Data report · Luxembourg

Administration luxembourgeoise vétérinaire et alimentaire: a data access report

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.

This report examines the catalogue entry for Administration luxembourgeoise vétérinaire et alimentaire.

The saved export records 26 datasets and 47 listed format declarations.

The evidence describes 2026-08-30. It supports a comparison of catalogue contents, but not a claim about subsequent growth.

Open the government source →Inspect the country catalogue

Recorded datasets
26
Format declarations per dataset
1.81
Distinct format labels
2

The main format pattern

The largest normalized label is PDF. It appears on 46 resource records.

This represents 97.9% of the listed format declarations.

The two largest labels account for 100.0% of that total.

The export contains 47 format declarations across 2 normalized labels.

These are catalogue declarations. This report does not verify every file or service response.

Compare the resource structure

This entry has 1.81 listed format declarations per dataset.

The median among 43 listed publishers in Luxembourg is 4.53.

The entry records 0.8% of the datasets in the saved national portal export.

Multiple resources can indicate file versions, geographic parts, or alternative formats. A larger ratio does not prove better data.

The export retains up to 20 format labels per publisher. It excludes empty labels and some small publishers.

Check the two source counters

The dataset metadata declares 47 resources. The format table contains 47 declarations.

The two saved totals agree. This agreement does not verify the current files.

The percentages in this report use the listed format declarations as their denominator.

The export does not establish a verified count of unique, accessible files.

Interpret the metadata dates

The stored sample contains 26 dataset titles. 26 have a recorded modification date.

Those dates range from 2024-03-20 to 2025-12-31.

A catalogue edit can change the modification date without a change to the observations.

The sample can omit older records. It does not establish a publication rate or a complete historical series.

Compare the observation period on the source page before you describe a trend.

Checks for PDF

  1. Check whether the page contains text or a scanned image.
  2. Look for a CSV or spreadsheet alternative on the source page.
  3. Check every extracted column against the original table.
  4. Keep footnotes and units with the extracted values.
  5. Record the page number for each extracted table.

Plan access to the data

PDF preserves page presentation. A table that looks clear on a page can require extra work for analysis.

  1. Open the government source portal.
  2. Find the required dataset with its exact catalogue title.
  3. Confirm the observation period and geographic coverage.
  4. Read the licence for that dataset.
  5. Choose a file format that preserves the required fields.
  6. Record the source URL and access date.

What the evidence supports

The format table identifies the main access methods in the saved catalogue.

The declaration ratio describes the structure of the saved catalogue records.

Neither measure establishes the accuracy, completeness, or current availability of the underlying observations.

Use a second dated catalogue export before any claim that publication volume increased or decreased.

Recorded format mix

Normalized format labelListed declarationsShare of listed declarations
PDF4697.9%
XLSX12.1%

Dataset examples from the source catalogue

These titles come from stored source records. Some records lack a direct dataset URL.

Sources and method

This article combines catalogue measurements with a reusable technical procedure. The calculations use the dated export above.

Dataset titles remain subject to the source terms. Read the portal source details.

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