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 Midlothian ScoCnty West Calder 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. 4,095 Show data context 3,621 Show data context 7,716 Show data context 2,743 Show data context 1,213 Show data context 139 Show data context - 2,202 Show data context 1,210 Show data context 208 Show data context 1 Show data context
0 110 Show data context 112 Show data context 222 Show data context 110 Show data context - - - 112 Show data context - - -
1 108 Show data context 104 Show data context 212 Show data context 108 Show data context - - - 104 Show data context - - -
2 119 Show data context 98 Show data context 217 Show data context 119 Show data context - - - 98 Show data context - - -
3 104 Show data context 93 Show data context 197 Show data context 104 Show data context - - - 93 Show data context - - -
4 91 Show data context 84 Show data context 175 Show data context 91 Show data context - - - 84 Show data context - - -
Under 5 532 Show data context 491 Show data context 1,023 Show data context 532 Show data context 0 Show data context 0 Show data context - 491 Show data context 0 Show data context 0 Show data context 0 Show data context
5-- 480 Show data context 503 Show data context 983 Show data context 480 Show data context 0 Show data context 0 Show data context - 503 Show data context 0 Show data context 0 Show data context 0 Show data context
10-- 483 Show data context 464 Show data context 947 Show data context 483 Show data context 0 Show data context 0 Show data context - 464 Show data context 0 Show data context 0 Show data context 0 Show data context
15-- 452 Show data context 339 Show data context 791 Show data context 451 Show data context 1 Show data context 0 Show data context - 327 Show data context 12 Show data context 0 Show data context 0 Show data context
20-- 365 Show data context 275 Show data context 640 Show data context 316 Show data context 49 Show data context 0 Show data context - 168 Show data context 105 Show data context 2 Show data context 0 Show data context
25-- 320 Show data context 290 Show data context 610 Show data context 185 Show data context 134 Show data context 1 Show data context - 106 Show data context 183 Show data context 1 Show data context 0 Show data context
30-- 279 Show data context 215 Show data context 494 Show data context 95 Show data context 178 Show data context 6 Show data context - 49 Show data context 162 Show data context 4 Show data context 0 Show data context
35-- 274 Show data context 250 Show data context 524 Show data context 71 Show data context 200 Show data context 3 Show data context - 24 Show data context 208 Show data context 18 Show data context 0 Show data context
40-- 213 Show data context 179 Show data context 392 Show data context 43 Show data context 162 Show data context 8 Show data context - 15 Show data context 155 Show data context 9 Show data context 0 Show data context
45-- 183 Show data context 156 Show data context 339 Show data context 32 Show data context 137 Show data context 14 Show data context - 15 Show data context 120 Show data context 21 Show data context 0 Show data context
50-- 132 Show data context 98 Show data context 230 Show data context 14 Show data context 106 Show data context 12 Show data context - 10 Show data context 75 Show data context 13 Show data context 0 Show data context
55-- 128 Show data context 113 Show data context 241 Show data context 14 Show data context 96 Show data context 18 Show data context - 6 Show data context 81 Show data context 25 Show data context 1 Show data context
60-- 98 Show data context 82 Show data context 180 Show data context 14 Show data context 64 Show data context 20 Show data context - 6 Show data context 40 Show data context 36 Show data context 0 Show data context
65-- 75 Show data context 68 Show data context 143 Show data context 5 Show data context 50 Show data context 20 Show data context - 8 Show data context 37 Show data context 23 Show data context 0 Show data context
70-- 51 Show data context 50 Show data context 101 Show data context 4 Show data context 25 Show data context 22 Show data context - 7 Show data context 23 Show data context 20 Show data context 0 Show data context
75-- 23 Show data context 28 Show data context 51 Show data context 3 Show data context 9 Show data context 11 Show data context - 3 Show data context 6 Show data context 19 Show data context 0 Show data context
80-- 4 Show data context 16 Show data context 20 Show data context 0 Show data context 0 Show data context 4 Show data context - 0 Show data context 3 Show data context 13 Show data context 0 Show data context
85-- 3 Show data context 3 Show data context 6 Show data context 1 Show data context 2 Show data context 0 Show data context - 0 Show data context 0 Show data context 3 Show data context 0 Show data context
90-- 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 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 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.