Reconstructie » Christiaan Tollenaar

Christiaan Tollenaar

14 observaties · mediaan 76 · geboren 1825-01-10 · overleden 1885-01-04 · beroep geen

URI: https://www.goudatijdmachine.nl/id/reconstructie-40e4a390-85f9-495b-93bb-b6b759e32239

Deze persoonsreconstructie is machinaal samengesteld; zie de documentatie en is kok beschikbaar als RDF (Accept: text/turtle).

Leden Bewijs Relaties


Leden = persoonsvermeldingen

naamgebovllftberoep bronjaarzekerheidmin edge
Christiaan Tollenaar 1825-01-10 samh 1825 77 50
Christiaan Tollenaar 1825-01-10 oa:bevolkingsregister 1860 76 56
Christiaan Tollenaar 1825-01-10 oa:militie 76 56
Christiaan Tollenaar 1825-01-10 oa:bevolkingsregister 1860 76 56
Christiaan Tollenaar 1825-01-10 oa:bevolkingsregister 76 56
Christiaan Tollenaar 1825-01-10 oa:bevolkingsregister 1850 76 56
Christiaan Tollenaar 1825-01-10 oa:bevolkingsregister 1850 76 56
Christiaan Tollenaar 1825-01-10 oa:bevolkingsregister 1850 76 56
Christiaan Tollenaar 1825-01-10 oa:militie 1844 76 56
Christiaan Tollenaar 25 oa:burgerlijkestand 1850 69 56
Christiaan Tollenaar 25 oa:burgerlijkestand 1850 69 56
Christiaan Tollenaar 1885-01-04 oa:burgerlijkestand 1885 57 50
Christiaan Tollenaar 1885-01-04 oa:burgerlijkestand 1885 57 50
Christiaan Tollenaar 4 Geen volkstelling1830 1830 55 50

Bewijs = paren binnen de reconstructie

paarscorefeatures
1000478231 ↔ 1000547690 127 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6, spouse_given_overlap: +20, father_given_match: +15, mother_given_match: +15, second_order_relation: +15
2016538 ↔ 1000478231 101 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, father_given_match: +15, mother_given_match: +15, second_order_relation: +15
2016538 ↔ 1000547690 101 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, father_given_match: +15, mother_given_match: +15, second_order_relation: +15
1000337769 ↔ 1000421521 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000392873 ↔ 1000448495 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000336378 ↔ 1000337769 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000326501 ↔ 1000421521 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000336378 ↔ 1000543580 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000392873 ↔ 1000421521 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000326501 ↔ 1000543580 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000326501 ↔ 1000448495 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000421521 ↔ 1000543580 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000392873 ↔ 1000543580 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000421521 ↔ 1000473125 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000336378 ↔ 1000392873 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000336378 ↔ 1000448495 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000326501 ↔ 1000337769 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000337769 ↔ 1000392873 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000326501 ↔ 1000392873 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000336378 ↔ 1000421521 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000337769 ↔ 1000448495 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000337769 ↔ 1000473125 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000448495 ↔ 1000543580 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000336378 ↔ 1000473125 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000326501 ↔ 1000473125 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000392873 ↔ 1000473125 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000448495 ↔ 1000473125 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000421521 ↔ 1000448495 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000326501 ↔ 1000336378 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000337769 ↔ 1000543580 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000473125 ↔ 1000543580 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
2016538 ↔ 1000337769 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
2016538 ↔ 1000473125 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
2016538 ↔ 1000421521 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
2016538 ↔ 1000326501 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
2016538 ↔ 1000448495 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
2016538 ↔ 1000336378 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
2016538 ↔ 1000543580 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
2016538 ↔ 1000392873 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
1000369171 ↔ 1000552352 76 gender_same: +0, surname_exact: +25, given_exact: +25, death_day_exact: +20, place_name_match: +6
1000478231 ↔ 1000543580 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
1000448495 ↔ 1000547690 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
1000336378 ↔ 1000547690 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
1000326501 ↔ 1000478231 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
1000473125 ↔ 1000547690 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
1000337769 ↔ 1000478231 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
1000421521 ↔ 1000547690 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
1000337769 ↔ 1000547690 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
1000473125 ↔ 1000478231 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
1000421521 ↔ 1000478231 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
1000392873 ↔ 1000547690 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
1000392873 ↔ 1000478231 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
1000326501 ↔ 1000547690 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
1000543580 ↔ 1000547690 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
1000336378 ↔ 1000478231 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
1000448495 ↔ 1000478231 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
1000369171 ↔ 1000392873 56 gender_same: +0, surname_exact: +25, given_exact: +25, place_name_match: +6
1000369171 ↔ 1000543580 56 gender_same: +0, surname_exact: +25, given_exact: +25, place_name_match: +6
1000326501 ↔ 1000369171 56 gender_same: +0, surname_exact: +25, given_exact: +25, place_name_match: +6
1000473125 ↔ 1000552352 56 gender_same: +0, surname_exact: +25, given_exact: +25, place_name_match: +6
6420 ↔ 1000473125 56 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6
6420 ↔ 1000337769 56 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6
6420 ↔ 1000448495 56 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6
6420 ↔ 1000547690 56 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6
6420 ↔ 1000326501 56 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6
1000369171 ↔ 1000478231 56 gender_same: +0, surname_exact: +25, given_exact: +25, place_name_match: +6
6420 ↔ 1000421521 56 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6
6420 ↔ 2016538 56 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6
1000337769 ↔ 1000369171 56 gender_same: +0, surname_exact: +25, given_exact: +25, place_name_match: +6
1000369171 ↔ 1000421521 56 gender_same: +0, surname_exact: +25, given_exact: +25, place_name_match: +6
1000369171 ↔ 1000448495 56 gender_same: +0, surname_exact: +25, given_exact: +25, place_name_match: +6
1000448495 ↔ 1000552352 56 gender_same: +0, surname_exact: +25, given_exact: +25, place_name_match: +6
6420 ↔ 1000336378 56 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6
1000369171 ↔ 1000547690 56 gender_same: +0, surname_exact: +25, given_exact: +25, place_name_match: +6
1000336378 ↔ 1000552352 56 gender_same: +0, surname_exact: +25, given_exact: +25, place_name_match: +6
1000421521 ↔ 1000552352 56 gender_same: +0, surname_exact: +25, given_exact: +25, place_name_match: +6
1000337769 ↔ 1000552352 56 gender_same: +0, surname_exact: +25, given_exact: +25, place_name_match: +6
1000547690 ↔ 1000552352 56 gender_same: +0, surname_exact: +25, given_exact: +25, place_name_match: +6
1000478231 ↔ 1000552352 56 gender_same: +0, surname_exact: +25, given_exact: +25, place_name_match: +6
1000543580 ↔ 1000552352 56 gender_same: +0, surname_exact: +25, given_exact: +25, place_name_match: +6
1000369171 ↔ 1000473125 56 gender_same: +0, surname_exact: +25, given_exact: +25, place_name_match: +6
6420 ↔ 1000478231 56 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6
1000392873 ↔ 1000552352 56 gender_same: +0, surname_exact: +25, given_exact: +25, place_name_match: +6
6420 ↔ 1000392873 56 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6
6420 ↔ 1000543580 56 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6
1000326501 ↔ 1000552352 56 gender_same: +0, surname_exact: +25, given_exact: +25, place_name_match: +6
1000336378 ↔ 1000369171 56 gender_same: +0, surname_exact: +25, given_exact: +25, place_name_match: +6
2016538 ↔ 1000369171 50 gender_same: +0, surname_exact: +25, given_exact: +25
2016538 ↔ 1000552352 50 gender_same: +0, surname_exact: +25, given_exact: +25
6420 ↔ 1000552352 50 gender_same: +0, surname_exact: +25, given_exact: +25
6420 ↔ 1000369171 50 gender_same: +0, surname_exact: +25, given_exact: +25

Relaties

relatiemetsupport
kind van Nela van Leen 3
partner Maria Elizabeth Bakker 2
kind van Jozina Tollenaar 3

De Gouda Tijdmachine is een initiatief van Historische Vereniging Die Goude en Streekarchief Midden-Holland.