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Pieter de WIT

b. 1869
p. Grootebroek, , Noord-Holland, Netherlands
d.
p.

Sijvert de WIT

b. 1834
p. Grootebroek, , Noord-Holland, Netherlands
d.
p.
10 Jan 1856

Jan de WIT

b. 1803
d.

Pieter Jansz de WIT

b. 4 Feb 1778
d. 6 Jun 1856

Afie Claase SCHUIJT

b. 10 Jul 1781
d. 12 Dec 1833

Neeltje SCHAPER

b. 7 Oct 1808
d. 12 Mar 1839

Sijbert Evertse SCHAPER

b. 19 Aug 1779
d. 22 Nov 1829

Evert Jans SCHAPER

b. 1748
d. 20 Jan 1821

Jannetje SJERPS

b. 6 Jul 1755
d. 16 Apr 1824

Grietje Jacobs GROOT

b. 1780
d. 13 Mar 1837

Jacobs GROOT

b.
d.

Elisabeth SCHAPER

b. 1833
p. Grootebroek, , Noord-Holland, Netherlands
d.
p.
10 Jan 1856

Pieter Willems SCHAPER

b. 5 May 1800
d. 8 Sep 1871

Willem Barendsz SCHAPER

b. 1757
d. 11 Oct 1822

Brend Jans SCHAPER

b. Abt 1715
d. Bef 1800

Vrouwtje Hielkes de VRIES

b. Abt 1720
d. 29 Jun 1771

Elisabeth Cornelis MOLENAAR

b. 20 Oct 1761
d. 16 Apr 1808

Cornelis Pietersz MOLENAAR

b. 9 Jan 1721
d. 7 Jul 1765

TROMP

b.
d.

Marijtje KOEDOODER

b. 6 Oct 1798
d. 8 Sep 1868

Marriage(s):
Bregje REUS
m: on 29 Jan 1885 in Grootebroek, , Noord-Holland, Netherlands.

Children from this marriage:
  Nicolaas de WIT



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

(20/28) 71%

5

(19/56) 33%

6

(20/112) 17%

7

(2/224) 0%

8

(0/448) 0%

9

(0/896) 0%

Tot:

(78/1785) 4%

People

2

(2/2) 100%

3

(4/4) 100%

4

(6/8) 75%

5

(7/16) 43%

6

(9/32) 28%

7

(2/64) 3%

8

(0/128) 0%

9

(0/256) 0%

Tot:

(30/510) 5%

Birth Dates

2

(2/2) 100%

3

(4/4) 100%

4

(6/8) 75%

5

(5/16) 31%

6

(5/32) 15%

7

(0/64) 0%

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

(1/16) 6%

7

(0/32) 0%

8

(0/64) 0%

9

(0/128) 0%

Tot:

(7/255) 2%

Death Dates

2

(0/2) 0%

3

(3/4) 75%

4

(6/8) 75%

5

(5/16) 31%

6

(5/32) 15%

7

(0/64) 0%

8

(0/128) 0%

9

(0/256) 0%

Tot:

(19/510) 3%