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 Berwickshire ScoCnty table Coldingham 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. 1,324 Show data context 1,425 Show data context 2,749 Show data context 785 Show data context 468 Show data context 71 Show data context - 831 Show data context 477 Show data context 116 Show data context 1 Show data context
0 27 Show data context 23 Show data context 50 Show data context 27 Show data context - - - 23 Show data context - - -
1 27 Show data context 25 Show data context 52 Show data context 27 Show data context - - - 25 Show data context - - -
2 32 Show data context 20 Show data context 52 Show data context 32 Show data context - - - 20 Show data context - - -
3 29 Show data context 27 Show data context 56 Show data context 29 Show data context - - - 27 Show data context - - -
4 28 Show data context 18 Show data context 46 Show data context 28 Show data context - - - 18 Show data context - - -
Under 5 143 Show data context 113 Show data context 256 Show data context 143 Show data context 0 Show data context 0 Show data context - 113 Show data context 0 Show data context 0 Show data context 0 Show data context
5-- 123 Show data context 119 Show data context 242 Show data context 123 Show data context 0 Show data context 0 Show data context - 119 Show data context 0 Show data context 0 Show data context 0 Show data context
10-- 122 Show data context 123 Show data context 245 Show data context 122 Show data context 0 Show data context 0 Show data context - 123 Show data context 0 Show data context 0 Show data context 0 Show data context
15-- 118 Show data context 113 Show data context 231 Show data context 118 Show data context 0 Show data context 0 Show data context - 113 Show data context 0 Show data context 0 Show data context 0 Show data context
20-- 103 Show data context 108 Show data context 211 Show data context 99 Show data context 4 Show data context 0 Show data context - 93 Show data context 15 Show data context 0 Show data context 0 Show data context
25-- 92 Show data context 105 Show data context 197 Show data context 53 Show data context 39 Show data context 0 Show data context - 60 Show data context 44 Show data context 1 Show data context 0 Show data context
30-- 96 Show data context 124 Show data context 220 Show data context 41 Show data context 55 Show data context 0 Show data context - 53 Show data context 68 Show data context 3 Show data context 0 Show data context
35-- 74 Show data context 113 Show data context 187 Show data context 18 Show data context 55 Show data context 1 Show data context - 34 Show data context 74 Show data context 5 Show data context 0 Show data context
40-- 85 Show data context 87 Show data context 172 Show data context 14 Show data context 65 Show data context 6 Show data context - 26 Show data context 58 Show data context 3 Show data context 0 Show data context
45-- 67 Show data context 82 Show data context 149 Show data context 12 Show data context 52 Show data context 3 Show data context - 24 Show data context 53 Show data context 5 Show data context 0 Show data context
50-- 60 Show data context 71 Show data context 131 Show data context 10 Show data context 45 Show data context 5 Show data context - 17 Show data context 43 Show data context 11 Show data context 0 Show data context
55-- 66 Show data context 67 Show data context 133 Show data context 5 Show data context 56 Show data context 5 Show data context - 15 Show data context 43 Show data context 9 Show data context 0 Show data context
60-- 53 Show data context 57 Show data context 110 Show data context 5 Show data context 38 Show data context 10 Show data context - 11 Show data context 30 Show data context 16 Show data context 0 Show data context
65-- 53 Show data context 56 Show data context 109 Show data context 10 Show data context 31 Show data context 12 Show data context - 17 Show data context 21 Show data context 17 Show data context 1 Show data context
70-- 32 Show data context 45 Show data context 77 Show data context 7 Show data context 15 Show data context 10 Show data context - 4 Show data context 20 Show data context 21 Show data context 0 Show data context
75-- 23 Show data context 23 Show data context 46 Show data context 4 Show data context 8 Show data context 11 Show data context - 4 Show data context 6 Show data context 13 Show data context 0 Show data context
80-- 10 Show data context 13 Show data context 23 Show data context 1 Show data context 4 Show data context 5 Show data context - 5 Show data context 2 Show data context 6 Show data context 0 Show data context
85-- 3 Show data context 4 Show data context 7 Show data context 0 Show data context 1 Show data context 2 Show data context - 0 Show data context 0 Show data context 4 Show data context 0 Show data context
90-- 1 Show data context 2 Show data context 3 Show data context 0 Show data context 0 Show data context 1 Show data context - 0 Show data context 0 Show data context 2 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.