Practical guide · Japan
CSV data in Japan: sources and checks
By datafromgov.com · Published 2026-10-28
Source export: 2026-08-30
The counts describe a saved catalogue. Check the source for current files and terms.
The saved catalogue lists 29,057 resource records with a CSV label across 12 publishers.
This guide identifies sources in Japan and gives a procedure for the format.
The measurements describe the export dated 2026-08-30. They do not establish current download availability.
- Matching format declarations
- 29,057
- Publishers in this sample
- 12
- Share of listed declarations
- 9.7%
What the source records show
The selected country export contains 300,607 listed format declarations across 23 publishers.
CSV accounts for 9.7% of that declaration total.
A resource record describes a file or a service. Several records can belong to one dataset.
The export retains up to 20 format labels per publisher. It excludes some small publishers and empty format labels.
Choose a source
The largest matching entry is 厚生労働省.
It contributes 20,587 matching resource records, or 70.9% of this format sample.
The next entry contributes 3,280 matching records.
A large count indicates more catalogue records. It does not establish accuracy, completeness, or public access.
- Open a source record from the examples below.
- Confirm the geographic area and observation period on the source page.
- Read the licence for the selected dataset.
- Select the required file or service from the source page.
Inspect the format
CSV stores table rows as text. A delimiter separates the fields.
- Confirm the delimiter and character encoding.
- Import identifiers as text to preserve leading zeroes.
- Compare the number of fields in each row.
- Check decimal symbols and date formats before calculations.
- Retain blank cells until the source defines their meaning.
Check the result
A format label does not verify the file contents. A source can change its files after the catalogue export.
A metadata modification date can describe a catalogue edit. It does not necessarily describe the latest observation.
- Record the source URL, access date, and dataset title.
- Check the units and the definitions of the fields.
- Compare a small sample with the source documentation.
- Retain an original copy before any conversion.
- State any missing periods, regions, or values in the result.
How this comparison works
The calculation sums listed format declarations from the publisher export.
It groups equivalent format labels and retains separate counts for XLS, XLSX, TIFF, and GeoTIFF.
Compound labels can remain outside the selected format group. The source files retain the original labels.
The source records can include several versions of the same data. The totals do not count unique observations.
The examples are selections from stored catalogue samples. They do not list every matching dataset.
Publishers with this format
Dataset examples from the source catalogue
These titles come from stored source records. Some records lack a direct dataset URL.
食中毒統計調査_令和6年食中毒統計調査_年次_2024年
Formats: csv · Metadata date: 2026-06-24
Find this exact title on the source portal.
食中毒統計調査_令和7年食中毒統計調査_年次_2025年
Formats: csv · Metadata date: 2026-06-24
Find this exact title on the source portal.
課税対象所得:総務省『市町村税課税状況等の調』
Formats: xls, xlsx, csv · Metadata date: 2023-06-14
Find this exact title on the source portal.
情報通信白書_令和2年版(7)
Formats: csv, xlsx · Metadata date: 2023-06-16
Find this exact title on the source portal.
平成26年度_年次報告書
Formats: csv, html, zip, avi · Metadata date: 2025-07-10
Find this exact title on the source portal.
平成29年度_年次報告書(csv)(1/2)
Formats: csv, zip, xlsx · Metadata date: 2025-07-08
Find this exact title on the source portal.
Sources and method
This article combines catalogue measurements with a reusable technical procedure. The calculations use the dated export above.
- Python CSV reference
- Country catalogue and source details
- Format measurement method
- Export and reuse terms
Dataset titles remain subject to the source terms. Read the portal source details.