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 Series Title: Employment Level: Agriculture, Self-employed Workers, Unincorporated, Asian: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 02.
 2012 03 937.
 2012 02 1017·
 2012 01 2711·
 2011 12  488.
 2011 11  755.
 2011 10  148·
 2011 09  38.
 2011 08  569.
 2011 07  4913·
 2011 06  1415.
 2011 05  719·
 2011 04  75
 2011 03  960·
 2011 02  216.
 2011 01  752·
 2010 12 791.
 2010 11 258·
 2010 10 733·
 2010 09 853.
 2010 08 708.
 2010 07 654·
 2010 06 34
 2010 05 957·
 2010 04 7314·
 2010 03 748·
 2010 02 91
 2010 01 241.
 2009 12  374.
 2009 11  345·
 2009 10  574.
 2009 09  165·
 2009 08  396.
 2009 07  517.
 2009 06  7011·
 2009 05  406.
 2009 04  791.
 2009 03  561.
 2009 02  93
 2009 01  9111.
 2008 12 828.
 2008 11 711.
 2008 10 1410.
 2008 09 877.
 2008 08 997.
 2008 07 857.
 2008 06 455.
 2008 05 734·
 2008 04 44·
 2008 03 964·
 2008 02 255.
 2008 01 18
 2007 12  994·
 2007 11  724.
 2007 10  1611·
 2007 09  157.
 2007 08  98·
 2007 07  716.
 2007 06  73·
 2007 05  858.
 2007 04  847.
 2007 03  731.
 2007 02  108·
 2006 11 711.
 2006 10 05.
 2006 09 8512·
 2006 08 6322·
 2006 07 4219.
 2006 06 5617·
 2006 05 3911.
 2006 04 2911.
 2006 03 9313.
 2006 02 7910.
 2006 01 925·
 2005 12  965·
 2005 11  433.
 2005 10  19
 2005 09  2517.
 2005 08  7711·
 2005 07  3513.
 2005 06  5010·
 2005 05  449·
 2005 04  1012·
 2005 03  407.
 2005 02  747.
 2005 01  8210.
 2004 12 578.
 2004 11 506.
 2004 10 165.
 2004 09 954.
 2004 08 71.
 2004 07 861·
 2004 06 271.
 2004 05 648·
 2004 04 729·
 2004 03 918·
 2004 02 8110·
 2004 01 9715.
 2003 12  906.
 2003 11  347.
 2003 10  799.
 2003 09  253.
 2003 08  241.
 2003 07  102.
 2003 06  471.
 2003 05  49.
 2003 04  6312·
 2003 03  3815·
 2003 02  3411.
 2003 01  166.
 2002 12 187·
 2002 11 6217.
 2002 10 1717.
 2002 09 6911·
 2002 08 2813·
 2002 07 51
 2002 06 9510.
 2002 05 9314·
 2002 04 5629.
 2002 03 9927.
 2002 02 9417·
 2002 01 4522·
 2001 12  895·
 2001 11  2617·
 2001 10  6518·
 2001 09  713·
 2001 08  4114.
 2001 07  757·
 2001 06  8312·
 2001 05  8510·
 2001 04  509·
 2001 03  1510·
 2001 02  474·
 2001 01  124.
 2000 12 7716·
 2000 11 4218.
 2000 10 8512·
 2000 09 4315·
 2000 08 1212·
 2000 07 73
 2000 06 456·
 2000 05 602.
 2000 04 673.
 2000 03 533·
 2000 02 45.
 2000 01 71
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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, Self-employed Workers, Unincorporated, Asian: 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

Want to know how State economies fared during the Clinton Administration? Use the Reporter.

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