% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{who_countries}
\alias{who_countries}
\title{WHO Member States with regional and Pacific classifications}
\format{
A tibble with 194 rows and 7 columns:
\describe{
\item{iso3}{ISO 3166-1 alpha-3 code (3-letter, e.g. \code{"PHL"}).}
\item{iso2}{ISO 3166-1 alpha-2 code (2-letter, e.g. \code{"PH"}).}
\item{m49_code}{UN M49 numeric code, stored as a 3-character string with
leading zeros where present (e.g. \code{"008"} for Albania). Stored as
character because some downstream APIs (notably the UN SDG API) expect
the leading-zero form.}
\item{name_official}{WHO official English name (e.g.
\code{"Iran (Islamic Republic of)"}). Use for formal documents and reports.}
\item{name_short}{A shorter form suitable for charts and tables (e.g.
\code{"Iran"}). Equal to \code{name_official} for countries whose official name
is already concise. See Details.}
\item{who_region}{WHO region code: one of \code{"AFR"}, \code{"AMR"}, \code{"SEAR"},
\code{"EUR"}, \code{"EMR"}, \code{"WPR"}.}
\item{is_pic}{Logical. \code{TRUE} for the 14 Pacific Island Country (PIC)
Member States in WPR, \code{FALSE} otherwise.}
}
}
\source{
\itemize{
\item WHO official region listing:
\url{https://www.who.int/countries}
\item ISO 3166-1 codes and UN M49 numeric codes: UN Statistics Division
\url{https://unstats.un.org/unsd/methodology/m49/}
}
}
\usage{
who_countries
}
\description{
A tibble of the 194 World Health Organization (WHO) Member States, with
standard country identifiers and WHO/Pacific groupings used across DSIR
analytical workflows.
}
\details{
\strong{Scope.} WHO has 194 Member States plus 2 Associate Members
(Puerto Rico, Tokelau) and reports on additional non-Member areas
(e.g. West Bank and Gaza Strip). This dataset includes only the 194
Member States. Cook Islands and Niue are full WHO Member States and
are included even though they are not UN member states.

\strong{Region coverage} (as of May 2025, after WHO EB156 reassignment of
Indonesia from SEAR to WPR):
\itemize{
\item AFR (African Region): 47
\item AMR (Region of the Americas): 35
\item SEAR (South-East Asia Region): 10
\item EUR (European Region): 53
\item EMR (Eastern Mediterranean Region): 21
\item WPR (Western Pacific Region): 28
}

\strong{Short names.} \code{name_short} differs from \code{name_official} for 13
countries where the official name is a parenthetical descriptor or is
otherwise long. Examples: \code{"DPR Korea"}, \code{"DR Congo"}, \code{"Lao PDR"},
\code{"United Kingdom"}. These short forms follow conventions used in WHO
regional reports and OECD Health at a Glance: Asia/Pacific.

\strong{PICs.} The Pacific Island Countries flag (\code{is_pic}) marks the 14
WHO Member States in the Pacific sub-region: Cook Islands, Fiji,
Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru,
Niue, Palau, Papua New Guinea, Samoa, Solomon Islands, Tonga, Tuvalu,
and Vanuatu. Non-Member Pacific areas (e.g. New Caledonia, French
Polynesia, American Samoa) are not included in this dataset.
}
\examples{
# All WPR Member States, sorted alphabetically by short name
wpr <- who_countries[who_countries$who_region == "WPR", ]
wpr <- wpr[order(wpr$name_short), c("iso3", "name_short")]
head(wpr)

# Filter a data frame to PIC member states
# df_pic <- subset(my_data, country_iso3 \%in\% who_countries$iso3[who_countries$is_pic])
}
\keyword{datasets}
