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(__?__) HAASNOOT

b.
p.
d.
p.

Jan HAASNOOT

b. 22 Nov 1907
p. Katwijk, , Zuid-Holland, Netherlands
d. 14 Feb 1993
p. Katwijk, , Zuid-Holland, Netherlands
6 Jun 1934

Hermanus HAASNOOT

b. 1874
d.

Arie HAASNOOT

b.
d.

Ornelia van STAVEREN

b.
d.

Anna Lijgia van der MAREL

b. 1875
d.

Hubrecht van der MAREL

b. 20 Aug 1830
d.

Maarten van der MAREL

b.
d.

Lijdia ZWANENBURG

b.
d.

Johanna NIJGH

b. 1 Jan 1830
d.

Leendert Cornelisz NIJGH

b.
d.

Neeltje Huigsdr KRUIJT

b.
d.

Cornelia van der PLAS

b. 21 Sep 1907
p. Katwijk, , Zuid-Holland, Netherlands
d. 23 Apr 1999
p. Katwijk, , Zuid-Holland, Netherlands
6 Jun 1934

Leendert van der PLAS

b. 30 May 1872
d. 1 Jul 1944

Cornelis van der PLAS

b. 24 Jan 1849
d. 23 Oct 1934

Leendert van der PLAS

b. 3 Apr 1825
d. 16 Oct 1898

Grietje VOOIJS

b. 30 Jan 1827
d. 21 Jan 1884

Arendje HAASNOOT

b. 15 Apr 1849
d. 1 Jun 1914

Cornelis Leendertsz HAASNOOT

b. 2 Oct 1817
d. 2 Dec 1881

Trijntje KLOK

b. 23 Oct 1818
d. 12 Apr 1894

Jannetje van DUIJN

b. 10 Oct 1874
d. 30 Mar 1935

Johannes van DUIJN

b.
d.

Neeltje GUIJT

b.
d.

Marriage(s):
Engelbrecht Herman van der PLAS


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

(12/14) 85%

4

(16/28) 57%

5

(18/56) 32%

6

(21/112) 18%

7

(30/224) 13%

8

(26/448) 5%

9

(26/896) 2%

Tot:

(156/1785) 8%

People

2

(2/2) 100%

3

(4/4) 100%

4

(8/8) 100%

5

(8/16) 50%

6

(8/32) 25%

7

(12/64) 18%

8

(10/128) 7%

9

(8/256) 3%

Tot:

(60/510) 11%

Birth Dates

2

(2/2) 100%

3

(4/4) 100%

4

(4/8) 50%

5

(4/16) 25%

6

(6/32) 18%

7

(8/64) 12%

8

(8/128) 6%

9

(8/256) 3%

Tot:

(44/510) 8%

Marriage Dates

2

(1/1) 100%

3

(2/2) 100%

4

(2/4) 50%

5

(2/8) 25%

6

(3/16) 18%

7

(2/32) 6%

8

(2/64) 3%

9

(4/128) 3%

Tot:

(18/255) 7%

Death Dates

2

(2/2) 100%

3

(2/4) 50%

4

(2/8) 25%

5

(4/16) 25%

6

(4/32) 12%

7

(8/64) 12%

8

(6/128) 4%

9

(6/256) 2%

Tot:

(34/510) 6%