1981 Census: Aggregate Data; Great Britain

<p>Abstract copyright UK Data Service and data collection copyright owner.</p>The aggregate data produced as outputs from censuses in Great Britain provide information on a wide range of demographic and socio-economic characteristics. They are predominantly a collection of aggregated or summary counts of the numbers of people or households resident in specific geographical areas possessing particular characteristics.<br> <br> Data can be accessed through <a href="http://casweb.ukdataservice.ac.uk/" title="Casweb">Casweb</a>.<br> <br> <br><B>Main Topics</B>:<br>The 100% Sample files contain information about: total population, sex, population in private households and communal establishments, age, country of birth, one year migration, economic activity, marital status, employment status, numbers of children, household car availability, housing occupation density, household tenure, household amenities, household types, nature of housing, linguistic ability (Welsh/Gaelic in Wales and Scotland respectively) and related topics.<br> <br> The 10% Sample files contain information about: socio-economyic composition, industry of occupation, means of transport to work, higher level qualifications, family type, social class and related topics.<br

1971 Census: Aggregate Data; Great Britain

<p>Abstract copyright UK Data Service and data collection copyright owner.</p>The aggregate data produced as outputs from censuses in Great Britain provide information on a wide range of demographic and socio-economic characteristics. They are predominantly a collection of aggregated or summary counts of the numbers of people or households resident in specific geographical areas possessing particular characteristics.<br> <br> Data can be accessed through <a href="http://casweb.ukdataservice.ac.uk/" title="Casweb">Casweb</a>.<br> <br> <br><B>Main Topics</B>:<br>The 100% Sample files contain information about: total population, private households and communal establishments, immigrants, country of birth, economic activity, numbers of children, parental origin, visitors present, car availability, housing occupation density, household tenure, household amenities, household types and related topics.<br> <br> The 10% Sample files contain information about: socio-economic composition, migrants, working women, dependent children, travel to work, and related topics.<br

Small-area analyses of bone cancer diagnosed in Great Britain provide clues to aetiology

Background: The aetiology of bone cancers is poorly understood. This study examined geographical patterning in incidence of primary bone cancers diagnosed in 0-49 year olds in Great Britain during 1980-2005 to provide information on factors linked with disease development. We investigated putative associations with deprivation and population density.Methods: Data on osteosarcoma and Ewing sarcoma were obtained from national population-based registries. Negative binomial regression was used to examine the relationship between incidence rates and the Townsend deprivation score (and its component variables) and small-area population density.Results: The study analyzed 2566 osteosarcoma and 1650 Ewing sarcoma cases. For females with osteosarcoma, statistically significant decreased risk was associated with higher levels of deprivation (relative risk [RR] per unit increase in deprivation score = 0.969; 95% confidence interval [CI] 0.946-0.993). For all Ewing sarcoma combined, statistically significant decreased risk was associated with greater area-level population density and higher levels of non-car ownership (RR per person per hectare increase = 0.984; 95% CI 0.976-0.993, RR per 1% increase in non-car ownership = 0.994; 95% CI 0.991-0.998).Conclusions: Higher incidence of osteosarcoma was observed for females in areas with lower deprivation levels indicating increased risk is linked to some aspect of affluent living. Higher incidence of Ewing sarcoma occurred in areas of low population density and where more people owned cars, both characteristic of rural environments. The study adds substantially to evidence associating Ewing sarcoma risk with rural environmental exposures. Putative risk factors include agricultural exposures, such as pesticides and zoonotic agents