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Datasets:
electricsheepafrica
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nigerian_realestate_residential_listings

Tasks:
Tabular Regression
Modalities:
Tabular
Text
Formats:
parquet
Size:
100K - 1M
Tags:
nigeria
real-estate
property
housing
Synthetic
property-listings-and-sales
Libraries:
Datasets
pandas
License:
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metadata
license: mit
task_categories:
  - tabular-regression
tags:
  - nigeria
  - real-estate
  - property
  - housing
  - synthetic
  - property-listings-and-sales
size_categories:
  - 100K<n<1M

Nigeria Real Estate – Residential Listings

Dataset Description

Residential properties for sale with pricing, location, size, amenities.

Category: Property Listings & Sales
Rows: 300,000
Format: CSV, Parquet
License: MIT
Synthetic: Yes (generated using reference data from PropertyPro, Knight Frank, NBS, CBN, FMBN)

Dataset Structure

Schema

  • listing_id: string
  • city: string
  • neighborhood: string
  • property_type: string
  • bedrooms: integer
  • bathrooms: integer
  • size_sqm: integer
  • age_years: integer
  • price: integer
  • price_per_sqm: float
  • amenities: string
  • listing_date: string

Sample Data 

| listing_id   | city   | neighborhood   | property_type   |   bedrooms |   bathrooms |   size_sqm |   age_years |    price |   price_per_sqm | amenities                                                | listing_date   |
|:-------------|:-------|:---------------|:----------------|-----------:|------------:|-----------:|------------:|---------:|----------------:|:---------------------------------------------------------|:---------------|
| PROP-0947409 | Lagos  | Isolo          | detached        |          3 |           2 |        434 |           8 | 43536798 |          100315 | borehole, fitted_kitchen, air_conditioning, gym          | 2022-08-28     |
| PROP-0662717 | Lagos  | Surulere       | flat            |          1 |           1 |        101 |          27 | 13012328 |          128835 | swimming_pool, garden, servant_quarters                  | 2024-08-04     |
| PROP-0703058 | Abuja  | Karu           | flat            |          3 |           2 |        183 |          28 | 19237848 |          105125 | borehole, generator, garden, servant_quarters            | 2022-07-19     |
| PROP-0242440 | Lagos  | Chevron        | flat            |          3 |           2 |        156 |          11 | 36218295 |          232169 | fitted_kitchen, security, solar_panels, garden, borehole | 2024-12-17     |
| PROP-0291501 | Lagos  | Festac         | flat            |          3 |           2 |         92 |           6 | 14078411 |          153026 | cctv, security, generator, air_conditioning              | 2022-02-28     |

Data Generation Methodology

This dataset was synthetically generated using:

  1. Reference Sources:

    • PropertyPro & Nigeria Property Centre - listing prices, property types, locations
    • Knight Frank & Pam Golding - market reports, prime property indices, investment analysis
    • NBS (National Bureau of Statistics) - real estate GDP contribution, construction statistics
    • CBN (Central Bank of Nigeria) - mortgage lending data, interest rates
    • FMBN (Federal Mortgage Bank) - NHF contributions, mortgage disbursements
    • State land registries - title processing times, transaction volumes

  2. Domain Constraints:

    • Location pricing hierarchy (Lagos: Ikoyi > Lekki > Surulere > Ikorodu)
    • Property types (detached, semi-detached, terrace, flat, bungalow)
    • Title types (C of O, Deed of Assignment, Governor's Consent)
    • Mortgage characteristics (3% penetration, 18-25% interest, 60-70% LTV)
    • Rental yields (4-10% by location tier)

  3. Quality Assurance:

    • Distribution testing (price per sqm follows lognormal within tiers)
    • Correlation validation (location-price r > 0.7, size-price r > 0.8)
    • Causal consistency (property valuation models, market dynamics)
    • Multi-scale coherence (property → neighborhood → city aggregations)
    • Ethical considerations (representative, unbiased, privacy-preserving)

See QUALITY_ASSURANCE.md in the repository for full methodology.

Use Cases

  • Machine Learning: Property price prediction, location scoring, investment ROI forecasting
  • Market Analysis: Price trends, supply-demand dynamics, market segmentation
  • Investment: Rental yield optimization, portfolio analysis, risk assessment
  • Urban Planning: Housing demand forecasting, infrastructure impact analysis
  • Research: Real estate market dynamics, affordability studies, diaspora investment patterns

Limitations

  • Synthetic data: While grounded in real distributions from PropertyPro/Knight Frank/NBS, individual records are not real transactions
  • Simplified dynamics: Some complex interactions (e.g., negotiation, market sentiment) are simplified
  • Temporal scope: Covers 2022-2025; may not reflect longer-term trends or future policy changes
  • Title issues: Models title problems statistically but doesn't capture full legal complexity

Citation

If you use this dataset, please cite:

@dataset{nigeria_realestate_2025,
  title = {Nigeria Real Estate – Residential Listings},
  author = {Electric Sheep Africa},
  year = {2025},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/electricsheepafrica/nigerian_realestate_residential_listings}
}

Related Datasets

This dataset is part of the Nigeria Real Estate & Property Markets collection:

Contact

For questions, feedback, or collaboration:

Changelog

Version 1.0.0 (October 2025)

  • Initial release
  • 300,000 synthetic records
  • Quality-assured using PropertyPro/Knight Frank/NBS/CBN reference data