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 Wigtownshire ScoCnty table Penninghame 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. 1,367 Show data context 1,692 Show data context 3,059 Show data context 845 Show data context 465 Show data context 53 Show data context 4 Show data context 1,080 Show data context 478 Show data context 134 Show data context -
0 30 Show data context 28 Show data context 58 Show data context 30 Show data context - - - 28 Show data context - - -
1 26 Show data context 29 Show data context 55 Show data context 26 Show data context - - - 29 Show data context - - -
2 24 Show data context 32 Show data context 56 Show data context 24 Show data context - - - 32 Show data context - - -
3 25 Show data context 31 Show data context 56 Show data context 25 Show data context - - - 31 Show data context - - -
4 21 Show data context 32 Show data context 53 Show data context 21 Show data context - - - 32 Show data context - - -
Under 5 126 Show data context 152 Show data context 278 Show data context 126 Show data context 0 Show data context 0 Show data context 0 Show data context 152 Show data context 0 Show data context 0 Show data context -
5-- 148 Show data context 139 Show data context 287 Show data context 148 Show data context 0 Show data context 0 Show data context 0 Show data context 139 Show data context 0 Show data context 0 Show data context -
10-- 133 Show data context 174 Show data context 307 Show data context 133 Show data context 0 Show data context 0 Show data context 0 Show data context 174 Show data context 0 Show data context 0 Show data context -
15-- 150 Show data context 164 Show data context 314 Show data context 149 Show data context 1 Show data context 0 Show data context 0 Show data context 161 Show data context 3 Show data context 0 Show data context -
20-- 108 Show data context 156 Show data context 264 Show data context 95 Show data context 11 Show data context 0 Show data context 2 Show data context 130 Show data context 26 Show data context 0 Show data context -
25-- 103 Show data context 141 Show data context 244 Show data context 60 Show data context 43 Show data context 0 Show data context 0 Show data context 82 Show data context 56 Show data context 3 Show data context -
30-- 76 Show data context 97 Show data context 173 Show data context 31 Show data context 45 Show data context 0 Show data context 0 Show data context 35 Show data context 61 Show data context 1 Show data context -
35-- 95 Show data context 122 Show data context 217 Show data context 24 Show data context 68 Show data context 2 Show data context 1 Show data context 50 Show data context 69 Show data context 3 Show data context -
40-- 69 Show data context 85 Show data context 154 Show data context 14 Show data context 54 Show data context 1 Show data context 0 Show data context 21 Show data context 59 Show data context 5 Show data context -
45-- 85 Show data context 93 Show data context 178 Show data context 17 Show data context 65 Show data context 3 Show data context 0 Show data context 32 Show data context 56 Show data context 5 Show data context -
50-- 61 Show data context 75 Show data context 136 Show data context 11 Show data context 46 Show data context 3 Show data context 1 Show data context 25 Show data context 39 Show data context 11 Show data context -
55-- 53 Show data context 88 Show data context 141 Show data context 13 Show data context 34 Show data context 6 Show data context 0 Show data context 26 Show data context 45 Show data context 17 Show data context -
60-- 67 Show data context 67 Show data context 134 Show data context 9 Show data context 50 Show data context 8 Show data context 0 Show data context 15 Show data context 27 Show data context 25 Show data context -
65-- 34 Show data context 51 Show data context 85 Show data context 8 Show data context 23 Show data context 3 Show data context 0 Show data context 8 Show data context 20 Show data context 23 Show data context -
70-- 30 Show data context 45 Show data context 75 Show data context 4 Show data context 15 Show data context 11 Show data context 0 Show data context 17 Show data context 10 Show data context 18 Show data context -
75-- 14 Show data context 24 Show data context 38 Show data context 3 Show data context 4 Show data context 7 Show data context 0 Show data context 5 Show data context 6 Show data context 13 Show data context -
80-- 12 Show data context 9 Show data context 21 Show data context 0 Show data context 6 Show data context 6 Show data context 0 Show data context 4 Show data context 0 Show data context 5 Show data context -
85-- 2 Show data context 9 Show data context 11 Show data context 0 Show data context 0 Show data context 2 Show data context 0 Show data context 4 Show data context 1 Show data context 4 Show data context -
90-- 0 Show data context 1 Show data context 1 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 1 Show data context -
95-- 1 Show data context 0 Show data context 1 Show data context 0 Show data context 0 Show data context 1 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.