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 Inverness Shire ScoCnty table Harris 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. 2,545 Show data context 2,904 Show data context 5,449 Show data context 1,700 Show data context 756 Show data context 89 Show data context - 1,884 Show data context 781 Show data context 239 Show data context -
0 75 Show data context 62 Show data context 137 Show data context 75 Show data context - - - 62 Show data context - - -
1 63 Show data context 65 Show data context 128 Show data context 63 Show data context - - - 65 Show data context - - -
2 70 Show data context 52 Show data context 122 Show data context 70 Show data context - - - 52 Show data context - - -
3 60 Show data context 68 Show data context 128 Show data context 60 Show data context - - - 68 Show data context - - -
4 62 Show data context 72 Show data context 134 Show data context 62 Show data context - - - 72 Show data context - - -
Under 5 330 Show data context 319 Show data context 649 Show data context 330 Show data context 0 Show data context 0 Show data context - 319 Show data context 0 Show data context 0 Show data context -
5-- 331 Show data context 297 Show data context 628 Show data context 331 Show data context 0 Show data context 0 Show data context - 297 Show data context 0 Show data context 0 Show data context -
10-- 309 Show data context 295 Show data context 604 Show data context 309 Show data context 0 Show data context 0 Show data context - 295 Show data context 0 Show data context 0 Show data context -
15-- 238 Show data context 261 Show data context 499 Show data context 238 Show data context 0 Show data context 0 Show data context - 260 Show data context 1 Show data context 0 Show data context -
20-- 166 Show data context 211 Show data context 377 Show data context 161 Show data context 4 Show data context 1 Show data context - 187 Show data context 24 Show data context 0 Show data context -
25-- 126 Show data context 182 Show data context 308 Show data context 103 Show data context 23 Show data context 0 Show data context - 113 Show data context 68 Show data context 1 Show data context -
30-- 143 Show data context 203 Show data context 346 Show data context 81 Show data context 61 Show data context 1 Show data context - 95 Show data context 104 Show data context 4 Show data context -
35-- 138 Show data context 190 Show data context 328 Show data context 51 Show data context 82 Show data context 5 Show data context - 69 Show data context 113 Show data context 8 Show data context -
40-- 142 Show data context 158 Show data context 300 Show data context 31 Show data context 107 Show data context 4 Show data context - 50 Show data context 96 Show data context 12 Show data context -
45-- 110 Show data context 127 Show data context 237 Show data context 16 Show data context 89 Show data context 5 Show data context - 29 Show data context 78 Show data context 20 Show data context -
50-- 96 Show data context 140 Show data context 236 Show data context 12 Show data context 81 Show data context 3 Show data context - 32 Show data context 86 Show data context 22 Show data context -
55-- 114 Show data context 125 Show data context 239 Show data context 15 Show data context 88 Show data context 11 Show data context - 28 Show data context 67 Show data context 30 Show data context -
60-- 63 Show data context 81 Show data context 144 Show data context 7 Show data context 50 Show data context 6 Show data context - 19 Show data context 45 Show data context 17 Show data context -
65-- 77 Show data context 98 Show data context 175 Show data context 9 Show data context 65 Show data context 3 Show data context - 27 Show data context 47 Show data context 24 Show data context -
70-- 80 Show data context 112 Show data context 192 Show data context 3 Show data context 57 Show data context 20 Show data context - 28 Show data context 38 Show data context 46 Show data context -
75-- 44 Show data context 51 Show data context 95 Show data context 3 Show data context 28 Show data context 13 Show data context - 16 Show data context 10 Show data context 25 Show data context -
80-- 28 Show data context 38 Show data context 66 Show data context 0 Show data context 16 Show data context 12 Show data context - 15 Show data context 3 Show data context 20 Show data context -
85-- 8 Show data context 10 Show data context 18 Show data context 0 Show data context 4 Show data context 4 Show data context - 3 Show data context 1 Show data context 6 Show data context -
90-- 2 Show data context 4 Show data context 6 Show data context 0 Show data context 1 Show data context 1 Show data context - 1 Show data context 0 Show data context 3 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 2 Show data context 2 Show data context 0 Show data context 0 Show data context 0 Show data context - 1 Show data context 0 Show data context 1 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.