Whangārei Art Museum

Whangārei Art Museum Visitor & Economic Impact Dashboard

Live view of who is coming through WAM, what they spend, and how confidently we can scale those insights. The Economic Impact tab converts non-Northland spend into museum-attributable dollars (including an IVL view), the Visitor Profile tab tells the story of today’s visitors, and the Response Coverage tab shows daily survey coverage with every raw response for transparency.

Last updated

27 Dec 2025, 10:53 am

Annualised attributable spend

$2,499,199

Includes WAM-attributable trip spend plus the estimated value of visitor accommodation (annualised, using the Combined audience sleeps).

Projected annual non-Northland visitors

12,692

Scaled from coverage-weighted survey share of the projected 30,164 total visits.

Non-Northland share of visits

42.1%

Portion of projected total visits attributed to non-Northland visitors.

Combined annualised sleeps

14,597

Coverage- and influence-weighted nights for combined visitors scaled to an annual target of 12,692 visitors.

Visitor Mix

Share of survey responses split into Northland visitors, domestic non-Northland visitors, and international tourists.

How Visitors Answered the Influence Question

Weighted share of responses to “To what extent did WAM influence your decision to visit Whangārei?”
Why these weights?
Justification for WAM Visitor Influence-Based Attribution Weights
Weights align with NZ best practice (MBIE/OECD/event evaluations) to stay conservative and evidence-based.
Attribution Weighting Scheme
  • It was the main and deciding reason for my visit — 100%
  • It was an important part of why I decided to come — 50%
  • It contributed somewhat to my decision — 25%
  • I was already coming, but chose to visit WAM while here — 0%
  • It had no influence on my decision to visit Whangārei — 0%
Tooltip summary (dashboard)
WAM’s economic attribution weights follow national and international best practice. Main-reason visitors are counted at 100% (MBIE/OECD/NZ studies). “Important” = 50%, “Somewhat” = 25%, and incidental/no-influence = 0%, to avoid overstating impact and to reflect conservative, auditable attribution.
Rationale & parallels
Main & deciding: 100% (e.g., Te Matatini 2023; Ngā Haerenga 2021).
Important: 50% (e.g., Rotorua MTB 2021; WOW 2023).
Somewhat: 25% (defensible midpoint in 10–30% ranges seen in TNZ/OECD guidance).
Already coming / No influence: 0% (standard exclusion to avoid overstating).
Alignment: MBIE Event Evaluation Guidelines, Tourism NZ campaign methodologies, and RTNZ best practice stress proportionate attribution by self-reported influence.

Attributable Sleeps & Accommodation Value

WAM-Attributable Sleeps by Audience

Toggle Combined, International, and Domestic to see how influence- and coverage-weighted nights scale to annual targets. The International view aligns with the IVL requirement; the Combined view uses all non-Northland visitors (domestic + international), and the Domestic view isolates non-Northland domestic visitors.

Note: averages are low because most visitors are day-trippers; sleeps reflect only the weighted share who stay overnight, so the value can sit close to visitor counts when average nights ≈ 0.3.

Avg attributable nights per response

1.2

Average attributable nights per response is 1.15 (nights × influence × coverage ÷ total weighted responses). Low values are expected because most visitors are day-trippers.

Combined annualised sleeps

14,597

Average attributable nights (~1.15) × estimated annual non-Northland visitors (domestic + international) (12,692). Low average nights mean this number can be close to the visitor count even though each visitor is not staying a full night.

Annualised Sleeps by Accommodation Type

Shows how WAM-attributable nights scale up across each accommodation category. Non-commercial stays (friends/family, own home) contribute to sleeps but not to commercial accommodation value.

Accommodation typeEstimated priceAnnualised sleepsTotal $
Airbnb or holiday rental8,495$1,444,086
Staying with friends or family3,932$0
Camping or caravan park778$62,212
Bed & Breakfast or lodge725$65,239
Motel668$100,237
Total14,597$1,671,774

Trip Spend Snapshot

Who We Surveyed This Period

Each tile summarises the non-Northland visitors captured so far and the average trip budget they reported before any weighting or yearly scaling.

Non-Northland visitors captured

181

Raw count of survey responses where the visitor selected a region outside Te Tai Tokerau / Northland.

Avg trip spend per response

$329

Sum of all non-Northland trip budgets (food + attractions + transport + retail midpoints), divided by adults-only per group, then coverage-weighted (visitors ÷ surveys).

Museum-Attributable Impact

Portion Justified by the WAM Influence Question

Each value multiplies the visitor's spend estimate by their influence response (sole reason, moderate, slight, etc.), so you're seeing only the dollars that can be fairly attributed to WAM.

Annual projections use the current Bellwether projection of 30,164 visits as the baseline for estimating how much new non-Northland spend the museum can claim.

Avg claimable per response

$65

For each non-Northland visitor we calculate (trip spend × WAM influence weight) and weight it by that day’s coverage, then divide by the sum of weighted responses.

Annualised attributable trip spend (excl. accommodation)

$827,425

Uses the coverage-weighted average museum-attributable spend per visitor and scales it to roughly 12,692 non-Northland visitors (42.1% of the projected 30,164 total visits).

Trip Spend vs. Museum-Attributable

Raw survey totals only: each bar sums what visitors told us about their trip budgets (including estimated accommodation), with the orange bar showing the portion attributable to WAM after applying the influence response.
Trip spendMuseum-attributable

Claimable Spend Mix by Origin (Top 10)

Shows which categories of museum-attributable spend (food, attractions, transport, retail, accommodation) are being captured from the top 10 origins by total claimable value.