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Jan MODDER

b.
p.
d.
p.

Pieter MODDER

b. 7 Apr 1910
p. Sint Pancras, , Noord-Holland, Netherlands
d.
p.
Sep 1933

Jan MODDER

b. 29 Aug 1881
d. 1973

Jan MODDER

b. 1847
d.

Pieter MODDER

b. 1818
d.

Marijtje OUDEJANS

b. 1822
d.

Geertje STROOKER

b. 1847
d.

Jan STROOKER

b. 1812
d.

Lena MAREES

b. 1811
d.

Maartje GUTTER

b. 11 Jun 1887
d. 26 Jul 1961

Pieter GUTTER

b. 29 Apr 1850
d. 1 Jan 1918

Cornelis GUTTER

b. 1826
d. 4 Jul 1905

Maartjes GOOTJES

b. 1 May 1825
d. 18 Jan 1892

Christina NAT

b. 23 Dec 1854
d. 11 Jun 1910

Cornelis NAT

b. 5 Apr 1830
d. 13 Nov 1859

Maartje SMIT

b. 1 Sep 1829
d. 1880

Jeltje WAGEMAKER

b. 22 Jun 1912
p. Oudkarspel, , Noord-Holland, Netherlands
d.
p.
Sep 1933

Pieter WAGEMAKER

b. 1875
d. 6 Nov 1919

Nan WAGEMAKER

b. 1841
d.

Cornelis WAGEMAKER

b. 1799
d. 17 Jul 1891

Geertje de JONG

b. 1800
d. 15 Nov 1871

Jeltje MAATS

b. 1844
d.

Pieter MAATS

b.
d.

Neeltje SMIT

b.
d.

Maartje KOPPEN

b. 16 Apr 1886
d.

Klaas Reijersz KOPPEN

b. 1851
d.

Jan KOPPEN

b.
d.

Grietje PRINS

b.
d.

Marijtje OOTJERS

b. 1863
d.

Reijer Ariensz OOTJERS

b. 1839
d.

Maartje STAM

b. 1837
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

(5/7) 71%

3

(13/14) 92%

4

(22/28) 78%

5

(40/56) 71%

6

(60/112) 53%

7

(68/224) 30%

8

(86/448) 19%

9

(78/896) 8%

Tot:

(372/1785) 20%

People

2

(2/2) 100%

3

(4/4) 100%

4

(8/8) 100%

5

(16/16) 100%

6

(24/32) 75%

7

(22/64) 34%

8

(34/128) 26%

9

(34/256) 13%

Tot:

(144/510) 28%

Birth Dates

2

(2/2) 100%

3

(4/4) 100%

4

(8/8) 100%

5

(12/16) 75%

6

(16/32) 50%

7

(18/64) 28%

8

(24/128) 18%

9

(23/256) 8%

Tot:

(107/510) 20%

Marriage Dates

2

(1/1) 100%

3

(2/2) 100%

4

(4/4) 100%

5

(6/8) 75%

6

(5/16) 31%

7

(9/32) 28%

8

(10/64) 15%

9

(7/128) 5%

Tot:

(44/255) 17%

Death Dates

2

(0/2) 0%

3

(3/4) 75%

4

(2/8) 25%

5

(6/16) 37%

6

(15/32) 46%

7

(19/64) 29%

8

(18/128) 14%

9

(14/256) 5%

Tot:

(77/510) 15%