Source
https://www.eeca.govt.nz/assets/EECA-Resources/Public-EV-Charger-Dashboard/EV-metrics-by-region.csv — original source (opens in a new tab; the file is not redistributed)
Source
EECA (Energy Efficiency and Conservation Authority). EV Metrics by NZ Region — region-level rollup. Export likely Q3/Q4 2025 (inferred from systematic BEV + CP deltas vs the more-recent RD_011 ~Jan 2026 snapshot; explicit export-date metadata absent from file).
License: CC BY 4.0 (standard EECA open-data licence; confirm at portal).
Scope
- 15 rows × 12 columns = NZ regions per Stats NZ taxonomy (Tasman + Nelson merged into ‘Nelson-Tasman’; Chatham Islands excluded)
- Columns: Region, Charge Points, Units, Sites, Battery Electric Vehicles, Total Vehicles, Population Estimate, Total KW Charging, BEVs per Charge Point, KW Charging per BEV, BEV Penetration, BEVs per Capita
- Vintage: ~Q3/Q4 2025 (earlier than RD_011)
- Aggregation: charger inventory from EECA EVRoam unit register (earlier than RD_010 snapshot); BEV registrations from MoT/NZTA; population from Stats NZ
- Companion datasets: RD_011 (later snapshot, district rollup), RD_010 (later unit-level register), RD_006 (IEA country aggregate cross-check)
Relevance to NI and thesis
NI (regional context + growth-rate calibration):
- Nelson-Tasman combined-region row (key_claim 7) anchors any NI calc that treats NMT as a single governance unit
- Vintage diff RD_012→RD_011 (key_claim 3) gives the empirical NZ BEV growth rate ~8% per quarter ≈ ~30% annualised — useful as a calibration for NI forward-projection logic
- Regional charger-supply pattern (key_claim 6) — Nelson-Tasman is the 3rd most charger-starved region nationally even at this earlier vintage
Thesis (regional inequality + growth trajectory):
- Top 3 regions = 74.5% of national BEV stock (key_claim 4) — empirical Auckland-Christchurch-Wellington concentration
- Top-of-South-Island corridor pattern (key_claim 8) — NMT middling, Marlborough trailing, West Coast bottom = empirical sub-Canterbury inequality
- Vintage growth pattern (key_claim 3) — supports the “NZ is catching up but unevenly” framing for the thesis EV chapter
Research targets
Research gaps
- RT_148 (low) — Confirm RD_012 export date with EECA portal. The systematic 6-12% BEV deltas vs RD_011 indicate ~3-4 month gap, but explicit labelling on the file would close the assumption. EECA EVRoam portal metadata or direct enquiry.
- RT_146 (medium, captured by RD_011) — Multi-snapshot district/region time series for trajectory analysis still applies here; combining RD_011 + RD_012 gives two snapshots but a proper monitoring series is needed
- RT_147 (low, captured by RD_011) — BEV count source/definition confirmation also applies here
Connections
Links to
Referenced by
Sources (4): RD_009 · RD_010 · URL_006 · URL_007
EDT domains (1): D05: Smart Mobility & Electrified Transport