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 Dalmellington 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. 3,323 Show data context 2,860 Show data context 6,183 Show data context 2,229 Show data context 966 Show data context 121 Show data context 7 Show data context 1,739 Show data context 959 Show data context 162 Show data context -
0 92 Show data context 95 Show data context 187 Show data context 92 Show data context - - - 95 Show data context - - -
1 109 Show data context 83 Show data context 192 Show data context 109 Show data context - - - 83 Show data context - - -
2 101 Show data context 94 Show data context 195 Show data context 101 Show data context - - - 94 Show data context - - -
3 86 Show data context 83 Show data context 169 Show data context 86 Show data context - - - 83 Show data context - - -
4 101 Show data context 88 Show data context 189 Show data context 101 Show data context - - - 88 Show data context - - -
Under 5 489 Show data context 443 Show data context 932 Show data context 489 Show data context 0 Show data context 0 Show data context 0 Show data context 443 Show data context 0 Show data context 0 Show data context -
5-- 436 Show data context 426 Show data context 862 Show data context 436 Show data context 0 Show data context 0 Show data context 0 Show data context 426 Show data context 0 Show data context 0 Show data context -
10-- 356 Show data context 381 Show data context 737 Show data context 356 Show data context 0 Show data context 0 Show data context 0 Show data context 381 Show data context 0 Show data context 0 Show data context -
15-- 340 Show data context 206 Show data context 546 Show data context 340 Show data context 0 Show data context 0 Show data context 0 Show data context 202 Show data context 4 Show data context 0 Show data context -
20-- 286 Show data context 180 Show data context 466 Show data context 260 Show data context 22 Show data context 0 Show data context 4 Show data context 114 Show data context 66 Show data context 0 Show data context -
25-- 247 Show data context 232 Show data context 479 Show data context 117 Show data context 127 Show data context 2 Show data context 1 Show data context 67 Show data context 164 Show data context 1 Show data context -
30-- 246 Show data context 196 Show data context 442 Show data context 81 Show data context 159 Show data context 5 Show data context 1 Show data context 27 Show data context 167 Show data context 2 Show data context -
35-- 207 Show data context 163 Show data context 370 Show data context 47 Show data context 152 Show data context 8 Show data context 0 Show data context 18 Show data context 141 Show data context 4 Show data context -
40-- 180 Show data context 141 Show data context 321 Show data context 32 Show data context 141 Show data context 7 Show data context 0 Show data context 18 Show data context 118 Show data context 5 Show data context -
45-- 124 Show data context 107 Show data context 231 Show data context 22 Show data context 93 Show data context 8 Show data context 1 Show data context 8 Show data context 93 Show data context 6 Show data context -
50-- 135 Show data context 99 Show data context 234 Show data context 19 Show data context 97 Show data context 19 Show data context 0 Show data context 10 Show data context 74 Show data context 15 Show data context -
55-- 109 Show data context 98 Show data context 207 Show data context 14 Show data context 79 Show data context 16 Show data context 0 Show data context 10 Show data context 66 Show data context 22 Show data context -
60-- 72 Show data context 64 Show data context 136 Show data context 4 Show data context 55 Show data context 13 Show data context 0 Show data context 6 Show data context 28 Show data context 30 Show data context -
65-- 40 Show data context 56 Show data context 96 Show data context 6 Show data context 20 Show data context 14 Show data context 0 Show data context 3 Show data context 21 Show data context 32 Show data context -
70-- 28 Show data context 36 Show data context 64 Show data context 4 Show data context 13 Show data context 11 Show data context 0 Show data context 5 Show data context 13 Show data context 18 Show data context -
75-- 14 Show data context 17 Show data context 31 Show data context 1 Show data context 3 Show data context 10 Show data context 0 Show data context 0 Show data context 2 Show data context 15 Show data context -
80-- 8 Show data context 8 Show data context 16 Show data context 1 Show data context 3 Show data context 4 Show data context 0 Show data context 1 Show data context 2 Show data context 5 Show data context -
85-- 5 Show data context 4 Show data context 9 Show data context 0 Show data context 2 Show data context 3 Show data context 0 Show data context 0 Show data context 0 Show data context 4 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 0 Show data context 2 Show data context -
95-- 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 -
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.