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Gerrit de WIT

b. 1837
p. Zuid-Scharwoude, , Noord-Holland, Netherlands
d. 23 Jan 1892
p. Broek op Langedijk, , Noord-Holland, Netherlands

Albert de WIT

b. 1795
p. Alkmaar, , Noord-Holland, Netherlands
d. 30 Nov 1860
p. Zuid-Scharwoude, , Noord-Holland, Netherlands
24 Feb 1822

Jan de WIT

b.
d.

Petronella Margaretha van LOO

b.
d.

Dieuwertje SCHOON

b. 1804
p. Broek op Langedijk, , Noord-Holland, Netherlands
d. 3 Jun 1842
p. Zuid-Scharwoude, , Noord-Holland, Netherlands
24 Feb 1822

Abram SCHOON

b. 1763
d. 3 Jan 1830

Jacob SCHOON

b. 12 Jan 1722
d. 17 Apr 1783

Pietertje Jans van PETTEN

b. Abt 1725
d. 7 Nov 1797

Hillegonnde Simons RIDDER

b. 7 Nov 1762
d. 27 Apr 1826

Simon Hendriksz RIDDER

b. Abt 1738
d. 26 Aug 1777

Hendrik Cornelisz RIDDER

b.
d.

Neeltje HOUWEN

b.
d.

Maartje Simons BLOM

b.
d. 7 May 1799

Simon Jansz BLOM

b. Abt 1713
d. 28 Feb 1782

Grietje Jacobsdr BLOM

b. Abt 1720
d. 23 Nov 1771

Marriage(s):
Antje BULT
m: on 2 Feb 1858 in Zuid-Scharwoude, , Noord-Holland, Netherlands.


Trijntje GROOT
m: on 26 Mar 1863 in Zuid-Scharwoude, , 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

(7/7) 100%

3

(9/14) 64%

4

(12/28) 42%

5

(9/56) 16%

6

(13/112) 11%

7

(10/224) 4%

8

(5/448) 1%

9

(0/896) 0%

Tot:

(65/1785) 3%

People

2

(2/2) 100%

3

(4/4) 100%

4

(4/8) 50%

5

(4/16) 25%

6

(4/32) 12%

7

(4/64) 6%

8

(3/128) 2%

9

(0/256) 0%

Tot:

(25/510) 4%

Birth Dates

2

(2/2) 100%

3

(2/4) 50%

4

(3/8) 37%

5

(2/16) 12%

6

(4/32) 12%

7

(3/64) 4%

8

(1/128) 0%

9

(0/256) 0%

Tot:

(17/510) 3%

Marriage Dates

2

(1/1) 100%

3

(1/2) 50%

4

(1/4) 25%

5

(1/8) 12%

6

(1/16) 6%

7

(1/32) 3%

8

(0/64) 0%

9

(0/128) 0%

Tot:

(6/255) 2%

Death Dates

2

(2/2) 100%

3

(2/4) 50%

4

(4/8) 50%

5

(2/16) 12%

6

(4/32) 12%

7

(2/64) 3%

8

(1/128) 0%

9

(0/256) 0%

Tot:

(17/510) 3%