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Maria BANNINK

b. 22 Dec 1903
p. Haarlem, , Noord-Holland, Netherlands
d. 1 Jul 1992
p. Heemstede, , Noord-Holland, Netherlands

Willem Gerrit BANNINK

b. 24 Oct 1876
p. Haarlem, , Noord-Holland, Netherlands
d. 28 Oct 1970
p. Haarlem, , Noord-Holland, Netherlands
30 Oct 1901

Hendrik BANNINK

b.
d.

Maria VERKES

b.
d.

Willempje de BOER

b. 13 May 1878
p. Schagen, , Noord-Holland, Netherlands
d. 13 Mar 1952
p. Haarlem, , Noord-Holland, Netherlands
30 Oct 1901

Reindert de BOER

b. 5 Mar 1851
d. 2 Sep 1889

UNKNOWN

b.
d.

Willempje de BOER

b. 11 Sep 1831
d. 30 Aug 1912

Albert de BOER

b. 1809
d.

Anna Hillegond BRUIN

b. 1812
d.

Maartje KWAST

b. 27 Feb 1851
d. 1 Jun 1890

Cornelis KWAST

b. 26 Jul 1816
d. 30 May 1866

Jan KWAST

b.
d.

Jantje BLAAUBOER

b.
d.

Peitertje GUTTER

b. 13 Jul 1818
d. 18 Jan 1854

Johannes GUTTER

b. 16 Sep 1793
d. 24 Nov 1872

Maartje STAM

b. 15 Aug 1795
d. 9 May 1857

Marriage(s):
Albert Jan van der LENDE
m: on 5 Jul 1933 in Haarlem, , Noord-Holland, Netherlands.

Children from this marriage:
  M. J. van der LENDE



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

(9/14) 64%

4

(11/28) 39%

5

(14/56) 25%

6

(18/112) 16%

7

(17/224) 7%

8

(11/448) 2%

9

(0/896) 0%

Tot:

(87/1785) 4%

People

2

(2/2) 100%

3

(4/4) 100%

4

(4/8) 50%

5

(6/16) 37%

6

(8/32) 25%

7

(7/64) 10%

8

(5/128) 3%

9

(0/256) 0%

Tot:

(36/510) 7%

Birth Dates

2

(2/2) 100%

3

(2/4) 50%

4

(3/8) 37%

5

(4/16) 25%

6

(4/32) 12%

7

(4/64) 6%

8

(3/128) 2%

9

(0/256) 0%

Tot:

(22/510) 4%

Marriage Dates

2

(1/1) 100%

3

(1/2) 50%

4

(1/4) 25%

5

(2/8) 25%

6

(2/16) 12%

7

(2/32) 6%

8

(0/64) 0%

9

(0/128) 0%

Tot:

(9/255) 3%

Death Dates

2

(2/2) 100%

3

(2/4) 50%

4

(3/8) 37%

5

(2/16) 12%

6

(4/32) 12%

7

(4/64) 6%

8

(3/128) 2%

9

(0/256) 0%

Tot:

(20/510) 3%