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 Series Title: Employment Level: Agriculture and Related Industries, Puerto Rican, Women: NSA
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 2012 04 190.
 2012 03 340·
 2012 02 710.
 2012 01 460.
 2011 12  980·
 2011 11  68
 2011 10  05·
 2011 09  673.
 2011 08  248.
 2011 07  817.
 2011 06  110·
 2011 05  680.
 2011 04  480·
 2011 03  560·
 2011 02  170.
 2011 01  940·
 2010 12 450·
 2010 11 990·
 2010 10 560.
 2010 09 120.
 2010 08 160.
 2010 07 423.
 2010 06 903.
 2010 05 183.
 2010 04 870·
 2010 03 410·
 2010 02 90·
 2010 01 300.
 2009 12  7
 2009 11  78
 2009 10  24
 2009 09  930·
 2009 08  510·
 2009 07  590.
 2009 06  740·
 2008 07 76
 2008 06 21
 2008 05 163·
 2008 04 213·
 2007 12  732·
 2007 11  421.
 2007 10  71.
 2007 09  531.
 2007 06  24·
 2007 05  643·
 2007 04  123·
 2007 03  83
 2006 09 92.
 2006 08 622.
 2005 08  383·
 2005 07  502.
 2005 06  624.
 2004 05 386.
 2004 04 165·
 2004 03 158.
 2004 02 567.
 2004 01 153.
 2003 12  5
 2003 11  673.
 2003 10  93·
 2003 09  463.
 2003 08  84
 2003 05  194.
 2003 03  664·
 2003 02  44.
 2002 05 613.
 2002 04 93·
 2002 03 953·
 2000 05 913·
 2000 02 675.
 2000 01 993.
 1999 11  921.
 1999 10  311·
 1999 09  59
 1999 08  781·
 1999 01  752.
 1998 12 762.
 1998 11 191.
 1998 10 581·
 1998 09 893.
 1998 08 03·
 1998 07 534.
 1998 06 775·
 1997 11  11.
 1997 10  5
 1997 09  930·
 1997 08  980·
 1997 07  81·
 1997 06  153.
 1997 05  958.
 1997 04  96.
 1997 03  276·
 1997 02  805·
 1997 01  420.
 1996 12 230.
 1996 06 2
 1996 05 772·
 1996 04 394.
 1996 03 780.
 1996 02 40·
 1996 01 60·
 1995 12  190.
 1995 11  360.
 1995 10  260.
 1995 09  910.
 1995 08  381.
 1995 07  862·
 1995 05  883.
 1995 04  844.
 1995 03  780·
 1995 02  410·
 1995 01  331·
 1994 10 593·
 1994 09 453.
 1993 09  372.
 1993 08  302.
 1993 06  181.
 1993 05  712·
 1993 03  391·
 1993 02  742·
 1993 01  852.
 1992 12 132.
 1991 11  341.
 1991 10  841·
 1991 09  112.
 1991 08  523.
 1991 06  351·
 1991 05  43.
 1991 04  714.
 1991 02  951·
 1991 01  80
 1990 12 32.
 1990 11 662.
 1990 09 741·
 1990 08 312.
 1990 06 753.
 1990 05 215.
 1990 04 44
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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

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      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, Puerto Rican, Women: 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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