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 Renfrewshire ScoCnty table Kilmacolm 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. 2,774 Show data context 3,468 Show data context 6,242 Show data context 2,000 Show data context 705 Show data context 68 Show data context 1 Show data context 2,552 Show data context 732 Show data context 184 Show data context -
0 47 Show data context 32 Show data context 79 Show data context 47 Show data context - - - 32 Show data context - - -
1 44 Show data context 34 Show data context 78 Show data context 44 Show data context - - - 34 Show data context - - -
2 43 Show data context 53 Show data context 96 Show data context 43 Show data context - - - 53 Show data context - - -
3 42 Show data context 59 Show data context 101 Show data context 42 Show data context - - - 59 Show data context - - -
4 55 Show data context 60 Show data context 115 Show data context 55 Show data context - - - 60 Show data context - - -
Under 5 231 Show data context 238 Show data context 469 Show data context 231 Show data context 0 Show data context 0 Show data context 0 Show data context 238 Show data context 0 Show data context 0 Show data context -
5-- 466 Show data context 454 Show data context 920 Show data context 466 Show data context 0 Show data context 0 Show data context 0 Show data context 454 Show data context 0 Show data context 0 Show data context -
10-- 567 Show data context 544 Show data context 1,111 Show data context 567 Show data context 0 Show data context 0 Show data context 0 Show data context 544 Show data context 0 Show data context 0 Show data context -
15-- 219 Show data context 334 Show data context 553 Show data context 219 Show data context 0 Show data context 0 Show data context 0 Show data context 332 Show data context 2 Show data context 0 Show data context -
20-- 201 Show data context 354 Show data context 555 Show data context 183 Show data context 18 Show data context 0 Show data context 0 Show data context 312 Show data context 42 Show data context 0 Show data context -
25-- 166 Show data context 299 Show data context 465 Show data context 108 Show data context 57 Show data context 0 Show data context 1 Show data context 214 Show data context 84 Show data context 1 Show data context -
30-- 168 Show data context 250 Show data context 418 Show data context 71 Show data context 94 Show data context 3 Show data context 0 Show data context 122 Show data context 124 Show data context 4 Show data context -
35-- 160 Show data context 238 Show data context 398 Show data context 44 Show data context 113 Show data context 3 Show data context 0 Show data context 87 Show data context 138 Show data context 13 Show data context -
40-- 154 Show data context 176 Show data context 330 Show data context 33 Show data context 116 Show data context 5 Show data context 0 Show data context 80 Show data context 83 Show data context 13 Show data context -
45-- 112 Show data context 148 Show data context 260 Show data context 17 Show data context 84 Show data context 11 Show data context 0 Show data context 40 Show data context 95 Show data context 13 Show data context -
50-- 96 Show data context 123 Show data context 219 Show data context 20 Show data context 69 Show data context 7 Show data context 0 Show data context 45 Show data context 56 Show data context 22 Show data context -
55-- 67 Show data context 87 Show data context 154 Show data context 11 Show data context 51 Show data context 5 Show data context 0 Show data context 33 Show data context 37 Show data context 17 Show data context -
60-- 60 Show data context 76 Show data context 136 Show data context 8 Show data context 42 Show data context 10 Show data context 0 Show data context 17 Show data context 39 Show data context 20 Show data context -
65-- 52 Show data context 54 Show data context 106 Show data context 11 Show data context 27 Show data context 14 Show data context 0 Show data context 12 Show data context 16 Show data context 26 Show data context -
70-- 28 Show data context 43 Show data context 71 Show data context 4 Show data context 22 Show data context 2 Show data context 0 Show data context 10 Show data context 12 Show data context 21 Show data context -
75-- 19 Show data context 27 Show data context 46 Show data context 5 Show data context 10 Show data context 4 Show data context 0 Show data context 7 Show data context 4 Show data context 16 Show data context -
80-- 7 Show data context 15 Show data context 22 Show data context 2 Show data context 2 Show data context 3 Show data context 0 Show data context 5 Show data context 0 Show data context 10 Show data context -
85-- 1 Show data context 6 Show data context 7 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 6 Show data context -
90-- 0 Show data context 1 Show data context 1 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 1 Show data context -
95-- 0 Show data context 1 Show data context 1 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 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 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.