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".

Show Aberdeenshire ScoCnty table Glenmuick Tullich and Glencairn 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. 1,092 Show data context 1,233 Show data context 2,325 Show data context 682 Show data context 361 Show data context 49 Show data context - 775 Show data context 362 Show data context 96 Show data context -
0 18 Show data context 25 Show data context 43 Show data context 18 Show data context - - - 25 Show data context - - -
1 22 Show data context 21 Show data context 43 Show data context 22 Show data context - - - 21 Show data context - - -
2 24 Show data context 25 Show data context 49 Show data context 24 Show data context - - - 25 Show data context - - -
3 22 Show data context 20 Show data context 42 Show data context 22 Show data context - - - 20 Show data context - - -
4 19 Show data context 23 Show data context 42 Show data context 19 Show data context - - - 23 Show data context - - -
Under 5 105 Show data context 114 Show data context 219 Show data context 105 Show data context 0 Show data context 0 Show data context - 114 Show data context 0 Show data context 0 Show data context -
5-- 117 Show data context 125 Show data context 242 Show data context 117 Show data context 0 Show data context 0 Show data context - 125 Show data context 0 Show data context 0 Show data context -
10-- 127 Show data context 107 Show data context 234 Show data context 127 Show data context 0 Show data context 0 Show data context - 107 Show data context 0 Show data context 0 Show data context -
15-- 102 Show data context 108 Show data context 210 Show data context 102 Show data context 0 Show data context 0 Show data context - 106 Show data context 2 Show data context 0 Show data context -
20-- 80 Show data context 90 Show data context 170 Show data context 77 Show data context 3 Show data context 0 Show data context - 78 Show data context 12 Show data context 0 Show data context -
25-- 56 Show data context 89 Show data context 145 Show data context 44 Show data context 12 Show data context 0 Show data context - 49 Show data context 37 Show data context 3 Show data context -
30-- 70 Show data context 88 Show data context 158 Show data context 27 Show data context 43 Show data context 0 Show data context - 35 Show data context 52 Show data context 1 Show data context -
35-- 69 Show data context 91 Show data context 160 Show data context 13 Show data context 54 Show data context 2 Show data context - 38 Show data context 50 Show data context 3 Show data context -
40-- 68 Show data context 76 Show data context 144 Show data context 19 Show data context 47 Show data context 2 Show data context - 22 Show data context 48 Show data context 6 Show data context -
45-- 59 Show data context 69 Show data context 128 Show data context 8 Show data context 46 Show data context 5 Show data context - 16 Show data context 44 Show data context 9 Show data context -
50-- 50 Show data context 59 Show data context 109 Show data context 8 Show data context 36 Show data context 6 Show data context - 20 Show data context 31 Show data context 8 Show data context -
55-- 57 Show data context 52 Show data context 109 Show data context 10 Show data context 42 Show data context 5 Show data context - 17 Show data context 26 Show data context 9 Show data context -
60-- 35 Show data context 47 Show data context 82 Show data context 5 Show data context 26 Show data context 4 Show data context - 18 Show data context 19 Show data context 10 Show data context -
65-- 39 Show data context 39 Show data context 78 Show data context 13 Show data context 16 Show data context 10 Show data context - 9 Show data context 19 Show data context 11 Show data context -
70-- 26 Show data context 41 Show data context 67 Show data context 3 Show data context 18 Show data context 5 Show data context - 13 Show data context 11 Show data context 17 Show data context -
75-- 17 Show data context 17 Show data context 34 Show data context 3 Show data context 11 Show data context 3 Show data context - 2 Show data context 9 Show data context 6 Show data context -
80-- 12 Show data context 13 Show data context 25 Show data context 1 Show data context 7 Show data context 4 Show data context - 4 Show data context 1 Show data context 8 Show data context -
85-- 3 Show data context 6 Show data context 9 Show data context 0 Show data context 0 Show data context 3 Show data context - 1 Show data context 1 Show data context 4 Show data context -
90-- 0 Show data context 1 Show data context 1 Show data context 0 Show data context 0 Show data context 0 Show data context - 1 Show data context 0 Show data context 0 Show data context -
95-- 0 Show data context 1 Show data context 1 Show data context 0 Show data context 0 Show data context 0 Show data context - 0 Show data context 0 Show data context 1 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 -

Click on the triangles for all about a particular number.

Comments:

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

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.