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 East Lothian ScoCnty Haddington 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. 2,610 Show data context 2,814 Show data context 5,424 Show data context 1,600 Show data context 882 Show data context 128 Show data context - 1,725 Show data context 863 Show data context 215 Show data context 11 Show data context
0 40 Show data context 36 Show data context 76 Show data context 40 Show data context - - - 36 Show data context - - -
1 49 Show data context 46 Show data context 95 Show data context 49 Show data context - - - 46 Show data context - - -
2 46 Show data context 43 Show data context 89 Show data context 46 Show data context - - - 43 Show data context - - -
3 59 Show data context 43 Show data context 102 Show data context 59 Show data context - - - 43 Show data context - - -
4 52 Show data context 37 Show data context 89 Show data context 52 Show data context - - - 37 Show data context - - -
Under 5 246 Show data context 205 Show data context 451 Show data context 246 Show data context 0 Show data context 0 Show data context - 205 Show data context 0 Show data context 0 Show data context 0 Show data context
5-- 272 Show data context 275 Show data context 547 Show data context 272 Show data context 0 Show data context 0 Show data context - 275 Show data context 0 Show data context 0 Show data context 0 Show data context
10-- 266 Show data context 311 Show data context 577 Show data context 266 Show data context 0 Show data context 0 Show data context - 311 Show data context 0 Show data context 0 Show data context 0 Show data context
15-- 207 Show data context 243 Show data context 450 Show data context 207 Show data context 0 Show data context 0 Show data context - 239 Show data context 4 Show data context 0 Show data context 0 Show data context
20-- 192 Show data context 255 Show data context 447 Show data context 173 Show data context 19 Show data context 0 Show data context - 217 Show data context 34 Show data context 0 Show data context 4 Show data context
25-- 190 Show data context 196 Show data context 386 Show data context 121 Show data context 69 Show data context 0 Show data context - 98 Show data context 93 Show data context 3 Show data context 2 Show data context
30-- 193 Show data context 204 Show data context 397 Show data context 78 Show data context 112 Show data context 3 Show data context - 82 Show data context 116 Show data context 4 Show data context 2 Show data context
35-- 182 Show data context 201 Show data context 383 Show data context 53 Show data context 126 Show data context 3 Show data context - 55 Show data context 137 Show data context 9 Show data context 0 Show data context
40-- 179 Show data context 187 Show data context 366 Show data context 50 Show data context 124 Show data context 5 Show data context - 53 Show data context 125 Show data context 8 Show data context 1 Show data context
45-- 154 Show data context 167 Show data context 321 Show data context 35 Show data context 116 Show data context 3 Show data context - 40 Show data context 114 Show data context 11 Show data context 2 Show data context
50-- 143 Show data context 124 Show data context 267 Show data context 33 Show data context 100 Show data context 10 Show data context - 42 Show data context 68 Show data context 14 Show data context 0 Show data context
55-- 101 Show data context 110 Show data context 211 Show data context 18 Show data context 71 Show data context 12 Show data context - 24 Show data context 61 Show data context 25 Show data context 0 Show data context
60-- 86 Show data context 106 Show data context 192 Show data context 12 Show data context 56 Show data context 18 Show data context - 28 Show data context 49 Show data context 29 Show data context 0 Show data context
65-- 82 Show data context 85 Show data context 167 Show data context 24 Show data context 34 Show data context 24 Show data context - 22 Show data context 33 Show data context 30 Show data context 0 Show data context
70-- 60 Show data context 83 Show data context 143 Show data context 8 Show data context 34 Show data context 18 Show data context - 21 Show data context 19 Show data context 43 Show data context 0 Show data context
75-- 40 Show data context 43 Show data context 83 Show data context 1 Show data context 17 Show data context 22 Show data context - 7 Show data context 8 Show data context 28 Show data context 0 Show data context
80-- 11 Show data context 14 Show data context 25 Show data context 2 Show data context 3 Show data context 6 Show data context - 2 Show data context 2 Show data context 10 Show data context 0 Show data context
85-- 4 Show data context 3 Show data context 7 Show data context 1 Show data context 1 Show data context 2 Show data context - 2 Show data context 0 Show data context 1 Show data context 0 Show data context
90-- 2 Show data context 1 Show data context 3 Show data context 0 Show data context 0 Show data context 2 Show data context - 1 Show data context 0 Show data context 0 Show data context 0 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 - 1 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.