This dataset contains polygons that correspond to the South London Natural Experiment attribute data compiled by Coleman (2019). The data is only available for 28 subdistricts. The rest of the observations were excluded given that there was no attribute data. The resulting (now projected) map consists of the 28 adjacent subdistricts, as described below.
The documentation is available at:
The Geoda script is available at:
Overview of data
| Variable | Description |
|---|---|
| dis_ID | London district ID |
| district | London district |
| sub_ID | London subdistrict ID |
| subdist | London subdistrict |
| pop1851 | Population for 1851 |
| supplier | Water company suppliers that served the subdistrict |
| supplierID | Water company supplier ID |
| perc_sou | Proportion of the population that was served by the Southwark & Vauxhall company |
| perc_lam | Proportion of the population that was served by the Lambeth company |
| perc_other | Proportion of the population that was served by a company other than Southwark & Vauxhall or Lambeth |
| lam_degree | Creates categories for the proportion of the population that was served by the Lambeth company |
| d_overall | Number of deaths attributed to the cholera epidemic in the seven weeks ending August 26, 1854 |
| d_sou | Number of deaths attributed to the cholera epidemic in the seven weeks ending August 26, 1854 for the Southwark & Vauxhall company |
| d_lam | Number of deaths attributed to the cholera epidemic in the seven weeks ending August 26, 1854 for the Lambeth company |
| d_pump | Number of deaths attributed to the cholera epidemic in the seven weeks ending August 26, 1854 originating in pump-wells |
| d_thames | Number of deaths attributed to the cholera epidemic in the seven weeks ending August 26, 1854 from water from the Thames River and ditches |
| rate_sou7w | Southwark & Vauxhall cholera death rate per 10000 people in the seven weeks ending August 26, 1854 |
| rate_lam7w | Lambeth cholera death rate per 10000 people in the seven weeks ending August 26, 1854 - Missing values are undefined and should not be converted to 0 |
| rate_oth7w | Cholera death rate per 10000 people for ‘other’ category in the seven weeks ending August 26, 1854 - Missing values are undefined and should not be converted to 0 |
| deaths1849 | Number of deaths attributed to the cholera epidemic in 1849 |
| deaths1854 | Number of deaths attributed to the cholera epidemic in 1854 |
| rate1849 | Cholera death rate per 10000 people in 1849 |
| rate1854 | Cholera death rate per 10000 people in 1854 |
| pop1849 | Population for 1849 |
| pop1854 | Population for 1854 |
| rAvSupR_49 | Average supplier-region-specific cholera mortality rate per 10000 people in 1849 |
| rAvSupR_54 | Average supplier-region-specific cholera mortality rate per 10000 people in 1854 |
| pred_Snow | Snow’s cholera death count prediction (from his 1856 Table VI) |
| pred_DiD49 | Cholera death count prediction from Difference-in-Difference regression analysis for 1849 |
| pred_DiD54 | Cholera death count prediction from Difference-in-Difference regression analysis for 1854 |
References
Coleman, T. (2019). Causality in the Time of Cholera: John Snow as a Prototype for Causal Inference. Working paper. Available at SSRN at https://papers.ssrn.com/abstract=3262234. Data can be downloaded from https://github.com/tscoleman/SnowCholera (last accessed September 2, 2020).
Prepared by Center for Spatial Data Science. Last updated February 1, 2021. Data provided “as is,” no warranties.