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Teetje STAM

b. 1879
p. Oudkarspel, , Noord-Holland, Netherlands
d. 17 May 1939
p. Alkmaar, , Noord-Holland, Netherlands

Cornelis STAM

b. 16 Sep 1854
p. Oudkarspel, , Noord-Holland, Netherlands
d.
p.
4 May 1877

Cornelis Reijersz STAM

b. 3 Mar 1821
d. Aft 1873

Reijer STAM

b. Abt 1779
d.

Cornelis Jansz STAM

b. 23 Oct 1746
d. 17 Jul 1810

Maartje Jansd KOETEN

b. 18 Mar 1753
d. 5 Oct 1819

Aaltje Jans BROERSEN

b.
d.

Teetje VLAM

b. 29 Mar 1822
d. 17 Dec 1859

Elsje KUILMAN

b. 1855
p. Harenkarspel, , Noord-Holland, Netherlands
d.
p.
4 May 1877

Jacob KUILMAN

b. 1828
d.

Cornelis Jacobsz KUILMAN

b. 1804
d. 1 Oct 1871

Jacob Pietersz KUILMAN

b. 1775
d. 21 Jul 1830

Cornelisje "Crelisje" KOOIJ

b. 1775
d. 26 Nov 1854

Neeltje Cornelis KOOIJ

b. 1803
d. 27 Jul 1887

Cornelis KOOIJ

b. 17 Dec 1780
d. 4 Nov 1843

Aaltje Jacobs SPEK

b. Abt 1776
d. 23 May 1855

Maartje GEEL

b. 1830
d.

Dirk GEEL

b. 1799
d. 26 Oct 1835

Pieter GEEL

b.
d.

Maartje MAREES

b.
d.

Elsje GROOT

b. 1801
d. 5 May 1852

Jacob GROOT

b.
d.

Maartje BURGER

b.
d.

Marriage(s):
Simon GUTTER
m: on 28 Jul 1904 in Sint Pancras, , Noord-Holland, Netherlands.

Children from this marriage:
  Pieter Simon GUTTER



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

(11/14) 78%

4

(17/28) 60%

5

(24/56) 42%

6

(14/112) 12%

7

(5/224) 2%

8

(2/448) 0%

9

(0/896) 0%

Tot:

(78/1785) 4%

People

2

(2/2) 100%

3

(4/4) 100%

4

(6/8) 75%

5

(10/16) 62%

6

(9/32) 28%

7

(2/64) 3%

8

(2/128) 1%

9

(0/256) 0%

Tot:

(35/510) 6%

Birth Dates

2

(2/2) 100%

3

(4/4) 100%

4

(5/8) 62%

5

(6/16) 37%

6

(3/32) 9%

7

(2/64) 3%

8

(0/128) 0%

9

(0/256) 0%

Tot:

(22/510) 4%

Marriage Dates

2

(1/1) 100%

3

(1/2) 50%

4

(2/4) 50%

5

(2/8) 25%

6

(0/16) 0%

7

(1/32) 3%

8

(0/64) 0%

9

(0/128) 0%

Tot:

(7/255) 2%

Death Dates

2

(0/2) 0%

3

(2/4) 50%

4

(4/8) 50%

5

(6/16) 37%

6

(2/32) 6%

7

(0/64) 0%

8

(0/128) 0%

9

(0/256) 0%

Tot:

(14/510) 2%