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 Series Title: Employment Level: Agriculture and Related Industries, Cuban, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 997.
 2012 03 554.
 2012 02 640·
 2012 01 470.
 2011 12  500.
 2011 11  190.
 2011 10  60.
 2011 09  890·
 2011 08  294.
 2011 07  4415·
 2011 06  1011.
 2011 05  92
 2011 04  874.
 2011 03  117·
 2011 02  920.
 2011 01  05.
 2010 12 05.
 2010 11 275·
 2010 10 87
 2010 09 834·
 2010 08 690.
 2010 07 250·
 2010 06 590.
 2010 05 340·
 2010 04 170.
 2010 03 600.
 2010 02 962.
 2010 01 739·
 2009 12  966.
 2009 11  145.
 2009 10  126.
 2009 09  44
 2009 08  820.
 2009 07  940.
 2009 06  422·
 2009 02  154.
 2009 01  744.
 2008 12 314.
 2008 11 524.
 2008 02 824.
 2008 01 986·
 2007 12  827·
 2007 11  287.
 2007 10  643.
 2007 08  43·
 2007 07  303.
 2007 06  843.
 2007 05  33.
 2007 04  683·
 2007 03  796·
 2007 01  57
 2006 12 713.
 2006 11 913·
 2006 10 634.
 2006 06 103.
 2006 05 603.
 2006 04 976.
 2006 03 375.
 2006 02 315·
 2006 01 89
 2005 12  363.
 2005 03  83
 2005 02  333·
 2005 01  43.
 2004 12 853.
 2004 11 90.
 2004 10 540.
 2004 09 730·
 2004 07 447·
 2004 06 457.
 2004 05 577·
 2004 04 905·
 2003 12  383.
 2003 11  483.
 2003 10  296.
 2003 09  753.
 2003 08  177.
 2003 07  0
 2003 06  843.
 2003 05  717.
 2003 04  573.
 2003 03  83.
 2003 02  593.
 2003 01  483·
 2002 12 593.
 2002 11 21·
 2002 10 18
 2002 08 0
 2002 03 473.
 2001 07  413.
 2001 05  483.
 2001 03  46
 2001 02  723.
 2001 01  59.
 2000 12 62
 2000 11 296.
 2000 10 93.
 2000 01 13.
 1999 12  985·
 1999 11  203.
 1999 10  603.
 1999 08  603.
 1999 07  199.
 1999 06  138·
 1999 05  482.
 1999 04  403.
 1999 03  133·
 1999 02  266.
 1999 01  25
 1998 12 224·
 1998 11 938.
 1998 10 4
 1998 09 674.
 1998 08 13
 1998 07 966.
 1998 06 158·
 1998 05 729.
 1998 04 443.
 1998 03 856.
 1998 02 553.
 1998 01 686.
 1997 12  727.
 1997 11  493·
 1997 10  414·
 1997 09  34·
 1997 08  7811·
 1997 07  0
 1997 06  195·
 1997 05  546.
 1997 04  703·
 1997 03  763·
 1996 09 574·
 1996 08 211·
 1996 07 783·
 1996 06 406·
 1996 05 503.
 1996 04 303·
 1996 03 608·
 1996 02 808.
 1996 01 168.
 1995 12  307·
 1995 11  978·
 1995 10  912·
 1995 09  07.
 1995 08  974·
 1995 07  965.
 1995 06  656·
 1995 05  717.
 1995 04  324.
 1995 03  887·
 1995 02  103·
 1995 01  243·
 1994 12 593.
 1994 11 302.
 1994 10 332.
 1994 09 762.
 1994 08 30
 1994 07 44·
 1994 06 464.
 1994 05 733.
 1994 04 203.
 1994 03 166·
 1994 02 876·
 1994 01 839.
 1993 12  2812·
 1993 11  9816·
 1993 10  1911.
 1993 09  118·
 1993 08  819·
 1993 07  67·
 1993 05  311·
 1993 04  463.
 1993 03  293·
 1993 02  235.
 1993 01  349·
 1992 12 628.
 1992 11 4810.
 1992 10 556.
 1992 09 676.
 1992 08 178.
 1992 07 3710.
 1992 06 332.
 1992 05 933.
 1992 04 76.
 1992 03 213.
 1992 02 155.
 1992 01 08.
 1991 12  516·
 1991 11  53
 1991 10  81
 1991 09  04.
 1991 06  914·
 1991 05  67.
 1991 04  385.
 1991 03  316.
 1991 02  997·
 1991 01  816·
 1990 12 194·
 1990 11 57
 1990 10 671.
 1990 09 42·
 1990 08 803.
 1990 07 654·
 1990 06 154.
 1990 05 253.
 1990 04 13.
 1990 03 67
 1990 02 877.
 1990 01 196.
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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, 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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