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 Neilston 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. 7,210 Show data context 8,004 Show data context 15,214 Show data context 4,706 Show data context 2,281 Show data context 221 Show data context 2 Show data context 5,121 Show data context 2,377 Show data context 506 Show data context -
0 154 Show data context 171 Show data context 325 Show data context 154 Show data context - - - 171 Show data context - - -
1 152 Show data context 175 Show data context 327 Show data context 152 Show data context - - - 175 Show data context - - -
2 162 Show data context 175 Show data context 337 Show data context 162 Show data context - - - 175 Show data context - - -
3 163 Show data context 187 Show data context 350 Show data context 163 Show data context - - - 187 Show data context - - -
4 164 Show data context 185 Show data context 349 Show data context 164 Show data context - - - 185 Show data context - - -
Under 5 795 Show data context 893 Show data context 1,688 Show data context 795 Show data context 0 Show data context 0 Show data context 0 Show data context 893 Show data context 0 Show data context 0 Show data context -
5-- 862 Show data context 845 Show data context 1,707 Show data context 862 Show data context 0 Show data context 0 Show data context 0 Show data context 845 Show data context 0 Show data context 0 Show data context -
10-- 878 Show data context 815 Show data context 1,693 Show data context 878 Show data context 0 Show data context 0 Show data context 0 Show data context 815 Show data context 0 Show data context 0 Show data context -
15-- 798 Show data context 890 Show data context 1,688 Show data context 797 Show data context 1 Show data context 0 Show data context 0 Show data context 884 Show data context 6 Show data context 0 Show data context -
20-- 647 Show data context 772 Show data context 1,419 Show data context 582 Show data context 64 Show data context 1 Show data context 0 Show data context 638 Show data context 134 Show data context 0 Show data context -
25-- 534 Show data context 656 Show data context 1,190 Show data context 304 Show data context 227 Show data context 1 Show data context 2 Show data context 316 Show data context 338 Show data context 2 Show data context -
30-- 524 Show data context 554 Show data context 1,078 Show data context 170 Show data context 343 Show data context 11 Show data context 0 Show data context 187 Show data context 361 Show data context 6 Show data context -
35-- 461 Show data context 507 Show data context 968 Show data context 111 Show data context 333 Show data context 17 Show data context 0 Show data context 131 Show data context 360 Show data context 16 Show data context -
40-- 406 Show data context 479 Show data context 885 Show data context 66 Show data context 323 Show data context 17 Show data context 0 Show data context 94 Show data context 345 Show data context 40 Show data context -
45-- 364 Show data context 428 Show data context 792 Show data context 50 Show data context 299 Show data context 15 Show data context 0 Show data context 77 Show data context 305 Show data context 46 Show data context -
50-- 307 Show data context 340 Show data context 647 Show data context 27 Show data context 263 Show data context 17 Show data context 0 Show data context 74 Show data context 211 Show data context 55 Show data context -
55-- 230 Show data context 238 Show data context 468 Show data context 27 Show data context 184 Show data context 19 Show data context 0 Show data context 41 Show data context 139 Show data context 58 Show data context -
60-- 146 Show data context 158 Show data context 304 Show data context 14 Show data context 103 Show data context 29 Show data context 0 Show data context 30 Show data context 76 Show data context 52 Show data context -
65-- 113 Show data context 154 Show data context 267 Show data context 8 Show data context 71 Show data context 34 Show data context 0 Show data context 29 Show data context 52 Show data context 73 Show data context -
70-- 82 Show data context 161 Show data context 243 Show data context 9 Show data context 43 Show data context 30 Show data context 0 Show data context 38 Show data context 41 Show data context 82 Show data context -
75-- 42 Show data context 67 Show data context 109 Show data context 4 Show data context 19 Show data context 19 Show data context 0 Show data context 17 Show data context 4 Show data context 46 Show data context -
80-- 14 Show data context 38 Show data context 52 Show data context 2 Show data context 6 Show data context 6 Show data context 0 Show data context 10 Show data context 5 Show data context 23 Show data context -
85-- 5 Show data context 6 Show data context 11 Show data context 0 Show data context 1 Show data context 4 Show data context 0 Show data context 2 Show data context 0 Show data context 4 Show data context -
90-- 1 Show data context 3 Show data context 4 Show data context 0 Show data context 1 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 3 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 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 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.