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 Ayrshire ScoCnty table Dreghorn 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. 2,232 Show data context 2,141 Show data context 4,373 Show data context 1,484 Show data context 694 Show data context 54 Show data context - 1,312 Show data context 705 Show data context 124 Show data context -
0 70 Show data context 67 Show data context 137 Show data context 70 Show data context - - - 67 Show data context - - -
1 54 Show data context 66 Show data context 120 Show data context 54 Show data context - - - 66 Show data context - - -
2 48 Show data context 66 Show data context 114 Show data context 48 Show data context - - - 66 Show data context - - -
3 66 Show data context 65 Show data context 131 Show data context 66 Show data context - - - 65 Show data context - - -
4 60 Show data context 82 Show data context 142 Show data context 60 Show data context - - - 82 Show data context - - -
Under 5 298 Show data context 346 Show data context 644 Show data context 298 Show data context 0 Show data context 0 Show data context - 346 Show data context 0 Show data context 0 Show data context -
5-- 312 Show data context 304 Show data context 616 Show data context 312 Show data context 0 Show data context 0 Show data context - 304 Show data context 0 Show data context 0 Show data context -
10-- 282 Show data context 260 Show data context 542 Show data context 282 Show data context 0 Show data context 0 Show data context - 260 Show data context 0 Show data context 0 Show data context -
15-- 252 Show data context 176 Show data context 428 Show data context 252 Show data context 0 Show data context 0 Show data context - 171 Show data context 5 Show data context 0 Show data context -
20-- 202 Show data context 163 Show data context 365 Show data context 170 Show data context 31 Show data context 1 Show data context - 105 Show data context 58 Show data context 0 Show data context -
25-- 162 Show data context 162 Show data context 324 Show data context 77 Show data context 85 Show data context 0 Show data context - 52 Show data context 108 Show data context 2 Show data context -
30-- 148 Show data context 149 Show data context 297 Show data context 37 Show data context 108 Show data context 3 Show data context - 24 Show data context 123 Show data context 2 Show data context -
35-- 131 Show data context 136 Show data context 267 Show data context 15 Show data context 113 Show data context 3 Show data context - 20 Show data context 111 Show data context 5 Show data context -
40-- 108 Show data context 87 Show data context 195 Show data context 16 Show data context 88 Show data context 4 Show data context - 8 Show data context 75 Show data context 4 Show data context -
45-- 90 Show data context 70 Show data context 160 Show data context 7 Show data context 79 Show data context 4 Show data context - 7 Show data context 61 Show data context 2 Show data context -
50-- 79 Show data context 77 Show data context 156 Show data context 7 Show data context 70 Show data context 2 Show data context - 4 Show data context 62 Show data context 11 Show data context -
55-- 67 Show data context 63 Show data context 130 Show data context 5 Show data context 51 Show data context 11 Show data context - 1 Show data context 48 Show data context 14 Show data context -
60-- 39 Show data context 44 Show data context 83 Show data context 2 Show data context 29 Show data context 8 Show data context - 1 Show data context 24 Show data context 19 Show data context -
65-- 29 Show data context 36 Show data context 65 Show data context 2 Show data context 23 Show data context 4 Show data context - 5 Show data context 9 Show data context 22 Show data context -
70-- 17 Show data context 40 Show data context 57 Show data context 2 Show data context 10 Show data context 5 Show data context - 3 Show data context 16 Show data context 21 Show data context -
75-- 12 Show data context 13 Show data context 25 Show data context 0 Show data context 6 Show data context 6 Show data context - 1 Show data context 4 Show data context 8 Show data context -
80-- 2 Show data context 13 Show data context 15 Show data context 0 Show data context 0 Show data context 2 Show data context - 0 Show data context 1 Show data context 12 Show data context -
85-- 2 Show data context 2 Show data context 4 Show data context 0 Show data context 1 Show data context 1 Show data context - 0 Show data context 0 Show data context 2 Show data context -
90-- 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 -
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 -
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.