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. Availability
  3. Livestock

Livestock

Availability

Cattle, sheep, pig and poultry production and slaughter volumes relative to demand.

47.7/ 100Moderate

Province Comparison

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

Livestock Score Over Time

72 data points from Q1 2007 to Q4 2024

No historical data available

Historical trend data for Livestock

AAMP 2030 Targets

2 targets linked to this indicator

Wool Production Increase

Pillar 2

Increase national wool production by 20% through flock improvement and expansion.

Baseline (2022)

0

Target (2030)

20 percent increase

Accountable

DALRRD

Weaner Calf Feedlot Intake

Pillar 2

Increase weaner calf intake into feedlots to 250,000 head annually.

Baseline (2022)

0

Target (2030)

250,000 head

Accountable

DALRRD

Stakeholder Attribution

3 institutions contributing data

DALRRD

Department of Agriculture, Land Reform and Rural Development

Government

Primary government department responsible for agricultural policy, land reform, and rural development.

AAMP Role: Lead department, chairs Executive Oversight Committee

SAPA

South African Poultry Association

Private

Industry body providing poultry slaughter volumes and production data.

RPO

Red Meat Producers' Organisation

Private

Represents red meat producers and provides beef and mutton production data.

Data Source

Full methodology

Source

DALRRD / SAPA / RPO

Pillar Weight

20%

Scoring Method

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