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Datasets / Urban public housing wait times, wait list and allocations, Northern Territory, 2018 to 2020 / 2021-03-31

Urban public housing wait times, wait list and allocations, Northern Territory, 2018 to 2020, version 2021-03-31

latest
Rows 370Fields 5Fetched 5 October 2026Source SHA-256 e17d6b00c7311ecb…

This version is kept for as long as this site exists, and its URL can be cited. Its files change only for the reasons the terms give, and each change is recorded in its notes. The publisher's file is here as source.csv, byte for byte.

About this version

The publisher offers the series as one file per period. These bytes are every row of every file as one table, ordered by every column, with a row that appears in two files kept once; the manifest counts the files and the repeated rows.

Files

  • data.arrow9.6 KB Arrow: Arrow IPC file (Feather v2), zstd compressed, with the provenance in the schema metadata. Memory-maps in pyarrow, Polars, Arrow JS and R without parsing.
  • data.csv21 KB CSV: UTF-8 without a byte-order mark, RFC 4180 quoting, one header row using the normalised field names. Opens in Excel, Numbers and Sheets.
  • data.csv-metadata.json2.4 KB
  • data.csv.gz1.9 KB CSV (gzip): The same CSV, gzipped, at about a tenth of the size. curl, pandas, DuckDB and R read it directly.
  • data.duckdb DuckDB: One DuckDB database with a records table of typed columns, a fields table and a publicdata metadata table. It attaches read-only over HTTPS, so DuckDB, Python and R can query it without downloading it.
  • data.json42 KB JSON: One object with a publicdata header (publisher, licence, attribution, version, source hash), a fields list and a records array of 370 objects with typed values. Blank cells are null.
  • data.ndjson41 KB NDJSON: The first line is the provenance header, then one JSON object per line. For streaming and for tools that read line by line.
  • data.parquet7.3 KB Parquet: Columnar and typed. The smallest download and the fastest to query. Reads directly in DuckDB, pandas, Polars, Arrow and Spark. The provenance header is in the file metadata.
  • data.sqlite70 KB SQLite: One database with a records table, a fields table and a publicdata metadata table. Open it with any SQLite client.
  • data.xlsx16 KB Excel: One workbook with a records sheet of 370 typed rows, a fields sheet and a publicdata sheet with the provenance. Dates are real Excel dates. Opens in Excel, Numbers, LibreOffice and Sheets.
  • manifest.json4.6 KB
  • schema.json963 B
  • schema.sql1.3 KB
  • source.csv20 KB

SHA256SUMS holds the SHA-256 of every file in this version under the name it downloads as. Check what you downloaded with sha256sum -c --ignore-missing SHA256SUMS in the same folder. On a Mac, use shasum -a 256 -c --ignore-missing SHA256SUMS. Each list is signed by the deploy that wrote it: gh attestation verify SHA256SUMS --repo National-Digital/publicdata.au --source-ref refs/heads/main shows it came from this project's main branch.

Smaller files by field: by/table/.

Attribution the licence asks for

Department of Housing, Local Government and Community Development, Northern Territory Government, Urban Public Housing Wait Times, Wait List and Allocations, sourced 5 October 2026, https://data.nt.gov.au/, licensed under CC BY 4.0.

Provenance

Fetched from data.nt.gov.au on 5 October 2026. The portal listed the licence as Creative Commons Attribution at that moment. manifest.json has every detail.