![]() Such an approach is not, of course, a uniformly gridded approach to understanding population density but it is quite good fun! We'll still end up with the same answers in relation to where is 'most densely populated' but we'll get different numbers. If we just want to find a single cell with a higher population then we can of course do this without too much trouble. Possibly my favourite approach to this is by the WorldPop project, although there are many other sources (see below). ![]() The approach of using a continuous grid over a whole country - or indeed the whole world - is pretty common these days and helps us compare areas on a like-for-like basis. This is a more conservative approach than if I'd use an intersect approach but I wanted to remain on the cautious side. Just remember a few things as you read through this piece: a) moving the grid around will of course get you different results, but this is the same with all gridded population data - though mostly the results only change a bit - even so, grids are still useful b) the populations are calculated using groups of census blocks, which don't align perfectly with the squares - that's why it says 'approximate population' on the images, and that's also why I used a blurred focal area around the squares, a nod to the fuzziness of things c) this is US Census data from 2020, so it's about the best and most recent data there is and d) my numbers are likely an underestimate because I chose to assign only those census blocks to each 1km square where the centroid falls within the square. Yes, there appears to be an 'odd one out' here This is what it looks like when you put them on a map. The top 65 most dense 1km squares are all in New York. This is basically population density central for the US The most densely populated area in the United States You can find high resolution versions of the maps below in this web folder. The highest density in the UK is about 25,000 in a single square km (in east London). Bear in mind that the highest value I found in Europe was just under 53,000 in the Barcelona metropolitan area (L'Hospitalet de Llobregat, to be more precise). Based on my US-wide 1km x 1km grid, here is the maximum 1km cell population in the US, followed by maps for every state. If you want to know whether anywhere in the United States is as densely populated as in Europe then read on, but the answer is: yes, New York City has higher densities than Europe, and a few other spots have European-level densities - but not very many. ![]() If you're looking for more on methodology and data sources, scroll to the bottom of the page. I also attempt to find the most densely populated square kilometre in each state. This is not a surprise, so in this long and slightly messy post I'll say a bit more about my attempts to calculate exactly where it is and how many people live there, using US Census 2020 data and a similar method to my previous post on the most densely populated square km of the United Kingdom. The Longitudinal Tract Data Base (LTDB) provides public-use tools to create estimates within 2010 tract boundaries for any tract-level data (from the census or other sources) that are available for prior years as early as 1970.Ī primary source of neighborhood-level data for the whole country, provided by the US Census Bureau.The most densely populated square kilometre in the United States is on the Upper East Side in New York City. The source of information about and data from the U.S. In this diverse seven-county region, TJCOG promotes collaboration among local governments, stakeholders and partners, tackling challenges that cross jurisdictional lines. Serving Chatham, Durham, Johnston, Lee, Moore, Orange and Wake counties. ![]() The Department works with the community to develop long-range and special area plans containing policies to direct growth. The Durham City-County Planning Department is the planning agency for the City and County of Durham. The annual estimates of the population of North Carolina counties and municipalities are used in the distribution of state shared revenues to local governments.ĭurham County government and its departments, including Public Health, Social Services and the Board of Elections. The State Demographics branch of OSBM is responsible for producing population estimates and projections. To do so, they look to the future to anticipate trends and issues that could impact how growth and development occur. Comprehensive plans are intended to guide growth and development in an organized, efficient, and sustainable manner. ![]()
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