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 Series Title: Employment Level: Construction and Extraction Occupations, Mexican: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 521015·
 2000 02 251019.
 2000 03 891067.
 2000 04 951046·
 2000 05 221132.
 2000 06 471220·
 2000 07 521176.
 2000 08 481222.
 2000 09 271208·
 2000 10 361183·
 2000 11 861110·
 2000 12 691138.
 2001 01  171126.
 2001 02  741189.
 2001 03  21168.
 2001 04  11210·
 2001 05  681260·
 2001 06  681254·
 2001 07  381203.
 2001 08  141186.
 2001 09  801217·
 2001 10  481279.
 2001 11  581362.
 2001 12  11414.
 2002 01 791374·
 2002 02 731401·
 2002 03 491238·
 2002 04 831252·
 2002 05 151303.
 2002 06 231299·
 2002 07 241265.
 2002 08 31229·
 2002 09 641301·
 2002 10 51322·
 2002 11 211422.
 2002 12 301287.
 2003 01  251239·
 2003 02  501198·
 2003 03  31246.
 2003 04  581304·
 2003 05  251370.
 2003 06  161489·
 2003 07  571452·
 2003 08  71528.
 2003 09  131544·
 2003 10  841509·
 2003 11  981445·
 2003 12  211509·
 2004 01 651462·
 2004 02 611493.
 2004 03 621493·
 2004 04 681564.
 2004 05 811640.
 2004 06 781711.
 2004 07 121668.
 2004 08 441604.
 2004 09 881590.
 2004 10 911529.
 2004 11 371672.
 2004 12 661625.
 2005 01  341580.
 2005 02  841681·
 2005 03  491659·
 2005 04  801696·
 2005 05  961811·
 2005 06  611823·
 2005 07  861936.
 2005 08  541911.
 2005 09  741863·
 2005 10  551946·
 2005 11  111946·
 2005 12  831804.
 2006 01 931825.
 2006 02 231935.
 2006 03 121938.
 2006 04 852026.
 2006 05 42054.
 2006 06 461984·
 2006 07 22007·
 2006 08 51998.
 2006 09 822119·
 2006 10 312067.
 2006 11 182138.
 2006 12 122195.
 2007 01  282082·
 2007 02  92151·
 2007 03  252219.
 2007 04  02132·
 2007 05  672159·
 2007 06  372096·
 2007 07  82067·
 2007 08  892029.
 2007 09  481963.
 2007 10  972067.
 2007 11  822102.
 2007 12  212082·
 2008 01 491958.
 2008 02 951927.
 2008 03 841862·
 2008 04 681911.
 2008 05 691817.
 2008 06 631921.
 2008 07 781982.
 2008 08 221923.
 2008 09 331921.
 2008 10 571790.
 2008 11 501742·
 2008 12 21741.
 2009 01  921611·
 2009 02  601536·
 2009 03  141604.
 2009 04  541640.
 2009 05  211559·
 2009 06  781625·
 2009 07  91491.
 2009 08  461491.
 2009 09  211522·
 2009 10  421535·
 2009 11  951505.
 2009 12  711416·
 2010 01 161420.
 2010 02 91448·
 2010 03 631499·
 2010 04 511563.
 2010 05 591545·
 2010 06 611671·
 2010 07 241646·
 2010 08 271561.
 2010 09 231500·
 2010 10 51379·
 2010 11 161466·
 2010 12 711435·
 2011 01  91359·
 2011 02  721504·
 2011 03  31446·
 2011 04  751504.
 2011 05  431485·
 2011 06  181505·
 2011 07  711520·
 2011 08  591590·
 2011 09  751569·
 2011 10  261569.
 2011 11  351699.
 2011 12  671618.
 2012 01 801481·
 2012 02 21420.
 2012 03 321409.
 2012 04 681363.
 2012 05 591408·
 2012 06 771401·
 2012 07 241475·
 2012 08 571526·
 2012 09 371529.
 2012 10 91500·
 2012 11 11469.
 2012 12 521478.
 2013 01  651475·
 2013 02  781506.
 2013 03  731494.
 2013 04  981503·
 2013 05  171548.
 2013 06  921728·
 2013 07  811719·
 2013 08  631625·
 2013 09  951615·
 2013 10  831517·
 2013 11  861607·
 2013 12  431598·
 2014 01 241507.
 2014 02 61714·
 2014 03 761678.
 2014 04 551778.
 2014 05 531842.
 2014 06 441757.
 2014 07 641780·
 2014 08 451742.
 2014 09 601726·
 2014 10 21757.
 2014 11 881833·
 2014 12 811751.
 2015 01  431689·
 2015 02  141746.
 2015 03  111687·
 2015 04  571861.
 2015 05  281787·
 2015 06  351660·
 2015 07  221786·
 2015 08  931702·
 2015 09  661737.
 2015 10  471744·
 2015 11  311809·
 2015 12  331787.
 2016 01 321729·
 2016 02 571814·
 2016 03 791730·
 2016 04 451760·
 2016 05 271790.
 2016 06 961868.
 2016 07 271891.
 2016 08 251887.
 2016 09 752001·
 2016 10 211857.
 2016 11 631913·
 2016 12 911967·
 2017 01  281860·
 2017 02  131770.
 2017 03  11861·
 2017 04  872022.


 2017 05  602170·
 2017 06  802134·
 2017 07  782064.
 2017 08  822054·
 2017 09  722004·
 2017 10  532049.
 2017 11  572200.
 2017 12  712134·
 2018 01 902228·
 2018 02 882049·
 2018 03 262019·
 2018 04 732088.
 2018 05 632035·
 2018 06 682022·
 2018 07 981956.
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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, Mexican: 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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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