Remove Analytics

Arie SLOOT

b. 1887
p. Egmond aan Zee, , Noord-Holland, Netherlands
d.
p.

Engel SLOOT

b. 1862
p. Egmond aan Zee, , Noord-Holland, Netherlands
d.
p.
10 Jan 1885

Leendert SLOOT

b. 1827
d. 30 Sep 1887

Engel SLOOT

b. 1802
d.

Pieter SLOOT

b.
d.

Trijntje DEKKER

b. 12 Sep 1770
d. 31 Jan 1833

Engeltje BLOK

b. 1802
d.

Leendert BLOK

b.
d.

Arejaantje de VRIJ

b.
d.

Matje DEKKER

b. 1826
d. 14 Apr 1888

Gerrit Cornelisz DEKKER

b. 1792
d. 6 Jun 1871

Cornelis Engelsz DEKKER

b.
d.

Willempie de RUITER

b.
d.

Afie Pieters KOMEN

b. 1798
d. 24 Feb 1886

Pieter KOMEN

b. 1776
d. 30 Sep 1807

Maartje Cornelis CASTRICUM

b. 1771
d. 10 Jul 1806

Aagie GOUDA

b. 1864
p. Egmond aan Zee, , Noord-Holland, Netherlands
d.
p.
10 Jan 1885

Engel GOUDA

b. 1838
d.

Arie GOUDA

b. 1808
d.

Arie GOUDA

b.
d.

Agie DUIN

b.
d.

Gerritje BAAS

b. 1808
d.

Fulps BAAS

b.
d.

Grietje GERRIDS

b.
d.

Trijntje SLOOT

b. 1834
d.

Teunis SLOOT

b.
d.

Kniertje VISSER

b.
d.

Marriage(s):
Gerrit GLAS
m: on 24 Nov 1915 in Egmond aan Zee, , Noord-Holland, Netherlands.



PIKWA - Performance Indicator Kwartierstaat

These Charts show the relative state of completion of an individual's Pedigree Chart. It compares the number of vital statistics currently found to the total required to fill ten generations out from the chosen person.

The PIKWA concept was developed by Otto P. van Driel in The Netherlands.
Adapted to our Pedigree Charts by Rob Vanderplas

Combined

2

(5/7) 71%

3

(12/14) 85%

4

(19/28) 67%

5

(18/56) 32%

6

(2/112) 1%

7

(0/224) 0%

8

(0/448) 0%

9

(0/896) 0%

Tot:

(56/1785) 3%

People

2

(2/2) 100%

3

(4/4) 100%

4

(8/8) 100%

5

(12/16) 75%

6

(2/32) 6%

7

(0/64) 0%

8

(0/128) 0%

9

(0/256) 0%

Tot:

(28/510) 5%

Birth Dates

2

(2/2) 100%

3

(4/4) 100%

4

(6/8) 75%

5

(3/16) 18%

6

(0/32) 0%

7

(0/64) 0%

8

(0/128) 0%

9

(0/256) 0%

Tot:

(15/510) 2%

Marriage Dates

2

(1/1) 100%

3

(2/2) 100%

4

(3/4) 75%

5

(0/8) 0%

6

(0/16) 0%

7

(0/32) 0%

8

(0/64) 0%

9

(0/128) 0%

Tot:

(6/255) 2%

Death Dates

2

(0/2) 0%

3

(2/4) 50%

4

(2/8) 25%

5

(3/16) 18%

6

(0/32) 0%

7

(0/64) 0%

8

(0/128) 0%

9

(0/256) 0%

Tot:

(7/510) 1%