1851 Census of Great Britain, Ages (Sample Report Title: Population Tables II. Ages, Civil Conditions, Occupations and Birthplace of the People: with the Numbers and Ages of the Blind, the Deaf-and-Dumb, and the inmates of workhouses, prisons, Lunatic Asylums, and Hospitals. Part I.), Table [1] : " Ages of the People".

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[Gender] ALL AGES
Under
5 Years.
[3]
5--
[4]
10--
[5]
15--
[6]
20--
[7]
25--
[8]
30--
[9]
35--
[10]
40--
[11]
45--
[12]
50--
[13]
55--
[14]
60--
[15]
65--
[16]
70--
[17]
75--
[18]
80--
[19]
85--
[20]
90--
[21]
95--
[22]
100 and upwds
[23]

Both
Sexes.
[1]

Males and
Females.
[2]
Dudley RegD/PLU Total   M. 106,530 Show data context 54,263 Show data context 8,582 Show data context 6,814 Show data context 6,494 Show data context 5,531 Show data context 5,281 Show data context 4,639 Show data context 3,840 Show data context 3,200 Show data context 2,708 Show data context 2,084 Show data context 1,610 Show data context 1,179 Show data context 1,002 Show data context 528 Show data context 446 Show data context 190 Show data context 96 Show data context 32 Show data context 5 Show data context 2 Show data context 0 Show data context
    F. - 52,267 Show data context 8,796 Show data context 6,832 Show data context 6,347 Show data context 5,003 Show data context 4,892 Show data context 4,235 Show data context 3,518 Show data context 2,906 Show data context 2,458 Show data context 1,960 Show data context 1,551 Show data context 1,164 Show data context 1,059 Show data context 640 Show data context 514 Show data context 227 Show data context 113 Show data context 38 Show data context 12 Show data context 2 Show data context 0 Show data context
Dudley SubD M. 37,962 Show data context 19,093 Show data context 3,012 Show data context 2,274 Show data context 2,258 Show data context 1,865 Show data context 1,922 Show data context 1,635 Show data context 1,422 Show data context 1,102 Show data context 982 Show data context 791 Show data context 575 Show data context 431 Show data context 343 Show data context 188 Show data context 168 Show data context 73 Show data context 37 Show data context 11 Show data context 3 Show data context 1 Show data context 0 Show data context
    F. - 18,869 Show data context 2,991 Show data context 2,369 Show data context 2,264 Show data context 1,836 Show data context 1,916 Show data context 1,555 Show data context 1,317 Show data context 1,060 Show data context 927 Show data context 723 Show data context 560 Show data context 436 Show data context 373 Show data context 204 Show data context 201 Show data context 74 Show data context 46 Show data context 11 Show data context 5 Show data context 1 Show data context 0 Show data context
Rowley Regis SubD M. 14,249 Show data context 7,281 Show data context 1,176 Show data context 933 Show data context 871 Show data context 780 Show data context 705 Show data context 620 Show data context 479 Show data context 396 Show data context 377 Show data context 251 Show data context 224 Show data context 153 Show data context 141 Show data context 61 Show data context 63 Show data context 25 Show data context 15 Show data context 11 Show data context 0 Show data context 0 Show data context 0 Show data context
    F. - 6,968 Show data context 1,232 Show data context 983 Show data context 809 Show data context 730 Show data context 650 Show data context 527 Show data context 476 Show data context 337 Show data context 309 Show data context 250 Show data context 180 Show data context 158 Show data context 132 Show data context 92 Show data context 52 Show data context 29 Show data context 13 Show data context 7 Show data context 2 Show data context 0 Show data context 0 Show data context
Sedgley SubD M. 29,447 Show data context 15,044 Show data context 2,332 Show data context 1,960 Show data context 1,872 Show data context 1,588 Show data context 1,391 Show data context 1,242 Show data context 989 Show data context 878 Show data context 701 Show data context 571 Show data context 468 Show data context 339 Show data context 312 Show data context 177 Show data context 128 Show data context 58 Show data context 30 Show data context 6 Show data context 2 Show data context 0 Show data context 0 Show data context
    F. - 14,403 Show data context 2,491 Show data context 1,868 Show data context 1,807 Show data context 1,297 Show data context 1,290 Show data context 1,138 Show data context 913 Show data context 807 Show data context 646 Show data context 536 Show data context 439 Show data context 347 Show data context 327 Show data context 213 Show data context 153 Show data context 79 Show data context 35 Show data context 12 Show data context 4 Show data context 1 Show data context 0 Show data context
Tipton SubD M. 24,872 Show data context 12,845 Show data context 2,062 Show data context 1,647 Show data context 1,493 Show data context 1,298 Show data context 1,263 Show data context 1,142 Show data context 950 Show data context 824 Show data context 648 Show data context 471 Show data context 343 Show data context 256 Show data context 206 Show data context 102 Show data context 87 Show data context 34 Show data context 14 Show data context 4 Show data context 0 Show data context 1 Show data context 0 Show data context
    F. - 12,027 Show data context 2,082 Show data context 1,612 Show data context 1,467 Show data context 1,140 Show data context 1,036 Show data context 1,015 Show data context 812 Show data context 702 Show data context 576 Show data context 451 Show data context 372 Show data context 223 Show data context 227 Show data context 131 Show data context 108 Show data context 45 Show data context 19 Show data context 8 Show data context 1 Show data context 0 Show data context 0 Show data context

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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.