🩺 District Health Indicator Projection – General Logic

This tool helps estimate district-level health indicators (e.g., immunization, maternal health) when only state-level NFHS data is available. It uses adjustment factors based on known district context.

🔢 Inputs

  1. State-level NFHS value (e.g., institutional deliveries = 72.4%)
  2. Contextual Adjustments:
    • Health infrastructure (low / average / high)
    • Road access (poor / average / good)
    • Demographics (e.g. high tribal/SC/ST %)

📈 How the Adjustment Works

We multiply the state value by an adjustment factor based on local context. For example:

District Estimate = State Value × Adjustment Factor

Each context input adjusts the factor slightly up or down:

Factor Low Avg High
Health Infra 0.9 1.0 1.1
Road Access 0.95 1.0 1.05
Tribal/SC/ST Density 0.9 1.0 1.1

The final adjustment is the product of all applicable factors.

🧠 Example

NFHS State Value (Institutional Deliveries): 72.4%
Khunti has low infra (0.9), avg roads (1.0), and high tribal % (0.9):

Adjusted = 72.4 × 0.9 × 1.0 × 0.9 = ~58.6%

This gives a realistic district estimate where full surveys are missing.

Use this logic for any district with suitable state reference data.