A new compilation of economics data by Singapore Department of Statistics via data.gov.sg places 2025-01 at the forefront of Singapore, with a figure of 161.04 ( Supermarkets & Hypermarkets) for 2026. The reading is the highest across the province's 250 regencies and cities, and stands in stark contrast to 2022-02, which posts the bottom value at 54.93 ( Department Stores). The disparity points to deep-seated structural differences in how the indicator unfolds locally.
Taken together, the highest and lowest readings differ by 106.11, equivalent to a 2.9-fold gap. The variation, which observers consider meaningful, illustrates the degree to which economics hinges on factors ranging from urban density and infrastructure to historical access to public services.
Aggregating across the 250 regions yields an average of 102.64 per district and a combined total of 25.66K for 2026, offering a baseline against which individual readings can be compared. By that measure, 2025-01's reading is roughly 56.9% above the provincial mean, while 2022-02 sits about 46.5% below it.
Set against Singapore's national picture, the Singapore figures reflect dynamics observed across much of the country: a concentration of higher readings in urbanised districts, and persistently lower values in less-densely populated or more remote areas. While the spread documented in the 2026 data is consistent with previous reporting cycles, the persistence of the gap underscores the difficulty of producing rapid convergence in economics through standard policy levers alone.
Data are sourced from Singapore Department of Statistics via data.gov.sg and form part of an ongoing series tracking social and economic conditions across Singapore. For Singapore, the 2026 release includes readings for each of the 250 regencies and cities under the province's administrative purview.
Looking ahead, the 2026 readings establish a clear baseline for tracking how economics evolves in Singapore over the coming years. Closing the gap between the leading and trailing districts is widely seen as one of the more pressing tasks for both provincial authorities and the national agencies that allocate resources across Singapore's subnational units.
Source: Singapore Department of Statistics via data.gov.sg · 2026-06-20T09:05:43.529Z
