sowc_child_mortality | R Documentation |
Child mortality data from UNICEF's State of the World's Children 2019 Statistical Tables.
sowc_child_mortality
A data frame with 195 rows and 19 variables.
Country or area name.
Under-5 mortality rate (deaths per 1,000 live births) in 1990.
Under-5 mortality rate (deaths per 1,000 live births) in 2000.
Under-5 mortality rate (deaths per 1,000 live births) in 2018.
Annual rate of reduction in under-5 mortality rate (%)2000–2018.
Under-5 mortality rate male (deaths per 1,000 live births) 2018.
Under-5 mortality rate female (deaths per 1,000 live births) 2018.
Infant mortality rate (deaths per 1,000 live births) 1990
Infant mortality rate (deaths per 1,000 live births) 2018
Neonatal mortality rate (deaths per 1,000 live births) 1990.
Neonatal mortality rate (deaths per 1,000 live births) 2000.
Neonatal mortality rate (deaths per 1,000 live births) 2018.
Probability of dying among children aged 5–14 (deaths per 1,000 children aged 5) 1990.
Probability of dying among children aged 5–14 (deaths per 1,000 children aged 5) 2018.
Annual number of under-5 deaths (thousands) 2018.
Annual number of neonatal deaths (thousands) 2018.
Neonatal deaths as proportion of all under-5 deaths (%) 2018.
Number of deaths among children aged 5–14 (thousands) 2018.
United Nations Children's Emergency Fund (UNICEF)
library(dplyr)
library(ggplot2)
# List countries and areas whose children aged 5 and under have a higher probability of dying in
# 2018 than they did in 1990
sowc_child_mortality |>
mutate(decrease_prob_dying = prob_dying_age5to14_1990 - prob_dying_age5to14_2018) |>
select(countries_and_areas, decrease_prob_dying) |>
filter(decrease_prob_dying < 0) |>
arrange(decrease_prob_dying)
# List countries and areas and their relative rank for neonatal mortality in 2018
sowc_child_mortality |>
mutate(rank = round(rank(-neonatal_mortality_2018))) |>
select(countries_and_areas, rank, neonatal_mortality_2018) |>
arrange(rank)
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