Remove Analytics

Abraham WIT

b. 1833
p. Nieuwe Niedorp, , Noord-Holland, Netherlands
d.
p.

Pieter Simonsz WIT

b. 17 Sep 1775
p. Nieuwe Niedorp, , Noord-Holland, Netherlands
d. 29 Jan 1838
p. Nieuwe Niedorp, , Noord-Holland, Netherlands
18 Mar 1821

Simon Pietersz WIT

b. 1 Jan 1733
d. 13 Aug 1811

Pieter Sijmons WIT

b. Abt 1705
d. 20 Jan 1739

Sijmon Pietersz WIT

b. Abt 1675
d. Sep 1726

Maritgen Cornelis PEETOOM

b. Abt 1675
d. 12 Jun 1706

Sijtje Jans BIJPOST

b. 1710
d. 7 Oct 1734

Jan BIJPOST

b. Abt 1680
d.

Trin Jans

b.
d.

Guurtje Jacobs SLOT

b. abt 173o
d. 3 Sep 1781

Jacob SLOT

b. Abt 1700
d.

Grietje van der WERF

b.
d.

Maartje BUTTER

b. 23 Sep 1797
p. Nieuwe Niedorp, , Noord-Holland, Netherlands
d. 19 Sep 1835
p. Nieuwe Niedorp, , Noord-Holland, Netherlands
18 Mar 1821

Klaas Cornelisz BUTTER

b. 1756
d.

Cornelis BUTTER

b. Abt 1725
d.

Geertje WITSEN

b.
d.

Neeltje de GRAAF

b. Abt 1756
d.

Marriage(s):
Trijntje KRAMER
m: on 28 Apr 1850 in Hoogwoud, , Noord-Holland, Netherlands.

Children from this marriage:
  Christina Stoffelina 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

(7/7) 100%

3

(11/14) 78%

4

(13/28) 46%

5

(9/56) 16%

6

(0/112) 0%

7

(0/224) 0%

8

(0/448) 0%

9

(0/896) 0%

Tot:

(40/1785) 2%

People

2

(2/2) 100%

3

(4/4) 100%

4

(6/8) 75%

5

(4/16) 25%

6

(0/32) 0%

7

(0/64) 0%

8

(0/128) 0%

9

(0/256) 0%

Tot:

(16/510) 3%

Birth Dates

2

(2/2) 100%

3

(4/4) 100%

4

(4/8) 50%

5

(3/16) 18%

6

(0/32) 0%

7

(0/64) 0%

8

(0/128) 0%

9

(0/256) 0%

Tot:

(13/510) 2%

Marriage Dates

2

(1/1) 100%

3

(1/2) 50%

4

(1/4) 25%

5

(0/8) 0%

6

(0/16) 0%

7

(0/32) 0%

8

(0/64) 0%

9

(0/128) 0%

Tot:

(3/255) 1%

Death Dates

2

(2/2) 100%

3

(2/4) 50%

4

(2/8) 25%

5

(2/16) 12%

6

(0/32) 0%

7

(0/64) 0%

8

(0/128) 0%

9

(0/256) 0%

Tot:

(8/510) 1%