Hints from the Health Department. Leaflet from the archive of the Society of Medical Officers of Health. Credit: Wellcome Collection, London
[Report of the Medical Officer of Health for Southall]
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1938. | Men. | Women. | Total. |
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Year | No. of Dwellings | Population | Authority | Average Individuals per Dwelling |
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Total | Male | Female | Comparative figures for 1937 |
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Male | Female | Total 1938 | Total 1937 |
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Ward | Male | Female | Total |
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England and Wales | 126 County Boroughs and Great Towns including London | 148 Smaller Towns (Resident Populations 25,000 to 50,000 at 1931 Census) | London Administrative County | Southall |
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Waxlow Manor | North-cote | Ham-brough | Dormers Wells | Glebe | Norwood Green | Total |
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Certified Cause of Death. | Under 1 week | 1-2 weeks | 2-3 weeks | 3-4 weeks | Total under 4 weeks | 1-3 months | 3-6 months | 6-9 months | 9-12 months | Total deaths under 1 year |
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Situation | Services Provided | Day and Time | By whom provided |
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Positive. | Negative. |
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Post- Natal | Birth Control. |
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First visits | Re-visits | Average number of re-visits per patient | Total number of births in the District | Percentage of new cases to total births |
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Primipara | Multipara | Delivered at home | Admitted to hospital or Nursing Home | |||
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Primipara | Multipara | Primipara | Multipara |
(1) New Infant Cases | (2) Total live births | (3) Percentage of (1) to (2)* |
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Manor House | Branch Centre | Total |
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Manor House | Branch Centre | Total |
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Manor House | Branch Centre | Total |
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Manor House | Branch Centre | Total | ||||||
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A | B | C | d |
Manor House | Branch Centre | Total |
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Districts | No. 1 | No. 2 | No. 3 | No. 4 | No. 5 |
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Cow's milk free | Cow's milk at 50% cost | Dried milk free | Dried milk at 50% cost |
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Service | Free | Part cost |
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No. | Date | Gelatin 20 degrees for 3 days | Agar 37 degrees for 2 days | B. coli | Streptococci | B. Welchii | Remarks |
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Date | Gelatin 20 degrees for 3 days | Agar 37 degrees for 2 days | B. Coli | Streptococci | B. Welchii | No. of bathers in previous 60 hours | Remarks |
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Premises | No. of | ||
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Inspections | Written Notices | Occupiers Prosecuted |
Particulars | No. of Defects | No. of offences in respect of which proceedings were instituted | ||
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Found | Remedied _ | Referred to h.m. Inspector |
No. of animals killed | No. of carcases inspected | Condemnations | ||
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Parts of carcases or organs condemned | ||||
for tuberculosis | for other diseases |
Article | Taken | Adulterated |
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Year | Live Births | Vaccination Certificates | Exemptions | Percentage of vaccinations to live births |
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Year | Male | Female | Total | Estimated population | Rate per 1,000 population |
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Age | ||||||||
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0-15 | 15-30 | 30-40 | 40-50 | 50-60 | 60-70 | 70-80 | 80 + |
Age Groups (attaining the age stated during 1938) | 6 or under | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 14 + |
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Diseases | Ages | Total cases notified | Cases admitted to hospital | Deaths | |||||||||||
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Under 1 year | 1 to 2 | 2 to 3 | 3 to 4 | 4 to 5 | 5 to 10 | 10 to 15 | 15 to 25 | 25 to 35 | 35 to 45 | 45 to 65 | 65 and over |
Diseases | Total | Waxlow Manor | Northcote | Hambrough | Dormers Wells | Glebe | Norwood Green | Admitted to Hospital | Total deaths |
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School | Scarlet Fever | Diphtheria |
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Age Periods | New Cases Pulmonary Non-Pulmonary | Deaths Pulmonary Non-Pulmonary | ||||||
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Male | Female | Male | Female | Male | Female | Male | Female |
Occupations | Pulmonary | Non-Pulmonary | ||
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Male | Female | Male | Female |
Year | 1932 | 1933 | 1934 | 1935 | 1936 | 1937 | 1938 |
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Remaining on 1.1.38 | Admitted during year as | Subsequently diagnosed as | Discharged recovered | Died | Mort. per cent. | Remaining 31.12.38 |
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Number admitted. Final diagnosis | Number discharged | Deaths | Transfers | Re-admissions | ||||||||
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Sc. F. | Diph. | Others | Sc. F. | Diph. | Others | Diph. | Others | Diph. | Sc. F. | Diph. | Sc. F. |
Age (years) | 0-5 | 5-15 | 15-25 | 25-35 | 35+ |
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Prontosil. | Serum. | Total. |
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Age (years) | 0-5 | 5-15 | 15-25 | 25-35 | 35+ |
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Number | 14 | 49 | 8 | 4 | 1 |
Permanent. | Temporary. |
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£ |
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Years | Average Population | Birth Rate per 1,000 population | Death Rate per 1,000 population | Infantile Mortality per 1,000 live births | Tuberculosis Death Rate per 100,000 population |
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