publicdataau publicdata.au on GitHub
Published by Department of Justice under CC BY 3.0 AU and republished here without change to the content. Department of Justice has not endorsed this site.An independent republication of open government data. No government agency has endorsed it. Read more

Top 100 baby names by year, Queensland, 1960 to 2005

live
Publisher Department of JusticeUpdated no longerLicence CC BY 3.0 AULatest 2026-03-30Rows 9,200Fields 4

A closed series from the Queensland Registry of Births, Deaths and Marriages of the top 100 first names given to girls and to boys whose births were registered in Queensland in each year from 1960 to 2005, with the number of babies given each name. The registry publishes later years as one file each, which the latest year table follows.

Also called: Historical baby names Queensland, Popular baby names Queensland 1960s 1970s 1980s 1990s, QLD baby name history.

Part of Births, deaths and baby names registered in Queensland, 7 tables the publisher releases together: Top 100 baby names, Queensland, latest year, Births registered by month, Queensland, latest year, Births registered by mother's postcode, Queensland, latest year, Deaths registered by month, Queensland, latest year, Deaths registered by suburb, Queensland, latest year, Deaths registered by residential postcode and quarter, Queensland, latest year.

Before you use it
What is in each row?
One first name, one sex and one year from 1960 to 2005, with the number of babies registered with that name. The registry gives the top 100 names for each sex in each year, so a name appears only in the years it was in the top 100.
Why are the names in capitals?
The registry wrote them in capitals in this file. They are kept as published.
9,200names
1960 to 2005years drawn
4fields
9formats
1version
010k20k30k1960 Female: 11,5271960 Male: 15,1661961 Female: 11,9671961 Male: 15,6041962 Female: 11,5231962 Male: 15,2571963 Female: 11,6891963 Male: 15,22919631964 Female: 11,2911964 Male: 15,0871965 Female: 10,7041965 Male: 14,2911966 Female: 10,1021966 Male: 13,7771967 Female: 10,7391967 Male: 14,6911968 Female: 10,9461968 Male: 14,5751969 Female: 11,0681969 Male: 15,48019691970 Female: 11,1511970 Male: 15,6731971 Female: 11,8651971 Male: 16,5291972 Female: 11,6361972 Male: 16,2331973 Female: 11,2261973 Male: 15,3391974 Female: 10,8771974 Male: 15,5921975 Female: 10,4411975 Male: 14,70819751976 Female: 10,2081976 Male: 14,1101977 Female: 9,9761977 Male: 14,1981978 Female: 9,6731978 Male: 13,9391979 Female: 9,9151979 Male: 14,3411980 Female: 9,5751980 Male: 14,0861981 Female: 10,6251981 Male: 15,53619811982 Female: 11,0551982 Male: 16,0361983 Female: 11,3451983 Male: 16,5011984 Female: 10,9461984 Male: 15,8261985 Female: 10,8261985 Male: 15,6761986 Female: 10,7171986 Male: 15,3101987 Female: 10,4781987 Male: 14,86819871988 Female: 10,6621988 Male: 15,2011989 Female: 11,1781989 Male: 15,4891990 Female: 11,4961990 Male: 16,4881991 Female: 11,2411991 Male: 15,9651992 Female: 11,3351992 Male: 16,6531993 Female: 11,1741993 Male: 16,90719931994 Female: 11,0371994 Male: 16,8141995 Female: 11,0381995 Male: 16,2571996 Female: 11,2731996 Male: 16,4461997 Female: 10,8251997 Male: 16,0721998 Female: 10,7201998 Male: 15,8401999 Female: 10,6111999 Male: 15,60719992000 Female: 10,6752000 Male: 15,5782001 Female: 10,7112001 Male: 15,2182002 Female: 10,7092002 Male: 15,1662003 Female: 10,7532003 Male: 15,2002004 Female: 10,9472004 Male: 15,1402005 Female: 11,0252005 Male: 15,4602005
FemaleMale
Babies given a top 100 name per year by sex, 1960 to 2005. The figure is a sum of the babies given the name column from version 2026-03-30, worked out in the build. Nothing else is added.

Made for agents

Connect your AI agent

Any agent that connects to publicdata.au/mcp can find this dataset, read its 4 fields, count and filter across all 9,200 rows and diff its versions. Every answer names the version and carries Justice's attribution. No key.

Then ask it: What does Top 100 baby names by year, Queensland, 1960 to 2005 hold, and what changed in the newest version?

claude mcp add --transport http publicdata https://publicdata.au/mcp

One command. No key, no account, no sign-up.

Download it as Excel, CSV, JSON and 6 more formats

Pick a format and a version. Excel is picked first because it opens in the tools most offices have. The URL is yours to keep. A dated version never changes.

Format
"Latest" redirects to the newest version and will change when the publisher releases again. A dated version never changes.
https://publicdata.au/d/qld-top-baby-names-1960-2005/latest/data.xlsx
Download

In your own tools

Use it in Excel, R, Python and more

Excel and Power BI read the CSV from its address and refresh from it. The R and Python packages take any dataset on this site by its slug, so a new dataset needs no new release. The DuckDB file attaches read-only over HTTPS, and a query reads only the blocks it touches.

The dated URL in the code never changes. https://publicdata.au/d/qld-top-baby-names-1960-2005/latest/ redirects to the newest version.

https://publicdata.au/d/qld-top-baby-names-1960-2005/latest/data.csv

In Excel choose Data, then From Web, and paste this address. Excel keeps it, so Refresh All reads the newest version. A sheet holds about a million rows; past that, load the query to the Data Model.

What is in it

Column names are made snake_case and the publisher's original header is kept beside each one. Blank cells are null. Nothing is added, removed, ranked or summarised. Headers were made snake_case. Rows were left alone.

FieldTypePublisher's headerNote
namestringName
sexstringSex
yearintegerYear
countintegerCount

Download this table as a data dictionary (Excel), or read it as a Frictionless Table Schema at schema.json. The key is name, sex, year.

A sample of 10 rows

From the latest version, newest first by year of registration, each sex in turn, then in the publisher's order, with every field. A blank cell is shown as null.

namesexyearcount
JACKMale2005634
EMILYFemale2005378
LACHLANMale2005540
ELLAFemale2005377
JOSHUAMale2005419
CHLOEFemale2005348
ETHANMale2005403
OLIVIAFemale2005315
THOMASMale2005394
CHARLOTTEFemale2005286
The first row as JSON

As it appears in data.json.

GET https://publicdata.au/d/qld-top-baby-names-1960-2005/latest/data.json
{
  "name": "JASON",
  "sex": "Male",
  "year": 1972,
  "count": 1017
}

Query it without downloading

The query API returns only the rows you ask for, as JSON, NDJSON or CSV, from the same typed rows as the files. It needs no key. Build a query here and run it, then copy the URL or the code into your own work.

Try rows or aggregate for this dataset. The query builder needs JavaScript.

How filters work

Each filter is field=operator.value in the query string, and every filter must match. A number or date field compares as a number or date, and a text field compares as text. Values are case-sensitive except with ilike. Prefix not. to negate a filter, as not.eq.value.

OperatorWhat it matches
eq.valueEqual to the value.
neq.valueNot equal to the value. A blank cell does not match.
gt.valueGreater than the value.
gte.valueGreater than or equal to the value.
lt.valueLess than the value.
lte.valueLess than or equal to the value.
like.*text*Matches a pattern where * stands for any run of characters. Case-sensitive.
ilike.*text*The same as like, ignoring case.
in.(a,b,c)Equal to any value in the list. A value cannot contain a comma.
is.nullBlank in the source, or suppressed by the publisher.
ParameterWhat it does
selectFields to return, comma-separated. Every field when absent.
orderfield.asc or field.desc, comma-separated. The publisher's row order when absent.
limitRows per page, 1 to 10,000. 100 when absent.
offsetRows to skip. The next URL in each answer sets it for you.
groupOn aggregate, fields to group by, comma-separated.
metricOn aggregate, count, sum.field, avg.field, min.field or max.field, comma-separated. count when absent.
formatjson, ndjson or csv. JSON carries the provenance header, and the others carry it in response headers.

Without a version the API answers from the newest loaded version, and that answer changes when the publisher releases again. Put versions/<date>/ before rows or aggregate for an answer that never changes. /api/v1/datasets/<slug>/versions lists the loaded versions. The 1 newest version is loaded; versions lists them.

The API allows 60 requests in 10 seconds from one address. Above that it answers 429 for 10 seconds with a Retry-After header, a RateLimit-Policy header and a JSON body that gives the limit. Every API answer carries the same RateLimit-Policy. A client should wait the Retry-After seconds, or read the files, which have no limit. openapi.json describes this dataset's query paths for client generators and agents.

https://publicdata.au/mcp is a remote MCP server over Streamable HTTP with the same tools, defined in the same place, so a tool added to the pages is added here too. It needs no key and no account. The row tools are held to the query API's limit of 60 queries in 10 seconds from one address, and each call is two queries because it also counts the matching rows. Add it to Claude Code with claude mcp add --transport http publicdata https://publicdata.au/mcp, add the URL in Claude as a custom connector, or give it to any client that connects to remote MCP servers. Each queryable dataset is also a resource at https://publicdata.au/d/<slug>/fields.json, which lists its fields with their types, the publisher's descriptions, their ranges and the values they hold, so an agent can read a dataset's shape before it writes a query.

Smaller files

The same rows split by a field, one JSON file each. Each file carries the same provenance header.

By sex (2 files)

by/sex/index.json lists every file with its row count.

What changed

One version for every release the publisher has made since this site started following the dataset. The date is the day the file changed on the portal.

  • 2026-03-30
    9,200 rows4 fieldsutf-8-sig4bd6d5b53d61

versions.json · changes.json · history.tar.zst (29 KB, every version's Parquet and manifest)

Questions

How do I download Top 100 baby names by year, Queensland as a CSV file?

Open https://publicdata.au/d/qld-top-baby-names-1960-2005/latest/data.csv. It redirects to the newest dated version, which is https://publicdata.au/d/qld-top-baby-names-1960-2005/v/2026-03-30/data.csv today. The same path serves Excel, JSON, Parquet, SQLite, DuckDB, NDJSON, Arrow. A dated URL never changes, so use it when the file must stay the same.

Can I open Top 100 baby names by year, Queensland in Excel?

Yes. https://publicdata.au/d/qld-top-baby-names-1960-2005/v/2026-03-30/data.xlsx is a workbook with the 9,200 rows on a records sheet, the field list on a second sheet and the provenance on a third. The CSV also opens in Excel. https://publicdata.au/d/qld-top-baby-names-1960-2005/v/2026-03-30/data.csv.gz is the CSV at about a tenth of the size.

What years does Top 100 baby names by year, Queensland cover?

The current version covers 1960 to 2005. Each release from Justice becomes a new dated version here, and earlier versions stay online.

How often is Top 100 baby names by year, Queensland updated?

Justice no longer updates it. This site checks the portal every week and adds a dated version when the file changes.

Can I use Top 100 baby names by year, Queensland commercially?

Yes. CC BY 3.0 AU allows commercial use, redistribution and derived works as long as the attribution is kept. The attribution string is in this page's side column and inside every file.

Is this the official source for Top 100 baby names by year, Queensland?

No. The publisher is Department of Justice, and its page is https://www.data.qld.gov.au/dataset/top-100-baby-names. This site republishes the publisher's file without changing its content. The original sits beside every version as source.csv with its SHA-256, so the two can be compared.

How do I get only the rows for one sex?

Every version has one JSON file per value of sex, 2 files in the current version, listed with row counts at https://publicdata.au/d/qld-top-baby-names-1960-2005/v/2026-03-30/by/sex/index.json. For example https://publicdata.au/d/qld-top-baby-names-1960-2005/v/2026-03-30/by/sex/female.json holds the 4,600 rows where sex is Female.

What this site did to the data. Cells were typed, headers were renamed and the encoding was made UTF-8. Rows were left alone. The publisher's file sits beside every version as source.csv so the change can be checked.

Births, deaths and baby names registered in Queensland is 7 tables here, and each takes its version date from its own file.