From 38333669320ad29674e6cf228b7dd21d7435c41a Mon Sep 17 00:00:00 2001 From: Melanie Frazier Date: Tue, 2 Apr 2024 09:05:19 -0400 Subject: [PATCH] mispelling of Philippines --- content/news/2023-scores.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/news/2023-scores.md b/content/news/2023-scores.md index 7bd666e95..b315f70fa 100644 --- a/content/news/2023-scores.md +++ b/content/news/2023-scores.md @@ -68,7 +68,7 @@ The Tourism and Recreation goal aims to measure how well regions are sustainably This year, the goal had a major overhaul. Originally, the goal used proportion of employment in tourism as one of its data layers. The original data source, the [World Travel & Tourism Council (WTTC)](https://wttc.org), is no longer freely accessible, so we switched data sources to the [United Nations World Tourism Organization (UNWTO)](https://www.unwto.org/tourism-statistics/key-tourism-statistics). The UNWTO's dataset on employment in tourism had a large amount of missing data that was unable to be reasonably gapfilled at this time, so we transitioned to using one of their other datasets that provided total international arrivals. We specifically used data representing visitors who spent at least one overnight, gapfilling this with same-day visitors subtracted from total arrivals [(UNWTO, n.d.)](https://www.unwto.org/glossary-tourism-terms). To make this a proportion, we divided by the total amount of international arrivals indicated in the dataset. -These methods changes generally resulted in increases for most regions across the years. Some regions that previously scored very well (e.g., Phillippines), score poorly, while regions with large populations (China, USA), scored similarly under the old methods. With the new data, we still see the large decrease between 2019 and 2020, a result of the 2020 Covid-19 pandemic. Tourism and recreation scores are starting to recover from the Covid-19 pandemic, but we still do not see the pre-2020 levels yet. As new or updated global data sources become available or known, we hope to continue incorporating methods updates for this goal (e.g., including domestic tourism, including a metric for coastal arrivals, etc.). +These methods changes generally resulted in increases for most regions across the years. Some regions that previously scored very well (e.g., Philippines), score poorly, while regions with large populations (China, USA), scored similarly under the old methods. With the new data, we still see the large decrease between 2019 and 2020, a result of the 2020 Covid-19 pandemic. Tourism and recreation scores are starting to recover from the Covid-19 pandemic, but we still do not see the pre-2020 levels yet. As new or updated global data sources become available or known, we hope to continue incorporating methods updates for this goal (e.g., including domestic tourism, including a metric for coastal arrivals, etc.). ## References