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".

List Stirlingshire ScoCnty Alva 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. 2,381 Show data context 2,884 Show data context 5,265 Show data context 1,457 Show data context 802 Show data context 122 Show data context - 1,775 Show data context 861 Show data context 248 Show data context -
0 63 Show data context 58 Show data context 121 Show data context 63 Show data context - - - 58 Show data context - - -
1 41 Show data context 42 Show data context 83 Show data context 41 Show data context - - - 42 Show data context - - -
2 48 Show data context 58 Show data context 106 Show data context 48 Show data context - - - 58 Show data context - - -
3 50 Show data context 40 Show data context 90 Show data context 50 Show data context - - - 40 Show data context - - -
4 52 Show data context 50 Show data context 102 Show data context 52 Show data context - - - 50 Show data context - - -
Under 5 254 Show data context 248 Show data context 502 Show data context 254 Show data context 0 Show data context 0 Show data context - 248 Show data context 0 Show data context 0 Show data context -
5-- 275 Show data context 230 Show data context 505 Show data context 275 Show data context 0 Show data context 0 Show data context - 230 Show data context 0 Show data context 0 Show data context -
10-- 244 Show data context 266 Show data context 510 Show data context 244 Show data context 0 Show data context 0 Show data context - 266 Show data context 0 Show data context 0 Show data context -
15-- 259 Show data context 265 Show data context 524 Show data context 259 Show data context 0 Show data context 0 Show data context - 262 Show data context 3 Show data context 0 Show data context -
20-- 193 Show data context 274 Show data context 467 Show data context 176 Show data context 17 Show data context 0 Show data context - 241 Show data context 33 Show data context 0 Show data context -
25-- 179 Show data context 274 Show data context 453 Show data context 106 Show data context 72 Show data context 1 Show data context - 164 Show data context 109 Show data context 1 Show data context -
30-- 153 Show data context 234 Show data context 387 Show data context 42 Show data context 106 Show data context 5 Show data context - 107 Show data context 124 Show data context 3 Show data context -
35-- 140 Show data context 185 Show data context 325 Show data context 24 Show data context 115 Show data context 1 Show data context - 60 Show data context 118 Show data context 7 Show data context -
40-- 136 Show data context 176 Show data context 312 Show data context 20 Show data context 112 Show data context 4 Show data context - 53 Show data context 107 Show data context 16 Show data context -
45-- 87 Show data context 175 Show data context 262 Show data context 12 Show data context 72 Show data context 3 Show data context - 55 Show data context 104 Show data context 16 Show data context -
50-- 100 Show data context 129 Show data context 229 Show data context 13 Show data context 81 Show data context 6 Show data context - 26 Show data context 74 Show data context 29 Show data context -
55-- 96 Show data context 127 Show data context 223 Show data context 7 Show data context 76 Show data context 13 Show data context - 29 Show data context 69 Show data context 29 Show data context -
60-- 79 Show data context 94 Show data context 173 Show data context 10 Show data context 54 Show data context 15 Show data context - 14 Show data context 55 Show data context 25 Show data context -
65-- 87 Show data context 85 Show data context 172 Show data context 10 Show data context 49 Show data context 28 Show data context - 10 Show data context 38 Show data context 37 Show data context -
70-- 57 Show data context 75 Show data context 132 Show data context 4 Show data context 33 Show data context 20 Show data context - 6 Show data context 20 Show data context 49 Show data context -
75-- 24 Show data context 32 Show data context 56 Show data context 0 Show data context 12 Show data context 12 Show data context - 4 Show data context 5 Show data context 23 Show data context -
80-- 9 Show data context 11 Show data context 20 Show data context 0 Show data context 1 Show data context 8 Show data context - 0 Show data context 2 Show data context 9 Show data context -
85-- 9 Show data context 4 Show data context 13 Show data context 1 Show data context 2 Show data context 6 Show data context - 0 Show data context 0 Show data context 4 Show data context -
90-- 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 -
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 -

Comments:

1 Note that the original table has columns for age groups, but we turn it on its side for better presentation online.

Click on the triangles for all about a particular number.

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.