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governorate_english_name
stringlengths
4
13
governorate_arabic_name
stringlengths
3
15
governorate_code
float64
1
35
male
float64
49.5k
36.8M
female
float64
34.9k
35.2M
total
float64
84.4k
72M
esa_source
stringclasses
1 value
esa_processed
stringdate
2026-04-29 00:00:00
2026-04-29 00:00:00
Qena
قنا
27
1,522,320
1,485,092
3,007,412
HDX
2026-04-29
Alexandria
الاسكندرية
2
2,036,177
1,954,570
3,990,747
HDX
2026-04-29
Suhag
سوهاج
26
1,893,374
1,843,795
3,737,169
HDX
2026-04-29
Kafr El-Shikh
كفر الشيخ
15
1,321,136
1,292,573
2,613,709
HDX
2026-04-29
Luxor
الأقصر
29
228,105
221,685
449,790
HDX
2026-04-29
Giza
الجيزة
21
3,217,926
3,025,273
6,243,199
HDX
2026-04-29
Menia
المنيا
24
2,050,959
1,963,355
4,014,314
HDX
2026-04-29
Aswan
أسوان
28
576,890
571,637
1,148,527
HDX
2026-04-29
Beni Suef
بنى سويف
22
1,154,918
1,154,521
2,309,439
HDX
2026-04-29
Cairo
القاهرة
1
4,107,476
3,849,060
7,956,536
HDX
2026-04-29
Asyout
اسيوط
25
1,718,314
1,669,231
3,387,545
HDX
2026-04-29
South Sinai
جنوب سيناء
35
49,486
34,910
84,396
HDX
2026-04-29
Behera
الــبــحـــيـرة
18
2,372,040
2,257,309
4,629,349
HDX
2026-04-29
Sharkia
الشرقية
13
2,722,928
2,580,100
5,303,028
HDX
2026-04-29
Suez
السويس
4
257,762
250,544
508,306
HDX
2026-04-29
Menoufia
المنوفية
17
1,676,029
1,583,100
3,259,129
HDX
2026-04-29
Total
null
null
36,785,553
35,216,089
72,001,642
HDX
2026-04-29
Port Said
بورسعيد
3
283,592
275,989
559,581
HDX
2026-04-29
Damietta
دمياط
11
558,977
564,940
1,123,917
HDX
2026-04-29
Gharbia
الغربية
16
2,025,180
1,973,019
3,998,199
HDX
2026-04-29
Kalyoubia
القليوبية
14
2,179,638
2,059,113
4,238,751
HDX
2026-04-29
North Sinai
شمال سيناء
34
166,516
156,258
322,774
HDX
2026-04-29
Dakahlia
الدقهليه
12
2,516,664
2,438,381
4,955,045
HDX
2026-04-29

Egypt - Population Statistics | Africa (original)

Size category: n<1K - Formats: parquet - Sector: demographics_social - Engineered by Electric Sheep Africa

size sector downloads license

TL;DR

This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.

What This Dataset Covers

Public datasets help analysts inspect structured evidence, build reproducible workflows, and compare patterns across domains.

Dataset context from the existing Hugging Face card: Egypt - Population Statistics Publisher: OCHA Middle East and North Africa (ROMENA) · Source: HDX · License: hdx-other · Updated: 2024-06-13 Abstract Population Data 2006. Population data at Province, District and Sub-district level. (Census 2006) Each row in this dataset represents tabular records. Data was last updated on HDX on 2024-06-13. Geographic scope: EGY. Curated into ML-ready Parquet format by Electric Sheep Africa. Dataset Characteristics… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-population-egypt.

Dataset Profile

Field Value
Hugging Face repo electricsheepafrica/africa-population-egypt
Sector demographics_social
Topic tags humanitarian, hdx, electric-sheep-africa, baseline-population, egy
Modalities tabular, text
Formats parquet
Size category n<1K
Countries Egypt
ISO3 coverage EGY
Last modified on HF 2026-04-29 18:46:46+00:00
Inventory snapshot 2026-07-16T16:00:34Z

How To Read This Dataset

  • Start from the repository files and the dataset viewer when available.
  • Treat the README context as a fast orientation layer; confirm variable definitions and units in the data files before modeling.
  • Use explicit country columns when present. When geography is only implied by the title or source metadata, document that assumption in downstream analysis.
  • Preserve missing values until you have a defensible imputation rule.

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-population-egypt")
print(ds)

split_name = next(iter(ds))
table = ds[split_name]
print(table.features)
print(table[:3])

Convert To Pandas When Tabular

from datasets import Dataset

first_split = ds[next(iter(ds))]
if isinstance(first_split, Dataset):
    df = first_split.to_pandas()
    print(df.head())

Data Quality Notes

  • This card was standardized from the Electric Sheep Africa Hugging Face metadata inventory.
  • Exact schema, row counts, and source files should be inspected in the repository data files.
  • Metadata gaps from the inventory: upstream_publisher.
  • Do not infer policy meaning from labels alone; confirm definitions, units, and methods in the source material.

Source And Provenance

Suggested Analyses

  • Inspect schema and missingness before modeling.
  • Profile variables by geography, time, and subgroup columns where present.
  • Join with other Electric Sheep Africa datasets using explicit country, year, and indicator fields when available.
  • Build reproducible notebooks that cite both the original source context and the Electric Sheep Africa Hugging Face repo.

Citation

@misc{electric_sheep_africa_africa_population_egypt_2026,
  title        = {Egypt - Population Statistics | Africa (original)},
  author       = {original},
  year         = {2026},
  url          = {https://huggingface.co/datasets/electricsheepafrica/africa-population-egypt},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-population-egypt}}
}

License

Released under Source-specific or other license.

Original source rights remain with the original publisher or data provider. Electric Sheep Africa engineering standardizes discovery metadata, documentation, and usage guidance for analysis on Hugging Face.

About Electric Sheep Africa

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


Provenance: metadata-backed README standardized 2026-08-12 by the Electric Sheep Africa README system. Inventory source: catalog/esa_metadata_inventory/master_metadata.jsonl.

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