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 Series Title: Employment Level: Nonagriculture, Private Households Wage and Salary Workers, Asian: NSA
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 2012 04 3668·
 2012 03 8220·
 2012 02 2621.
 2012 01 1918.
 2011 12  3831.
 2011 11  6233·
 2011 10  7323·
 2011 09  8022·
 2011 08  7624.
 2011 07  932.
 2011 06  8931·
 2011 05  824.
 2011 04  9923.
 2011 03  519·
 2011 02  8728·
 2011 01  4829.
 2010 12 8332·
 2010 11 5633·
 2010 10 720.
 2010 09 6920.
 2010 08 2821·
 2010 07 9518.
 2010 06 913·
 2010 05 6411.
 2010 04 6021·
 2010 03 7725·
 2010 02 8329·
 2010 01 5421.
 2009 12  2812.
 2009 11  8520·
 2009 10  4128.
 2009 09  8119·
 2009 08  1025.
 2009 07  2437.
 2009 06  2120·
 2009 05  1624.
 2009 04  427.
 2009 03  2839.
 2009 02  8538.
 2009 01  5235·
 2008 12 3630.
 2008 11 5220·
 2008 10 2318·
 2008 09 926·
 2008 08 5716.
 2008 07 7730.
 2008 06 4631.
 2008 05 3018.
 2008 04 4232.
 2008 03 1221.
 2008 02 9323·
 2008 01 8632.
 2007 12  9135.
 2007 11  8640.
 2007 10  2637·
 2007 09  6942.
 2007 08  3038.
 2007 07  5813.
 2007 06  347.
 2007 05  9914·
 2007 04  1022.
 2007 03  820.
 2007 02  2820·
 2007 01  2130.
 2006 12 434·
 2006 11 4318.
 2006 10 4813·
 2006 09 310.
 2006 08 158.
 2006 07 9615.
 2006 06 5617·
 2006 05 3923·
 2006 04 6740·
 2006 03 2122·
 2006 02 4024.
 2006 01 4919.
 2005 12  1119·
 2005 11  214·
 2005 10  1317·
 2005 09  7715.
 2005 08  2213.
 2005 07  4417.
 2005 06  1216.
 2005 05  9224·
 2005 04  129·
 2005 03  8038·
 2005 02  138·
 2005 01  8833.
 2004 12 7216·
 2004 11 6628·
 2004 10 6718·
 2004 09 8418.
 2004 08 8717.
 2004 07 8314·
 2004 06 2423·
 2004 05 2512.
 2004 04 2018.
 2004 03 3930·
 2004 02 944·
 2004 01 7936.
 2003 12  7222·
 2003 11  6520.
 2003 10  8516.
 2003 09  4132·
 2003 08  6922.
 2003 07  1832·
 2003 06  4125·
 2003 05  2914·
 2003 04  6112.
 2003 03  7815·
 2003 02  8823.
 2003 01  8830·
 2002 12 2316·
 2002 11 5424·
 2002 10 6517.
 2002 09 8814·
 2002 08 5617.
 2002 07 7618.
 2002 06 3414·
 2002 05 2226.
 2002 04 8421·
 2002 03 138.
 2002 02 8436·
 2002 01 931·
 2001 12  5941.
 2001 11  1137.
 2001 10  2838.
 2001 09  9341·
 2001 08  5610·
 2001 07  1219·
 2001 06  323.
 2001 05  4434.
 2001 04  7542·
 2001 03  3737.
 2001 02  7353·
 2001 01  5631.
 2000 12 4240·
 2000 11 4146·
 2000 10 2438.
 2000 09 4821.
 2000 08 722.
 2000 07 618.
 2000 06 7122.
 2000 05 6426.
 2000 04 4536.
 2000 03 4030·
 2000 02 5051·
 2000 01 7326.
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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, Private Households 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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