![]() It includes details on the people per square mile by county (or equivalent) throughout the United States. It was created by the Census Bureau following the decennial count of the U.S. 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. This map shows details about the United States population density following the 2010 Census. The source of information about and data from the U.S. in 2024 is 34.77 people per square kilometer, a 0.53 increase from 2023. 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. This is a list of countries and dependencies ranked by population density, sorted by inhabitants per square kilometre or square mile.The list includes sovereign states and self-governing dependent territories based upon the ISO standard ISO 3166-1. See the ] for a process description.Comprehensive plans are intended to guide growth and development in an organized, efficient, and sustainable manner. Population density (people per km 2) by country. Originally from en.wikipedia description page is (was) here CC BY-SA 3.0 Creative Commons Attribution-Share Alike 3.0 true true This licensing tag was added to this file as part of the GFDL licensing update. share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Closely followed by China, Macao SAR with a population. The country with the highest population density was Monaco with a density of 24360.7 people per square kilometer. Population density is calculated by dividing the total population count of geographic feature by the area of. It highlights US cities with the highest population densities based on the 2010 census data. Population density is the number of people per square mile. attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. In the year 2023, the world had a population density of 61.7 (people/km²). This thematic map illustrates the population density in the United States in 2010.Statistician’s comment The population grew at the slowest rate for 15 years between mid-2018 and mid-2019. to share – to copy, distribute and transmit the work The population of the UK is spread unevenly, with the population density ranging from 5,700 people per square kilometre across London to fewer than 50 people per square kilometre in the most rural local authorities of the UK.This file is licensed under the Creative Commons Attribution-Share Alike 3.0 Unported license. GFDL GNU Free Documentation License true true A copy of the license is included in the section entitled GNU Free Documentation License. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. JimIrwin at the English-language Wikipedia, the copyright holder of this work, hereby publishes it under the following license:
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