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

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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. Labour Market

Labour Market

Access

Unemployment rate, youth unemployment, and agricultural employment share by province.

27.1/ 100Critical

Province Comparison

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

Underlying Datapoints

9 rows · Q4 2024
ProvinceUnemployment Rate (%)Youth Unemployment Rate (%)Agricultural Employment Share (%)Combined Score
EC43.8865.721.6018.4
FS42.9565.722.1921.0
GP38.3565.720.2426.0
KZN38.2565.721.3328.0
LP41.4865.722.0923.5
MP42.5365.722.6622.6
NC35.2565.723.9037.6
NW47.6365.721.7111.9
WC23.5565.721.7654.9

Labour Market Score Over Time

60 data points from Q1 2010 to Q4 2024

No historical data available

Historical trend data for Labour Market

AAMP 2030 Targets

3 targets linked to this indicator

New Decent Jobs Created

Pillar 4

Create 75,000 new decent jobs across the agriculture and agro-processing value chain.

Baseline (2022)

0

Target (2030)

75,000 jobs

Accountable

DALRRDDTIC

Livelihoods Supported

Pillar 4

Support 303,000 livelihoods through agricultural development programmes.

Baseline (2022)

0

Target (2030)

303,000 livelihoods

Accountable

DALRRD

Smallholder Market Integration

Pillar 4

Integrate 50,000 smallholder farmers into formal value chains.

Baseline (2022)

0

Target (2030)

50,000 farmers

Accountable

DALRRDNAMC

Stakeholder Attribution

1 institution contributing data

Stats SA

Statistics South Africa

Government

National statistical service providing official socioeconomic data including CPI, employment, and household surveys.

AAMP Role: National statistics provider

Data Source

Full methodology

Source

Stats SA (QLFS)

Pillar Weight

25%

Scoring Method

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