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 Series Title: Employment Level: Asian, Natural Resources, Construction, and Maintenance Occupations: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 97195·
 2000 02 40229·
 2000 03 87201.
 2000 04 53243·
 2000 05 77300.
 2000 06 1318.
 2000 07 68322·
 2000 08 51341·
 2000 09 5329.
 2000 10 41346.
 2000 11 30290.
 2000 12 29295.
 2001 01  30210·
 2001 02  42255.
 2001 03  88250·
 2001 04  31283.
 2001 05  29270·
 2001 06  12318·
 2001 07  78322.
 2001 08  26330·
 2001 09  2280·
 2001 10  81269.
 2001 11  64245·
 2001 12  8242.
 2002 01 74276.
 2002 02 7271·
 2002 03 34280·
 2002 04 97253.
 2002 05 95227·
 2002 06 70279·
 2002 07 1266·
 2002 08 36283.
 2002 09 42288·
 2002 10 78305.
 2002 11 2327.
 2002 12 96281·
 2003 01  13206.
 2003 02  62201·
 2003 03  1207.
 2003 04  69201·
 2003 05  36207.
 2003 06  79200·
 2003 07  85241·
 2003 08  75264·
 2003 09  59264·
 2003 10  10234·
 2003 11  67246·
 2003 12  58271·
 2004 01 59285·
 2004 02 63246.
 2004 03 85239.
 2004 04 88234.
 2004 05 36245·
 2004 06 68301.
 2004 07 2299.
 2004 08 58279·
 2004 09 15276·
 2004 10 83232.
 2004 11 5229·
 2004 12 88272.
 2005 01  47263.
 2005 02  89260·
 2005 03  9272.
 2005 04  21263.
 2005 05  7268·
 2005 06  92277.
 2005 07  50288.
 2005 08  28289.
 2005 09  95326·
 2005 10  25277·
 2005 11  92258.
 2005 12  1281·
 2006 01 37273.
 2006 02 44298·
 2006 03 22268·
 2006 04 61218·
 2006 05 84247·
 2006 06 30288.
 2006 07 54304.
 2006 08 50342.
 2006 09 10322·
 2006 10 91327·
 2006 11 24290.
 2006 12 40279.
 2007 01  16277.
 2007 02  57298·
 2007 03  97277.
 2007 04  23283.
 2007 05  27312·
 2007 06  86312·
 2007 07  60308·
 2007 08  18300.
 2007 09  94319·
 2007 10  59323.
 2007 11  25305.
 2007 12  71268·
 2008 01 93259.
 2008 02 83288·
 2008 03 31312.
 2008 04 49313·
 2008 05 23280.
 2008 06 90267.
 2008 07 41308·
 2008 08 48294.
 2008 09 9279·
 2008 10 35284·
 2008 11 43252·
 2008 12 86278·
 2009 01  4246.
 2009 02  2250·
 2009 03  49290.
 2009 04  7287.
 2009 05  81283.
 2009 06  95288·
 2009 07  97259·
 2009 08  81283·
 2009 09  41269.
 2009 10  48253·
 2009 11  50232·
 2009 12  1245.
 2010 01 10258.
 2010 02 16271.
 2010 03 97294·
 2010 04 88254.
 2010 05 37269·
 2010 06 82276·
 2010 07 50267.
 2010 08 84246.
 2010 09 99228.
 2010 10 51247·
 2010 11 46278.
 2010 12 60247.
 2011 01  96253·
 2011 02  57270·
 2011 03  49270·
 2011 04  9242.
 2011 05  52252·
 2011 06  54254·
 2011 07  47285·
 2011 08  50258.
 2011 09  20276.
 2011 10  25277·
 2011 11  52247·
 2011 12  28244.
 2012 01 73257.
 2012 02 77233·


 2012 03 3226.
 2012 04 11253·
 2012 05 12279.
 2012 06 41288·
 2012 07 62286·
 2012 08 95273.
 2012 09 63317·
 2012 10 73321.
 2012 11 18293·
 2012 12 97262.
 2013 01  76214·
 2013 02  57272·
 2013 03  82265.
 2013 04  63274.
 2013 05  26321·
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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: Asian, Natural Resources, Construction, and Maintenance Occupations: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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