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. James (22)
  2. William (21)
  3. John (19)
  4. Henry (17)
  5. Thomas (10)
  6. Charles (7)
  7. Edward (6)
  8. George (6)
  9. Cornelius (4)
  10. Alfred (4)
  11. Joseph (4)
  12. Albert (3)
  13. Arthur (3)
  14. Robert (3)
  15. Peter (2)
  16. Thos. (2)
  17. Wm. (2)
  18. H. (2)
  19. Richard (2)
  20. Douglas (2)
  21. Frederick (2)
  22. Daniel (1)
  23. D. (1)
  24. Benjamin (1)
  25. Robt. (1)
  26. Sandy (1)
  27. Silvester (1)
  28. Fredk. (1)
  29. Archd. (1)
  30. W. (1)
  31. Walsingham (1)
  32. Walter (1)
  33. Ambrose (1)
  34. Fredk.W. (1)
  35. Oliver (1)
  36. Miller (1)
  37. Fredrick (1)
  38. Gregory (1)
  39. Freddy (1)
  40. Frank (1)
  41. Hy.Saml. (1)
  42. J. (1)
  43. Francis (1)
  44. Edwin (1)
  45. Edmund (1)
  46. Lewis (1)
  47. Marcus (1)
  48. Matthew (1)
  49. Phillip (1)

Top female names

  1. Mary (33)
  2. Elizabeth (18)
  3. Sarah (14)
  4. Emma (11)
  5. Ann (9)
  6. Alice (9)
  7. Jane (7)
  8. Eliza (6)
  9. Emily (6)
  10. Caroline (6)
  11. Maria (5)
  12. Ellen (4)
  13. Louisa (4)
  14. Harriet (3)
  15. Frances (3)
  16. Hannah (3)
  17. Susan (3)
  18. Eva (2)
  19. Phoebe (2)
  20. Issabella (2)
  21. Janet (2)
  22. Lucy (2)
  23. Isabella (2)
  24. Anne (2)
  25. Margaret (2)
  26. Margret (2)
  27. Catherine (2)
  28. Amy (1)
  29. Alma (1)
  30. Josephine (1)
  31. Julia (1)
  32. Laura (1)
  33. Lillie (1)
  34. Lizzie (1)
  35. Aleis (1)
  36. M. (1)
  37. Elizth. (1)
  38. Isabel (1)
  39. Infant (1)
  40. E. (1)
  41. Dorothy (1)
  42. Clara (1)
  43. Fannie (1)
  44. Florence (1)
  45. Charlotte (1)
  46. Georgiana (1)
  47. Ethel (1)
  48. Avice (1)
  49. Arabella (1)
  50. Henrietta (1)

Top occupations

  1. Scholar (49)
  2. Cabinet Maker (6)
  3. Laundress (6)
  4. Servant (3)
  5. Dressmaker (3)
  6. Butcher (3)
  7. Domestic Servant (3)
  8. Trouser Maker (2)
  9. Errand Boy (2)
  10. Umbrella Maker (2)
  11. Shoemaker (2)
  12. Painter & Glazier (2)
  13. Boot Finisher (2)
  14. Tailoress (2)
  15. General Laborer (2)
  16. House Decorator (2)
  17. Mantle Maker (2)
  18. Dyer Works Laborer (Wool) (1)
  19. Dress Maker (1)
  20. Wood Turner Apprentice (1)
  21. Cook (Domestic) (1)
  22. Domestic (Servt) (1)
  23. Cook Domestic Serv (1)
  24. Cordwinder (1)
  25. Drapers Assistant, Postal Clerk (1)
  26. Cordwinder (Boot) (1)
  27. Draper Grocer Etc (1)
  28. Draper & Grocer Postal Telegraph Clerk (1)
  29. Cook Domestic (1)
  30. Dom Serv (1)
  31. Carman (1)
  32. Clicker (1)
  33. Book Sewer (1)
  34. Black Smith (1)
  35. Beerhouse Keeper (1)
  36. Basket Manufacturer & General Merchant (1)
  37. Basket Maker (1)
  38. Baker (1)
  39. Apprentice Undef (1)
  40. Annuitant (1)
  41. Brass Finisher (1)
  42. Butler Domestic Servant (1)
  43. Circular Wood Sawyer (1)
  44. Chimney Sweep Wife (1)
  45. Chimney Sweep (1)
  46. Cattle Dealer & Farmer 20 Acres 1 Boy (1)
  47. Architect & Surveyor (1)
  48. Caretaker Office (Office Keeper) (1)
  49. Cab Maker (1)
  50. Cab Driver (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 114 people with the surname Crease 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 Crease.

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 Crease surname has an index of 2.76 in London, meaning that you are 2.76 times as likely to find a Crease 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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