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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 42264·
 2000 02 93229.
 2000 03 43218.
 2000 04 64200·
 2000 05 51245.
 2000 06 3233·
 2000 07 18257·
 2000 08 27275.
 2000 09 39248·
 2000 10 23263.
 2000 11 6229.
 2000 12 1263.
 2001 01  56243.
 2001 02  37221·
 2001 03  21232·
 2001 04  30220.
 2001 05  78194·
 2001 06  49215.
 2001 07  0240·
 2001 08  84253·
 2001 09  5238·
 2001 10  93242·
 2001 11  6247·
 2001 12  56258·
 2002 01 62241.
 2002 02 24222·
 2002 03 27229·
 2002 04 66215.
 2002 05 0246·
 2002 06 24239.
 2002 07 75246.
 2002 08 58246.
 2002 09 94230·
 2002 10 0203·
 2002 11 90207·
 2002 12 1213.
 2003 01  44223·
 2003 02  83174·
 2003 03  33209·
 2003 04  89229·
 2003 05  77260·
 2003 06  31281·
 2003 07  93272·
 2003 08  41254·
 2003 09  42201·
 2003 10  24198·
 2003 11  82208.
 2003 12  2204·
 2004 01 15219·
 2004 02 70228·
 2004 03 38240·
 2004 04 40223·
 2004 05 96178·
 2004 06 99166.
 2004 07 25176·
 2004 08 51167·
 2004 09 10182.
 2004 10 69186.
 2004 11 30189·
 2004 12 51214·
 2005 01  8204.
 2005 02  62243·
 2005 03  65224·
 2005 04  87199·
 2005 05  66206·
 2005 06  84194·
 2005 07  70189·
 2005 08  27224.
 2005 09  83211·
 2005 10  66208.
 2005 11  6210·
 2005 12  66190.
 2006 01 86237·
 2006 02 65185.
 2006 03 62186.
 2006 04 21189.
 2006 05 23187.
 2006 06 63198·
 2006 07 51237·
 2006 08 39205·
 2006 09 72195·
 2006 10 67186.
 2006 11 10183·
 2006 12 87190·
 2007 01  32171.
 2007 02  8178·
 2007 03  2209·
 2007 04  59188·
 2007 05  29205·
 2007 06  42239·
 2007 07  16223·
 2007 08  76203·
 2007 09  13230·
 2007 10  52224·
 2007 11  64204·
 2007 12  81240.
 2008 01 59216.
 2008 02 44227·
 2008 03 83279·
 2008 04 43244·
 2008 05 68208·
 2008 06 50243·
 2008 07 38214·
 2008 08 57192.
 2008 09 65217·
 2008 10 26237.
 2008 11 15269.
 2008 12 41222.
 2009 01  1218.
 2009 02  54188.
 2009 03  28168.
 2009 04  40194·
 2009 05  50175.
 2009 06  41169·
 2009 07  15214.
 2009 08  22206.
 2009 09  15169·
 2009 10  18156·
 2009 11  38138·
 2009 12  83140·
 2010 01 18170.
 2010 02 42186.
 2010 03 85197.
 2010 04 41225·
 2010 05 13223.
 2010 06 94242.
 2010 07 70226.
 2010 08 39215·
 2010 09 72211.
 2010 10 82236·
 2010 11 30185.
 2010 12 49192·
 2011 01  98195.
 2011 02  37167·
 2011 03  27167.
 2011 04  63163.
 2011 05  15185·
 2011 06  14178·
 2011 07  51144·
 2011 08  0177·
 2011 09  73192·
 2011 10  98196·
 2011 11  14185.
 2011 12  5188·
 2012 01 49190.
 2012 02 92154·
 2012 03 53147.
 2012 04 48152.
 2012 05 43155.
 2012 06 30188.
 2012 07 32206·
 2012 08 21182.
 2012 09 79194·
 2012 10 69187·
 2012 11 38157·
 2012 12 44167·
 2013 01  8157·
 2013 02  89160.
 2013 03  84171·
 2013 04  62155·
 2013 05  6141·
 2013 06  97178·
 2013 07  9161·
 2013 08  44222·
 2013 09  74171.
 2013 10  25169.
 2013 11  75161·
 2013 12  83164.
 2014 01 35156.
 2014 02 30163·
 2014 03 70161.
 2014 04 99139.
 2014 05 42165.
 2014 06 93154.
 2014 07 7149·
 2014 08 35147.
 2014 09 69147·
 2014 10 20189·
 2014 11 24159.
 2014 12 62167.
 2015 01  16173·
 2015 02  45164.
 2015 03  84193·
 2015 04  73180.
 2015 05  10189.
 2015 06  22161·
 2015 07  74173·
 2015 08  88200.
 2015 09  0203.
 2015 10  35162·
 2015 11  7133.
 2015 12  49136.
 2016 01 61166.
 2016 02 88171·
 2016 03 22148.
 2016 04 28173·
 2016 05 95199·
 2016 06 15196·
 2016 07 81170.
 2016 08 17157.
 2016 09 27174·
 2016 10 72168·
 2016 11 73166.
 2016 12 36162·
 2017 01  6175.
 2017 02  40157.
 2017 03  9164.
 2017 04  30188·
 2017 05  9166.
 2017 06  26171·
 2017 07  29166.
 2017 08  66165·
 2017 09  36166·


 2017 10  61167.
 2017 11  94153.
 2017 12  40178.
 2018 01 12191.
 2018 02 3149.
 2018 03 93176.
 2018 04 70161·
 2018 05 87175.
 2018 06 33214.
 2018 07 38220·
 2018 08 1198·
 2018 09 37188·
 2018 10 57173·
 2018 11 68168.
 2018 12 2161·
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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

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

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