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 Series Title: Percent Distribution: Employed in Natural Resources, Construction, and Maintenance Occupations, Asian Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 145·9
 2012 03 875·2
 2012 02 765.7
 2012 01 656·3
 2011 12  626.5
 2011 11  776·3
 2011 10  226.9
 2011 09  396.8
 2011 08  516·1
 2011 07  407.0
 2011 06  436.4
 2011 05  876·1
 2011 04  336·2
 2011 03  586.9
 2011 02  536.7
 2011 01  526.4
 2010 12 816.3
 2010 11 387.1
 2010 10 906.5
 2010 09 45·8
 2010 08 976.2
 2010 07 116·8
 2010 06 167.1
 2010 05 387·1
 2010 04 66.6
 2010 03 357·4
 2010 02 207.0
 2010 01 726·6
 2009 12  586·4
 2009 11  906.3
 2009 10  156·9
 2009 09  507·4
 2009 08  297·6
 2009 07  837.0
 2009 06  377·7
 2009 05  417·9
 2009 04  197.6
 2009 03  467.7
 2009 02  516.5
 2009 01  406.2
 2008 12 536.8
 2008 11 366.4
 2008 10 437·2
 2008 09 667·1
 2008 08 837.4
 2008 07 347·6
 2008 06 286·5
 2008 05 636.9
 2008 04 828·0
 2008 03 477·9
 2008 02 437.5
 2008 01 06·6
 2007 12  526·7
 2007 11  77.4
 2007 10  508.1
 2007 09  717·8
 2007 08  187.2
 2007 07  697·4
 2007 06  377.4
 2007 05  967·6
 2007 04  317.0
 2007 03  176·7
 2007 02  197·7
 2007 01  187·3
 2006 12 657·3
 2006 11 567.9
 2006 10 318·6
 2006 09 78.5
 2006 08 228·9
 2006 07 187·9
 2006 06 387·4
 2006 05 566.4
 2006 04 265·8
 2006 03 596.9
 2006 02 277.9
 2006 01 867·2
 2005 12  287.6
 2005 11  637·2
 2005 10  117.6
 2005 09  399·2
 2005 08  47.7
 2005 07  347·7
 2005 06  287.8
 2005 05  867.3
 2005 04  537.2
 2005 03  47.6
 2005 02  417.2
 2005 01  197.5
 2004 12 17·9
 2004 11 316.5
 2004 10 386.7
 2004 09 607·9
 2004 08 997.9
 2004 07 968.6
 2004 06 318.5
 2004 05 516.9
 2004 04 226·7
 2004 03 66.9
 2004 02 597·3
 2004 01 628·4
 2003 12  707.9
 2003 11  917·3
 2003 10  846.5
 2003 09  867.5
 2003 08  697.7
 2003 07  107.5
 2003 06  946.5
 2003 05  446·4
 2003 04  696·1
 2003 03  436·4
 2003 02  36·2
 2003 01  796·3
 2002 12 467.6
 2002 11 978·9
 2002 10 477·9
 2002 09 607.6
 2002 08 997.6
 2002 07 47·1
 2002 06 917.6
 2002 05 826·1
 2002 04 556·5
 2002 03 207.5
 2002 02 217·3
 2002 01 637·9
 2001 12  636·9
 2001 11  277.0
 2001 10  517·5
 2001 09  487·6
 2001 08  09.1
 2001 07  328.4
 2001 06  198.3
 2001 05  67·3
 2001 04  657.7
 2001 03  676·6
 2001 02  876·6
 2001 01  316·0
 2000 12 837·3
 2000 11 877.8
 2000 10 449·5
 2000 09 429·0
 2000 08 610·0
 2000 07 759·0
 2000 06 28·7
 2000 05 848·6
 2000 04 97·3
 2000 03 376.2
 2000 02 997.0
 2000 01 256·0
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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: Percent Distribution: Employed in Natural Resources, Construction, and Maintenance Occupations, Asian Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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