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 Moray ScoCnty table Rothes 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. 961 Show data context 1,055 Show data context 2,016 Show data context 626 Show data context 299 Show data context 36 Show data context - 660 Show data context 314 Show data context 81 Show data context -
0 30 Show data context 24 Show data context 54 Show data context 30 Show data context - - - 24 Show data context - - -
1 22 Show data context 20 Show data context 42 Show data context 22 Show data context - - - 20 Show data context - - -
2 24 Show data context 19 Show data context 43 Show data context 24 Show data context - - - 19 Show data context - - -
3 15 Show data context 27 Show data context 42 Show data context 15 Show data context - - - 27 Show data context - - -
4 24 Show data context 25 Show data context 49 Show data context 24 Show data context - - - 25 Show data context - - -
Under 5 115 Show data context 115 Show data context 230 Show data context 115 Show data context 0 Show data context 0 Show data context - 115 Show data context 0 Show data context 0 Show data context -
5-- 98 Show data context 124 Show data context 222 Show data context 98 Show data context 0 Show data context 0 Show data context - 124 Show data context 0 Show data context 0 Show data context -
10-- 132 Show data context 107 Show data context 239 Show data context 132 Show data context 0 Show data context 0 Show data context - 107 Show data context 0 Show data context 0 Show data context -
15-- 93 Show data context 80 Show data context 173 Show data context 93 Show data context 0 Show data context 0 Show data context - 79 Show data context 1 Show data context 0 Show data context -
20-- 76 Show data context 85 Show data context 161 Show data context 70 Show data context 6 Show data context 0 Show data context - 72 Show data context 13 Show data context 0 Show data context -
25-- 56 Show data context 67 Show data context 123 Show data context 37 Show data context 19 Show data context 0 Show data context - 34 Show data context 33 Show data context 0 Show data context -
30-- 58 Show data context 70 Show data context 128 Show data context 24 Show data context 34 Show data context 0 Show data context - 28 Show data context 42 Show data context 0 Show data context -
35-- 59 Show data context 66 Show data context 125 Show data context 12 Show data context 44 Show data context 3 Show data context - 20 Show data context 44 Show data context 2 Show data context -
40-- 50 Show data context 55 Show data context 105 Show data context 13 Show data context 36 Show data context 1 Show data context - 14 Show data context 39 Show data context 2 Show data context -
45-- 41 Show data context 57 Show data context 98 Show data context 5 Show data context 33 Show data context 3 Show data context - 15 Show data context 39 Show data context 3 Show data context -
50-- 45 Show data context 49 Show data context 94 Show data context 7 Show data context 34 Show data context 4 Show data context - 13 Show data context 29 Show data context 7 Show data context -
55-- 39 Show data context 49 Show data context 88 Show data context 6 Show data context 28 Show data context 5 Show data context - 12 Show data context 24 Show data context 13 Show data context -
60-- 36 Show data context 34 Show data context 70 Show data context 7 Show data context 27 Show data context 2 Show data context - 6 Show data context 20 Show data context 8 Show data context -
65-- 22 Show data context 32 Show data context 54 Show data context 2 Show data context 14 Show data context 6 Show data context - 5 Show data context 14 Show data context 13 Show data context -
70-- 20 Show data context 27 Show data context 47 Show data context 3 Show data context 12 Show data context 5 Show data context - 6 Show data context 6 Show data context 15 Show data context -
75-- 9 Show data context 14 Show data context 23 Show data context 1 Show data context 6 Show data context 2 Show data context - 3 Show data context 6 Show data context 5 Show data context -
80-- 7 Show data context 14 Show data context 21 Show data context 0 Show data context 4 Show data context 3 Show data context - 5 Show data context 4 Show data context 5 Show data context -
85-- 4 Show data context 6 Show data context 10 Show data context 1 Show data context 2 Show data context 1 Show data context - 0 Show data context 0 Show data context 6 Show data context -
90-- 1 Show data context 3 Show data context 4 Show data context 0 Show data context 0 Show data context 1 Show data context - 1 Show data context 0 Show data context 2 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 - 1 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 -

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.