Digital mapping for the humanities and the social sciences - HIST8872
  • Overview
  • Syllabus
  • Instructions
  • Intro to R
  • Case-studies
    • The Paisley Dataset
    • 19th-c. Spanish literacy
    • The State of the Union Speeches
    • The Tudor Network of Letters
  • Other sources
  • Further readings

On this page

  • Further references

Case-study 3: Literacy in 19th-century Spain

This case-study relies on the report published by authorities that summarised the information collected in the 1860 Spanish Population Census. In particular, it focuses on the number of men and women living in each Spanish district (partido judicial) classified according to whether they were illiterate, able to read or able to read and write.

Figure 1: 1860 Population Census. Summary by districts (province of Zaragoza).

As the figure above illustrates, this source presents mostly numerical information, neatly structured in rows and columns, that can be easily transferred to a digital version. The sources contains information on the number of municipalities and households in each district, how many household (or the number the total number of men and wom

This is a very simple file reporting the number of individuals

Inputing the raw data into an Excel spreadsheet results in Figure 2 below. Each column, known as field or variable presents a piece of information. As well as the case number (casen) and the date of admission (information that is split in two fields: month and year), the source records several pieces of information about these inmates, such name and surname, sex, age, place of birth (born) and country of birth (countryb), the place where the were living before being imprisoned (reside), height (in feet and inches) and weight, occupation (occup) and whether they were employed or not. It also reports their literacy, the marks that were visible in their bodies, the offence they committed and the sentence they received. While the first row displays the name of these variables, the remaining rows are devoted to each individual in the dataset.

Figure 2: Digital version of the Paisley data (Excel file).

Who were these prisoners? Where they were coming from? Did prisoners’ occupations differ significantly from the rest of the population? What about literacy rates? Did men and women commit different crimes? Did judges treat everyone equally or did particular groups suffer harsher sentences? What explains the variation in stature and weights observed across prisoners? How did theses dimensions change during the period? The range of historical questions that this source can address is almost endless. Sarah Horrell, David Meredith and Deborah Oxley have relied on this information to significantly contribute to our understanding of 19th-century British society, especially regarding the biological living standards of the working classes and the gender dynamics that drove the allocation of resources within these families [Horrell and Oxley (2013); Meredith and Oxley (2015)).1 We strongly encourage reading those pieces to get to know more about the source and its possibilities. Bear in mind that, for practical reasons, we will rely on a subset of the full data set, containing a thousand prisoners.2

This type of source allows exploring many historical questions:

  • How did the biological living standard of living change during the period?

  • What explains the variation in stature observed across prisoners?

  • Did prisoners’ occupations differ significantly from the rest of the population?

  • What about literacy rates?

  • Did men and women commit different crimes?

  • Did judges treat everyone equally or did particular groups suffer harsher sentences?

  • …

District-level information (464 observations; partido judicial) on:

  • Literacy and education: schoolteachers (male and female), school enrollment (boys and girls) and literacy rates (ability to read and write) for men and women. Data

  • Occupations: number of individuals working on different occupational groups (i.e. landowners, landless labourers, tenants, factory workers, miners, artisans, liberal occupations, clergy, army, etc.). Data

  • Age structure, marital status and migrants: number of males and females classified by age-group (i.e. 0–1, 1–5, 6–10, etc.), number of singles, married and widows (by sex) and number of migrants (transeuntes). Data

  • Settlement pattern: number of households and municipalities plus the number of different type of settlements (i.e. ciudades, villas, lugares, aldeas, grupos and caseríos). Data

  • Shapefile with administrative boundaries.

Figure 3: Male and female literacy rates, 1860.

Further references

Horrell, Sarah, David Meredith, and Deborah Oxley. 2009. “Measuring Misery: Body Mass, Ageing and Gender Inequality in Victorian London.” Explorations in Economic History 46: 93–119.
Horrell, Sarah, and Deborah Oxley. 2013. “Bargaining for Basics? Inferring Decision Making in Nineteenth Century British Households from Expenditure, Diet, Stature, and Death.” European Review of Economic History 17: 147–70.
Meredith, David, and Deborah Oxley. 2015. “Blood and Bone: Body Mass, Gender and Health Inequality in Nineteenth-Century British Families.” The History of the Family 20 (2): 204–30.

Footnotes

  1. In a seminal paper, Sarah Horrell and Deborah Oxley had previously addressed these issues using similar registers from the Wandsworth prison, near London (Horrell, Meredith, and Oxley 2009).↩︎

  2. We are extremely grateful to Deborah Oxley and Hamish Maxwell-Stewart for kindly sharing the Paisley dataset.↩︎