What are the worst Jobs for survival when the undead (Zombies) attack?

We’ve modeled an extensive undead zombie death simulation using a single point of infection in a residential neighborhood. For the purposes of the simulation we’ve used an average population density of 400 people per square mile.

The top ten most deadly jobs with their death ratio. (If you have this job you have this % chance of dying in the first 3 days of the apocalypse.)

  1. EMS/Ambulance Paramedic (99%)
  2. Nurse (94%)
  3. Doctor (90%)
  4. Law Enforcement with hesitant trigger finger threshold (85.5%)
  5. Firemen (75%)
  6. Gas Station Attendant (72.5%)
  7. Grocery Clerk (68%)
  8. Schoolteacher (62%)
  9. Bank Teller (57%)
  10. Law Enforcement with happy trigger finger (35%)

I expected the Nurse and Doctor to be nearly identical in death rates, but apparently nurses come into contact first and some number of physicians run when they see their nurses getting eaten, versus trying to help, accounting for the 4% difference.

The law enforcement numbers had a large gap depending on type of law enforcement and how their trigger pull patterns were modeled.  I ended up using a fast to pull the trigger and slow to pull the trigger schema, which had a very clear cut difference on how the behavior impacted survival.  Cops who shoot at early signs ofs violence survived 55.5% more of the time.

The Gas Station Attendant and Grocery Clerk, and Bank Teller numbers were not a big surprise.  People try to grab their cash and get in their cars and run, as well as stock up on food and water, causing those locations to have a higher focal population density and increase the risk.

The Schoolteacher was a surprise to me.  The model uses a variable gap time between exposure and turning, which led to an interesting death toll for schoolteachers.  Apparently people will send their kids to school even if they are about to turn into little undead chewing monsters.

The highest survival ratio of all jobs in the undead apocalypse are deep sea fishermen with a survival of 99.9%.  I am still trying to figure out where the .1% chance came from for infection but I haven’t found it in the model yet.


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