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 North Uist 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. 1,772 Show data context 1,905 Show data context 3,677 Show data context 1,234 Show data context 470 Show data context 68 Show data context - 1,227 Show data context 488 Show data context 190 Show data context -
0 34 Show data context 27 Show data context 61 Show data context 34 Show data context - - - 27 Show data context - - -
1 36 Show data context 26 Show data context 62 Show data context 36 Show data context - - - 26 Show data context - - -
2 50 Show data context 33 Show data context 83 Show data context 50 Show data context - - - 33 Show data context - - -
3 25 Show data context 43 Show data context 68 Show data context 25 Show data context - - - 43 Show data context - - -
4 44 Show data context 41 Show data context 85 Show data context 44 Show data context - - - 41 Show data context - - -
Under 5 189 Show data context 170 Show data context 359 Show data context 189 Show data context 0 Show data context 0 Show data context - 170 Show data context 0 Show data context 0 Show data context -
5-- 190 Show data context 205 Show data context 395 Show data context 190 Show data context 0 Show data context 0 Show data context - 205 Show data context 0 Show data context 0 Show data context -
10-- 225 Show data context 212 Show data context 437 Show data context 225 Show data context 0 Show data context 0 Show data context - 212 Show data context 0 Show data context 0 Show data context -
15-- 184 Show data context 141 Show data context 325 Show data context 184 Show data context 0 Show data context 0 Show data context - 141 Show data context 0 Show data context 0 Show data context -
20-- 124 Show data context 115 Show data context 239 Show data context 124 Show data context 0 Show data context 0 Show data context - 103 Show data context 12 Show data context 0 Show data context -
25-- 84 Show data context 94 Show data context 178 Show data context 75 Show data context 7 Show data context 2 Show data context - 55 Show data context 39 Show data context 0 Show data context -
30-- 93 Show data context 106 Show data context 199 Show data context 65 Show data context 27 Show data context 1 Show data context - 44 Show data context 62 Show data context 0 Show data context -
35-- 85 Show data context 106 Show data context 191 Show data context 44 Show data context 39 Show data context 2 Show data context - 45 Show data context 54 Show data context 7 Show data context -
40-- 84 Show data context 112 Show data context 196 Show data context 38 Show data context 45 Show data context 1 Show data context - 47 Show data context 60 Show data context 5 Show data context -
45-- 80 Show data context 95 Show data context 175 Show data context 20 Show data context 56 Show data context 4 Show data context - 27 Show data context 60 Show data context 8 Show data context -
50-- 80 Show data context 97 Show data context 177 Show data context 16 Show data context 62 Show data context 2 Show data context - 32 Show data context 53 Show data context 12 Show data context -
55-- 80 Show data context 86 Show data context 166 Show data context 14 Show data context 59 Show data context 7 Show data context - 30 Show data context 46 Show data context 10 Show data context -
60-- 55 Show data context 72 Show data context 127 Show data context 3 Show data context 46 Show data context 6 Show data context - 21 Show data context 34 Show data context 17 Show data context -
65-- 73 Show data context 73 Show data context 146 Show data context 17 Show data context 45 Show data context 11 Show data context - 26 Show data context 24 Show data context 23 Show data context -
70-- 78 Show data context 118 Show data context 196 Show data context 16 Show data context 47 Show data context 15 Show data context - 43 Show data context 29 Show data context 46 Show data context -
75-- 40 Show data context 64 Show data context 104 Show data context 10 Show data context 20 Show data context 10 Show data context - 21 Show data context 9 Show data context 34 Show data context -
80-- 24 Show data context 32 Show data context 56 Show data context 4 Show data context 14 Show data context 6 Show data context - 4 Show data context 4 Show data context 24 Show data context -
85-- 2 Show data context 2 Show data context 4 Show data context 0 Show data context 1 Show data context 1 Show data context - 0 Show data context 1 Show data context 1 Show data context -
90-- 2 Show data context 5 Show data context 7 Show data context 0 Show data context 2 Show data context 0 Show data context - 1 Show data context 1 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 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.