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 Series Title: Percent Distribution: Employed in Natural Resources, Construction, and Maintenance Occupations, White Men: NSA
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 2012 04 8817·1
 2012 03 8317.2
 2012 02 4017.3
 2012 01 3017·3
 2011 12  5018·0
 2011 11  9618·4
 2011 10  6818·0
 2011 09  9618.3
 2011 08  9118.3
 2011 07  2018·2
 2011 06  1017·9
 2011 05  7417.7
 2011 04  6117.7
 2011 03  3617·6
 2011 02  7717.7
 2011 01  617.2
 2010 12 3617·6
 2010 11 5217.5
 2010 10 918.0
 2010 09 6318·3
 2010 08 1618·8
 2010 07 9818.9
 2010 06 6818·5
 2010 05 3818.5
 2010 04 2618.2
 2010 03 3218·0
 2010 02 4217·7
 2010 01 5117.7
 2009 12  1717.7
 2009 11  3618·4
 2009 10  4418.1
 2009 09  4618.3
 2009 08  6418.5
 2009 07  1518.1
 2009 06  1218.4
 2009 05  9318·4
 2009 04  6818.6
 2009 03  118·5
 2009 02  818.4
 2009 01  8418.8
 2008 12 5419.1
 2008 11 5219·2
 2008 10 2119·4
 2008 09 3919.6
 2008 08 7219·7
 2008 07 4819.8
 2008 06 6319.5
 2008 05 319.4
 2008 04 9819.2
 2008 03 9719.0
 2008 02 7319·4
 2008 01 4519.9
 2007 12  3220·3
 2007 11  3020.7
 2007 10  1320.8
 2007 09  5820.6
 2007 08  9920·5
 2007 07  320·6
 2007 06  7020.5
 2007 05  6220.3
 2007 04  5120·0
 2007 03  9920·3
 2007 02  5920.5
 2007 01  120.2
 2006 12 6120·4
 2006 11 2420·5
 2006 10 1720.8
 2006 09 4421·1
 2006 08 3221·1
 2006 07 920·9
 2006 06 720.8
 2006 05 8520.8
 2006 04 8720·7
 2006 03 1120.3
 2006 02 1620.4
 2006 01 4420.2
 2005 12  7820·2
 2005 11  1320·8
 2005 10  5720·9
 2005 09  6520·8
 2005 08  8020.8
 2005 07  1920.4
 2005 06  7020.4
 2005 05  1620.4
 2005 04  9320·2
 2005 03  6320·0
 2005 02  1519.8
 2005 01  9219·7
 2004 12 4319.9
 2004 11 120.2
 2004 10 8219.9
 2004 09 1219·8
 2004 08 8020·2
 2004 07 1419.9
 2004 06 8320.1
 2004 05 2019·5
 2004 04 7919.4
 2004 03 919·2
 2004 02 5519·4
 2004 01 8519·3
 2003 12  4119·3
 2003 11  1819.8
 2003 10  6320·0
 2003 09  220.3
 2003 08  9220.3
 2003 07  9819·9
 2003 06  9419.5
 2003 05  8919·2
 2003 04  8118·7
 2003 03  2918.7
 2003 02  6018.7
 2003 01  9118·9
 2002 12 8319·2
 2002 11 1919.2
 2002 10 9919·2
 2002 09 7719·1
 2002 08 118·6
 2002 07 9918·4
 2002 06 7618·3
 2002 05 4018.3
 2002 04 5818.1
 2002 03 2618.0
 2002 02 7618.1
 2002 01 118.3
 2001 12  518·6
 2001 11  8118·9
 2001 10  1419.3
 2001 09  319.3
 2001 08  1819·3
 2001 07  7219·4
 2001 06  2719.0
 2001 05  1518.8
 2001 04  9718·5
 2001 03  3018·3
 2001 02  7817·8
 2001 01  3218.0
 2000 12 6718·4
 2000 11 1118.4
 2000 10 5518.9
 2000 09 7319·0
 2000 08 7819.4
 2000 07 9719·2
 2000 06 7018.8
 2000 05 8118·3
 2000 04 717.9
 2000 03 9517.6
 2000 02 6217·8
 2000 01 2717.8
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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, White Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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