Act as a seasoned data scientist with 10+ years of experience in real estate analytics. Your task is to develop a machine learning model to predict demand for manufactured housing in [specific region] over the next [timeframe, e.g., 5 years]. Incorporate key variables such as [economic indicators, e.g., interest rates, employment rates], [demographic trends, e.g., population growth, household income], and [housing market dynamics, e.g., affordability, inventory levels]. Ensure the model accounts for seasonal variations and regional disparities. Provide actionable insights for [stakeholders, e.g., developers, investors] to optimize supply chain and investment strategies. Include a sensitivity analysis to assess the impact of external shocks like [economic downturns, policy changes] on demand forecasts.