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 Roxburghshire ScoCnty table Melrose 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. 2,111 Show data context 2,541 Show data context 4,652 Show data context 1,307 Show data context 722 Show data context 82 Show data context - 1,570 Show data context 750 Show data context 221 Show data context -
0 42 Show data context 33 Show data context 75 Show data context 42 Show data context - - - 33 Show data context - - -
1 38 Show data context 32 Show data context 70 Show data context 38 Show data context - - - 32 Show data context - - -
2 36 Show data context 39 Show data context 75 Show data context 36 Show data context - - - 39 Show data context - - -
3 38 Show data context 36 Show data context 74 Show data context 38 Show data context - - - 36 Show data context - - -
4 39 Show data context 33 Show data context 72 Show data context 39 Show data context - - - 33 Show data context - - -
Under 5 193 Show data context 173 Show data context 366 Show data context 193 Show data context 0 Show data context 0 Show data context - 173 Show data context 0 Show data context 0 Show data context -
5-- 185 Show data context 176 Show data context 361 Show data context 185 Show data context 0 Show data context 0 Show data context - 176 Show data context 0 Show data context 0 Show data context -
10-- 187 Show data context 189 Show data context 376 Show data context 187 Show data context 0 Show data context 0 Show data context - 189 Show data context 0 Show data context 0 Show data context -
15-- 180 Show data context 190 Show data context 370 Show data context 180 Show data context 0 Show data context 0 Show data context - 190 Show data context 0 Show data context 0 Show data context -
20-- 179 Show data context 223 Show data context 402 Show data context 168 Show data context 11 Show data context 0 Show data context - 196 Show data context 27 Show data context 0 Show data context -
25-- 174 Show data context 202 Show data context 376 Show data context 123 Show data context 51 Show data context 0 Show data context - 139 Show data context 61 Show data context 2 Show data context -
30-- 136 Show data context 228 Show data context 364 Show data context 55 Show data context 81 Show data context 0 Show data context - 119 Show data context 105 Show data context 4 Show data context -
35-- 137 Show data context 218 Show data context 355 Show data context 44 Show data context 89 Show data context 4 Show data context - 101 Show data context 110 Show data context 7 Show data context -
40-- 128 Show data context 178 Show data context 306 Show data context 38 Show data context 89 Show data context 1 Show data context - 66 Show data context 103 Show data context 9 Show data context -
45-- 132 Show data context 153 Show data context 285 Show data context 36 Show data context 94 Show data context 2 Show data context - 55 Show data context 88 Show data context 10 Show data context -
50-- 123 Show data context 145 Show data context 268 Show data context 32 Show data context 82 Show data context 9 Show data context - 46 Show data context 84 Show data context 15 Show data context -
55-- 94 Show data context 115 Show data context 209 Show data context 25 Show data context 60 Show data context 9 Show data context - 40 Show data context 51 Show data context 24 Show data context -
60-- 95 Show data context 99 Show data context 194 Show data context 19 Show data context 69 Show data context 7 Show data context - 23 Show data context 47 Show data context 29 Show data context -
65-- 65 Show data context 111 Show data context 176 Show data context 11 Show data context 39 Show data context 15 Show data context - 32 Show data context 40 Show data context 39 Show data context -
70-- 54 Show data context 72 Show data context 126 Show data context 6 Show data context 30 Show data context 18 Show data context - 14 Show data context 23 Show data context 35 Show data context -
75-- 37 Show data context 46 Show data context 83 Show data context 3 Show data context 20 Show data context 14 Show data context - 9 Show data context 8 Show data context 29 Show data context -
80-- 9 Show data context 17 Show data context 26 Show data context 2 Show data context 6 Show data context 1 Show data context - 1 Show data context 3 Show data context 13 Show data context -
85-- 3 Show data context 6 Show data context 9 Show data context 0 Show data context 1 Show data context 2 Show data context - 1 Show data context 0 Show data context 5 Show data context -
90-- 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 -
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.