electricsheepafrica/africa-mozambique-current-situation-fewsnet-ipc-classification

Mozambique Current Situation FEWS NET Acute Food Insecurity Classifications Data

Publisher: FEWS NET · Source: HDX · License: cc-by · Updated: 2026-04-01

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Abstract

Mozambique Current Situation FEWS NET Acute Food Insecurity Classifications Data from 2011

Each row in this dataset represents first-level administrative unit observations. Temporal coverage is indicated by the projection_start, projection_end column(s). Geographic scope: MOZ.

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

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Dataset Characteristics

Domain	Food security and nutrition
Unit of observation	First-level administrative unit observations
Rows (total)	9,087
Columns	40 (9 numeric, 23 categorical, 7 datetime)
Train split	7,269 rows
Test split	1,817 rows
Geographic scope	MOZ
Publisher	FEWS NET
HDX last updated	2026-04-01

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Variables

Geographic — country (Mozambique), country_code (MZ), fewsnet_region (Southern Africa), unit_type (fsc_admin_lhz, fsc_admin), specialization_type and 2 others.

Temporal — datacollectionperiod (range 158531.0–377925.0), reporting_date.

Outcome / Measurement — value (range 1.0–3.0).

Identifier / Metadata — source_organization (FEWS NET, Mozambique), source_document (Food Security Outlook, Mozambique), geographic_unit_full_name (Alto Molocue, Zambezia, Mozambique, Mecufi, Cabo Delgado, Mozambique, Massingir, Gaza, Mozambique), geographic_unit_name (North-Central Coastal Fishing, Northern Highland with Mixed Cropping, Northeastern Cassava, Cashew, and Coconut), fnid (MZ2009C11101, MZ2009C10210, MZ2009C10208) and 8 others.

Other — geographic_group (Eastern Africa), classification_scale, is_allowing_for_assistance, projection_start, projection_end and 12 others.

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-mozambique-current-situation-fewsnet-ipc-classification")
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
source_organization	object	0.0%	FEWS NET, Mozambique
source_document	object	0.0%	Food Security Outlook, Mozambique
country	object	0.0%	Mozambique
country_code	object	0.0%	MZ
geographic_group	object	0.0%	Eastern Africa
fewsnet_region	object	0.0%	Southern Africa
geographic_unit_full_name	object	0.0%	Alto Molocue, Zambezia, Mozambique, Mecufi, Cabo Delgado, Mozambique, Massingir, Gaza, Mozambique
geographic_unit_name	object	0.0%	North-Central Coastal Fishing, Northern Highland with Mixed Cropping, Northeastern Cassava, Cashew, and Coconut
unit_type	object	0.0%	fsc_admin_lhz, fsc_admin
fnid	object	0.0%	MZ2009C11101, MZ2009C10210, MZ2009C10208
classification_scale	object	0.0%
scenario_name	object	0.0%
preference_rating	int64	0.0%	90.0 – 90.0 (mean 90.0)
is_allowing_for_assistance	bool	0.0%
projection_start	datetime64[ns]	0.0%
projection_end	datetime64[ns]	0.0%
status	object	0.0%
value	float64	0.0%	1.0 – 3.0 (mean 1.4425)
description	object	0.0%
id	int64	0.0%	24359209.0 – 41422894.0 (mean 27458095.2796)
datacollectionperiod	int64	0.0%	158531.0 – 377925.0 (mean 210719.0898)
datacollection	int64	0.0%	168258.0 – 388759.0 (mean 221782.5272)
scenario	object	0.0%
geographic_unit	int64	0.0%	24965.0 – 203435.0 (mean 101794.9464)
datasourceorganization	int64	0.0%	2031.0 – 2031.0 (mean 2031.0)
datasourcedocument	int64	0.0%	6565.0 – 6565.0 (mean 6565.0)
dataseries	int64	0.0%	6472963.0 – 7847754.0 (mean 6585353.9275)
dataseries_name	object	0.0%
specialization_type	object	0.0%
dataseries_specialization_type	object	0.0%
data_usage_policy	object	0.0%
created	datetime64[ns]	0.0%
modified	datetime64[ns]	0.0%
status_changed	datetime64[ns]	0.0%
collection_status	object	0.0%
collection_status_changed	datetime64[ns]	0.0%
collection_schedule	object	0.0%
reporting_date	datetime64[ns]	0.0%
esa_source	object	0.0%
esa_processed	object	0.0%

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Numeric Summary

Column	Min	Max	Mean	Median
preference_rating	90.0	90.0	90.0	90.0
value	1.0	3.0	1.4425	1.0
id	24359209.0	41422894.0	27458095.2796	24520509.0
datacollectionperiod	158531.0	377925.0	210719.0898	159580.0
datacollection	168258.0	388759.0	221782.5272	168722.0
geographic_unit	24965.0	203435.0	101794.9464	87808.0
datasourceorganization	2031.0	2031.0	2031.0	2031.0
datasourcedocument	6565.0	6565.0	6565.0	6565.0
dataseries	6472963.0	7847754.0	6585353.9275	6507257.0

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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. 3 column(s) with >80% missing values were removed: pct_phase3, pct_phase4, pct_phase5. 7 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 FEWS NET and has not been independently validated by ESA.
• Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
• Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

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Citation

@dataset{hdx_africa_mozambique_current_situation_fewsnet_ipc_classification,
  title     = {Mozambique Current Situation FEWS NET Acute Food Insecurity Classifications Data},
  author    = {FEWS NET},
  year      = {2026},
  url       = {https://data.humdata.org/dataset/mozambique_current_situation_fewsnet_ipc_classification},
  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.