Women and Property 1784-1790 Overview Data: North Riding Register of Deeds

Published: 20 August 2020| Version 2 | DOI: 10.17632/4vgfdd6pjw.2


Research hypothesis was to use the Registers of Deeds for the North Riding of Yorkshire (held at North Yorkshire County Record Office, Northallerton, England) to advance knowledge about women's involvement with property transfer and the wider property market in the 18th & 19th centuries. Registers began in 1736 and ceased in 1970; there are 89 Index Ledgers and 2,328 Deeds Registers. The system for recording data changed in 1885 so one Index Ledger was selected from pre/ post this date and 100 years apart to incorporate impact of Marriage Acts. Stage 1 - Two Index Ledgers were transcribed in full: 1) Index of Lands Vol 9 (1784-90) covers a seven-year period and contains 6,868 unique transactions (31,966 lines); and 2) Index of Lands 1885-1889 covers a five-year period and contains 14,481 unique transactions (52,741 lines). Each line represents a person's name. Core data from Index showed Township, unique reference and names of parties, but the 18th century Index Ledger did not show date of transaction or all parties. To analyse by gender this information was required so was added by using the Deeds Registers. Information from the individual Deeds Registers was then used to add to the core datasets: Stage 2 - The gender of all parties ('male', 'female' and 'not applicable' (for businesses) was added. Stage 3 - The usual residence, occupation (if any), marital status and any details of family relationships or inheritance rights of every women was added. Stage 4 - The 18th century dataset was then reduced to a five-year period covering 1785-1789 ONLY to provide a direct comparison with the 19th century dataset. Comparative analysis by: gender, marital status and number of transactions. Each transaction has a unique reference number but can contain multiple parties and cover more than one township. To identify the true number of transactions, the data had to be controlled for these factors. A control for uniqueness was also required for those individuals and organisations involved in multiple transactions and to avoid assuming that everyone with the same name was actually the same person. Where women were involved, additional data e.g. marital status, residence or family relationships was used to differentiate between like women. **This is the analysis overview, showing statistics by gender (full dataset) and by unique people (full dataset). Then statistics for ALL FEMALES by marital status; and then UNIQUE FEMALES by marital status.**


Steps to reproduce

Using 1784-1790 dataset, carry out the following actions to reproduce: 1a. Total number of entries = Total number of lines less header line; 1b. Breakdown by Gender = As 1a. above then sort/ filter by Gender; total lines for each category; 2. No. of unique entries = As at 1a. above; then remove duplication using Vol/page/number in sort function; 3a. Number of unique people = As at 1a. above; then remove duplication by Surname & First Name; 3b. Breakdown by Gender (Unique People) = As at 3a. above; then sort/ filter by Gender; total lines for each category; 4a. Breakdown by Marital Status of Women = As at 1b. above; filter for Female only; filter by each marital status category; 4b. Breakdown by Marital Status of Unique Women = As at 3b. above; filter for Female only; filter by each marital status category;


Teesside University


Inheritance, England, Land Ownership, Women's History