Latin American Pre-Modern Lifespans (19 Samples)

Latin American Pre-Modern Lifespans (19 Samples) · Female and Premodern Lifespans, Dominican and Franciscan (More than One Saint)

Dukes of Albuquerque

c. 1443 – 1 November[1] 1492

Beltrán de la Cueva, 1st Duke of Alburquerque

25 August 1467 – 4 June 1526

Francisco Fernández de la Cueva, 2nd Duke of Alburquerque

c. 1478 - 11 February 1560

Beltrán de la Cueva, 3rd Duke of Alburquerque

c. 1510 – 1563

Francisco Fernández de la Cueva, 4th Duke of Alburquerque

ca. 1515 – 1571

Gabriel de la Cueva, 5th Duke of Alburquerque

Cuéllar, 1551-Madrid, 13 de marzo de 1612

Beltrán III de la Cueva y Castilla

Cuéllar, 1575-Madrid, 18 de julio de 1637

Francisco Fernández de la Cueva (m. 1637)

Barcelona, 1619 - Madrid, 27 de marzo de 1676

Francisco Fernández de la Cueva y Enríquez de Cabrera / 8th Duke of Alburquerque

Madrid, 2 de marzo de 1625-Madrid, 21 de octubre de 1686

Melchor Fernández de la Cueva y Enríquez de Cabrera

Génova, 17 de noviembre de 1666-Madrid, 23 de octubre de 1733

Francisco Fernández de la Cueva y de la Cueva

Madrid, 28 de septiembre de 1692-Hortaleza, 23 de junio de 1757

Francisco Fernández de la Cueva y de la Cerda

Mayors of Santiago

1482 – September 1542

Gómez de Alvarado

born c.1480 Badajoz, Extremadura, Spain – died Madrid 1540 or 1541

Jorge de Alvarado

1505–1551

Luis de Moscoso Alvarado

born 1748, Noyelles-sur-Selle, Flanders – died 1807 Quito, Ecuador

Francisco Luis Héctor de Carondelet

1486 – 1556

Diego de Holguín

Badajoz, c. 1515-Imperio español, c. 1557

Juan Núñez de Prado

1500–1543

Diego de Roxas

1523 – 1565

Juan Vázquez de Coronado

42 42 43 46 49 51 53 57 58 59 60 61 61 61 62 64 66 70 91
41 42 43 46 49 51 53 56 58 59 60 60 60 61 61 64 66 69 91
01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19

1 5/6 10 14/15 19

Min 41 or 42
Lower quartile 49/51
Median 59
Higher quartile 61 or 61/62
Max 91

PS : In case you wonder about the soundness of my method, take a look at this:

Clean-up and analysis of small datasets can distort conclusions
by Royal Truman | This article is from
Journal of Creation 36(2):66–71, August 2022
https://creation.com/analyzing-small-datasets

Why is my work fairly safe? 1) while the data set on each statistic I give is small, my overall data set by now is c. 600 - 1000 pre-industrial-revolution lifespans; 2) I don't do clean-up, I give the outliers; 3) I don't claim my results are complete, just that they are significant. This overview has what I call "professional bias" which doesn't mean I grant people with professions like Mayor of Santiago or Duke of Albuquerque longer lifespans, because I like the profession, though in fact I find both occupations very honourable. It means, when a statistic involves people exercising a profession, in pre-modern times it usually excludes women and always those who die as children. Still, it may be relevant to know you weren't "old at 40" as some would pretend from including child mortality into average lifespan, and then claim anything above medium lifespan is "old" ...