Annual Average Exchange Rates (Weakest vs. Strongest Years) Weakest Years (Highest Average Rate) 1.2024 — ₦1,478.97 2.2023 — ₦645.19 3.2022 — ₦425.98 4.2021 — ₦400.24 5.2020 — ₦358.81 Strongest Years (Lowest Average Rate) 1.1981 — ₦0.61 2.1982 — ₦0.67 3.1983 — ₦0.72 4.1984 — ₦0.76 5.1985 — ₦0.89 Source: Central Bank of Nigeria (CBN) 2024 Statistics Bulletin #Datawiztec #EconomicHistory #NairaValuation Disclaimer: Public data. No liability or ownership.

Top 10 Strongest Naira Months (Lowest Exchange Rates) in History 1.January 1981 — ₦0.53 2.February 1981 — ₦0.55 3.March 1981 — ₦0.57 4.June 1981 — ₦0.59 5.April 1981 — ₦0.60 6.May 1981 — ₦0.60 7.July 1981 — ₦0.60 8.December 1981 — ₦0.64 9.January 1982 — ₦0.64 10.November 1981 — ₦0.65 Source: Central Bank of Nigeria (CBN) 2024 Statistics Bulletin #Datawiztec #History #StrongNaira Disclaimer: Public data. No liability or ownership.

Top 10 Weakest Naira Months (Highest Exchange Rates) in History 1.November 2024 — ₦1,670.78 2.October 2024 — ₦1,641.12 3.September 2024 — ₦1,618.22 4.August 2024 — ₦1,587.39 5.July 2024 — ₦1,560.22 6.December 2024 — ₦1,553.73 7.March 2024 — ₦1,511.34 8.February 2024 — ₦1,505.30 9.June 2024 — ₦1,482.27 10.May 2024 — ₦1,436.07 Source: Central Bank of Nigeria (CBN) 2024 Statistics Bulletin #Datawiztec #ExchangeRate #Naira Disclaimer: Public data. No liability or ownership.

Nigeria’s Lowest Monthly External Reserves (All-Time Record) 1.February 1984 — $210.8M 2.December 1983 — $224.4M 3.January 1984 — $224.4M 4.August 1984 — $315.9M 5.March 1984 — $333.1M 6.November 1983 — $374.6M 7.May 1984 — $443.0M 8.November 1984 — $463.1M 9.April 1984 — $478.4M 10.September 1984 — $479.9M Source: Central Bank of Nigeria (CBN) 2024 Statistics Bulletin #Datawiztec #History #Reserves Disclaimer: Public data. No liability or ownership.

Nigeria’s Highest Monthly External Reserves (All-Time Record) 1.September 2008 — $62,081.86M 2.April 2008 — $60,815.85M 3.July 2008 — $60,342.13M 4.August 2008 — $60,201.74M 5.March 2008 — $59,756.51M 6.May 2008 — $59,180.14M 7.June 2008 — $59,157.15M 8.October 2008 — $58,534.15M 9.November 2008 — $57,480.50M 10.February 2008 — $56,908.42M Note: 2008 remains the peak year for Nigeria’s external reserves, with values consistently above $56B. Source: Central Bank of Nigeria (CBN) 2024 Statistics Bulletin #Datawiztec #ExternalReserves #Economy Disclaimer: Public data. No liability or ownership.

Nigeria’s Lowest 5 Years by Average Annual External Reserves 1.1984 — $456.64M 2.1983 — $597.62M 3.1985 — $981.81M 4.1982 — $1,027.03M 5.1986 — $1,576.84M Source: Central Bank of Nigeria (CBN) 2024 Statistics Bulletin #Datawiztec #EconomicHistory #Reserves Disclaimer: Public data. No liability or ownership.

Top 5 Years by Average Annual External Reserves 1.2008 — $58,472.88M 2.2013 — $45,612.95M 3.2007 — $45,394.31M 4.2009 — $44,702.35M 5.2018 — $44,525.07M Source: Central Bank of Nigeria (CBN) 2024 Statistics Bulletin #Datawiztec #EconomicHistory #Nigeria Disclaimer: Public data. No liability or ownership.

Nigeria’s Lowest Import Categories by HS Section 1.Arms and Ammunition — ₦676.28M 2. Works of Art and Antiques — ₦2,207.27M 3.Footwear and Headgear — ₦71,595.66M 4.Wood and Articles of Wood — ₦82,923.68M 5.Hides and Skins — ₦97,364.67M 6.Textiles and Textile Articles — ₦301,311.37M 7.Stone, Plaster, and Ceramics — ₦325,123.49M 8.Optical and Medical Instruments — ₦384,889.31M Source: Central Bank of Nigeria (CBN) 2024 Statistics Bulletin #Datawiztec #Trade #Imports Disclaimer: Public data. No liability or ownership.

Nigeria’s Top Import Categories by HS Section 1.Mineral Products — ₦24,817.27B 2.Machinery and Electrical Equipment — ₦10,317.30B 3.Chemical and Allied Products — ₦5,659.02B 4.Vehicles and Transport Equipment — ₦4,762.80B 5.Plastics and Rubber Articles — ₦3,667.30B 6.Prepared Foodstuffs and Beverages — ₦2,964.67B 7.Base Metals and Articles — ₦2,608.52B 8.Vegetable Products — ₦2,531.72B 9.Animals and Animal Products — ₦1,582.54B Source: Central Bank of Nigeria (CBN) 2024 Statistics Bulletin #Datawiztec #Trade #Imports Disclaimer: Public data. No liability or ownership.

Main Holders of Nigeria’s Federal Domestic Debt (2024) 1. Central Bank of Nigeria — ₦28,034.60B 2. Deposit Money Banks — ₦21,975.60B 3. Non-Bank Public — ₦20,399.67B --- Nigeria’s Public External Debt Breakdown (2024) 1. Multilateral — ₦34,274.49B 2. Eurobonds — ₦26,597.83B 3. Bilateral — ₦9,353.84B 4. Others — ₦84.27B Source: CBN; Debt Management Office (DMO) #Datawiztech #Debt #ExternalDebt *Disclaimer: Public data. No liability or ownership.*

Nigeria’s 20 States with Lowest Domestic Debt (2024) 1. Jigawa — ₦1.33B 2. Ondo — ₦12.88B 3. Kebbi — ₦15.22B 4. Ebonyi — ₦18.11B 5. Katsina — ₦25.68B 6. Kaduna — ₦25.76B 7. Nasarawa — ₦26.60B 8. Borno — ₦27.91B 9. Anambra — ₦28.68B 10. Kogi — ₦41.59B 11. Yobe — ₦42.06B 12. Ekiti — ₦53.53B 13. Sokoto — ₦55.41B 14. Zamfara — ₦59.04B 15. Kwara — ₦59.08B 16. Kano — ₦60.65B 17. FCT — ₦63.56B 18. Abia — ₦66.08B 19. Adamawa — ₦81.23B 20. Taraba — ₦81.39B Source: Central Bank of Nigeria (CBN); Debt Management Office (DMO) #Datawiztech #Debt #Nigeria Disclaimer: Public data. No liability or ownership.

Top List of African Artists’ Highest-Grossing Concerts 1.Burna Boy — La Défense Arena: $2.86M 2.Burna Boy — Madison Square Garden: $1.57M 3.Burna Boy — Ziggo Dome: $1.56M 4.Burna Boy — Capital One Arena: $1.43M 5.Burna Boy — O2 Arena: $1.34M 6.Burna Boy — BMO Stadium: $1.22M 7.Wizkid — Madison Square Garden: $1.00M 8.Wizkid — O2 Arena: $958K 9.Wizkid — State Farm Arena: $905K 10.Burna Boy — Oakland Arena: $885K 11.Davido — Capital One Arena: $884K 12.Asake — Barclays Center: $866K 13.Burna Boy — Hallenstadion: $823K 14.Burna Boy — Addition Financial Arena: $637K 15.Davido — State Farm Arena: $599K 16.Burna Boy — American Airlines Center: $559K 17.Burna Boy — Climate Pledge Arena: $496K 18.Burna Boy — State Farm Arena: $450K 19.Burna Boy — 3Arena: $379K 20.Tiwa Savage — O2 Academy Brixton: $345K Source: Boxscore reports obtained from Touring Data, Bloomberg & Pollstar #Datawiztec Disclaimer: Public data. No liability or ownership.

Precision meets responsibility in credit risk. 📊 The key to effective credit assessment in the digital age is leveraging advanced data science while ensuring fairness and transparency. Learn how data-driven approach is setting new standards for the financial industry. #DataWizTec #Fintech #MachineLearning #CreditRisk #DataScience #AIinFinance

Boost Your Data Cleaning with ChatGPT! Tired of manual data scrubbing? Leverage the power of ChatGPT with these 5 essential data cleaning prompts to make your datasets spotless and analysis-ready! #DataWizTec #DataCleaning #ChatGPTForData #DataScience

✈️ Decoding the Skies: The Power of AI in Airline Pricing! A delved into the mechanics of dynamic pricing, where cutting-edge machine learning models analyze millions of data points, from real-time demand and competitor fares to seasonality and historical booking patterns, to optimize ticket prices and maximize revenue. This is more than just price changes; it's about precision pricing, optimizing seat inventory, and using advanced demand forecasting to ensure every flight is financially viable while offering flexible options to travelers. #DataWizTec #AviationTech #DynamicPricing #RevenueManagement #AIDemandForecasting #AirlineInnovation

The Data-Driven Advantage: Cracking the Penalty Shootout Code! ⚽📊 Forget pure luck and psychology, the modern penalty shootout is a masterclass in data-driven strategy. This work analyzes patterns, goalkeeper tendencies, and striker performance to find the statistically optimal approach. In the moments of highest pressure, having an analytic edge is the difference between lifting the trophy and going home. The intersection of sports and data science is electrifying! What's the most crucial piece of data to analyze before a penalty? #DataWizTec #DataAnalytics #SportsAnalytics #FootballData #PenaltyShootout #DataScience

The Power of Energy Forecasting! Did you know that Time Series Forecasting is the secret behind smart grids? By analyzing historical usage data, AI models like ARIMA and LSTM achieve remarkable accuracy (up to 95%) in predicting tomorrow's energy demand. #DataWizTec #EnergyForecasting #SmartGrid #AIForecasting

Staying ahead is the only way to win! We're moving beyond reactive management with data-driven inventory and supply chain optimization. By analyzing real-time trends and setting smart reorder points, we ensure stock is there when you need it, no costly stockouts, no excessive carrying costs. This is the power of foresight and technology working together to keep operations efficient and customers happy. Proactive planning is the blueprint for sustained efficiency. #DataWizTec #SupplyChainManagement #DataDriven #InventoryOptimization #ProactivePlanning