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 Ayrshire ScoCnty table Old Cumnock 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. 2,830 Show data context 2,635 Show data context 5,465 Show data context 1,860 Show data context 856 Show data context 114 Show data context - 1,620 Show data context 855 Show data context 160 Show data context -
0 76 Show data context 80 Show data context 156 Show data context 76 Show data context - - - 80 Show data context - - -
1 61 Show data context 86 Show data context 147 Show data context 61 Show data context - - - 86 Show data context - - -
2 69 Show data context 71 Show data context 140 Show data context 69 Show data context - - - 71 Show data context - - -
3 73 Show data context 56 Show data context 129 Show data context 73 Show data context - - - 56 Show data context - - -
4 68 Show data context 70 Show data context 138 Show data context 68 Show data context - - - 70 Show data context - - -
Under 5 347 Show data context 363 Show data context 710 Show data context 347 Show data context 0 Show data context 0 Show data context - 363 Show data context 0 Show data context 0 Show data context -
5-- 293 Show data context 313 Show data context 606 Show data context 293 Show data context 0 Show data context 0 Show data context - 313 Show data context 0 Show data context 0 Show data context -
10-- 264 Show data context 282 Show data context 546 Show data context 264 Show data context 0 Show data context 0 Show data context - 282 Show data context 0 Show data context 0 Show data context -
15-- 304 Show data context 221 Show data context 525 Show data context 304 Show data context 0 Show data context 0 Show data context - 219 Show data context 2 Show data context 0 Show data context -
20-- 253 Show data context 196 Show data context 449 Show data context 224 Show data context 26 Show data context 3 Show data context - 133 Show data context 63 Show data context 0 Show data context -
25-- 235 Show data context 211 Show data context 446 Show data context 128 Show data context 104 Show data context 3 Show data context - 84 Show data context 126 Show data context 1 Show data context -
30-- 210 Show data context 211 Show data context 421 Show data context 74 Show data context 134 Show data context 2 Show data context - 58 Show data context 151 Show data context 2 Show data context -
35-- 206 Show data context 166 Show data context 372 Show data context 67 Show data context 135 Show data context 4 Show data context - 43 Show data context 117 Show data context 6 Show data context -
40-- 143 Show data context 147 Show data context 290 Show data context 40 Show data context 96 Show data context 7 Show data context - 30 Show data context 110 Show data context 7 Show data context -
45-- 138 Show data context 133 Show data context 271 Show data context 34 Show data context 98 Show data context 6 Show data context - 25 Show data context 96 Show data context 12 Show data context -
50-- 131 Show data context 96 Show data context 227 Show data context 31 Show data context 87 Show data context 13 Show data context - 17 Show data context 63 Show data context 16 Show data context -
55-- 91 Show data context 80 Show data context 171 Show data context 13 Show data context 61 Show data context 17 Show data context - 17 Show data context 51 Show data context 12 Show data context -
60-- 88 Show data context 75 Show data context 163 Show data context 14 Show data context 57 Show data context 17 Show data context - 16 Show data context 39 Show data context 20 Show data context -
65-- 61 Show data context 56 Show data context 117 Show data context 12 Show data context 35 Show data context 14 Show data context - 7 Show data context 21 Show data context 28 Show data context -
70-- 40 Show data context 41 Show data context 81 Show data context 10 Show data context 12 Show data context 18 Show data context - 5 Show data context 12 Show data context 24 Show data context -
75-- 16 Show data context 22 Show data context 38 Show data context 2 Show data context 9 Show data context 5 Show data context - 4 Show data context 2 Show data context 16 Show data context -
80-- 5 Show data context 14 Show data context 19 Show data context 1 Show data context 1 Show data context 3 Show data context - 3 Show data context 2 Show data context 9 Show data context -
85-- 4 Show data context 6 Show data context 10 Show data context 2 Show data context 1 Show data context 1 Show data context - 1 Show data context 0 Show data context 5 Show data context -
90-- 1 Show data context 1 Show data context 2 Show data context 0 Show data context 0 Show data context 1 Show data context - 0 Show data context 0 Show data context 1 Show data context -
95-- 0 Show data context 1 Show data context 1 Show data context 0 Show data context 0 Show data context 0 Show data context - 0 Show data context 0 Show data context 1 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.