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 Angus ScoCnty table Montrose 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. 5,643 Show data context 7,026 Show data context 12,669 Show data context 3,479 Show data context 1,918 Show data context 246 Show data context - 4,287 Show data context 1,995 Show data context 744 Show data context -
0 91 Show data context 92 Show data context 183 Show data context 91 Show data context - - - 92 Show data context - - -
1 120 Show data context 102 Show data context 222 Show data context 120 Show data context - - - 102 Show data context - - -
2 104 Show data context 102 Show data context 206 Show data context 104 Show data context - - - 102 Show data context - - -
3 132 Show data context 94 Show data context 226 Show data context 132 Show data context - - - 94 Show data context - - -
4 112 Show data context 85 Show data context 197 Show data context 112 Show data context - - - 85 Show data context - - -
Under 5 559 Show data context 475 Show data context 1,034 Show data context 559 Show data context 0 Show data context 0 Show data context - 475 Show data context 0 Show data context 0 Show data context -
5-- 569 Show data context 543 Show data context 1,112 Show data context 569 Show data context 0 Show data context 0 Show data context - 543 Show data context 0 Show data context 0 Show data context -
10-- 576 Show data context 567 Show data context 1,143 Show data context 576 Show data context 0 Show data context 0 Show data context - 567 Show data context 0 Show data context 0 Show data context -
15-- 588 Show data context 594 Show data context 1,182 Show data context 588 Show data context 0 Show data context 0 Show data context - 591 Show data context 3 Show data context 0 Show data context -
20-- 390 Show data context 580 Show data context 970 Show data context 352 Show data context 38 Show data context 0 Show data context - 506 Show data context 73 Show data context 1 Show data context -
25-- 350 Show data context 538 Show data context 888 Show data context 211 Show data context 137 Show data context 2 Show data context - 345 Show data context 188 Show data context 5 Show data context -
30-- 374 Show data context 501 Show data context 875 Show data context 149 Show data context 221 Show data context 4 Show data context - 222 Show data context 271 Show data context 8 Show data context -
35-- 365 Show data context 446 Show data context 811 Show data context 121 Show data context 238 Show data context 6 Show data context - 158 Show data context 265 Show data context 23 Show data context -
40-- 352 Show data context 429 Show data context 781 Show data context 91 Show data context 255 Show data context 6 Show data context - 131 Show data context 263 Show data context 35 Show data context -
45-- 310 Show data context 438 Show data context 748 Show data context 63 Show data context 236 Show data context 11 Show data context - 155 Show data context 240 Show data context 43 Show data context -
50-- 298 Show data context 414 Show data context 712 Show data context 71 Show data context 214 Show data context 13 Show data context - 132 Show data context 215 Show data context 67 Show data context -
55-- 252 Show data context 363 Show data context 615 Show data context 38 Show data context 190 Show data context 24 Show data context - 117 Show data context 177 Show data context 69 Show data context -
60-- 206 Show data context 320 Show data context 526 Show data context 37 Show data context 144 Show data context 25 Show data context - 101 Show data context 123 Show data context 96 Show data context -
65-- 163 Show data context 298 Show data context 461 Show data context 23 Show data context 102 Show data context 38 Show data context - 101 Show data context 80 Show data context 117 Show data context -
70-- 152 Show data context 243 Show data context 395 Show data context 22 Show data context 85 Show data context 45 Show data context - 73 Show data context 65 Show data context 105 Show data context -
75-- 91 Show data context 149 Show data context 240 Show data context 7 Show data context 46 Show data context 38 Show data context - 40 Show data context 27 Show data context 82 Show data context -
80-- 38 Show data context 85 Show data context 123 Show data context 2 Show data context 11 Show data context 25 Show data context - 20 Show data context 5 Show data context 60 Show data context -
85-- 10 Show data context 31 Show data context 41 Show data context 0 Show data context 1 Show data context 9 Show data context - 7 Show data context 0 Show data context 24 Show data context -
90-- 0 Show data context 11 Show data context 11 Show data context 0 Show data context 0 Show data context 0 Show data context - 3 Show data context 0 Show data context 8 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 -
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 -
Not stated - 1 Show data context 1 Show data context - - - - - - 1 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.