Top Locations

See the bottom of the page for an explanation of the numeric columns.

Counties

Census Districts

Demographics

Numbers in brackets are the total recorded in the census. Note that for less common surnames, some of these may well be typos or transcription errors. See below for some more information on occupational titles.

Top male names

  1. George (7)
  2. James (7)
  3. Thomas (5)
  4. William (5)
  5. Frederick (4)
  6. Charles (4)
  7. Frank (3)
  8. Alfred (3)
  9. Albert (3)
  10. Henry (2)
  11. Frederic (2)
  12. Fred (2)
  13. David (2)
  14. Edwin (2)
  15. John (2)
  16. Samuel (2)
  17. Stephen (2)
  18. Arthur (2)
  19. Lawrence (1)
  20. Wm. (1)
  21. Louis (1)
  22. P.E. (1)
  23. Percy (1)
  24. Philip (1)
  25. Wilfred (1)
  26. Walter (1)
  27. Richard (1)
  28. W. (1)
  29. Reginald (1)
  30. Rowland (1)
  31. Kenneth (1)
  32. Jas. (1)
  33. Archibald (1)
  34. B. (1)
  35. Cuthbert (1)
  36. D. (1)
  37. A.B. (1)
  38. Edward (1)
  39. Edwd. (1)
  40. Ernest (1)
  41. Fredk. (1)
  42. Geo. (1)
  43. Govery (1)
  44. Harry (1)
  45. Horatio (1)
  46. Howard (1)
  47. Anthony (1)

Top female names

  1. Mary (12)
  2. Emily (8)
  3. Elizabeth (7)
  4. Sarah (6)
  5. Louisa (5)
  6. Edith (4)
  7. Eliza (4)
  8. Caroline (4)
  9. Kate (3)
  10. Fanny (3)
  11. Jane (3)
  12. Ada (3)
  13. Alice (3)
  14. Annie (3)
  15. Ellen (2)
  16. Anne (2)
  17. Maria (2)
  18. Florence (2)
  19. Emma (2)
  20. Isabel (2)
  21. Charlotte (2)
  22. Laura (2)
  23. Rebecca (2)
  24. Margaret (1)
  25. Susan (1)
  26. Marian (1)
  27. Marion (1)
  28. N.R. (1)
  29. Nora (1)
  30. Sophia (1)
  31. Selerina (1)
  32. Rose (1)
  33. Phebe (1)
  34. R.L. (1)
  35. K.M. (1)
  36. Beatrice (1)
  37. Bella (1)
  38. C. (1)
  39. Clara (1)
  40. Constance (1)
  41. E.E. (1)
  42. Eliz. (1)
  43. Esther (1)
  44. Geraldine (1)
  45. Grace (1)
  46. H.N. (1)
  47. Hannah (1)
  48. Harriett (1)
  49. Hilda (1)
  50. Julia (1)

Top occupations

  1. Scholar (52)
  2. Dressmaker (4)
  3. Retired ... (2)
  4. Butcher (2)
  5. Grocers Daur (2)
  6. Wine Merchant (2)
  7. Undergraduate Sou Univesity (School) (2)
  8. Infant School Mistress (Munic Off) (1)
  9. Fishermans Wife (1)
  10. Editor Nonconformist (1)
  11. Joint Stock Bank Share Holder (1)
  12. Drapers Assistant (1)
  13. Drapers Assis (1)
  14. Decorator (1)
  15. Corn & Coal Merchant Master 1 Man (1)
  16. Cook Domestic Servant (1)
  17. French Window Frame Maker (Carpenter)(C & Gilder) (1)
  18. Fur Trade Unemployed (1)
  19. General Practioner (1)
  20. Joiner (1)
  21. Independent Minister (Retired) (1)
  22. Income Derived From Railway Dividends & Annuits (1)
  23. Housemaid (1)
  24. Gunner Royal Artillery (1)
  25. Joiner (Unemployed) (1)
  26. Governiss (Prof) (1)
  27. General Servant (1)
  28. Cook (Dom) (1)
  29. Cook (1)
  30. Bricklayer (1)
  31. Bondholder (1)
  32. Boarder (1)
  33. Barman (1)
  34. Bankers Clerk (1)
  35. Assist Paymr (1)
  36. Agent (1)
  37. Ag Labourer Wife (1)
  38. Ag Labourer (1)
  39. Wine Spirit Merch (1)
  40. Butchers Assistant (1)
  41. Butchers Wife (1)
  42. Coal Agent & Rent Collector (1)
  43. Clerk Registr Duty Depty Somerset House (1)
  44. Clerk In Warehouse (1)
  45. Clerk (1)
  46. Caulker (1)
  47. Carpenters Wife (1)
  48. Carpenters Crew (1)
  49. Carpenter (1)
  50. Butler (1)

Explanation of numeric columns in the county and district tables

The Total column shows the total number of people in that county or town with this surname. For example, there were 80 people with the surname Miall in the county of London in 1881.

The Frequency column shows the percentage of people in this county or town with this surname. For example, 0% of the people in London were called Miall.

The Index column shows how more or less common a surname is in a particular location compared to the population as a whole. If the index is higher than 1, then you more likely to find a person with this name here than you would in the country as a whole. And if it's less than 1, you are less likely to find someone with this surname here. For example, the Miall surname has an index of 4 in London, meaning that you are 4 times as likely to find a Miall here than you would in the population as a whole.

The Total value is an absolute figure which takes no account of the size of the county or town, so it tends to be biased towards larger towns and counties. The Frequency and Index values are relative to the local population, so they give a better idea of where a surname is most concentrated.

A note on occupational titles

Occupational titles are presented exactly as recorded on the census and later transcribed, with no attempt made to unify names that are the same. So, for example, 'Ag Lab' and 'Agricultural Labourer' will apear as separate entries, and so will any misspellings of them.

'Scholar' was the census term for any child in education. Given that families tended to be large, this means that school children, or scholars, are almost always the largest recorded occupational group for any surname. A better idea of what the family breadwinners did for a living will be found in the other job titles.

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