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 Inverness Shire ScoCnty table Urquhart and Glenmoriston 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. 802 Show data context 873 Show data context 1,675 Show data context 540 Show data context 223 Show data context 39 Show data context - 558 Show data context 211 Show data context 104 Show data context -
0 12 Show data context 9 Show data context 21 Show data context 12 Show data context - - - 9 Show data context - - -
1 8 Show data context 11 Show data context 19 Show data context 8 Show data context - - - 11 Show data context - - -
2 14 Show data context 12 Show data context 26 Show data context 14 Show data context - - - 12 Show data context - - -
3 14 Show data context 12 Show data context 26 Show data context 14 Show data context - - - 12 Show data context - - -
4 7 Show data context 15 Show data context 22 Show data context 7 Show data context - - - 15 Show data context - - -
Under 5 55 Show data context 59 Show data context 114 Show data context 55 Show data context 0 Show data context 0 Show data context - 59 Show data context 0 Show data context 0 Show data context -
5-- 65 Show data context 65 Show data context 130 Show data context 65 Show data context 0 Show data context 0 Show data context - 65 Show data context 0 Show data context 0 Show data context -
10-- 74 Show data context 75 Show data context 149 Show data context 74 Show data context 0 Show data context 0 Show data context - 75 Show data context 0 Show data context 0 Show data context -
15-- 71 Show data context 74 Show data context 145 Show data context 70 Show data context 1 Show data context 0 Show data context - 74 Show data context 0 Show data context 0 Show data context -
20-- 58 Show data context 51 Show data context 109 Show data context 57 Show data context 1 Show data context 0 Show data context - 45 Show data context 6 Show data context 0 Show data context -
25-- 49 Show data context 51 Show data context 100 Show data context 43 Show data context 6 Show data context 0 Show data context - 40 Show data context 11 Show data context 0 Show data context -
30-- 43 Show data context 52 Show data context 95 Show data context 29 Show data context 14 Show data context 0 Show data context - 24 Show data context 25 Show data context 3 Show data context -
35-- 44 Show data context 37 Show data context 81 Show data context 26 Show data context 17 Show data context 1 Show data context - 23 Show data context 12 Show data context 2 Show data context -
40-- 45 Show data context 62 Show data context 107 Show data context 25 Show data context 20 Show data context 0 Show data context - 23 Show data context 34 Show data context 5 Show data context -
45-- 57 Show data context 55 Show data context 112 Show data context 21 Show data context 33 Show data context 3 Show data context - 20 Show data context 30 Show data context 5 Show data context -
50-- 56 Show data context 52 Show data context 108 Show data context 20 Show data context 31 Show data context 5 Show data context - 20 Show data context 23 Show data context 9 Show data context -
55-- 47 Show data context 41 Show data context 88 Show data context 15 Show data context 32 Show data context 0 Show data context - 12 Show data context 20 Show data context 9 Show data context -
60-- 36 Show data context 42 Show data context 78 Show data context 13 Show data context 19 Show data context 4 Show data context - 16 Show data context 19 Show data context 7 Show data context -
65-- 28 Show data context 46 Show data context 74 Show data context 6 Show data context 16 Show data context 6 Show data context - 16 Show data context 16 Show data context 14 Show data context -
70-- 29 Show data context 36 Show data context 65 Show data context 11 Show data context 11 Show data context 7 Show data context - 17 Show data context 9 Show data context 10 Show data context -
75-- 27 Show data context 38 Show data context 65 Show data context 10 Show data context 11 Show data context 6 Show data context - 17 Show data context 3 Show data context 18 Show data context -
80-- 15 Show data context 19 Show data context 34 Show data context 0 Show data context 10 Show data context 5 Show data context - 5 Show data context 3 Show data context 11 Show data context -
85-- 1 Show data context 14 Show data context 15 Show data context 0 Show data context 0 Show data context 1 Show data context - 4 Show data context 0 Show data context 10 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 - 2 Show data context 0 Show data context 1 Show data context -
95-- 1 Show data context 1 Show data context 2 Show data context 0 Show data context 1 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.