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Arien BLOM

b. 1768
p. Groet, Schoorl, Noord-Holland, Netherlands
d. 10 Sep 1821
p. Purmerend, , Noord-Holland, Netherlands

Jacob Ariensz BLOM

b. 1739
p. Noord-Scharwoude, , Noord-Holland, Netherlands
d. 8 Nov 1807
p. Broek op Langedijk, , Noord-Holland, Netherlands
20 Jan 1765

Arien Jacobsz BLOM

b. 4 Dec 1713
d. 29 Dec 1782

Jacob Cornelisz BLOM

b. 25 Jun 1683
d. 1755

Cornelis BLOM

b. 1650
d.

Anna Gerritsd

b.
d.

Neeltje Ariaansdr BLOM

b. 1688
d. 8 Apr 1771

Trijntje Jans BLOM

b. Abt 1715
d. 29 Sep 1780

Jan Simonsz BLOM

b. Abt 1685
d. 1730

Sijmon Jansz BLOM

b. Abt 1660
d. 1726

Guurtje Sijmons SLOMMER

b. Abt 1660
d. 1722

Neeltje Sijbrantes

b. Abt 1680
d. 5 Mar 1753

Aagje Jans STAM

b. 18 May 1739
p. Zijpe, , Noord-Holland, Netherlands
d. 2 Apr 1814
p. Berkhout, Koggenland, Noord-Holland, Netherlands
20 Jan 1765

Jan STAM

b. 1710
d. 1767

Jan Pietersz STAM

b. 1685
d.

Grietje Jans de GELDER

b.
d.

Maartje Dirks KAT

b. 1715
d.

Marriage(s):
Jantje OPDAM
m: on 19 Jan 1794 in Koedijk, , Noord-Holland, Netherlands.

Children from this marriage:
  Cornelis BLOM
  Aagie BLOM



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

(16/28) 57%

5

(10/56) 17%

6

(5/112) 4%

7

(0/224) 0%

8

(0/448) 0%

9

(0/896) 0%

Tot:

(50/1785) 2%

People

2

(2/2) 100%

3

(4/4) 100%

4

(6/8) 75%

5

(4/16) 25%

6

(3/32) 9%

7

(0/64) 0%

8

(0/128) 0%

9

(0/256) 0%

Tot:

(19/510) 3%

Birth Dates

2

(2/2) 100%

3

(4/4) 100%

4

(5/8) 62%

5

(3/16) 18%

6

(1/32) 3%

7

(0/64) 0%

8

(0/128) 0%

9

(0/256) 0%

Tot:

(15/510) 2%

Marriage Dates

2

(1/1) 100%

3

(1/2) 50%

4

(1/4) 25%

5

(1/8) 12%

6

(0/16) 0%

7

(0/32) 0%

8

(0/64) 0%

9

(0/128) 0%

Tot:

(4/255) 1%

Death Dates

2

(2/2) 100%

3

(3/4) 75%

4

(4/8) 50%

5

(2/16) 12%

6

(1/32) 3%

7

(0/64) 0%

8

(0/128) 0%

9

(0/256) 0%

Tot:

(12/510) 2%