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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 21264·
 2000 02 54229.
 2000 03 50218.
 2000 04 47200·
 2000 05 10245.
 2000 06 6233.
 2000 07 3257.
 2000 08 98275.
 2000 09 73248.
 2000 10 62263·
 2000 11 62229·
 2000 12 55263.
 2001 01  58243·
 2001 02  5221·
 2001 03  42232.
 2001 04  60220.
 2001 05  42194·
 2001 06  40215.
 2001 07  80240·
 2001 08  84253.
 2001 09  24238·
 2001 10  0242·
 2001 11  38247.
 2001 12  20258·
 2002 01 31241.
 2002 02 42222.
 2002 03 6229.
 2002 04 87215·
 2002 05 12246.
 2002 06 46239.
 2002 07 95246·
 2002 08 30246.
 2002 09 43230·
 2002 10 20203·
 2002 11 43207.
 2002 12 18213·
 2003 01  25223.
 2003 02  95174.
 2003 03  14209.
 2003 04  44229.
 2003 05  82260·
 2003 06  28281.
 2003 07  95272.
 2003 08  29254·
 2003 09  65201.
 2003 10  0198·
 2003 11  99208.
 2003 12  16204·
 2004 01 50219.
 2004 02 19228·
 2004 03 64240.
 2004 04 74223·
 2004 05 36178·
 2004 06 15166·
 2004 07 54176.
 2004 08 98167·
 2004 09 50182·
 2004 10 46186·
 2004 11 55189·
 2004 12 6214·
 2005 01  42204.
 2005 02  93243.
 2005 03  81224.
 2005 04  43199·
 2005 05  86206·
 2005 06  62194·
 2005 07  69189.
 2005 08  78224.
 2005 09  84211.
 2005 10  86208.
 2005 11  83210·
 2005 12  5190.
 2006 01 61237.
 2006 02 21185.
 2006 03 10186·
 2006 04 43189.
 2006 05 67187·
 2006 06 48198.
 2006 07 64237.
 2006 08 36205.
 2006 09 78195·
 2006 10 75186·
 2006 11 82183.
 2006 12 54190.
 2007 01  94171.
 2007 02  32178.
 2007 03  27209·
 2007 04  90188·
 2007 05  40205·
 2007 06  77239.
 2007 07  87223·
 2007 08  64203·
 2007 09  67230·
 2007 10  92224·
 2007 11  75204·
 2007 12  20240.
 2008 01 50216·
 2008 02 82227.
 2008 03 28279.
 2008 04 27244·
 2008 05 90208.
 2008 06 79243.
 2008 07 11214·
 2008 08 79192·
 2008 09 12217·
 2008 10 41237.
 2008 11 9269·
 2008 12 96222·
 2009 01  66218·
 2009 02  48188.
 2009 03  38168.
 2009 04  21194.
 2009 05  27175·
 2009 06  8169.
 2009 07  33214.
 2009 08  23206.
 2009 09  97169·
 2009 10  51156·
 2009 11  59138·
 2009 12  97140.
 2010 01 1170.
 2010 02 36186.
 2010 03 3197·
 2010 04 62225·
 2010 05 88223·
 2010 06 42242.
 2010 07 77226·
 2010 08 62215.
 2010 09 35211.
 2010 10 78236.
 2010 11 21185·
 2010 12 66192.
 2011 01  41195·
 2011 02  74167.
 2011 03  96167·
 2011 04  69163.
 2011 05  33185·
 2011 06  88178.
 2011 07  92144·
 2011 08  89177·
 2011 09  60192·
 2011 10  0196·
 2011 11  19185.
 2011 12  70188.
 2012 01 97190.
 2012 02 18154.
 2012 03 17147.
 2012 04 82152·
 2012 05 47155.
 2012 06 72188·
 2012 07 49206·
 2012 08 19182·
 2012 09 32194.
 2012 10 21187·
 2012 11 1157.
 2012 12 0167·
 2013 01  5157.
 2013 02  45160·
 2013 03  88171.
 2013 04  69155·
 2013 05  40141.
 2013 06  51178.
 2013 07  47161·
 2013 08  95222.
 2013 09  38171·
 2013 10  71169.
 2013 11  40161·
 2013 12  72164.
 2014 01 24156.
 2014 02 61163.
 2014 03 57161.
 2014 04 21139·
 2014 05 49165.
 2014 06 4154·
 2014 07 9149.
 2014 08 83147·
 2014 09 88147.
 2014 10 4189.
 2014 11 35159.
 2014 12 30167.
 2015 01  41173·
 2015 02  95164.
 2015 03  97193·
 2015 04  55180·
 2015 05  34189.
 2015 06  33161·
 2015 07  83173.
 2015 08  76200·
 2015 09  18203·
 2015 10  0162.
 2015 11  7133.
 2015 12  39136.
 2016 01 66166·
 2016 02 2171·
 2016 03 6148·
 2016 04 13173·
 2016 05 81199·
 2016 06 70196·
 2016 07 43170.
 2016 08 91157·
 2016 09 87174.
 2016 10 62168·
 2016 11 5166·
 2016 12 92162.
 2017 01  35175.
 2017 02  59157·
 2017 03  7164.
 2017 04  61188.


 2017 05  0166·
 2017 06  68171·
 2017 07  85166.
 2017 08  68165.
 2017 09  82166·
 2017 10  20167.
 2017 11  3153.
 2017 12  5178·
 2018 01 7191·
 2018 02 73149·
 2018 03 48176.
 2018 04 93161·
 2018 05 26175.
 2018 06 6214.
 2018 07 34220·
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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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