Doc #8 — National Asset and Skills Census

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RECOMMENDED ACTIONS (BY URGENCY)

First 48 hours:

1. Activate Stats NZ core team for census coordination
2. Government contacts fuel companies, pharmaceutical distributors, food distributors for immediate stock data

First 2 weeks:

3. Contact major industrial/agricultural distributors for stock inventories
4. Request grid asset data from Transpower and distribution companies
5. Pull existing professional registration data

First month:

6. Launch institutional capability survey (workshops, factories, processing facilities)
7. Design and pilot household/individual skills survey

First 3 months:

8. Broad skills survey rollout
9. Begin heritage skills identification (partner with iwi, community organizations)
10. First comprehensive planning report published

Ongoing:

11. Regular stock-level updates (quarterly minimum for critical consumables)
12. Skills database maintenance
13. Infrastructure condition monitoring

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Economic Justification

Labor investment

A realistic census operation requires the following approximate labor inputs:

• Enumerators and field coordinators: 80–120 person-weeks across the first three months. Round 1 (institutional/commercial inventory) relies heavily on government officials and CDEM staff making direct contact with distributors, utilities, and professional bodies — most of this work uses existing relationships and phone/email rather than field visits. Round 2 (workshop capability, skills survey) adds field verification for priority facilities (estimated 40–60 site visits nationally). Round 3 (household survey) is the most labor-intensive but can be distributed through volunteers and community organizations.

• Data analysts and IT support: 3–5 dedicated analysts for the first year, declining to 1–2 for ongoing maintenance. The census database is not a one-time snapshot — it requires regular updating as consumables are drawn down and as production capacity changes.

• Coordination overhead: Stats NZ core team of 8–12 staff for design, methodology, quality control, and reporting. These are existing employees redirected, not new hires.

Total estimated labor investment: Approximately 15–25 person-years across the first three years (front-loaded in Year 1), declining to 3–5 person-years per year for ongoing maintenance.

At a time when every worker has alternative claims on their time, this is a real cost. The question is whether it is justified.

Blind allocation vs. informed allocation

Without census data, resource allocation defaults to estimation — often rough estimation based on population share, historical consumption figures, or administrative geography. The cost of blind allocation compounds across every scarcity decision made during recovery.

Consider three categories where data quality directly affects outcomes:

Fuel allocation. If planners overestimate total diesel stocks by 20% (plausible without verified inventory), rationing begins too late and runs out ahead of schedule — forcing emergency cuts that damage agricultural and transport operations. If they underestimate by 20%, rationing is unnecessarily severe in the critical early period, reducing economic activity and public compliance. The census collapses this uncertainty from ±20–30% to ±3–5% within the first two weeks of engagement with fuel companies. The planning value of this alone — across a fuel stock that may be worth $2–5 billion in 2026 terms¹ — is substantial.

Skills allocation. Without a skills census, workforce reallocation (Doc #145) operates on assumptions about where engineers, machinists, and medical workers are located. Errors mean critical facilities go without trained operators while people with scarce skills are assigned to lower-priority tasks. A modest improvement in matching — finding even 10% more of NZ’s practicing machinists and allocating them to priority machine shops — could meaningfully increase manufacturing output during the period when domestic production must substitute for imports.

Pharmaceutical rationing. Doc #116 (pharmaceutical management) requires accurate stock data at the wholesale level to determine rationing cutoffs by drug category. Without this, planners either ration conservatively (reducing treatment for lower-priority conditions before it is necessary) or optimistically (risking stockout for essential medications). The two major pharmaceutical wholesalers — ProPharma/EBOS and CDC Pharmaceuticals — hold the bulk of national stocks in centralized systems. Obtaining their data takes days, not months, once the request has authority behind it.

Breakeven analysis

The multiplier effect of better information operates across all scarcity decisions simultaneously. A conservative estimate:

• The census costs approximately 15–25 person-years over three years, plus modest IT and logistics costs. At an imputed value of $70,000–90,000 per person-year (2026 NZD, reflecting a mix of senior analysts and field coordinators), total census cost is approximately $1.1–2.3 million equivalent.

• A 1% improvement in resource allocation efficiency across NZ’s import-dependent consumables — fuel, pharmaceuticals, industrial supplies, tires — represents a value of tens of millions of dollars annually in deferred scarcity, reduced waste, and better-matched supply to need.

• At this ratio, the census breaks even on a single major allocation improvement: preventing one significant planning error (such as miscalculating fuel stock and triggering premature transport rationing that disrupts the agricultural season) would repay the entire investment within the first year.

The breakeven timeline is measured in weeks to months, not years. The census is foundational infrastructure for all other planning. Every other document in the Recovery Library produces better outcomes if the census has been conducted.

Opportunity cost

The legitimate concern is not whether the census produces value — it clearly does — but whether the 15–25 person-years it requires are better spent elsewhere in Year 1.

The honest answer: some of those people could be doing other recovery-critical work. The institutional contacts (fuel companies, utilities) require government officials who may also be managing rationing implementation. Stats NZ staff could potentially support other data-intensive tasks.

The resolution is sequencing and design. Round 1 (weeks 1–4, high-urgency categories) requires perhaps 3–5 people working intensively for a month. This is the highest-value portion of the census and the lowest opportunity cost — the information gained (fuel stocks, pharmaceutical stocks, food distribution capacity) is so fundamental to everything else that no plausible alternative use of those staff produces comparable value. Rounds 2 and 3 can be phased around staffing availability, drawing more on volunteers and community organizations.

The census is not in competition with recovery planning. It is a prerequisite for recovery planning being done well.

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1. WHY THIS MATTERS

1.1 Planning without data

Consider the tire management problem (Doc #33). That document estimates NZ’s total tire stock at 22–25 million based on fleet registration data and import volumes. The actual number could be 18 million or 28 million. If the government builds a rationing plan around “25 million tires” and the real number is 18 million, the plan fails years earlier than expected. If the real number is 28 million, the plan is unnecessarily restrictive.

This problem repeats across every supply category. Fuel stocks, pharmaceutical inventories, industrial consumables, workshop capabilities, specialist skills — every planning document in this library contains estimates that the census is designed to replace with data.

1.2 What existing data covers

NZ already has extensive administrative data that provides a starting point:

• Vehicle registration: Waka Kotahi (NZTA) maintains a register of all motor vehicles including type, age, and location.² This gives a reasonable estimate of tires on vehicles, but not warehouse stocks or condition.
• Business registries: The Companies Office and NZBN registry provide a list of registered businesses by industry.³ This identifies workshops, factories, and distributors but not their capabilities or stock levels.
• Professional registers: Medical Council, Engineering NZ, Electricians Registration Board, and other bodies maintain registers of licensed professionals.⁴ This covers regulated professions but misses unregistered skills (hobby machinists, heritage craftspeople, amateur radio operators).
• MBIE energy data: National fuel supply and consumption data.⁵ Aggregate, not facility-level.
• Health sector data: Pharmac and DHBs track pharmaceutical consumption. Hospital equipment registries exist but may not be centralized.⁶
• Agricultural data: Stats NZ agricultural census, DairyNZ and Beef+Lamb NZ farm surveys.⁷ Good baseline but may not reflect real-time stock levels.
• Transpower and distribution companies: Grid asset registers including transformer locations, ages, and specifications.⁸

What existing data does NOT cover: Actual stock levels in warehouses (commercially sensitive, not publicly tracked), physical condition of equipment, unregistered skills, private stocks of critical goods, the practical capability of individual workshops (having a lathe registered to a business is different from having a working lathe with a competent operator).

1.3 What the census adds

The census fills the gaps between existing administrative data and what recovery planning needs. It operates at two levels:

Level 1 — Institutional/commercial inventory: What do businesses, government agencies, hospitals, schools, and major facilities actually have? This covers most of the high-value information — warehouse stocks, industrial equipment, institutional capabilities. It can be conducted through direct engagement with a manageable number of organizations.

Level 2 — Household/individual survey: What skills, equipment, and resources exist in the general population? This is broader, less precise, and lower priority — but captures the amateur radio operators, retired engineers, hobby blacksmiths, and private workshops that Level 1 misses.

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2. PRIORITY AND SEQUENCING

2.1 Urgency calibration

The census does not all need to happen at the same speed. Priorities should match the urgency of the decisions the data supports:

First week (supports immediate rationing decisions):

• Total fuel stocks (commercial and government) — requires contact with fuel companies and MBIE
• Pharmaceutical stocks (wholesale level) — requires contact with ProPharma and CDC Pharmaceuticals
• Food stocks in commercial distribution (supermarket distribution centers, cold storage)

First month (supports Phase 1 planning):

• Industrial consumable stocks at major distributors
• Printing equipment and supply inventory
• Grid asset condition (Transpower and distribution companies likely already have this — the task is collating it)
• Meat processing and food preservation capacity
• Fertilizer and seed stocks

First 3–6 months (supports Phase 2 planning):

• Workshop and manufacturing capability inventory
• Skills survey (professional registers + broader outreach)
• Vehicle fleet detailed assessment (not just registration — actual condition, tire condition)
• Medical equipment inventory
• Communications equipment (including amateur radio)
• Retreading and specialist repair facilities

Ongoing (supports long-term planning):

• Household skills survey
• Detailed condition assessment of infrastructure
• Regular stock-level updates as consumables are drawn down

2.2 The 80/20 principle

The first 80% of useful information comes from a relatively small number of data sources — major distributors, utilities, professional registers, and government databases. The last 20% (household stocks, unregistered skills, small private workshops) requires much more effort per unit of information. Start with the high-yield sources and expand as capacity allows.

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3. PHYSICAL ASSET INVENTORY

3.1 Fuel

Data needed: Total volume by type (diesel, petrol, aviation fuel, marine bunker, LPG) at each storage location. Current consumption rates under rationing. Projected drawdown timeline.

Sources: MBIE (aggregate data), fuel companies (Z Energy, BP, Mobil — facility-level data), port authorities (marine bunkers), Airways NZ (aviation fuel), NZ Defence Force (military stocks).

Method: Direct contact with fuel companies under emergency authority. These companies have real-time inventory systems. The data exists — the task is getting access to it and aggregating it.

3.2 Pharmaceuticals and medical supplies

Data needed: Stock levels by drug category at wholesale, hospital, and retail level. Cold chain capacity and backup power. Medical equipment inventory (especially autoclaves, imaging, surgical equipment). Veterinary pharmaceutical stocks.

Sources: ProPharma/EBOS Group and CDC Pharmaceuticals (wholesale), DHBs/Te Whatu Ora (hospital), Pharmacy Guild (retail aggregation may be possible), MedSafe (regulatory data), veterinary distributors.

Method: Wholesale level can be inventoried quickly through the two major distributors. Hospital and retail level is more dispersed — work through existing health system reporting structures.

3.3 Industrial and agricultural consumables

Data needed: Stock levels at major distributors for: tires, batteries, bearings, belts, filters, welding consumables, fasteners, lubricants, abrasives, refrigerant, agricultural chemicals, fertilizer, seeds, fencing materials, chainsaw consumables, sheet glass, solar panels, pipe fittings, electrical components.

Sources: Major distributors (Farmlands, PGG Wrightson, NZ Safety Blackwoods, Wurth, Repco, Supercheap Auto, electrical wholesalers, plumbing wholesalers, steel distributors).

Method: Contact major distributors directly. Most have computerized inventory systems. The challenge is not technical — it is establishing communication and authority quickly enough.

3.4 Manufacturing and workshop capability

Data needed: Location, equipment, capacity, and operator availability for: machine shops, foundries, welding workshops, blacksmiths, electrical workshops, motor rewinding, boatbuilding, printing operations, sawmills, food processing facilities, textile/clothing operations, retreading facilities, glass works, chemical production, cement plants.

Sources: Business registries (starting point), industry associations (Engineering NZ, Motor Trade Association, Master Builders, Printing Industries NZ), regional economic development agencies, polytechnics/ITOs (training records indicate who has been trained in what).

Method: This is the most labor-intensive part of the census. Business registries tell you a company exists; they don’t tell you what equipment is on the floor or whether it works. A survey — potentially phone-based initially, with follow-up physical inspection for key facilities — is needed. Prioritize: machine shops (machinist capability is critical), electrical workshops, food processing, and boatbuilding.

3.5 Energy infrastructure

Data needed: Condition, age, and spare parts availability for: hydro stations, geothermal plants, wind turbines, solar installations, transformers (HV and distribution), switchgear, generators, domestic solar/battery systems.

Sources: Transpower (HV grid), distribution companies (Orion, Vector, PowerCo, etc.), generation companies (Meridian, Genesis, Mercury, Contact), Electricity Authority.

Method: These organizations already maintain asset registers. The task is collating them into a single national picture and assessing which assets are most vulnerable to maintenance failure without imported parts.

3.6 Transport and maritime

Data needed: Vehicle fleet by type, age, fuel type, condition. Tire condition on essential vehicles. EV fleet (potential component donors). Port infrastructure condition. Vessel inventory (commercial, fishing, recreational — including sail capability). Boatbuilding facilities. Aviation assets.

Sources: NZTA (vehicle registration), port companies, Maritime NZ (vessel registration), CAA (aviation), fishing industry bodies.

3.7 Communications

Data needed: Telecommunications infrastructure (cell towers, fiber, copper, exchange equipment — condition and backup power). Amateur radio operators and equipment. Satellite communication equipment. Broadcast infrastructure.

Sources: Spark, Vodafone, 2degrees (telecom), NZART (amateur radio association),⁹ RNZ and TVNZ (broadcast), Regional Civil Defence.

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4. SKILLS INVENTORY

4.1 Why skills matter as much as equipment

A lathe without a machinist is scrap metal. A forge without a blacksmith is a fire pit. NZ’s recovery depends not just on what equipment exists but on who can operate it, maintain it, and train others.

Some critical skills are common (electricians, mechanics, nurses). Others are rare and concentrated in aging populations (blacksmiths, traditional boatbuilders, wheelwrights, manual typesetters, radio technicians who can build from components, sextant navigators). The skills census identifies both — and flags the rare skills where there may be an estimated 10–20 year window before knowledge holders are no longer available, depending on the age distribution of remaining practitioners (see Doc #159, Heritage Skills Preservation).

4.2 Registered professions

NZ’s professional registration system provides an immediate starting point for regulated skills:

Register	Skills covered	Approximate numbers
Medical Council	Doctors	~18,00010
Nursing Council	Nurses	~58,000
Pharmacy Council	Pharmacists	~4,000
Dental Council	Dentists, hygienists	~3,500
Electricians Registration Board	Electricians	~30,000+
Plumbers, Gasfitters, Drainlayers Board	Plumbers etc.	~12,000
Engineering NZ	Engineers (voluntary)	~16,000
Motor Trade Association	Mechanics (partial)	Varies

These numbers are approximate and should be verified against current registration data.¹¹ Registration tells you someone is qualified — it does not tell you their location, availability, or current practice status. Some registered professionals are retired, overseas, or working in other fields.

4.3 Unregistered but critical skills

Many recovery-critical skills are not covered by professional registration:

• Machinists/toolmakers: NZ has no mandatory registration for machinists. The number of competent lathe and mill operators is unknown. Polytechnic training records and industry contacts are the best starting point.
• Welders: Some certification exists (AS/NZS standards) but no comprehensive register. Many competent welders are self-taught or farm-trained.
• Blacksmiths and farriers: A small community. The NZ Farriers Association has some records.¹² Traditional blacksmiths are rarer and often unaffiliated.
• Boatbuilders: Some registered, many not. The NZ Marine Industry Association covers commercial operators.¹³
• Radio technicians/amateur operators: NZART (NZ Association of Radio Transmitters) maintains a member list.¹⁴ Not all operators are members.
• Heritage skills: Manual forestry (crosscut saw), draft animal handling, traditional weaving (harakeke muka processing), celestial navigation, hand spinning/weaving, traditional food preservation. These are concentrated in older populations and Māori communities. Identifying holders requires community outreach, not registry searches.
• IT and electronics repair: No register. Large workforce but skills vary widely. Identifying people who can repair hardware (not just write software) requires specific questions.

4.4 Survey design

The skills survey should be:

• Simple: A single page that can be completed in 5 minutes. Detailed follow-up for people who report rare or critical skills.
• Distributed through multiple channels: Employer records, professional associations, community organizations, marae, schools (parents), churches, community meetings, radio announcements, online (while internet functions).
• Focused on practical capability, not credentials: “Can you operate a metalworking lathe?” is more useful than “Do you have a trade certificate?” Someone who learned machining from their grandfather and has been doing it for 30 years without formal qualification is exactly who recovery planning needs to find.

Core survey questions:

1. Name, age, location, contact method
2. Current/most recent occupation
3. Trade qualifications (formal and informal)
4. Equipment you own or can operate (list of categories with checkboxes)
5. Other practical skills (open response — this catches the unexpected: “I ran a tannery in South Africa for 20 years” or “I can make cheese from scratch”)
6. Medical conditions requiring ongoing treatment (feeds into pharmaceutical planning — Doc #116)
7. Languages spoken (relevant for international trade contacts)
8. Willingness to relocate for essential work

4.5 Māori knowledge holders

Mātauranga Māori encompasses practical skills directly relevant to recovery: harakeke processing, traditional navigation, food preservation, fishing, resource management, building. Identifying knowledge holders should be done in partnership with iwi and hapū — not through a government survey form dropped on marae.

The appropriate approach is for the government to resource iwi to conduct their own skills assessments, using their own structures, and share results at whatever level of detail iwi are comfortable with. This is both more effective (iwi know their communities) and more respectful of rangatiratanga.

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5. ORGANIZATION AND EXECUTION

5.1 Census authority

The census should be led by Stats NZ — the agency with the most experience conducting national surveys — supplemented by MBIE (for business and energy data), Ministry of Health (for health data), and CDEM regional coordinators (for local coordination).¹⁵

Stats NZ staff have the methodological expertise to design surveys, manage data quality, and produce usable outputs. They also have an existing relationship with the business community and experience with mandatory information requests (the Statistics Act provides legal authority for compulsory information collection).¹⁶

5.2 Data management

The census database is a strategic asset. It must be:

• Maintained on reliable systems — NZ-based servers, with printed backups of critical data
• Updated regularly — initial inventory is a snapshot; consumption and production change the picture continuously
• Accessible to planning authorities — the National Resource Authority (Doc #1) and sector planning teams need timely access
• Protected appropriately — individual-level data (health conditions, personal assets) requires privacy protection. Aggregate planning data should be shared as widely as useful.

5.3 Staffing

The census requires people to conduct it — at a time when those people are also dealing with the crisis personally. Realistic staffing:

• Stats NZ core team (existing staff) for design, methodology, and data management
• Government officials and CDEM staff for institutional contacts (fuel companies, utilities, distributors)
• Community volunteers for household-level survey distribution and collection
• Existing industry association staff for trade-specific outreach

Do not assume large numbers of dedicated census staff. Design the census to work with small teams leveraging existing systems and relationships.

5.4 Iteration

The first round of the census will be incomplete and imprecise. This is acceptable. A rough inventory completed in weeks is far more valuable than a precise inventory completed in a year. Plan for iterative improvement:

• Round 1 (weeks 1–4): Institutional and commercial inventory using existing data and direct contacts. Focus on the highest-urgency categories (fuel, pharmaceuticals, food).
• Round 2 (months 2–6): Broader physical asset inventory. Skills survey launch. Follow-up on Round 1 gaps.
• Round 3 (months 6–12): Household/individual survey. Detailed condition assessments. Heritage skills identification.
• Ongoing: Regular stock-level updates, updated skills data, infrastructure condition monitoring.

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6. OUTPUTS

6.1 Planning documents fed by the census

The census data feeds directly into decision-making across the Recovery Library:

Data category	Documents it informs
Fuel stocks	Doc #1 (rationing), #53 (allocation), #56 (wood gas transition timeline)
Pharmaceutical stocks	Doc #1, #116 (rationing), #119 (local production priorities)
Tire stocks	Doc #33 (management timeline, retreading capacity)
Workshop capability	Doc #91 (machine shops), #92 (blacksmithing), #95 (motor rewinding)
Grid assets	Doc #65–73 (maintenance prioritization)
Skills distribution	Doc #145 (workforce reallocation), #157 (trade training priorities)
Vessel inventory	Doc #136–143 (maritime planning)
Agricultural assets	Doc #74–87 (farming adaptation), #77 (seed stocks)

6.2 Public reporting

Aggregate census results should be published — this supports the transparency principle in Doc #1 and #2. People who can see the actual data (how much fuel remains, what local manufacturing capability exists, how many trained welders NZ has) are better positioned to understand why rationing decisions are made the way they are, and are more likely to cooperate.

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7. CRITICAL UNCERTAINTIES

Uncertainty	Impact	Mitigation
Business cooperation with census	Incomplete data if businesses refuse or are unable to respond	Legal authority (Statistics Act, CDEM Act). Clear communication about purpose.
Data quality	Bad data is worse than no data if used for planning	Design for verification. Flag confidence levels on data items.
Staffing availability	Census competes for personnel with other emergency tasks	Design for minimal staffing. Leverage existing systems.
Privacy concerns	People may resist disclosing health data, personal assets	Separate sensitive data streams. Clear privacy protections.
Speed vs. accuracy	Pressure to produce results fast may sacrifice quality	Accept imprecision in early rounds. Iterate.

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Cross-References

The census is upstream of most other documents in the Recovery Library. It does not implement anything itself — it provides the data that allows other documents to move from estimates to plans. Key dependencies:

• Doc #001 — National Resource Authority and Stockpile Management — The census supplies the stockpile data on which the NRA bases rationing decisions. Fuel, pharmaceutical, and food stock figures from the census directly determine rationing thresholds and timelines. The NRA cannot operate with precision without census outputs; the census cannot be acted on without the NRA’s authority to compel reporting and allocate resources.

• Doc #003 — Food Rationing — Caloric planning, distribution logistics, and reserve calculations all require accurate data on food stocks at the wholesale and distribution level. The census provides the baseline; Doc #003 uses it to set per-capita targets and identify regional imbalances between food supply and population concentration.

• Doc #033 — Tire Management — Doc #033’s timeline for rationing, retreading capacity development, and fleet reduction is explicitly built on estimated tire stocks that the census is designed to verify. The difference between 18 million and 28 million tires on hand changes the rationing plan by years. Skills census data on retreading operators and equipment feeds directly into Doc #033’s production planning.

• Doc #145 — Workforce Reallocation — The skills component of the census is the primary data source for Doc #145. Workforce reallocation requires knowing who is trained in what, where they are located, and whether they are actively practicing. Without census data, Doc #145 operates on professional register counts that miss location distribution, actual practice status, and the large population of capable but unregistered practitioners.

• Doc #148 — Economic Transition — Long-term economic planning requires understanding NZ’s actual productive capacity: what can be manufactured domestically, what skills exist, and what capital equipment is available. The census provides the asset and skills baseline on which economic transition scenarios are built. Without it, capacity estimates are extrapolated from pre-disruption import statistics rather than grounded in what exists on the ground.

• Doc #156 — Skills Census (if separate from this document) — Doc #156 elaborates the skills survey methodology in greater depth. This document (Doc #008) treats the skills census as one component of a broader national asset survey; Doc #156 should be read as the detailed implementation guide for the skills-specific components described in Section 4.

• Doc #116 — Pharmaceutical Management — Stock data from the census determines rationing thresholds for all pharmaceutical categories. Cold chain capacity data informs which drugs can be stored where. The census also collects individual-level medical condition data (survey question 6 in Section 4.4) that feeds into demand-side pharmaceutical planning.

• Doc #160 — Heritage Skills Preservation and Transmission — The census flags rare and aging skill holders; Doc #159 describes what to do with that information (documentation, apprenticeship, knowledge transfer before holders are lost). The census is the identification mechanism; Doc #159 is the response.

• Doc #065–073 — Electrical Grid Maintenance — The census collects transformer age, condition, and spare parts availability across the HV and distribution grids. This data directly informs maintenance prioritization decisions in the grid maintenance documents: which transformers are most vulnerable, which can be deferred, and what spares are available nationally.

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1. Estimate based on MBIE petroleum stock data. NZ typically holds approximately 3–4 weeks of refined fuel supply (approximately 1.5–2 billion litres across all fuel types). At wholesale values of $1.50–2.50/litre (2026 NZD, varying by fuel type), total stock value is in the range of $2–5 billion. The actual figure depends on stock levels at the time of disruption. See MBIE Weekly Oil Bulletin: https://www.mbie.govt.nz/building-and-energy/energy-and-n...↩︎

2. Waka Kotahi (NZ Transport Agency) Motor Vehicle Register. https://www.nzta.govt.nz/vehicles/how-the-motor-vehicle-r... — Contains registration details for all NZ vehicles including type, make, model, year, and registered address.↩︎

3. NZ Companies Office and NZBN (NZ Business Number) registry. https://www.companiesoffice.govt.nz/ — Provides business registration data by industry classification (ANZSIC codes). Does not indicate capability, equipment, or stock levels.↩︎

4. Professional registration bodies are listed at various government sites. Medical Council: https://www.mcnz.org.nz/; Nursing Council: https://www.nursingcouncil.org.nz/; Pharmacy Council: https://www.pharmacycouncil.org.nz/; Dental Council: https://www.dcnz.org.nz/; Electricians Registration Board: https://www.ewrb.govt.nz/; Plumbers, Gasfitters and Drainlayers Board: https://www.pgdb.co.nz/; Engineering NZ: https://www.engineeringnz.org/. Numbers cited are approximate and based on publicly available registration statistics as of 2024–2025 annual reports. Exact current figures should be verified against each body’s most recent workforce data publication.↩︎

5. MBIE Energy in New Zealand. https://www.mbie.govt.nz/building-and-energy/energy-and-n... — Aggregate national energy data. Not facility-level.↩︎

6. Pharmac manages NZ’s pharmaceutical purchasing and has detailed consumption data. https://www.pharmac.govt.nz/ — Hospital equipment registries are maintained by individual DHBs/Te Whatu Ora entities and may not be centralized nationally.↩︎

7. Stats NZ Agricultural Production Statistics. https://www.stats.govt.nz/topics/agriculture — Conducted periodically. DairyNZ and Beef+Lamb NZ conduct complementary farm surveys.↩︎

8. Transpower maintains a publicly accessible asset management plan. https://www.transpower.co.nz/ — Distribution company asset data is held individually by each company.↩︎

9. NZ Association of Radio Transmitters (NZART). https://www.nzart.org.nz/ — The primary amateur radio organization in NZ. Not all amateur operators are members; the RSM (Radio Spectrum Management) licensing database is more comprehensive for licensed operators.↩︎

10. Medical Council of New Zealand workforce statistics. https://www.mcnz.org.nz/about-us/publications/workforce-s... — Published annually. The ~18,000 figure includes all registered doctors; the number actively practicing in NZ is somewhat lower.↩︎

11. Professional registration bodies are listed at various government sites. Medical Council: https://www.mcnz.org.nz/; Nursing Council: https://www.nursingcouncil.org.nz/; Pharmacy Council: https://www.pharmacycouncil.org.nz/; Dental Council: https://www.dcnz.org.nz/; Electricians Registration Board: https://www.ewrb.govt.nz/; Plumbers, Gasfitters and Drainlayers Board: https://www.pgdb.co.nz/; Engineering NZ: https://www.engineeringnz.org/. Numbers cited are approximate and based on publicly available registration statistics as of 2024–2025 annual reports. Exact current figures should be verified against each body’s most recent workforce data publication.↩︎

12. NZ Farriers Association. Information on registered farriers may be available through the association or through MBIE’s occupational licensing records.↩︎

13. NZ Marine Industry Association (NZ Marine). https://www.nzmarine.com/ — Covers commercial marine operators. Many boatbuilders, particularly small-scale and recreational, are not members.↩︎

14. NZ Association of Radio Transmitters (NZART). https://www.nzart.org.nz/ — The primary amateur radio organization in NZ. Not all amateur operators are members; the RSM (Radio Spectrum Management) licensing database is more comprehensive for licensed operators.↩︎

15. Stats NZ. https://www.stats.govt.nz/ — NZ’s national statistics agency. Has conducted national censuses since 1851 and has the organizational infrastructure for large-scale data collection.↩︎

16. Statistics Act 1975 provides legal authority for compulsory information collection for statistical purposes. https://www.legislation.govt.nz/act/public/1975/0001/late... — The interface between the Statistics Act and CDEM Act powers for emergency data collection would need to be clarified legally.↩︎