babynamesil

Israeli baby names dataset (1949-2024) from the Central Bureau of Statistics (CBS).

This package provides easy access to comprehensive baby name statistics from Israel, including names given to at least 5 babies per year, categorized by demographic sector, sex, and year.

Installation

pip install babynamesil

Quick Start

import babynamesil

# Load the main dataset
df = babynamesil.load_data()
print(df.head())

Output:

   sector  year sex  name     n      prop
0  Jewish  1949   F  רחל  1362  0.038065
1  Jewish  1949   F  אסתר  1344  0.037562
2  Jewish  1949   F  שרה  1190  0.033258
3  Jewish  1949   F  מרים   964  0.026942
4  Jewish  1949   F  חנה   895  0.025013

Usage Examples

Find the most popular names in 2024

import babynamesil

df = babynamesil.load_data()

# Top 10 Jewish names in 2024
top_2024 = (
    df[(df['year'] == 2024) & (df['sector'] == 'Jewish')]
    .groupby('sex')
    .apply(lambda x: x.nlargest(10, 'n')[['name', 'n']])
)
print(top_2024)

Track a name over time

import babynamesil
import matplotlib.pyplot as plt

df = babynamesil.load_data()

# Track the name "נועם" (Noam) over time
noam = df[(df['name'] == 'נועם') & (df['sector'] == 'Jewish')]
noam_pivot = noam.pivot(index='year', columns='sex', values='prop')

noam_pivot.plot(title='נועם - Popularity Over Time')
plt.ylabel('Proportion')
plt.show()

Get all-time totals

import babynamesil

totals = babynamesil.load_totals()

# Most popular names of all time (Jewish sector)
jewish_totals = totals[totals['sector'] == 'Jewish']
print(jewish_totals.groupby('sex').apply(lambda x: x.nlargest(5, 'total')))

Available Datasets

Data Structure

Main Dataset (load_data())

Totals Dataset (load_totals())

Data Source

All data is sourced from CBS (Israel Central Bureau of Statistics) Release 391/2025:

• Press release: השמות הפרטיים שניתנו לילידי 2024
• Data file: 11_25_391t1.xlsx

Related Projects

• R package: babynamesIL on CRAN
• Web app: babynames.lifshitz.xyz

License

CC0 1.0 Universal - This work is dedicated to the public domain.

Contributing

Contributions are welcome! Please open an issue or submit a pull request on GitHub.