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Pieter Pietersz HAASNOOT

b. 12 Jun 1943
p. Katwijk aan Zee, , Zuid-Holland, Netherlands
d. 8 Dec 1966
p. At Sea

Pieter HAASNOOT

b. 23 Dec 1900
p. Katwijk aan Zee, , Zuid-Holland, Netherlands
d. 8 Dec 1974
p. Leiden, , Zuid-Holland, Netherlands

Adrianus HAASNOOT

b. 21 Dec 1873
d. 3 Dec 1968

Huig HAASNOOT

b. 19 Feb 1847
d. 22 Feb 1932

Huig Leendertsz HAASNOOT

b. 16 Dec 1813
d. 12 Feb 1895

Marijtje van der PLAS

b. 25 Apr 1814
d. 8 Apr 1907

Ariaantje van der PLAS

b. 27 May 1846
d. 27 Aug 1939

Leendert van der PLAS

b. 12 Oct 1813
d. 7 Mar 1895

Ariaantje van VELSEN

b. Abt 1816
d.

Helena SCHAAP

b. 28 Sep 1875
d. 27 Aug 1960

Pieter SCHAAP

b. 30 Nov 1842
d.

Pieter SCHAAP

b. 1817
d. 19 Sep 1901

Marijtje van DUIJVENBODE

b. 1817
d.

Maartje van DUIJN

b. 7 Dec 1839
d.

Huig van DUIJN

b.
d.

Marijtje NIJGH

b.
d.

Clara Hermina GEIJTEMAN

b. 27 Nov 1904
p. Katwijk, , Zuid-Holland, Netherlands
d. 22 Oct 1984
p. Katwijk, , Zuid-Holland, Netherlands

Teunis GEIJTEMAN

b. 1866
d.

Thijs GEIJTEMAN

b. 28 Nov 1826
d.

Johanna Wilhelmina van der TAK

b. 26 Mar 1824
d.

Elisabeth PRONK

b. 1867
d.

Jacob PRONK

b.
d.

Martijntje SPAANS

b.
d.

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

(18/28) 64%

5

(21/56) 37%

6

(36/112) 32%

7

(61/224) 27%

8

(55/448) 12%

9

(92/896) 10%

Tot:

(302/1785) 16%

People

2

(2/2) 100%

3

(4/4) 100%

4

(8/8) 100%

5

(8/16) 50%

6

(12/32) 37%

7

(20/64) 31%

8

(20/128) 15%

9

(32/256) 12%

Tot:

(106/510) 20%

Birth Dates

2

(2/2) 100%

3

(4/4) 100%

4

(6/8) 75%

5

(6/16) 37%

6

(10/32) 31%

7

(20/64) 31%

8

(18/128) 14%

9

(29/256) 11%

Tot:

(95/510) 18%

Marriage Dates

2

(1/1) 100%

3

(2/2) 100%

4

(2/4) 50%

5

(3/8) 37%

6

(5/16) 31%

7

(5/32) 15%

8

(8/64) 12%

9

(12/128) 9%

Tot:

(38/255) 14%

Death Dates

2

(2/2) 100%

3

(2/4) 50%

4

(2/8) 25%

5

(4/16) 25%

6

(9/32) 28%

7

(16/64) 25%

8

(9/128) 7%

9

(19/256) 7%

Tot:

(63/510) 12%