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 Blairgowrie 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. 1,918 Show data context 2,401 Show data context 4,319 Show data context 1,152 Show data context 687 Show data context 79 Show data context - 1,473 Show data context 723 Show data context 205 Show data context -
0 37 Show data context 45 Show data context 82 Show data context 37 Show data context - - - 45 Show data context - - -
1 36 Show data context 29 Show data context 65 Show data context 36 Show data context - - - 29 Show data context - - -
2 35 Show data context 39 Show data context 74 Show data context 35 Show data context - - - 39 Show data context - - -
3 41 Show data context 30 Show data context 71 Show data context 41 Show data context - - - 30 Show data context - - -
4 39 Show data context 34 Show data context 73 Show data context 39 Show data context - - - 34 Show data context - - -
Under 5 188 Show data context 177 Show data context 365 Show data context 188 Show data context 0 Show data context 0 Show data context - 177 Show data context 0 Show data context 0 Show data context -
5-- 202 Show data context 181 Show data context 383 Show data context 202 Show data context 0 Show data context 0 Show data context - 181 Show data context 0 Show data context 0 Show data context -
10-- 197 Show data context 204 Show data context 401 Show data context 197 Show data context 0 Show data context 0 Show data context - 204 Show data context 0 Show data context 0 Show data context -
15-- 198 Show data context 169 Show data context 367 Show data context 198 Show data context 0 Show data context 0 Show data context - 169 Show data context 0 Show data context 0 Show data context -
20-- 122 Show data context 178 Show data context 300 Show data context 113 Show data context 9 Show data context 0 Show data context - 157 Show data context 20 Show data context 1 Show data context -
25-- 130 Show data context 191 Show data context 321 Show data context 85 Show data context 45 Show data context 0 Show data context - 121 Show data context 70 Show data context 0 Show data context -
30-- 116 Show data context 174 Show data context 290 Show data context 41 Show data context 75 Show data context 0 Show data context - 77 Show data context 95 Show data context 2 Show data context -
35-- 131 Show data context 169 Show data context 300 Show data context 36 Show data context 95 Show data context 0 Show data context - 63 Show data context 101 Show data context 5 Show data context -
40-- 115 Show data context 157 Show data context 272 Show data context 20 Show data context 92 Show data context 3 Show data context - 57 Show data context 91 Show data context 9 Show data context -
45-- 104 Show data context 162 Show data context 266 Show data context 22 Show data context 78 Show data context 4 Show data context - 58 Show data context 94 Show data context 10 Show data context -
50-- 111 Show data context 132 Show data context 243 Show data context 16 Show data context 85 Show data context 10 Show data context - 39 Show data context 82 Show data context 11 Show data context -
55-- 88 Show data context 123 Show data context 211 Show data context 11 Show data context 71 Show data context 6 Show data context - 45 Show data context 56 Show data context 22 Show data context -
60-- 70 Show data context 110 Show data context 180 Show data context 8 Show data context 54 Show data context 8 Show data context - 25 Show data context 54 Show data context 31 Show data context -
65-- 61 Show data context 102 Show data context 163 Show data context 6 Show data context 38 Show data context 17 Show data context - 33 Show data context 29 Show data context 40 Show data context -
70-- 55 Show data context 79 Show data context 134 Show data context 5 Show data context 30 Show data context 20 Show data context - 26 Show data context 21 Show data context 32 Show data context -
75-- 17 Show data context 53 Show data context 70 Show data context 2 Show data context 11 Show data context 4 Show data context - 27 Show data context 7 Show data context 19 Show data context -
80-- 12 Show data context 22 Show data context 34 Show data context 1 Show data context 4 Show data context 7 Show data context - 9 Show data context 3 Show data context 10 Show data context -
85-- 1 Show data context 15 Show data context 16 Show data context 1 Show data context 0 Show data context 0 Show data context - 5 Show data context 0 Show data context 10 Show data context -
90-- 0 Show data context 3 Show data context 3 Show data context 0 Show data context 0 Show data context 0 Show data context - 0 Show data context 0 Show data context 3 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.