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 Midlothian ScoCnty table Cockpen 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. 2,785 Show data context 2,774 Show data context 5,559 Show data context 1,791 Show data context 918 Show data context 76 Show data context - 1,668 Show data context 930 Show data context 176 Show data context -
0 79 Show data context 72 Show data context 151 Show data context 79 Show data context - - - 72 Show data context - - -
1 79 Show data context 58 Show data context 137 Show data context 79 Show data context - - - 58 Show data context - - -
2 62 Show data context 95 Show data context 157 Show data context 62 Show data context - - - 95 Show data context - - -
3 80 Show data context 66 Show data context 146 Show data context 80 Show data context - - - 66 Show data context - - -
4 64 Show data context 81 Show data context 145 Show data context 64 Show data context - - - 81 Show data context - - -
Under 5 364 Show data context 372 Show data context 736 Show data context 364 Show data context 0 Show data context 0 Show data context - 372 Show data context 0 Show data context 0 Show data context -
5-- 309 Show data context 349 Show data context 658 Show data context 309 Show data context 0 Show data context 0 Show data context - 349 Show data context 0 Show data context 0 Show data context -
10-- 341 Show data context 265 Show data context 606 Show data context 341 Show data context 0 Show data context 0 Show data context - 265 Show data context 0 Show data context 0 Show data context -
15-- 283 Show data context 252 Show data context 535 Show data context 283 Show data context 0 Show data context 0 Show data context - 248 Show data context 4 Show data context 0 Show data context -
20-- 264 Show data context 220 Show data context 484 Show data context 224 Show data context 40 Show data context 0 Show data context - 156 Show data context 64 Show data context 0 Show data context -
25-- 226 Show data context 218 Show data context 444 Show data context 113 Show data context 109 Show data context 4 Show data context - 84 Show data context 133 Show data context 1 Show data context -
30-- 190 Show data context 205 Show data context 395 Show data context 54 Show data context 133 Show data context 3 Show data context - 47 Show data context 154 Show data context 4 Show data context -
35-- 188 Show data context 159 Show data context 347 Show data context 40 Show data context 144 Show data context 4 Show data context - 22 Show data context 132 Show data context 5 Show data context -
40-- 144 Show data context 167 Show data context 311 Show data context 19 Show data context 124 Show data context 1 Show data context - 37 Show data context 121 Show data context 9 Show data context -
45-- 120 Show data context 132 Show data context 252 Show data context 17 Show data context 101 Show data context 2 Show data context - 23 Show data context 95 Show data context 14 Show data context -
50-- 88 Show data context 105 Show data context 193 Show data context 9 Show data context 72 Show data context 7 Show data context - 21 Show data context 70 Show data context 14 Show data context -
55-- 91 Show data context 93 Show data context 184 Show data context 7 Show data context 73 Show data context 11 Show data context - 15 Show data context 57 Show data context 21 Show data context -
60-- 52 Show data context 73 Show data context 125 Show data context 4 Show data context 40 Show data context 8 Show data context - 8 Show data context 44 Show data context 21 Show data context -
65-- 58 Show data context 74 Show data context 132 Show data context 4 Show data context 42 Show data context 12 Show data context - 10 Show data context 29 Show data context 35 Show data context -
70-- 44 Show data context 53 Show data context 97 Show data context 2 Show data context 27 Show data context 15 Show data context - 6 Show data context 22 Show data context 25 Show data context -
75-- 15 Show data context 20 Show data context 35 Show data context 1 Show data context 10 Show data context 4 Show data context - 2 Show data context 4 Show data context 14 Show data context -
80-- 4 Show data context 10 Show data context 14 Show data context 0 Show data context 2 Show data context 2 Show data context - 2 Show data context 1 Show data context 7 Show data context -
85-- 4 Show data context 4 Show data context 8 Show data context 0 Show data context 1 Show data context 3 Show data context - 0 Show data context 0 Show data context 4 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-- 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.