1851 Census of Great Britain, Population tables 2 (Sample Report Title: Population Tables I. Number of Inhabitants in the years 1801, 1811, 1821, 1831, 1841 and 1851: Report: Objects of census and machinery employed; results and observations; appendix of tabular results, and summary tables: England and Wales, Divisions I to VII. Area, houses, 1841 and 1851; Population, 1801, 1811, 1821, 1831, 1841, and 1851), Table [1] : " Population Abstract".

List for top level Clackmannanshire

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Area in Statute Acres
[1]
Houses
Population
1841
1851
Persons
Males
Females
Inhabited
[2]
Uninhabited
[3]
Building
[4]
Inhabited
[5]
Uninhabited
[6]
Building
[7]
1801
[8]
1811
[9]
1821
[10]
1831
[11]
1841
[12]
1851
[13]
1801
[14]
1811
[15]
1821
[16]
1831
[17]
1841
[18]
1851
[19]
1801
[20]
1811
[21]
1821
[22]
1831
[23]
1841
[24]
1851
[25]
Clackmannanshire ScoCnty Total   3,406 Show data context 111 Show data context 6 Show data context 2,950 Show data context 96 Show data context 53 Show data context 10,858 Show data context 12,010 Show data context 13,263 Show data context 14,729 Show data context 19,155 Show data context 22,951 Show data context 5,064 Show data context 5,715 Show data context 6,356 Show data context 7,095 Show data context 9,386 Show data context 11,342 Show data context 5,794 Show data context 6,295 Show data context 6,907 Show data context 7,634 Show data context 9,769 Show data context 11,609 Show data context -
Stirling ScoP   1,421 Show data context 62 Show data context 7 Show data context 888 Show data context 26 Show data context 16 Show data context 5,470 Show data context 6,026 Show data context 7,314 Show data context 8,556 Show data context 9,095 Show data context 10,180 Show data context 2,426 Show data context 2,656 Show data context 3,374 Show data context 3,907 Show data context 4,325 Show data context 4,798 Show data context 3,044 Show data context 3,370 Show data context 3,940 Show data context 4,649 Show data context 4,770 Show data context 5,382 Show data context -
Logie ScoP   433 Show data context 18 Show data context 3 Show data context 450 Show data context 17 Show data context 2 Show data context 1,967 Show data context 2,400 Show data context 2,015 Show data context 1,945 Show data context 2,200 Show data context 2,551 Show data context 958 Show data context 1,327 Show data context 978 Show data context 950 Show data context 1,029 Show data context 1,193 Show data context 1,009 Show data context 1,073 Show data context 1,037 Show data context 995 Show data context 1,171 Show data context 1,358 Show data context -
Alva ScoP   461 Show data context 2 Show data context 2 Show data context 350 Show data context 16 Show data context 13 Show data context 787 Show data context 909 Show data context 1,150 Show data context 1,300 Show data context 2,216 Show data context 3,204 Show data context 361 Show data context 429 Show data context 552 Show data context 641 Show data context 1,104 Show data context 1,544 Show data context 426 Show data context 480 Show data context 598 Show data context 659 Show data context 1,112 Show data context 1,660 Show data context -
Clackmannan ScoP   1,085 Show data context 47 Show data context 1 Show data context 871 Show data context 44 Show data context 13 Show data context 2,961 Show data context 3,605 Show data context 4,056 Show data context 4,266 Show data context 5,145 Show data context 5,802 Show data context 1,384 Show data context 1,657 Show data context 1,921 Show data context 2,044 Show data context 2,532 Show data context 2,923 Show data context 1,577 Show data context 1,948 Show data context 2,135 Show data context 2,222 Show data context 2,613 Show data context 2,879 Show data context -
Dollar ScoP   339 Show data context 11 Show data context 1 Show data context 255 Show data context 25 Show data context 2 Show data context 693 Show data context 743 Show data context 1,295 Show data context 1,447 Show data context 1,562 Show data context 1,574 Show data context 310 Show data context 336 Show data context 654 Show data context 673 Show data context 739 Show data context 734 Show data context 383 Show data context 407 Show data context 641 Show data context 774 Show data context 823 Show data context 840 Show data context -
Tillicoultry ScoP   348 Show data context 18 Show data context 1 Show data context 454 Show data context 3 Show data context 22 Show data context 916 Show data context 1,025 Show data context 1,163 Show data context 1,472 Show data context 3,213 Show data context 4,686 Show data context 418 Show data context 472 Show data context 567 Show data context 745 Show data context 1,607 Show data context 2,326 Show data context 498 Show data context 553 Show data context 596 Show data context 727 Show data context 1,606 Show data context 2,360 Show data context -
Alloa ScoP   1,335 Show data context 22 Show data context 3 Show data context 1,106 Show data context 17 Show data context 16 Show data context 5,214 Show data context 5,096 Show data context 5,577 Show data context 6,377 Show data context 7,921 Show data context 9,493 Show data context 2,416 Show data context 2,314 Show data context 2,623 Show data context 3,062 Show data context 3,848 Show data context 4,651 Show data context 2,798 Show data context 2,782 Show data context 2,954 Show data context 3,315 Show data context 4,073 Show data context 4,842 Show data context -

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.