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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 641746.
 2000 02 321764.
 2000 03 261810.
 2000 04 701921.
 2000 05 82058·
 2000 06 892144·
 2000 07 612120·
 2000 08 62176·
 2000 09 822067·
 2000 10 71973.
 2000 11 601869.
 2000 12 21863.
 2001 01  341830.
 2001 02  681892.
 2001 03  351863·
 2001 04  42049·
 2001 05  412153·
 2001 06  792084·
 2001 07  241972.
 2001 08  812002·
 2001 09  22049·
 2001 10  702105·
 2001 11  902115.
 2001 12  262144.
 2002 01 452072·
 2002 02 982093·
 2002 03 211879·
 2002 04 582041.
 2002 05 182068.
 2002 06 462140·
 2002 07 302186·
 2002 08 232044.
 2002 09 972165·
 2002 10 202156.
 2002 11 552063·
 2002 12 881966.
 2003 01  831982.
 2003 02  511999·
 2003 03  582053·
 2003 04  492071·
 2003 05  12186·
 2003 06  962285·
 2003 07  282293·
 2003 08  242458.
 2003 09  12585·
 2003 10  372480.
 2003 11  772215.
 2003 12  582305.
 2004 01 592227.
 2004 02 802260.
 2004 03 442278.
 2004 04 192399·
 2004 05 752485·
 2004 06 572510.
 2004 07 902476·
 2004 08 12498.
 2004 09 742451·
 2004 10 252371.
 2004 11 52529.
 2004 12 252401·
 2005 01  82275·
 2005 02  662406.
 2005 03  12427.
 2005 04  332478·
 2005 05  502640·
 2005 06  852686·
 2005 07  162827·
 2005 08  962854.
 2005 09  32724·
 2005 10  152769.
 2005 11  122783·
 2005 12  72529·
 2006 01 902558·
 2006 02 112698.
 2006 03 792638.
 2006 04 852801.
 2006 05 632874.
 2006 06 572832.
 2006 07 272864·
 2006 08 752834·
 2006 09 972957.
 2006 10 592880·
 2006 11 962926·
 2006 12 462954·
 2007 01  932817·
 2007 02  472928·
 2007 03  492998.
 2007 04  922850.
 2007 05  742914.
 2007 06  792891·
 2007 07  732902·
 2007 08  312839·
 2007 09  932814.
 2007 10  372913.
 2007 11  812946.
 2007 12  92935.
 2008 01 242843.
 2008 02 272788.
 2008 03 102720·
 2008 04 932750·
 2008 05 692625·
 2008 06 802715·
 2008 07 252797.
 2008 08 802762.
 2008 09 512821.
 2008 10 542622·
 2008 11 132519.
 2008 12 862522.
 2009 01  222369.
 2009 02  302327·
 2009 03  862411.
 2009 04  582494·
 2009 05  572407·
 2009 06  142475.
 2009 07  832318.
 2009 08  632263.
 2009 09  562327.
 2009 10  392286·
 2009 11  662279·
 2009 12  962201·
 2010 01 452147·
 2010 02 602188.
 2010 03 232275·
 2010 04 772391·
 2010 05 742455.
 2010 06 602630·
 2010 07 682639·
 2010 08 482511.
 2010 09 192475.
 2010 10 462353.
 2010 11 382397.
 2010 12 802332·
 2011 01  802097.
 2011 02  482332·
 2011 03  962207·
 2011 04  662285·
 2011 05  822397.
 2011 06  232418·
 2011 07  302506·
 2011 08  272514.
 2011 09  762482·
 2011 10  542479.
 2011 11  532597.
 2011 12  52522·
 2012 01 372388·
 2012 02 472293.
 2012 03 22186·
 2012 04 692153.
 2012 05 652224·
 2012 06 322290.
 2012 07 412451.
 2012 08 152450.
 2012 09 872537.
 2012 10 682498·
 2012 11 572365·
 2012 12 622392·
 2013 01  512281.
 2013 02  362332.
 2013 03  642311.
 2013 04  522358.
 2013 05  352486·
 2013 06  422594·
 2013 07  992703·
 2013 08  562596·
 2013 09  372570.
 2013 10  172503·
 2013 11  252525.
 2013 12  682419.
 2014 01 842356·
 2014 02 202535·
 2014 03 302459.
 2014 04 62631.
 2014 05 262785·
 2014 06 312730.
 2014 07 272739·
 2014 08 162723.
 2014 09 382717·
 2014 10 562731·
 2014 11 542831·
 2014 12 652662·
 2015 01  202712.
 2015 02  282776·
 2015 03  742748·
 2015 04  492872.
 2015 05  992720.
 2015 06  32693.
 2015 07  742872.
 2015 08  862792·
 2015 09  242909.
 2015 10  632875·
 2015 11  682896.
 2015 12  212831.
 2016 01 712707.
 2016 02 152759·
 2016 03 932712·
 2016 04 222692·
 2016 05 402778·
 2016 06 892924·
 2016 07 132997·
 2016 08 843066.
 2016 09 573138.
 2016 10 432942·
 2016 11 142944·
 2016 12 262907.
 2017 01  712838·
 2017 02  592718·
 2017 03  112953.
 2017 04  913091·


 2017 05  593235·
 2017 06  423231·
 2017 07  403164.
 2017 08  513179·
 2017 09  213209·
 2017 10  263192·
 2017 11  663289.
 2017 12  973130.
 2018 01 823168·
 2018 02 653096.
 2018 03 753039·
 2018 04 503075·
 2018 05 933100.
 2018 06 423045.
 2018 07 803106·
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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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