Kevin L. Michel · Tourism measurement · October 2026
When Arrivals Recover
but Paid Nights Do Not
Measuring Tourism Recovery under Incomplete Accommodation Coverage in Saint Lucia
More visitors. Fewer paid nights. What can we really conclude about recovery and income reaching residents?
01 / The observed recovery
Three measures.
Three different answers.
Saint Lucia’s 2025 arrival count was above its pre-pandemic level. Published paid nights were lower. Yet real production in accommodation and food services was higher.
Stay-over arrivals
+0.7%423,736 → 426,676Published paid nights
−13.6%2.79m → 2.41m person-nightsReal accommodation & food-services value added
+9.7%EC$1,160.6m → EC$1,273.7m · 2018 pricesRead the boundaries with the numbers. The 2025 results are preliminary, and night levels are rounded. Accommodation and food services include activity serving residents and exclude tourism activity in other industries. This is not total tourism value added or income reaching residents. Source: the paper, §§3–4 and Appendix A; Economic and Social Review 2025, Tables 2 and 5.
The paths through the pandemic and recovery
Annual levels, 2019 = 100. The dashed line marks the pre-pandemic level.
These are production and activity indices. None is a resident-income index. The paper uses a complete 132-month arrivals panel for 2015–2025 and a common-vintage annual visitor series for 2011–2025; this figure focuses on 2019 onward.
See the annual observations behind the chart
| Year | Stay-over arrivals | Paid nights, millions | Real accommodation & food-services value added |
|---|---|---|---|
| 2019 | 423,736 | 2.79 | 1,160.6 |
| 2020 | 130,781 | 1.04 | 408.3 |
| 2021 | 199,347 | 1.60 | 640.9 |
| 2022 | 356,237 | 2.57 | 1,075.0 |
| 2023 | 380,791 | 2.44 | 1,209.8 |
| 2024 | 435,659 | 2.58 | 1,339.6 |
| 2025 (preliminary) | 426,676 | 2.41 | 1,273.7 |
The comparison year matters. Arrivals, paid nights and real industry value added all declined between 2024 and 2025. Recovery from the pre-pandemic level and a recent slowdown can coexist.
02 / The accounting question
A visitor count is the start
of an income question.
Visits and time
Who came? Which stays and properties enter the night count?
Purchases
What did those visitors spend, and at what prices?
Production
What value was created in Saint Lucia after purchased inputs?
Resident income
Who received the earnings, and what could that income buy?
Match the people and the period.
Published paid nights divided by all arrivals is not automatically average trip length. Some visitors stay with relatives. Others combine paid and unpaid stays. Reporting may miss some properties, and a trip can cross from one month into the next.
The arrivals × share × duration identity is exact only when the populations and timing match. The paper separates accommodation use from reporting coverage and shows why calendar nights need a bridge to arrival cohorts.
Keep production and income distinct.
A foreign-owned hotel operating in Saint Lucia can create domestic value added while some ownership income accrues abroad. A local supplier’s sales also pay for inputs; they are not all local income.
Imported inputs, overseas booking services and income accruing to non-resident owners belong at different steps. Adding supplier sales to the wages and profits already within those sales counts the same value twice. Household prices then affect what resident earnings can buy.
03 / What the counts cannot settle
The same published path
can hide opposite income outcomes.
In a constructed example, arrivals rise 10%, published nights fall 10% and household prices rise 10%. Spending per true night and income per visitor dollar stay unchanged. Only the reporting relationship differs between the two cases.
Synthetic case A
Stable reporting coverage
The reporting factor stays unchanged. The fall in published nights reflects a fall in true nights in this model.
−18.2%real resident-income componentSynthetic case B
Reporting captures a smaller share
The final reporting factor is 75% of its starting value. The lower published count can coexist with more true nights.
+9.1%real resident-income componentThese are synthetic examples from §6.2, not estimates of Saint Lucia. They use a 10% night decline, distinct from the observed annual decline of about 13.6% above. They show why the direction of resident-income change cannot be read from arrivals and published nights alone.
The paper derives transparent conditional bounds when coverage, spending yield, prices and resident-income shares are uncertain. The bounds depend on stated assumptions. They are not automatically confidence intervals, and they are not a measured national income range.
04 / A result that changes measurement priorities
Sometimes the spending total
already answers the nights question.
If reliable spending is known for exactly the same visitor group, valuation and period, its total already combines true nights with spending per true night.
Once that product is known, treating coverage and spending per night as independent unknowns can create avoidable uncertainty in the income comparison. The next useful measurement may instead concern production costs, resident earnings, ownership income or prices.
The conditions are strict. A spending total for all stay-over visitors cannot simply replace spending for the paid-stayer group. Different timing or booking valuations can also break the link. Information on the accommodation frame may remain useful through shared survey or accounting constraints. Saint Lucia’s published total expenditure is therefore not automatically treated as a matched paid-segment measure. See §6.3.
Collect the missing observation that can change the answer.
The executed survey experiments also distinguish precision from representativeness. More responses can reduce random error while still missing the same visitor groups. The paper’s comparison of measurement options illustrates how to target a stated decision; its costs are hypothetical, not a Saint Lucia budget estimate.
05 / Contribution and limits
An audited case.
An executable measurement protocol.
The contribution combines a reconciled Saint Lucia record with established decomposition methods, conditional income bounds, executed coverage and survey-selection experiments, and a finite comparison of measurement choices. It identifies both defensible conclusions and the observations that could make the next decision more reliable.
The paper does not claim to invent the arrivals–nights identity, Shapley allocation or interval arithmetic. It does not estimate a current national retention rate or the causal effect of a Prime Minister, marketing partnership or policy. Unverified 2026 endpoints remain outside the principal empirical analysis. The evidence cutoff is 6 October 2026.
What remains unresolved?
The retrieved public record does not identify a national growth rate for tourism income accruing to residents. That uncertainty is a finding with practical consequences: first define the target and benchmark, then repair incompatible measures and collect the missing information.
Report a gain when the defensible range is wholly above the benchmark; a decline when it is wholly below; otherwise report unresolved. Better measurement need not give a favourable answer. It should give a more defensible one.
Read, cite and reproduce
When Arrivals Recover but Paid Nights Do Not: Measuring Tourism Recovery under Incomplete Accommodation Coverage in Saint Lucia
Kevin L. Michel · Saint Lucia Policy Analysis · 6 October 2026
The self-contained paper includes the literature and novelty audit, methods and proofs, executed results, complete numerical inputs, reproducible code, source and revision audit, references and AI-use disclosure.
Michel, K. L. (2026). When Arrivals Recover but Paid Nights Do Not: Measuring Tourism Recovery under Incomplete Accommodation Coverage in Saint Lucia. Saint Lucia Policy Analysis. https://doi.org/10.5281/zenodo.23197449
The earlier tourism-dollar model uses illustrative retention assumptions. They are not treated as measured current ratios in this paper.