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Food • Farming • ResilienceClimate-resilient agriculture, soil health and stronger food systems are important adaptation priorities for Pacific communities.
A climate story told by Tonga's next generation - turning 76 years of temperature-anomaly data into evidence that communities can see, understand and discuss.
Simple data. Strong evidence. Clear visuals. Tonga's story.
Tonga's annual national mean surface-temperature anomalies from 1950 to 2025 vary from year to year, but the long-term trend is upward.
Across the complete 1950-2025 analysis window, the ordinary least-squares trend is +0.01001°C per year, equivalent to +0.1001°C per decade.
N = 76 | R² = 0.429 | p = 1.37 × 10⁻¹⁰
A temperature anomaly describes how much warmer or cooler a value is relative to the dataset's reference average.
Negative = cooler than the reference. Zero = at the reference. Positive = warmer than the reference.
The exact baseline period is intentionally not stated here because it was not specified in the verified project analysis report.
Decade averages reduce year-to-year noise and reveal the strong shift in the 21st century.
| 1950s | -0.020°C |
| 1960s | -0.120°C |
| 1970s | +0.030°C |
| 1980s | -0.100°C |
| 1990s | 0.000°C |
| 2000s | +0.370°C |
| 2010s | +0.470°C |
| 2020-2025 | +0.717°C* |
*2020-2025 is a partial six-year period, not a complete decade.
What began as measurements decades ago has become evidence that today's young Tongans can interpret and communicate to their communities.
These context panels are deliberately separated from the statistical claims above so that the dataviz does not imply that temperature anomalies alone prove every climate impact.
Climate-resilient agriculture, soil health and stronger food systems are important adaptation priorities for Pacific communities.
Coastal and marine resilience matters deeply for island communities whose livelihoods and ecosystems are connected to the ocean.
Resilience depends on local knowledge, institutions, preparedness and community participation.
Data literacy gives young people tools to understand change, communicate evidence and participate in future decisions.
Primary dataset: Pacific Community (SPC), DF_CLIMATE_CHANGE (1.0), indicator ST_ANOM - Mean Surface Temperature Anomalies, Tonga. Project analysis window: 1950-2025.
Method: descriptive statistics and ordinary least-squares linear trend. Raw annual values were preserved; the project analysis uses 76 observations. The 2020-2025 block is explicitly treated as a partial period.
Interpretation: the temperature dataset supports statements about temperature anomalies and their trend. Broader statements about agriculture, oceans, communities and resilience are contextual and should be read as separate climate research, not as effects proven by ST_ANOM alone.
All statistical claims in the charts use the locked SPC ST_ANOM project analysis for 1950-2025. Context sources are separate supporting references.
The data are numbers.
The story is Tonga's.
The future belongs to the next generation.