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 Fife ScoCnty table St Andrews and St Leonards 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. 3,933 Show data context 5,768 Show data context 9,701 Show data context 2,318 Show data context 1,469 Show data context 146 Show data context - 3,796 Show data context 1,527 Show data context 445 Show data context -
0 64 Show data context 74 Show data context 138 Show data context 64 Show data context - - - 74 Show data context - - -
1 71 Show data context 94 Show data context 165 Show data context 71 Show data context - - - 94 Show data context - - -
2 95 Show data context 76 Show data context 171 Show data context 95 Show data context - - - 76 Show data context - - -
3 73 Show data context 87 Show data context 160 Show data context 73 Show data context - - - 87 Show data context - - -
4 77 Show data context 94 Show data context 171 Show data context 77 Show data context - - - 94 Show data context - - -
Under 5 380 Show data context 425 Show data context 805 Show data context 380 Show data context 0 Show data context 0 Show data context - 425 Show data context 0 Show data context 0 Show data context -
5-- 400 Show data context 419 Show data context 819 Show data context 400 Show data context 0 Show data context 0 Show data context - 419 Show data context 0 Show data context 0 Show data context -
10-- 437 Show data context 494 Show data context 931 Show data context 437 Show data context 0 Show data context 0 Show data context - 494 Show data context 0 Show data context 0 Show data context -
15-- 406 Show data context 701 Show data context 1,107 Show data context 404 Show data context 2 Show data context 0 Show data context - 700 Show data context 1 Show data context 0 Show data context -
20-- 309 Show data context 538 Show data context 847 Show data context 284 Show data context 25 Show data context 0 Show data context - 487 Show data context 51 Show data context 0 Show data context -
25-- 265 Show data context 532 Show data context 797 Show data context 140 Show data context 124 Show data context 1 Show data context - 354 Show data context 178 Show data context 0 Show data context -
30-- 289 Show data context 445 Show data context 734 Show data context 89 Show data context 195 Show data context 5 Show data context - 207 Show data context 233 Show data context 5 Show data context -
35-- 249 Show data context 384 Show data context 633 Show data context 60 Show data context 182 Show data context 7 Show data context - 168 Show data context 206 Show data context 10 Show data context -
40-- 236 Show data context 362 Show data context 598 Show data context 30 Show data context 202 Show data context 4 Show data context - 128 Show data context 211 Show data context 23 Show data context -
45-- 206 Show data context 329 Show data context 535 Show data context 26 Show data context 171 Show data context 9 Show data context - 104 Show data context 184 Show data context 41 Show data context -
50-- 240 Show data context 277 Show data context 517 Show data context 23 Show data context 201 Show data context 16 Show data context - 81 Show data context 153 Show data context 43 Show data context -
55-- 167 Show data context 265 Show data context 432 Show data context 17 Show data context 135 Show data context 15 Show data context - 79 Show data context 131 Show data context 55 Show data context -
60-- 127 Show data context 191 Show data context 318 Show data context 15 Show data context 96 Show data context 16 Show data context - 60 Show data context 80 Show data context 51 Show data context -
65-- 98 Show data context 141 Show data context 239 Show data context 7 Show data context 71 Show data context 20 Show data context - 29 Show data context 50 Show data context 62 Show data context -
70-- 72 Show data context 113 Show data context 185 Show data context 5 Show data context 44 Show data context 23 Show data context - 18 Show data context 31 Show data context 64 Show data context -
75-- 32 Show data context 83 Show data context 115 Show data context 1 Show data context 14 Show data context 17 Show data context - 22 Show data context 13 Show data context 48 Show data context -
80-- 15 Show data context 39 Show data context 54 Show data context 0 Show data context 6 Show data context 9 Show data context - 16 Show data context 4 Show data context 19 Show data context -
85-- 3 Show data context 21 Show data context 24 Show data context 0 Show data context 0 Show data context 3 Show data context - 3 Show data context 1 Show data context 17 Show data context -
90-- 1 Show data context 6 Show data context 7 Show data context 0 Show data context 0 Show data context 1 Show data context - 1 Show data context 0 Show data context 5 Show data context -
95-- 1 Show data context 3 Show data context 4 Show data context 0 Show data context 1 Show data context 0 Show data context - 1 Show data context 0 Show data context 2 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.