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Albert de WIT

b. 10 Nov 1849
p. Oudkarspel, , Noord-Holland, Netherlands
d. 31 Aug 1918
p. Noord-Scharwoude, , Noord-Holland, Netherlands

Jan de WIT

b. 1823
p. Broek op Langedijk, , Noord-Holland, Netherlands
d. 30 Dec 1854
p. Oudkarspel, , Noord-Holland, Netherlands
18 Mar 1849

Albert de WIT

b. 1795
d. 30 Nov 1860

Jan de WIT

b.
d.

Petronella Margaretha van LOO

b.
d.

Dieuwertje SCHOON

b. 1804
d. 3 Jun 1842

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

Maartje Simons BLOM

b.
d. 7 May 1799

Antje STUURMAN

b. 1825
p. Harenkarspel, , Noord-Holland, Netherlands
d. 22 Jan 1889
p. Oudkarspel, , Noord-Holland, Netherlands
18 Mar 1849

Aldert STUURMAN

b.
d.

Guurtje MOOIJ

b.
d.

Marriage(s):
Neeltje OTTO
m: on 6 Jul 1873 in Zuid-Scharwoude, , Noord-Holland, Netherlands.

Children from this marriage:
  Antje de WIT
  Trijntje de WIT
  Neeltje de WIT
  Jan de WIT
  Jantje de WIT



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

(9/28) 32%

5

(12/56) 21%

6

(9/112) 8%

7

(13/224) 5%

8

(10/448) 2%

9

(5/896) 0%

Tot:

(74/1785) 4%

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

(4/128) 3%

9

(3/256) 1%

Tot:

(29/510) 5%

Birth Dates

2

(2/2) 100%

3

(2/4) 50%

4

(2/8) 25%

5

(3/16) 18%

6

(2/32) 6%

7

(4/64) 6%

8

(3/128) 2%

9

(1/256) 0%

Tot:

(19/510) 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

(1/64) 1%

9

(0/128) 0%

Tot:

(7/255) 2%

Death Dates

2

(2/2) 100%

3

(2/4) 50%

4

(2/8) 25%

5

(4/16) 25%

6

(2/32) 6%

7

(4/64) 6%

8

(2/128) 1%

9

(1/256) 0%

Tot:

(19/510) 3%