Community Prosperity Algorithm

Community Prosperity Algorithm: CPS_a = (F)(D)(CPS_r)

Unity, Power, Transformation, and Innovation contribute to a maximum score of 100.

• Raw Community Prosperity Score (CPS_r) = Unity Score (U) + Power Score (P) + Transformation Score (T) + Innovation Score (I)
• Power Score = (Unity Score)² + Education Score + Economics Score + Employment Opportunity Score + Community Posture
• Community Posture Score = [(Value of Real Estate + Access to Capital + Civic Engagement + Access to Healthcare Services + Community Crime)]/5
• Feasibility Factor (F) = [(Feasibility Score + Leadership Score + Strategy Score)]/3
• Desirability Factor (D) = [(Desirability Score + Leadership Score + Strategy Score)]/3 
• The Adjusted Community Prosperity Score  (CPS_a) = (F)(D)(CPS_r)

Where:

• Unity Score = a range of (0 to 5)
• Power Score = (Unity Score)²
  • Education Score = a range from (0 to 5)
  • Economics Score = a range from (0 to 5)
  • Employment Opportunity Score = a range from (0 to 5)
  • Community Posture Score = a range from (0 to 5)
    • Value of Real Estate = range from (0 to 1)
    • Access to Capital = range from (0 to 1)
    • Political/Civic Engagement = range from (0 to 1)
    • Access to Healthcare Services = range from (0 to 1)
    • Community Crime = range from (0 to 1)
• Transformation Score = a range from (0 to 5)²
• Innovation Score = a range from (0 to 5)²
• Feasibility Score = a range from (0 to 1)
• Desirability Score = a range from (0 to 1)
  • Leadership Score = a range from (0 to 1)
  • Strategy Score = a range from (0 to 1)

Apply Feasibility and Desirability Adjustments:

The final Community Prosperity Score is calculated by applying the Feasibility and Desirability factors to the raw score:

Adjusted Community Prosperity Score = Feasibility Factor x Desirability Factor x Raw Community Prosperity Score 

 CPS_a = (F)(D)(CPS_r)