license: odbl
language:
- en
task_categories:
- tabular-classification
- tabular-regression
multilinguality: monolingual
size_categories:
- n<1K
tags:
- tabular
- xls
- africa
- morocco
- official-statistics
- open-data
pretty_name: >-
Solde budgétaire, taux d'intérêts et taux de chômage - Environnement
international | Africa (Morocco official open data)
Solde budgétaire, taux d'intérêts et taux de chômage - Environnement international | Africa (Morocco official open data)
29 rows - 1 Africa country - not-applicable - Repackaged by Electric Sheep Africa
TL;DR
This dataset packages one official XLS 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: Solde budgétaire, taux d'intérêts et taux de chômage - Environnement international
- Publisher: Ministère de l'Economie et des Finances
- Resource: Solde budgétaire, taux d’intérêt et taux de chômage 2014
- Format:
XLS - License: Open Data Commons Open Database License
- Packaging mode:
tabular_resource
Geographic coverage
1 Africa country:
| Country | Rows | First year | Last year | Name |
|---|---|---|---|---|
MAR |
29 | 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. | 81b60abe-d3a4-46c1-8d90-a53248e9d57a:feuil1:0 |
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. | Feuil1 |
principaux_pays_industrialises_1 |
string |
Source column. | Dont: États-Unis |
d_4_2664285714285715 |
float64 |
Source column. | -5.282285714285714 |
d_10_845 |
float64 |
Source column. | -14.719 |
d_9_612 |
float64 |
Source column. | -12.538 |
d_8_187 |
float64 |
Source column. | -11.034 |
d_7_321 |
float64 |
Source column. | -9.672 |
d_5_86 |
float64 |
Source column. | -7.339 |
d_5_103 |
float64 |
Source column. | -6.416 |
d_4_387 |
float64 |
Source column. | -5.637 |
source_provider |
string |
Publishing organization. | Ministère de l'Economie et des Finances |
source_dataset |
string |
Source package title. | Solde budgétaire, taux d'intérêts et taux de chômage - Environnement int |
source_resource |
string |
Source resource title. | Solde budgétaire, taux d’intérêt et taux de chômage 2014 |
source_package_id |
string |
CKAN package UUID. | 4f7b8fbd-6b67-4a5d-b875-4513e548cdab |
source_resource_id |
string |
CKAN resource UUID. | 81b60abe-d3a4-46c1-8d90-a53248e9d57a |
source_url |
string |
Original source resource URL. | https://data.gov.ma/data/fr/dataset/4f7b8fbd-6b67-4a5d-b875-4513e548cdab |
license_id |
string |
Source license identifier. | odc-odbl |
retrieved_at |
string |
UTC retrieval timestamp. | 2026-07-16T21:31:48Z |
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-morocco-solde-budgetaire-taux-d-interets-et-taux-de-chomage-enviro-47a85ba7")
df = ds["train"].to_pandas()
print(df.head())
Filter to one country
sample_country = df[df["country_iso3"] == "MAR"]
Work with indicators
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
@misc{electric_sheep_africa_africa_morocco_solde_budgetaire_taux_d_interets_et_taux_de_chomage_enviro_47a85b_2026,
title = {Solde budgétaire, taux d'intérêts et taux de chômage - Environnement international | Africa (Morocco official open data)},
author = {Ministère de l'Economie et des Finances},
year = {2026},
url = {https://data.gov.ma/data/dataset/solde-budgetaire-taux-d-interets-et-taux-de-chomage-environnement-international},
publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-morocco-solde-budgetaire-taux-d-interets-et-taux-de-chomage-enviro-47a85ba7}}
}
License
Released under Open Data Commons Open Database License.
Original data (c) Ministère de l'Economie et des Finances. 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
Provenance: ingested 2026-07-16 via the Electric Sheep pipeline. Source URL: https://data.gov.ma/data/fr/dataset/4f7b8fbd-6b67-4a5d-b875-4513e548cdab/resource/81b60abe-d3a4-46c1-8d90-a53248e9d57a/download/env-international-solde-budgetaire-mef-2014.xls