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. William (13)
  2. John (10)
  3. James (9)
  4. Joseph (9)
  5. Charles (7)
  6. Herbert (6)
  7. Samuel (5)
  8. Henry (5)
  9. Francis (4)
  10. George (4)
  11. Edward (4)
  12. Ernest (4)
  13. Thomas (4)
  14. Frederick (3)
  15. Percy (2)
  16. Laurence (2)
  17. Wm. (2)
  18. Sampson (2)
  19. Walter (2)
  20. Frederic (2)
  21. Thos. (2)
  22. Dan (2)
  23. Alfred (2)
  24. Fred (2)
  25. Wilfred (1)
  26. Reginald (1)
  27. Benjamin (1)
  28. Arthur (1)
  29. Stephen (1)
  30. Andrew (1)
  31. Wilson (1)
  32. W. (1)
  33. Alexander (1)
  34. Bernard (1)
  35. Octavius (1)
  36. Montagu (1)
  37. Frank (1)
  38. Hugh (1)
  39. Humphrey (1)
  40. Eustace (1)
  41. Albert (1)
  42. Jas.B. (1)
  43. David (1)
  44. Daniel (1)
  45. Kay (1)
  46. Jacob (1)
  47. Llewellyn (1)
  48. Mark (1)
  49. Phillip (1)

Top female names

  1. Mary (21)
  2. Sarah (10)
  3. Caroline (9)
  4. Ellen (7)
  5. Elizabeth (6)
  6. Emma (6)
  7. Edith (6)
  8. Margaret (5)
  9. Alice (5)
  10. Louisa (5)
  11. Jane (4)
  12. Lucy (4)
  13. Susan (3)
  14. Emily (3)
  15. Susannah (3)
  16. Selina (3)
  17. Helen (3)
  18. Maria (3)
  19. Beatrice (3)
  20. Charlotte (3)
  21. Eliza (2)
  22. Fanny (2)
  23. Sophia (2)
  24. Ruth (2)
  25. Amy (2)
  26. Amelia (2)
  27. Rebecca (2)
  28. Ada (2)
  29. Hannah (2)
  30. Grace (2)
  31. Dora (2)
  32. Rachel (2)
  33. Clara (2)
  34. Florence (2)
  35. Emmeline (1)
  36. Phillis (1)
  37. Patience (1)
  38. Olive (1)
  39. Minnie (1)
  40. Matilda (1)
  41. Anna (1)
  42. Martha (1)
  43. Marian (1)
  44. Catherine (1)
  45. Frances (1)
  46. Lydia (1)
  47. Elsie (1)
  48. Lilly (1)
  49. Ann (1)
  50. Christine (1)

Top occupations

  1. Scholar (68)
  2. Ag Lab (9)
  3. Scholar At Home (4)
  4. Laundress (4)
  5. Carpenter (4)
  6. Dress Maker (3)
  7. Cook (3)
  8. Coachman (3)
  9. No Occupation (3)
  10. Farmers Wife (3)
  11. Chimney Sweep (2)
  12. Annuitant (2)
  13. Cook Domestic (2)
  14. Stoker (2)
  15. Machinist (2)
  16. Packer (2)
  17. General Serv (2)
  18. Machinist (S) (2)
  19. Farmer 340 Acres Employing 34 Men 4 Women & 3 Boys (1)
  20. Farmer 375 Acres Emp 17 Men 4 Boys (1)
  21. Farmer Employ 22 Men & 6 Boys (1)
  22. Farmer Of 1000 Acres Employing 30 Men 14 Boys (1)
  23. Farmer Of 600 Acres Employing 38 Men And 4 Boys (1)
  24. Farmers Daughter (1)
  25. Farmers daur (1)
  26. Farmers Son (1)
  27. Gardener (N/D) (1)
  28. Gen Serv Dom (1)
  29. General Gardener (1)
  30. Grocer (1)
  31. General Labour (1)
  32. General Serv Domestic (1)
  33. Dress & Mantlemaker (1)
  34. Bailiff Farm Manager 540 Acres Employing 48 Men 6 Boys & 6 Women (1)
  35. Wife (1)
  36. Carman (1)
  37. Carpenter Master Employing 2 Men (1)
  38. Carpenter Wife (1)
  39. Carrier (1)
  40. Carrier Wife (1)
  41. Clerk Excise (1)
  42. Coachman Domestic Servt (1)
  43. Coachmans Wife (1)
  44. Coal Porter (1)
  45. Commercial Traveller (1)
  46. Commission Agent (1)
  47. Boot & Shoe Maker (1)
  48. Corn Miller And Merchant Employing 30 Men (1)
  49. Cotton Spinner & Manufacturer Empl About 70 Men 140 Women 30 Boys & 30 Girls (1)
  50. Ddapers Assistant (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 160 people with the surname Marriage in the county of Essex in 1881.

The Frequency column shows the percentage of people in this county or town with this surname. For example, 0.03% of the people in Essex were called Marriage.

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 Marriage surname has an index of 27.16 in Essex, meaning that you are 27.16 times as likely to find a Marriage 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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