Methodology
In order to explore patterns in the UNESCO World Heritage List, we used the dataset provided on the UNESCO website which offered structured data on over 1,200 inscribed properties worldwide. The dataset provides information on various attributes such as country, geographic region, year of inscription, and whether it is categorized as a cultural, natural, or mixed site. We used explanatory data analysis to understand how World Heritage Sites are spread over various geographic and temporal dimensions.
Data visualization methods were used to recognize patterns and clusters within the data set, such as the use of charts to compare the number of sites by world region, as well as the use of charts to track the trend of inscriptions over time. This has enabled us to look at the data at a group level, where we are able to recognize the progression of recognition over time, beginning with the first inscriptions in 1978, as well as the representation by region around the world. This has enabled us to look beyond the specific case study level, allowing us to look at the larger level patterns within the data set, enabling us to determine if the World Heritage List is representative of world cultural diversity or if it is representative of other factors, such as institutional capability.
Scope of Analysis
Our project utilizes the UNESCO World Heritage List dataset, supplemented with tourism and GDP data from the World Bank. While this data provides a comprehensive record of successfully inscribed World Heritage Sites, it simplifies the complex nomination and selection process undertaken by the World Heritage Committee through solely capturing final outcomes, which are sites that were successfully inscribed, and excluding nominations that were rejected. As a result, our analysis does not fully reflect the broader institutional processes that shape decision making, including the impacts of political lobbying and power relationships between states.
Our visualizations reveal a disproportionate number of sites in Europe and North America, a pattern also identified in previous research studies (Glaser-Segura et al. 202-216). However, other research finds no explicit systematic bias towards European or Western-style architecture within the evaluation stage by ICOMOS experts, suggesting that disparities may stem from factors such as nomination capacity, political negotiation, or historical accumulation instead (Dattilo et al. 425-456). Similarly, studies of the UNESCO World Heritage Committee discovered that final inscription decisions can diverge from expert recommendations due to political and economic dynamics between states, a concept labeled as the “politicization” of decision making (Bertacchini et al. 95-129). Because our dataset only captures inscription outcomes, it cannot account for these institutional and political implications.