Skip to main content
SimilarExport ZIP
100%

World Population Map 2022

✓ Published0🌍 Public
AAllen Ho
Last edited Apr 2, 2024
Created on Apr 2, 2024
Forked from HTML Starter

This choropleth map visualizes total population by country for 2022, using a threshold color scale with seven blues to indicate population ranges. It renders world geography via `d3.geoPath` with a Mercator projection, and loads country boundary data from a GeoJSON file while fetching population statistics from a CSV. Hovering over a country triggers animated opacity changes and highlights the selected region with a black stroke, with tooltips showing the country name and its population value.

AI-generated description

Source: https://data.worldbank.org/indicator/SP.POP.TOTL https://d3-graph-gallery.com/graph/choropleth_hover_effect.html

MIT Licensed

Similar vizzes

Loading thumbnail…

Choropleth World population map

A choropleth map of the world colors each country according to its population, using a threshold color scale with a sequential red palette. Hovering over a country dims others and reveals a tooltip with the country name and population in millions, while clicking zooms the map. Population data is joined to GeoJSON country outlines via three-letter country codes, and the map is rendered as SVG using `d3.geoRobinson`, `d3.geoPath`, and `d3.scaleThreshold` with an animated `transition` on opacity and stroke.

Pprateekvasi
86% match
Loading thumbnail…

Maps

This choropleth map visualizes world population by country using a blue sequential color scale. It loads GeoJSON country boundaries and a CSV of population data, joining them by ISO3 country codes. The map is rendered with D3.js, using `d3.geoNaturalEarth1` projection and `d3.geoPath` to draw SVG paths. Countries with missing data are shown in gray. Hovering over a country reveals a tooltip with the country name and formatted population. A gradient legend displays low-to-high population values with tick marks.

RRamdas Dheeraj
86% match
Loading thumbnail…

Choropleth World population map

A choropleth world map visualizes population data by country, using sequential color intensity from a threshold color scale to represent population magnitude. The visualization employs a Robinson projection to render the geographic layout, with each country's fill color derived from a CSV dataset joined to the GeoJSON map data. Interactive features include tooltips on hover, displaying the country name and calculated population in millions, while click and hover events trigger opacity and stroke changes. The implementation utilizes d3.geoPath for map drawing, d3.scaleThreshold for color classification, and d3.queue for asynchronous data loading, all rendered as SVG elements within a styled HTML container.

Vvishusikka
86% match
Loading thumbnail…

world population distribution

This choropleth map displays world population distribution across countries, with a dropdown menu to switch between years (1980–2030) and a tooltip revealing each country’s exact population on hover. It uses `d3.csv` and `d3.json` to load population data and GeoJSON topology, then renders paths via `d3.geoPath` with a Mercator projection. A threshold `colorScale` maps population ranges to blues, while a sidebar table lists the top ten most populous countries, updated dynamically through `updateTopCountries()` whenever the selected year changes.

Jjayanthbalina@gmail.com
85% match
Loading thumbnail…

Population Distribution

This choropleth map visualizes world population distribution across countries, with a dropdown menu to switch between years (1980, 2000, 2010, 2022, 2023, 2030). It uses d3.csv to load population data, d3.geoPath and d3.geoMercator for geographic rendering as SVG paths, and a d3.scaleThreshold color scale to encode population ranges. Hovering reveals a tooltip with the country name and population, while a sidebar table lists the top ten most populous countries, updated dynamically on year changes.

DDouglas mochama
85% match
Loading thumbnail…

World Map

This world map visualizes global population distribution, with countries shaded in increasingly deep reds to indicate higher 2022 population figures. The visualization loads geographic boundaries from the visionscarto-world-atlas TopoJSON file and joins it with population data from a CSV file. Using D3’s `geoNaturalEarth1` projection, `geoPath`, and `scaleSequential` with `interpolateReds`, it renders each country as a filled path. A graticule and outline provide geographic context, while the map fetches and processes the atlas data asynchronously via `fetch` and `topojson.feature`.

Aabell@wpi.edu
85% match
Loading thumbnail…

World Map

This interactive world map visualizes population data by country for 2018, using color and size to distinguish between regions with and without reported figures. The visualization employs a natural Earth projection via `d3.geoPath` and `d3.geoNaturalEarth1`, with countries rendered as SVG paths. Population values are mapped to circle sizes using `d3.scaleSqrt`, and a size legend with tick marks displays the scale. Users can pan and zoom through `d3.zoom`, and hovering over a country reveals its population via a tooltip. Data comes from a CSV file joined to TopoJSON world atlas geometry.

Rrohit181099
85% match
Loading thumbnail…

making map

This example shows a choropleth world map of population by country for 2022, with each country shaded according to its population using a sequential blue color scale. Countries with no data appear in light gray. The visualization loads population data from a GitHub-hosted JSON file, then uses `d3.json` to fetch country geometries from the world-atlas package, applies a Natural Earth projection with `d3.geoNaturalEarth1`, and renders the map as SVG paths via `d3.geoPath`. Tooltips display exact population values for each country.

Aadithiarikatla@gmail.com
84% match