Method
How we get to each number.
Plain language, with sources and limits. If a number is on screen, you can find out where it came from here.
Six steps from data to a plan.
- 1
Start with daily temperature
Daily maximum temperature for every day from 2003 to 2020, on a grid that covers the city.
- 2
Bring it to wards
Grid cells are combined inside each of the 24 ward boundaries, so every ward gets its own daily series.
- 3
Focus on summer
We average the daily maximum across March to June. That is the summer maximum you see for each ward.
- 4
Add who lives there
Population, density, informal housing and public health facilities sit next to heat, so the reason behind each number is clear.
- 5
Rank, do not score
Each measure is ranked from 1 to 24. We show the rank and the number, never a single hidden score.
- 6
Match recommendations
Recommendations are matched to each ward's heat, housing and access to care.
Sources
Every screen in the product carries a short source line that points back here.
- Daily temperature
- Gridded daily temperature, 2003 to 2020. Placeholder: the data team confirms the dataset name and resolution.
- Ward boundaries
- Municipal ward boundaries for the 24 administrative wards.
- Population
- Ward population. Placeholder: source and year to be confirmed.
- Informal housing
- Share of ward area under informal housing. Placeholder: source to be confirmed.
- Health facilities
- Public health facilities by ward. Placeholder: source to be confirmed.
What it cannot tell you
- The data covers 2003 to 2020. ClimateReadyX does not forecast.
- A ward average hides streets and buildings that run hotter or cooler.
- Informal housing is a share of area, not of people.
- Health facilities counts public facilities only.
- Every figure on this site is a placeholder for design. The data team replaces them before launch.