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 Aberdeenshire ScoCnty table Old Deer 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. 1,769 Show data context 1,972 Show data context 3,741 Show data context 1,148 Show data context 557 Show data context 64 Show data context - 1,251 Show data context 573 Show data context 148 Show data context -
0 49 Show data context 47 Show data context 96 Show data context 49 Show data context - - - 47 Show data context - - -
1 38 Show data context 39 Show data context 77 Show data context 38 Show data context - - - 39 Show data context - - -
2 41 Show data context 48 Show data context 89 Show data context 41 Show data context - - - 48 Show data context - - -
3 31 Show data context 36 Show data context 67 Show data context 31 Show data context - - - 36 Show data context - - -
4 53 Show data context 42 Show data context 95 Show data context 53 Show data context - - - 42 Show data context - - -
Under 5 212 Show data context 212 Show data context 424 Show data context 212 Show data context 0 Show data context 0 Show data context - 212 Show data context 0 Show data context 0 Show data context -
5-- 190 Show data context 208 Show data context 398 Show data context 190 Show data context 0 Show data context 0 Show data context - 208 Show data context 0 Show data context 0 Show data context -
10-- 214 Show data context 224 Show data context 438 Show data context 214 Show data context 0 Show data context 0 Show data context - 224 Show data context 0 Show data context 0 Show data context -
15-- 204 Show data context 160 Show data context 364 Show data context 204 Show data context 0 Show data context 0 Show data context - 158 Show data context 2 Show data context 0 Show data context -
20-- 128 Show data context 144 Show data context 272 Show data context 110 Show data context 18 Show data context 0 Show data context - 111 Show data context 33 Show data context 0 Show data context -
25-- 108 Show data context 130 Show data context 238 Show data context 70 Show data context 38 Show data context 0 Show data context - 76 Show data context 52 Show data context 2 Show data context -
30-- 103 Show data context 123 Show data context 226 Show data context 37 Show data context 65 Show data context 1 Show data context - 47 Show data context 74 Show data context 2 Show data context -
35-- 78 Show data context 113 Show data context 191 Show data context 27 Show data context 49 Show data context 2 Show data context - 47 Show data context 61 Show data context 5 Show data context -
40-- 84 Show data context 98 Show data context 182 Show data context 21 Show data context 59 Show data context 4 Show data context - 30 Show data context 63 Show data context 5 Show data context -
45-- 88 Show data context 93 Show data context 181 Show data context 16 Show data context 70 Show data context 2 Show data context - 25 Show data context 65 Show data context 3 Show data context -
50-- 62 Show data context 85 Show data context 147 Show data context 9 Show data context 48 Show data context 5 Show data context - 24 Show data context 54 Show data context 7 Show data context -
55-- 76 Show data context 88 Show data context 164 Show data context 7 Show data context 64 Show data context 5 Show data context - 11 Show data context 59 Show data context 18 Show data context -
60-- 68 Show data context 83 Show data context 151 Show data context 12 Show data context 51 Show data context 5 Show data context - 23 Show data context 41 Show data context 19 Show data context -
65-- 58 Show data context 85 Show data context 143 Show data context 9 Show data context 40 Show data context 9 Show data context - 23 Show data context 36 Show data context 26 Show data context -
70-- 48 Show data context 47 Show data context 95 Show data context 5 Show data context 31 Show data context 12 Show data context - 8 Show data context 19 Show data context 20 Show data context -
75-- 27 Show data context 35 Show data context 62 Show data context 3 Show data context 18 Show data context 6 Show data context - 10 Show data context 9 Show data context 16 Show data context -
80-- 15 Show data context 31 Show data context 46 Show data context 2 Show data context 5 Show data context 8 Show data context - 11 Show data context 4 Show data context 16 Show data context -
85-- 5 Show data context 7 Show data context 12 Show data context 0 Show data context 1 Show data context 4 Show data context - 1 Show data context 0 Show data context 6 Show data context -
90-- 1 Show data context 4 Show data context 5 Show data context 0 Show data context 0 Show data context 1 Show data context - 2 Show data context 0 Show data context 2 Show data context -
95-- 0 Show data context 2 Show data context 2 Show data context 0 Show data context 0 Show data context 0 Show data context - 0 Show data context 1 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 -

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.