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".

List Dumfries Shire ScoCnty Moffat 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. 1,198 Show data context 1,504 Show data context 2,702 Show data context 746 Show data context 398 Show data context 54 Show data context - 982 Show data context 396 Show data context 125 Show data context 1 Show data context
0 21 Show data context 21 Show data context 42 Show data context 21 Show data context - - - 21 Show data context - - -
1 33 Show data context 23 Show data context 56 Show data context 33 Show data context - - - 23 Show data context - - -
2 17 Show data context 13 Show data context 30 Show data context 17 Show data context - - - 13 Show data context - - -
3 28 Show data context 11 Show data context 39 Show data context 28 Show data context - - - 11 Show data context - - -
4 23 Show data context 18 Show data context 41 Show data context 23 Show data context - - - 18 Show data context - - -
Under 5 122 Show data context 86 Show data context 208 Show data context 122 Show data context 0 Show data context 0 Show data context - 86 Show data context 0 Show data context 0 Show data context 0 Show data context
5-- 106 Show data context 120 Show data context 226 Show data context 106 Show data context 0 Show data context 0 Show data context - 120 Show data context 0 Show data context 0 Show data context 0 Show data context
10-- 183 Show data context 102 Show data context 285 Show data context 183 Show data context 0 Show data context 0 Show data context - 102 Show data context 0 Show data context 0 Show data context 0 Show data context
15-- 106 Show data context 131 Show data context 237 Show data context 106 Show data context 0 Show data context 0 Show data context - 131 Show data context 0 Show data context 0 Show data context 0 Show data context
20-- 75 Show data context 143 Show data context 218 Show data context 70 Show data context 5 Show data context 0 Show data context - 127 Show data context 16 Show data context 0 Show data context 0 Show data context
25-- 73 Show data context 122 Show data context 195 Show data context 41 Show data context 32 Show data context 0 Show data context - 79 Show data context 41 Show data context 2 Show data context 0 Show data context
30-- 67 Show data context 118 Show data context 185 Show data context 30 Show data context 37 Show data context 0 Show data context - 65 Show data context 49 Show data context 4 Show data context 0 Show data context
35-- 70 Show data context 114 Show data context 184 Show data context 24 Show data context 46 Show data context 0 Show data context - 56 Show data context 55 Show data context 3 Show data context 0 Show data context
40-- 80 Show data context 103 Show data context 183 Show data context 17 Show data context 56 Show data context 7 Show data context - 43 Show data context 54 Show data context 5 Show data context 1 Show data context
45-- 63 Show data context 97 Show data context 160 Show data context 12 Show data context 48 Show data context 3 Show data context - 38 Show data context 52 Show data context 7 Show data context 0 Show data context
50-- 62 Show data context 91 Show data context 153 Show data context 10 Show data context 49 Show data context 3 Show data context - 43 Show data context 39 Show data context 9 Show data context 0 Show data context
55-- 46 Show data context 77 Show data context 123 Show data context 5 Show data context 36 Show data context 5 Show data context - 29 Show data context 32 Show data context 16 Show data context 0 Show data context
60-- 41 Show data context 63 Show data context 104 Show data context 4 Show data context 34 Show data context 3 Show data context - 20 Show data context 19 Show data context 24 Show data context 0 Show data context
65-- 48 Show data context 52 Show data context 100 Show data context 1 Show data context 32 Show data context 15 Show data context - 15 Show data context 21 Show data context 16 Show data context 0 Show data context
70-- 27 Show data context 38 Show data context 65 Show data context 10 Show data context 10 Show data context 7 Show data context - 11 Show data context 11 Show data context 16 Show data context 0 Show data context
75-- 13 Show data context 24 Show data context 37 Show data context 3 Show data context 6 Show data context 4 Show data context - 6 Show data context 4 Show data context 14 Show data context 0 Show data context
80-- 11 Show data context 16 Show data context 27 Show data context 1 Show data context 5 Show data context 5 Show data context - 8 Show data context 3 Show data context 5 Show data context 0 Show data context
85-- 4 Show data context 4 Show data context 8 Show data context 1 Show data context 2 Show data context 1 Show data context - 2 Show data context 0 Show data context 2 Show data context 0 Show data context
90-- 1 Show data context 1 Show data context 2 Show data context 0 Show data context 0 Show data context 1 Show data context - 1 Show data context 0 Show data context 0 Show data context 0 Show data context
95-- 0 Show data context 2 Show data context 2 Show data context 0 Show data context 0 Show data context 0 Show data context - 0 Show data context 0 Show data context 2 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

Comments:

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

Click on the triangles for all about a particular number.

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.