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 Series Title: Employment Level: Protective Service 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 95130.
 2000 02 19156·
 2000 03 34149·
 2000 04 59178·
 2000 05 42158.
 2000 06 30124·
 2000 07 72103.
 2000 08 48103.
 2000 09 18148·
 2000 10 1166·
 2000 11 74169.
 2000 12 98164.
 2001 01  74177·
 2001 02  15209·
 2001 03  51180.
 2001 04  53212·
 2001 05  84176.
 2001 06  79128·
 2001 07  44138·
 2001 08  82123·
 2001 09  49138·
 2001 10  23151·
 2001 11  13166.
 2001 12  80181·
 2002 01 94196.
 2002 02 5186·
 2002 03 47179·
 2002 04 66136·
 2002 05 70135·
 2002 06 6110·
 2002 07 59102·
 2002 08 84108·
 2002 09 53111·
 2002 10 32143·
 2002 11 87162·
 2002 12 3158.
 2003 01  42134·
 2003 02  17130.
 2003 03  93152·
 2003 04  17170·
 2003 05  63142·
 2003 06  15134·
 2003 07  66119.
 2003 08  45118·
 2003 09  66131·
 2003 10  9122.
 2003 11  19133.
 2003 12  31162·
 2004 01 27182·
 2004 02 5192·
 2004 03 88206·
 2004 04 45173.
 2004 05 46160.
 2004 06 36150·
 2004 07 38132·
 2004 08 81133·
 2004 09 49167·
 2004 10 57189·
 2004 11 56150.
 2004 12 58159.
 2005 01  85150.
 2005 02  50176·
 2005 03  55201·
 2005 04  20200·
 2005 05  31183·
 2005 06  22153.
 2005 07  73108.
 2005 08  35114.
 2005 09  87148.
 2005 10  5172.
 2005 11  73166·
 2005 12  0206·
 2006 01 77176.
 2006 02 55183.
 2006 03 42198·
 2006 04 31188.
 2006 05 54191·
 2006 06 54142·
 2006 07 94125·
 2006 08 74154.
 2006 09 91166.
 2006 10 9179·
 2006 11 66210.
 2006 12 98203·
 2007 01  89215.
 2007 02  50207.
 2007 03  22208.
 2007 04  96198.
 2007 05  74194·
 2007 06  36161·
 2007 07  49149.
 2007 08  89127·
 2007 09  96148·
 2007 10  47168.
 2007 11  60158·
 2007 12  20188.
 2008 01 30164·
 2008 02 90183.
 2008 03 93177.
 2008 04 58164.
 2008 05 77174·
 2008 06 96144·
 2008 07 10135.
 2008 08 97149·
 2008 09 63150·
 2008 10 23190·
 2008 11 1195·
 2008 12 57218·
 2009 01  37192·
 2009 02  52208.
 2009 03  77218·
 2009 04  81227.
 2009 05  75231·
 2009 06  89176·
 2009 07  77204.
 2009 08  40187.
 2009 09  77174.
 2009 10  67187.
 2009 11  64208·
 2009 12  26203·
 2010 01 70211.
 2010 02 42210.
 2010 03 24230.
 2010 04 60216·
 2010 05 2207.
 2010 06 95209·
 2010 07 72176·
 2010 08 84199·
 2010 09 50211·
 2010 10 33192.
 2010 11 45191.
 2010 12 69192.
 2011 01  14154·
 2011 02  89190.
 2011 03  6184.
 2011 04  9200·
 2011 05  19193.
 2011 06  17198.
 2011 07  43203·
 2011 08  22208·
 2011 09  16229.
 2011 10  1230.
 2011 11  69198.
 2011 12  53186·
 2012 01 80188.
 2012 02 47193.
 2012 03 22222.
 2012 04 71212.
 2012 05 12202·
 2012 06 86170.
 2012 07 64210·
 2012 08 70192·
 2012 09 36208.
 2012 10 75192·
 2012 11 83155·
 2012 12 70218.
 2013 01  4196·
 2013 02  95203.
 2013 03  93225·
 2013 04  13184.
 2013 05  91183·
 2013 06  54161.
 2013 07  31156·
 2013 08  70170·
 2013 09  96171·
 2013 10  83197.
 2013 11  61168·
 2013 12  35199·
 2014 01 46222.
 2014 02 39233·
 2014 03 69229·
 2014 04 27205.
 2014 05 91172.
 2014 06 3150·
 2014 07 69177·
 2014 08 89170.
 2014 09 6207.
 2014 10 81214·
 2014 11 99201·
 2014 12 92199·
 2015 01  92226·
 2015 02  6237·
 2015 03  22208.
 2015 04  29178·
 2015 05  74188.
 2015 06  35171·
 2015 07  25146.
 2015 08  19159.
 2015 09  2165·
 2015 10  48193.
 2015 11  22224·
 2015 12  7207.
 2016 01 52209.
 2016 02 52168.
 2016 03 50169.
 2016 04 61196·
 2016 05 24198·
 2016 06 80188·
 2016 07 73191·
 2016 08 76202·
 2016 09 44218·
 2016 10 87248·
 2016 11 78259.
 2016 12 71217.
 2017 01  61162·
 2017 02  56150.
 2017 03  77171·
 2017 04  90147.
 2017 05  53151·
 2017 06  93163·
 2017 07  10211·
 2017 08  2219.
 2017 09  17243.


 2017 10  29215.
 2017 11  38174·
 2017 12  2172.
 2018 01 82187.
 2018 02 22197.
 2018 03 51184.
 2018 04 8183·
 2018 05 95179·
 2018 06 52178.
 2018 07 59194·
 2018 08 65176·
 2018 09 34198·
 2018 10 27188·
 2018 11 3188.
 2018 12 41149.
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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

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

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