01Overview

South Africa enters 2027 as a middle-income economy of 63.5 million people whose water and electricity systems are under strain, whose food supply is currently ample, and whose floods have become deadly at provincial scale [1] [7] [14] [15]. Greenhouse-gas emissions were about 478 Mt CO₂e in 2022 excluding land use, with energy supplying 78% of the total [2]. The second climate contribution, submitted on 24 October 2025, sets a 2035 range of 320 to 380 Mt CO₂e including land use, and the Climate Action Tracker rates it insufficient [3] [4]. Energy shed by load-shedding fell 82% between the first halves of 2024 and 2025, while the Eskom fleet energy availability factor stayed near 58% and tariffs have risen 190% since 2014 [5]. Water is the nearer constraint. In the 2025 Green Drop assessment 47% of 848 wastewater systems were in a critical state, and non-revenue water was 47.3% [8] [9]. The 2025 maize harvest was well above average and the 2026 forecast is 17.1 million tonnes [7]. Floods killed 459 people in KwaZulu-Natal in 2022 and, by the provincial count, 102 in the Eastern Cape in 2025 [14] [15]. About 7.8 million people were living with HIV in 2026, and life expectancy at birth was 65.5 years for men and 71.0 for women [1]. This Baseline Edition fixes the reference state for South Africa’s water, energy, food, health and biodiversity systems, maps the couplings through which grid, water and flood shocks travel, and sets the questions the first operational edition will answer with Foundry evidence in Q1 2027. It reads against peer distributions and thresholds, and it decides nothing.

02At a glance

population, mid-2026

63.5 million

aged 60 or over, 2026

10.7 %

emissions excl. land use, 2022

478 Mt CO₂e

people living with HIV, 2026

7.8 million

life expectancy, men · women, 2026

65.5 · 71.0 years

25.7% of people live in Gauteng

9 provinces

03Key findings

04Domain reading

Each of the twelve coupled domains is read in words, not scored. The coupling column names the dependency that carries risk into other systems.

05Sector screen

All sixteen sectors are screened on the same grammar, so that later editions can say what changed. The evidence column describes coverage of the baseline evidence, not the performance of the sector.

06System couplings

The South Africa matrix types the twenty couplings between the five core systems. Strengths are Nexus estimates from the cited evidence and analogue events; they set the starting graph that the Q1 2027 Foundry cut will test.

07Risk objects

Four risk objects open the portfolio. Order carries no rank. Each is read across driver, exposure, vulnerability, capacity, cascade and consequence.

• Heavy-rain flooding in a populated province

  Reported EQL 3

  Driver

  intense rainfall and cut-off lows

  Exposure

  informal settlements, roads, river corridors

  Vulnerability

  dense low-lying housing; damaged networks

  Capacity

  disaster-management framework; warnings [25]

  Cascade

  CLI → INF, WAT, HLT

  Horizon

  annual

• Wastewater and supply system failure

  Reported EQL 4

  Driver

  poor maintenance, power loss, flood damage

  Exposure

  rivers and towns downstream of critical systems

  Vulnerability

  47% of systems critical [9]

  Capacity

  Green and Blue Drop oversight; turnaround evidence not bound

  Cascade

  WAT → HLT, BIO, FOO

  Horizon

  1–5 years

• Electricity supply shortfall

  Reported EQL 4

  Driver

  low fleet availability and demand peaks

  Exposure

  water works, clinics, industry, households

  Vulnerability

  availability near 58% [5]

  Capacity

  load-shedding fell 82% in a year; new capacity [5] [28]

  Cascade

  ENE → WAT, HLT, FIN

  Horizon

  1–5 years

• Multi-year drought and water restriction

  Inferred EQL 3

  Driver

  successive dry seasons

  Exposure

  metropolitan supply, irrigated farming

  Vulnerability

  high urban losses; dependence on few dams

  Capacity

  demand management proven in Cape Town 2018 [18]

  Cascade

  CLI → WAT → FOO, FIN

  Horizon

  1–5 years

08Capability ladder

Existence is not readiness. Each of the fifteen capability functions is placed on the ladder by the strongest public evidence at baseline.

09Scenario

Power shortfall and wastewater stress in a dense province. A conditional statement under stated assumptions, never a prediction.

10Lenses

The baseline is read through each steward’s lens, then once as a whole. Each lens is a projection of reviewed findings, not a separate argument.

• Technical Truth

  GCRI · KEY T

  The evidence supports a coupled reading of South Africa’s risk: the grid is steadier than in 2024, but water services are weaker, and floods have become deadly at provincial scale. Evidence is strongest for emissions, population and wastewater results, and thinnest for ecosystem condition and recovery capability.

• Public Meaning

  GRF · KEY M

  For most people the risk arrives as a power cut, a water interruption or a flood warning. The baseline asks that public debate weigh how treatment failure and tariffs fall on households and towns.

• Capital Meaning

  GRA · KEY F

  Readiness implications only. Tariffs are up 190% since 2014 and insured flood loss is not bound [5]. These show where finance-readiness evidence will matter. Nothing here is advice, a rating or an endorsement.

• Synthesis

  NEXUS

  South Africa publishes strong open assessments of its water systems and its emissions. The 2027 programme should map grid and water dependencies, test the power-and-wastewater pathway at province scale, and bind the missing biodiversity, food-insecurity and loss series.

11Portfolio

Five initiatives and one Universe mission candidate are proposed for admission at the Q1 2027 alignment. They are programme objects, no partner, funder or member is attached to them in this edition.

122027 agenda

Eight bounded questions open the 2027 National Agenda. Each comes from a baseline finding, names the initiative that will carry it and the first output due at the Q1 2027 cut.

1. A-01

   How would a power shortfall interrupt pumping and treatment in a dense province, and how long would services take to recover?

   INI-ZAF-ENE-01 · grid and water continuity

2. A-02

   Where are wastewater systems in a critical state, and which rivers and settlements sit downstream?

   INI-ZAF-WAT-02 · wastewater and river risk

3. A-03

   How much of urban supply is lost, and what does it cost in energy?

   INI-ZAF-WAT-03 · non-revenue water

4. A-04

   How exposed are food and fertiliser supply to concurrent drought, price and logistics shocks?

   INI-ZAF-FOO-04 · food supply exposure

5. A-05

   Where do flood losses fall on households, municipalities and the national budget?

   INI-ZAF-FIN-05 · flood protection gap

6. A-06

   How do river basins and dams perform under multi-year drought?

   INI-ZAF-WAT-01 · workstream

7. A-07

   What is the condition of ecosystems that supply water, and how is it changing?

   to be admitted in Q1 2027

8. A-08

   Which capabilities have been tested in real disasters, and which are only planned?

   national capability register

13Coupled risk, applied response

14Evidence by system

15Sources

49 numbered sources, editor first. Open the reference list and the data appendix.

16Cite, corrections and licence

The full citation, BibTeX and RIS are on the edition page. Corrections go through the gateway and are logged in Annex C. Text is CC BY 4.0.

Cite

Saeed Valadbaygi, Chief Steward and Managing Editor, the Global Centre for Risk and Innovation (GCRI) (Ed.). (2026). South Africa: country profile. In South Africa 2026 [Draft under review]. GCRI for the Nexus Consortium.

Review copy. The DOI is issued at deposit. Text under CC BY 4.0.