Dataset Description

This dataset contains rental property listings scraped from Tonaton.com, one of Ghana's leading online classifieds platforms. It provides valuable information on rental prices across various regions in Ghana, along with other property details. The dataset is designed to support analysis, visualization, and modeling of rental prices in the Ghanaian real estate market.

Research paper: https://arxiv.org/abs/2501.06241 Analysis source code: https://github.com/epigos/house-prices-prediction

Features

The dataset includes the following columns:
- url: The link to the listing.
- name: The headline or title of the rental property listing.
- price: The rental price of the property in Ghanaian Cedis (GHS).
- category: The type of rental property (e.g., apartment, house, room, office).
- bedrooms: The number of bedrooms available in the property.
- bathrooms: The number of bathrooms available in the property.
- floor_area: The floor area of the property in square meters.
- location: The address location where the property is located.
- condition: Condition of the property e.g new, used, off-plan etc. - amenities: Amenities provided in the property. - region: Geographic administrative region of the property location. - locality: Represent the town or city where the property is located. - parking_space: Indicates if there is parking space available. - is_furnished: Indicates if the property is furnished. - lat: Longitude location of the property. - lng: Latitude location of the property.

Potential Use Cases

1. Real Estate Market Analysis: Analyze rental price trends across different locations and property types in Ghana.
2. Price Prediction Models: Train machine learning models to predict rental prices based on features like location, property type, and number of bedrooms.
3. Geographical Insights: Investigate how location impacts rental prices across urban and rural areas in Ghana.
4. Consumer Trends: Study patterns in rental property preferences, such as the most popular types of properties or regions.

Source

The data was scraped from Tonaton.com as of November, 2024. Please note that this dataset reflects the listings available during that period and may not include all rental properties in Ghana.

Disclaimer

This dataset is shared for educational and research purposes only. It is not intended for commercial use or to reproduce Tonaton.com’s proprietary information. Users are responsible for ensuring their use complies with Tonaton.com’s terms and conditions.

Conflict of Interest

There are no conflicts of interest associated with the creation or use of this dataset.

Comprehensive real estate market data and investment metrics for Ghana

Ghana Real Estate Software Market is expected to grow during 2025-2031

Property market metrics including price-to-income ratio, rental yields, and price trends

The dataset includes responses from two rounds of a Delphi study conducted among experts in the real estate sector, policymakers, and government officials in Ghana. The data captures both quantitative and qualitative insights on factors influencing rental housing decisions.

Round 1: Initial ratings of factors such as rental cost, proximity to work, landlord responsiveness, and availability of amenities.

Round 2: Pairwise comparisons of the top factors identified in Round 1, used for AHP analysis to determine their relative importance.

Techsalerator's Corporate Actions Dataset in Ghana offers a comprehensive collection of data fields related to corporate actions, providing valuable insights for investors, traders, and financial institutions. This dataset includes crucial information about the various financial instruments of all 37 companies traded on the Ghana Stock Exchange (XGHA).

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Top 5 used data fields in the Corporate Actions Dataset for Ghana:

• Dividend Declaration Date: The date on which a company's board of directors announces the dividend payout to its shareholders. This information is crucial for investors who rely on dividends as a source of income.

• Stock Split Ratio: The ratio by which a company's shares are split to increase liquidity and affordability. This field is essential for understanding changes in share structure.

• Merger Announcement Date: The date on which a company officially announces its intention to merge with another entity. This field is crucial for investors assessing the impact of potential mergers on their investments.

• Rights Issue Record Date: The date on which shareholders must be on the company's books to be eligible for participating in a rights issue. This data helps investors plan their participation in fundraising events.

• Bonus Issue Ex-Date: The date on which a company's shares start trading without the value of the bonus issue. This information is vital for investors to adjust their portfolios accordingly.

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Top 5 corporate actions in Ghana:

Initial Public Offerings (IPOs): Several companies in Ghana have conducted IPOs to raise capital and list their shares on the Ghana Stock Exchange. These IPOs enable companies to expand, fund new projects, and provide opportunities for the public to invest in them.

Rights Issues: Companies in Ghana occasionally offer rights issues to existing shareholders. This allows shareholders to purchase additional shares at a discounted price, helping the company raise capital for various purposes such as expansion or debt reduction.

Dividend Declarations: Companies declare dividends to distribute a portion of their profits to shareholders. Dividends can be in the form of cash or additional shares, and they provide a way for investors to earn returns on their investments.

Mergers and Acquisitions: M&A activities involve companies merging with or acquiring other companies. These actions can be driven by strategic goals, market consolidation, or synergy opportunities. M&As reshape the competitive landscape and impact shareholders of the involved companies.

Stock Splits and Consolidations: Companies may choose to split their shares to make them more accessible to a wider range of investors. Conversely, they might consolidate shares to increase the share price, which can help attract institutional investors.

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Top 5 financial instruments with corporate action Data in Ghana

Ghana Stock Exchange (GSE) Composite Index: The GSE Composite Index is the main benchmark index that tracks the performance of domestic companies listed on the Ghana Stock Exchange. It provides insight into the overall performance of the Ghanaian stock market.

Ghana Stock Exchange (GSE) Financial Stock Index: This index focuses on tracking the performance of companies in the financial sector listed on the Ghana Stock Exchange. It provides investors with specific insights into the financial industry's performance.

Fan Milk Limited: A Ghana-based dairy company that produces and distributes a range of dairy and non-dairy products. Fan Milk has a significant presence in several West African countries and is known for its popular products.

CAL Bank Limited: A commercial bank in Ghana offering various banking and financial services. CAL Bank serves individual and corporate customers and plays a role in the country's financial sector.

HFC Bank Ghana Limited: A financial institution in Ghana providing banking, mortgage, and other financial services. HFC Bank has a focus on housing and real estate finance and serves both retail and corporate customers.

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If you're interested in accessing Techsalerator's End-of-Day Pricing Data for Ghana, please contact info@techsalerator.com with your specific requirements. Techsalerator will provide you with a customized quote based on the number of data fields and records you need. The dataset can be delivered within 24 hours, and ongoing access options can be discussed if needed.

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Data fields included:

Dividend Declaration Date Stock Split Ratio Merger Announcement Date Rights Issue Record Date Bonus Issue Ex-Date Stock Buyback Date Spin-Off Announcement Date Dividend Record Date Merger Effective Date Rights Issue Subscription Price ‍

Q&A:

How much does the Corporate Actions Dataset cost in Ghana?

The cost of the Corporate Actions Dataset may vary depending on factors such as the number of data fields, the frequency of updates,...