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 Series Title: Employment Level: Protective Service Occupations in Education and Health Services Industry: NSA
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 2000 01 32130·
 2000 02 82156.
 2000 03 84149·
 2000 04 61178·
 2000 05 57158·
 2000 06 20124.
 2000 07 1103.
 2000 08 78103.
 2000 09 11148.
 2000 10 20166.
 2000 11 80169·
 2000 12 55164·
 2001 01  45177·
 2001 02  62209.
 2001 03  36180.
 2001 04  39212.
 2001 05  33176·
 2001 06  54128·
 2001 07  7138·
 2001 08  96123.
 2001 09  76138·
 2001 10  26151·
 2001 11  54166.
 2001 12  22181.
 2002 01 0196.
 2002 02 36186·
 2002 03 66179·
 2002 04 36136·
 2002 05 54135.
 2002 06 65110·
 2002 07 57102.
 2002 08 82108·
 2002 09 14111·
 2002 10 20143·
 2002 11 62162·
 2002 12 29158.
 2003 01  81134.
 2003 02  32130.
 2003 03  47152·
 2003 04  71170·
 2003 05  80142·
 2003 06  59134.
 2003 07  98119·
 2003 08  27118.
 2003 09  62131·
 2003 10  81122·
 2003 11  29133.
 2003 12  42162.
 2004 01 1182.
 2004 02 5192.
 2004 03 76206.
 2004 04 84173.
 2004 05 98160.
 2004 06 64150.
 2004 07 4132·
 2004 08 48133.
 2004 09 79167.
 2004 10 13189.
 2004 11 1150.
 2004 12 53159·
 2005 01  94150·
 2005 02  34176.
 2005 03  78201·
 2005 04  43200.
 2005 05  18183.
 2005 06  35153.
 2005 07  74108.
 2005 08  87114.
 2005 09  51148.
 2005 10  46172.
 2005 11  52166.
 2005 12  79206.
 2006 01 20176.
 2006 02 24183.
 2006 03 99198·
 2006 04 39188·
 2006 05 74191·
 2006 06 51142.
 2006 07 29125.
 2006 08 10154.
 2006 09 90166·
 2006 10 34179·
 2006 11 79210.
 2006 12 62203·
 2007 01  66215.
 2007 02  3207·
 2007 03  13208.
 2007 04  89198.
 2007 05  29194.
 2007 06  17161.
 2007 07  18149·
 2007 08  9127·
 2007 09  29148.
 2007 10  56168·
 2007 11  7158·
 2007 12  68188·
 2008 01 42164.
 2008 02 27183.
 2008 03 18177·
 2008 04 34164·
 2008 05 67174·
 2008 06 62144.
 2008 07 14135.
 2008 08 2149.
 2008 09 31150.
 2008 10 17190.
 2008 11 83195.
 2008 12 90218.
 2009 01  83192.
 2009 02  74208.
 2009 03  37218.
 2009 04  42227·
 2009 05  99231·
 2009 06  39176·
 2009 07  15204.
 2009 08  29187.
 2009 09  80174·
 2009 10  45187.
 2009 11  80208.
 2009 12  43203·
 2010 01 50211.
 2010 02 48210.
 2010 03 19230·
 2010 04 5216·
 2010 05 61207·
 2010 06 29209.
 2010 07 45176.
 2010 08 58199·
 2010 09 87211·
 2010 10 96192.
 2010 11 96191·
 2010 12 71192.
 2011 01  29154·
 2011 02  79190·
 2011 03  35184.
 2011 04  38200.
 2011 05  12193·
 2011 06  36198·
 2011 07  50203.
 2011 08  80208·
 2011 09  87229.
 2011 10  48230.
 2011 11  54198.
 2011 12  39186.
 2012 01 29188·
 2012 02 22193.
 2012 03 85222·
 2012 04 85212·
 2012 05 39202·
 2012 06 89170·
 2012 07 5210.
 2012 08 12192.
 2012 09 42208.
 2012 10 6192.
 2012 11 3155·
 2012 12 40218·
 2013 01  87196.
 2013 02  55203.
 2013 03  91225.
 2013 04  12184.
 2013 05  52183·
 2013 06  42161.
 2013 07  7156·
 2013 08  97170·
 2013 09  36171.
 2013 10  99197·
 2013 11  14168.
 2013 12  90199·
 2014 01 64222·
 2014 02 82233.
 2014 03 1229.
 2014 04 10205.
 2014 05 87172·
 2014 06 74150·
 2014 07 79177.
 2014 08 0170.
 2014 09 80207·
 2014 10 81214.
 2014 11 87201.
 2014 12 31199·
 2015 01  44226·
 2015 02  34237.
 2015 03  88208·
 2015 04  96178.
 2015 05  4188·
 2015 06  91171·
 2015 07  70146.
 2015 08  14159·
 2015 09  10165·
 2015 10  32193.
 2015 11  45224.
 2015 12  30207·
 2016 01 38209·
 2016 02 65168.
 2016 03 51169.
 2016 04 12196.
 2016 05 89198.
 2016 06 20188·
 2016 07 52191.
 2016 08 56202·
 2016 09 86218·
 2016 10 56248·
 2016 11 34259.
 2016 12 79217·
 2017 01  82162.
 2017 02  53150·
 2017 03  12171·
 2017 04  26147.


 2017 05  52151·
 2017 06  17163·
 2017 07  23211·
 2017 08  66219.
 2017 09  95243.
 2017 10  82215·
 2017 11  30174.
 2017 12  94172.
 2018 01 37187·
 2018 02 3197·
 2018 03 20184·
 2018 04 28183·
 2018 05 29179.
 2018 06 61178·
 2018 07 7194·
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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: Protective Service 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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