If you search Australian baby name rankings, a name’s position depends on how the count is recorded. Official datasets list each spelling separately, so “Emmaline” and “Emaline” are different entries. Combining variant spellings can move a name up or down the apparent ranking. This article explains why the split happens and how merging spellings changes the view, using the public ozbabynames dataset as the reference point.
How Australian name counts are recorded
The open dataset ozbabynames provides popular Australian baby names by sex, state and year (ozbabynames, https://pkg.robjhyndman.com/ozbabynames/). It draws on state registries and publishes the raw counts as recorded. Because the data is stored by exact name string, every spelling variant is a separate row. This is a factual feature of the dataset, not a judgement about which spelling is correct.
A sample of the data shows rows such as 2024 New South Wales female names with individual counts for Charlotte, Amelia, Olivia, Mia, Isla and Chloe (ozbabynames head example). Each row is one name spelling in one state, for one sex, in one year. There is no built-in column that groups “same name, different spelling”.
When a state registry records a birth, the name is entered as written on the registration. The ozbabynames package aggregates those records by name, state, sex and year (ozbabynames). If parents choose “Lincoln” in some births and “Lincoln” in others, the tool reports two distinct counts. No automatic merging happens.
Why variant spellings split the ranking
Spelling variants arise from family tradition, cultural adaptation, phonetic spelling or simple preference. From a data perspective, they are separate strings. The ozbabynames data treats “Catherine” and “Katherine” as two names because the underlying registrations are recorded that way.
A name that is commonly spelled several ways will appear as several smaller entries rather than one larger total. A single spelling might sit outside the top 100 in a state, while the combined variants would rank much higher. The dataset does not perform that combination for you.
Practical interpretation: if you look only at the exact spelling “Catherine”, you may conclude the name is declining. If you also add “Katherine”, “Kathryn” or other forms, the combined picture can look different. Whether the rank changes depends on the counts of other names near the boundary.
Questions to verify before relying on a combined rank: - Which spellings are genuinely the same name in your family or cultural context? - Are the variants recorded in the states and years you are studying? - Does the source data cover the location fully for that period? - Are you comparing like with like (same sex, same year, same state)?
How combining variants changes the apparent rank
You can combine spellings manually by filtering for the variants you care about and summing their counts. The package documentation shows a similar method: grouping by name and sex and summing count across states for a given year (ozbabynames example usage). The same logic applies if you list multiple spellings of one name and add the counts.
For example, suppose a state reports 50 births for “Aaliyah”, 30 for “Aliyah” and 20 for “Alia” in the same year. Taken separately, none may reach the top 20. Combined, the 100 total could place the name in the top 10. The babies were always there; the ranking view changed because the comparison group shifted.
This is a data-view effect, not a change in how many babies were named. It does not predict future popularity, nor does it suggest one spelling is better. It simply answers the question: “How many children received a name in this set of spellings?”
Data coverage you must check
The ozbabynames dataset has uneven coverage (ozbabynames Known Issues). Some states provide only recent years; some provide only the top 50 or 100 names. The ACT does not provide counts, so no ACT data are included. South Australia has by far the best data, with full coverage of all names back to 1944 (ozbabynames). Western Australia is included but, like others, may have limits on historical depth or rank cutoff.
This means a combined variant rank is most reliable for South Australia across many decades, and less certain for jurisdictions with partial releases. If a state only publishes its top 50 names, variant spellings below that threshold will be absent, making combination incomplete.
| State / Territory | Coverage note from ozbabynames |
|---|---|
| South Australia | Full coverage of all names back to 1944 |
| ACT | No counts provided; excluded |
| Other states (e.g. NSW, WA, QLD, VIC, TAS, NT) | Some recent only, or top 50/100 only; verify per source |
Table summarises stated known issues; verify current scope at the source before use.
Check a name yourself: step-by-step
You do not need to install R to understand the principle, but the dataset is publicly documented. To investigate a spelling variant:
- List the exact spellings you want to compare (e.g., “Jackson”, “Jaxon”, “Jaxson”).
- Look up each spelling in the ozbabynames data for your target state and year.
- Sum the counts for the same sex and year.
- Compare that summed figure against the single-spelling counts of other names in the same table.
- Repeat for each year if you want a trend.
If you use the R package, the example code filters by name %in% c(...) and sums count (ozbabynames). That approach can be adapted to a vector of spelling variants. The package is available on CRAN and in a development version on GitHub (ozbabynames).
Limits of this explanation
The discussion above is general information about how count data is structured. It is not personal advice about naming a child, and it does not predict which names will become popular. Rankings shift with new births and revised releases. The publisher, Australian Name, is not a government agency, registry or data provider, and this article is not a substitute for checking official records.
Concrete next step
Pick one name you are considering and write down its common spellings. Open the ozbabynames source or your state’s registry release and record the count for each spelling in the same year and state. Add them together, then check where that total sits against the published top names. If you need historical depth, start with South Australia’s full series back to 1944 (ozbabynames). Re‑evaluate each year as new data appears, and keep your variant list explicit so the method stays transparent.
General information only. Verify all counts with the official source before making decisions based on rankings.