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. Access
  3. Social Grants

Social Grants

Access

Social grant density rate measuring social protection coverage relative to provincial population.

56.4/ 100Good

Province Comparison

Social Grants score across 9 provinces
No province-level data available for this indicator.

Underlying Datapoints

9 rows · Q4 2024
ProvinceGrant Recipients (thousands)Population (thousands)Grant Density (ratio)Combined Score
EC35356.5k54.1145.9
FS15263.1k49.9850.0
GP456817.0k26.8373.2
KZN571112.1k47.2152.8
LP32366.3k51.3848.6
MP23055.0k45.9354.1
NC6041.3k45.6954.3
NW19904.3k45.9954.0
WC18797.5k25.0375.0

Social Grants Score Over Time

60 data points from Q1 2010 to Q4 2024

No historical data available

Historical trend data for Social Grants

AAMP 2030 Targets

2 targets linked to this indicator

Agricultural Financing

Pillar 3

Mobilise R7 billion in agricultural financing for emerging and smallholder farmers.

Baseline (2022)

0

Target (2030)

7 billion ZAR

Accountable

DALRRDLAND-BANK

Livelihoods Supported

Pillar 4

Support 303,000 livelihoods through agricultural development programmes.

Baseline (2022)

0

Target (2030)

303,000 livelihoods

Accountable

DALRRD

Stakeholder Attribution

1 institution contributing data

SASSA

South African Social Security Agency

Parastatal

Administers social grants including child support, old age pension, and disability grants.

AAMP Role: Social grant administration

Data Source

Full methodology

Source

SASSA

Pillar Weight

25%

Scoring Method

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