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 Series Title: Employment Level: Construction and Extraction Occupations in Manufacturing Industry: 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 18412.
 2000 02 86458·
 2000 03 48444·
 2000 04 38496·
 2000 05 14530.
 2000 06 36528.
 2000 07 66485.
 2000 08 97454.
 2000 09 1425.
 2000 10 9388.
 2000 11 10356.
 2000 12 80400·
 2001 01  30403·
 2001 02  87408.
 2001 03  93447·
 2001 04  30470.
 2001 05  76473.
 2001 06  77497.
 2001 07  53446·
 2001 08  18421.
 2001 09  40388.
 2001 10  11345·
 2001 11  52376·
 2001 12  36411·
 2002 01 46369.
 2002 02 44405.
 2002 03 78421·
 2002 04 5401·
 2002 05 46437.
 2002 06 60439·
 2002 07 45422.
 2002 08 69397·
 2002 09 15390·
 2002 10 63384.
 2002 11 90372·
 2002 12 95387·
 2003 01  52358·
 2003 02  87379·
 2003 03  77380·
 2003 04  80331·
 2003 05  84340·
 2003 06  87355.
 2003 07  92363·
 2003 08  41375.
 2003 09  61376·
 2003 10  45309·
 2003 11  49306.
 2003 12  23334·
 2004 01 58325.
 2004 02 68315·
 2004 03 86293·
 2004 04 95287.
 2004 05 76321·
 2004 06 88319.
 2004 07 66359·
 2004 08 51385·
 2004 09 40387·
 2004 10 61354·
 2004 11 76357·
 2004 12 11357.
 2005 01  0328·
 2005 02  68295.
 2005 03  30318.
 2005 04  18264·
 2005 05  32287.
 2005 06  17320.
 2005 07  66338.
 2005 08  42349·
 2005 09  36322·
 2005 10  39372.
 2005 11  45388.
 2005 12  77382·
 2006 01 38333.
 2006 02 91329.
 2006 03 57338·
 2006 04 41287·
 2006 05 88320·
 2006 06 55350·
 2006 07 14328·
 2006 08 80332.
 2006 09 61360.
 2006 10 36350.
 2006 11 53346.
 2006 12 62366·
 2007 01  58356·
 2007 02  67361.
 2007 03  39398·
 2007 04  81335.
 2007 05  4408·
 2007 06  4353·
 2007 07  58359·
 2007 08  56347·
 2007 09  50356·
 2007 10  29323.
 2007 11  24318·
 2007 12  32331.
 2008 01 70342.
 2008 02 48348·
 2008 03 74325·
 2008 04 78307·
 2008 05 66345.
 2008 06 94371.
 2008 07 72353·
 2008 08 88305·
 2008 09 63247.
 2008 10 23308.
 2008 11 5281·
 2008 12 81332.
 2009 01  10355.
 2009 02  16350·
 2009 03  86295.
 2009 04  1308·
 2009 05  85273.
 2009 06  80277·
 2009 07  53303·
 2009 08  18307·
 2009 09  86277.
 2009 10  47277·
 2009 11  70290·
 2009 12  24273·
 2010 01 39302·
 2010 02 74295.
 2010 03 23294.
 2010 04 41251·
 2010 05 95265.
 2010 06 41290.
 2010 07 26333.
 2010 08 11339·
 2010 09 29304·
 2010 10 56285·
 2010 11 16271·
 2010 12 4322·
 2011 01  42295.
 2011 02  51326.
 2011 03  57319.
 2011 04  14256.
 2011 05  58277·
 2011 06  81274.
 2011 07  36262·
 2011 08  60254.
 2011 09  29274.
 2011 10  29273.
 2011 11  67293·
 2011 12  87321·
 2012 01 29283.
 2012 02 2342.
 2012 03 87307.
 2012 04 63286.
 2012 05 59290.
 2012 06 30304.
 2012 07 59316·
 2012 08 83297.
 2012 09 45297·
 2012 10 71301.
 2012 11 71278·
 2012 12 65310.
 2013 01  36282.
 2013 02  6302.
 2013 03  35284.
 2013 04  54286.
 2013 05  9296·
 2013 06  41332·
 2013 07  91342.
 2013 08  19320·
 2013 09  63302·
 2013 10  10285·
 2013 11  0259·
 2013 12  55268·
 2014 01 24293·
 2014 02 67269.
 2014 03 51252.
 2014 04 79287·
 2014 05 43253.
 2014 06 95215·
 2014 07 56235·
 2014 08 37242·
 2014 09 94270.
 2014 10 0299·
 2014 11 53292.
 2014 12 98295·
 2015 01  78289·
 2015 02  15331.
 2015 03  6306·
 2015 04  55318·
 2015 05  21284·
 2015 06  95288.
 2015 07  2302·
 2015 08  28264.
 2015 09  73247.
 2015 10  22272.
 2015 11  54314·
 2015 12  62313.
 2016 01 9293·
 2016 02 3312.
 2016 03 99287.
 2016 04 24324.
 2016 05 30282·
 2016 06 70315·
 2016 07 2336.
 2016 08 10338.
 2016 09 61337·
 2016 10 79261·
 2016 11 49278.
 2016 12 38270·
 2017 01  52301·
 2017 02  12306.


 2017 03  53296.
 2017 04  52303.
 2017 05  79319.
 2017 06  76341.
 2017 07  53269·
 2017 08  22274.
 2017 09  43285·
 2017 10  1301·
 2017 11  12332.
 2017 12  42323·
 2018 01 68336.
 2018 02 46317.
 2018 03 16290·
 2018 04 31243·
 2018 05 5319·
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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 in Manufacturing Industry: 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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