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 Series Title: Employment Level: Nonagriculture, Other Industries Wage and Salary Workers, Asian: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 6381·
 2012 03 2355·
 2012 02 2661.
 2012 01 7662·
 2011 12  9962·
 2011 11  2364.
 2011 10  8166·
 2011 09  3371·
 2011 08  2056.
 2011 07  4171·
 2011 06  5697·
 2011 05  787·
 2011 04  7689.
 2011 03  5868·
 2011 02  6352·
 2011 01  4338.
 2010 12 4449.
 2010 11 8153·
 2010 10 4154.
 2010 09 1042·
 2010 08 2358.
 2010 07 4061.
 2010 06 5277·
 2010 05 280.
 2010 04 3862.
 2010 03 9452.
 2010 02 8445·
 2010 01 3749.
 2009 12  4149.
 2009 11  2241.
 2009 10  5143·
 2009 09  6131·
 2009 08  552·
 2009 07  3332·
 2009 06  8928·
 2009 05  4235.
 2009 04  3344.
 2009 03  5843·
 2009 02  6334·
 2009 01  7452·
 2008 12 4957.
 2008 11 5354·
 2008 10 5965.
 2008 09 7759.
 2008 08 463·
 2008 07 050.
 2008 06 9132·
 2008 05 9432.
 2008 04 7257.
 2008 03 557·
 2008 02 9660.
 2008 01 9673.
 2007 12  5578.
 2007 11  177·
 2007 10  3888·
 2007 09  7544·
 2007 08  7836.
 2007 07  4338.
 2007 06  451·
 2007 05  5164.
 2007 04  9157·
 2007 03  1561·
 2007 02  748·
 2007 01  6942.
 2006 12 6940.
 2006 11 2140.
 2006 10 8658·
 2006 09 9765·
 2006 08 1378.
 2006 07 9475.
 2006 06 275·
 2006 05 3065·
 2006 04 4971·
 2006 03 9179.
 2006 02 4575.
 2006 01 8664·
 2005 12  2681.
 2005 11  9353.
 2005 10  2640·
 2005 09  1064.
 2005 08  2163.
 2005 07  669.
 2005 06  8450.
 2005 05  7160·
 2005 04  3354.
 2005 03  6376·
 2005 02  8284·
 2005 01  6370·
 2004 12 8885.
 2004 11 2063.
 2004 10 755·
 2004 09 557.
 2004 08 3662.
 2004 07 5968·
 2004 06 7276·
 2004 05 4257·
 2004 04 5332.
 2004 03 8636.
 2004 02 1648·
 2004 01 4273·
 2003 12  3975·
 2003 11  3381·
 2003 10  048·
 2003 09  036.
 2003 08  2029·
 2003 07  5635·
 2003 06  1445.
 2003 05  3443.
 2003 04  4544·
 2003 03  3868.
 2003 02  7049·
 2003 01  9060.
 2002 12 9141.
 2002 11 8425.
 2002 10 531·
 2002 09 3521.
 2002 08 5727·
 2002 07 2829.
 2002 06 8436.
 2002 05 6536.
 2002 04 6943.
 2002 03 2455·
 2002 02 9255.
 2002 01 9844.
 2001 12  7851.
 2001 11  5544·
 2001 10  4536·
 2001 09  7935.
 2001 08  5841.
 2001 07  2750·
 2001 06  7850·
 2001 05  7648.
 2001 04  1141·
 2001 03  7352.
 2001 02  5647·
 2001 01  8454.
 2000 12 6164·
 2000 11 4853.
 2000 10 6666·
 2000 09 2245·
 2000 08 5941.
 2000 07 3556·
 2000 06 2251.
 2000 05 3455.
 2000 04 8128·
 2000 03 4037.
 2000 02 6044.
 2000 01 9062.
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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: Nonagriculture, Other Industries Wage and Salary Workers, 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

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