---
license: odbl
language:
- en
task_categories:
- tabular-classification
- tabular-regression
multilinguality: monolingual
size_categories:
- n<1K
tags:
- tabular
- xlsx
- africa
- morocco
- official-statistics
- open-data
pretty_name: "Les données financières – État des recettes du budget de fonctionnement | Africa (Morocco official open data)"
---

# Les données financières – État des recettes du budget de fonctionnement | Africa (Morocco official open data)

81 rows - 1 Africa country - not-applicable - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

![rows](https://img.shields.io/badge/rows-81-blue)
![countries](https://img.shields.io/badge/countries-1-green)
![years](https://img.shields.io/badge/years-not-applicable-orange)
![indicators](https://img.shields.io/badge/indicators-0-purple)
![license](https://img.shields.io/badge/license-odbl-lightgrey)

## TL;DR

This dataset packages one official `XLSX` resource from **Morocco** as
ML-ready Parquet. The source file is the provenance boundary; all usable
indicators or tabular columns from the resource stay together in this repo.

## About the source

- **Source:** [Les données financières – État des recettes du budget de fonctionnement](https://data.gov.ma/data/dataset/les-donnees-financieres-de-l-annee-2024-etat-des-recettes-du-budget-de-fonctionnement)
- **Publisher:** Commune Ait Melloul
- **Resource:** [البيانات المالية لسنة _2025_بيان_ت_مداخيل_التسيير_.xlsx](https://data.gov.ma/data/ar/dataset/4a423865-33ea-49d5-8cd1-99b24674587b/resource/3e93c5ed-450b-4ed0-9d5c-1d249825d82c/download/-_2025_____.xlsx)
- **Format:** `XLSX`
- **License:** [Open Data Commons Open Database License](https://opendatacommons.org/licenses/odbl/)
- **Packaging mode:** `tabular_resource`

## Geographic coverage

1 Africa country:

| Country | Rows | First year | Last year | Name |
|---------|-----:|-----------:|----------:|------|
| `MAR` | 81 | n/a | n/a | `Morocco` |

## Indicators or Resource Contents

- This source file is packaged as a normalized tabular resource.

## Schema

| Column | Type | Description | Example |
|--------|------|-------------|---------|
| `source_record_id` | `string` | Stable row identifier for tabular resources. | `3e93c5ed-450b-4ed0-9d5c-1d249825d82c:dataset:0` |
| `country_iso3` | `string` | ISO3 country code. | `MAR` |
| `country_name` | `string` | Country name. | `Morocco` |
| `source_sheet` | `string` | Workbook sheet name, when the source is a spreadsheet. | `بيان ت مداخيل التسيير` |
| `column` | `string` | Source column. | `10/10/10.11` |
| `column_2` | `float64` | Source column. | `` |
| `column_3` | `string` | Source column. | `رسم تصديق الإمضاء والإشهاد بالتطابق` |
| `column_4` | `float64` | Source column. | `900000.0` |
| `column_5` | `float64` | Source column. | `1227000.0` |
| `column_6` | `float64` | Source column. | `1227000.0` |
| `source_provider` | `string` | Publishing organization. | `Commune Ait Melloul` |
| `source_dataset` | `string` | Source package title. | `Les données financières – État des recettes du budget de fonctionnement` |
| `source_resource` | `string` | Source resource title. | `البيانات المالية لسنة _2025_بيان_ت_مداخيل_التسيير_.xlsx` |
| `source_package_id` | `string` | CKAN package UUID. | `4a423865-33ea-49d5-8cd1-99b24674587b` |
| `source_resource_id` | `string` | CKAN resource UUID. | `3e93c5ed-450b-4ed0-9d5c-1d249825d82c` |
| `source_url` | `string` | Original source resource URL. | `https://data.gov.ma/data/ar/dataset/4a423865-33ea-49d5-8cd1-99b24674587b` |
| `license_id` | `string` | Source license identifier. | `odc-odbl` |
| `retrieved_at` | `string` | UTC retrieval timestamp. | `2026-07-16T22:26:50Z` |

## Usage

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-morocco-les-donnees-financieres-etat-des-recettes-du-budget-de-fon-3e476d5f")
df = ds["train"].to_pandas()
print(df.head())
```

### Filter to one country

```python
sample_country = df[df["country_iso3"] == "MAR"]
```

### Work with indicators

```python
if "indicator_id" in df.columns:
    print(df["indicator_id"].value_counts().head())
    sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])
```

## Citation

```bibtex
@misc{electric_sheep_africa_africa_morocco_les_donnees_financieres_etat_des_recettes_du_budget_de_fon_3e476d_2026,
  title        = {Les données financières – État des recettes du budget de fonctionnement | Africa (Morocco official open data)},
  author       = {Commune Ait Melloul},
  year         = {2026},
  url          = {https://data.gov.ma/data/dataset/les-donnees-financieres-de-l-annee-2024-etat-des-recettes-du-budget-de-fonctionnement},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-morocco-les-donnees-financieres-etat-des-recettes-du-budget-de-fon-3e476d5f}}
}
```

## License

Released under [Open Data Commons Open Database License](https://opendatacommons.org/licenses/odbl/).

Original data (c) Commune Ait Melloul. When using this dataset, please cite both the
original source above and the Electric Sheep Africa repackaging.

## About Electric Sheep

Electric Sheep Africa is part of the Electric Sheep mission: a unified,
ML-ready data layer for Africa on Hugging Face. We pull data from authoritative
open sources, normalize the schemas, package as Parquet, and publish with
consistent dataset cards so researchers and developers can use `load_dataset()`
to start working in seconds.

Browse the full collection: [huggingface.co/electricsheepafrica](https://huggingface.co/electricsheepafrica)

---

Provenance: ingested 2026-07-16 via the Electric Sheep pipeline. Source URL:
https://data.gov.ma/data/ar/dataset/4a423865-33ea-49d5-8cd1-99b24674587b/resource/3e93c5ed-450b-4ed0-9d5c-1d249825d82c/download/-_2025_____.xlsx