electricsheepafrica/africa-ethiopia-malnutrition-prevalence

Ethiopia - Malnutrition Prevalence

Publisher: OCHA Ethiopia · Source: HDX · License: cc-by · Updated: 2025-06-16

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Abstract

This dataset contains the prevalence of malnutrition(i.e GAM and SAM rates) at woreda level in Ethiopia.

Each row in this dataset represents subnational administrative unit observations. Temporal coverage is indicated by the start_date, end_date column(s). Geographic scope: ETH.

Curated into ML-ready Parquet format by Electric Sheep Africa.

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Dataset Characteristics

Domain	Water, sanitation and hygiene (wash)
Unit of observation	Subnational administrative unit observations
Rows (total)	301
Columns	31 (14 numeric, 14 categorical, 3 datetime)
Train split	240 rows
Test split	60 rows
Geographic scope	ETH
Publisher	OCHA Ethiopia
HDX last updated	2025-06-16

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Variables

Geographic — region (Tigray, Somali, Oromia), woreda (Abaala, Kelafo, Adar), zone (Central, Eastern, North Western), coverage_livelyhood_zone (Woreda, Zone, Livelihood), type_of_assessment (SMART+, SMART, EFSA) and 6 others.

Temporal — start_date, end_date, stunting_among_children_6_59_months_per_haz_2sd (range 0.0–8533.6), underweight_among_children_6_59_months_per_waz_2sd (range 0.0–6978.0), deworming_coverage_for_children_aged_12_59_months (range 0.0–16683.4) and 2 others.

Demographic — stage_of_alert (>=15% GAM), High/Serious (10% - 15% GAM), Medium/Poor (5% - < 10% GAM)).

Identifier / Metadata — pcode (ET020203, ET010106, ET010608), esa_source, esa_processed.

Other — partner (RENCU, ENCU, AAH), conducted, access_to_unimproved_sanitation_facilities (range 0.0–15898.2), access_to_safe_improved_water_for_drinking_and_cooking (range 0.0–16007.6), children_gam_wfh (range 0.15–4698.36) and 4 others.

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-ethiopia-malnutrition-prevalence")
train = ds["train"].to_pandas()
test  = ds["test"].to_pandas()

print(train.shape)
train.head()

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Schema

Column	Type	Null %	Range / Sample Values
region	object	0.3%	Tigray, Somali, Oromia
woreda	object	1.3%	Abaala, Kelafo, Adar
pcode	object	3.7%	ET020203, ET010106, ET010608
zone	object	6.0%	Central, Eastern, North Western
partner	object	6.0%	RENCU, ENCU, AAH
coverage_livelyhood_zone	object	0.3%	Woreda, Zone, Livelihood
start_date	datetime64[ns]	37.5%
end_date	datetime64[ns]	48.8%
conducted	datetime64[ns]	25.2%
type_of_assessment	object	0.3%	SMART+, SMART, EFSA
access_to_unimproved_sanitation_facilities	float64	39.9%	0.0 – 15898.2 (mean 133.4735)
access_to_safe_improved_water_for_drinking_and_cooking	float64	37.2%	0.0 – 16007.6 (mean 146.3989)
stunting_among_children_6_59_months_per_haz_2sd	float64	44.5%	0.0 – 8533.6 (mean 86.9605)
underweight_among_children_6_59_months_per_waz_2sd	float64	41.5%	0.0 – 6978.0 (mean 67.1023)
stage_of_alert	object	18.6%	>=15% GAM), High/Serious (10% - 15% GAM), Medium/Poor (5% - < 10% GAM)
children_gam_wfh	float64	1.0%	0.15 – 4698.36 (mean 27.6621)
children_sam_wfh	float64	1.3%	0.0 – 695.7 (mean 4.2114)
children_gam_muac	object	29.6%	27.9, 19.2, 25.0
children_sam_muac	object	29.6%	5.4% (3.9 - 7.5 95% CI), 5.7% (2.9 - 10.8 95% CI), 1.7%
cmr_10000_persons_day	float64	3.7%	0.0 – 86.33 (mean 0.5194)
u5mr_10000_persons_day	float64	9.0%	0.0 – 141.2 (mean 0.9197)
early_initiation_of_breast_feeding_for_0_23_months	float64	39.9%	15.4 – 17167.4 (mean 163.2525)
exclusive_breastfeeding_under_6_months	float64	39.9%	14.5 – 16483.6 (mean 154.1265)
deworming_coverage_for_children_aged_12_59_months	float64	40.2%	0.0 – 16683.4 (mean 160.5856)
measles_vaccination_coverage_for_children_aged_9_59_months	float64	39.9%	0.0 – 23851.6 (mean 219.9481)
vitamin_a_supplementation_coverage_for_children_aged_6_59_month	float64	39.9%	0.0 – 21898.4 (mean 202.7718)
minimum_dietary_diversity	float64	70.8%	0.0 – 567.0 (mean 12.7841)
pluasibility_score	object	65.4%
link	object	10.0%
esa_source	object	0.0%
esa_processed	object	0.0%

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Numeric Summary

Column	Min	Max	Mean	Median
access_to_unimproved_sanitation_facilities	0.0	15898.2	133.4735	58.4
access_to_safe_improved_water_for_drinking_and_cooking	0.0	16007.6	146.3989	75.0
stunting_among_children_6_59_months_per_haz_2sd	0.0	8533.6	86.9605	40.9
underweight_among_children_6_59_months_per_waz_2sd	0.0	6978.0	67.1023	30.0
children_gam_wfh	0.15	4698.36	27.6621	11.6
children_sam_wfh	0.0	695.7	4.2114	1.5
cmr_10000_persons_day	0.0	86.33	0.5194	0.19
u5mr_10000_persons_day	0.0	141.2	0.9197	0.25
early_initiation_of_breast_feeding_for_0_23_months	15.4	17167.4	163.2525	75.9
exclusive_breastfeeding_under_6_months	14.5	16483.6	154.1265	68.0
deworming_coverage_for_children_aged_12_59_months	0.0	16683.4	160.5856	65.7
measles_vaccination_coverage_for_children_aged_9_59_months	0.0	23851.6	219.9481	94.0
vitamin_a_supplementation_coverage_for_children_aged_6_59_month	0.0	21898.4	202.7718	90.0
minimum_dietary_diversity	0.0	567.0	12.7841	3.0

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Curation

Raw data was downloaded from HDX via the CKAN API and converted to Parquet. Column names were lowercased and standardised to snake_case. Common missing-value markers (N/A, null, none, -, unknown, no data, #N/A) were unified to NaN. 7 column(s) with >80% missing values were removed: start_and_end_date_start, start_and_end_date_end, women_gam_wfh, women_sam_wfh, women_gam_muac, women_sam_muac.... 94 exact duplicate rows were removed. 3 column(s) were cast from string to numeric or datetime based on parse-success rate (>85% threshold). The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet.

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Limitations

• Data originates from OCHA Ethiopia and has not been independently validated by ESA.
• Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
• The following columns have >20% missing values and should be treated with caution in modelling: start_date, end_date, conducted, access_to_unimproved_sanitation_facilities, access_to_safe_improved_water_for_drinking_and_cooking, stunting_among_children_6_59_months_per_haz_2sd, underweight_among_children_6_59_months_per_waz_2sd, children_gam_muac....
• Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

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Citation

@dataset{hdx_africa_ethiopia_malnutrition_prevalence,
  title     = {Ethiopia - Malnutrition Prevalence},
  author    = {OCHA Ethiopia},
  year      = {2025},
  url       = {https://data.humdata.org/dataset/ethiopia-malnutrition-prevalence},
  note      = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

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Electric Sheep Africa — Africa's ML dataset infrastructure. Lagos, Nigeria.