![]() Example images for Shanghai and New York City are shown below.Ĭountry Density Profiles – the Diversity of Human Settlement The dataset can now be used for more accurate comparisons of population and density for cities across the globe. Previous releases of the GHSL were underestimating urban densities for cities where census data was weaker, but this appears to no longer be the case. The added level of detail also improves the representation of cities, with more accurate density analysis, and improved techniques to differentiate residential from industrial and commercial urban land uses. This is also the case for other key regions such as Sub-Saharan Africa, and China. The tens of thousands of small villages are identified and used to more accurately distribute India’s huge population. The results are much improved, particularly for complex rural and peri-urban landscapes in the Global South, such as for India shown below. The new GHSL 2023 data has produced a much more detailed 10 metre dataset of built-up area (using recent European Space Agency Sentinel data), and this is the basis for creating the updated population layer. Improved Level of Detail for Cities and Rural Landscapes I have updated the World Population Density Map website to include this new 2023 data, with both the cartography and statistical analysis now based on the new data. The level of detail for cities and rural areas is impressive, and it overcomes the limitations of previous releases of the GHSL. This update has greatly improved the GHSL data, with a 10 metre scale built-up area dataset of the entire globe which has been used to create a 100 metre scale global population density layer. Quality and methodology information (QMI) for Census 2021 Methodology | Released 28 June 2022 Details the strengths, limitations, uses, users and methods for Census 2021, England and Wales.The European Commission JRC recently released a new 2023 update of the Global Human Settlement Layer (GHSL) data. Play the Census 2021 quiz: how well do you know your local area? Online game | Updated 3 April 2023 See how well you know the population of your local authority area with our interactive quiz.Ĭensus 2021 topic summaries Supporting information | Updated 7 March 2023 What topic summary data for Census 2021 will be available and how to view them.Ĭensus 2021 dictionary Glossary | Released 28 October 2022 Detailed information about variables, definitions and classifications to help when using Census 2021 data. How your area has changed in 10 years: Census 2021 Digital content article | Updated 19 January 2023 Find out how life changed for people living in different local authority areas in England and Wales.īuild a custom area profile Interactive tool | Released 17 January 2023 Create your own profile for local areas in England and Wales using Census 2021 data. The maps were first published on 2 November 2022 and have been updated as more data from Census 2021 were released. ![]() For example, if the chosen group of people or households made up 10.2% of the population in 2011 and 9.1% in 2021, this would be shown as a decrease of -1.1pp. These are presented as percentage point (pp) changes, unless otherwise stated in the map legend.Ī percentage point change is the difference between percentages. ![]() Since 7 March 2023, the maps have also included changes over time between the 2011 Census and Census 2021. They represent the area within the highlighted boundary shown on the map and not the individual building or street over which they appear. The legends also show how many people or households are represented by each dot.ĭots are distributed around the selected area. ![]() The map legends show comparisons between different groups and how the area compares with England and Wales overall. On, we added a new way to see the density and distribution of people or households by different characteristics.ĭot density maps group people or households within different areas so that a single, coloured dot represents them. Use our interactive tool to see Census 2021 data for your neighbourhood Dot density maps
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