Demography

Genealogical Sources in Economic History 2024 Hosted by the Department of Economic History, LSE Organised by Neil Cummins and Eric Schneider (LSE) 3 & 4 June 2024, LSE https://www.lse.ac.uk/Economic-History/HED/Workshops/Genealogical-sources-in-economic-history Workshop programme 3rd June 10am-12noon: Migration Guillaume Blanc, University of Manchester “Malthusian Migrations” Andrea Colasurdo, Max Planck Institute for Demographic Research “Long term trends in transnational kin networks in Europe and the US: 1700-1900” Miriam Manchin, University College London “Fields and Foreign Lands: Pre-industrial Climate Risk and International Migration”

Fertility based on the database Kråken. The area that is covered is maily northern Ångermanland and southern Västerbotten so many fertile people from for example Skellefteå is missing. I know of at least one woman from Skellefteå with 21 children. The woman with most children, Maria Lovisa Johansdotter,Spöland, had her 22 children Nils Petter Hurtig Olofsson, Vännfors, who had 23 children. The male competition ends with a draw between Erik Nyberg Eriksson, Nyåker, and Mikael Mikaelsson, Armsjö with 29 children each, both with 2 partners.

The maps illustrates the impact of the “Örträsk Finns” on the interior of Västerbotten by three maps showing how their descendants spread. It is based on the database Kråken which is not compleatly finished for all of Västerbotten but it can anyway give a rough picture of how they spread over the land. For illustration three of the founding fathers are used namely: Johan Philipsson Hilduinen ca 1620-1697 Mårten Hindersson ca 1625-1697 Erik ca 1640 only known from his two sons Erik and Håkan The first map shows the proportion of the persons born 1890-1930 who descend from them.

I have been interviewd the paper Dialog regarding the grant I got from Kommuninvest for a two year microsimulation project. Here is a link to the whole paper: https://kommuninvest.se/wp-content/uploads/2018/10/Dialog-3-2018-Uppslag.pdf

**Vad är problemet?** Hälsan påverkas av många olika faktorer som livsstil, familjenätverk, genetik och socio-ekonomisk situation. Effekten av dessa faktorer påverkar hälsan under hela livsförloppet och överförs även mellan generationer. Detta gör att det är svårt att uppskatta effekten av de olika faktorerna på hälsan då det kräver data som belyser alla dessa faktorer. **Vad hoppas vi kunna uppnå?** I detta projekt kombineras databaser som belyser effekten av hur överföring mellan generationer och i familjenätverk påverkar hälsan. Dessa databaser innehåller uppgifter från kyrkböcker, moderna registerdata och mätningar av biomarkörer. På detta sätt kan effekten av överföring mellan generationer och familjenätverk studeras.