Datasets

fplida carries the published structure of 44 datasets: 43 PLIDA datasets and the BLADE module. Together they hold 72,656 variable occurrences, which reduce to 18,540 distinct dataset-and-variable pairs.

The same variable often appears in many tables of the same dataset. Each dataset page lists the distinct variables once and records where each one appears.

All datasets

Grouped by the agency that supplies the data. COMBINED and CORE are derived from several agencies.

Code	Name	Agency	Collection	Products	Tables	Variables
Australian Taxation Office ATO 14 datasets
ATO_CR	ATO Client Register	ATO	administrative	2	9	24
ATO_MCS	Member Contributions Statement	ATO	administrative	1	19	62
BUSOWN	Business Ownership	ATO	administrative	15	33	5
CGT	Capital Gains Tax	ATO	administrative	23	24	146
ERS	COVID-19 Early Release of Super scheme	ATO	administrative	1	1	29
JK	JobKeeper Payment	ATO	administrative	1	5	49
JM	JobMaker Hiring Credit scheme	ATO	administrative	1	1	30
PIT_IE	ABS Derived Income	ATO	administrative	14	15	18
PIT_ITR	Income Tax Return	ATO	administrative	107	120	601
PIT_PS	Payment Summaries	ATO	administrative	22	31	41
RPS	Rental Property Schedule	ATO	administrative	24	38	42
SAE	Superannuation Accounts Extract	ATO	administrative	6	9	55
SMSF	Self Managed Super Fund	ATO	administrative	16	32	192
STP	Single Touch Payroll Extended | Single Touch Payroll Standard	ATO	administrative	2	182	56
Australian Bureau of Statistics ABS 8 datasets
ACLD	Australian Census Longitudinal Dataset	ABS	administrative	2	2	841
CENSUS	Census of Population and Housing	ABS	administrative	9	9	261
LFS	Longitudinal Labour Force Survey	ABS	survey	2	2	384
NHS	National Health Survey	ABS	survey	16	28	1,486
NSMHW	National Study of Mental Health and Wellbeing	ABS	survey	1	2	3,319
PEX	Patient Experience Survey	ABS	survey	1	1	232
SDAC	Survey of Disability, Ageing and Carers	ABS	survey	11	20	2,810
BLADE	Business Longitudinal Analysis Data Environment	ABS	administrative_and_survey	64	64	4,884
Department of Home Affairs HA 5 datasets
AMEP	Adult Migrant English Program	HA	administrative	7	7	417
MT_DEMOGS	Migrant and Traveller Demographics	HA	administrative	1	6	27
SDB	Settlements Database	HA	administrative	1	3	30
TRAVELLERS	Travellers	HA	administrative	3	35	588
VISA	Visa Applications and Grants	HA	administrative	1	7	69
Department of Health, Disability and Ageing DHDA 3 datasets
AIR	Australian Immunisation Register	DHDA	administrative	1	7	58
MBS	Medicare Benefits Schedule	DHDA	administrative	20	259	26
PBS	Pharmaceutical Benefits Scheme	DHDA	administrative	20	232	30
Department of Education DE 2 datasets
AEDC	Australian Early Development Census	DE	administrative	30	30	433
HE	Higher Education	DE	administrative	1	5	50
Department of Social Services DSS 2 datasets
DEX	Data Exchange	DSS	administrative	1	15	149
DOMINO	DOMINO Centrelink Administrative Data	DSS	administrative	35	64	211
Registry of Births, Deaths, and Marriages RBDM 2 datasets
BIRTHS	Birth Registrations	RBDM	administrative	1	4	55
DEATHS	Death Registrations	RBDM	administrative	24	50	77
Australian Institute of Health and Welfare AIHW 1 dataset
NACDC	National Aged Care Data Clearinghouse	AIHW	administrative	6	57	75
Australian Public Service Commission APSC 1 dataset
APSED	APS Employment Dataset	APSC	administrative	1	9	36
Department of Employment and Workplace Relations DEWR 1 dataset
A&T	Apprentice and Trainee	DEWR	administrative	1	22	132
National Centre for Vocational Education Research NCVER 1 dataset
TVA	Total VET Activity	NCVER	administrative	90	167	91
National Disability Insurance Agency NDIA 1 dataset
NDIS	National Disability Insurance Scheme	NDIA	administrative	6	134	205
Services Australia SA 1 dataset
MCD	Medicare Consumer Directory	SA	administrative	1	16	31
Multiple agencies 2 datasets
COMBINED	Combined Demographics – Indigenous status	Multiple	administrative	4	8	4
CORE	Core Demographics | Core Income | Core Locations | Core Relationships | Core Scoping	Multiple	administrative	27	420	179

Reading the value support status

Each variable carries one of four statuses, recording where its values came from.

• sourced — the codes come from a published classification or code list, named under Value source.
• guessed — the codes are inferred from the variable’s name and description, not from a published list. A variable whose name ends _STATE is given the Australian state and territory codes on that basis alone. The generated column holds plausible values of the right shape, but the source does not confirm them. Treat them as a placeholder, not a mapping.
• unsupported — research looked for a value domain and found nothing defensible, so the synthetic column is written as typed missing rather than given invented codes. Seven occurrences reach this bar.
• not_applicable — the variable belongs to a survey, which is outside the value-assessment scope. The structure is present; the values are not assessed.

A status describes the registry, not the fidelity of the generated column. Even for a sourced variable it does not guarantee that a canonical companion file populates that column.

An empty value list does not always mean an unknown domain. Some published classifications are too large to carry here — mesh blocks run to 358,010 codes — and some could only be sampled, which is not the same as knowing the domain. In both cases the domain, its source and its size are recorded, and Value definition says which case applies.