KEYES in the 1881 British Census
| Top UK Counties by Total Occurrances | |||
|---|---|---|---|
| County | Total | Frequency % | Index |
| London | 76 | 0.0026 | 2.4423 |
| Essex | 65 | 0.0113 | 10.5824 |
| Lancashire | 49 | 0.0014 | 1.3271 |
| Gloucestershire | 32 | 0.0056 | 5.2436 |
| Kent | 24 | 0.0024 | 2.2606 |
| Surrey | 17 | 0.0012 | 1.1213 |
| Sussex | 9 | 0.0018 | 1.7156 |
| Monmouthshire / Sir Fynwy | 8 | 0.0038 | 3.5565 |
| Renfrewshire | 8 | 0.0035 | 3.3177 |
| Somerset | 7 | 0.0015 | 1.3976 |
| Top UK Counties by Frequency/Index | |||
|---|---|---|---|
| County | Total | Frequency % | Index |
| Essex | 65 | 0.0113 | 10.5824 |
| Gloucestershire | 32 | 0.0056 | 5.2436 |
| Monmouthshire / Sir Fynwy | 8 | 0.0038 | 3.5565 |
| Renfrewshire | 8 | 0.0035 | 3.3177 |
| Denbighshire / Sir Ddinbych | 3 | 0.0027 | 2.5523 |
| London | 76 | 0.0026 | 2.4423 |
| Kent | 24 | 0.0024 | 2.2606 |
| Sussex | 9 | 0.0018 | 1.7156 |
| Herefordshire | 2 | 0.0017 | 1.5675 |
| Somerset | 7 | 0.0015 | 1.3976 |
| Top UK Towns by Total Occurrances | |||
|---|---|---|---|
| Town | Total | Frequency % | Index |
| Prittlewell, Essex | 17 | 0.2127 | 199.7650 |
| St Marylebone London, London | 12 | 0.0077 | 7.2233 |
| Islington London, London | 11 | 0.0039 | 3.6473 |
| Hornsey, London | 10 | 0.0271 | 25.4130 |
| Ealing, London | 10 | 0.0383 | 35.9583 |
| Inworth, Essex | 10 | 1.5649 | 1470.5882 |
| Grays Thurrock, Essex | 10 | 0.1866 | 175.1313 |
| Windle, Lancashire | 9 | 0.0461 | 43.3317 |
| Ince Blundell, Lancashire | 8 | 1.5123 | 1428.5714 |
| Paisley High Church, Renfrewshire | 8 | 0.0444 | 41.6667 |
| Top UK Towns by Frequency/Index | |||
|---|---|---|---|
| Town | Total | Frequency % | Index |
| Little Stambridge, Essex | 5 | 3.0488 | 2941.1765 |
| Inworth, Essex | 10 | 1.5649 | 1470.5882 |
| Ince Blundell, Lancashire | 8 | 1.5123 | 1428.5714 |
| Southchurch, Essex | 8 | 1.5038 | 1403.5088 |
| Leigh, Gloucestershire | 5 | 1.4793 | 1388.8889 |
| St Swithin London Stone, London | 1 | 1.3333 | 1250.0000 |
| Paglesham, Essex | 6 | 1.1673 | 1090.9091 |
| Newton By Chester, Cheshire | 3 | 1.1194 | 1034.4828 |
| Stourmouth, Kent | 2 | 0.6231 | 588.2353 |
| Marks Tey, Essex | 1 | 0.2433 | 227.2727 |
| Top Forenames for KEYES | |
|---|---|
| Male | Female |
| William KEYES Thomas KEYES John KEYES George KEYES Charles KEYES James KEYES Edward KEYES Henry KEYES Joseph KEYES Alfred KEYES Harry KEYES Robert KEYES Arthur KEYES Frederick KEYES Albert KEYES Grimshaw KEYES Alexander KEYES Richard KEYES Abraham KEYES Norman KEYES | Mary KEYES Emma KEYES Sarah KEYES Annie KEYES Ellen KEYES Elizabeth KEYES Alice KEYES Jane KEYES Eliza KEYES Emily KEYES Charlotte KEYES Margaret KEYES Catherine KEYES Matilda KEYES Martha KEYES Fanny KEYES Louisa KEYES Arabella KEYES Rosa KEYES Amelia KEYES |
| Top Forenames in Scotland for KEYES | |
|---|---|
| Male | Female |
| William KEYES Christopher KEYES | Sarah KEYES Catherine KEYES Elizabeth KEYES Mary KEYES |
| Top Forenames in Wales for KEYES | |
|---|---|
| Male | Female |
| William KEYES Christopher KEYES | Sarah KEYES Catherine KEYES Elizabeth KEYES Mary KEYES |
| Top Occupations for KEYES |
|---|
| Scholar Ag Lab Annuitant General Servant Domestic Servant Land Owner Dressmaker None Cotton Weaver Labourer Cabinet Maker Hawker General Labourer Butcher (B sm) Striker Farm Lab Coachman (D.) Blacksmith Coach Builder Painter Painters Wife Out Of Employment Organ Builder Wife Partner In Millin Buisness (Corn) Pensioner Organ Builder And Grocer Mate Miller Millers Clerk Monthly Nurse No Occupation Gardener Nurse Nurse (Dom) Nurse Dom Serv Nurse Retired Nursemaid Office Boy Organ Builder Picture Dealer & Farmer Employing 12 Men And A Boy Post Mistress (CSO) Solicitors Mang Clerk Surveyor Sweep Tailors Apprentice Teacher In Music Tobacconist & Confectioner Trouser Piecer Cotton Under Brewer Wife Waitress For more information on these occupations, see Work in 1881 |
Notes
County and town names are as used on the 1881 census, and may not necessarily correlate with modern names and borders. Where a Scottish county is now known by a significantly different name, the modern name is shown in brackets. Welsh counties are shown in both English and Welsh names.
The Total Occurrences tables show which counties and towns contained the highest number of people with the surname KEYES. This is obviously biased towards counties and towns that have more people in them overall, but it does show where the majority of people called KEYES lived at the time of the 1881 census.
The Frequency tables show which counties and towns had the highest proportion of people with the surname KEYES. These are the places where you would be most likely to find someone called KEYES, if you picked people at random from the population.
- The Total column shows the total number of people in that county or town with this surname. For example, there were 65 people called KEYES in Essex at the time of the 1881 census.
- The Frequency column shows the percentage of people in this county or town with this surname. For example, a frequency of 0.0113 in Essex means that 0.0113% of the people in Essex on census day were called KEYES.
- The Index column shows the relative probability of finding someone called KEYES in this county or town, compared with the probability of finding them anywhere in Britain as a whole. An index of 1 means that if you pick someone at random from this county or town, you have exactly the same probability of picking someone called KEYES a if you picked at random from the whole of the UK. If the index is higher than 1, then you are more likely to find someoen called KEYES here than if you picked from the UK as a whole, and if it's lower then you are less likely. The actual figure shows the level of probability - for example, a figure of 2 would indicate that you are twice as likely to find someone called KEYES here than in the UK as a whole, and 10 would make it ten times as likely. The value of 10.5824 in Essex means that you are 10.5824 times as likely to find someone with the surname of KEYES in Essex than you would be in the whole of the UK.
The maximum Index values tend to be higher for towns than counties, as a single extended family in a small town can comprise a significant proportion of the total population. For less common surnames, it's quite likely that all the residents of a small town who shared that name were related.
