electricsheepafrica/africa-mali-mali-output-indicators-report-sep2016-1b4f027b

Mali Output Indicators Report Sep2016 | Africa (Mali official open data)

1,138 rows - 1 Africa country - 2016 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official XLSX resource from Mali 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: Mali Output Indicators Report Sep2016
• Publisher: Sahel ORS (inactive)
• Resource: ClusterIndicatorReport-Mali-2016-10-21.xlsx
• Format: XLSX
• License: CC BY 4.0
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
MLI	1,138	2016	2016	Mali

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.	034449e8-bc6d-441e-bea1-640679f96cc9:mali-output-indicators:0
country_iso3	category	ISO3 country code.	MLI
country_name	category	Country name.	Mali
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	Mali_Output_Indicators
year	Int64	Observation year.	2016
country	string	Source column.	#country
cluster	string	Source column.	#cluster
indicator	string	Source column.	#indicator
unit	string	Measurement unit, when available.	#unit
achievedlocation	string	Source column.	#adm1
targettotal	float64	Source column.	``
targetmale	float64	Source column.	``
targetfemale	float64	Source column.	``
achievedtotal	float64	Source column.	``
achievedmale	float64	Source column.	``
achievedfemale	float64	Source column.	``
runningvalue	float64	Source column.	``
isregional	string	Source column.	``
month	string	Source column.	#month
monthid	float64	Source column.	``
countryid	float64	Source column.	``
achievedlocationpcode	string	Source column.	#adm1+code
source_period_start_year	Int64	First year inferred from source resource metadata.	2016
source_period_end_year	Int64	Last year inferred from source resource metadata.	2016
source_period_label	category	Human-readable period inferred from source resource metadata.	2016
source_provider	category	Publishing organization.	Sahel ORS (inactive)
source_dataset	category	Source package title.	Mali Output Indicators Report Sep2016
source_resource	category	Source resource title.	ClusterIndicatorReport-Mali-2016-10-21.xlsx
source_package_id	category	CKAN package UUID.	99d50317-fcc1-40fc-8f01-03aec0efb698
source_resource_id	category	CKAN resource UUID.	034449e8-bc6d-441e-bea1-640679f96cc9
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/99d50317-fcc1-40fc-8f01-03aec0efb698/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-13T10:40:31Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mali-mali-output-indicators-report-sep2016-1b4f027b")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "MLI"]

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_mali_mali_output_indicators_report_sep2016_1b4f027b_2016,
  title        = {Mali Output Indicators Report Sep2016 | Africa (Mali official open data)},
  author       = {Sahel ORS (inactive)},
  year         = {2016},
  url          = {https://data.humdata.org/dataset/mali-output-indicators-report-sep2016},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mali-mali-output-indicators-report-sep2016-1b4f027b}}
}

License

Released under CC BY 4.0.

Original data (c) Sahel ORS (inactive). 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

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Provenance: ingested 2026-08-13 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/99d50317-fcc1-40fc-8f01-03aec0efb698/resource/034449e8-bc6d-441e-bea1-640679f96cc9/download/clusterindicatorreport-mali-2016-10-21.xlsx