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 Lanarkshire ScoCnty table Avondale 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. 2,324 Show data context 2,709 Show data context 5,033 Show data context 1,481 Show data context 755 Show data context 88 Show data context - 1,719 Show data context 765 Show data context 225 Show data context -
0 37 Show data context 40 Show data context 77 Show data context 37 Show data context - - - 40 Show data context - - -
1 55 Show data context 46 Show data context 101 Show data context 55 Show data context - - - 46 Show data context - - -
2 47 Show data context 52 Show data context 99 Show data context 47 Show data context - - - 52 Show data context - - -
3 47 Show data context 53 Show data context 100 Show data context 47 Show data context - - - 53 Show data context - - -
4 56 Show data context 50 Show data context 106 Show data context 56 Show data context - - - 50 Show data context - - -
Under 5 242 Show data context 241 Show data context 483 Show data context 242 Show data context 0 Show data context 0 Show data context - 241 Show data context 0 Show data context 0 Show data context -
5-- 236 Show data context 232 Show data context 468 Show data context 236 Show data context 0 Show data context 0 Show data context - 232 Show data context 0 Show data context 0 Show data context -
10-- 247 Show data context 224 Show data context 471 Show data context 247 Show data context 0 Show data context 0 Show data context - 224 Show data context 0 Show data context 0 Show data context -
15-- 211 Show data context 326 Show data context 537 Show data context 211 Show data context 0 Show data context 0 Show data context - 323 Show data context 3 Show data context 0 Show data context -
20-- 202 Show data context 252 Show data context 454 Show data context 183 Show data context 19 Show data context 0 Show data context - 217 Show data context 35 Show data context 0 Show data context -
25-- 164 Show data context 212 Show data context 376 Show data context 101 Show data context 63 Show data context 0 Show data context - 133 Show data context 79 Show data context 0 Show data context -
30-- 174 Show data context 184 Show data context 358 Show data context 74 Show data context 99 Show data context 1 Show data context - 75 Show data context 103 Show data context 6 Show data context -
35-- 147 Show data context 159 Show data context 306 Show data context 48 Show data context 98 Show data context 1 Show data context - 53 Show data context 97 Show data context 9 Show data context -
40-- 111 Show data context 162 Show data context 273 Show data context 33 Show data context 69 Show data context 9 Show data context - 63 Show data context 92 Show data context 7 Show data context -
45-- 127 Show data context 138 Show data context 265 Show data context 32 Show data context 91 Show data context 4 Show data context - 29 Show data context 98 Show data context 11 Show data context -
50-- 107 Show data context 156 Show data context 263 Show data context 17 Show data context 88 Show data context 2 Show data context - 39 Show data context 92 Show data context 25 Show data context -
55-- 105 Show data context 105 Show data context 210 Show data context 17 Show data context 80 Show data context 8 Show data context - 19 Show data context 66 Show data context 20 Show data context -
60-- 87 Show data context 87 Show data context 174 Show data context 20 Show data context 61 Show data context 6 Show data context - 17 Show data context 48 Show data context 22 Show data context -
65-- 71 Show data context 89 Show data context 160 Show data context 9 Show data context 47 Show data context 15 Show data context - 27 Show data context 32 Show data context 30 Show data context -
70-- 39 Show data context 75 Show data context 114 Show data context 2 Show data context 19 Show data context 18 Show data context - 16 Show data context 13 Show data context 46 Show data context -
75-- 27 Show data context 39 Show data context 66 Show data context 2 Show data context 14 Show data context 11 Show data context - 9 Show data context 7 Show data context 23 Show data context -
80-- 16 Show data context 19 Show data context 35 Show data context 3 Show data context 4 Show data context 9 Show data context - 0 Show data context 0 Show data context 19 Show data context -
85-- 8 Show data context 8 Show data context 16 Show data context 2 Show data context 2 Show data context 4 Show data context - 2 Show data context 0 Show data context 6 Show data context -
90-- 1 Show data context 1 Show data context 2 Show data context 0 Show data context 1 Show data context 0 Show data context - 0 Show data context 0 Show data context 1 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 -
Not stated 2 Show data context - 2 Show data context 2 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.