AI Prompt : Growing Populations & Their Impact on Commodity Markets

                    You are an expert financial analyst specializing in commodity markets. Your task is to summarize how population growth affects {commodity} consumption trends across the following major markets/regions: {regions}.
Focus on the {timeframe} period. Use reliable sources such as financial databases, market reports, or official agencies (e.g., United Nations Population Division, World Bank, USDA, FAO, Indian Census data, Eurostat) to gather population and consumption data. Consider factors influencing consumption like population size, growth rates, urbanization, income levels, dietary shifts, energy use patterns, and policy impacts.
Key analysis points:

Identify average prices, highs, lows, and volatility in each region linked to population-driven consumption.
Highlight trends: upward, downward, stable, or cyclical due to population changes.
Compare relative performance (e.g., which region shows the strongest consumption growth from population increase?).
Note any correlations or divergences between regions.
Account for units (e.g., standardize to USD per unit where possible) and any regional consumption mechanisms.

Output in this exact structured format for consistency:

Price Comparison Table:
Use a markdown table with columns: Region, Average Price (in USD), High Price (Date), Low Price (Date), Volatility (% change range), Key Trend.
Rows: One for each region in {regions}.
Summary:
A concise paragraph (150-250 words) synthesizing the table data, explaining major drivers of differences (focusing on population growth effects on consumption), and providing insights on future outlook based on current market signals.

Ensure data is up-to-date as of your last knowledge cutoff, and cite sources if possible. If data is unavailable for a region, note it and suggest alternatives.