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SECDEPOSIT_INTEREST_RATE

The security deposit interest rate on a daily basis. This is the public table published when the business enter and authorise a new daily interest rate

SECDEPOSIT_INTEREST_RATE data is public to all participants.

Column Schema

EFFECTIVEDATE

The effective date of the interest rate change

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

This column is mandatory, and a primary key.

Example: 2018/02/07 00:00:00

Note that AEMO represents dates as datetimes with a midnight time component.

INTEREST_ACCT_ID

The interest account ID for calculating the interest payment

SQL Type: VARCHAR2(20) Polars Type: pl.Categorical

This column is mandatory, and a primary key.

Example: SDA

VERSION_DATETIME

Date Time this record was added

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

This column is mandatory, and a primary key.

Example: 2018/02/27 09:02:17

INTEREST_RATE

The interest rate for the interest account ID as on the effective date.

SQL Type: NUMBER(18,8) Polars Type: pl.Float64

This column is not mandatory.

Examples: 0.3, 1.7

New Data Timing

Upon entering and authorising the security deposit provision and interest rate

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"

# Dates are represented as datetimes at midnight

d_fmt = "%Y/%m/%d 00:00:00"

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("VERSION_DATETIME").str.strptime(pl.Datetime, dt_s_fmt),
        pl.col("EFFECTIVEDATE").str.strptime(pl.Date, d_fmt),
    )
    .cast(
        {
            "EFFECTIVEDATE": pl.Date(),
            "INTEREST_ACCT_ID": pl.Categorical,
            "INTEREST_RATE": pl.Float64,
        }
    )
    # Deduplicate
    # We want one row per ['EFFECTIVEDATE', 'INTEREST_ACCT_ID', 'VERSION_DATETIME']
    .unique(
        subset=["EFFECTIVEDATE", "INTEREST_ACCT_ID", "VERSION_DATETIME"], keep="any"
    )
)

Nemosis

This table is not yet available in Nemosis.

Example File

From PUBLIC_ARCHIVE_SECDEPOSIT_INTEREST_RATE_FILE01_202609010000.zip

INTEREST_ACCT_IDEFFECTIVEDATEVERSION_DATETIMEINTEREST_RATE
SDA2018/03/06 00:00:002018/03/16 10:53:391.7
SDA2018/04/03 00:00:002018/04/09 17:14:351.7
SDA2018/05/01 00:00:002018/05/03 15:10:021.7
SDA2018/06/05 00:00:002018/06/05 15:28:341.7
SDA2018/07/03 00:00:002018/07/11 10:42:151.7
SDA2018/08/07 00:00:002018/08/08 10:58:111.7
SDA2018/09/05 00:00:002018/09/04 16:02:541.7
SDA2018/11/07 00:00:002018/11/07 08:44:141.7
SDA2019/01/09 00:00:002019/01/09 07:32:431.7
SDA2019/02/06 00:00:002019/02/08 09:25:491.7
SDA2019/04/03 00:00:002019/04/03 13:15:501.7
...

CSETP.WORLDDVD_SECDEPOSIT_INTEREST_RATEAEMOPUBLIC2026/10/0916:30:37001791527437307MONTHLY_ARCHIVE001791527437307
IBILLING_CONFIGSECDEPOSIT_INTEREST_RATE1INTEREST_ACCT_IDEFFECTIVEDATEVERSION_DATETIMEINTEREST_RATE
DBILLING_CONFIGSECDEPOSIT_INTEREST_RATE1SDA2018/03/06 00:00:002018/03/16 10:53:391.7
DBILLING_CONFIGSECDEPOSIT_INTEREST_RATE1SDA2018/04/03 00:00:002018/04/09 17:14:351.7
DBILLING_CONFIGSECDEPOSIT_INTEREST_RATE1SDA2018/05/01 00:00:002018/05/03 15:10:021.7
DBILLING_CONFIGSECDEPOSIT_INTEREST_RATE1SDA2018/06/05 00:00:002018/06/05 15:28:341.7
DBILLING_CONFIGSECDEPOSIT_INTEREST_RATE1SDA2018/07/03 00:00:002018/07/11 10:42:151.7
DBILLING_CONFIGSECDEPOSIT_INTEREST_RATE1SDA2018/08/07 00:00:002018/08/08 10:58:111.7
DBILLING_CONFIGSECDEPOSIT_INTEREST_RATE1SDA2018/09/05 00:00:002018/09/04 16:02:541.7
DBILLING_CONFIGSECDEPOSIT_INTEREST_RATE1SDA2018/11/07 00:00:002018/11/07 08:44:141.7
DBILLING_CONFIGSECDEPOSIT_INTEREST_RATE1SDA2019/01/09 00:00:002019/01/09 07:32:431.7
DBILLING_CONFIGSECDEPOSIT_INTEREST_RATE1SDA2019/02/06 00:00:002019/02/08 09:25:491.7
DBILLING_CONFIGSECDEPOSIT_INTEREST_RATE1SDA2019/04/03 00:00:002019/04/03 13:15:501.7
...
CEND OF REPORT39

INTEREST_ACCT_ID,EFFECTIVEDATE,VERSION_DATETIME,INTEREST_RATE
SDA,"2018/03/06 00:00:00","2018/03/16 10:53:39",1.7
SDA,"2018/04/03 00:00:00","2018/04/09 17:14:35",1.7
SDA,"2018/05/01 00:00:00","2018/05/03 15:10:02",1.7
SDA,"2018/06/05 00:00:00","2018/06/05 15:28:34",1.7
SDA,"2018/07/03 00:00:00","2018/07/11 10:42:15",1.7
SDA,"2018/08/07 00:00:00","2018/08/08 10:58:11",1.7
SDA,"2018/09/05 00:00:00","2018/09/04 16:02:54",1.7
SDA,"2018/11/07 00:00:00","2018/11/07 08:44:14",1.7
SDA,"2019/01/09 00:00:00","2019/01/09 07:32:43",1.7
SDA,"2019/02/06 00:00:00","2019/02/08 09:25:49",1.7
SDA,"2019/04/03 00:00:00","2019/04/03 13:15:50",1.7
...

C,SETP.WORLD,DVD_SECDEPOSIT_INTEREST_RATE,AEMO,PUBLIC,2026/10/09,16:30:37,001791527437307,MONTHLY_ARCHIVE,001791527437307
I,BILLING_CONFIG,SECDEPOSIT_INTEREST_RATE,1,INTEREST_ACCT_ID,EFFECTIVEDATE,VERSION_DATETIME,INTEREST_RATE
D,BILLING_CONFIG,SECDEPOSIT_INTEREST_RATE,1,SDA,"2018/03/06 00:00:00","2018/03/16 10:53:39",1.7
D,BILLING_CONFIG,SECDEPOSIT_INTEREST_RATE,1,SDA,"2018/04/03 00:00:00","2018/04/09 17:14:35",1.7
D,BILLING_CONFIG,SECDEPOSIT_INTEREST_RATE,1,SDA,"2018/05/01 00:00:00","2018/05/03 15:10:02",1.7
D,BILLING_CONFIG,SECDEPOSIT_INTEREST_RATE,1,SDA,"2018/06/05 00:00:00","2018/06/05 15:28:34",1.7
D,BILLING_CONFIG,SECDEPOSIT_INTEREST_RATE,1,SDA,"2018/07/03 00:00:00","2018/07/11 10:42:15",1.7
D,BILLING_CONFIG,SECDEPOSIT_INTEREST_RATE,1,SDA,"2018/08/07 00:00:00","2018/08/08 10:58:11",1.7
D,BILLING_CONFIG,SECDEPOSIT_INTEREST_RATE,1,SDA,"2018/09/05 00:00:00","2018/09/04 16:02:54",1.7
D,BILLING_CONFIG,SECDEPOSIT_INTEREST_RATE,1,SDA,"2018/11/07 00:00:00","2018/11/07 08:44:14",1.7
D,BILLING_CONFIG,SECDEPOSIT_INTEREST_RATE,1,SDA,"2019/01/09 00:00:00","2019/01/09 07:32:43",1.7
D,BILLING_CONFIG,SECDEPOSIT_INTEREST_RATE,1,SDA,"2019/02/06 00:00:00","2019/02/08 09:25:49",1.7
D,BILLING_CONFIG,SECDEPOSIT_INTEREST_RATE,1,SDA,"2019/04/03 00:00:00","2019/04/03 13:15:50",1.7
...
C,"END OF REPORT",39

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 11 KB when zipped, 109 KB as unzipped CSV.

Deduplication and PDR Loader Configuration

The primary keys are:

The transaction type is "insert", which means that you will usually not see duplicate data. If you do, you can deduplicate based on the primary keys, without sorting first. Rows from different files with the same primary keys should have the same values.

PDR Loader configuration is:

Report Name Report Subtype Version
BILLING_CONFIG SECDEPOSIT_INTEREST_RATE 1

This means that the CSV files start with metadata columns:

I,BILLING_CONFIG,SECDEPOSIT_INTEREST_RATE,1,...
D,BILLING_CONFIG,SECDEPOSIT_INTEREST_RATE,1,...

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: BILLING_CONFIG