PERFECT
In the 1881 Census
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
- George (37)
- William (33)
- John (31)
- Henry (19)
- James (17)
- Thomas (15)
- Charles (13)
- Joseph (12)
- Arthur (11)
- Edward (10)
- Alfred (10)
- Albert (9)
- Samuel (8)
- Frederick (7)
- Robert (7)
- Walter (6)
- Frank (5)
- Fred (4)
- Harry (4)
- Epton (3)
- Isaac (3)
- Ernest (3)
- Horace (2)
- Jabez (2)
- Richard (2)
- Sydney (2)
- Daniel (2)
- Abraham (2)
- Chas. (2)
- Benjamin (2)
- Alexander (2)
- Willm. (2)
- Robt.J. (1)
- Rochford (1)
- Rupert (1)
- Reginald (1)
- Octaivas (1)
- Lewis (1)
- Leonard (1)
- Reuben (1)
- Geo. (1)
- Henery (1)
- Fredrick (1)
- Herbert (1)
- Francis (1)
- Edwin (1)
- Edwd. (1)
- Wm. (1)
- Edgar (1)
- Jonas (1)
Top female names
- Mary (42)
- Elizabeth (21)
- Alice (17)
- Eliza (16)
- Sarah (16)
- Jane (15)
- Ann (14)
- Emily (13)
- Emma (13)
- Annie (11)
- Ellen (8)
- Hannah (8)
- Florence (6)
- Rose (6)
- Louisa (6)
- Harriet (6)
- Catherine (5)
- Martha (5)
- Margaret (4)
- Agnes (4)
- Amelia (4)
- Edith (4)
- Susan (3)
- Gertrude (3)
- Fanny (3)
- Frances (3)
- Harriett (3)
- Amy (3)
- Matilda (3)
- Caroline (3)
- Kate (3)
- Charlotte (3)
- Eleanor (3)
- Ada (3)
- Lilly (2)
- May (2)
- Beatrice (2)
- Janet (2)
- Anne (2)
- Helena (2)
- Rachel (2)
- Betsy (2)
- Francis (2)
- Katherine (2)
- Clara (2)
- Lucy (2)
- Clarissa (2)
- Constance (2)
- Maria (2)
- Elisabeth (2)
Top occupations
- Scholar (139)
- Ag Lab (23)
- Dressmaker (8)
- General Labourer (6)
- Dress Maker (5)
- Cotton Weaver (5)
- Charwoman (4)
- Labourer Farm (4)
- Errand Boy (4)
- No Occupation (4)
- Laundress (4)
- Pupil Teacher (3)
- Housemaid (3)
- Domestic Serv (3)
- Domestic Servant (3)
- Brushmaker (3)
- Butcher (3)
- Carpenter (3)
- Joiner (3)
- General Serv (3)
- Gardener (3)
- Ag Labourer (3)
- House Decorator (2)
- Masters Daughter (2)
- Agric Labourer (2)
- General Servant Domestic (2)
- Girl In Training (Inst) (Sch) (2)
- Housekeeper (2)
- Ag Lab Wife (2)
- Agricultural Labourer (2)
- Managers Son (2)
- Master (2)
- Collar Worker (Shirt Mkr) (2)
- Optician (2)
- Railway Porter (2)
- Cotton Factory Operative (2)
- Income From Law Houses (2)
- Domestic Duties (2)
- Needle Woman (2)
- Basket Maker (2)
- Gen Serv (Dom) (2)
- Brush Finisher (2)
- Silk Filler (2)
- Shoe Maker (2)
- Masters Son (2)
- Brush Drawer (1)
- Bricklayers Labr (1)
- Woodman (1)
- Barrister Not At Present In Practice (1)
- Bar Maid (Hot) (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 102 people with the surname Perfect 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 Perfect.
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 Perfect surname has an index of 1.56 in London, meaning that you are 1.56 times as likely to find a Perfect 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.