1911 Census of Scotland, County Report (Sample Report Title: Census Returns of Scotland, 1911, showing Area, Houses and Population; also the ages, civil or conjugal condition, occupations, birthplaces, and Institutions. Parts 1-4. Cities of Edinburgh, Glasgow, Dundee, and Aberdeen), Table 20 A : " Population by Conjugal Conditions and Quinquennial Age-Periods - Of Parishes".

List Banffshire ScoCnty Boharm ScoP  
AGE. Males.
[1]
Females.
[2]
Both Sexes.
[3]
Males
Females
Single.
[4]
Married.
[5]
Widowed.
[6]
Not Stated.
[7]
Single.
[8]
Married.
[9]
Widowed.
[10]
Not Stated.
[11]
All Ages. 484 Show data context 506 Show data context 990 Show data context 329 Show data context 137 Show data context 18 Show data context - 330 Show data context 138 Show data context 38 Show data context -
0 11 Show data context 9 Show data context 20 Show data context 11 Show data context - - - 9 Show data context - - -
1 3 Show data context 15 Show data context 18 Show data context 3 Show data context - - - 15 Show data context - - -
2 9 Show data context 10 Show data context 19 Show data context 9 Show data context - - - 10 Show data context - - -
3 15 Show data context 4 Show data context 19 Show data context 15 Show data context - - - 4 Show data context - - -
4 10 Show data context 10 Show data context 20 Show data context 10 Show data context - - - 10 Show data context - - -
Under 5 48 Show data context 48 Show data context 96 Show data context 48 Show data context 0 Show data context 0 Show data context - 48 Show data context 0 Show data context 0 Show data context -
5-- 48 Show data context 49 Show data context 97 Show data context 48 Show data context 0 Show data context 0 Show data context - 49 Show data context 0 Show data context 0 Show data context -
10-- 51 Show data context 58 Show data context 109 Show data context 51 Show data context 0 Show data context 0 Show data context - 58 Show data context 0 Show data context 0 Show data context -
15-- 73 Show data context 53 Show data context 126 Show data context 73 Show data context 0 Show data context 0 Show data context - 53 Show data context 0 Show data context 0 Show data context -
20-- 47 Show data context 52 Show data context 99 Show data context 44 Show data context 2 Show data context 1 Show data context - 46 Show data context 6 Show data context 0 Show data context -
25-- 23 Show data context 35 Show data context 58 Show data context 16 Show data context 7 Show data context 0 Show data context - 22 Show data context 13 Show data context 0 Show data context -
30-- 22 Show data context 22 Show data context 44 Show data context 9 Show data context 13 Show data context 0 Show data context - 8 Show data context 14 Show data context 0 Show data context -
35-- 22 Show data context 26 Show data context 48 Show data context 6 Show data context 16 Show data context 0 Show data context - 10 Show data context 16 Show data context 0 Show data context -
40-- 11 Show data context 20 Show data context 31 Show data context 3 Show data context 8 Show data context 0 Show data context - 6 Show data context 13 Show data context 1 Show data context -
45-- 33 Show data context 31 Show data context 64 Show data context 9 Show data context 21 Show data context 3 Show data context - 7 Show data context 24 Show data context 0 Show data context -
50-- 32 Show data context 30 Show data context 62 Show data context 7 Show data context 24 Show data context 1 Show data context - 7 Show data context 20 Show data context 3 Show data context -
55-- 27 Show data context 19 Show data context 46 Show data context 8 Show data context 19 Show data context 0 Show data context - 4 Show data context 11 Show data context 4 Show data context -
60-- 21 Show data context 23 Show data context 44 Show data context 5 Show data context 13 Show data context 3 Show data context - 4 Show data context 11 Show data context 8 Show data context -
65-- 9 Show data context 10 Show data context 19 Show data context 2 Show data context 6 Show data context 1 Show data context - 3 Show data context 4 Show data context 3 Show data context -
70-- 7 Show data context 13 Show data context 20 Show data context 0 Show data context 3 Show data context 4 Show data context - 2 Show data context 4 Show data context 7 Show data context -
75-- 7 Show data context 5 Show data context 12 Show data context 0 Show data context 4 Show data context 3 Show data context - 0 Show data context 2 Show data context 3 Show data context -
80-- 0 Show data context 8 Show data context 8 Show data context 0 Show data context 0 Show data context 0 Show data context - 3 Show data context 0 Show data context 5 Show data context -
85-- 1 Show data context 4 Show data context 5 Show data context 0 Show data context 0 Show data context 1 Show data context - 0 Show data context 0 Show data context 4 Show data context -
90-- 2 Show data context 0 Show data context 2 Show data context 0 Show data context 1 Show data context 1 Show data context - 0 Show data context 0 Show data context 0 Show data context -
95-- 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context - 0 Show data context 0 Show data context 0 Show data context -
100 and above. 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context - 0 Show data context 0 Show data context 0 Show data context -

Comments:

1 Note that the original table has columns for age groups, but we turn it on its side for better presentation online.

Click on the triangles for all about a particular number.

This website does not try to provide an exact replica of the original printed census tables, which often had thousands of rows and far more columns than will fit on our web pages. Instead, we let you drill down from national totals to the most detailed data available. The column headings are those that appeared in the original printed report. The numbers presented here, which are the same ones we use to create statistical maps and graphs, come from the census table and have usually been carefully checked.

The system can only hold statistics for units listed in our administrative gazetteer, so some rows from the original table may be missing. Sometimes big low-level units, like urban parishes, were divided between more than one higher-level units, like Registration sub-Districts. This is why some pages will give a higher figure for a lower-level unit: it covers the whole of the lower-level unit, not just the part within the current higher-level unit.