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 New 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. 2,059 Show data context 2,021 Show data context 4,080 Show data context 1,400 Show data context 578 Show data context 81 Show data context - 1,303 Show data context 574 Show data context 144 Show data context -
0 41 Show data context 51 Show data context 92 Show data context 41 Show data context - - - 51 Show data context - - -
1 41 Show data context 33 Show data context 74 Show data context 41 Show data context - - - 33 Show data context - - -
2 53 Show data context 33 Show data context 86 Show data context 53 Show data context - - - 33 Show data context - - -
3 43 Show data context 34 Show data context 77 Show data context 43 Show data context - - - 34 Show data context - - -
4 44 Show data context 37 Show data context 81 Show data context 44 Show data context - - - 37 Show data context - - -
Under 5 222 Show data context 188 Show data context 410 Show data context 222 Show data context 0 Show data context 0 Show data context - 188 Show data context 0 Show data context 0 Show data context -
5-- 233 Show data context 211 Show data context 444 Show data context 233 Show data context 0 Show data context 0 Show data context - 211 Show data context 0 Show data context 0 Show data context -
10-- 233 Show data context 205 Show data context 438 Show data context 233 Show data context 0 Show data context 0 Show data context - 205 Show data context 0 Show data context 0 Show data context -
15-- 282 Show data context 234 Show data context 516 Show data context 282 Show data context 0 Show data context 0 Show data context - 230 Show data context 4 Show data context 0 Show data context -
20-- 126 Show data context 147 Show data context 273 Show data context 115 Show data context 11 Show data context 0 Show data context - 126 Show data context 21 Show data context 0 Show data context -
25-- 112 Show data context 121 Show data context 233 Show data context 85 Show data context 27 Show data context 0 Show data context - 73 Show data context 48 Show data context 0 Show data context -
30-- 97 Show data context 136 Show data context 233 Show data context 44 Show data context 53 Show data context 0 Show data context - 66 Show data context 68 Show data context 2 Show data context -
35-- 126 Show data context 117 Show data context 243 Show data context 57 Show data context 68 Show data context 1 Show data context - 33 Show data context 81 Show data context 3 Show data context -
40-- 113 Show data context 111 Show data context 224 Show data context 26 Show data context 82 Show data context 5 Show data context - 26 Show data context 81 Show data context 4 Show data context -
45-- 97 Show data context 98 Show data context 195 Show data context 28 Show data context 68 Show data context 1 Show data context - 25 Show data context 70 Show data context 3 Show data context -
50-- 115 Show data context 101 Show data context 216 Show data context 27 Show data context 76 Show data context 12 Show data context - 27 Show data context 64 Show data context 10 Show data context -
55-- 77 Show data context 82 Show data context 159 Show data context 12 Show data context 53 Show data context 12 Show data context - 22 Show data context 42 Show data context 18 Show data context -
60-- 77 Show data context 80 Show data context 157 Show data context 14 Show data context 51 Show data context 12 Show data context - 17 Show data context 49 Show data context 14 Show data context -
65-- 60 Show data context 74 Show data context 134 Show data context 6 Show data context 45 Show data context 9 Show data context - 26 Show data context 29 Show data context 19 Show data context -
70-- 45 Show data context 48 Show data context 93 Show data context 9 Show data context 29 Show data context 7 Show data context - 11 Show data context 11 Show data context 26 Show data context -
75-- 18 Show data context 40 Show data context 58 Show data context 4 Show data context 9 Show data context 5 Show data context - 13 Show data context 3 Show data context 24 Show data context -
80-- 22 Show data context 18 Show data context 40 Show data context 2 Show data context 5 Show data context 15 Show data context - 3 Show data context 1 Show data context 14 Show data context -
85-- 3 Show data context 7 Show data context 10 Show data context 1 Show data context 1 Show data context 1 Show data context - 0 Show data context 2 Show data context 5 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 - 1 Show data context 0 Show data context 2 Show data context -
95-- 1 Show data context 0 Show data context 1 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 -
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.