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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 98264.
 2000 02 78229·
 2000 03 29218.
 2000 04 9200·
 2000 05 2245.
 2000 06 92233·
 2000 07 68257.
 2000 08 45275.
 2000 09 22248·
 2000 10 55263.
 2000 11 57229·
 2000 12 30263.
 2001 01  10243.
 2001 02  48221·
 2001 03  11232·
 2001 04  7220.
 2001 05  39194·
 2001 06  77215.
 2001 07  66240.
 2001 08  47253·
 2001 09  11238·
 2001 10  75242·
 2001 11  86247.
 2001 12  42258·
 2002 01 50241·
 2002 02 98222.
 2002 03 58229.
 2002 04 13215.
 2002 05 8246.
 2002 06 28239.
 2002 07 96246.
 2002 08 3246.
 2002 09 60230·
 2002 10 71203.
 2002 11 37207·
 2002 12 82213.
 2003 01  6223·
 2003 02  59174·
 2003 03  44209.
 2003 04  43229·
 2003 05  71260·
 2003 06  48281·
 2003 07  5272.
 2003 08  6254·
 2003 09  6201.
 2003 10  21198·
 2003 11  33208·
 2003 12  15204.
 2004 01 87219.
 2004 02 84228.
 2004 03 66240·
 2004 04 40223.
 2004 05 13178·
 2004 06 68166.
 2004 07 66176·
 2004 08 73167·
 2004 09 10182.
 2004 10 30186·
 2004 11 22189.
 2004 12 35214.
 2005 01  28204·
 2005 02  52243.
 2005 03  47224·
 2005 04  69199·
 2005 05  43206·
 2005 06  41194·
 2005 07  78189.
 2005 08  44224·
 2005 09  56211.
 2005 10  27208.
 2005 11  78210·
 2005 12  56190.
 2006 01 91237.
 2006 02 69185.
 2006 03 35186.
 2006 04 23189·
 2006 05 99187·
 2006 06 46198.
 2006 07 63237.
 2006 08 88205.
 2006 09 55195.
 2006 10 67186.
 2006 11 98183·
 2006 12 22190·
 2007 01  60171·
 2007 02  62178·
 2007 03  4209.
 2007 04  18188·
 2007 05  39205·
 2007 06  89239.
 2007 07  69223.
 2007 08  95203·
 2007 09  43230.
 2007 10  28224.
 2007 11  6204.
 2007 12  98240.
 2008 01 47216.
 2008 02 87227.
 2008 03 52279.
 2008 04 96244·
 2008 05 51208.
 2008 06 98243·
 2008 07 70214·
 2008 08 83192.
 2008 09 81217·
 2008 10 16237·
 2008 11 49269.
 2008 12 78222·
 2009 01  87218.
 2009 02  23188.
 2009 03  1168.
 2009 04  25194·
 2009 05  44175.
 2009 06  27169·
 2009 07  64214.
 2009 08  93206.
 2009 09  53169·
 2009 10  59156·
 2009 11  1138.
 2009 12  77140.
 2010 01 40170·
 2010 02 74186·
 2010 03 0197.
 2010 04 96225.
 2010 05 54223·
 2010 06 56242.
 2010 07 73226·
 2010 08 93215.
 2010 09 71211·
 2010 10 11236.
 2010 11 59185.
 2010 12 38192.
 2011 01  92195.
 2011 02  70167·
 2011 03  21167.
 2011 04  25163.
 2011 05  42185.
 2011 06  90178·
 2011 07  46144·
 2011 08  73177·
 2011 09  71192·
 2011 10  52196·
 2011 11  47185·
 2011 12  27188.
 2012 01 54190·
 2012 02 64154·
 2012 03 63147·
 2012 04 54152·
 2012 05 92155·
 2012 06 57188.
 2012 07 56206·
 2012 08 51182.
 2012 09 11194·
 2012 10 87187.
 2012 11 13157·
 2012 12 35167·
 2013 01  61157.
 2013 02  36160·
 2013 03  49171·
 2013 04  51155·
 2013 05  17141·
 2013 06  12178·
 2013 07  0161·
 2013 08  69222·
 2013 09  79171.
 2013 10  44169.
 2013 11  30161.
 2013 12  81164·
 2014 01 73156·
 2014 02 91163·
 2014 03 26161·
 2014 04 7139·
 2014 05 50165·
 2014 06 33154·
 2014 07 2149·
 2014 08 92147.
 2014 09 85147·
 2014 10 78189.
 2014 11 95159.
 2014 12 5167·
 2015 01  77173.
 2015 02  57164·
 2015 03  69193.
 2015 04  39180·
 2015 05  53189.
 2015 06  27161·
 2015 07  10173.
 2015 08  14200.
 2015 09  63203.
 2015 10  68162.
 2015 11  32133.
 2015 12  75136·
 2016 01 83166.
 2016 02 89171·
 2016 03 74148.
 2016 04 89173.
 2016 05 12199.
 2016 06 20196·
 2016 07 97170·
 2016 08 51157·
 2016 09 76174·
 2016 10 19168·
 2016 11 90166·
 2016 12 81162·
 2017 01  25175.


 2017 02  66157.
 2017 03  65164·
 2017 04  23188.
 2017 05  36166.
 2017 06  69171.
 2017 07  61166.
 2017 08  45165.
 2017 09  7166·
 2017 10  59167.
 2017 11  40153·
 2017 12  42178·
 2018 01 66191.
 2018 02 93149·
 2018 03 90176·
 2018 04 33161·
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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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