The supplemental .zip archive for the research article “Exploring the mortality advantage of Jewish neighbourhoods in mid-nineteenth century Amsterdam” by Tim Riswick, Katalin Buzasi and Sanne Muurling (Radboud University, Nijmegen) published in Demographic Research contains the following files. R version used: 4.1.1. 1. Comma-delimited file, variables DATA.csv 2. R program file to replicate Figure 2 and Table 1 analysis.R Remark: Figure 1 has been created manually (without codes) in QGIS (version: 3.16.11). The underlying shapefile has been obtained through https://adamlink.nl/data. The variables used for the map are “av_cdr” and “jewish_neighb2” in the “DATA.csv” file. As explained in the article, the analysis file (DATA.csv) consists out of a combination of several sources, which is explained below in the list of variables. The Amsterdam Cause-of-death Database (ACD) is one of the main sources, which is still under construction at the moment. We expect the full database - covering individual-level causes-of-death of the 625.563 people who died in Amsterdam in the period 1856-1940 - to be published fully open acces in 2024. Until that time access can be provided by emailing to: angelique.janssens@ru.nl The following variables are used for the figures and regressions: 1. neighborhood Identification label of neighborhoods used in administration, see for instance http://www.amsterdamhistorie.nl/kaarten/ 2. av_cdr Crude death rate averaged out over the period 1867-70. Crude death rate is the number of deaths by 10,000 residents. Source: ACD 3. av_idr Infant death rate averaged out over the period 1867-70. Infant death rate is the number of infant deaths (age below 1 year) by 10,000 residents. Due to data unavailability at the neighborhood level we could not calculate this death rate by live births. Source: ACD 4. av_resp_dr Death rates by 10,000 residents due to respiratory causes averaged out over the period 1867-70. Source: ACD 5. av_diarrh_dr Death rates by 10,000 residents due to diarrheal causes averaged out over the period 1867-70. Source: ACD 6. cholera_DR Death rate by 10,000 residents due to cholera in 1866. Source: ACD 7. smallpox_DR Death rate by 10,000 residents due to smallpox in 1871. Source: ACD 8. jewish_neighb2 Binary variable coded as 1 if the share of household heads who identified as Jewish is above 50%. Source: 1851 Bevolkingsregister, data are available at https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:56559 9. dens_1869 Housing density is the average number of people by inhabitable building by neighborhood. The number of buildings is obtained from the census in 1869. Source: http://www.volkstellingen.nl/nl/volkstelling/jaarview/1869/index.html 10. hospital Binary variable coded as 1 if at least one hospital was located in the neighborhood around 1871. Source: authors’ own compilation from multiple sources. 11. birth_rate_Isr Birth rate by Israëls (1862). This value can be understood as how many residents on average “produce” one live birth. The higher the value, the lower the number of live birth by resident. Source: Israëls, A. H. De sterfte der kinderen in de drie eerste jaren des levens te Amsterdam, in de jaren 1850-1859. Ned Tijdschr Geneeskd. 1862;6:289-99” available at https://www.ntvg.nl/artikelen/de-sterfte-der-kinderen-de-drie-eerste-jaren-des-levens-te-amsterdam-de-jaren-1850-1859 12. wealth_Isr The wealth status of neighborhoods by Israëls (1862). 13. poor Binary variable coded as 1 if the wealth status by Israëls is “poor”. 14. rather_poor Binary variable coded as 1 if the wealth status by Israëls is “rather poor”. 15. rather_wealthy Binary variable coded as 1 if the wealth status by Israëls is “rather wealthy”. 16. Wealthy Binary variable coded as 1 if the wealth status by Israëls is “wealthy”.