AgriSA
OverviewAAMPMethodologyValue ChainSubsectorsStakeholdersTimelineCompareData QualitySimulator
2012 — 2024
How we score
AgriSA

South Africa's transparent, drillable, agriculture-rooted Food Security Index.

Dashboard

National OverviewProvince ComparisonValue ChainSubsectorsHistorical TimelineData Quality

Resources

MethodologyAAMP ScorecardStakeholders

Coverage

9 provinces6 measured pillars23 indicators2012 — 2024
© 2026 AgriSA. All rights reserved.Methodology, weights, and data sources published for full transparency.
  1. National
  2. Stability
  3. Climate Shocks

Climate Shocks

Stability

Climate resilience score combining temperature anomaly stress days and rainfall stability across provinces.

39.5/ 100Low

Province Comparison

Climate Shocks score across 9 provinces
No province-level data available for this indicator.

Underlying Datapoints

9 rows · Q4 2024
ProvinceTemperature Stability (index)Rainfall Stability (index)Combined Score
EC0.660.0434.9
FS0.710.5160.8
GP0.730.1343.3
KZN0.510.9070.5
LP0.110.2417.5
MP0.590.1135.1
NC0.120.3925.7
NW0.150.3223.8
WC0.640.2343.7

Climate Shocks Score Over Time

32 data points from Q2 2018 to Q1 2026

No historical data available

Historical trend data for Climate Shocks

Stakeholder Attribution

1 institution contributing data

SAWS

South African Weather Service

Government

National weather service providing temperature and rainfall data for climate shock assessments.

Data Source

Full methodology

Source

SAWS / Derived

Pillar Weight

20%

Scoring Method

Min-max normalization with weighted aggregation. Directionality aligned so higher = better food security.