Forgot your Password?

"Donor" Sub-Districts

The 1852 Census of Upper and Lower Canada:
Proposed Oversampling Strategy, and Discussion

Selection of "Donor" Sub-Districts

Since characteristics varied from sub-district to sub-district, in part as a result of the timing of settlement, we would like to match each missing sub-district and division with a similar, geographically-proximate sub-district and division. To do so, we are entering into a spreadsheet information from the 1852 aggregate census statistics for districts which contain a missing sub-district. The information we are entering includes:

  • Total population
  • Birthplace (English, Scottish, Irish, French-Canada, U.S., other natives of Canada, other)
  • Religion (Anglican, Presbyterian, Catholic, Methodist, Baptist, other)
  • Sex ratio
  • Number of families in the sub-district (to determine average family size per sub-district)
  • Number of dwellings in the sub-district (to determine average dwelling size per sub-district)
  • Male births in 1851
  • Female births in 1851
  • Males & females under 5 years
  • Males & females 20-30 years by marital status
  • Males & females 50-60 years by marital status
  • Marital status by sex
  • Total occupants of farm land
  • Occupants of 50 to 100, 100-200 and 200+ acres of farmland
  • Number of acres owned; under cultivation; sowed; in pasture; garden; woodland (to calculate % of land improved)
  • Number of wheat mills; sawmills; carding mills; woollen mills; distilleries; tanneries; foundries; breweries; and the number of employees for each type (to roughly quantify industrial activity per sub-district)
  • Number of dwellings classed as: stone; brick; wood; blocks; and shanty
  • Number of shops; stores; inns; schools; public buildings
  • (we cannot use occupations since they were only listed by district)

We plan to calculate percentage distributions of these socio-demographic characteristics by sub-district and division within districts, in the hopes of distinguishing suitable "donor" sub-districts. We would create a matching score and accept as a donor the sub-district with the highest matching score.

Resulting oversampled (or I should say extra-sampled) cases would be identified by a SAMPRULE variable, allowing us to determine the impact of including extra-sampled cases on the distribution of characteristics for each whole district and giving users the option of including or not including extra-sampled cases in their analyses.

We would like to be able to locate all sub-districts and divisions on a map; so far, we have found a map of 1852 census districts and sub-districts for the region of Montréal (20 districts) in Serge Courville, ed., Paroisses et Municipalités de la Région de Montréal au XIXe Siècle (1825-1861) Québec: Les Presses de l'Université Laval, 1988) and another map of Québec census districts in the Atlas Historique du Québec: Population et Territoire.

I welcome your feedback on this proposal

Lisa Dillon

Last updated: 8/31/2010

Copyright © Département de démographie (UdeM)
All rights reserved