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 Series Title: Employment Level: Nonagriculture, Government Wage and Salary Workers, Asian: NSA
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 2012 04 92888.
 2012 03 74930·
 2012 02 65943.
 2012 01 18975.
 2011 12  10895·
 2011 11  20851·
 2011 10  28801·
 2011 09  45736.
 2011 08  64748.
 2011 07  32644.
 2011 06  59706·
 2011 05  39722·
 2011 04  2727.
 2011 03  94800.
 2011 02  74794.
 2011 01  45818·
 2010 12 2776·
 2010 11 11732·
 2010 10 9744.
 2010 09 31727.
 2010 08 62743.
 2010 07 15764.
 2010 06 27751·
 2010 05 92806·
 2010 04 10828·
 2010 03 63788·
 2010 02 16754·
 2010 01 47773·
 2009 12  94825.
 2009 11  36814·
 2009 10  90809·
 2009 09  40836.
 2009 08  91823.
 2009 07  41883·
 2009 06  85816.
 2009 05  41757.
 2009 04  1780.
 2009 03  10762·
 2009 02  65798.
 2009 01  43733·
 2008 12 49833·
 2008 11 0823·
 2008 10 19924.
 2008 09 65894.
 2008 08 86850·
 2008 07 91865.
 2008 06 57788·
 2008 05 52777·
 2008 04 86836·
 2008 03 91780·
 2008 02 20811·
 2008 01 73789·
 2007 12  51758.
 2007 11  31796·
 2007 10  69753.
 2007 09  22778.
 2007 08  6831·
 2007 07  69830·
 2007 06  92820·
 2007 05  18793·
 2007 04  1808·
 2007 03  84788.
 2007 02  2813·
 2007 01  5827·
 2006 12 11758.
 2006 11 85758·
 2006 10 38754.
 2006 09 52804.
 2006 08 38758.
 2006 07 3726·
 2006 06 61762.
 2006 05 54713·
 2006 04 5726.
 2006 03 94720.
 2006 02 61723.
 2006 01 30680.
 2005 12  65686.
 2005 11  41713·
 2005 10  49686·
 2005 09  24669.
 2005 08  91676.
 2005 07  49670.
 2005 06  64725·
 2005 05  4791.
 2005 04  85743·
 2005 03  50698.
 2005 02  69743.
 2005 01  66729.
 2004 12 72710.
 2004 11 2743.
 2004 10 51731·
 2004 09 28745.
 2004 08 3771.
 2004 07 85750·
 2004 06 23709·
 2004 05 34726·
 2004 04 52729.
 2004 03 6680·
 2004 02 24691.
 2004 01 53678·
 2003 12  20712.
 2003 11  98753·
 2003 10  15761·
 2003 09  81735.
 2003 08  32719·
 2003 07  16655.
 2003 06  86658·
 2003 05  35632·
 2003 04  40646.
 2003 03  42707·
 2003 02  49696.
 2003 01  60709·
 2002 12 17757.
 2002 11 83770·
 2002 10 42707.
 2002 09 25760·
 2002 08 65738·
 2002 07 71705.
 2002 06 27650·
 2002 05 24700.
 2002 04 10691.
 2002 03 61694·
 2002 02 93722·
 2002 01 77706.
 2001 12  0728.
 2001 11  37766·
 2001 10  52713·
 2001 09  27702.
 2001 08  13653·
 2001 07  4676·
 2001 06  43676.
 2001 05  44771·
 2001 04  48828.
 2001 03  94747.
 2001 02  28674·
 2001 01  22665·
 2000 12 30719.
 2000 11 64810·
 2000 10 95806.
 2000 09 79733·
 2000 08 10638·
 2000 07 95637·
 2000 06 57676·
 2000 05 61707·
 2000 04 64719·
 2000 03 94665·
 2000 02 52581.
 2000 01 35593.
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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, Government 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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