Tongod

Situation

Tongod is a remote-interior district with low service access according to the atlas typology D1. Median household income was RM 3,470 in 2024 and has risen since 2019, with median income growth of 9.6% between 2019 and 2024 D1D12. Real GDP is published only to 2020 (RM 193 million at 2015 prices) and nowcasts project gradual recovery to a 2026 central estimate of RM 233 million with an 80% interval RM 216–RM 283 — these modelled values are nowcasts/projections, not official post‑2020 GDP D48D54. The district shows large absolute poverty but a recent improvement: absolute poverty fell to 41.5% in 2024 from 56.6% in 2019 D4D5.

Strengths

• Above-peer recent household income momentum: Tongod’s median income growth since 2019 (9.6%) is a scorecard strength relative to structural peers D26.
• Improvement in poverty rate trend: absolute poverty has been improving since 2019, a mixed but positive signal in the scorecard D31.
• Income is slightly higher than the modelled structural expectation (actual RM 3,470 vs expected RM 3,040), per the drivers analysis (association, not cause) D62.

Constraints

• Low GDP per capita relative to peers: Tongod’s 2020 GDP per capita was RM 4,510 and is a scorecard concern versus peers D27D9.
• Very high absolute poverty level compared with peers: 41.5% in 2024 is a scorecard concern despite recent improvements D4D31.
• Labour market weakness: unemployment was 9.7% in 2024 and labour force participation is low (52.8%), both flagged as concerns or mixed in the scorecard and associated with worse poverty in drivers D29D33D63.
• Weak basic water service access: piped‑water access (53.4% households) is a scorecard concern versus peers and is associated with higher poverty in the drivers D28D63.

Options

• Prioritise rural water infrastructure investments (e.g., expand piped water or alternative rural systems); Evidence: limited — policy documents commit to expanding rural water and alternative systems but this is a plan rather than an evaluated impact in Tongod R2.
• Target active labour-market measures (job matching, local TVET linked to nearby labour demand) to raise participation and reduce unemployment; Evidence: moderate — labour-market reform and TVET strengthening are national strategies cited in the plan and the atlas shows consistent associations between labour indicators and poverty for Tongod R4D63.
• Replicate positive-deviant interventions from Telupid that improved welfare momentum — investigate how higher piped-water access and higher GDP per capita there coincided with faster welfare gains; Evidence: moderate — Telupid is identified as Tongod’s positive deviant in the atlas and differs on piped-water and GDP per capita D42.
• Prioritise road and connectivity upgrades to unlock rural economic potential as laid out in national regional-balance strategies; Evidence: limited — the Twelfth Plan’s mid-term review lists expanding rural infrastructure as a strategy but does not provide district-level evaluated impacts for Tongod R2R1.

Uncertainties

• Post‑2020 GDP values are modelled nowcasts/projections with sizable 80% intervals (e.g., 2026 p50 RM 233 million, interval RM 216–RM 283) and backtest errors of ~12–14% for short horizons, so GDP trajectory is uncertain D54D57.
• Income projections are modelled (2025 p50 RM 3,556; 80% interval RM 3,271–RM 3,873) with a 2‑yr backtest absolute error 12.0%, so short-term income forecasts carry model uncertainty D44D47.
• Drivers are associations, not causal estimates; the shift-share and drivers give structural clues but do not prove interventions will produce the same effects D58D62.

What data would change this view

• Official district GDP estimates for 2021–2025 from DOSM (would replace model nowcasts) D48D49.
• Recent evaluated programme results (impact evaluations) on water, labour-market or rural connectivity projects in Tongod or its positive-deviant peer Telupid (would upgrade evidence strength) D42R2.
• More frequent labour‑market microdata (quarterly unemployment and participation by subdistrict) to resolve recent labour-market deterioration D29D33.