Nigerian House Price Dataset This dataset provides a comprehensive look at housing prices across various towns and states in Nigeria. It contains key features that influence property values. The variable in the dataset are:

bedrooms: Number of bedrooms in the property bathrooms: Number of bathrooms available toilets: Number of toilets available parking_space: Availability of parking spaces (measured in number of cars accommodated) title: This variable represent the house type town: The town where the property is located state: The state in Nigeria where the property is located ****price:**** The listed price of the property in Nigerian Naira (₦)

This dataset is valuable for analyzing real estate trends, predicting housing prices, and understanding the factors that drive property valuation in Nigeria. It offers insights into the housing market across different regions, making it a useful resource for data scientists, analysts, and real estate professionals.

Nigeria real estate and affordable housing market valued at USD 15 billion, driven by urbanization, population growth, and government initiatives for sustainable development.

Investigating Housing Prices in Lagos, Nigeria

Address, Price, and Property Name

By [source]

About this dataset

Looking for a place to rent or buy a house in Lagos, Nigeria? This dataset can help you identify the best places to live in the city! It includes information on housing prices, property names, addresses, and neighborhoods. With this data, you can figure out which areas are the most (and least) profitable for renting or buying a home. So whether you're looking for your next home or investment property, this dataset is a great resource

More Datasets

For more datasets, click here.

Featured Notebooks

• 🚨 Your notebook can be here! 🚨!

How to use the dataset

If you're looking for information on housing prices in Lagos, Nigeria, this dataset is a great resource. It includes the price, property name, address, and neighborhood for each listing. This information can be used to identify the most and least profitable neighborhoods in Lagos

Research Ideas

• This dataset can be used to identify the most and least expensive neighborhoods in Lagos, Nigeria.
• This dataset can be used to identify the best places to rent or buy a house in Lagos, Nigeria.
• This dataset can be used to identify the most and least profitable neighborhoods in Lagos for real estate investors

Acknowledgements

If you use this dataset in your research, please credit the original authors.

Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: d.csv | Column name | Description | |:------------------|:--------------------------------------------| | Price | The price of the housing listing. (Numeric) | | Property_name | The name of the property. (String) | | Address | The address of the property. (String) |

File: rent.csv | Column name | Description | |:------------------|:--------------------------------------------| | Price | The price of the housing listing. (Numeric) | | Property_name | The name of the property. (String) | | Address | The address of the property. (String) |

File: rent_2.csv | Column name | Description | |:------------------|:--------------------------------------------| | Price | The price of the housing listing. (Numeric) | | Property_name | The name of the property. (String) | | Address | The address of the property. (String) |

File: sale.csv | Column name | Description | |:------------------|:--------------------------------------------| | Price | The price of the housing listing. (Numeric) | | Property_name | The name of the property. (String) | | Address | The address of the property. (String) |

File: sale_2.csv | Column name | Description | |:------------------|:--------------------------------------------| | Price | The price of the housing listing. (Numeric) | | Property_name | The name of the property. (String) | | Address | The address of the property. (String) |

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit .

This dataset contains information scraped from Nigeria Property Centre, providing detailed data about houses listed to the Nigerian real estate market, housing trends, and property pricing. Researchers, data analysts, and developers can use this dataset for machine learning projects, pricing models, or market studies.

The dataset includes a variety of attributes describing each property, offering insights into the housing market's dynamics in Nigeria.

Use Cases: - Market Analysis: Understand real estate pricing and demand trends across different Nigerian regions. - Machine Learning Models: Build prediction models for property prices based on location, size, and features. - Investment Insights: Assist property investors in identifying potential markets. - Visualization: Create dashboards to showcase real estate trends in Nigeria.

In 2023, the Nigeria Real Estate Market reached a value of USD 91.1 million, and it is projected to surge to USD 137.8 million by 2030.

Nigeria Real Estate and Smart Housing Market valued at USD 2 trillion, driven by urbanization and housing deficit of 22 million units, with growth in smart technologies.

Nigeria Real Estate Portals and Housing Market valued at USD 4.5 Bn, driven by urbanization and digital platforms. Key segments include residential properties and first-time buyers.

Nigeria: Housing and utilities price index, world average = 100: The latest value from 2021 is 51.54 index points, a decline from 51.963 index points in 2017. In comparison, the world average is 77.639 index points, based on data from 165 countries. Historically, the average for Nigeria from 2017 to 2021 is 51.752 index points. The minimum value, 51.54 index points, was reached in 2021 while the maximum of 51.963 index points was recorded in 2017.

USD 69.54 Billion in 2024; projected USD 106.65 Billion by 2033; CAGR 4.8%.

Nigeria Real Estate Digital Platforms Market is valued at USD 2.6 trillion, with residential segment at USD 2.25 trillion, driven by urbanization, housing deficit, and AI integration for efficient transactions.

USD 4.89 Billion in 2024; projected USD 8.67 Billion by 2033; CAGR 6.62%.

The prices for the cheapest newly built housing in two African countries, Sudan and South Sudan, exceeded ****** U.S. dollars in 2024. In the Seychelles, the price of the most affordable housing was about ****** U.S. dollars. Nigeria, Kenya, and Egypt all had house prices under 10,000 U.S. dollars.

Nigeria logistics real estate market is valued at USD 11 billion, driven by e-commerce growth, urbanization, and infrastructure investments, with key segments in warehousing and e-commerce end-users.

The Africa Prefabricated Housing Construction Market is Segmented by Type (single-Family and Multi-Family) and Country (Nigeria, Egypt, South Africa, and the Rest of Africa). The Report Offers Market Sizes and Forecasts in Value (USD) for all the Above Segments.

The booming African prefabricated houses market is projected to exceed $3.8 billion by 2033, driven by urbanization, infrastructure growth, and rising demand for affordable housing. Explore key trends, challenges, and leading companies in this rapidly expanding sector. Recent developments include: May 2023: A new prefab housing structure is under development by Amsterdam-based architecture firm NLE. They installed a model in Africa's Cape Verde to understand its viability's various aspects as floating houses. The idea is to reduce the overall cost emanating from land prices., January 2022: Housing is one of the major challenges of a city resident in Addis Ababa, the capital city of Ethiopia. Hence, the Addis Ababa City Administration laid the foundation for 5,000 prefabricated houses in the Akaki Kaliti sub-city. Addis Ababa City Administration also stated that 2 million houses would be built during the ten-year development plan.. Notable trends are: Shift Towards Prefab Housing due to High Pricing in Egypt.

Nigeria Real Estate and Co-Living Spaces Market valued at USD 15 Bn, driven by urbanization and affordable housing demand, with growth in Lagos, Abuja, and Port Harcourt.

In the second quarter of 2023, Nigeria's real estate sector grew by about 1.87 percent compared to the same quarter of the previous year. Over the observed period, the growth rate reached its highest value in the third quarter of 2022, as it grew by 4.56 percent compared to the same quarter of the previous year.

Comprehensive real estate market data for Ajah, Nigeria including appreciation rates, rental yields, investment scores, infrastructure details, and upcoming development projects.

USD 48.74 Million in 2024; projected USD 99.43 Million by 2033; CAGR 8.3%.

Nigeria affordable housing platforms market valued at USD 1.5 billion, driven by urbanization, population growth, and government initiatives for low-income housing accessibility.