A curated dataset of acute mortality risks measured in micromorts. One micromort equals a one-in-a-million chance of death.
Format
A tibble with 62 rows and 15 columns:
- record_id
Unique record identifier (source_id + sequence)
- activity
Human-readable activity name
- activity_normalized
Standardized activity name for grouping
- micromorts
Risk in micromorts (1 = one-in-a-million death risk)
- microlives
Equivalent in microlives (micromorts × 0.7)
- category
Activity category (Sport, Travel, Medical, etc.)
- period
Time period for risk (per event, per day, per year)
- period_normalized
Standardized period (event, day, week, month, year)
- age_group
Applicable age group (all, 18-49, 65+, etc.)
- geography
Geographic scope (global, US, UK, etc.)
- year
Year of data collection
- source_id
Source identifier (foreign key to risk_sources)
- source_url
Direct URL to source
- confidence
Data quality level (high, medium, low)
- last_accessed
Date data was retrieved
Source
Wikipedia: https://en.wikipedia.org/wiki/Micromort
micromorts.rip: https://micromorts.rip/
CDC MMWR: https://www.cdc.gov/mmwr/
Details
Data is compiled from multiple sources including Wikipedia, micromorts.rip, and CDC MMWR reports. Multiple estimates for the same activity may exist from different sources.
References
Howard RA (1980). "On Making Life and Death Decisions." In Schwing & Albers (eds), Societal Risk Assessment.
See also
Other datasets:
chronic_risks(),
risk_sources
Examples
# Load the acute risks dataset
acute <- load_acute_risks()
head(acute)
#> # A tibble: 6 × 15
#> record_id activity activity_normalized micromorts microlives category period
#> <chr> <chr> <chr> <dbl> <dbl> <chr> <chr>
#> 1 micromorts… Mt. Eve… mt. everest ascent 37932 26552. Mountai… per a…
#> 2 micromorts… Himalay… himalayan mountain… 12000 8400 Mountai… per e…
#> 3 micromorts… COVID-1… covid-19 infection 10000 7000 COVID-19 per i…
#> 4 micromorts… Spanish… spanish flu infect… 3000 2100 Disease per i…
#> 5 micromorts… Matterh… matterhorn ascent 2840 1988 Mountai… per a…
#> 6 micromorts… Living … living in us durin… 500 350 COVID-19 per m…
#> # ℹ 8 more variables: period_normalized <chr>, age_group <chr>,
#> # geography <chr>, year <dbl>, source_id <chr>, source_url <chr>,
#> # confidence <chr>, last_accessed <date>
# Filter by category
acute |> dplyr::filter(category == "Sport")
#> # A tibble: 13 × 15
#> record_id activity activity_normalized micromorts microlives category period
#> <chr> <chr> <chr> <dbl> <dbl> <chr> <chr>
#> 1 micromort… Base ju… base jumping 430 301 Sport per j…
#> 2 micromort… Scuba d… scuba diving, trai… 164 115. Sport per y…
#> 3 micromort… America… american football 20 14 Sport per g…
#> 4 micromort… Swimming swimming 12 8.4 Sport per s…
#> 5 micromort… Skydivi… skydiving 10 7 Sport per j…
#> 6 micromort… Skydivi… skydiving 8 5.6 Sport per e…
#> 7 micromort… Skydivi… skydiving 8 5.6 Sport per e…
#> 8 micromort… Hang gl… hang gliding 8 5.6 Sport per f…
#> 9 wikipedia… Running… running a marathon 7 4.9 Sport per e…
#> 10 wikipedia… Scuba d… scuba diving, trai… 5 3.5 Sport per d…
#> 11 micromort… Rock cl… rock climbing 3 2.1 Sport per d…
#> 12 micromort… Skiing skiing 0.7 0.5 Sport per d…
#> 13 micromort… Horse r… horse riding 0.5 0.3 Sport per r…
#> # ℹ 8 more variables: period_normalized <chr>, age_group <chr>,
#> # geography <chr>, year <dbl>, source_id <chr>, source_url <chr>,
#> # confidence <chr>, last_accessed <date>
# Top 10 riskiest activities
acute |> dplyr::slice_max(micromorts, n = 10)
#> # A tibble: 10 × 15
#> record_id activity activity_normalized micromorts microlives category period
#> <chr> <chr> <chr> <dbl> <dbl> <chr> <chr>
#> 1 micromort… Mt. Eve… mt. everest ascent 37932 26552. Mountai… per a…
#> 2 micromort… Himalay… himalayan mountain… 12000 8400 Mountai… per e…
#> 3 micromort… COVID-1… covid-19 infection 10000 7000 COVID-19 per i…
#> 4 micromort… Spanish… spanish flu infect… 3000 2100 Disease per i…
#> 5 micromort… Matterh… matterhorn ascent 2840 1988 Mountai… per a…
#> 6 micromort… Living … living in us durin… 500 350 COVID-19 per m…
#> 7 micromort… Living … living 463 324. Daily L… per d…
#> 8 micromort… Base ju… base jumping 430 301 Sport per j…
#> 9 micromort… First d… first day of life 430 301 Daily L… per d…
#> 10 cdc_mmwr_… COVID-1… covid-19 unvaccina… 234 164. COVID-19 11 we…
#> # ℹ 8 more variables: period_normalized <chr>, age_group <chr>,
#> # geography <chr>, year <dbl>, source_id <chr>, source_url <chr>,
#> # confidence <chr>, last_accessed <date>