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 Series Title: Percent Distribution: Employed in Natural Resources, Construction, and Maintenance Occupations, Women: NSA
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 2012 04 70.7
 2012 03 530·8
 2012 02 250·8
 2012 01 520.7
 2011 12  840.8
 2011 11  760.8
 2011 10  840·9
 2011 09  940·8
 2011 08  710.9
 2011 07  420·9
 2011 06  870.9
 2011 05  780.9
 2011 04  190·8
 2011 03  310.8
 2011 02  480.9
 2011 01  490.9
 2010 12 30·8
 2010 11 500·9
 2010 10 50.9
 2010 09 750.9
 2010 08 221.0
 2010 07 321.0
 2010 06 190.9
 2010 05 510·9
 2010 04 40·9
 2010 03 330·9
 2010 02 800.9
 2010 01 971.0
 2009 12  970·8
 2009 11  340·9
 2009 10  00.9
 2009 09  550.9
 2009 08  780.9
 2009 07  421.0
 2009 06  171.0
 2009 05  960·9
 2009 04  470.9
 2009 03  890.8
 2009 02  940.8
 2009 01  130.9
 2008 12 290·9
 2008 11 310.9
 2008 10 180·9
 2008 09 260.9
 2008 08 740.9
 2008 07 501.0
 2008 06 41.0
 2008 05 780.9
 2008 04 590·9
 2008 03 530.9
 2008 02 880.9
 2008 01 390.9
 2007 12  831.0
 2007 11  711.0
 2007 10  331·1
 2007 09  31.0
 2007 08  711·0
 2007 07  611·1
 2007 06  280.9
 2007 05  891.0
 2007 04  750.9
 2007 03  40.9
 2007 02  840·9
 2007 01  421·0
 2006 12 701·1
 2006 11 81.2
 2006 10 411.2
 2006 09 291·2
 2006 08 551·3
 2006 07 31.3
 2006 06 621.2
 2006 05 471·1
 2006 04 571.0
 2006 03 470.9
 2006 02 331·0
 2006 01 131·0
 2005 12  251.0
 2005 11  211·1
 2005 10  671·1
 2005 09  721.2
 2005 08  361.2
 2005 07  321.1
 2005 06  41.1
 2005 05  921.1
 2005 04  891.0
 2005 03  111·1
 2005 02  51·0
 2005 01  691·0
 2004 12 101·0
 2004 11 161.1
 2004 10 581·1
 2004 09 211.1
 2004 08 491·1
 2004 07 261.1
 2004 06 771·0
 2004 05 931.0
 2004 04 821·0
 2004 03 510.9
 2004 02 990.9
 2004 01 520.9
 2003 12  91·0
 2003 11  201·0
 2003 10  881·2
 2003 09  951·2
 2003 08  561·1
 2003 07  911.0
 2003 06  301·0
 2003 05  391.0
 2003 04  721.0
 2003 03  451.0
 2003 02  391·0
 2003 01  301·0
 2002 12 341.0
 2002 11 881.0
 2002 10 531·1
 2002 09 351.1
 2002 08 411.1
 2002 07 541·2
 2002 06 351.2
 2002 05 501.1
 2002 04 191·1
 2002 03 971.0
 2002 02 721.0
 2002 01 921·0
 2001 12  191·0
 2001 11  11·1
 2001 10  781·1
 2001 09  81.1
 2001 08  151.3
 2001 07  701.2
 2001 06  901.2
 2001 05  651.1
 2001 04  91·0
 2001 03  381·0
 2001 02  720·8
 2001 01  580·9
 2000 12 251·0
 2000 11 611.0
 2000 10 101.1
 2000 09 51·1
 2000 08 141·2
 2000 07 201·2
 2000 06 191.2
 2000 05 521·2
 2000 04 521.2
 2000 03 221.1
 2000 02 361.1
 2000 01 671·1
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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, Women: 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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