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AVERAGEPRICE30

Reflects the 30-minute average price (the pre-5MS trading price).

Column Schema

PERIODDATE

30-minute interval period, 1 to 48 from the start of the calendar day

Warning

Despite what the name suggests, this is a datetime, not a date.

SQL Type: DATE Polars Type: pl.Datetime()

This column is mandatory, and a primary key.

Example: 2026/09/01 00:30:00

REGIONID

Region Identifier

For more information, see the dedicated documentation page.

The SQL type is VARCHAR2(10). This is actually a factor/enum, with values:

  • QLD1

  • VIC1

  • TAS1

  • NSW1

  • SA1

  • SNOWY1

This column is mandatory, and a primary key.

LASTCHANGED

Last date and time record changed

For more information, see the dedicated documentation page.

SQL Type: DATE Polars Type: pl.Datetime()

This column is not mandatory.

Example: 2026/09/01 00:25:07

PERIODID

The 30-minute interval period, 1 to 48

SQL Type: NUMBER(3,0) Polars Type: pl.Int16

This column is mandatory (but not a primary key).

Examples: 1, 48

PRICE_CONFIDENCE

Result of Manifestly Incorrect Inputs Price Status and OCD_Status - either "FIRM" or "NOT FIRM". Only FIRM if the Dispatch Interval is resolved for both MII and OCD

SQL Type: VARCHAR2(20) Polars Type: str

This column is not mandatory.

Example: FIRM

RRP

Regional reference price for this period

For more information, see the dedicated documentation page.

SQL Type: NUMBER(15,5) Polars Type: pl.Float64

This column is not mandatory.

Examples: -0.02, 0.01, 0, 162

New Data Timing

Every 30 minutes on price update

Code Examples

Polars

Casting is enums, categoricals etc is not essential, but may speed up parsing. Swapping int for pl.UInt16, pl.Int32 would also speed up parsing. However some of the datatypes are inferred, so they may be wrong.

This code deduplicates for you. Deduplication is normally only required across multiple months.

This code assumes that all columns are present, which may not be true for older files.

import polars as pl
import polars.selectors as cs

# e.g. "2029/03/15 00:05:00"
dt_s_fmt = "%Y/%m/%d %H:%M:%S"

csv_paths = ["SOMEFILE.CSV", "OTHERFILE.CSV"]

lf = (
    pl.concat(
        [
            pl.scan_csv(
                csv_path,  # must be unzipped beforehand
                skip_rows=1,  # skip the header
                infer_schema=False,  # much faster
            )
            .filter(cs.by_index(0) == "D")  # drop the footer
            .select(~cs.by_index(range(4)))  # drop metadata columns
            for csv_path in csv_paths
        ],
        how="diagonal_relaxed",
    )
    .with_columns(
        pl.col("PERIODDATE", "LASTCHANGED").str.strptime(pl.Datetime, dt_s_fmt),
    )
    .cast(
        {
            "REGIONID": pl.Enum(["QLD1", "VIC1", "TAS1", "NSW1", "SA1", "SNOWY1"]),
            "PERIODID": int,  # or pl.Int16
            "PRICE_CONFIDENCE": str,
            "RRP": pl.Float64,
        }
    )
    # Deduplicate
    # We want one row per ['PERIODDATE', 'REGIONID']
    # Tie-breaker: greatest value of LASTCHANGED
    .sort(LASTCHANGED, descending=False)
    .unique(subset=["PERIODDATE", "REGIONID"], keep="last")
)

Nemosis

This table is not yet available in Nemosis.

Example File

From PUBLIC_ARCHIVE_AVERAGEPRICE30_FILE01_202609010000.zip

PERIODDATEREGIONIDPERIODIDRRPPRICE_CONFIDENCELASTCHANGED
2026/09/01 00:30:00NSW1167.95FIRM2026/09/01 00:25:07
2026/09/01 00:30:00QLD1157.61FIRM2026/09/01 00:25:07
2026/09/01 00:30:00SA1119.12FIRM2026/09/01 00:25:07
2026/09/01 00:30:00TAS1127.74FIRM2026/09/01 00:25:07
2026/09/01 00:30:00VIC1113.07FIRM2026/09/01 00:25:07
2026/09/01 01:00:00NSW1264.94FIRM2026/09/01 00:55:08
2026/09/01 01:00:00QLD1254.83FIRM2026/09/01 00:55:08
2026/09/01 01:00:00SA1217.55FIRM2026/09/01 00:55:08
2026/09/01 01:00:00TAS1221.09FIRM2026/09/01 00:55:08
2026/09/01 01:00:00VIC1210.02FIRM2026/09/01 00:55:08
2026/09/01 01:30:00NSW1361.36FIRM2026/09/01 01:25:10
...

CSETP.WORLDDVD_AVERAGEPRICE30AEMOPUBLIC2026/10/0915:24:38001791523478530MONTHLY_ARCHIVE001791523478530
ITRADINGAVERAGEPRICE301PERIODDATEREGIONIDPERIODIDRRPPRICE_CONFIDENCELASTCHANGED
DTRADINGAVERAGEPRICE3012026/09/01 00:30:00NSW1167.95FIRM2026/09/01 00:25:07
DTRADINGAVERAGEPRICE3012026/09/01 00:30:00QLD1157.61FIRM2026/09/01 00:25:07
DTRADINGAVERAGEPRICE3012026/09/01 00:30:00SA1119.12FIRM2026/09/01 00:25:07
DTRADINGAVERAGEPRICE3012026/09/01 00:30:00TAS1127.74FIRM2026/09/01 00:25:07
DTRADINGAVERAGEPRICE3012026/09/01 00:30:00VIC1113.07FIRM2026/09/01 00:25:07
DTRADINGAVERAGEPRICE3012026/09/01 01:00:00NSW1264.94FIRM2026/09/01 00:55:08
DTRADINGAVERAGEPRICE3012026/09/01 01:00:00QLD1254.83FIRM2026/09/01 00:55:08
DTRADINGAVERAGEPRICE3012026/09/01 01:00:00SA1217.55FIRM2026/09/01 00:55:08
DTRADINGAVERAGEPRICE3012026/09/01 01:00:00TAS1221.09FIRM2026/09/01 00:55:08
DTRADINGAVERAGEPRICE3012026/09/01 01:00:00VIC1210.02FIRM2026/09/01 00:55:08
DTRADINGAVERAGEPRICE3012026/09/01 01:30:00NSW1361.36FIRM2026/09/01 01:25:10
...
CEND OF REPORT1003

PERIODDATE,REGIONID,PERIODID,RRP,PRICE_CONFIDENCE,LASTCHANGED
"2026/09/01 00:30:00",NSW1,1,67.95,FIRM,"2026/09/01 00:25:07"
"2026/09/01 00:30:00",QLD1,1,57.61,FIRM,"2026/09/01 00:25:07"
"2026/09/01 00:30:00",SA1,1,19.12,FIRM,"2026/09/01 00:25:07"
"2026/09/01 00:30:00",TAS1,1,27.74,FIRM,"2026/09/01 00:25:07"
"2026/09/01 00:30:00",VIC1,1,13.07,FIRM,"2026/09/01 00:25:07"
"2026/09/01 01:00:00",NSW1,2,64.94,FIRM,"2026/09/01 00:55:08"
"2026/09/01 01:00:00",QLD1,2,54.83,FIRM,"2026/09/01 00:55:08"
"2026/09/01 01:00:00",SA1,2,17.55,FIRM,"2026/09/01 00:55:08"
"2026/09/01 01:00:00",TAS1,2,21.09,FIRM,"2026/09/01 00:55:08"
"2026/09/01 01:00:00",VIC1,2,10.02,FIRM,"2026/09/01 00:55:08"
"2026/09/01 01:30:00",NSW1,3,61.36,FIRM,"2026/09/01 01:25:10"
...

C,SETP.WORLD,DVD_AVERAGEPRICE30,AEMO,PUBLIC,2026/10/09,15:24:38,001791523478530,MONTHLY_ARCHIVE,001791523478530
I,TRADING,AVERAGEPRICE30,1,PERIODDATE,REGIONID,PERIODID,RRP,PRICE_CONFIDENCE,LASTCHANGED
D,TRADING,AVERAGEPRICE30,1,"2026/09/01 00:30:00",NSW1,1,67.95,FIRM,"2026/09/01 00:25:07"
D,TRADING,AVERAGEPRICE30,1,"2026/09/01 00:30:00",QLD1,1,57.61,FIRM,"2026/09/01 00:25:07"
D,TRADING,AVERAGEPRICE30,1,"2026/09/01 00:30:00",SA1,1,19.12,FIRM,"2026/09/01 00:25:07"
D,TRADING,AVERAGEPRICE30,1,"2026/09/01 00:30:00",TAS1,1,27.74,FIRM,"2026/09/01 00:25:07"
D,TRADING,AVERAGEPRICE30,1,"2026/09/01 00:30:00",VIC1,1,13.07,FIRM,"2026/09/01 00:25:07"
D,TRADING,AVERAGEPRICE30,1,"2026/09/01 01:00:00",NSW1,2,64.94,FIRM,"2026/09/01 00:55:08"
D,TRADING,AVERAGEPRICE30,1,"2026/09/01 01:00:00",QLD1,2,54.83,FIRM,"2026/09/01 00:55:08"
D,TRADING,AVERAGEPRICE30,1,"2026/09/01 01:00:00",SA1,2,17.55,FIRM,"2026/09/01 00:55:08"
D,TRADING,AVERAGEPRICE30,1,"2026/09/01 01:00:00",TAS1,2,21.09,FIRM,"2026/09/01 00:55:08"
D,TRADING,AVERAGEPRICE30,1,"2026/09/01 01:00:00",VIC1,2,10.02,FIRM,"2026/09/01 00:55:08"
D,TRADING,AVERAGEPRICE30,1,"2026/09/01 01:30:00",NSW1,3,61.36,FIRM,"2026/09/01 01:25:10"
...
C,"END OF REPORT",1003

Availability

Visibility: Public

This table is in the public monthly MMSDM archive.

I have collated the list of all those files into one place, in this CSV metadata file. (Columns year, month, url, compressed_size in bytes).

The earliest available data is month 8 of 2024. The most recent available data is month 9 of 2026.

Every month in between has a file. (No gaps.)

Data Size

Each year of data is approximately 751 KB when zipped, 8 MB as unzipped CSV.

Deduplication and PDR Loader Configuration

The primary keys are:

The transaction type is "INSERT-UPDATE", which means that you will likely see duplicate data with different values.

You should deduplicate by sorting based on LASTCHANGED, within each group of primary keys.

PDR Loader configuration is:

Report Name Report Subtype Version
TRADING AVERAGEPRICE30 1

This means that the CSV files start with metadata columns:

I,TRADING,AVERAGEPRICE30,1,...
D,TRADING,AVERAGEPRICE30,1,...

ROW_FILTER_TYPE is LASTCHANGED

This page as JSON (schema documented here, but may change)

Download a JSON Schema specification for this table.

Official AEMO schema documentation

Other Information

Package: TRADING_DATA