electricsheepafrica/africa-mali-the-regional-inform-sahel-model-e9ce802c

The regional INFORM Sahel model | Africa (Mali official open data)

700 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: The regional INFORM Sahel model
• Publisher: INFORM
• Resource: InfoRM_SAHEL 2016_v203.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	700	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.	07da9027-db7f-4abc-9665-f254e92038a1:home: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.	Home
year	Int64	Observation year.	2016
index_for_risk_management_inform_sahel	string	Source column.	(release: 5 November 2015 v 2.0.3)
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.	INFORM
source_dataset	category	Source package title.	The regional INFORM Sahel model
source_resource	category	Source resource title.	InfoRM_SAHEL 2016_v203.xlsx
source_package_id	category	CKAN package UUID.	05823a5a-a1e2-4ea0-96ea-3cf439f4ad37
source_resource_id	category	CKAN resource UUID.	07da9027-db7f-4abc-9665-f254e92038a1
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/05823a5a-a1e2-4ea0-96ea-3cf439f4ad37/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-13T10:40:31Z
table_of_contents	string	Source column.	``
sheets	string	Source column.	``
country	string	Source column.	``
admin1	string	Source column.	``
iso3	string	Source column.	``
iso_admin1	string	Source column.	``
food_insecurity_probability	string	Source column.	``
physical_exposure_to_flood	float64	Source column.	``
land_degradation	float64	Source column.	``
agriculture_droughts_probability	float64	Source column.	``
natural	float64	Source column.	``
political_violence	string	Source column.	``
conflict_intensity_regime_stability	float64	Source column.	``
human	float64	Source column.	``
hazard	float64	Source column.	``
development_deprivation	float64	Source column.	``
inequality	float64	Source column.	``
aid_dependency	float64	Source column.	``
socio_economic_vulnerability	float64	Source column.	``
uprooted_people	float64	Source column.	``
health_conditions	float64	Source column.	``
children_u5	float64	Source column.	``
malnutrition	float64	Source column.	``
recent_shocks	float64	Source column.	``
food_security	string	Source column.	``
other_vulnerable_groups	float64	Source column.	``
vulnerable_groups	float64	Source column.	``
vulnerability	float64	Source column.	``
drr	float64	Source column.	``
governance	float64	Source column.	``
institutional	float64	Source column.	``
communication	float64	Source column.	``
physical_infrastructure	float64	Source column.	``
access_to_health_care	float64	Source column.	``
infrastructure	float64	Source column.	``
lack_of_coping_capacity	float64	Source column.	``
risk	float64	Source column.	``
centre	string	Source column.	``
bfa	string	Source column.	``
bf_03	string	Source column.	``
d_3_4550426064371713	float64	Source column.	``
d_2_25	string	Source column.	``
d_0_0033380433505680335	float64	Source column.	``
d_0_21841250109403762	float64	Source column.	``
d_0_05627214694879342	float64	Source column.	``
d_1_4068036737198355	float64	Source column.	``
d_0_00011279703414005835	float64	Source column.	``
d_0	float64	Source column.	``
d_0_16113862020008263	float64	Source column.	``
d_7_291666666666667	float64	Source column.	``
d_2_25_2	string	Source column.	``
d_1_9550344668977182	float64	Source column.	``
d_1_4068036737198355_2	float64	Source column.	``
d_7_291666666666667_2	float64	Source column.	``
d_3_7058464188487723	float64	Source column.	``
d_5	float64	Source column.	``
d_0_2	float64	Source column.	``
x	string	Source column.	``
d_6_5054521560668945	float64	Source column.	``
d_5_752726078033447	float64	Source column.	``
d_5_752726078033447_2	float64	Source column.	``
adamaoua	string	Source column.	``
cmr	string	Source column.	``
cm_ad	string	Source column.	``
d_6_861538461538462	float64	Source column.	``
d_4_868582222222222	float64	Source column.	``
d_5_960569389079402	float64	Source column.	``
d_8_291565548318044	string	Source column.	``
d_9_299999999999999	float64	Source column.	``
d_8_795782774159022	float64	Source column.	``
d_1481469156	float64	Source column.	``
d_66_57103825885542	float64	Source column.	``
d_1_3314207651771088	float64	Source column.	``
d_1_5271998520240775	float64	Source column.	``
d_0_012091610306283031	float64	Source column.	``
d_0_0012091610306281808	float64	Source column.	``
d_0_9532765927439382	float64	Source column.	``
d_5_417549536265442	float64	Source column.	``
d_63093	float64	Source column.	``
d_5_999937260343078	float64	Source column.	``
d_0_05925299138717157	float64	Source column.	``
d_8_729541319230878	float64	Source column.	``
d_7_364739289786978	float64	Source column.	``
d_10	float64	Source column.	``
d_4_2727272727272725	float64	Source column.	``
d_8_583333333333334	float64	Source column.	``
d_0_09391373272339494	string	Source column.	``
d_2_6297296310827845	string	Source column.	``
d_0_4695686636169747	string	Source column.	``
d_5_572330356083009	string	Source column.	``
d_6_211624118645281	float64	Source column.	``
d_9_923076923076923	float64	Source column.	``
d_3_2222295954857474	float64	Source column.	``
d_6_572653259281335	float64	Source column.	``
d_1_1639196296764212	float64	Source column.	``
d_6_233332536595858	float64	Source column.	``
d_3_6986260831361397	float64	Source column.	``
d_5000	float64	Source column.	``
d_0_004695686636169747	float64	Source column.	``
d_0_46956866361697536	float64	Source column.	``
x_2	string	Source column.	``
d_4_639583154950769	float64	Source column.	``
d_6_187215298254134	float64	Source column.	``
banjul	string	Source column.	``
gmb	string	Source column.	``
gm_b	string	Source column.	``
d_2_9583333333333317	string	Source column.	``
d_0_37296378510253064	float64	Source column.	``
d_6_270362148974693	float64	Source column.	``
d_4_614347741154012	float64	Source column.	``
d_7_1	float64	Source column.	``
d_6_4363754987716675	float64	Source column.	``
d_6_768187749385834	float64	Source column.	``
d_5_691267745269923	float64	Source column.	``
d_8_118732915546264	float64	Source column.	``
d_8_6	float64	Source column.	``
d_5_1294003233266245	float64	Source column.	``
d_7_2827110796242955	float64	Source column.	``
d_3_5888888888888886	float64	Source column.	``
d_2_1400000000000006	float64	Source column.	``
d_2_8644444444444446	float64	Source column.	``
d_9_725	float64	Source column.	``
d_1_2214089724527164	float64	Source column.	``
d_3_58974358974359	float64	Source column.	``
d_9_838338983050846	float64	Source column.	``
d_6_093622886311788	float64	Source column.	``
d_5_413592803460176	float64	Source column.	``
iso_adm1	string	Source column.	``
chadre_harmonise	string	Source column.	``
land_degradation_low_status_medium_to_storng_degradation	float64	Source column.	``
land_degradation_high_status_medium_to_storng_degradatio	float64	Source column.	``
agriculture_droughts	float64	Source column.	``
total_affected_by_drought	string	Source column.	``
conflict_barometer	float64	Source column.	``
acled	float64	Source column.	``
political_stability	float64	Source column.	``
human_development_index	float64	Source column.	``
multidimensional_poverty_index	float64	Source column.	``
personal_remittances_received_current_us	float64	Source column.	``
humanitarian_aid_fts	float64	Source column.	``
development_aid_oda	float64	Source column.	``
development_aid_oda_2	float64	Source column.	``
net_oda_received_of_gni	float64	Source column.	``
mortality_rate_under_5	float64	Source column.	``
prevalence_of_underweight_in_children_0_59_months_of_age	float64	Source column.	``
phisicians_density	float64	Source column.	``
immunization_rate_or_1_year_olds_immunized_against_dtp	float64	Source column.	``
one_year_olds_fully_immunized_against_measles	float64	Source column.	``
tuberculosis_prevalence	float64	Source column.	``
estimated_number_of_people_living_with_hiv_adult_15_rate	float64	Source column.	``
cholera_reported_cases	string	Source column.	``
clinically_confirmed_measles_case	string	Source column.	``
health_expenditure_per_capita	float64	Source column.	``
malaria_death_rate	float64	Source column.	``
gender_inequality_index	string	Source column.	``
income_gini_coefficient	float64	Source column.	``
people_affected_by_natural_disasters	float64	Source column.	``
people_affected_by_natural_disasters_2	float64	Source column.	``
people_affected_by_natural_disasters_3	float64	Source column.	``
chadre_harmonise_2	string	Source column.	``
internally_displaced_persons_idps	float64	Source column.	``
refugees_by_country_of_asylum	float64	Source column.	``
returned_refugees	float64	Source column.	``
prevalence_of_gam_whz_in_children_6_59_months_of_age	float64	Source column.	``
prevalence_of_undernourishment	string	Source column.	``
prevalence_of_bilateral_edema_in_children_6_59_months_of	float64	Source column.	``
prevalence_of_chronic_malnutrition_in_women	float64	Source column.	``
prevalence_of_acute_malnutrition_muac_in_women	float64	Source column.	``
prevalence_of_low_body_mass_index_bmi_in_women	float64	Source column.	``
prevalence_of_obesity_in_women	float64	Source column.	``
hfa_scores_last_recent	string	Source column.	``
government_effectiveness	float64	Source column.	``
corruption_perception_index	float64	Source column.	``
access_to_electricity	string	Source column.	``
adult_liteacy_rate	float64	Source column.	``
internet_users	float64	Source column.	``
mobile_cellular_subscriptions	float64	Source column.	``
improved_sanitation_facilities_of_population_with_access	float64	Source column.	``
improved_water_source_of_population_with_access	float64	Source column.	``
gdp_per_capita_ppp_int_usd	float64	Source column.	``
population	float64	Source column.	``
bcpr_drr_recovery_recips	float64	Source column.	``
gfdrr_recipients	float64	Source column.	``
disaster_prevention_and_preparedness	float64	Source column.	``
physical_exposure_to_earthquake_mmi_vi	float64	Source column.	``
physical_exposure_to_earthquake_mmi_viii	float64	Source column.	``
physical_exposure_to_tsunami	float64	Source column.	``
physical_exposure_to_cyclone_ss1	float64	Source column.	``
physical_exposure_to_cyclone_ss3	float64	Source column.	``
physical_exposure_to_cyclone_surge	float64	Source column.	``
intentional_homicide	string	Source column.	``
u5_under_weight	float64	Source column.	``
average_dietary_energy_supply_adequacy	string	Source column.	``
domestic_food_price_level_index	string	Source column.	``
domestic_food_price_volatility_index	string	Source column.	``
road_density	string	Source column.	``
dimension	string	Source column.	``
category	string	Source column.	``
component	string	Source column.	``
sub_component	string	Source column.	``
inform_id	string	Source column.	``
indicator_name	string	Human-readable indicator name.	``
indicator_long_name	string	Source column.	``
resolution	string	Source column.	``
description	string	Source column.	``
relevance	string	Source column.	``
validity_limitation_of_indicator	string	Source column.	``
source	string	Source column.	``
url	string	Source column.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mali-the-regional-inform-sahel-model-e9ce802c")
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_the_regional_inform_sahel_model_e9ce802c_2016,
  title        = {The regional INFORM Sahel model | Africa (Mali official open data)},
  author       = {INFORM},
  year         = {2016},
  url          = {https://data.humdata.org/dataset/the-regional-inform-sahel-model},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mali-the-regional-inform-sahel-model-e9ce802c}}
}

License

Released under CC BY 4.0.

Original data (c) INFORM. 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 2026-08-13 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/05823a5a-a1e2-4ea0-96ea-3cf439f4ad37/resource/07da9027-db7f-4abc-9665-f254e92038a1/download/inform_sahel-2016_v203.xlsx