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 Argyll ScoCnty table Kilchoman 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. 1,066 Show data context 1,021 Show data context 2,087 Show data context 789 Show data context 227 Show data context 50 Show data context - 662 Show data context 251 Show data context 107 Show data context 1 Show data context
0 19 Show data context 14 Show data context 33 Show data context 19 Show data context - - - 14 Show data context - - -
1 19 Show data context 23 Show data context 42 Show data context 19 Show data context - - - 23 Show data context - - -
2 22 Show data context 14 Show data context 36 Show data context 22 Show data context - - - 14 Show data context - - -
3 19 Show data context 24 Show data context 43 Show data context 19 Show data context - - - 24 Show data context - - -
4 26 Show data context 29 Show data context 55 Show data context 26 Show data context - - - 29 Show data context - - -
Under 5 105 Show data context 104 Show data context 209 Show data context 105 Show data context 0 Show data context 0 Show data context - 104 Show data context 0 Show data context 0 Show data context 0 Show data context
5-- 119 Show data context 118 Show data context 237 Show data context 119 Show data context 0 Show data context 0 Show data context - 118 Show data context 0 Show data context 0 Show data context 0 Show data context
10-- 126 Show data context 115 Show data context 241 Show data context 126 Show data context 0 Show data context 0 Show data context - 115 Show data context 0 Show data context 0 Show data context 0 Show data context
15-- 109 Show data context 76 Show data context 185 Show data context 109 Show data context 0 Show data context 0 Show data context - 75 Show data context 1 Show data context 0 Show data context 0 Show data context
20-- 53 Show data context 53 Show data context 106 Show data context 53 Show data context 0 Show data context 0 Show data context - 50 Show data context 2 Show data context 1 Show data context 0 Show data context
25-- 49 Show data context 68 Show data context 117 Show data context 40 Show data context 9 Show data context 0 Show data context - 45 Show data context 23 Show data context 0 Show data context 0 Show data context
30-- 46 Show data context 60 Show data context 106 Show data context 34 Show data context 12 Show data context 0 Show data context - 21 Show data context 35 Show data context 4 Show data context 0 Show data context
35-- 54 Show data context 56 Show data context 110 Show data context 35 Show data context 19 Show data context 0 Show data context - 21 Show data context 32 Show data context 3 Show data context 0 Show data context
40-- 62 Show data context 68 Show data context 130 Show data context 32 Show data context 28 Show data context 2 Show data context - 31 Show data context 32 Show data context 5 Show data context 0 Show data context
45-- 54 Show data context 52 Show data context 106 Show data context 23 Show data context 30 Show data context 1 Show data context - 18 Show data context 28 Show data context 6 Show data context 0 Show data context
50-- 68 Show data context 45 Show data context 113 Show data context 33 Show data context 33 Show data context 2 Show data context - 10 Show data context 24 Show data context 11 Show data context 0 Show data context
55-- 41 Show data context 39 Show data context 80 Show data context 21 Show data context 16 Show data context 4 Show data context - 16 Show data context 16 Show data context 7 Show data context 0 Show data context
60-- 48 Show data context 38 Show data context 86 Show data context 20 Show data context 21 Show data context 7 Show data context - 6 Show data context 21 Show data context 11 Show data context 0 Show data context
65-- 45 Show data context 38 Show data context 83 Show data context 14 Show data context 26 Show data context 5 Show data context - 6 Show data context 22 Show data context 10 Show data context 0 Show data context
70-- 51 Show data context 37 Show data context 88 Show data context 18 Show data context 22 Show data context 11 Show data context - 12 Show data context 8 Show data context 17 Show data context 0 Show data context
75-- 19 Show data context 23 Show data context 42 Show data context 4 Show data context 7 Show data context 8 Show data context - 5 Show data context 5 Show data context 12 Show data context 1 Show data context
80-- 10 Show data context 21 Show data context 31 Show data context 1 Show data context 3 Show data context 6 Show data context - 6 Show data context 1 Show data context 14 Show data context 0 Show data context
85-- 3 Show data context 9 Show data context 12 Show data context 0 Show data context 1 Show data context 2 Show data context - 3 Show data context 1 Show data context 5 Show data context 0 Show data context
90-- 4 Show data context 1 Show data context 5 Show data context 2 Show data context 0 Show data context 2 Show data context - 0 Show data context 0 Show data context 1 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 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 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.