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 Fife ScoCnty Wemyss 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. 12,364 Show data context 10,740 Show data context 23,104 Show data context 8,086 Show data context 3,937 Show data context 312 Show data context 29 Show data context 6,370 Show data context 3,869 Show data context 501 Show data context -
0 333 Show data context 322 Show data context 655 Show data context 333 Show data context - - - 322 Show data context - - -
1 283 Show data context 304 Show data context 587 Show data context 283 Show data context - - - 304 Show data context - - -
2 319 Show data context 349 Show data context 668 Show data context 319 Show data context - - - 349 Show data context - - -
3 328 Show data context 323 Show data context 651 Show data context 328 Show data context - - - 323 Show data context - - -
4 322 Show data context 285 Show data context 607 Show data context 322 Show data context - - - 285 Show data context - - -
Under 5 1,585 Show data context 1,583 Show data context 3,168 Show data context 1,585 Show data context 0 Show data context 0 Show data context 0 Show data context 1,583 Show data context 0 Show data context 0 Show data context -
5-- 1,411 Show data context 1,466 Show data context 2,877 Show data context 1,411 Show data context 0 Show data context 0 Show data context 0 Show data context 1,466 Show data context 0 Show data context 0 Show data context -
10-- 1,233 Show data context 1,283 Show data context 2,516 Show data context 1,233 Show data context 0 Show data context 0 Show data context 0 Show data context 1,283 Show data context 0 Show data context 0 Show data context -
15-- 1,267 Show data context 967 Show data context 2,234 Show data context 1,264 Show data context 3 Show data context 0 Show data context 0 Show data context 941 Show data context 26 Show data context 0 Show data context -
20-- 1,238 Show data context 817 Show data context 2,055 Show data context 1,031 Show data context 205 Show data context 2 Show data context 0 Show data context 467 Show data context 350 Show data context 0 Show data context -
25-- 1,112 Show data context 905 Show data context 2,017 Show data context 538 Show data context 566 Show data context 6 Show data context 2 Show data context 243 Show data context 656 Show data context 6 Show data context -
30-- 1,008 Show data context 764 Show data context 1,772 Show data context 340 Show data context 649 Show data context 13 Show data context 6 Show data context 100 Show data context 653 Show data context 11 Show data context -
35-- 902 Show data context 672 Show data context 1,574 Show data context 220 Show data context 653 Show data context 22 Show data context 7 Show data context 75 Show data context 579 Show data context 18 Show data context -
40-- 736 Show data context 568 Show data context 1,304 Show data context 170 Show data context 541 Show data context 19 Show data context 6 Show data context 54 Show data context 483 Show data context 31 Show data context -
45-- 557 Show data context 460 Show data context 1,017 Show data context 120 Show data context 402 Show data context 31 Show data context 4 Show data context 50 Show data context 366 Show data context 44 Show data context -
50-- 457 Show data context 370 Show data context 827 Show data context 74 Show data context 342 Show data context 41 Show data context 0 Show data context 33 Show data context 282 Show data context 55 Show data context -
55-- 337 Show data context 319 Show data context 656 Show data context 45 Show data context 258 Show data context 33 Show data context 1 Show data context 22 Show data context 236 Show data context 61 Show data context -
60-- 221 Show data context 183 Show data context 404 Show data context 26 Show data context 153 Show data context 40 Show data context 2 Show data context 16 Show data context 99 Show data context 68 Show data context -
65-- 143 Show data context 167 Show data context 310 Show data context 14 Show data context 92 Show data context 37 Show data context 0 Show data context 13 Show data context 84 Show data context 70 Show data context -
70-- 72 Show data context 110 Show data context 182 Show data context 8 Show data context 43 Show data context 20 Show data context 1 Show data context 12 Show data context 38 Show data context 60 Show data context -
75-- 54 Show data context 73 Show data context 127 Show data context 5 Show data context 23 Show data context 26 Show data context 0 Show data context 9 Show data context 13 Show data context 51 Show data context -
80-- 23 Show data context 25 Show data context 48 Show data context 2 Show data context 6 Show data context 15 Show data context 0 Show data context 3 Show data context 4 Show data context 18 Show data context -
85-- 7 Show data context 6 Show data context 13 Show data context 0 Show data context 1 Show data context 6 Show data context 0 Show data context 0 Show data context 0 Show data context 6 Show data context -
90-- 1 Show data context 2 Show data context 3 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context 0 Show data context 0 Show data context 2 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 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 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.