London's Pulse: Medical Officer of Health reports 1848-1972

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Greenwich 1962

[Report of the Medical Officer of Health for Greenwich Borough]

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The following table shows the comparative Infantile Mortality Rates for the quinquennial periods since 1931, together with the Rate for 1962:—

DistrictAverage for Quinquennial PeriodsYear 1962
1931 to 19351936 to 19401941 to 19451946 to 19501951 to 19551956 to 1960
Greenwich75504027184188932.66
London6356603323821921.1
England and Wales6255503626922721.4

The actual number of infantile deaths recorded during the
year was 44 (14 more than last year) and these were attributed to
the following causes: —
Prematurity 13 Pneumonia 7
Congenital Malformations 6 Bronchitis 4
Erythroblastosis 2 Breech Delivery (results of) 2
Inhalations—Meconium 1 Atelectasis 1
—Liquor Amni 1 Pulmonary Hypertension 1
Ante partum Haemorrhage 1 Interstitial Emphysema 1
Whooping Cough 1 Gaucher's Disease 1
Burns 1 Unascertainable 1
Of the above, 27 were male and 17 female; 12 died in St
Alfege's Hospital, 4 in the Brook Hospital, 4 in the Miller Hospital,
2 at home, 20 in hospitals and institutions outside the Borough
and 2 were found on the river foreshore
Neo-Natal Mortality—Neo-natal mortality, ie, infants dying
before attaining the age of one month, accounted for 30 deaths,
equivalent to 6818% of all infant deaths and giving a Neo-natal
Mortality Rate of 2227 per 1,000 live births This compares
with a figure of 151 returned for England and Wales Twentysix
of these neo-natal deaths occurred within the first week of
birth, the main cause being Prematurity
Perinatal Mortality—The Perinatal Mortality Rate, calculated
from a total of 49 still births and deaths of infants under 1 week,
was 3576 per 1,000 total births compared with 3615 for the previous
year The equivalent rate for England and Wales is 308
Reproductive Wastage—A sum total of 67 Stillbirths and
Infantile deaths gives a reproductive wastage rate of 4890 per
1,000 total births, an increase of 372 over the 1961 figure
REMARKS ON VARIOUS DEATH CAUSES
Recognising the importance of ensuring as far as possible the
uniformity and comparability of statistics in relation to diseases