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 Series Title: Employment Level: Production Occupations in Education and Health Services 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 77264·
 2000 02 76229·
 2000 03 8218.
 2000 04 63200·
 2000 05 57245.
 2000 06 4233.
 2000 07 25257.
 2000 08 67275·
 2000 09 59248·
 2000 10 88263.
 2000 11 0229.
 2000 12 25263·
 2001 01  34243.
 2001 02  8221·
 2001 03  44232·
 2001 04  83220.
 2001 05  58194·
 2001 06  71215·
 2001 07  97240.
 2001 08  9253.
 2001 09  30238·
 2001 10  8242.
 2001 11  20247·
 2001 12  97258·
 2002 01 76241·
 2002 02 77222·
 2002 03 2229·
 2002 04 67215.
 2002 05 47246.
 2002 06 58239.
 2002 07 56246.
 2002 08 62246.
 2002 09 18230.
 2002 10 60203.
 2002 11 19207·
 2002 12 52213·
 2003 01  90223.
 2003 02  12174·
 2003 03  55209.
 2003 04  31229·
 2003 05  87260·
 2003 06  73281.
 2003 07  51272·
 2003 08  18254.
 2003 09  60201·
 2003 10  22198.
 2003 11  20208·
 2003 12  58204·
 2004 01 84219·
 2004 02 68228.
 2004 03 0240.
 2004 04 18223·
 2004 05 61178.
 2004 06 42166·
 2004 07 54176·
 2004 08 94167.
 2004 09 14182.
 2004 10 0186.
 2004 11 70189·
 2004 12 5214.
 2005 01  96204.
 2005 02  24243.
 2005 03  61224.
 2005 04  94199·
 2005 05  80206·
 2005 06  21194.
 2005 07  64189·
 2005 08  31224.
 2005 09  68211.
 2005 10  22208.
 2005 11  43210·
 2005 12  11190·
 2006 01 85237.
 2006 02 84185.
 2006 03 85186.
 2006 04 51189.
 2006 05 81187.
 2006 06 89198.
 2006 07 4237·
 2006 08 97205.
 2006 09 32195·
 2006 10 43186.
 2006 11 37183·
 2006 12 17190.
 2007 01  37171.
 2007 02  78178.
 2007 03  46209.
 2007 04  5188.
 2007 05  23205.
 2007 06  50239.
 2007 07  21223·
 2007 08  82203·
 2007 09  40230·
 2007 10  42224·
 2007 11  74204·
 2007 12  90240.
 2008 01 63216.
 2008 02 59227.
 2008 03 42279.
 2008 04 0244·
 2008 05 93208.
 2008 06 34243.
 2008 07 89214.
 2008 08 4192.
 2008 09 54217·
 2008 10 23237.
 2008 11 3269.
 2008 12 23222.
 2009 01  98218·
 2009 02  7188·
 2009 03  96168.
 2009 04  0194.
 2009 05  0175·
 2009 06  94169.
 2009 07  6214.
 2009 08  5206·
 2009 09  59169·
 2009 10  15156·
 2009 11  97138·
 2009 12  31140·
 2010 01 3170·
 2010 02 27186·
 2010 03 55197·
 2010 04 99225.
 2010 05 80223·
 2010 06 11242·
 2010 07 95226.
 2010 08 51215.
 2010 09 66211·
 2010 10 74236.
 2010 11 54185·
 2010 12 57192·
 2011 01  63195·
 2011 02  48167.
 2011 03  94167·
 2011 04  12163·
 2011 05  94185.
 2011 06  88178.
 2011 07  4144.
 2011 08  34177.
 2011 09  11192.
 2011 10  78196·
 2011 11  96185·
 2011 12  68188·
 2012 01 88190.
 2012 02 23154.
 2012 03 9147.
 2012 04 82152·
 2012 05 27155·
 2012 06 55188.
 2012 07 5206.
 2012 08 72182.
 2012 09 53194·
 2012 10 31187·
 2012 11 73157·
 2012 12 55167·
 2013 01  15157·
 2013 02  33160·
 2013 03  25171.
 2013 04  76155.
 2013 05  90141·
 2013 06  66178.
 2013 07  98161.
 2013 08  5222.
 2013 09  78171.
 2013 10  63169.
 2013 11  57161·
 2013 12  35164·
 2014 01 4156.
 2014 02 81163.
 2014 03 88161·
 2014 04 85139·
 2014 05 19165·
 2014 06 0154·
 2014 07 5149·
 2014 08 0147·
 2014 09 98147.
 2014 10 29189.
 2014 11 45159.
 2014 12 49167.
 2015 01  41173.
 2015 02  97164·
 2015 03  72193.
 2015 04  26180·
 2015 05  74189·
 2015 06  62161·
 2015 07  74173.
 2015 08  50200.
 2015 09  47203.
 2015 10  6162.
 2015 11  62133.
 2015 12  66136.
 2016 01 35166.
 2016 02 35171·
 2016 03 76148.
 2016 04 41173·
 2016 05 40199·
 2016 06 81196·
 2016 07 78170·
 2016 08 71157·
 2016 09 86174·
 2016 10 0168·
 2016 11 55166.
 2016 12 75162.
 2017 01  23175·
 2017 02  75157·
 2017 03  22164·
 2017 04  97188·
 2017 05  28166·
 2017 06  11171·


 2017 07  15166.
 2017 08  6165·
 2017 09  0166.
 2017 10  41167.
 2017 11  97153.
 2017 12  95178.
 2018 01 65191·
 2018 02 20149·
 2018 03 58176·
 2018 04 85161·
 2018 05 74175.
 2018 06 31214.
 2018 07 8220·
 2018 08 20198·
 2018 09 1188·
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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: Production Occupations in Education and Health Services 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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