household-hardship-nz · git:20260719.1748a98 · 2026-07-19 · sha256 0928166248ddfb58
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--- name: household-hardship-nz description: "Query New Zealand household material hardship, child and family poverty, income adequacy, housing affordability and rent burden, low-income household counts, and the Gini coefficient of income inequality from the Stats NZ Household Economic Survey \"Household Wellbeing\" release on data.govt.nz. Use for questions about NZ deprivation, cost-of-living stress, who is struggling to afford housing, hardship by region or ethnicity (including Maori households), or income inequality figures with confidence intervals." license: MIT compatibility: "Requires Python 3.10+ and network access for live data" metadata: thecolab.category: "social-policy" thecolab.source_owner: "Stats NZ" thecolab.source_type: "official" thecolab.auth: "none" thecolab.access_mode: "public-download" thecolab.data_class: "public" thecolab.writes: "false" thecolab.browser: "false" thecolab.risk: "low" thecolab.cache_ttl: "24h" thecolab.schema_version: "1" thecolab.skill_type: "public-download" thecolab.pack: "nz-public-data" thecolab.source_url: "https://catalogue.data.govt.nz/api/3/action" thecolab.allowed_domains: "catalogue.data.govt.nz" thecolab.last_verified: "2026-07-19" thecolab.health: "healthy" thecolab.maintainer: "@adam91holt" --- # Household Hardship NZ ## Overview Read-only CLI over the **Stats NZ Household Economic Survey (HES) "Household Wellbeing"** release, distributed on **data.govt.nz** through the public CKAN API. No login, API key, or browser needed. Each dataset ships as a ZIP-of-CSV that the CLI unpacks with the Python standard library only. It answers questions like material hardship counts, income adequacy, housing affordability (housing cost as a share of income), low-income household numbers, and income inequality (Gini) — broken down **by region or by ethnicity** (including Maori households), each with 95% confidence intervals (LCI/UCI) and relative standard error. ## When to Use - "How many households are in material hardship in Auckland?" - "Compare housing affordability stress across ethnicities." - "Which regions have the worst income adequacy?" - "Show the Gini coefficient of income inequality by region." - "How many low-income households spend over 40% of income on housing?" - Any NZ deprivation / cost-of-living / housing-cost-burden / inequality lookup. Not for: live benefit caseloads, the public housing register, or building-level deprivation indexes — those live in other sources. ## Commands All commands are run via `scripts/cli.py` and accept `--json` for machine output. Most accept `--dataset <ckan-id>` to target a different HES release (default is the 2020-2021 wellbeing release). | Command | Purpose | Key flags | |---------|---------|-----------| | `search <query>` | Search data.govt.nz for HES wellbeing/hardship datasets | `--limit` | | `datasets` | List available HES Household Wellbeing releases | | | `hardship` | Material hardship household counts | `--region`, `--ethnicity [name]` | | `income-adequacy` | Income adequate vs not adequate | `--region`, `--ethnicity [name]` | | `affordability` | Households spending over 30/40/50 percent of income on housing | `--region`, `--ethnicity [name]`, `--tenure [name]`, `--threshold`, `--lowincome` | | `low-income` | Low-income household counts (after housing costs) | `--region`, `--ethnicity [name]` | | `gini` | Gini coefficient of income inequality | `--region`, `--ethnicity [name]` | `--ethnicity` and `--tenure` take an optional value: bare `--ethnicity` returns all groups; `--ethnicity European` filters to one. Without `--ethnicity` or `--tenure`, breakdowns are by region (optionally filtered with `--region auckland`). `--threshold` accepts `30`, `40`, or `50`. ## Examples ```bash # Material hardship households in Auckland with confidence intervals python3 scripts/cli.py hardship --region auckland # Material hardship by ethnicity, as JSON python3 scripts/cli.py hardship --ethnicity --json # Low-income households spending over 30% of income on housing, by ethnicity python3 scripts/cli.py affordability --ethnicity --threshold 30 --lowincome --json # Income adequacy across all regions python3 scripts/cli.py income-adequacy # Gini coefficient of income inequality by region python3 scripts/cli.py gini # Find other HES wellbeing releases (e.g. 2018-19, "Warm and Dry") python3 scripts/cli.py search "warm and dry" python3 scripts/cli.py datasets ``` ## Notes - Source: Stats NZ HES Household Wellbeing, via the data.govt.nz CKAN API. The default dataset is `household-economic-survey-2020-2021-household-wellbeing-including-maori-households`. - All counts are survey estimates with sampling error: `lci`/`uci` are the 95% confidence bounds and `rse_percent` the relative standard error. A `flag` of `*` marks estimates Stats NZ flags as having high sampling error. - Region and ethnicity names are matched loosely (case/punctuation-insensitive), so `auckland`, `hawkes bay`, and `Maori` all work. - Endpoint detail, table names, and column meanings are in [references/api-notes.md](references/api-notes.md). - Run `python3 scripts/smoke_test.py` to verify the live data path.