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| =Introduction= | | ===The scale of the districts=== |
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| This project examines the socio-economic status and property dynamics of widows in the 18th- and early 19th-century Venice, focusing on two historical datasets: the Catastici and the Sommarioni. By analyzing these records, the project aims to uncover patterns in property ownership, tenancy, and rent payments, providing insights into widows’ roles and lives during this period.
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| The analysis focuses on identifying widows within the datasets and gathering key information such as property ownership, tenancy status, and rent values. It also compares trends across the two time periods to explore changes in widows’ economic circumstances. Specific questions include whether widows were more likely to own or rent properties, whether their properties differed in size or value from others, and how their economic situations varied between the Christian districts and the Jewish Ghetto.
| | Zooming in to the scale of the districts, it is clear that the economical situation of widows is different in each districts. |
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| ===Historical background===
| | It is worth mentioning that widows are not present in equal proportions in each district. In particular, the Ghetto is very dense with both widow owners and widow tenants. |
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| The project focuses on Venice during the period 1740–1808, a time marked by significant social and political changes. This era includes the dramatic [https://en.wikipedia.org/wiki/Fall_of_the_Republic_of_Venice Fall of the Republic of Venice] to [https://en.wikipedia.org/wiki/Napoleon Napoleon] in 1797, ending over a thousand years of independence. Unlike earlier centuries, the late 18th century was not plagued by [https://historywalksvenice.com/article/the-black-plague/a-chronology-of-the-black-plague-in-venice/ major epidemics], allowing for relative demographic stability.
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| Venetian society in this period was structured by rigid gender roles and a hierarchical [https://historywalksvenice.com/article/the-republic-of-venice/citizen-of-the-republic-of-venice/ class system]. At the top were the patricians, followed by citizens (popolani), and finally the commoners. These divisions were formalized through records like the [https://en.wikipedia.org/wiki/Libro_d%27Oro libro d'Oro], which documented the city’s elite families. Social mobility was limited, and class often determined one's opportunities and rights within the Republic.
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| As in many European cities at the time, Jews were the only people allowed to lend money. They were forced to live in a Ghetto and paid expensive taxes to the city. During night they were locked in the Ghetto.
| | Median rent varies among districts : San Marco is buy far the district with the highest median rent, while Dorsoduro has the lowest rent. |
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| This historical context provides a backdrop for the analysis, offering insight into the societal structures, class dynamics, and economic realities that shaped the lives of Venetians, particularly widows, during this transformative period.
| | Widow tenants rent under median rent properties in every district except San Marco, San Polo and Cannaregio. San Marco and San Polo are also the two districts with the lowest density of widow-owned and widow-rented properties. Widow tenants seem to be economically integrated in Cannaregio. |
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| ===Motivation===
| | The economical situation of widow owners is very different in each district. In Santa Croce and Dorsoduro, the poorest districts, they rent at even lower price than the district's median. Widow owners seem to be economically integrated in Castello. In San Marco, Cannaregio and the Ghetto widows rent at above median rents. Rent of widow owned properties is particularly high and exceeds 200% of median rent. |
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| [[File:Word cloud catstici.png|thumb|450px|Word cloud of all the tokens present in the Catastici that are not names]]
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| The situation of women in historical patriarchal societies is often difficult to fully understand. Their names are frequently only found in historical records when linked to male relatives, as women were long considered dependent on their fathers and later their husbands, with fewer rights than men. Wives were often referred to by their husband's name (e.g., Mrs. Leonardo Rossi would refer to Sofia Bianchi after marriage). Widows often faced the same fate, with their identities obscured or even forgotten.
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| This historical trend is evident in official documents like the Catastici and the Sommarioni, which list property owners. These records are dominated by male nouns and adjectives, as seen in the Word Cloud. However, it is interesting to note that a few female nouns and adjectives do appear, with widows among them. A closer examination of these widows can provide valuable, quantifiable insights into gender roles and the economic and cultural relationships in 18th-century Venice.
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| = Project Plan and Milestones=
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| The project is structured on a weekly basis, to ensure an even progression and workload. Each week has a clearly defined goal. The plan spans from the initial setup and data extraction through to final analysis and presentation, with clear milestones throughout.
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| The first phase of the project (07.10 - 13.10) is focused on defining the project's scope and structure. Here the focus was on creating a common understanding of the project to ensure good collaboration in the group. The following week data extraction of the widows in the two datasets started. In addition a review of historical papers on widows and Venice was done, providing the necessary context for the research (14.10 - 20.10). The analysis then shifted towards examining the widows mentioned in the Sommarioni and Catastici records. This stage involved comparative rent analysis and property ownership evaluation (8.10 - 03.11).
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| The mid-project milestones included a midterm presentation on 14.11, with further development of the analysis through the end of November (11.11 - 24.11). This phase focused on completing the property ownership and comparative rent analyses, as well as beginning to explore widow heritage and social aspects, such as the frequency of titles like "Vedova" and "Consorte" used in the records. These findings were progressively written into a shared wiki.
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| The final analysis phase, beginning 02.12, was dedicated to comparing the results of the previously conducted analyses, and identifying overarching trends related to widows in Venetian society. The last steps of the project (09.12 - 15.12) will involve finishing the wiki documentation and preparing the final presentation.
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| The project will conclude with the delivery of the GitHub repository and wiki on 18.12, followed by the final presentation on 19.12.
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| For a detailed overview of the workflow and corresponding milestones, see the table below.
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| {| class="wikitable" | | {| class="wikitable" |
| |+ '''Workflow''' | | |+ Median Rent in the districts |
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| ! '''Week''' !! '''Task'''
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| | '''07.10 - 13.10''' || Define project and structure work
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| | '''14.10 - 20.10''' ||
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| Write code to extract widow data <br> Read historical papers on widows and Venice
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| | '''21.10 - 27.10''' || Autumn vacation
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| | '''28.10 - 03.11''' ||
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| Comparative rent analysis (catastici) <br> Property ownership <br> Heritage
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| | '''04.11 - 10.11''' ||
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| Analysis: <br> - Property ownership <br> - Comparative rent analysis <br> Prepare for the presentation
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| | '''11.11 - 17.11''' ||
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| Midterm presentation on 14.11 <br> Continue analysis
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| | '''18.11 - 24.11''' ||
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| Finish property ownership analysis - Sommarioni & Catastici <br> Finish comparative rent analysis - Catastici
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| | '''25.11 - 01.12''' ||
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| Start widow heritage analysis
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| | '''02.12 - 08.12''' ||
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| Compare all analyses to identify general trends for widows <br> Interpret some of the results
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| | '''09.12 - 15.12''' ||
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| Finish writing the wiki <br> Prepare the presentation
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| | '''16.12 - 22.12''' ||
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| Deliver GitHub + wiki on 18.12 <br> Final presentation on 19.12
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| |}
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| =Dataset presentation=
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| For this project, two primary datasets are used as the foundation for the analysis, the Catastici and the Sommarioni. These historical records provide information about property ownership, income, and land use in Venice.
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| ==Catastici==
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| [[File:Catastici.png|[[https://fdh.epfl.ch/images/6/6c/Catastici.png]]|right|thumb|200px|Catastici]]
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| The Catastici is a historical register from 1740 comprising 32'123 property records, collected through door-to-door surveys within a parish. The sequence of entries reflects the route taken during data collection. The original register contains five main columns of information:
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| * Owner information
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| * Tenants
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| * Income from rent
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| * Place name
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| * Urban function
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| The entries vary in detail, as there was no strict data format. Some records are highly detailed, while others lack certain information. During standardization and digitization, additional columns were created to improve data usability, such as ''Family Name'' and ''Owner Title''.
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| For analysis, the transcription version "catastici_text_data_20240924.json" is used. This dataset includes both the original and standardized columns.
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| ==Sommarioni==
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| [[File:Sommarioni.png|[[https://fdh.epfl.ch/images/6/6a/Sommarioni.png]]|right|thumb|200px|Sommarioni]]
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| The Sommarioni is a cadaster from 1808, documenting properties and parcels in Venice alongside their assigned parcel numbers. In total it has 23,400 entries. The dataset is tabular and contains the following core information:
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| * Parcel Number: Corresponding to a specific property
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| * Owner Information: Listing the property owner
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| * Quality: Describing the function or use of the property
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| Similar to the Catastici, additional columns were added post-digitization to capture supplementary details. Unlike the Catastici, the Sommarioni does not include information about tenants of rented properties.
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| For the analysis the dataset "sommarioni_text_data_20240709.json" was used.
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| =Methodology=
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| ==Property ownership analysis==
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| For the property ownership analysis for the widows mentioned in the Catastici and Sommarioni a similar approach was used. First the widows were located in the relevant columns using the keywords "vedova" and "relicta", meaning widow, and "consorte", meaning wife of dead husband. After filtering the datasets using row-wise text matching for these keywords, the entries of the widows were saved. These new datasets were then used as the basis of further analysis. A distant reading methodology of the data was done by counting and and creating distributions of different variables given in the data. When counting properties, uniqueness of each property was ensured by the unique identification number of the parcel provided in the dataset. For ensuring uniqueness in widows, this was done for both datasets manually and by using likeness of standardized names.
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| ==Heritage Analysis==
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| To explore inheritance patterns of widow-owned properties in Venetian records, two following two approaches were used.
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| '''Linking Catastici to Sommarioni'''
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| Properties owned by widows in the Catastici were linked to entries in the Sommarioni through matching the "id_napo" from the Catastici to the corresponding parcel numbers in the Sommarioni. For this analysis only the widows mentioned as "vedova" or "consorte" in the Catastici was used.
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| Due to the limited amount of data available, only 16 entries with an id_napo in the Catastici, manual inspection was conducted to identify familial connections.
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| '''Linking Sommarioni to Catastici'''
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| Properties listed in the Sommarioni were traced back to the Catastici using parcel numbers and name similarity.
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| Using the parcel numbers from the Sommarioni, they were linked with the id_napo of the Catastici. To check for familiar relations between the owners a name similarity analysis was conducted. Here computational tools like [https://docs.python.org/3/library/difflib.html difflib] were used to compare widow names between datasets, accounting for spelling variations (e.g., "Bonvicini" vs. "Bonbicini"). A similarity threshold of 0.7 was applied.
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| This methodology allowed for a combination of qualitative and quantitative analysis, addressing historical inconsistencies while exploring inheritance patterns across records.
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| ==Rent Analysis==
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| Before analyzing the rent, the different currencies had to be converted into lirae. For this the following conversion table was used (NB: The default unit was ducato if no unit was specified). [https://en.wikipedia.org/wiki/Venetian_lira] [https://giacomo-casanova.de/catour16.htm] [https://muse.jhu.edu/pub/1/oa_monograph/chapter/2471365]
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| {| style="float: right; margin-left: 1em; border: 1px solid #aaa; border-collapse: collapse; width: 200px; text-align: center;" class="wikitable"
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| |+ Venetian Currency Conversion
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| ! Currency !! Value in Denari
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| | 1 Ducato || 1488
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| | 1 Lira || 240
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| | 1 Grosso || 62
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| | 1 Soldo || 12
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| |}
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| Widows were identified across multiple properties using their names to see if widows own or rent multiple properties. Nobles were also isolated through a set of keywords ('nobil', 'conte', 'cavaliere', 'marchese', 'duca', 'principe', 'barone', 'illustrissima', 'illustrissimo') as well as the Jewish Ghetto because nobility status and religion and culture can potentially influence the rent. Instances of charity were identified as properties where no rent is paid in money, ''quality_income'' contains a reasonable justification ('gratis', 'amor dei') and there is no ''quantity_income''. This allowed to compare charity towards widows against charity in Venice. The median rent was used as a robust estimator of economical situations for widow-owned properties and widow-rented properties, at the scale of Venice, at the scale of each district and at the scale of each parish. The difference between the median rent of an area and the median rent of widow owners/tenants in that same area was computed. This information was then compared to geographical observations from plotting properties geographically, highlighting widows, showing rent with color, nobility with edges and size, parishes with lines.
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| The hypothesis raised in this study were based on the observed tendencies and supported by literature.
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| =Results=
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| ==Property Ownership Analysis==
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| ===Catastici Property Analysis===
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| '''Widows extraction in the Catastici'''
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| Using the methods described in the[[#Property ownership analysis| Property ownership analysis]], a total of 104 unique mentions of widows were identified in the Catastici out of the 33'297 entries. Widows names were identified when they were mentioned as either "Vedova" or "Consorte" in the column of owner names or in the column of tenants names. Since one widow can own several properties, instance were counted with and without repeats. In the tables below, counts of all mentions of widows as "vedova" and "consorte" are displayed with and without repeats.
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| <div style="display: flex; justify-content: center; gap: 2%; text-align: center;">
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| <div style="width: 45%;">
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| {| class="wikitable" style="width: 100%; text-align: center;"
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| |+ Number of mentions of Vedova and Consorte
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| ! Mentioned As
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| ! Owner Name
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| ! Tenant Name
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| ! Total mentions
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| ! Vedova
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| | 26
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| | 55
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| | '''81'''
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| ! Consorte
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| | 37
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| | 6
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| | '''43'''
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| ! Total
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| | '''63'''
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| | '''61'''
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| | '''124'''
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| |}
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| </div>
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| <div style="width: 45%;">
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| {| class="wikitable" style="width: 100%; text-align: center;"
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| |+ Number of unique mentions of Vedova and Consorte
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| ! Mentioned As
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| ! Owner Name
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| ! Tenant Name
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| ! Total mentions
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| ! Vedova
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| | 22
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| | 49
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| | '''71'''
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| ! Consorte
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| | 29
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| | 5
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| | '''34'''
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| ! Total
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| | '''51'''
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| | '''54'''
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| | '''105'''
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| |}
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| </div>
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| </div>
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| '''Antonia Franchini'''
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| As mentioned above, in total, 104 unique names of widows were identified. However, adding each count of unique instances of both keywords vedova and consorte for both owners and tenants results to 105 instances, meaning one more instance than expected (see the tables above). This difference is due to one widow in the Catastici who owned one property and rented another one: ''Antonia Franchini vedova''. Apparently, in 1740, '''Antonia Franchini''' was renting a house and a fruit roll shop (casa e bogetta da frutaroll) owned by ''Nobil Domina Chiara Moro Zen''. The property '''Antonia Franchini''' owned was an ''inviamento'' located in Cannaregio and was not rented to anyone.
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| '''Properties owned and rented by widows in the Catastici'''
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| It is intuitive to think that some widows could own several properties. On the same note, some widows could rent several properties. Following this idea, the number of widows owning or renting several properties was computed and their distribution is shown in the barplots below.
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| <div style="display: flex; justify-content: center; gap: 2%; text-align: center; align-items: center;">
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| <div style="width: 45%; text-align: center; max-width: 100%; height: auto;">
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| [[File:Cat_dist.jpeg|450px|alt=Number of owned properties]]
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| </div>
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| <div style="width: 45%; text-align: center; max-width: 100%; height: auto;">
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| [[File:Cat_prop_rent.jpeg|450px|alt=Number of rented properties]]
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| </div>
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| </div>
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| As expected most widows in the Catastici owned one single property (45/51 widow owners). Six of them, however, stand out and revealed to own more than one property, even up to six properties. These six particular widows could be extracted and their names are displayed in the table below. Similarly, one could think that people would most commonly rent one single property which is the case for most of the widows (49/54 widow tenants). For five of them, several properties were rented under their name, up to four properties for one of them. These widows' names are displayed in the table below.
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| <div style="display: flex; justify-content: center; gap: 2%; text-align: center;">
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| <div style="width: 45%;">
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| {| class="wikitable" style="width: 100%; text-align: center;"
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| ! Widows' Name | | ! Sestiere !! Median Rent !! Widow Owners Median Rent Difference !! Widow Tenants Median Rent Difference !! Properties !! Widow Owned Properties !! Widow Rented Properties !! Widow Properties Density |
| ! Number of Owned Properties | |
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| | Nobil Domina Perina Capello consorte del Nobil Homo Ser Polo | | | Castello || style="color:black; font-weight:bold;" |124.0₤ || style="color:black; font-weight:bold;" |+0.0₤ || style="color:red; font-weight:bold;" | -12.4₤ || 5774 || 36 || 49 || style="color:green" |1.47% |
| | 5 | |
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| | Vedova Steffani Nodaro | | | Santa Croce || style="color:black; font-weight:bold;" |111.6₤ || style="color:red; font-weight:bold;" | -21.7₤ || style="color:red; font-weight:bold;" | -31.0₤ || 3218 || 45 || 36 || style="color:green" |2.52% |
| | 3 | |
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| | Domenica Ferrari consorte di Zuanne Stella | | | Cannaregio || style="color:black; font-weight:bold;" |124.0₤ || style="color:green; font-weight:bold;" | +124.0₤ || style="color:black; font-weight:bold;" |0.0₤ || 6016 || 25 || 31 ||style="color:red" | 0.93% |
| | 3 | |
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| | Vianoli Consorte del Nobil Homo Ferigo Renier | | | Dorsoduro || style="color:black; font-weight:bold;" |86.8₤ || style="color:red; font-weight:bold;" | -13.6₤ || style="color:red; font-weight:bold;" | -15.5₤ || 5835 || 32 || 20 || style="color:red"|0.89% |
| | 2 | |
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| | Fiama Fiorelli vedova di Giacomo Dente | | | San Marco || style="color:black; font-weight:bold;" |210.8₤ || style="color:green; font-weight:bold;" | +49.6₤ || style="color:green; font-weight:bold;" | +80.6₤ || 5697 || 20 || 28 || style="color:red" |0.84% |
| | 2 | |
| |} | |
| </div>
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| <div style="width: 45%;">
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| {| class="wikitable" style="width: 100%; text-align: center;"
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| |- | | |- |
| ! Widows' Name
| | | Ghetto Novossimo || style="color:black; font-weight:bold;" |124.0₤ || style="color:green; font-weight:bold;" |+18.6₤ || style="color:red; font-weight:bold;" | -37.2₤ || 529 || 12 || 8 || style="color:green" |3.78% |
| ! Number of Rented Properties
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| | Domenica Persego vedova Domino Val[azzo] | | | San Polo || style="color:black; font-weight:bold;" |142.6 || style="color:red; font-weight:bold;" | -31.0 || style="color:green; font-weight:bold;" | +31.0 || 2930 || 12 || 7 || style="color:red" |0.64% |
| | 4 | |
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| | Orsetta Maggia vedova
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| | 2
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| |-
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| | Elisabetta Vedova
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| | 2
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| |} | | |} |
| </div>
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| </div>
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| '''Perina Capello'''
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| '''Perina Capello''' was the widow who owned the most properties in Venice in 1740. As she is the only widow that is referred to as a ''Nobil Domina'', it is likely that she had a great influence at that time. Among the five properties she owned, most of them are houses (''casa'' and ''casetta'') that she rented to both males and females. All her properties were located in the district Santa Croce, all nearby to each other.
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| '''Widows' Distribution across Venice districts'''
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| [[File:Districts.jpeg|350px|thumb|right|Districts of Venice]]
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| Through history, the construction and inhabitation of cities followed population dynamics, creating clusters of people related to their social and economical situation. One can learn a lot about a group and a population just by looking at their spacial distribution. In this optic, this study compared the spatial distribution of properties owned and rented by widows across Venice's districts with the global distribution of properties in Venice. The Figure below illustrates the results obtained when computing this data.
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| In the first panel of the graph below ("Property Owners") the distribution of owned properties across the district of the entire population tells us that regarding the total population of Venice, the district with the most owned properties in is ''Cannaregio'' where nearly 18% of the owned properties are found. On the contrary, the district with the less owned properties is the ''Ghetto Novossimo'', which contains only 2% of the total owned properties. These observations make sense since ''Cannaregio'' and the ''Ghetto'' represent, respectively, the largest and the smallest area of the city of Venice, which directly affects the number of properties they can contain which thus affects the proportion of properties that can be owned in the first place. This study also computed the repartition of properties owned by widows across the district which revealed a completely different distribution. For instance, while ''Cannaregio'' represented 18% of the total owned properties, for properties owned by widows, only 7.5% of them are located in this district. Similarly, while the Ghetto represented only 2% of the total owned properties, for widows, this district contains nearly one fifth of all the propeties that are owned by widows.
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| To compare the difference in repartition between widows and global population, this study computed the ratios of the proportion of properties owned by widows in a district over the proportion the same district represents in the entire population. The results are shown in the second panel of the Figure below ("Relative Proportion of Properties Owned by Widows in each District"). If this ratio is equal to 1, this means that the proportion of properties owned in this district is the same for widows as for the global population. If this ratio is greater that 1, notably for the ''Ghetto Novossimo'' whose ratio is equal to 9.5, it means that the proportion of properties owned by widows is equal to 9.5 times the global proportion.
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| These operations were also done on the rented properties, as shown in the last two panels of the figure below. From this one can establish that properties rented by widows are more distributed in ''Cannaregio'', ''Ghetto Novossimo'' and ''Santa Croce'' than the global population.
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| [[File:Catatsici_property_analysis.jpeg|800px|https://fdh.epfl.ch/images/0/09/Catatsici_property_analysis.jpeg|center|Comparison of the distribution of properties owned and rented by widows in each district with the general population distribution]]
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| ===Sommarioni Property Analysis===
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| [[File:Dis_prop_wid_new.png|https://fdh.epfl.ch/images/c/c7/Dis_prop_wid_new.png|right|500px|Distribution of numbers of properties owned by a widows]]
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| Using the methods described in [[#Property ownership analysis| Property ownership analysis]], the study identified 659 entries related to widows out of a total of 23,400 entries in the Sommarioni. Since this dataset includes only property owners and excludes tenants, no conclusions can be drawn about the amount of widows renting properties.
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| '''Ownership Distribution'''
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| When looking at how many properties one widow holds, it is important to ensure that it is the same widow. When comparing the data it appears that in the 'owner' category there are 443 unique owners, whilst in the 'owner_standardised' there are only 360 unique widows. This means that there must be different spellings and errors in the way the widows are written in the 'owner' section compared to the cleaned and standardized section, which is as expected. When looking at the new list of widows, it is still possible to see the same widows, but written differently and further refinement is therefore necessary. After looking for similarities in the names, there are 246 unique widows.
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| Most widows own a single property, as illustrated in the [[#Distribution of numbers of properties owned by a widows| histogram]], which shows an exponential decrease in ownership frequency with increasing property counts.
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| From the data:
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| * The majority of widows own one property.
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| * The graph shows similarities to an exponential decay.
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| * The maximum observed ownership is 25 properties, held by Loredana Grimani, wife of Giovanni Morosini.
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|
| |
| '''Loredana Grimani'''
| |
|
| |
| Loredana Grimani is the widow holding the most properties in Venice in 1808. This exceptional case may indicate significant wealth, and further investigation into the Grimani-Morosini family could provide more context. From the presentation given on the Venice Data [https://www.dropbox.com/scl/fo/tu5waw0623hcp4537lx6u/AKx-eznaH6BRddo1goaF7OE?dl=0&e=1&preview=FDH2024-1-7-VeniceData.pdf&rlkey=jiewdfpk5ysyv92m1817sk5qc&st=01697apo], there is a graph from showing the distribution of family ownership - weighted by ownership portion. The graph, based on Catastici data, highlights that both the Morosini and Grimani families controlled a significant share of Venetian properties during this period. It is reasonable to assume that by the time of the Sommarioni in 1808, the Grimani family’s property holdings had remained relatively stable.
| |
|
| |
| '''Geographic Distribution of Widow-Owned Properties'''
| |
|
| |
| The [[#Fraction of properties owned by widows and people per district|graph]] compares the proportion of properties owned by widows to those owned by the general population in each district. This comparison reveals significant regional differences:
| |
|
| |
| * In Cannaregio, widows own a disproportionately large share of properties compared to the general population.
| |
| * In Castello, widow property ownership is notably lower than that of the general population.
| |
| * In Dorsoduro, San Marco, and San Paolo, widows own slightly more properties than average, while in Santa Croce, widows own slightly fewer properties.
| |
| These findings suggest that socio-economic and demographic factors may influence the distribution of widow property ownership across districts.
| |
|
| |
| <div style="float: center; width: auto;">
| |
| <gallery mode="packed" heights="250px" >
| |
| File:Frac_prop_wid_peop_dis_leg.png|https://fdh.epfl.ch/images/0/0b/Frac_prop_wid_peop_dis_leg.png|[[https://fdh.epfl.ch/images/0/0b/Frac_prop_wid_peop_dis_leg.png]]|250px|Fraction of properties owned by widows and people per district
| |
| File:Nom_avg_area_wid_dis.png|[[https://fdh.epfl.ch/images/5/5d/Nom_avg_area_wid_dis.png]]|250px|Normalised average area of properties owned by widows in a given district
| |
| </gallery>
| |
| </div>
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|
| |
| '''Property Size and Wealth Indicators'''
| |
|
| |
| The [[# Normalised average area of properties owned by widows in a given district| figure]] shows what the average area of a property owned by a widows in a given district is, normalized by the average area of the properties in that district. This might give an indication of the wealth of the different districts. Though it has to be said, that the area given in the Sommarioni is likely computed from the vectorization available in the GeoJSON file.
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|
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| Key observations include:
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|
| |
| * In Castello, widow-owned properties are approximately 40% larger than the average, a notable finding considering the low number of widows holding property there. This discrepancy may reflect wealth concentration among widows in Castello.
| |
| * In Dorsoduro, the average property size for widows is comparable to the district average.
| |
| * In other districts, widow-owned properties are generally smaller than the average, suggesting a relatively worse economic situation for widows in these areas.
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|
| |
| '''Property Functions'''
| |
| [[File:Dis_ent_numb_qual.png|https://fdh.epfl.ch/images/f/fc/Dis_ent_numb_qual.png|350px|right|Number of quality given]]
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|
| |
| The final aspect of the analysis focuses on the types and functions of widow-owned properties. The graph below shows the distribution of properties by the number of distinct functions they serve.
| |
|
| |
| From this data:
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|
| |
| * Most properties serve a single function, while over 100 properties serve two functions.
| |
| * A smaller number of properties have three or four functions, which may reflect detailed notations in the Sommarioni or unique uses of these properties.
| |
| * Of the 659 widow-owned properties, 555 are rented (partially or fully), while 104 are not rented at all. The non-rented properties primarily include vegetable gardens (''orto'') and covered walkways (''sottoportico'').
| |
| * Only nine widows are listed as living in the properties they own, an unexpectedly low number that may merit further investigation.
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|
| |
| ===Catastici and Sommarioni: Properties Analysis Comparison===
| |
|
| |
| When comparing the results of the different analysis of the Catastici and Sommarioni only the intersection of the columns from the two sets are possible to use. This is due to the datasets not containing the same data. An example for something that falls outside this scope is the aspect of the tenants, due to them not being mentioned in the Sommarioni. A few common aspects can still be compared between the analysis of both datasets.
| |
|
| |
| ====Amount of extracted widows====
| |
|
| |
| In the Catastici, out of 33'297 entries, this study could only extract 104 widows (70 vedova VS 34 consorte), while in the Sommarioni, even though it contains 23'400 entries, which is less than the Catastici, 659 widows (651 vedova VS 8 consorte) could be found. This rises multiple questions like if the difference is representative of a true difference in number of widows in Venice population between the two time points or if it is due to some bias induced by the data and the way widows were recorded.
| |
|
| |
| ====Distribution of owners in each district====
| |
|
| |
| As seen in [[#Catastici Property Analysis|Distribution of the widows across Venice districts]], in 1740, there were strikingly more widows that were recorded to own properties in the ''Ghetto Novossimo'' (part of ''Cannaregio'') than the rest of the population, while in the [[#Sommarioni Property Analysis|Sommarioni Property Analysis]] widows tended to own more properties in completely different regions, namely Castello and Dorsoduro. These regions are also different from the ones in which widows tended to rent more properties than the global population. This drastic change in the locations of widow-owned properties between the two time points could be investigated.
| |
|
| |
| ==Heritage analysis==
| |
| The inheritance of properties by widows in Venice offers insight into historical family dynamics and property ownership structures. This study examines links between property records in the Catastici and Sommarioni to identify patterns of inheritance. The analysis focuses on widows who owned property, as tenants are not mentioned in the Sommarioni.
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|
| |
| ===Catastici to Sommarioni===
| |
|
| |
| Of the 61 widow-owned properties in the Catastici, only 16 contained valid id_napo values, enabling direct comparison. Manual inspection of these entries yielded the following results. From these 16 entries, some of them id_napos related to the same parcel number. Therefore only 11 distinct cases are given in the datasets.
| |
|
| |
| For four of the entries there was no apparent relationship between the widow-owned properties in the Catastici and corresponding entries in the Sommarioni. For example, the property linked to id_napo 4270 (Catastici: Gerolema; Sommarioni: DA' RIVA Giovanni Battista) showed no familial or functional connection.
| |
|
| |
| For another seven of the entries there is a possible relationship between the two datasets. Several cases suggested familial inheritance, often indicated by shared last names between the Catastici and Sommarioni entries.
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|
| |
|
| |
| '''Elena Vianol and Paolina Mocenigo'''
| |
|
| |
| An example of this is id_napo 4896, where in the Catastici the owner of a house with a shop is called '''Elena Vianol''' (widow of Ferigo Renier). In the Sommarioni the owner is called Renier Bernardino, which is likely a family member. '''Elena Vianol''' (widow of Ferigo Renier) also appeared in multiple instances where properties were inherited by individuals with the surname Renier. '''Paolina Mocenigo''' (widow of Michiel Morosini) showed a similar trend, with properties inherited by Morosini Elisabetta.
| |
|
| |
| ===Sommarioni to Catastici===
| |
|
| |
| Attempting to trace properties from the Sommarioni back to the Catastici yielded 388 potential links based on matching parcel numbers. Given the volume of data, computational methods were employed to identify connections.
| |
|
| |
| The analysis focused on name similarity, which presented challenges due to variations in spelling (e.g., Bonvicini vs. Bonbicini). Despite these difficulties, clear inheritance patterns were identified in several cases.
| |
|
| |
| The analysis revealed clear inheritance patterns in several cases, particularly among prominent families like the Renier and Morosini. These findings suggest that property often stayed within family lines, with widows playing a transitional role in ownership. Discrepancies in name spelling, inconsistent recording practices, and incomplete historical data hindered efforts to establish conclusive links for many properties. These limitations highlight the need for refined computational techniques and deeper contextual understanding in future research.
| |
|
| |
| ==Rent and Geographic Analysis==
| |
| The following rent and geographic analysis is based on the Catastici.
| |
|
| |
| When looking at the entire city of Venice, only 120 properties involving widows were found from a total of more than 30 thousand. Widows are identified with keywords (consorte and vedova), so all the widows mentioned with only their name are not included in the analysis.
| |
|
| |
| ===Classification: Jewish and Nobles===
| |
| Widows live in very different situations depending on their socioeconomic situation, the number of children they have and if they remarry or not. To understand the rent paid and earned by widows it is useful to identify different groups within the observed population. Isolating the nobility from the rest of the population can be insightful to understand rent patterns. Another useful separation is to isolate the Jewish society from the rest of the Christian society. Only one property (out of 745) in the Jewish Ghetto is owned by a noble and it does not involve widows. The condition of Jews in the Ghetto is discussed in the section related to the Ghetto.
| |
|
| |
| Widows in the Catastici are always either tenants or owners of a place.
| |
|
| |
| ===Charity===
| |
|
| |
| From the Catastici it is appearent that not everyone is paying rent with money, or even paying rent at all.
| |
| It appears like people are allowed to pay rent using money or goods. An common example for a good used for paying rent is sugar.
| |
| However, no widow owner was found receiving payment in goods and no widow tenant was found paying in goods.
| |
| Properties with no rent paid, meaning not paid in money or good, fall into the following three categories.
| |
| * charity (for instance : "gratis": free , "per carità": per charity, "per grazia": per grace, "amore dei": for the love of God)
| |
| * refusal to pay ("giurò non pagar affitto": swore not to pay rent)
| |
| * no comment
| |
| It is difficult to determine if no comment entries are mistakes and rent was actually paid, if they fall into charity or if some sort of agreement between owner and tenants.
| |
| Focusing on explicit instances of charity, it is clear that charity towards widow tenants is two times higher than charity in general.
| |
| Widow owners were not found practicing charity.
| |
|
| |
| {| class="wikitable"
| |
| |+ Charity in Venice
| |
| |-
| |
| ! !! Total number of properties !! Properties where no rent is paid (no good and no money) !! Mentioned as charity
| |
| |-
| |
| | Venice || 33,297 (100%) || 3,115 (9.35%) || 169 (0.50%)
| |
| |-
| |
| | Widow Owners || 143 (100%) || 25 (17.18%) || 0 (0%)
| |
| |-
| |
| | Widow Tenants || 169 (100%) || 4 (2.36%) || 2 (1.18%)
| |
| |}
| |
|
| |
| ===The scale of Venice===
| |
| Widowhood is not the only factor that can influence rent.
| |
|
| |
| To identify geographical biases it is necessary to observe rent at smaller scales. | | To identify geographical biases it is necessary to observe rent at smaller scales. |
| ===Nobility and Widowhood===
| |
|
| |
|
| |
| {| class="wikitable"
| |
| |+ Median Rent and number of properties in Venice
| |
| |-
| |
| ! Median Rent !! Widow Owners Median Rent Difference !! Widow Tenants Median Rent Difference !! Properties !! Widow Owned Properties !! Widow Rented Properties
| |
| |-
| |
| | 124.0 || +0.0 || style="color:red; font-weight:bold;" | - 12.4 || 29999 || 182 || 179
| |
| |}
| |
|
| |
|
| |
| {| class="wikitable"
| |
| |+ Median Rent and number of noble-owned properties in Venice
| |
| |-
| |
| ! Median rent for noble-owned properties !! Widow noble owners median difference !! Widow tenants renting from nobles median difference !! Noble-owned properties !! Widow noble owners !! Widow tenants renting from nobles
| |
| |-
| |
| | 124.0 || +0.0 || +0.0 || 8913 || 52 || 45
| |
| |}
| |
|
| |
|
| |
|
| |
| {| class="wikitable"
| |
| |+ Median Rent and number of non-noble-owned properties in Venice
| |
| |-
| |
| ! Median rent for non-noble owned properties !! Widow non-noble owners median difference !! Widow tenants renting from non-nobles median difference !! Non-noble owned properties !! Widow non-noble owners !! Widow tenants renting from non-nobles
| |
| |-
| |
| | 124.0 || style="color:red; font-weight:bold;" | -6.2 || style="color:red; font-weight:bold;" | -12.4 || 21086 || 130 || 134
| |
| |}
| |
|
| |
|
| |
| {| class="wikitable"
| |
| |+ Median Rent and number of properties rented to nobles in Venice
| |
| |-
| |
| ! Median rent for properties rented to nobles !! Widow owners renting to nobles median difference !! Widow noble tenants median difference !! Noble rented properties !! Widow owners renting to nobles !! Widow noble tenants
| |
| |-
| |
| | 496.0 || style="color:green; font-weight:bold;" | +155.0 || style="color:red; font-weight:bold;" | -93.0 || 431 || 3 || 9
| |
| |}
| |
|
| |
|
| |
| {| class="wikitable"
| |
| |+ Median Rent and number of properties rented to non-nobles in Venice
| |
| |-
| |
| ! Median rent for properties rented to non-nobles !! Widow owners renting to non-nobles median difference !! Widow non-noble tenants median difference !! Non-noble rented properties !! Widow owners renting to non-nobles !! Widow non-noble tenants
| |
| |-
| |
| | 124.0 || style="color:red; font-weight:bold;" | -12.4 || style="color:red; font-weight:bold;" | -12.4 || 29568 || 179 || 170
| |
| |}
| |
|
| |
|
| |
| <gallery mode="packed" heights="400px">
| |
| File:Venice_noble.png
| |
| </gallery>
| |
|
| |
| ===The scale of the districts===
| |
|
| |
|
| |
| Zooming in to the scale of the districts, it is clear that despite high variations in rent between districts, the pattern of owners renting for more than the median rent and tenants renting at lower prices holds in almost every district.
| |
|
| |
| It is worth mentioning that widows are not present in equal proportions in each district. In particular, the Ghetto is very dense with both widow owners and widow tenants.
| |
|
| |
| {| class="wikitable"
| |
| |+ Median Rent in the districts
| |
| |-
| |
| ! Sestiere !! Median Rent !! Widow Owners Median Rent Difference !! Widow Tenants Median Rent Difference !! Properties !! Widow Owned Properties !! Widow Rented Properties
| |
| |-
| |
| | Castello || 124.0 || 0.0 || style="color:red; font-weight:bold;" | -12.4 || 5774 || 36 || 49
| |
| |-
| |
| | Santa Croce || 111.6 || style="color:red; font-weight:bold;" | -21.7 || style="color:red; font-weight:bold;" | -31.0 || 3218 || 45 || 36
| |
| |-
| |
| | Cannaregio || 124.0 || style="color:green; font-weight:bold;" | +124.0 || 0.0 || 6016 || 25 || 31
| |
| |-
| |
| | Dorsoduro || 86.8 || style="color:red; font-weight:bold;" | -13.6 || style="color:red; font-weight:bold;" | -15.5 || 5835 || 32 || 20
| |
| |-
| |
| | San Marco || 210.8 || style="color:green; font-weight:bold;" | +49.6 || style="color:green; font-weight:bold;" | +80.6 || 5697 || 20 || 28
| |
| |-
| |
| | Ghetto Novossimo || 124.0 || style="color:green; font-weight:bold;" |+18.6 || style="color:red; font-weight:bold;" | -37.2 || 529 || 12 || 8
| |
| |-
| |
| | San Polo || 142.6 || style="color:red; font-weight:bold;" | -31.0 || style="color:green; font-weight:bold;" | +31.0 || 2930 || 12 || 7
| |
| |-
| |
| |}
| |
|
| |
|
| Following in detail at each district. | | Following in detail at each district. |
| For each of them, the parishes in which widows are involved is provided by the dataset. | | For each of them, the parishes in which widows are involved is provided by the dataset. |
| Parishes represent local religious communities, but people do not always belong to the closest parish to where they live. In the following plots, parishes are represented by a line encircling all of it's members. Sometimes, non members happen to fall inside the parish's shape despite not belonging to it. Nobility owned properties are highlighted in black. Rent is shown with color. Here, the main method of investigation is to manually identify patterns in the following visualizations. | | Parishes represent local religious communities, but people do not always belong to the closest parish to where they live. In the following plots, parishes are represented by a line encircling all of it's members. Sometimes, non members happen to fall inside the parish's shape despite not belonging to it. Nobility owned properties are highlighted in black. Widow owners are highlighted in blue squares and yellow squares depending on their nobility status. Similarly, widow tenants are highlighted in red diamonds and yellow diamonds. Rent is shown with color. Here, the main method of investigation is to manually identify patterns in the following visualizations and comparing them to information about rent in the district's parishes. |
|
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|
Line 522: |
Line 43: |
| ====San Marco==== | | ====San Marco==== |
|
| |
|
| San Marco is a very rich district where rent is almost the double compared to the rest of Venice. The widows representation in this district is quite low. Noble widows are integrated within the noble community. Interestingly in this district, all the nobility is grouped in San Salvador. | | San Marco is a very rich district where rent is almost the double compared to the rest of Venice - is this still true |
| | |
| | The widows representation in this district is quite low. Noble widows are integrated within the noble community. Interestingly in this district, all the nobility is grouped in San Salvador.- is this still true |
| | |
| | |
| When ignoring the widows, the pattern of rent highlights key commercial elements of the district. For instance the main shopping street in the parish of San Salvador, "Merceria", is very visible because of the high rent. | | When ignoring the widows, the pattern of rent highlights key commercial elements of the district. For instance the main shopping street in the parish of San Salvador, "Merceria", is very visible because of the high rent. |
|
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|
Line 532: |
Line 57: |
| ! Parish !! Median Rent !! Widow Owners Rent Median Difference !! Widow Tenants Rent Median Difference !! Properties !! Widow Owned Properties !! Widow Rented Properties Size | | ! Parish !! Median Rent !! Widow Owners Rent Median Difference !! Widow Tenants Rent Median Difference !! Properties !! Widow Owned Properties !! Widow Rented Properties Size |
| |- | | |- |
| | Santa Maria Zobenigo || 183.4 || style="color:green; font-weight:bold;" |+126.6 || style="color:green; font-weight:bold;" |+188.6 || 256 || 5 || 5 | | | Santa Maria Zobenigo || style="color:black; font-weight:bold;" |183.4₤ || style="color:green; font-weight:bold;" |+126.6 || style="color:green; font-weight:bold;" |+188.6 || 256 || 5 || 5 |
| | |- |
| | | San Luca || style="color:black; font-weight:bold;" |161.2₤ || || style="color:green; font-weight:bold;" |+68.2₤ || 503 || 0 || 10 |
| |- | | |- |
| | San Luca || 161.2 || || style="color:green; font-weight:bold;" |+68.2 || 503 || 0 || 10 | | | San Bortolomio || style="color:black; font-weight:bold;" |223.2₤ || style="color:green; font-weight:bold;" |+24.8₤ || style="color:green; font-weight:bold;" |+24.8 || 503 || 5 || 3 |
| |- | | |- |
| | San Bortolomio || 223.2 || style="color:green; font-weight:bold;" |+24.8 || style="color:green; font-weight:bold;" |+24.8 || 503 || 5 || 3 | | | San Basso || style="color:black; font-weight:bold;" |396.8₤ || style="color:green; font-weight:bold;" |+703.7₤ || style="color:red; font-weight:bold;" |-124.0 || 135 || 2 || 1 |
| |- | | |- |
| | San Basso || 396.8 || style="color:green; font-weight:bold;" |+703.7 || style="color:red; font-weight:bold;" |-124.0 || 135 || 2 || 1 | | | San Marco || style="color:black; font-weight:bold;" |502.2₤ || style="color:red; font-weight:bold;" |-254.2₤ || style="color:green; font-weight:bold;" |+117.8 || 84 || 1 || 2 |
| |- | | |- |
| | San Marco || 502.2 || style="color:red; font-weight:bold;" |-254.2 || style="color:green; font-weight:bold;" |+117.8 || 84 || 1 || 2 | | | San Salvador || style="color:black; font-weight:bold;" |272.8₤ || style="color:red; font-weight:bold;" |-71.8₤ || || 521 || 2 || 0 |
| |- | | |- |
| | San Salvador || 272.8 || style="color:red; font-weight:bold;" |-71.8 || || 521 || 2 || 0 | | | San Vidal || style="color:black; font-weight:bold;" |310.0₤ || style="color:red; font-weight:bold;" |-148.8₤ || || 175 || 2 || 0 |
| |- | | |- |
| | San Vidal || 310.0 || style="color:red; font-weight:bold;" |-148.8 || || 175 || 2 || 0 | | | Sant'Angelo || style="color:black; font-weight:bold;" |186.0₤ || style="color:green; font-weight:bold;" |+46.5₤ || || 506 || 2 || 0 |
| |- | | |- |
| | Sant'Angelo || 186.0 || style="color:green; font-weight:bold;" |+46.5 || || 506 || 2 || 0 | | | San Ziminian || style="color:black; font-weight:bold;" |248.0₤ || || style="color:green; font-weight:bold;" |+124.0₤ || 714 || 0 || 2 |
| |- | | |- |
| | San Ziminian || 248.0 || || style="color:green; font-weight:bold;" |+124.0 || 714 || 0 || 2 | | | San Paternian || style="color:black; font-weight:bold;" |186.0₤ || || style="color:green; font-weight:bold;" |+24.8₤ || 178 || 0 || 2 |
| |- | | |- |
| | San Paternian || 186.0 || || style="color:green; font-weight:bold;" |+24.8 || 178 || 0 || 2 | | | San Maurizio || style="color:black; font-weight:bold;" |192.2₤ || || style="color:green; font-weight:bold;" |+303.8₤ || 139 || 0 || 2 |
| |- | | |- |
| | San Maurizio || 192.2 || || style="color:green; font-weight:bold;" |+303.8 || 139 || 0 || 2 | | | San Samuel || style="color:black; font-weight:bold;" |124.0₤ || style="color:green; font-weight:bold;" |+148.8₤ || || 419 || 1 || 0 |
| |- | | |- |
| | San Samuel || 124.0 || style="color:green; font-weight:bold;" |+148.8 || || 419 || 1 || 0 | | | San Moise || style="color:black; font-weight:bold;" |204.6₤ || || style="color:red; font-weight:bold;" |-93.0₤ || 859 || 0 || 1 |
| | |- |
| | ! TOTAL San Marco !! style="color:black; font-weight:bold;" |210.8₤ !! style="color:green; font-weight:bold;" | +49.6₤ !! style="color:green; font-weight:bold;" | +80.6₤ !! 5697 !! 20 !! 28 |
| |- | | |- |
| | San Moise || 204.6 || || style="color:red; font-weight:bold;" |-93.0 || 859 || 0 || 1
| |
| |} | | |} |
|
| |
|
Line 585: |
Line 113: |
| |- | | |- |
| | Santa Giustina || 117.8 || style="color:green; font-weight:bold;" |+520.8 || || 321 || 1 || 0 | | | Santa Giustina || 117.8 || style="color:green; font-weight:bold;" |+520.8 || || 321 || 1 || 0 |
| | |- |
| | ! TOTAL Castello !! 124.0 !! 0.0 !! style="color:red; font-weight:bold;" | -12.4 !! 5774 !! 36 !! 49 |
| |} | | |} |
|
| |
|
Line 601: |
Line 131: |
| |- | | |- |
| ! Parish !! Median Rent !! Widow Owners Rent Median Difference !! Widow Tenants Rent Median Difference !! Properties !! Widow Owned Properties !! Widow Rented Properties | | ! Parish !! Median Rent !! Widow Owners Rent Median Difference !! Widow Tenants Rent Median Difference !! Properties !! Widow Owned Properties !! Widow Rented Properties |
| | |- |
| | | Santi Apostoli || 161.2 || style="color:red; font-weight:bold;" | -62.0 || style="color:red; font-weight:bold;" | -55.8 || 618 || 9 || 2 |
| | |- |
| | | Santa Sofia || 136.4 || style="color:green; font-weight:bold;" | +155.0 || style="color:green; font-weight:bold;" | +43.4 || 546 || 4 || 6 |
| | |- |
| | | San Marcuola || 117.8 || style="color:green; font-weight:bold;" | +71.3 || style="color:green; font-weight:bold;" | +83.7 || 1432 || 2 || 6 |
| | |- |
| | | San Marcilian || 124.0 || style="color:green; font-weight:bold;" | +117.8 || style="color:green; font-weight:bold;" | +272.8 || 589 || 2 || 4 |
| |- | | |- |
| | San Cancian || 124.0 || style="color:green; font-weight:bold;" | +124.0 || style="color:red; font-weight:bold;" | -62.0 || 629 || 3 || 1 | | | San Cancian || 124.0 || style="color:green; font-weight:bold;" | +124.0 || style="color:red; font-weight:bold;" | -62.0 || 629 || 3 || 1 |
| |- | | |- |
| | San Felice || 186.0 || style="color:green; font-weight:bold;" | +155.0 || style="color:green; font-weight:bold;" | +434.0 || 351 || 1 || 1 | | | Santa Maria Nova || 198.4 || || style="color:red; font-weight:bold;" | -111.6 || 183 || 0 || 4 |
| |-
| |
| | San Geremia || 99.2 || style="color:green; font-weight:bold;" | +148.8 || style="color:red; font-weight:bold;" | -49.6 || 1082 || 1 || 1
| |
| |- | | |- |
| | San Giovanni Grisostomo || 186.0 || style="color:green; font-weight:bold;" | +136.4 || style="color:green; font-weight:bold;" | +124.0 || 187 || 2 || 1 | | | San Giovanni Grisostomo || 186.0 || style="color:green; font-weight:bold;" | +136.4 || style="color:green; font-weight:bold;" | +124.0 || 187 || 2 || 1 |
Line 612: |
Line 148: |
| | San Lunardo || 148.8 || || style="color:red; font-weight:bold;" | -74.4 || 117 || 0 || 3 | | | San Lunardo || 148.8 || || style="color:red; font-weight:bold;" | -74.4 || 117 || 0 || 3 |
| |- | | |- |
| | San Marcilian || 124.0 || style="color:green; font-weight:bold;" | +117.8 || style="color:green; font-weight:bold;" | +272.8 || 589 || 2 || 4 | | | San Felice || 186.0 || style="color:green; font-weight:bold;" | +155.0 || style="color:green; font-weight:bold;" | +434.0 || 351 || 1 || 1 |
| |- | | |- |
| | San Marcuola || 117.8 || style="color:green; font-weight:bold;" | +71.3 || style="color:green; font-weight:bold;" | +83.7 || 1432 || 2 || 6 | | | San Geremia || 99.2 || style="color:green; font-weight:bold;" | +148.8 || style="color:red; font-weight:bold;" | -49.6 || 1082 || 1 || 1 |
| |- | | |- |
| | Santa Fosca || 124.0 || style="color:green; font-weight:bold;" | +620.0 || style="color:green; font-weight:bold;" | +347.2 || 163 || 1 || 1 | | | Santa Fosca || 124.0 || style="color:green; font-weight:bold;" | +620.0 || style="color:green; font-weight:bold;" | +347.2 || 163 || 1 || 1 |
Line 620: |
Line 156: |
| | Santa Maria Maddalena || 124.0 || || style="color:red; font-weight:bold;" | -37.2 || 119 || 0 || 1 | | | Santa Maria Maddalena || 124.0 || || style="color:red; font-weight:bold;" | -37.2 || 119 || 0 || 1 |
| |- | | |- |
| | Santa Maria Nova || 198.4 || || style="color:red; font-weight:bold;" | -111.6 || 183 || 0 || 4
| | ! TOTAL Cannaregio !! 124.0 !! style="color:green; font-weight:bold;" | +124.0 !! 0.0 !! 6016 !! 25 || 31 |
| |-
| | |
| | Santa Sofia || 136.4 || style="color:green; font-weight:bold;" | +155.0 || style="color:green; font-weight:bold;" | +43.4 || 546 || 4 || 6
| |
| |- | |
| | Santi Apostoli || 161.2 || style="color:red; font-weight:bold;" | -62.0 || style="color:red; font-weight:bold;" | -55.8 || 618 || 9 || 2
| |
| |} | | |} |
|
| |
|
Line 643: |
Line 176: |
| |- | | |- |
| | San Mattio || 136.4 || style="color:green; font-weight:bold;" | +31.0 || style="color:red; font-weight:bold;" | -37.2 || 319 || 5 || 1 | | | San Mattio || 136.4 || style="color:green; font-weight:bold;" | +31.0 || style="color:red; font-weight:bold;" | -37.2 || 319 || 5 || 1 |
| | |- |
| | | San Toma || 136.4 || || style="color:green; font-weight:bold;" | +24.8 || 272 || 0 || 2 |
| | |- |
| | | Sant'Aponal || 148.8 || || style="color:green; font-weight:bold;" | +130.2 || 400 || 0 || 2 |
| |- | | |- |
| | San Polo || 161.2 || style="color:red; font-weight:bold;" | -117.8 || || 353 || 1 || 0 | | | San Polo || 161.2 || style="color:red; font-weight:bold;" | -117.8 || || 353 || 1 || 0 |
Line 648: |
Line 185: |
| | San Stin || 124.0 || || style="color:red; font-weight:bold;" | -49.6 || 169 || 0 || 1 | | | San Stin || 124.0 || || style="color:red; font-weight:bold;" | -49.6 || 169 || 0 || 1 |
| |- | | |- |
| | San Toma || 136.4 || || style="color:green; font-weight:bold;" | +24.8 || 272 || 0 || 2
| | ! TOTAL San Polo !! 142.6 !! style="color:red; font-weight:bold;" | -31.0 !! style="color:green; font-weight:bold;" | +31.0 !! 2930 !! 12 !! 7 |
| |-
| |
| | Sant'Aponal || 148.8 || || style="color:green; font-weight:bold;" | +130.2 || 400 || 0 || 2
| |
| |} | | |} |
|
| |
|
Line 666: |
Line 201: |
| |- | | |- |
| ! Parish !! Median Rent !! Widow Owners Rent Median Difference !! Widow Tenants Rent Median Difference !! Properties !! Widow Owned Properties !! Widow Rented Properties | | ! Parish !! Median Rent !! Widow Owners Rent Median Difference !! Widow Tenants Rent Median Difference !! Properties !! Widow Owned Properties !! Widow Rented Properties |
| | |- |
| | |- |
| | | Santa Croce || 111.6 || style="color:red; font-weight:bold;" | -23.2 || style="color:red; font-weight:bold;" | -37.2 || 739 || 26 || 25 |
| | |- |
| | | Santa Maria Mater Domini || 124.0 || style="color:green; font-weight:bold;" | +31.0 || style="color:red; font-weight:bold;" | -31.0 || 152 || 5 || 5 |
| | |- |
| | | Santa Lucia || 86.8 || style="color:green; font-weight:bold;" | +49.6 || || 151 || 8 || 0 |
| | |- |
| | | San Simeon Apostolo || 99.2 || style="color:green; font-weight:bold;" | +334.8 || style="color:red; font-weight:bold;" | -37.2 || 198 || 1 || 3 |
| |- | | |- |
| | San Cassiano || 186.0 || style="color:red; font-weight:bold;" | -86.8 || || 546 || 3 || 0 | | | San Cassiano || 186.0 || style="color:red; font-weight:bold;" | -86.8 || || 546 || 3 || 0 |
Line 672: |
Line 216: |
| |- | | |- |
| | San Giovanni Decollato || 124.0 || style="color:green; font-weight:bold;" | +99.2 || style="color:green; font-weight:bold;" | +12.4 || 98 || 1 || 1 | | | San Giovanni Decollato || 124.0 || style="color:green; font-weight:bold;" | +99.2 || style="color:green; font-weight:bold;" | +12.4 || 98 || 1 || 1 |
| |-
| |
| | San Simeon Apostolo || 99.2 || style="color:green; font-weight:bold;" | +334.8 || style="color:red; font-weight:bold;" | -37.2 || 198 || 1 || 3
| |
| |- | | |- |
| | San Simeon Profeta || 93.0 || || 0.0 || 447 || 0 || 1 | | | San Simeon Profeta || 93.0 || || 0.0 || 447 || 0 || 1 |
| |- | | |- |
| | Santa Croce || 111.6 || style="color:red; font-weight:bold;" | -23.2 || style="color:red; font-weight:bold;" | -37.2 || 739 || 26 || 25
| | ! TOTAL Santa Croce !! 111.6 || style="color:red; font-weight:bold;" | -21.7 || style="color:red; font-weight:bold;" | -31.0 || 3218 || 45 || 36 |
| |-
| |
| | Santa Lucia || 86.8 || style="color:green; font-weight:bold;" | +49.6 || || 151 || 8 || 0
| |
| |-
| |
| | Santa Maria Mater Domini || 124.0 || style="color:green; font-weight:bold;" | +31.0 || style="color:red; font-weight:bold;" | -31.0 || 152 || 5 || 5
| |
| |} | | |} |
|
| |
|
Line 694: |
Line 232: |
| |- | | |- |
| ! Parish !! Median Rent !! Widow Owners Rent Median Difference !! Widow Tenants Rent Median Difference !! Properties !! Widow Owned Properties !! Widow Rented Properties | | ! Parish !! Median Rent !! Widow Owners Rent Median Difference !! Widow Tenants Rent Median Difference !! Properties !! Widow Owned Properties !! Widow Rented Properties |
| | |- |
| | | San Nicolo || 59.9 || style="color:red; font-weight:bold;" | -11.9 || || 1137 || 11 || 0 |
| | |- |
| | | San Gregorio || 86.8 || style="color:red; font-weight:bold;" | -12.4 || style="color:green; font-weight:bold;" | +198.4 || 487 || 6 || 3 |
| |- | | |- |
| | San Raffael || 74.4 || style="color:green; font-weight:bold;" | +576.6 || style="color:red; font-weight:bold;" | -43.4 || 772 || 1 || 7 | | | San Raffael || 74.4 || style="color:green; font-weight:bold;" | +576.6 || style="color:red; font-weight:bold;" | -43.4 || 772 || 1 || 7 |
| |- | | |- |
| | San Barnaba || 124.0 || style="color:red; font-weight:bold;" | -37.2 || style="color:red; font-weight:bold;" | -62.0 || 904 || 3 || 2 | | | Santa Margherita || 99.2 || style="color:red; font-weight:bold;" | -43.4 || style="color:green; font-weight:bold;" | +6.2 || 483 || 3 || 3 |
| |- | | |- |
| | San Basegio || 74.4 || style="color:red; font-weight:bold;" | -37.2 || || 359 || 2 || 0 | | | Sant'Agnese || 111.6 || style="color:green; font-weight:bold;" | +49.6 || style="color:green; font-weight:bold;" | +18.6 || 269 || 2 || 4 |
| |- | | |- |
| | San Gregorio || 86.8 || style="color:red; font-weight:bold;" | -12.4 || style="color:green; font-weight:bold;" | +198.4 || 487 || 6 || 3 | | | San Barnaba || 124.0 || style="color:red; font-weight:bold;" | -37.2 || style="color:red; font-weight:bold;" | -62.0 || 904 || 3 || 2 |
| |- | | |- |
| | San Nicolo || 59.9 || style="color:red; font-weight:bold;" | -11.9 || || 1137 || 11 || 0 | | | San Pantalon || 111.6 || style="color:green; font-weight:bold;" | +111.6 || style="color:green; font-weight:bold;" | +446.4 || 639 || 2 || 1 |
| |- | | |- |
| | San Pantalon || 111.6 || style="color:green; font-weight:bold;" | +111.6 || style="color:green; font-weight:bold;" | +446.4 || 639 || 2 || 1 | | | San Basegio || 74.4 || style="color:red; font-weight:bold;" | -37.2 || || 359 || 2 || 0 |
| |- | | |- |
| | San Vio || 86.8 || style="color:green; font-weight:bold;" | +372.0 || || 233 || 2 || 0 | | | San Vio || 86.8 || style="color:green; font-weight:bold;" | +372.0 || || 233 || 2 || 0 |
| |- | | |- |
| | Sant'Agnese || 111.6 || style="color:green; font-weight:bold;" | +49.6 || style="color:green; font-weight:bold;" | +18.6 || 269 || 2 || 4 | | ! TOTAL Dorsoduro || 86.8 || style="color:red; font-weight:bold;" | -13.6 || style="color:red; font-weight:bold;" | -15.5 || 5835 || 32 || 20 |
| |-
| | |
| | Santa Margherita || 99.2 || style="color:red; font-weight:bold;" | -43.4 || style="color:green; font-weight:bold;" | +6.2 || 483 || 3 || 3
| |
| |} | | |} |
|
| |
|
Line 728: |
Line 269: |
| ! Parish !! Median Rent !! Widow Owners Rent Median Difference !! Widow Tenants Rent Median Difference !! Properties !! Widow Owned Properties !! Widow Rented Properties | | ! Parish !! Median Rent !! Widow Owners Rent Median Difference !! Widow Tenants Rent Median Difference !! Properties !! Widow Owned Properties !! Widow Rented Properties |
| |- | | |- |
| ! Parish !! Median Rent !! Widow Owner Diff !! Widow Tenant Diff !! Total Properties !! Widow-Owned Properties !! Widow-Rented Properties
| | | Ghetto Vecchio || 124.0 || style="color:green; font-weight:bold;" | +12.4 || style="color:red; font-weight:bold;" | -24.8 || 276 || 7 || 5 |
| |-
| |
| | Ghetto Nuovissimo || 148.8 || || style="color:green; font-weight:bold;" | +68.2 || 46 || 0 || 1 | |
| |- | | |- |
| | Ghetto Nuovo || 124.0 || style="color:green; font-weight:bold;" | +105.4 || style="color:red; font-weight:bold;" | -55.8 || 207 || 5 || 2 | | | Ghetto Nuovo || 124.0 || style="color:green; font-weight:bold;" | +105.4 || style="color:red; font-weight:bold;" | -55.8 || 207 || 5 || 2 |
| |- | | |- |
| | Ghetto Vecchio || 124.0 || style="color:green; font-weight:bold;" | +12.4 || style="color:red; font-weight:bold;" | -24.8 || 276 || 7 || 5 | | | Ghetto Nuovissimo || 148.8 || || style="color:green; font-weight:bold;" | +68.2 || 46 || 0 || 1 |
| |}
| |
| | |
| ===Conclusion and interpretation===
| |
| | |
| This analysis highlights the diverse economic situations of widows in 18th-century Venice. Widows who inherited a property after their husband’s death and rented it out often did so at rates above the median rent. Conversely, widows who were tenants were rarely nobles and tended to rent properties at prices below the median rent. This is the case at the city scale and also compared to the median of the parishes.
| |
| | |
| The data does not suggest that widow tenants were marginalized geographically. Even though widow tenants paid lower rent in general, poor parishes do not contain more widows than rich parishes. This pattern might indicate that widows remained within their original communities, benefiting from social or charitable support. While there is no direct evidence of this in the dataset, it is plausible that such support played a role.
| |
| | |
| Widows experience more charity than the rest of the city.
| |
| | |
| We find more widows in proportion in the Ghetto. This might be the consequence of the following socio-cultural dynamic : "There was a tendency to look down upon women who remarried because of concern that they were seeking sexual satisfaction from other men or transferring their late husbands' assets or children to another family." [https://jwa.org/encyclopedia/article/it — Jewish Women's Archive, "Italy in the Early Modern Period"]
| |
| | |
| ==Lack of widows==
| |
| Only a small number of widows were found. Here are two examples of widows that were missed.
| |
| [[File:Chiara_pisani.png | 400px| thumb| right | Properties of Chiara Pisani [https://fdh.epfl.ch/images/1/1f/Chiara_pisani.png] ]]
| |
| ===Widows are only head of the house for a time===
| |
| The relatively small number of widows identified in the records may imply that widowhood as the head of a household was often a temporary state. Widows might have remarried, joined a convent, or come under the care of their sons.
| |
| This is supported by examples from the Catastici, such as: “Nicolò et ISeppo Fratelli Gatto quondam Gerolamo eredi di Cattarina Cavaliera sua madre” (Nicolò and Iseppo Gatto, brothers, sons of the late Gerolamo, heirs of Cattarina Cavaliera, their mother). This suggests that Cattarina, as a widow, was not recorded as an independent head of household for long.
| |
| | |
| | |
| ===Widows are in the Catastici, but with no keyword Case Study : Chiara Pisani===
| |
| '''Chiara Pisani''' was an extremely wealthy widow of the 18th century Venice. She was part of the Pisani family. Accounts of here life mentioned that she was left in charge of a significant fortune after loosing both her father in 1737 and her husband in 1738. [https://venetiancat.blogspot.com/2015/07/peek-into-private-lives-of-venice.html?utm_source=perplexity&m=1] At the time of the Catastici (in 1740) she was 36 years old. Looking for Chiara's name in the Catastici, can give a better idea of how significant her fortune was: in 1740, she was the owner of 36 properties. She is sometimes mentioned as '''Chiara Pisani''', sometimes as the tutelle of her sons, sometimes as the procuartor of her uncle Nicolò Pisani. Her total income from rent was 16,812 lirae. This is about 135 times the median rent of Venice of 124 lirae. '''Chiara Pisani''' was excluded from the rent analysis of widow-owned properties because she had too much impact given the significant outlier she represents.
| |
| | |
| =Discussion, limitations and quality assessments=
| |
| | |
| The analysis conducted on the Catastici and Sommarioni data reveals important insights but is constrained by several methodological and data limitations.
| |
| | |
| The study case of [[#Case Study : Chiara Pisani | Chiara Pisani]] is the perfect example of widow which is only mentioned as one in one out of 39 of her properties. This did not allow the analysis to extract her profile or her data. Her case shows the limitations of this pipeline and support the hypothesis that more widows are present in both the Catastici and the Sommarioni but that this study could not identify yet. It also shows a limitation of the chosen methodology, since once a widow has been identified, her status is not propogated to other entries this widow might own. This conservative approach might be very limiting.
| |
| | |
| Another key issue lies in the small sample size: only 16 cases were identified using the id_napo when examining the heritage between the two registers [[#Results/Heritage analysis | Heritage analysis]]. This amount is insufficient for drawing concrete conclusions about widows. If the keyword "relicta" would have been used for the Catastici in this analysis, more widows would potentially found having a id_napo. Additionally, inconsistencies in standardised sections like "owner_standardised" in the Sommarioni, which still includes spelling variations, makes a comparison harder. The heritage analysis would be more complete if the resulting data would have been used to see how the economic situation of widow changes across time.
| |
| | |
| The methodological tools used, such as [[#Methodology/Heritage analysis| difflib]] for identifying name similarities, while helpful, may have overlooked certain matches, and the narrow scope of the methods applied may not fully capture all the information given in the data. The absence of tenant data in the Sommarioni further restricts the ability to generalize findings, particularly for poorer widows who may be underrepresented in the cadaster.
| |
| | |
| Despite these challenges, the data quality is largely acceptable, though it is important to acknowledge potential errors introduced during the creation of the cadasters and the digitization process. However, combining these historical records with other sources adds quantitaive foundation to an else qualitative analysis.
| |
| | |
| This study's transparency and reproducibility increases its quality, since all analyses are documented and accessible on GitHub. Future research can build on these foundations by broadening the scope to include female-headed households, which might provide a more representative picture of widows in Venice. Exploring broader themes, such as the nobility's control of Venetian real estate, the role of the Catholic Church and charity, marriage laws, community dynamics, migration patterns, and economic activities across districts, can clarify confusing factors and pinpoint causes for observed phenomena.
| |
| | |
| Ultimately, the knowledge bottleneck about Venice in this era limits interpretive potential, but the Catastici and Sommarioni datasets, when combined with additional sources, offer valuable insights that can help enrich the understanding of Venetian widows and their societal contexts.
| |
| | |
| =Conclusion and continuation=
| |
| | |
| '''Conclusion'''
| |
| | |
| After conducting various analysis the most clear trends are the following. In the Catastici cadaster from 1740 not a lot of widows are identifiable as owners or tenants compared to the amount of entries given. The proportion of widows owning or renting properties is higher in the Jewish Ghetto than anywhere else. Compared to this, in the Christian districts, widows rent cheap properties, whilst they own expensive properties. It appears as charity in the Venetian society during this time is low in general but higher towards widows.
| |
| | |
| In 1808 there are more widows mentioned in the Sommarioni cadaster compared to the Catastici from 1740. Most of these widows tend to rent out their property. Only 9 widows are explicitly mentioned as living at their own property. In general the properties held by the widows are smaller than the average size of a property in the given district, which might indicate worse economic situations.
| |
| | |
| | |
| '''Continuation'''
| |
| | |
| This project has been an attempt to collect knowledge on the widows living in Venetian society in 1740 and in 1808. There is still plenty to uncover about how life was for them and possible research areas are described followingly.
| |
| | |
| The functions of the properties owned by widows in the Catastici were not exploited like in the Sommarioni. One could extract those information and compare them to the Sommarioni.
| |
| | |
| When it comes to the heritage analysis, this can be further analysed by using geoemtric matching between the two datasets. By comparing spatial data where id_napo values are unavailable, one could link all the widows mentioned in the Catastici to the Sommarioni, giving more insight into the heritage.
| |
| | |
| This project also wanted to analysis the vocabulary used to qualify owner and tenants, but due to lack of time this analysis had to be set aside. One could explore the usage pattern between consorte and vedova to describe widows and see if any evolution is observed between the Catastici and the Sommarioni.
| |
| | |
| A last aspects that can be further explored are the different case studies of the widows mentioned explicitly in the report, such as Loredana Grimani.
| |
| | |
| =Deliverables=
| |
| The main deliverable of the project are this Wikipedia page where one can find the results of the different analysis conducted during the span of the project and the tools used to extract the different data. For more details, please review the [[#Results | Results ]] section.
| |
| | |
| In addition, all the code used for the analysis can be found in the GitHub repository of this project:
| |
| <p>
| |
| <span style="display: inline-block; padding: 8px 16px; background-color: #EFDABF; color: white; font-weight: bold; border-radius: 4px; margin-right: 10px;">
| |
| [https://github.com/dhlab-class/fdh-2024-student-projects-rich-widows.git Our Github Repository]
| |
| </span>
| |
| </p>
| |
| | |
| =Credits=
| |
| Course: Foundation of Digital Humanities (DH-405), EPFL
| |
| | |
| Professor: Frédéric Kaplan
| |
| | |
| Authors: Eglantine Vialaneix, Nathanaël Lambert, Lisa Marie Njå
| |
| | |
| Date: 18.12.2024
| |
| | |
| =References=
| |
| * [https://www.dropbox.com/scl/fo/tu5waw0623hcp4537lx6u/AKx-eznaH6BRddo1goaF7OE?dl=0&e=1&preview=FDH2024-1-7-VeniceData.pdf&rlkey=jiewdfpk5ysyv92m1817sk5qc&st=01697apo Image of the Venice Datasets] – Retrieved from DH-405 lecture slides
| |
| * [https://en.wikipedia.org/wiki/Fall_of_the_Republic_of_Venice ''Fall of the Republic of Venice''], Wikipedia
| |
| * [https://en.wikipedia.org/wiki/Napoleon ''Napoleon''], Wikipedia
| |
| * [https://historywalksvenice.com/article/the-black-plague/a-chronology-of-the-black-plague-in-venice/ ''A Chronology of the Black Plague in Venice''], History Walks Venice
| |
| * [https://historywalksvenice.com/article/the-republic-of-venice/citizen-of-the-republic-of-venice/ ''Citizen of the Republic of Venice''], History Walks Venice
| |
| * [https://en.wikipedia.org/wiki/Libro_d%27Oro ''Libro d'Oro''], Wikipedia
| |
| * [https://www.ined.fr/fichier/s_rubrique/14653/wall.moring.fr.pdf ''Wall & Moring (PDF)''], INED
| |
| * [https://venetiancat.blogspot.com/2015/07/peek-into-private-lives-of-venice.html?utm_source=perplexity&m=1 ''Peek into Private Lives of Venice''], Venetian Cat Blog
| |
| | |
| = Supplementary Information =
| |
| {| class="wikitable"
| |
| |+ Dictionary of Useful Words and Idioms | |
| |-
| |
| ! Italian !! English !! Description
| |
| |-
| |
| | vedova || widow || Refers to a woman whose husband has passed away.
| |
| |- | |
| | mestiere || profession || A term used to describe one's occupation or trade. | |
| |-
| |
| | parrocchia || parish || [https://www.europenowjournal.org/2023/01/02/new-saints-in-late-mediaeval-venice-1200-1500-a-typological-study-by-karen-e-mccluskey/ Parishes in Venice] were local religious districts, each centered around a parish church. Every house in Venice belonged to a specific parish, forming a network of smaller communities within the larger city.
| |
| |-
| |
| | sestiere || district of Venice || The name given to the [https://blog.viewsonvenice.com/can-you-explain-the-special-italian-venetian-terms-that-i-may-come-across-while-in-venice/ districts of Venice]: San Marco, San Polo, Santa Croce, Dorsoduro (which includes the island of Giudecca), Castello, and Cannaregio.
| |
| |-
| |
| | fratelli || brothers || The plural form of ''fratello'' (brother).
| |
| |-
| |
| | sorelle || sisters || The plural form of ''sorella'' (sister).
| |
| |-
| |
| | ved || widow of || An abbreviation of ''vedova''.
| |
| |-
| |
| | quondam || son/daughter of || Literally means "formerly" or "previously." Often used in historical contexts to indicate lineage.
| |
| |-
| |
| | fratelli quondam || brothers of the father || Refers to a person and their brothers from the same father (e.g., siblings from a deceased patriarch).
| |
| |-
| |
| | fu di || of the late man || Similar to ''quondam'', but explicitly indicates that the father is deceased.
| |
| |-
| |
| | q.m. || abbreviation of quondam || A shorthand version of ''quondam'' used in records and documentation.
| |
| |-
| |
| | sudett-o/-a/-i || part of another place || Indicates that certain rows in a table belong to one geographical or administrative area.
| |
| |- | | |- |
| | consorte || married with || Indicates a spouse, often implying the husband is deceased. | | ! TOTAL Ghetto || 124.0 || style="color:green; font-weight:bold;" |+18.6 || style="color:red; font-weight:bold;" | -37.2 || 529 || 12 || 8 |
| |- | | |- |
| | della fu || of the late woman || Used to indicate lineage or connection to a deceased mother.
| |
| |} | | |} |