Doc #156 — Skills Census

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RECOMMENDED ACTIONS (BY URGENCY)

First 48 hours

1. Pull all professional registration databases. Medical Council, Nursing Council, Electricians Registration Board, Plumbers/Gasfitters/Drainlayers Board, Engineering NZ, Pharmacy Council, Dental Council, Veterinary Council. Cross-reference with address data to produce geographic distribution maps.³
2. Contact polytechnic network (Te Pūkenga) for instructor and graduate records. Priority: machining, welding, electrical, and mechanical engineering graduates from the past 20 years.⁴
3. Request Transpower and distribution company engineering staff lists. These are the people who maintain the grid. Their identities and locations are immediately critical.⁵

First two weeks

4. Contact industry associations for membership and capability data. Motor Trade Association, NZ Marine Industry Association, NZ Farriers Association, Engineering NZ (practice-level data), Printing Industries NZ, NZ Institute of Forestry, NZ Association of Radio Transmitters (NZART).⁶
5. Issue essential skills classification directive. Identify Tier 1 skills holders (Section 4.2) and flag them in the workforce reallocation system (Doc #145) as “do not redeploy to generic labour.”
6. Begin heritage skills identification outreach through iwi, marae, Grey Power, Federated Farmers, and community networks. This is a request to communities to identify their elders with practical knowledge. (Detailed methodology in Section 5.)

First month

7. Design and pilot the population skills survey. A single-page form focused on practical capability, not credentials (Section 5.3). Pilot in 2–3 regions, revise, then distribute nationally.
8. Compile initial Skills Atlas — a regional map of identified skills concentrations and gaps, using professional registration data, association records, and early outreach results. Distribute to Regional Workforce Coordination Offices (Doc #160).
9. Launch employer-based skills audit. Every employer with more than 10 staff completes a standardised return listing employee skills relevant to recovery categories (Section 4.1). Legal authority under the Statistics Act 1975 and CDEM Act powers.⁷
10. Establish dedicated heritage skills identification teams in each region. (Doc #160 provides the operational framework; this document provides the census mechanism for finding the people.)

First three months

11. Population skills survey rollout. Distributed through: remaining postal service, community organisations, marae, schools (for parents), churches, workplaces, radio announcements, and internet (while functional).
12. Publish first comprehensive Skills Gap Report. For each priority skill category: estimated current practitioners, geographic distribution, age profile, gap relative to recovery need, training pipeline status (Doc #157).
13. Heritage skills holders in active apprenticeship or documentation programs. The census identifies them; Doc #160 captures their knowledge. The handoff must be immediate — identification without action wastes the most time-critical information the census produces.

Ongoing

14. Quarterly skills database updates. Track attrition (death, incapacity, migration) and accession (training graduates, self-taught development).
15. Skills Gap Report updated annually and fed into training planning (Doc #157), workforce allocation (Doc #145), and recovery strategy.
16. Integration with asset census (Doc #8). Skills data paired with equipment location data enables matching: a lathe without a machinist is identified as a training placement opportunity; a machinist without a lathe is identified as a relocation candidate.

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ECONOMIC JUSTIFICATION

The cost of the skills census

The skills census is not a large standalone project. Most of the work piggybacks on the broader national census (Doc #8) and existing data systems. The incremental cost of the skills component, broken down by role type:

Role	Function	Person-years (Year 1)	Person-years (Ongoing)
Enumerators	Field data collection — population survey distribution, heritage skills outreach, employer returns	15–25	5–10 per year
Data analysts	Processing returns, geographic mapping, gap analysis, Skills Atlas production	5–10	3–5 per year
IT support	Database management, data entry, system maintenance, registry integration	3–5	2–3 per year
Coordinators	Regional coordination (integrated with Doc #160 offices), outreach scheduling, program management	5–10	3–5 per year
Heritage specialists	Specialist field teams for iwi, elderly, and community heritage outreach	5–15	2–8 per year
Total		~33–65	~15–31 per year

This is a modest investment by recovery standards — smaller than a single infrastructure maintenance program.

Targeted allocation vs. blind allocation

A skills census transforms workforce reallocation (Doc #145) from a guessing exercise into a matching exercise. Without census data, regional coordinators assign workers by availability and approximate category — a process that systematically wastes rare skills. With census data, every placement decision is informed: the retiring transformer engineer in Napier is matched to Christchurch’s grid maintenance gap within days of the information becoming available, rather than sitting in a labour pool unidentified.

The efficiency gain is not marginal. Misallocating a single master-level practitioner — a person whose skills cannot be quickly replicated — can cost months of recovery time in their specialty area. At the scale of NZ’s skills inventory, even a 5–10% improvement in matching accuracy for Tier 1 skills holders translates to substantial recovery acceleration across multiple domains simultaneously.

The cost of not conducting a skills census

The costs of operating without skills data are diffuse but large:

Misallocation of rare skills holders. Without a census, workforce reallocation (Doc #145) operates blind. A retired transformer specialist is placed in a warehouse when they could be extending grid life by years (Doc #145). A 78-year-old blacksmith — one of perhaps 20–40 in NZ⁸ — is classified as “retired, non-workforce” and never contacted, when they could be training 10 apprentices (Doc #145, #160).

Training misdirection. Without gap data, accelerated training (Doc #157) must guess at priorities. The census converts training planning from guesswork to evidence.

Geographic mismatches undiscovered. NZ might have enough electricians nationally but have them concentrated in Auckland while Southland’s grid maintenance is critically understaffed.

Heritage skills lost for decades. Every heritage skills holder who dies before being identified represents knowledge that must be re-derived through years of trial-and-error. (See Doc #160.)

Breakeven

The census pays for itself if it prevents even a few significant misallocations — a single transformer failure prevented by correctly placing a maintenance specialist, or a single heritage skill preserved that would otherwise take decades to re-derive, plausibly justifies the entire program’s cost. Precise breakeven calculation is not meaningful for an information-gathering exercise; the relevant comparison is between planning with data and planning without it.

Opportunity cost

The 33–65 person-years required in Year 1 represent workers diverted from other recovery tasks. This is a real cost. It is justified on the grounds that skills census data multiplies the effectiveness of every other program it informs: workforce reallocation (Doc #145), accelerated trade training (Doc #157), heritage skills preservation (Doc #160), and regional planning (Doc #160) all operate more efficiently when the skills base is known. One enumerator-year spent building the census database plausibly improves the placement decisions affecting hundreds to thousands of workers over the recovery period. The census is not competing with other recovery programs — it is providing the information infrastructure that makes those programs work.

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1. WHAT THE SKILLS CENSUS NEEDS TO CAPTURE

1.1 The skills taxonomy

The census must categorise skills in terms that match recovery planning needs, not peacetime occupational classifications. NZ’s standard occupational classification (ANZSCO) groups “managers” and “professionals” and “technicians” — categories that tell you almost nothing about whether someone can repair a diesel engine or forge a chisel. The skills census needs its own taxonomy, organised by recovery function.

Priority skill categories: Energy infrastructure — power station operation, transformer maintenance, line work (Doc #68, #69, #70, #71, #72, #73). Metalworking and fabrication — machining, welding, blacksmithing, foundry work, tool-making (Doc #91, #93, #96). Medical and health — all medical, nursing, dental, veterinary, rongoā Māori (Doc #4, #119–128). Agriculture and food — pastoral farming, cropping, food preservation, butchery, traditional food systems (Doc #74, #75, #76, #78). Maritime — celestial navigation, boatbuilding, marine engineering, sail-making (Doc #138, #139, #141, #143). Construction — carpentry, plumbing, concrete, masonry, timber framing (Doc #97, #164, #165). Transport and mechanical — diesel mechanics, engine repair, bicycle repair (Doc #6, #59, #61). Communications — radio operation and construction, electronics repair, broadcast engineering (Doc #128, #131). Chemical and process — laboratory technique, water treatment, pharmaceutical production (Doc #48, #119, #162). Textile and leather — spinning, weaving, tanning, harakeke processing (Doc #100, #101, #104). Heritage and traditional — coopering, wheelwrighting, draft animal handling, hand-tool woodworking, waka building (Doc #160). Education and training — teaching ability in any of the above; the multiplier effect makes trainers the most valuable category of all (Doc #157, #159).

1.2 Skill levels

The census should distinguish four levels: Master/instructor — can perform to high standard and teach others (the most valuable category, as they are multipliers); Competent practitioner — can work independently under normal conditions; Basic/trainee — has some exposure, could reach competence with 3–12 months of focused development; Theoretical/academic — understands principles but limited hands-on experience. A “master” welder who can teach is worth far more than ten “basic” welders who need supervision, because the master can produce competent welders. The census captures self-assessed skill level, verified where possible through registration status or employer confirmation. Self-assessment is a weaker substitute for practical testing or third-party verification: research on self-assessed competence consistently shows that low-skilled individuals overestimate their ability (the Dunning-Kruger effect) while highly skilled individuals often understate it.⁹ For the census, this means self-reported “competent” ratings are unreliable for placement decisions involving safety-critical skills (electrical, medical, structural). Verification follow-up should prioritise Tier 1 skills (Section 4.2) where misassessment has the highest consequences.

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2. DATA SOURCES AND METHODOLOGY

2.1 Tier 1 — Professional registries (available in days)

NZ’s professional registration system covers approximately 150,000–200,000 people across regulated occupations: doctors (~18,000), nurses (~58,000), electricians (~30,000+), plumbers/gasfitters/drainlayers (~12,000), engineers (~16,000 voluntary Engineering NZ members), pharmacists (~4,000), dentists (~3,500), veterinarians (~3,200), and registered teachers (~130,000).¹⁰¹¹ Most registries include practice location and specialty data, enabling immediate geographic mapping.

Limitations: Registration confirms someone met qualification requirements at some point — not current practice, physical capability, or willingness to serve. The Medical Council’s ~18,000 figure includes all registered doctors; the number actively practising in NZ is lower.¹² Treat registration databases as an upper-bound starting point.

2.2 Tier 2 — Employer and industry records (available in weeks)

Employer-based data collection reaches workers in unregistered trades — the machinists, welders, fabricators, mechanics, and other skilled workers who have no mandatory registration:

• Employer skills returns: Under emergency authority (Statistics Act 1975, CDEM Act), require employers with 10+ staff to report employee skills relevant to recovery categories.¹³ Most employers know what their people can do. The challenge is designing a return form that captures useful information without imposing an unreasonable reporting burden during a crisis.
• Industry Training Organisation (ITO) / Workforce Development Council records: Te Pūkenga and the six Workforce Development Councils hold records of apprenticeship completions and industry training by field. These identify people who have been trained in specific trades within the past 20 years, even if they have since moved to other work.¹⁴
• Industry association membership: Motor Trade Association (mechanics), NZ Marine Industry Association (boatbuilders), Printing Industries NZ (printers), NZ Institute of Forestry (foresters), NZART (amateur radio operators), NZ Farriers Association, and dozens of smaller bodies. Membership is voluntary and incomplete, but provides a starting network.¹⁵

2.3 Tier 3 — Population survey and community outreach (available in months)

The broad population survey captures skills held by people outside formal employment channels — retired tradespeople, self-taught practitioners, hobbyists with serious capability, and holders of traditional knowledge:

Design principles: Single page, completable in 5–10 minutes. Focused on practical capability, not credentials — “Can you operate a metalworking lathe?” not “Do you hold an NZQA qualification?” Available in English and te reo Māori. Distributed through postal service, community organisations, marae, schools, churches, workplaces, radio announcements, and internet (while functional). Self-reporting accepted at face value for initial identification; verification for critical skills on follow-up.

Population survey dependency chain: Printing the survey requires paper stock and functioning presses (or photocopiers while toner lasts — Doc #5). Distribution requires either postal service (NZ Post, assuming continued operation) or community distribution networks. Data processing requires either functioning computers and database software or a manual tabulation system with trained data entry staff. Geographic mapping requires either GIS software (while computers function) or manual map plotting. Each of these dependencies has its own degradation timeline; the survey design should assume the lowest-common-denominator distribution and processing method that will still function if digital systems fail.

Core questions: Name/age/location/contact; current or most recent occupation; formal qualifications (if any); practical skills checklist with self-assessed level (basic/competent/can teach); equipment owned or accessible; other practical skills (open response — catches the unexpected); languages spoken; physical limitations; willingness to relocate; willingness to teach.

2.4 Heritage skills identification — a special case

Heritage skills holders will not, in most cases, be captured by professional registries, employer returns, or even population surveys. An 82-year-old retired farmer who can shoe a horse and sharpen a crosscut saw is unlikely to fill in a government survey form. A kuia who holds decades of harakeke weaving knowledge may not consider it a “skill” in the way the survey means.

Heritage skills identification requires direct community outreach — conversations, not forms. Key channels: iwi and hapū networks (identification led by iwi, resourced by government, conducted on iwi terms — Doc #160);¹⁶ Federated Farmers and rural community networks; Grey Power and Age Concern; Men’s Sheds and community workshops; heritage organisations (NZ Blacksmiths Guild, Woodturners NZ, Heritage NZ). Marae-based inquiry is not a survey — it is a conversation led by people the community trusts.

The handoff to Doc #160 is immediate. When the census identifies a heritage skills holder, the capture program must engage them within days or weeks, not months. The two programs must be operationally integrated, not sequential.

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3. REGIONAL SKILLS MAPPING

3.1 Why geography matters

NZ’s skills distribution is not uniform, and recovery needs are not uniform. Auckland has a concentration of IT professionals, financial analysts, and marketing consultants — skills with limited immediate recovery value — but also NZ’s largest concentration of engineering workshops, marine facilities, and medical specialists.¹⁷ The West Coast of the South Island (Greymouth, Hokitika, Westport) has forestry and mining skills — including underground coal mining at Stockton and Spring Creek — but almost no medical specialists and depends on Canterbury DHB for secondary care.¹⁸ Southland has strong agricultural skills but limited manufacturing capability. Christchurch has NZ’s deepest engineering and fabrication workforce outside Auckland.¹⁹

The Skills Atlas produced by the census should map, for each region:

• Available skills by category and level (from the taxonomy in Section 1.1)
• Local recovery needs (determined by the region’s infrastructure, economy, and population)
• Skills surplus (where a region has more capability than it needs locally — these people can be redeployed)
• Skills deficit (where a region lacks capability critical for its own recovery — these gaps must be filled by reallocation or training)

3.2 Regional profiles — illustrative gaps

These profiles are estimates based on NZ’s known economic geography. The census replaces estimates with data.

Auckland (~1.7 million):²⁰ Surplus of professional services, IT, and finance workers. Also NZ’s largest concentration of engineering workshops, marine facilities, and medical specialists. Key census question: how many service-sector workers have latent trade skills — former tradespeople in management, or people with agricultural backgrounds who urbanised? NZ’s DIY culture and large Pacific Island and immigrant communities likely hold significant undocumented practical capability.²¹ If 3–8% of Auckland’s service-sector workforce has latent trade or agricultural skills, that is 30,000–110,000 people.²² The range is wide because no survey of latent practical skills in NZ’s urban workforce has been conducted; the lower bound assumes only those with prior formal trade training, the upper bound includes those with significant self-taught or culturally transmitted capability.

Canterbury (~640,000):²³ NZ’s deepest engineering and fabrication workforce outside Auckland, centred on Christchurch’s Woolston and Sockburn industrial areas. University of Canterbury’s College of Engineering and Ara Institute of Canterbury (formerly CPIT) produce engineering and trade graduates locally. Post-earthquake Christchurch attracted construction workers from across NZ — how many remain, and what is their skill profile? Lyttelton port provides NZ’s South Island maritime skills concentration.

Southland (~100,000):²⁴ Strong agricultural base — NZ’s highest sheep-to-people ratio and significant dairy expansion in recent decades. Tiwai Point aluminium smelter employs approximately 800–1,000 workers with industrial process skills — high-temperature process operation, electrical systems, heavy equipment maintenance (the range reflects fluctuating workforce levels tied to production volumes).²⁵ If aluminium smelting ceases (dependent on imported alumina), these workers are a significant redeployable resource.

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4. SKILLS GAP ANALYSIS

4.1 Recovery skills demand estimates

Estimating how many practitioners NZ needs in each skill category is itself uncertain, but rough demand estimates are necessary to size the gaps. The following estimates are based on recovery planning documents elsewhere in the library and should be treated as order-of-magnitude guidance, not precise targets:

Skill Category	Estimated Pre-Event NZ Practitioners	Estimated Recovery Demand	Approximate Gap
Electricians (all classes)	30,000+26	35,000–50,000	Moderate
Doctors (all specialties)	~18,00027	15,000–20,000	Small (but geographic mismatch)
Nurses	~58,00028	50,000–65,000	Small to moderate
Machinists/toolmakers	Unknown — possibly 3,000–8,00029	5,000–15,000	Potentially large
Welders (all processes)	Unknown — possibly 8,000–15,00030	15,000–30,000	Large
Blacksmiths (traditional)	~20–40 serious practitioners31	200–500 (long-term)	Very large
Marine engineers	~1,500–3,00032	3,000–5,000	Moderate
Boatbuilders (timber)	Unknown — possibly 50–20033	500–1,000 (long-term)	Very large
Agricultural workers	140,000–160,00034	300,000–500,000	Very large
Radio technicians (component-level)	Unknown — possibly 500–2,00035	2,000–5,000	Large
Pharmacists	~4,00036	3,000–5,000	Small
Water treatment operators	Unknown — possibly 500–1,00037	1,000–2,000	Moderate

The largest absolute gap is in agriculture — NZ needs to roughly double or triple its agricultural workforce under recovery conditions (Doc #145, #76). This is primarily a reallocation challenge (Doc #145), because basic agricultural labour can be taught on the job. The most critical gaps per capita are in heritage trades (blacksmithing, timber boatbuilding) and specialist technical roles (component-level radio technicians, marine engineers) — skills that cannot be trained quickly and where the existing base is tiny. The census quantifies these gaps; resolution comes through workforce reallocation (Doc #145), accelerated training (Doc #157), heritage skills preservation (Doc #160), and university reorientation (Doc #162).

4.2 Tier 1 protected skills

Certain skills holders must be identified early and flagged in the workforce reallocation system (Doc #145) as “do not redeploy to generic labour.” These are people whose specific expertise is irreplaceable in the near term: grid maintenance specialists (transformer engineers, protection relay technicians — Doc #145, #69, #71); medical specialists in critical fields (surgeons, anaesthetists, obstetricians); heritage skills holders over age 70 (every remaining year is a transmission window); master tradespeople who can teach (a machinist-trainer is worth more than ten machinists who cannot teach); marine navigators with celestial navigation competence (perhaps a few hundred in NZ — Doc #145); and key industrial process operators at Glenbrook (Doc #145), geothermal plants (Doc #145), and water treatment facilities (Doc #145). These classifications feed directly into essential worker protections under Doc #145.

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5. CAPTURING KNOWLEDGE FROM AGING PRACTITIONERS

5.1 The mortality clock

This section is not about heritage skills preservation methodology — that is Doc #160’s domain. It is about the census urgency for identifying these people before it is too late.

NZ’s population aged 75 and over numbers approximately 300,000–350,000.³⁸ The subset with recovery-relevant heritage skills is unknown but is declining every year through natural mortality. Approximate mortality rates for this age group mean that roughly 8–12% of people aged 75+ will die in any given year.³⁹ If NZ has, conservatively, 2,000–5,000 people over 75 with significant heritage skills (a rough estimate — this is precisely what the census is designed to determine), then 150–600 of them will die each year regardless of external events.

Under post-event conditions — with pharmaceutical supply disruption (Doc #116), reduced healthcare access, nutritional stress, and psychological trauma — mortality rates in the elderly population may increase by 50–100% above baseline.⁴⁰ At those rates, 12–24% of people aged 75+ could die within the first year, meaning that a 12-month delay in heritage skills identification could lose one-fifth or more of the target population permanently. The functional implication is that heritage outreach must begin within the first two weeks (Action 6) and cannot wait for the broader population survey timeline.

5.2 Priority heritage skills for identification

Ranked by recovery value and risk of loss: (1) Traditional Māori knowledge systems — raranga, whatu, rongoā Māori, traditional navigation, waka building, mahinga kai;⁴¹ (2) pre-mechanisation farming — draft animal handling, manual ploughing, hand shearing, scythe mowing, gravity-fed irrigation; (3) traditional metalworking — blacksmithing, farriery, hand-forging;⁴² (4) timber boatbuilding and traditional rigging;⁴³ (5) textile production from raw fiber — hand-spinning, hand-weaving from wool (Doc #36, #104); (6) pre-digital electronics and radio — valve construction, component-level repair;⁴⁴ (7) traditional food preservation — smoking, salting, curing, fermenting (Doc #78).

See Doc #160 for detailed treatment of each category.

5.3 Integration with heritage skills preservation

The census and the heritage skills preservation program (Doc #160) must function as a single operational pipeline: census identifies a holder, capture team contacts them within one week, apprenticeship or documentation begins within one month. The failure mode is a census that compiles a database of heritage skills holders who are never contacted by the capture program. The database must trigger action, not accumulate.

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6. CRITICAL UNCERTAINTIES

Uncertainty	Impact	Mitigation
Unregistered skills base unknown	Census may find far more or fewer practitioners than estimated	Design for surprise. Early high-yield sources narrow uncertainty before full survey
Low population survey response	Crisis conditions compete for attention	Multiple channels. Frame as benefiting the respondent (essential worker status, training access)
Heritage skills holder health	Older practitioners may be incapacitated before census reaches them	Prioritise heritage outreach in first two weeks, not first three months
Geographic coverage gaps	Remote communities slow to reach	Use existing networks (iwi, rural delivery, amateur radio) rather than centralised distribution
Self-reporting data quality	Overstatement (Dunning-Kruger) or understatement (modesty)	Treat as leads, not conclusions. Verify critical skills claims on follow-up
Privacy and trust	Fear of conscription reduces disclosure	Clear communication: census informs voluntary placement first; directed placement is last resort
Integration failure	Data collected but not acted on	Design data flow to action programs before launching census

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7. CROSS-REFERENCES

• Doc #8 (National Asset and Skills Census) — parent document; Doc #8 details the skills component
• Doc #145 (Workforce Reallocation) — primary consumer of skills data for placement decisions
• Doc #157 (Accelerated Trade Training) — skills gaps determine training priorities
• Doc #160 (Heritage Skills Preservation) — operational partner; census identifies, Doc #160 captures
• Doc #158 (School Curriculum) — long-term skills pipeline informed by census gaps
• Doc #162 (University Reorientation) — academic skills inventory informs program decisions
• Doc #144 (Emergency Powers) — legal authority for compulsory information collection
• Doc #150 (Treaty and Māori Governance) — framework for iwi-led knowledge holder identification
• Doc #65–73 (Energy Infrastructure) — grid maintenance skills are Tier 1 census priority
• Doc #88–115 (Metal and Manufacturing) — manufacturing skills gap is among the largest deficits
• Doc #136–143 (Maritime) — maritime skills are scarce and critical

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FOOTNOTES

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1. Stats NZ Household Labour Force Survey. https://www.stats.govt.nz/topics/labour-market — Approximate figures based on quarterly HLFS data using ANZSIC classification.↩︎

2. Professional registration bodies: Medical Council (https://www.mcnz.org.nz/), Nursing Council (https://www.nursingcouncil.org.nz/), EWRB (https://www.ewrb.govt.nz/), PGDB (https://www.pgdb.co.nz/), Engineering NZ (https://www.engineeringnz.org/), Pharmacy Council (https://www.pharmacycouncil.org.nz/), Dental Council (https://www.dcnz.org.nz/), Veterinary Council (https://www.vetcouncil.org.nz/). All figures approximate, based on publicly reported statistics as of 2024–2025.↩︎

3. Professional registration bodies: Medical Council (https://www.mcnz.org.nz/), Nursing Council (https://www.nursingcouncil.org.nz/), EWRB (https://www.ewrb.govt.nz/), PGDB (https://www.pgdb.co.nz/), Engineering NZ (https://www.engineeringnz.org/), Pharmacy Council (https://www.pharmacycouncil.org.nz/), Dental Council (https://www.dcnz.org.nz/), Veterinary Council (https://www.vetcouncil.org.nz/). All figures approximate, based on publicly reported statistics as of 2024–2025.↩︎

4. Te Pūkenga (https://www.tepukenga.ac.nz) and the six Workforce Development Councils hold apprenticeship completion records by trade and region. Coverage incomplete for older graduates and self-taught practitioners.↩︎

5. Transpower asset management plans. https://www.transpower.co.nz — Distribution company staff data held individually by Orion, Vector, PowerCo, etc.↩︎

6. Industry associations: MTA (https://www.mta.org.nz), NZ Marine (https://www.nzmarine.com), NZART (https://www.nzart.org.nz), NZ Institute of Forestry (https://www.nzif.org.nz), NZ Farriers Association. Membership voluntary; coverage varies. RSM licensing database more comprehensive for amateur radio operators.↩︎

7. Statistics Act 1975 (https://www.legislation.govt.nz/act/public/1975/0001/late...) and CDEM Act 2002 (https://www.legislation.govt.nz/act/public/2002/0033/late...) provide combined legal authority for compulsory information collection.↩︎

8. No comprehensive register of blacksmiths exists in NZ. The 20–40 estimate for serious traditional practitioners is based on community knowledge and is uncertain. The NZ Artist Blacksmiths Association and NZ Farriers Association provide partial data.↩︎

9. Kruger, J. & Dunning, D. (1999). “Unskilled and Unaware of It: How Difficulties in Recognizing One’s Own Incompetence Lead to Inflated Self-Assessments.” Journal of Personality and Social Psychology, 77(6), 1121–1134. Effect is well-replicated across domains including technical and practical skills.↩︎

10. Professional registration bodies: Medical Council (https://www.mcnz.org.nz/), Nursing Council (https://www.nursingcouncil.org.nz/), EWRB (https://www.ewrb.govt.nz/), PGDB (https://www.pgdb.co.nz/), Engineering NZ (https://www.engineeringnz.org/), Pharmacy Council (https://www.pharmacycouncil.org.nz/), Dental Council (https://www.dcnz.org.nz/), Veterinary Council (https://www.vetcouncil.org.nz/). All figures approximate, based on publicly reported statistics as of 2024–2025.↩︎

11. Teaching Council of Aotearoa NZ. https://teachingcouncil.nz/ — ~130,000 registered teachers. Many hold prior trade or science qualifications relevant to recovery training.↩︎

12. Medical Council workforce statistics. https://www.mcnz.org.nz/about-us/publications/workforce-s... — The ~18,000 includes all registered doctors; actively practising in NZ is somewhat lower.↩︎

13. Statistics Act 1975 (https://www.legislation.govt.nz/act/public/1975/0001/late...) and CDEM Act 2002 (https://www.legislation.govt.nz/act/public/2002/0033/late...) provide combined legal authority for compulsory information collection.↩︎

14. Te Pūkenga (https://www.tepukenga.ac.nz) and the six Workforce Development Councils hold apprenticeship completion records by trade and region. Coverage incomplete for older graduates and self-taught practitioners.↩︎

15. Industry associations: MTA (https://www.mta.org.nz), NZ Marine (https://www.nzmarine.com), NZART (https://www.nzart.org.nz), NZ Institute of Forestry (https://www.nzif.org.nz), NZ Farriers Association. Membership voluntary; coverage varies. RSM licensing database more comprehensive for amateur radio operators.↩︎

16. Mātauranga Māori identification must be iwi-led, consistent with Te Tiriti o Waitangi and the governance framework in Doc #160 (§4.5–4.7). See Durie, M. (2005), “Ngā Tai Matatū: Tides of Māori Endurance,” Oxford University Press.↩︎

17. Stats NZ Subnational Population Estimates. https://www.stats.govt.nz/topics/population — Auckland ~1.7 million.↩︎

18. West Coast District Health Board (now part of Te Whatu Ora) has historically relied on Canterbury for specialist services. Mining workforce data from NZ Petroleum and Minerals (https://www.nzpam.govt.nz). West Coast population approximately 32,000 (Stats NZ).↩︎

19. Canterbury workforce data from Stats NZ and Canterbury Employers’ Chamber of Commerce. University of Canterbury College of Engineering established 1887.↩︎

20. Stats NZ Subnational Population Estimates. https://www.stats.govt.nz/topics/population — Auckland ~1.7 million.↩︎

21. Stats NZ migration data (https://www.stats.govt.nz/topics/migration). Specific skills data by ethnic community not systematically collected — a gap the census should address.↩︎

22. No survey of latent practical skills in NZ’s urban service-sector workforce has been conducted. The 3–8% range is an estimate: the lower bound reflects the proportion of workers likely to hold prior formal trade qualifications (based on Te Pūkenga completion data and career-change patterns), the upper bound includes self-taught and culturally transmitted skills. The census is designed to replace this estimate with data.↩︎

23. Canterbury workforce data from Stats NZ and Canterbury Employers’ Chamber of Commerce. University of Canterbury College of Engineering established 1887.↩︎

24. Stats NZ Subnational Population Estimates. https://www.stats.govt.nz/topics/population — Southland region approximately 100,000–105,000.↩︎

25. NZAS Tiwai Point (https://www.nzas.co.nz) employs ~1,000 workers. Skills include high-temperature process operation, electrical systems, heavy equipment maintenance. Depends on imported alumina.↩︎

26. Professional registration bodies: Medical Council (https://www.mcnz.org.nz/), Nursing Council (https://www.nursingcouncil.org.nz/), EWRB (https://www.ewrb.govt.nz/), PGDB (https://www.pgdb.co.nz/), Engineering NZ (https://www.engineeringnz.org/), Pharmacy Council (https://www.pharmacycouncil.org.nz/), Dental Council (https://www.dcnz.org.nz/), Veterinary Council (https://www.vetcouncil.org.nz/). All figures approximate, based on publicly reported statistics as of 2024–2025.↩︎

27. Medical Council workforce statistics. https://www.mcnz.org.nz/about-us/publications/workforce-s... — The ~18,000 includes all registered doctors; actively practising in NZ is somewhat lower.↩︎

28. Professional registration bodies: Medical Council (https://www.mcnz.org.nz/), Nursing Council (https://www.nursingcouncil.org.nz/), EWRB (https://www.ewrb.govt.nz/), PGDB (https://www.pgdb.co.nz/), Engineering NZ (https://www.engineeringnz.org/), Pharmacy Council (https://www.pharmacycouncil.org.nz/), Dental Council (https://www.dcnz.org.nz/), Veterinary Council (https://www.vetcouncil.org.nz/). All figures approximate, based on publicly reported statistics as of 2024–2025.↩︎

29. Machinist and welder numbers not tracked by any register. Estimates based on manufacturing employment data, polytechnic completions, and industry association information. Ranges broad because actual numbers genuinely unknown.↩︎

30. Machinist and welder numbers not tracked by any register. Estimates based on manufacturing employment data, polytechnic completions, and industry association information. Ranges broad because actual numbers genuinely unknown.↩︎

31. No comprehensive register of blacksmiths exists in NZ. The 20–40 estimate for serious traditional practitioners is based on community knowledge and is uncertain. The NZ Artist Blacksmiths Association and NZ Farriers Association provide partial data.↩︎

32. Maritime NZ (https://www.maritimenz.govt.nz) and NZ Marine Industry Association. Timber boatbuilding community small and concentrated (Opua, Whangarei, Nelson, Lyttelton). No register of celestial navigation competence exists.↩︎

33. Maritime NZ (https://www.maritimenz.govt.nz) and NZ Marine Industry Association. Timber boatbuilding community small and concentrated (Opua, Whangarei, Nelson, Lyttelton). No register of celestial navigation competence exists.↩︎

34. Stats NZ Household Labour Force Survey. https://www.stats.govt.nz/topics/labour-market — Approximate figures based on quarterly HLFS data using ANZSIC classification.↩︎

35. Industry associations: MTA (https://www.mta.org.nz), NZ Marine (https://www.nzmarine.com), NZART (https://www.nzart.org.nz), NZ Institute of Forestry (https://www.nzif.org.nz), NZ Farriers Association. Membership voluntary; coverage varies. RSM licensing database more comprehensive for amateur radio operators.↩︎

36. Professional registration bodies: Medical Council (https://www.mcnz.org.nz/), Nursing Council (https://www.nursingcouncil.org.nz/), EWRB (https://www.ewrb.govt.nz/), PGDB (https://www.pgdb.co.nz/), Engineering NZ (https://www.engineeringnz.org/), Pharmacy Council (https://www.pharmacycouncil.org.nz/), Dental Council (https://www.dcnz.org.nz/), Veterinary Council (https://www.vetcouncil.org.nz/). All figures approximate, based on publicly reported statistics as of 2024–2025.↩︎

37. Water treatment operator numbers not centrally tracked. Estimate based on the number of registered drinking water supplies in NZ (~800 schemes serving populations over 100, per Taumata Arowai data) and typical staffing levels of 1–2 operators per scheme, plus wastewater treatment plant operators. The actual figure is uncertain and is one of the data gaps the census should address.↩︎

38. Stats NZ Population Estimates. https://www.stats.govt.nz/topics/population — NZ population aged 75+ approximately 300,000–350,000.↩︎

39. Stats NZ mortality data. https://www.stats.govt.nz/topics/births-and-deaths — Annual mortality rate ages 75–84 approximately 4–6%; ages 85+ approximately 12–18%. Under post-event conditions, rates could increase significantly.↩︎

40. The 50–100% mortality increase estimate is based on historical precedents where elderly populations experienced pharmaceutical withdrawal, reduced healthcare access, and nutritional stress simultaneously. Precise rates under NZ post-event conditions are unknown; the range reflects uncertainty about the severity of healthcare disruption. See Doc #116 for pharmaceutical supply timeline analysis.↩︎

41. Mātauranga Māori identification must be iwi-led, consistent with Te Tiriti o Waitangi and the governance framework in Doc #160 (§4.5–4.7). See Durie, M. (2005), “Ngā Tai Matatū: Tides of Māori Endurance,” Oxford University Press.↩︎

42. No comprehensive register of blacksmiths exists in NZ. The 20–40 estimate for serious traditional practitioners is based on community knowledge and is uncertain. The NZ Artist Blacksmiths Association and NZ Farriers Association provide partial data.↩︎

43. Maritime NZ (https://www.maritimenz.govt.nz) and NZ Marine Industry Association. Timber boatbuilding community small and concentrated (Opua, Whangarei, Nelson, Lyttelton). No register of celestial navigation competence exists.↩︎

44. Industry associations: MTA (https://www.mta.org.nz), NZ Marine (https://www.nzmarine.com), NZART (https://www.nzart.org.nz), NZ Institute of Forestry (https://www.nzif.org.nz), NZ Farriers Association. Membership voluntary; coverage varies. RSM licensing database more comprehensive for amateur radio operators.↩︎