Remove Analytics

Geesje SCHILDER

b. 30 May 1836
p. Volendam, , Noord-Holland, Netherlands
d. 10 Oct 1909
p. Edam, , Noord-Holland, Netherlands

Bruining Jansz SCHILDER

b. 1807
p. Volendam, , Noord-Holland, Netherlands
d.
p.

Jan Jansz SCHILDER

b. 8 Dec 1768
d. 18 Aug 1845

Johannes Crelisz SCHILDER

b. 10 Feb 1728
d. 1784

Cornelis "Knuckel" SCHILDER

b. 1 Jun 1679
d. 25 Jan 1740

Marijtje J. KLEYN

b. 26 Dec 1699
d. 23 May 1742

Neeltje SCHOKKER SIER

b. 8 Nov 1734
d. 1808

Lourens SCHOKKER SIER

b. 5 Mar 1709
d.

Aaltje Thijmens ROOS

b. 12 Mar 1710
d. 3 May 1768

Geesje Jans SANDERS

b. 10 Jan 1773
d. 9 Oct 1833

Jan Stoffelse SANDERS

b. 8 Dec 1748
d. 22 Apr 1778

Christoffel SANDERS

b. 25 Apr 1707
d. 1 Oct 1770

Geeschke JANSENS

b. Abt 1723
d.

Annetje OLTMANS

b. 28 Dec 1948
d. 8 Mar 1797

Grietje Klaase de JONG

b. 8 Apr 1798
p. Volendam, , Noord-Holland, Netherlands
d. 22 Jun 1868
p. Volendam, , Noord-Holland, Netherlands

Klaas Jansz JONK

b.
d. 4 Jul 1800

Aaltje Jans GROOT

b. 1762
d. 29 Jan 1850

Jan GROOT

b.
d.

Marriage(s):
Willem Jansz ZWARTHOED
m: .

Children from this marriage:
  Grietje ZWARTHOED



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

(6/7) 85%

3

(12/14) 85%

4

(14/28) 50%

5

(18/56) 32%

6

(12/112) 10%

7

(0/224) 0%

8

(0/448) 0%

9

(0/896) 0%

Tot:

(62/1785) 3%

People

2

(2/2) 100%

3

(4/4) 100%

4

(5/8) 62%

5

(6/16) 37%

6

(8/32) 25%

7

(0/64) 0%

8

(0/128) 0%

9

(0/256) 0%

Tot:

(25/510) 4%

Birth Dates

2

(2/2) 100%

3

(3/4) 75%

4

(4/8) 50%

5

(6/16) 37%

6

(3/32) 9%

7

(0/64) 0%

8

(0/128) 0%

9

(0/256) 0%

Tot:

(18/510) 3%

Marriage Dates

2

(1/1) 100%

3

(1/2) 50%

4

(1/4) 25%

5

(2/8) 25%

6

(0/16) 0%

7

(0/32) 0%

8

(0/64) 0%

9

(0/128) 0%

Tot:

(5/255) 1%

Death Dates

2

(1/2) 50%

3

(4/4) 100%

4

(4/8) 50%

5

(4/16) 25%

6

(1/32) 3%

7

(0/64) 0%

8

(0/128) 0%

9

(0/256) 0%

Tot:

(14/510) 2%