MARKETSUSREGION

MARKETSUSREGION is obsolete from 2017 End of Year DM4.27 Release. MARKETSUSREGION sets out a regions affected by a market suspension.

Deprecation Warning

This table is in the HISTORICAL TABLES package, so is likely deprecated.

MARKETSUSREGION is public data, so is available to all participants.

Source

MARKETSUSREGION updates only if market is suspended.

Column Schema

REGIONID

Differentiates this region from all other regions

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.

SUSPENSIONID

Unique identifier of suspension

SQL Type: VARCHAR2(10) Polars Type: str

This column is mandatory, and a primary key.

Examples:

SA BLACK
Y2KCAP

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: 1999/12/30 19:10:13

New Data Timing

When the market is suspended

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("LASTCHANGED").str.strptime(pl.Datetime, dt_s_fmt),
    )
    .cast(
        {
            "REGIONID": pl.Enum(["QLD1", "VIC1", "TAS1", "NSW1", "SA1", "SNOWY1"]),
            "SUSPENSIONID": str,
        }
    )
    # Deduplicate
    # We want one row per ['REGIONID', 'SUSPENSIONID']
    # Tie-breaker: greatest value of ['LASTCHANGED']
    .sort(["LASTCHANGED"], descending=False)
    .unique(subset=["REGIONID", "SUSPENSIONID"], keep="last")
)

Nemosis

This table is not yet available in Nemosis.

Example File

From PUBLIC_ARCHIVE_MARKETSUSREGION_FILE01_202609010000.zip

Table without MetadataTable with MetadataRaw Text without Metadata

SUSPENSIONID	REGIONID	LASTCHANGED
Y2KCAP	NSW1	1999/12/30 19:10:13
Y2KCAP	QLD1	1999/12/30 19:10:13
Y2KCAP	SA1	1999/12/30 19:10:13
Y2KCAP	SNOWY1	1999/12/30 19:10:13
Y2KCAP	VIC1	1999/12/30 19:10:13
SA BLACK	SA1	2016/10/11 22:47:44

C	SETP.WORLD	DVD_MARKETSUSREGION	AEMO	PUBLIC	2026/10/09	15:53:29	001791525209203	MONTHLY_ARCHIVE	001791525209203
I	FORCE_MAJEURE	MARKETSUSREGION	1	SUSPENSIONID	REGIONID	LASTCHANGED
D	FORCE_MAJEURE	MARKETSUSREGION	1	Y2KCAP	NSW1	1999/12/30 19:10:13
D	FORCE_MAJEURE	MARKETSUSREGION	1	Y2KCAP	QLD1	1999/12/30 19:10:13
D	FORCE_MAJEURE	MARKETSUSREGION	1	Y2KCAP	SA1	1999/12/30 19:10:13
D	FORCE_MAJEURE	MARKETSUSREGION	1	Y2KCAP	SNOWY1	1999/12/30 19:10:13
D	FORCE_MAJEURE	MARKETSUSREGION	1	Y2KCAP	VIC1	1999/12/30 19:10:13
D	FORCE_MAJEURE	MARKETSUSREGION	1	SA BLACK	SA1	2016/10/11 22:47:44
C	END OF REPORT	9

SUSPENSIONID,REGIONID,LASTCHANGED
Y2KCAP,NSW1,"1999/12/30 19:10:13"
Y2KCAP,QLD1,"1999/12/30 19:10:13"
Y2KCAP,SA1,"1999/12/30 19:10:13"
Y2KCAP,SNOWY1,"1999/12/30 19:10:13"
Y2KCAP,VIC1,"1999/12/30 19:10:13"
"SA BLACK ",SA1,"2016/10/11 22:47:44"

Raw Text with Metadata

C,SETP.WORLD,DVD_MARKETSUSREGION,AEMO,PUBLIC,2026/10/09,15:53:29,001791525209203,MONTHLY_ARCHIVE,001791525209203
I,FORCE_MAJEURE,MARKETSUSREGION,1,SUSPENSIONID,REGIONID,LASTCHANGED
D,FORCE_MAJEURE,MARKETSUSREGION,1,Y2KCAP,NSW1,"1999/12/30 19:10:13"
D,FORCE_MAJEURE,MARKETSUSREGION,1,Y2KCAP,QLD1,"1999/12/30 19:10:13"
D,FORCE_MAJEURE,MARKETSUSREGION,1,Y2KCAP,SA1,"1999/12/30 19:10:13"
D,FORCE_MAJEURE,MARKETSUSREGION,1,Y2KCAP,SNOWY1,"1999/12/30 19:10:13"
D,FORCE_MAJEURE,MARKETSUSREGION,1,Y2KCAP,VIC1,"1999/12/30 19:10:13"
D,FORCE_MAJEURE,MARKETSUSREGION,1,"SA BLACK ",SA1,"2016/10/11 22:47:44"
C,"END OF REPORT",9

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 1 of 2015. 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 5 KB when zipped, 53 KB as unzipped CSV.

Deduplication and PDR Loader Configuration

The primary keys are:

REGIONID
SUSPENSIONID

PDR Loader configuration is:

Report Name	Report Subtype	Version	Undisclosed
FORCE_MAJEURE	MARKETSUSREGION	1	⚠️

Warning

Some of these file mappings are not in the published PDR Loader configuration file, even though files for this table exist with those metadata values. Mappings marked with ⚠️ have been added by me after manually inspecting those files.

This means that the CSV files start with metadata columns:

I,FORCE_MAJEURE,MARKETSUSREGION,1,...
D,FORCE_MAJEURE,MARKETSUSREGION,1,...

Indexes

LASTCHANGED

Links

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: HISTORICAL TABLES