API COVID-19 cases by zip code of residence | Last Updated T01:01:27.000Z.Source: California Reportable Disease Information Exchange This dataset is updated every Thursday. The dataset summarizes counts and rates of cumulative COVID-19 cases by cities in Santa Clara County. API COVID-19 cases by city of residence | Last Updated T01:01:09.000Z.API C-5A and C-5B, Apportionment Results, C And S Corporations .gov | Last Updated T23:58:46.000Z.The dataset includes a summary of the average corporation apportionment factors for all Corporations (C and S Corporations) based on California corporate tax returns. API C-5, Apportionment Formula Results All Corporations .gov | Last Updated T23:56:34.000Z.The total crimes used to calculate the rates for San Mateo County include data from: Sheriff's Department Unincorporated, Atherton, Belmont, Brisbane, Broadmoor, Burlingame, Colma, Daly City, East Palo Alto, Foster City, Half Moon Bay, Hillsborough, Menlo Park, Millbrae, Pacifica, Redwood City, San Bruno, San Carlos, San Mateo, South San Francisco, Bay Area DPR, BART, Union Pacific Railroad, and CA Highway Patrol. Violent and property crime rates per 100,000 population for San Mateo County and the State of California. API San Mateo County And California Crime Rates 2000-2014 | Last Updated T20:40:07.000Z.Population and housing information extracted from decennial census Public Law 94-171 redistricting summary files for Washington state for years 20. API WAOFM - Census - Population and Housing, 20 data.wa.gov | Last Updated T17:20:31.000Z.This dataset contains data for taxable years 1992 to the most recent tax year available. This dataset contains data from California resident tax returns filed with California adjusted gross income and self-assessed tax listed by zip code. API Personal Income Tax Statistics By Zip Code .gov | Last Updated T20:35:40.000Z. Geographic and Population Datasets Involving California Where an application has a region specific module, we ask that you add an additional line that states: "Data about REGIONX was provided by the Open Data Network." where REGIONX is an HREF with a name for a geographical region like "Seattle, WA" and the link points to this page URL, e.g. If you use this derived data in an app, we ask that you provide a link somewhere in your applications to the Open Data Network with a citation that states: "Data for this application was provided by the Open Data Network" where "Open Data Network" links to. To build your own apps using this data, see the ODN Dataset and API links.ģ. ODN datasets and APIs are subject to change and may differ in format from the original source data in order to provide a user-friendly experience on this site.Ģ. Census American Community Survey | ODN Dataset | API - Notes:ġ. It’s this context we need if we want to understand how the lives of people around the world are changing.Population Density is computed by dividing the total population by Land Area Per Square Mile.Ībove charts are based on data from the U.S. But these are not always where the greatest number of people live. When we see a standard map, we focus on the largest countries by area. We show in another article how the world looks in this way. To understand how people are distributed across the world, another useful tool is the population cartogram: a geographical presentation of the world where the size of the countries is not drawn according to the distribution of land but according to the distribution of people. Greenland is the least dense, with around 0.1 people per km², followed by Mongolia, Namibia, Australia, and Iceland. You can see the world's least densely populated countries if you hover your mouse over the brackets from 0 to 10 on the legend. It’s followed by Rwanda (584), South Korea (530), Burundi (529), and the Netherlands (525). This is almost three times as dense as its neighbor, India. Of the larger countries 1, Bangladesh is the most densely populated, with 1,342 people per km². Singapore has 8,430 people per km² that's more than 200 times as dense as the United States and 2,000 times as Australia. The five most densely populated are Macao, Monaco, Singapore, Hong Kong, and Gibraltar. Many of the world’s small islands or isolated states have large populations for their size. Globally, the average population density is 62 people per km² in 2024, but there are very large differences across countries.
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