% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{babynamesIL}
\alias{babynamesIL}
\title{Israeli Baby Names (1949-2024)}
\format{
A tibble with six columns:
\describe{
\item{sector}{Demographic sector (character): "Jewish", "Muslim", "Christian-Arab", or "Druze"}
\item{year}{Birth year (numeric): 1949-2024}
\item{sex}{Sex (character): "M" for male, "F" for female}
\item{name}{Baby name in Hebrew (character)}
\item{n}{Count of babies given this name in that year (integer)}
\item{prop}{Proportion of babies with this name within the year/sector/sex group (numeric, 0-1)}
}
}
\usage{
babynamesIL
}
\description{
Names given to babies born in Israel from 1949-2024, sourced from the
Israeli Central Bureau of Statistics (CBS/LAMAS).
}
\details{
\subsection{Data Sources}{

The primary data source is CBS release 391/2025, which contains comprehensive
baby name statistics from 1949 to 2024. The data is filtered to include only
names given to at least 5 babies in a given year.

Data was downloaded from:
\href{https://www.cbs.gov.il/he/mediarelease/DocLib/2025/391/11_25_391t1.xlsx}{CBS Release 391/2025}
}

\subsection{Sectors}{

The data covers four demographic sectors:
\itemize{
\item \code{Jewish} - Jewish population
\item \code{Muslim} - Muslim population
\item \code{Christian-Arab} - Christian Arab population
\item \code{Druze} - Druze population
}
}

\subsection{Related Datasets}{

\itemize{
\item \code{\link{babynamesIL_1948}}: Legacy 1948 data (from earlier CBS release)
\item \code{\link{babynamesIL_other}}: Archived "Other" sector data (1985-2021)
\item \code{\link{babynamesIL_totals}}: Aggregated totals by name/sector/sex
}
}

\subsection{Breaking Changes (v0.1.0)}{

\itemize{
\item "Christian" sector renamed to "Christian-Arab"
\item "Other" sector removed from main data (see \code{\link{babynamesIL_other}})
\item 1948 data moved to separate object (see \code{\link{babynamesIL_1948}})
}
}
}
\examples{
\donttest{
# Most popular names in 2024
library(dplyr)
babynamesIL |>
  filter(year == 2024, sector == "Jewish") |>
  group_by(sex) |>
  slice_max(n, n = 5)

# Names over time
babynamesIL |>
  filter(name == "\u05E0\u05D5\u05E2\u05DD", sector == "Jewish") |>
  select(year, sex, n, prop)
}

}
\seealso{
\code{\link{babynamesIL_totals}}, \code{\link{babynamesIL_1948}}, \code{\link{babynamesIL_other}}
}
\keyword{datasets}
