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Data for Ghana

A centralized hub of open data sources to empower research, innovation, and decision-making in Ghana

At Mogital Analytics, we believe that data is Ghana's untapped gold mine. We've curated a list of credible, free, and regularly updated data sources, from the Bank of Ghana to the Ghana Open Data for Africa, to help students, researchers, entrepreneurs, businesses, and developers access the information they need to build, solve, and innovate.

Featured Data Sources

Bank of Ghana (BoG)

Daily interbank forex rates, macroeconomic indicators, interest rates, and inflation bulletins.

Ghana Statistical Service (GSS)

Census data, labor market statistics, demographic surveys, and poverty reports.

Statsbank Ghana

Official Aggregated Data Dissemination Platform for Ghana Statistical Service. Users can build tables from different data sources and download specific datasets.

Ghana Open Data Initiative (GODI)

Government-provided APIs and open datasets on education, health, energy, and more.

Ghana Stock Exchange (GSE)

Market indices, listed companies, and trading activity.

Ghana Open Data for Africa (GODA)

It offers a comprehensive repository of national statistics and indicators across sectors such as education, health, economy, and agriculture.

How to Use This Data

Get started analyzing Ghanaian datasets with these easy guides:

  • Working with CSV Files: Use Excel, Google Sheets, or Python's pandas

  • Visualizing Time Series (BoG FX Rates): Try Looker Studio or Python + Matplotlib

  • Combining Datasets: e.g., Link inflation rates from GSS with FX data from BoG for macroeconomic analysis

  • Suggested Tools:

    • Excel/Google Sheets (Beginner)

    • Power BI, Looker Studio (Intermediate)

    • R / Python / Tableau (Advanced)

Mini Projects to Try

Use the public data above to start your own impactful exploration:

Mini Project 1: Ghana Cedi Forex Trend Analyzer

Data Source: Bank of Ghana
Goal: Track and visualize how the Ghana cedi has performed against the USD over time.

Project Tasks:

  • Scrape/download daily USD–GHS mid exchange rates (last 12 months).

  • Clean and parse the data into a tidy format.

  • Create visualizations showing trends, monthly volatility, and key turning points.

  • Add a forecast for next 30 days using a basic time-series model.

Tools: Excel / Python / Looker Studio
Skill Level: Beginner–Intermediate

Mini Project 2: Youth Unemployment Dashboard

Data Source: Ghana Statistical Service (GSS)
Goal: Highlight regional disparities in youth unemployment and economic participation.

Project Tasks:

  • Extract labor statistics by age group and region.

  • Build a dashboard comparing youth unemployment across all 16 regions.

  • Use maps to visualize where intervention may be most needed.

  • Include trends over the past 5 years (if available).

Tools: Power BI / Excel / R
Skill Level: Intermediate

Mini Project 3: Ghana Stock Exchange Market Watch

Data Source: Ghana Stock Exchange
Goal: Build a tracker for daily price movements of top listed companies.

Project Tasks:

  • Pull stock prices and volume for 5–10 most traded stocks.

  • Visualize gainers vs losers, daily volume, and price change over 30 days.

  • Add a filter to view performance by sector (e.g., banking, telecom, etc.).

  • Include average monthly performance to analyze seasonal behavior.

Tools: Google Sheets + Google Data Studio
Skill Level: Beginner–Intermediate

Mogital’s Expert Touch

Need deeper insights or hands-on help?

Let Mogital Analytics support your journey. We help:

  • Build dashboards from raw data

  • Analyze and visualize trends

  • Run predictive models for policy and business

📧 Email: info@mogitalanalytics.com
🌐 Website: www.mogitalanalytics.com

Feedback

🔍 See something missing or incorrect?
We’re committed to keeping this resource accurate and up-to-date. If you come across any outdated links, missing datasets, or have suggestions for improvement, please let us know.

Contact us at info@mogitalanalytics.com, we will address it as quickly as possible.

Have an idea? Want to partner? Let’s collaborate to make data work for Ghana

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