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Pieter PIJPER

b. 1888
p. Opperdoes, , Noord-Holland, Netherlands
d.
p.

Pieter IJsbrandsz PIJPER

b. 1865
p. Opperdoes, , Noord-Holland, Netherlands
d.
p.
26 Apr 1885

IJsbrand PIJPER

b. 1835
d.

Pieter PIJPER

b. 1795
d. 11 Jun 1861

Dirk Sijmonsz PIJPER

b. 30 Nov 1751
d. 17 Aug 1801

Trijntje Pieters PEREBOOM

b. 26 Nov 1754
d. 16 Feb 1829

Grietje WIJDENES

b. 1799
d.

Jacob WIJDENES

b. 29 Nov 1762
d. 20 Aug 1836

Jantje Pietersd WILLEMS

b. 24 Nov 1776
d. 28 Mar 1852

Aafje LAAN

b. 1841
d.

Klaas LAAN

b.
d.

Aaltje SCHAGEN

b.
d.

Pietertje NES

b. 1863
p. Midwoud, , Noord-Holland, Netherlands
d.
p.
26 Apr 1885

Pieter NES

b. 1834
d. 25 Jan 1900

Gerrit NES

b. 1801
d. 11 Oct 1847

Pieter NES

b.
d.

Maartje BAKKER

b.
d.

Ytje KLAVER

b. 17 Dec 1798
d. Bef 1859

Jan Meijnders KLAVER

chr. 28 Oct 1753
d. 30 Jul 1829

Marijtje Nannes BUISMAN

b. 5 Jan 1772
d. 4 Feb 1845

Trijntje de BOER

b. 4 Sep 1839
d. Aft 1892

Pieter de BOER

b.
d.

Pietertje MEURS

b.
d.

Marriage(s):
Geertje SLOT
m: on 1 May 1917 in Twisk, , Noord-Holland, Netherlands.



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

(17/28) 60%

5

(22/56) 39%

6

(13/112) 11%

7

(7/224) 3%

8

(8/448) 1%

9

(4/896) 0%

Tot:

(88/1785) 4%

People

2

(2/2) 100%

3

(4/4) 100%

4

(8/8) 100%

5

(8/16) 50%

6

(8/32) 25%

7

(2/64) 3%

8

(4/128) 3%

9

(2/256) 0%

Tot:

(38/510) 7%

Birth Dates

2

(2/2) 100%

3

(4/4) 100%

4

(4/8) 50%

5

(6/16) 37%

6

(4/32) 12%

7

(2/64) 3%

8

(2/128) 1%

9

(2/256) 0%

Tot:

(26/510) 5%

Marriage Dates

2

(1/1) 100%

3

(2/2) 100%

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:

(8/255) 3%

Death Dates

2

(0/2) 0%

3

(2/4) 50%

4

(3/8) 37%

5

(6/16) 37%

6

(1/32) 3%

7

(2/64) 3%

8

(2/128) 1%

9

(0/256) 0%

Tot:

(16/510) 3%