Unequal housing in Pompeii
Using House Size to Measure Inequality
Bibliographic Data
| ID | 3919168 |
|---|---|
| Authors | Samuli Simeliu (0000-0002-5410-7394, University of Helsinki, corresponding author) |
| Year | 2022 |
| Volume | 54 |
| Issue | 4 |
| Pages | 602-624 |
| Publication date | 2022-08-08 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | World Archaeology (JOURNAL) |
| Journal identifiers | ISSN: 0043-8243 • E-ISSN: 1470-1375 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/00438243.2023.2172069 |
| OpenAlex | W4322770753 |
| Language | EN |
| Citations received | 5 |
| References cited | 27 |
House size is often used as a tool to calculate wealth in ancient societies, and thus it is also a potential source for the study of inequality. The site of Pompeii, on the Bay of Naples in southern Italy, was first inhabited about 800 years before the eruption of Mount Vesuvius buried it 79 CE. The city provides one of the largest data sets of private architecture in the Roman world, and it has been utilized to calculate the level of inequality in a Roman urban setting. Nonetheless, to understand the inequality of the entire society of the city, these calculations need to be developed. This article uses quantitative and statistical methods, such as Gini coefficients, Lorenz Curves, and also simpler graphs and their interpretation to advance establish methods for exploring inequality through house and building size. A method is proposed for identifying the top economic elite in this urban setting, and the article develops the calculation of inequality further, to encompass even individuals who did not own buildings. As a result, excavated Pompeii's top economic elite is estimated to have comprised 50 to 100 households, with a high level of inequality evident in this ancient city during its final phase, the year 79 CE
Archaeology · Data mining · Geography · Inequality · Measure (data warehouse · Computer Science · Historical and Literary Studies · Mathematics
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| Unique citing works | 5 |
|---|---|
| Citations per year | 1,67 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 5 |