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 Series Title: Percent Distribution: Employed in Construction and Extraction Occupations, Hispanic or Latino Women: NSA
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 2012 04 880·3
 2012 03 730·3
 2012 02 410.3
 2012 01 190·3
 2011 12  600·3
 2011 11  160.5
 2011 10  450·4
 2011 09  320.2
 2011 08  420·3
 2011 07  20·3
 2011 06  940·3
 2011 05  860.3
 2011 04  850.4
 2011 03  120·3
 2011 02  00.5
 2011 01  270.5
 2010 12 640·4
 2010 11 520·5
 2010 10 10·3
 2010 09 240·3
 2010 08 790·4
 2010 07 540·3
 2010 06 610·2
 2010 05 710.2
 2010 04 560.2
 2010 03 750.2
 2010 02 670·4
 2010 01 860·4
 2009 12  450·1
 2009 11  960·3
 2009 10  330.5
 2009 09  150.4
 2009 08  210·3
 2009 07  240.3
 2009 06  950·3
 2009 05  260.3
 2009 04  850.3
 2009 03  920·3
 2009 02  170.2
 2009 01  130·4
 2008 12 620.4
 2008 11 540·5
 2008 10 870.4
 2008 09 960·3
 2008 08 30·4
 2008 07 930.4
 2008 06 180.4
 2008 05 190.4
 2008 04 830·5
 2008 03 160.3
 2008 02 470·4
 2008 01 500.6
 2007 12  20.7
 2007 11  550·7
 2007 10  380·7
 2007 09  850·3
 2007 08  860.7
 2007 07  650·4
 2007 06  780·5
 2007 05  410.7
 2007 04  860.7
 2007 03  290.3
 2007 02  800·5
 2007 01  640·6
 2006 12 751.1
 2006 11 531.0
 2006 10 820·9
 2006 09 221.0
 2006 08 560.9
 2006 07 690·6
 2006 06 470·8
 2006 05 100.9
 2006 04 530·9
 2006 03 330·9
 2006 02 640·6
 2006 01 460.8
 2005 12  170·6
 2005 11  270·8
 2005 10  440.7
 2005 09  750.6
 2005 08  230.6
 2005 07  580.7
 2005 06  260·8
 2005 05  660.7
 2005 04  710.7
 2005 03  580.5
 2005 02  720·6
 2005 01  130.6
 2004 12 870.4
 2004 11 820.4
 2004 10 710·3
 2004 09 360·4
 2004 08 220·6
 2004 07 140.5
 2004 06 350·5
 2004 05 770·2
 2004 04 500.3
 2004 03 580·4
 2004 02 20·4
 2004 01 80.5
 2003 12  720·6
 2003 11  480.3
 2003 10  360.5
 2003 09  200.6
 2003 08  140·5
 2003 07  390.5
 2003 06  240·6
 2003 05  350.5
 2003 04  260.5
 2003 03  130.4
 2003 02  780·4
 2003 01  960·6
 2002 12 830.8
 2002 11 770·7
 2002 10 380.6
 2002 09 710.6
 2002 08 850·3
 2002 07 630.4
 2002 06 650·5
 2002 05 560.3
 2002 04 590·3
 2002 03 270.3
 2002 02 470.3
 2002 01 690.4
 2001 12  540·5
 2001 11  500·4
 2001 10  980·6
 2001 09  550.6
 2001 08  460.7
 2001 07  400·4
 2001 06  560.5
 2001 05  820.3
 2001 04  350·4
 2001 03  280·6
 2001 02  830.3
 2001 01  460·3
 2000 12 460·4
 2000 11 710.3
 2000 10 670.5
 2000 09 640.6
 2000 08 310·6
 2000 07 510.6
 2000 06 210·5
 2000 05 810.5
 2000 04 640.4
 2000 03 730·3
 2000 02 830.3
 2000 01 660·2
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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, Hispanic or Latino 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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