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 Series Title: Percent Distribution: Employed in Construction and Extraction Occupations, White Men: NSA
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 2000 01 4910.1
 2000 02 589·9
 2000 03 5510·0
 2000 04 910·2
 2000 05 1810·5
 2000 06 7810.8
 2000 07 8911·0
 2000 08 8111.3
 2000 09 6510.9
 2000 10 811·0
 2000 11 3710.8
 2000 12 6510·9
 2001 01  4110·5
 2001 02  3010.4
 2001 03  1110·5
 2001 04  310.7
 2001 05  2211.0
 2001 06  5211·4
 2001 07  4911.8
 2001 08  6611.6
 2001 09  811·6
 2001 10  511.6
 2001 11  1411·4
 2001 12  4811.2
 2002 01 2511·0
 2002 02 4510.9
 2002 03 9510.8
 2002 04 6810.7
 2002 05 2211·0
 2002 06 5511.0
 2002 07 311.0
 2002 08 6911·2
 2002 09 7611.4
 2002 10 4011.5
 2002 11 7711.7
 2002 12 2111.2
 2003 01  8610·9
 2003 02  3310.6
 2003 03  7910·7
 2003 04  1911·1
 2003 05  7811.4
 2003 06  9011.7
 2003 07  9812.0
 2003 08  8012·0
 2003 09  211·8
 2003 10  9311.5
 2003 11  4711.6
 2003 12  5011·4
 2004 01 3411.3
 2004 02 4811.3
 2004 03 6211.4
 2004 04 9811·7
 2004 05 7411.8
 2004 06 8712·5
 2004 07 812·2
 2004 08 1812·4
 2004 09 4812·0
 2004 10 6612.0
 2004 11 7312.2
 2004 12 2811·8
 2005 01  611·7
 2005 02  6812.0
 2005 03  6812·0
 2005 04  7312·2
 2005 05  2312·6
 2005 06  9912.7
 2005 07  3212·6
 2005 08  2312·7
 2005 09  9912.6
 2005 10  9112.6
 2005 11  2712.9
 2005 12  7012·5
 2006 01 6112·3
 2006 02 9912.5
 2006 03 4312.4
 2006 04 3512·6
 2006 05 5912·7
 2006 06 712·9
 2006 07 9112.8
 2006 08 6213·0
 2006 09 6713·0
 2006 10 2012.7
 2006 11 912.6
 2006 12 1912·8
 2007 01  8612·7
 2007 02  7012·8
 2007 03  6112.9
 2007 04  212.5
 2007 05  4212·5
 2007 06  1412·6
 2007 07  3412·7
 2007 08  2812·7
 2007 09  8512.6
 2007 10  3312·9
 2007 11  4112.9
 2007 12  4212.6
 2008 01 9112.2
 2008 02 3511.8
 2008 03 2011·4
 2008 04 1411.5
 2008 05 5911.5
 2008 06 5011·7
 2008 07 3412.1
 2008 08 3712·1
 2008 09 1611·9
 2008 10 3611.7
 2008 11 7111.4
 2008 12 3011·1
 2009 01  1111·0
 2009 02  7310·6
 2009 03  4310.4
 2009 04  3810.6
 2009 05  2010.3
 2009 06  6910.5
 2009 07  8910.4
 2009 08  3010·7
 2009 09  4310.6
 2009 10  5610.8
 2009 11  7110.8
 2009 12  010.3
 2010 01 710·3
 2010 02 8910·0
 2010 03 7810.2
 2010 04 6710·2
 2010 05 6010·5
 2010 06 5110·7
 2010 07 2210·8
 2010 08 7510·8
 2010 09 7910·2
 2010 10 489.9
 2010 11 419·8
 2010 12 949.8
 2011 01  649·6
 2011 02  1110.0
 2011 03  999·9
 2011 04  1710.1
 2011 05  4110·0
 2011 06  9910.2
 2011 07  8210·2
 2011 08  6410.4
 2011 09  5910·3
 2011 10  9110.1
 2011 11  310·5
 2011 12  7910·2
 2012 01 949·7


 2012 02 959.9
 2012 03 29·7
 2012 04 309.6
 2012 05 469·8
 2012 06 439·9
 2012 07 4010·0
 2012 08 1310·0
 2012 09 429.8
 2012 10 919.8
 2012 11 610.0
 2012 12 4610·0
 2013 01  319·8
 2013 02  209·7
 2013 03  129·5
 2013 04  739·4
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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 Construction and Extraction Occupations, White Men: 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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