electricsheepafrica/africa-somalia-igad-regional-focus-of-the-2024-global-report-on-food-cris-02a539d2

Igad Regional Focus of the 2024 Global Report On Food Cris | Africa (Food Security Information Network)

98 rows - 1 Africa country/area - 2024 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 98 rows from Food Security Information Network, covering Igad Regional Focus of the 2024 Global Report On Food Cris. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Agriculture datasets help analysts examine production, prices, inputs, land use, food systems, and rural economic activity.

Source-provided context: Data from the IGAD Regional Focus of the 2024 Global Report on Food Crises.

How To Read This Dataset

• One row means: one source record from the original tabular resource, with Electric Sheep Africa provenance columns added where available.
• Primary geography column: country_iso3.
• Best time column: year.
• Time coverage basis: year.
• Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

Dimension	Value
Rows	98
Countries/areas	1
First period	2024
Last period	2024
Indicators	0
Columns	43
Source format	XLSX

Geographic Coverage

Top areas shown below, sorted by row count when available:

Area	Rows	First year	Last year	Name
SOM	98	2024	2024	Somalia

Indicators, Variables, Or Resource Contents

• This repo preserves one source tabular resource with its usable columns kept together.

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier assigned during Electric Sheep Africa engineering.	a58a4fc6-ce62-4a7d-9df8-fce458dc1fc7:readme:0
country_iso3	dictionary<values=string, indices=int8, ordered=0>	ISO3 country or area code.	SOM
country_name	dictionary<values=string, indices=int8, ordered=0>	Country or area name.	Somalia
source_sheet	string	Source column from the original resource.	ReadMe
year	int64	Observation year.	2024
grfc_publication	string	Source column from the original resource.	Year of reference
the_year_of_actual_publication_of_the_grfc	string	Source column from the original resource.	The data reported in the GRFC are usually referring to the year befor...
source_period_start_year	int64	Start year inferred from source metadata.	2024
source_period_end_year	int64	End year inferred from source metadata.	2024
source_period_label	dictionary<values=string, indices=int8, ordered=0>	Source column from the original resource.	2024
source_provider	dictionary<values=string, indices=int8, ordered=0>	Publishing organization.	Food Security Information Network
source_dataset	dictionary<values=string, indices=int8, ordered=0>	Source dataset or package title.	IGAD Regional Focus of the 2024 Global Report on Food Crises
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	IGAD regional report data.xlsx
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	c24dc6db-1155-49da-bfbd-228f2f6c2d8d
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	a58a4fc6-ce62-4a7d-9df8-fce458dc1fc7
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://data.humdata.org/dataset/c24dc6db-1155-49da-bfbd-228f2f6c2d8d...
license_id	dictionary<values=string, indices=int8, ordered=0>	Source license identifier.	cc-by
retrieved_at	dictionary<values=string, indices=int8, ordered=0>	UTC source retrieval timestamp from the Electric Sheep Africa pipeline.	2026-08-10T14:51:11Z
countries_territories	string	Source column from the original resource.	``
igad_rr_edition	double	Source column from the original resource.	``
year_of_reference	double	Source column from the original resource.	``
selection_in_the_grfc	string	Source column from the original resource.	``
selection_criteria	string	Source column from the original resource.	``
availability_of_data	string	Source column from the original resource.	``
source	string	Source column from the original resource.	``
total_country_population	double	Source column from the original resource.	``
population_analysed	double	Source column from the original resource.	``
pop_analysed_of_tot_country_pop	double	Source column from the original resource.	``
analysis_period	string	Source column from the original resource.	``
population_in_phase_3_or_above	double	Source column from the original resource.	``
population_in_phase_3_or_above_2	double	Source column from the original resource.	``
population_in_phase_1	string	Source column from the original resource.	``
population_in_phase_1_2	string	Source column from the original resource.	``
population_in_phase_2	double	Source column from the original resource.	``
population_in_phase_2_2	double	Source column from the original resource.	``
population_in_phase_3	string	Source column from the original resource.	``
population_in_phase_3_2	string	Source column from the original resource.	``
population_in_phase_4	string	Source column from the original resource.	``
population_in_phase_4_2	string	Source column from the original resource.	``
population_phase_5	string	Source column from the original resource.	``
population_phase_5_2	string	Source column from the original resource.	``
major_food_crisis	string	Source column from the original resource.	``
primary_driver	string	Source column from the original resource.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-somalia-igad-regional-focus-of-the-2024-global-report-on-food-cris-02a539d2")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

print(df.info())
print(df.head())

Filter By Geography

if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "SOM"]

Time-Series Pattern

if "value" in df.columns and "year" in df.columns:
    trend = df.sort_values("year")

Pivot For Analysis

if {"indicator_id", "year", "value"}.issubset(df.columns):
    matrix = df.pivot_table(index="year", columns="indicator_id", values="value")
    print(matrix.tail())

Data Quality Notes

• Canonical time field: year.
• Missing values are preserved rather than silently imputed.
• Column names are standardized for machine use; source meanings are preserved where known.
• Always confirm source methodology, units, and collection definitions before policy, production, or redistribution-sensitive use.

Source And Provenance

• Source: Food Security Information Network
• Publisher: Food Security Information Network
• Portal: https://data.humdata.org
• Resource: IGAD regional report data.xlsx
• License: CC BY 4.0
• Retrieved/generated: 2026-08-10T15:56:20Z
• Hugging Face repo: electricsheepafrica/africa-somalia-igad-regional-focus-of-the-2024-global-report-on-food-cris-02a539d2

Transformations Applied

• Converted the source table to Parquet for efficient analytics and ML workflows.
• Added or preserved source provenance columns where available.
• Standardized README metadata, dataset loading configuration, schema documentation, and citation format.
• Preserved source-reported values without analytical imputation.

Suggested Analyses

• Track production or price movements
• Compare regions or commodities
• Join with climate and trade data
• Build time-series views and period-over-period comparisons
• Check missingness before modeling
• Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_somalia_igad_regional_focus_of_the_2024_global_report_on_food_cris_02a539_2024,
  title        = {Igad Regional Focus of the 2024 Global Report On Food Cris | Africa (Food Security Information Network)},
  author       = {Food Security Information Network},
  year         = {2024},
  url          = {https://data.humdata.org/dataset/igad-regional-focus-of-the-2024-global-report-on-food-crises},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-somalia-igad-regional-focus-of-the-2024-global-report-on-food-cris-02a539d2}}
}

License

Released under CC BY 4.0.

Original data is published by Food Security Information Network. Electric Sheep Africa engineering standardizes the data for discovery, loading, and analysis on Hugging Face. Cite both the original source and this ML-ready dataset when used.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.

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Provenance: README standardized 2026-08-12 by the Electric Sheep Africa README system. Source URL: https://data.humdata.org/dataset/igad-regional-focus-of-the-2024-global-report-on-food-crises