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Published March 20, 2026 | Version v0.1.1
Software Open

estatjp - a Python package for accessing Japanese government data from its e-Stat portal

Authors/Creators

Description

[E-Stat](https://www.e-stat.go.jp/en) is a widely used portal site for accessing Japanese governmental statistical data. Began operation in 2008. e-Stat currently hosts [744 surveys (1,688,550 datasets) in Japanese](https://www.e-stat.go.jp/stat-search?page=1) from about 30 governmental agencies with [56 surveys (292,856 datasets) available in English](https://www.e-stat.go.jp/en/stat-search?page=1). These collections contain ‘databases’ and files (mainly Excel files). The ‘databases’ can be accessed via an API. API urls can cover entire databases or subsets that can be tailored to users’ individual needs.

The objective of the estatjp` Python package is to provide access to the e-Stat portal and return datasets in pandas.DataFrame` format.

Files

Files (19.8 kB)

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md5:0998d0ee5b56f3a558810dbe54e776e5
8.6 kB Download
md5:21b42d6cf61f2a773cd83ba974293b32
11.2 kB Download

Additional details

Dates

Available
2026-03-20

Software

Repository URL
https://github.com/kijinosu/estatjp
Programming language
Python
Development Status
Active

References

  • Ashikawa, Souta, Matsuda, Junichi, & Osone, Tadashi. (2022). Method for improving the recall in e-stat data search. Proceedings of Annual Conference of the Information Systems Society in Japan ISSJ2022, S1–C1. https://doi.org/10.19014/proceedingsissj.18.0_S1-C1
  • Ashikawa, Souta, Matsuda, Junichi, & Osone, Tadashi. (2023). Development of front-end search system improving recall in e-stat. Proceedings of Annual Conference of the Information Systems Society in Japan ISSJ2023, 1–6. https://doi.org/10.19014/proceedingsissj.19.0_P001
  • cocosan. (2023). Python apuri: Seifu tokei e-stat wo shigoto ni ikase! https://www.youtube.com/watch?v=hiaK-jTXpCI.
  • Higashi, Takahiro, & Kurokawa, Yukinori. (2024). Incidence, mortality, survival, and treatment statistics of cancers in digestive organs—japanese cancer statistics 2024. Annals of Gastroenterological Surgery, 8(6), 958–965. https://doi.org/10.1002/ags3.12835
  • Inoue, Takao. (2023). A self-made tutorial for GitHub flavored markdown (GFM), and its source codes. ResearchGate. https://www.researchgate.net/publication/370937551_A_self-made_tutorial_for_GitHub_Flavored_Markdown_GFM_and_its_source_codes
  • Kato, Haruka, & Takizawa, Atsushi. (2021). Which residential clusters of walkability affect future population from the perspective of real estate prices in the osaka metropolitan area? Sustainability, 13(23), 13413. https://doi.org/10.3390/su132313413
  • Masui, Toshikatsu. (2021). R to python de manabu tokeigaku nyumon. Ohmsha.
  • National Statistics Center, Japan. (2016). Chukan apuri. https://github.com/e-stat-api/adaptor.
  • Nishimura, Shoki. (2017). Providing statistical data by linked open data (LOD): Innovative official statistical data (e-stat) dissemination. Joho Kanri, 59(12), 812–821. https://doi.org/10.1241/johokanri.59.812
  • Seki, Katsunori. (2023). Social identification and redistribution preference: A survey experiment in japan. Social Science Japan Journal, 26(1), 47–60. https://doi.org/10.1093/ssjj/jyac029
  • Takahashi, Shūichiro. (2022). E-stat to nakayokusuru hon: Python to ōpun deta de nihon wo bunseki suru! API keiyu de seifu tōkei wo shutoku! katsuyo! Impress R&D.
  • Wakabayashi, Chihiro, Shinmura, Hiromi, Ando, Miri, Shimada, Masako, & Yanagawa, Hiroshi. (2015). Kōeisei topikksu dai 13 kai seifutōkei no sōgōmadoguchi e-stat: Chiiki shindan he no katsuyō - jissen herusu puromōshon. Gekkan Chiiki Igaku, 29(2), 52. https://doi.org/10.60261/chiikiigaku.29.2_52
  • 芦澤颯太, 松田純一, & 大曽根匡. (2022). E-stat での統計データ検索におけるいくつかの課題抽出とその解決方法の提案. 情報システム学会 全国大会論文集 ISSJ2022, S1–C1. https://doi.org/10.19014/proceedingsissj.18.0_S1-C1
  • 芦澤颯太, 松田純一, & 大曽根匡. (2023). E-stat における検索漏れを抑止する情報システムの開発とその検証. 情報システム学会 全国大会論文集 情報システム学会, 1–6. https://doi.org/10.19014/proceedingsissj.19.0_P001
  • 若林チヒロ, 新村洋未, 安藤実里, 嶋田雅子, & 柳川洋. (2015). 公衆衛生トピックス 第 13 回 政府統計の総合窓口 e-stat-地域診断への活用-実践ヘルスプロモーション. 月刊地域医学, 29(2), 52. https://doi.org/10.60261/chiikiigaku.29.2_52
  • 西村正貴. (2017). Linked open data (LOD) による統計データの提供: 政府統計データ (e-stat) の新しい形. 情報管理, 59(12), 812–821. https://doi.org/10.1241/johokanri.59.812