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 Series Title: Employment Level: Mexican, Natural Resources, Construction, and Maintenance Occupations: 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 651746·
 2000 02 471764.
 2000 03 61810·
 2000 04 51921.
 2000 05 342058.
 2000 06 852144.
 2000 07 512120·
 2000 08 552176·
 2000 09 22067·
 2000 10 531973·
 2000 11 281869·
 2000 12 351863.
 2001 01  171830·
 2001 02  321892.
 2001 03  511863.
 2001 04  902049·
 2001 05  562153.
 2001 06  282084.
 2001 07  561972·
 2001 08  872002.
 2001 09  192049·
 2001 10  752105.
 2001 11  72115·
 2001 12  222144.
 2002 01 302072.
 2002 02 282093.
 2002 03 921879·
 2002 04 132041.
 2002 05 422068.
 2002 06 682140·
 2002 07 242186·
 2002 08 52044.
 2002 09 282165.
 2002 10 42156·
 2002 11 392063.
 2002 12 661966·
 2003 01  891982·
 2003 02  651999·
 2003 03  32053.
 2003 04  922071·
 2003 05  512186·
 2003 06  92285·
 2003 07  22293.
 2003 08  02458·
 2003 09  652585·
 2003 10  182480·
 2003 11  482215.
 2003 12  362305.
 2004 01 52227·
 2004 02 982260·
 2004 03 812278.
 2004 04 682399·
 2004 05 712485·
 2004 06 812510.
 2004 07 632476.
 2004 08 902498·
 2004 09 902451.
 2004 10 232371·
 2004 11 822529·
 2004 12 232401.
 2005 01  122275·
 2005 02  62406.
 2005 03  502427.
 2005 04  82478·
 2005 05  122640·
 2005 06  372686·
 2005 07  62827·
 2005 08  172854·
 2005 09  902724.
 2005 10  472769·
 2005 11  132783.
 2005 12  432529·
 2006 01 722558·
 2006 02 932698.
 2006 03 582638.
 2006 04 52801·
 2006 05 82874·
 2006 06 562832.
 2006 07 542864·
 2006 08 472834·
 2006 09 742957.
 2006 10 442880·
 2006 11 402926.
 2006 12 382954·
 2007 01  702817.
 2007 02  882928·
 2007 03  772998.
 2007 04  742850·
 2007 05  212914·
 2007 06  452891.
 2007 07  552902.
 2007 08  722839.
 2007 09  782814·
 2007 10  952913.
 2007 11  852946.
 2007 12  762935.
 2008 01 162843.
 2008 02 472788.
 2008 03 62720·
 2008 04 572750.
 2008 05 362625·
 2008 06 302715.
 2008 07 812797.
 2008 08 82762.
 2008 09 632821·
 2008 10 32622.
 2008 11 972519·
 2008 12 482522·
 2009 01  472369.
 2009 02  472327·
 2009 03  682411.
 2009 04  222494·
 2009 05  642407·
 2009 06  682475.
 2009 07  312318·
 2009 08  982263.
 2009 09  142327.
 2009 10  982286·
 2009 11  502279·
 2009 12  712201.
 2010 01 222147.
 2010 02 942188.
 2010 03 112275·
 2010 04 602391.
 2010 05 402455.
 2010 06 372630·
 2010 07 282639.
 2010 08 92511.
 2010 09 412475.
 2010 10 342353·
 2010 11 392397·
 2010 12 872332·
 2011 01  282097.
 2011 02  162332·
 2011 03  72207.
 2011 04  882285.
 2011 05  242397·
 2011 06  412418.
 2011 07  202506.
 2011 08  322514·
 2011 09  812482·
 2011 10  892479·
 2011 11  902597·
 2011 12  622522·
 2012 01 742388·
 2012 02 682293·
 2012 03 562186·
 2012 04 482153·
 2012 05 32224.
 2012 06 102290·
 2012 07 802451·
 2012 08 832450.
 2012 09 942537·
 2012 10 702498·
 2012 11 502365·
 2012 12 882392.
 2013 01  972281·
 2013 02  302332.
 2013 03  802311.
 2013 04  62358.
 2013 05  872486·
 2013 06  972594.
 2013 07  62703·
 2013 08  62596.
 2013 09  662570.
 2013 10  42503·
 2013 11  922525·
 2013 12  822419.
 2014 01 572356.
 2014 02 52535.
 2014 03 262459.
 2014 04 542631·
 2014 05 122785.
 2014 06 842730·
 2014 07 212739·
 2014 08 662723.
 2014 09 62717·
 2014 10 462731.
 2014 11 142831·
 2014 12 872662·
 2015 01  392712.
 2015 02  232776.
 2015 03  692748.
 2015 04  102872·
 2015 05  372720.
 2015 06  722693·
 2015 07  732872.
 2015 08  562792.
 2015 09  502909·
 2015 10  752875.
 2015 11  392896·
 2015 12  672831.
 2016 01 542707.
 2016 02 382759·
 2016 03 52712.
 2016 04 152692·
 2016 05 492778.
 2016 06 932924.
 2016 07 352997·
 2016 08 913066·
 2016 09 603138·
 2016 10 962942·
 2016 11 152944.
 2016 12 172907.
 2017 01  382838·
 2017 02  302718·
 2017 03  592953.
 2017 04  353091·
 2017 05  583235·
 2017 06  03231·


 2017 07  53164.
 2017 08  153179.
 2017 09  203209·
 2017 10  393192·
 2017 11  163289·
 2017 12  513130.
 2018 01 503168·
 2018 02 23096·
 2018 03 793039·
 2018 04 623075.
 2018 05 993100.
 2018 06 723045.
 2018 07 73106·
 2018 08 933071·
 2018 09 413225·
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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: Mexican, Natural Resources, Construction, and Maintenance Occupations: 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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