Kota Marudu

Situation

Kota Marudu is classified as a "Remote interior, low service access" district in the atlas typology D1D37. Median household income was RM 2,877 in 2024 and has risen from RM 2,425 in 2019, giving modest welfare momentum since 2019 D1D2D12. Absolute poverty has fallen from 46.1% in 2019 to 40.0% in 2024 but remains well above its structural peers D5D4D32. Official district real GDP is published to 2020 (RM 567 at 2015 prices); all later GDP values are model nowcasts and projections with stated intervals D9D48D49.

Strengths

• Median income growth since 2019 is above its structural peers (3.5% vs peer median 2.2%), recorded as a scorecard strength D26.
• Recent trend in absolute poverty is improving (poverty rate reduced 2019–2024), recorded by the scorecard as mixed but improving on the 2019 level D32.
• The driver analysis flags that observed income growth exceeds expectations from the district’s structure in recent years, indicating positive welfare momentum D62D26.

Constraints

• Median household income level remains below peers (RM 2,877 vs peer median RM 3,742), recorded as a scorecard concern D27.
• Unemployment is high relative to peers (8.7% in 2024 vs peer median 2.5%), recorded as a scorecard concern and highlighted in drivers as strongly associated with poverty outcomes D28D63.
• Inequality is higher than peers (Gini 0.421 vs peer median 0.315), recorded as a scorecard concern D31.
• The driver model shows income and poverty outcomes are worse than structural predictions, with unemployment, GDP per capita and piped-water access among the top associated factors D62D63.

Options

• Expand active labour-market interventions (job matching / skills for local industries); Evidence: moderate — drivers show unemployment is strongly associated with poverty and a recent study finds mobile job-matching reduced disparities in Sabah contexts D63R2.
• Invest in piped-water access and basic service rollout (target remote sub-areas); Evidence: limited — the positive-deviant peer Pakan has higher piped-water access and improved welfare momentum, suggesting a precedent for infrastructure-linked gains D42.
• Target smallholder productivity and value chains in agriculture with outreach and market links; Evidence: limited — agriculture is large in the district’s structure and Sabah statistics emphasise agricultural and livestock programmes as district-relevant interventions D21R3.

Uncertainties

• Official GDP is only published to 2020; 2021–2028 values are model nowcasts/projections with 80% intervals and therefore model uncertainty matters for planning D48D49D52D54.
• Income projections are modelled beyond 2024 (2025–2027) with an 80% interval that is material for near-term budgeting D43D44D45.
• Driver associations are not causal; they indicate correlated levers but not proven impact in Kota Marudu without intervention evaluation D62D63.

What data would change this view

• An official district GDP series after 2020 would reduce reliance on nowcasts and change the assessment of recent growth D48D49.
• Sub-district labour-market panels or programme evaluations of job-matching or skills interventions would allow causal assessment of labour measures flagged by drivers D63R2.
• Evaluations or monitoring data on water-access investments at village level would clarify whether piped-water expansion drives poverty reduction as suggested by peer contrasts D42D63.