 02  117·
 1991 01  706.
 1990 12 444.
 1990 11 975·
 1990 10 871·
 1990 09 415.
 1990 08 614.
 1990 07 436.
 1990 06 367.
 1990 05 126·
 1990 04 745·
 1990 03 774.
 1990 02 848.
 1990 01 39
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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, Cuban: 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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