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 Series Title: Employment Level: Construction and Extraction Occupations, Hispanic or Latino: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 41355.
 2000 02 451359·
 2000 03 281410.
 2000 04 981371·
 2000 05 281530.
 2000 06 891619.
 2000 07 551548.
 2000 08 331663.
 2000 09 61566.
 2000 10 181566.
 2000 11 711482·
 2000 12 531550·
 2001 01  881492.
 2001 02  161542.
 2001 03  891579.
 2001 04  41575·
 2001 05  501669·
 2001 06  871751·
 2001 07  451733·
 2001 08  541715·
 2001 09  921728·
 2001 10  651726.
 2001 11  41746.
 2001 12  981822.
 2002 01 401769·
 2002 02 51805·
 2002 03 531702·
 2002 04 551669.
 2002 05 431725·
 2002 06 891756·
 2002 07 41696·
 2002 08 681718·
 2002 09 771824.
 2002 10 241808.
 2002 11 961846.
 2002 12 71723·
 2003 01  431697·
 2003 02  411654.
 2003 03  921784.
 2003 04  671832·
 2003 05  661885·
 2003 06  972031·
 2003 07  801947·
 2003 08  662075.
 2003 09  962091.
 2003 10  752066.
 2003 11  722009·
 2003 12  482038.
 2004 01 91941.
 2004 02 791914·
 2004 03 62021.
 2004 04 832088·
 2004 05 52149.
 2004 06 432251·
 2004 07 452170.
 2004 08 642152.
 2004 09 102164·
 2004 10 222133.
 2004 11 782338·
 2004 12 122208·
 2005 01  732173·
 2005 02  992338.
 2005 03  162344.
 2005 04  692329.
 2005 05  712396·
 2005 06  792438·
 2005 07  982526·
 2005 08  62522.
 2005 09  42526·
 2005 10  952578·
 2005 11  872701·
 2005 12  162525.
 2006 01 962522.
 2006 02 42689.
 2006 03 712693·
 2006 04 182876·
 2006 05 992881.
 2006 06 862801.
 2006 07 632720·
 2006 08 562714·
 2006 09 882903·
 2006 10 482842·
 2006 11 992867·
 2006 12 12970·
 2007 01  642789·
 2007 02  232922.
 2007 03  443003·
 2007 04  452953.
 2007 05  502913·
 2007 06  672876.
 2007 07  862839.
 2007 08  92826.
 2007 09  992741·
 2007 10  612766·
 2007 11  362826.
 2007 12  352754·
 2008 01 862636·
 2008 02 122614.
 2008 03 342605·
 2008 04 942659.
 2008 05 102536.
 2008 06 522630.
 2008 07 412659.
 2008 08 792588·
 2008 09 972607·
 2008 10 372488·
 2008 11 462391.
 2008 12 92352.
 2009 01  982205·
 2009 02  492025·
 2009 03  622101·
 2009 04  292198·
 2009 05  882120.
 2009 06  952247.
 2009 07  262138.
 2009 08  92096.
 2009 09  682174·
 2009 10  62152.
 2009 11  22058.
 2009 12  411958·
 2010 01 621957·
 2010 02 381947·
 2010 03 772044.
 2010 04 452113·
 2010 05 212154.
 2010 06 752296·
 2010 07 642283·
 2010 08 652204.
 2010 09 212112.
 2010 10 221933.
 2010 11 22043·
 2010 12 711993.
 2011 01  621859·
 2011 02  101965.
 2011 03  521990·
 2011 04  562018.
 2011 05  692041·
 2011 06  972076·
 2011 07  42155·
 2011 08  402221·
 2011 09  932198·
 2011 10  642143.
 2011 11  692302·
 2011 12  672173·
 2012 01 91983·


 2012 02 181983.
 2012 03 861980.
 2012 04 61911.
 2012 05 181953·
 2012 06 901922·
 2012 07 172028·
 2012 08 502125.
 2012 09 442112·
 2012 10 372128.
 2012 11 512119.
 2012 12 202081.
 2013 01  392048.
 2013 02  412098.
 2013 03  12129·
 2013 04  602132.
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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: Employment Level: Construction and Extraction Occupations, Hispanic or Latino: 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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