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 Perthshire ScoCnty table Kinnoull 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. 1,565 Show data context 2,255 Show data context 3,820 Show data context 953 Show data context 543 Show data context 69 Show data context - 1,500 Show data context 559 Show data context 196 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 27 Show data context 25 Show data context 52 Show data context 27 Show data context - - - 25 Show data context - - -
2 33 Show data context 24 Show data context 57 Show data context 33 Show data context - - - 24 Show data context - - -
3 41 Show data context 23 Show data context 64 Show data context 41 Show data context - - - 23 Show data context - - -
4 28 Show data context 20 Show data context 48 Show data context 28 Show data context - - - 20 Show data context - - -
Under 5 159 Show data context 120 Show data context 279 Show data context 159 Show data context 0 Show data context 0 Show data context - 120 Show data context 0 Show data context 0 Show data context -
5-- 169 Show data context 141 Show data context 310 Show data context 169 Show data context 0 Show data context 0 Show data context - 141 Show data context 0 Show data context 0 Show data context -
10-- 138 Show data context 159 Show data context 297 Show data context 138 Show data context 0 Show data context 0 Show data context - 159 Show data context 0 Show data context 0 Show data context -
15-- 109 Show data context 235 Show data context 344 Show data context 109 Show data context 0 Show data context 0 Show data context - 234 Show data context 1 Show data context 0 Show data context -
20-- 115 Show data context 240 Show data context 355 Show data context 102 Show data context 13 Show data context 0 Show data context - 216 Show data context 24 Show data context 0 Show data context -
25-- 112 Show data context 222 Show data context 334 Show data context 82 Show data context 30 Show data context 0 Show data context - 167 Show data context 53 Show data context 2 Show data context -
30-- 111 Show data context 187 Show data context 298 Show data context 50 Show data context 59 Show data context 2 Show data context - 115 Show data context 71 Show data context 1 Show data context -
35-- 96 Show data context 170 Show data context 266 Show data context 24 Show data context 70 Show data context 2 Show data context - 78 Show data context 83 Show data context 9 Show data context -
40-- 124 Show data context 147 Show data context 271 Show data context 34 Show data context 87 Show data context 3 Show data context - 58 Show data context 79 Show data context 10 Show data context -
45-- 105 Show data context 140 Show data context 245 Show data context 27 Show data context 71 Show data context 7 Show data context - 52 Show data context 70 Show data context 18 Show data context -
50-- 86 Show data context 119 Show data context 205 Show data context 18 Show data context 63 Show data context 5 Show data context - 47 Show data context 55 Show data context 17 Show data context -
55-- 70 Show data context 109 Show data context 179 Show data context 17 Show data context 50 Show data context 3 Show data context - 30 Show data context 50 Show data context 29 Show data context -
60-- 60 Show data context 72 Show data context 132 Show data context 8 Show data context 41 Show data context 11 Show data context - 25 Show data context 32 Show data context 15 Show data context -
65-- 44 Show data context 73 Show data context 117 Show data context 6 Show data context 28 Show data context 10 Show data context - 27 Show data context 21 Show data context 25 Show data context -
70-- 35 Show data context 54 Show data context 89 Show data context 5 Show data context 16 Show data context 14 Show data context - 16 Show data context 13 Show data context 25 Show data context -
75-- 14 Show data context 34 Show data context 48 Show data context 1 Show data context 7 Show data context 6 Show data context - 5 Show data context 7 Show data context 22 Show data context -
80-- 11 Show data context 21 Show data context 32 Show data context 3 Show data context 6 Show data context 2 Show data context - 5 Show data context 0 Show data context 16 Show data context -
85-- 6 Show data context 10 Show data context 16 Show data context 0 Show data context 2 Show data context 4 Show data context - 5 Show data context 0 Show data context 5 Show data context -
90-- 1 Show data context 2 Show data context 3 Show data context 1 Show data context 0 Show data context 0 Show data context - 0 Show data context 0 Show data context 2 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.