Clear thesis
The useful story is not that one benchmark yield is better than another. The useful story is that yield, ex-date timing, payment timing, and frequency answer different questions.
Data observation that triggered this story
This story was triggered by the gap between compact yield fields and richer calendar rows in the DividendTen initial market snapshot. The market records include gross yield, median yield, calendar rows, ex-dates, payment dates, currency, and frequency labels.
Because the current market dataset is labelled as an initial market snapshot, this story is published with visible source and methodology context and should be read as a methodology-backed analysis example until verification is complete.
Scroll horizontally to review the snapshot fields.
| Snapshot item | Observed value or field | Interpretation context |
|---|---|---|
| ASX 200 | Gross yield 4.16%, median yield 3.28% | Calendar snapshot rows include ex-date, record-date, payment-date, amount, currency, and frequency fields. |
| STI | Gross yield 4.31%, median yield 3.41% | Calendar snapshot rows use the same date and amount fields for comparison. |
| FTSE 100 | Gross yield 3.72%, median yield 3.05% | Calendar snapshot rows allow the page to explain sequence without creating a forecast. |
What the data can show
The yield fields can summarize a benchmark snapshot, while the calendar fields show the order of dates behind individual dividend events.
Together, they help a reader move from a percentage to concrete fields such as ex-dividend date, record date, payment date, amount, currency, and frequency.
What the data cannot show
A yield snapshot cannot prove future income, total return, payout durability, tax outcome, or whether a security is appropriate for a reader.
The current DividendTen dataset is also labelled as an initial market snapshot, so the story must remain a methodology-backed example rather than a public market claim.
Relevant market context
ASX 200, STI, and FTSE 100 pages can have similar table structures but different calendars, currencies, and payout-frequency mixes. A reader who sees only yield misses that timing layer.
That is why DividendTen links yield tables to calendar pages and frequency pages instead of leaving each table isolated.
Common interpretation mistake
The common mistake is reading a high yield as a complete explanation. Yield can rise because payouts rise, price falls, a special distribution appears, or the calculation window changes.
Calendar context helps a reader ask better factual questions before drawing conclusions.
Methodology and non-advice note
This story uses benchmark-level fields and generic date fields already present in DividendTen. It does not add company-specific claims, analyst views, or source details that are not in the codebase.
It is educational context and not financial advice, tax advice, or a trading signal.
Glossary terms for this story
These definitions help explain the terms used in the analysis boundary above.
This story is educational context, not financial advice, tax advice, legal advice, or a recommendation. Because current benchmark data is labelled as market snapshot data, this story is published with visible methodology and source context.