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Maartje KWAST

b. 27 Feb 1851
p. Barsingerhorn, , Noord-Holland, Netherlands
d. 1 Jun 1890
p. Haarlem, , Noord-Holland, Netherlands

Cornelis KWAST

b. 26 Jul 1816
p. Barsingerhorn, , Noord-Holland, Netherlands
d. 30 May 1866
p. Schagen, , Noord-Holland, Netherlands
24 Nov 1844

Jan KWAST

b.
d.

Jantje BLAAUBOER

b.
d.

Peitertje GUTTER

b. 13 Jul 1818
p. Hoogwoud, , Noord-Holland, Netherlands
d. 18 Jan 1854
p. Barsingerhorn, , Noord-Holland, Netherlands
24 Nov 1844

Johannes GUTTER

b. 16 Sep 1793
d. 24 Nov 1872

Cornelis Johannisz GUTTER

b. 23 Jul 1763
d. 4 Dec 1828

Johannis Adolfz GUTTER

b. 1740
d. 1 Jun 1806

Maartje Claasd VERWERS

b. 1742
d. 14 Jul 1773

Piertje LINDHOLM

b. 9 Sep 1767
d. 28 Jan 1810

Sijmon Pietersz LINDHOLM

b. Abt 1740
d. 27 Mar 1809

Annetje Joosten SCHUURMAN

b. Abt 1745
d. 29 Jan 1782

Maartje STAM

b. 15 Aug 1795
d. 9 May 1857

Cornelis Jansz STAM

b. 23 Oct 1746
d. 17 Jul 1810

Jan Gerritsz STAM

b.
d.

Stijntje Cornelisd

b.
d.

Maartje Jansd KOETEN

b. 18 Mar 1753
d. 5 Oct 1819

Jan KOETEN

b.
d.

Marriage(s):
Reindert de BOER
m: on 9 Oct 1874 in Schagen, , Noord-Holland, Netherlands.

Children from this marriage:
  Willempje de BOER



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

(7/7) 100%

3

(9/14) 64%

4

(14/28) 50%

5

(17/56) 30%

6

(11/112) 9%

7

(0/224) 0%

8

(0/448) 0%

9

(0/896) 0%

Tot:

(58/1785) 3%

People

2

(2/2) 100%

3

(4/4) 100%

4

(4/8) 50%

5

(7/16) 43%

6

(5/32) 15%

7

(0/64) 0%

8

(0/128) 0%

9

(0/256) 0%

Tot:

(22/510) 4%

Birth Dates

2

(2/2) 100%

3

(2/4) 50%

4

(4/8) 50%

5

(4/16) 25%

6

(3/32) 9%

7

(0/64) 0%

8

(0/128) 0%

9

(0/256) 0%

Tot:

(15/510) 2%

Marriage Dates

2

(1/1) 100%

3

(1/2) 50%

4

(2/4) 50%

5

(2/8) 25%

6

(0/16) 0%

7

(0/32) 0%

8

(0/64) 0%

9

(0/128) 0%

Tot:

(6/255) 2%

Death Dates

2

(2/2) 100%

3

(2/4) 50%

4

(4/8) 50%

5

(4/16) 25%

6

(3/32) 9%

7

(0/64) 0%

8

(0/128) 0%

9

(0/256) 0%

Tot:

(15/510) 2%