% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data-sowc_child_mortality.R
\docType{data}
\name{sowc_child_mortality}
\alias{sowc_child_mortality}
\title{SOWC Child Mortality Data.}
\format{
A data frame with 195 rows and 19 variables.
\describe{
\item{countries_and_areas}{Country or area name.}
\item{under5_mortality_1990}{Under-5 mortality rate (deaths per 1,000 live births) in 1990.}
\item{under5_mortality_2000}{Under-5 mortality rate (deaths per 1,000 live births) in 2000.}
\item{under5_mortality_2018}{Under-5 mortality rate (deaths per 1,000 live births) in 2018.}
\item{under5_reduction}{Annual rate of reduction in under-5 mortality rate (\%)2000–2018.}
\item{under5_mortality_2018_male}{Under-5 mortality rate male (deaths per 1,000 live births) 2018.}
\item{under5_mortality_2018_female}{Under-5 mortality rate female (deaths per 1,000 live births) 2018.}
\item{infant_mortality_1990}{Infant mortality rate (deaths per 1,000 live births) 1990}
\item{infant_mortality_2018}{Infant mortality rate (deaths per 1,000 live births) 2018}
\item{neonatal_mortality_1990}{Neonatal mortality rate (deaths per 1,000 live births) 1990.}
\item{neonatal_mortality_2000}{Neonatal mortality rate (deaths per 1,000 live births) 2000.}
\item{neonatal_mortality_2018}{Neonatal mortality rate (deaths per 1,000 live births) 2018.}
\item{prob_dying_age5to14_1990}{Probability of dying among children aged 5–14 (deaths per
1,000 children aged 5) 1990.}
\item{prob_dying_age5to14_2018}{Probability of dying among children aged 5–14 (deaths per
1,000 children aged 5) 2018.}
\item{under5_deaths_2018}{Annual number of under-5 deaths (thousands) 2018.}
\item{neonatal_deaths_2018}{Annual number of neonatal deaths (thousands) 2018.}
\item{neonatal_deaths_percent_under5}{Neonatal deaths as proportion of all under-5
deaths (\%) 2018.}
\item{age5to14_deaths_2018}{Number of deaths among children aged 5–14 (thousands) 2018.}
}
}
\source{
\href{https://data.unicef.org/resources/dataset/sowc-2019-statistical-tables/}{United Nations Children's Emergency Fund (UNICEF)}
}
\usage{
sowc_child_mortality
}
\description{
Child mortality data from UNICEF's State of the World's Children 2019 Statistical Tables.
}
\examples{
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)
}
\keyword{datasets}
