---
title: 'How does Portland fare on the map of 6 billion geotagged tweets?'
date: '2014-12-11T14:00:11-08:00'
type: post
word_count: 307
char_count: 1932
tokens: 400
categories:
  - '#featured'
  - Maps
  - Oregon
  - Portland
  - Twitter
tags:
  - geotagged
  - map
  - Portland
  - tweets
  - Twitter
---

# How does Portland fare on the map of 6 billion geotagged tweets?

Back in the early days of [Twitter](http://twitter.com "Twitter"), Portland was often one of the more prominent towns on the platform. Getting topics to trend was a regular occurrence. And using the service to spread news and [weather](http://siliconflorist.com/2013/12/20/bad-jokes-good-portland-twitter-storm-team-hashtag-joke-valuable-weather-resource/ "Bad jokes gone good: How the Portland Twitter! Storm! Team! hashtag joke became a valuable weather resource") was commonplace.

So when I heard that [Eric Fischer at Mapbox](https://www.mapbox.com/about/team/#eric-fischer "Eric Fischer") had created a map of more than 6 billion geotagged tweets, I was excited to see how Portland looked.

The entire map is embedded below. Or you can view [visualize Portland geotagged tweets](https://api.tiles.mapbox.com/v4/enf.c3a2de35/page.html?access_token=pk.eyJ1IjoiZW5mIiwiYSI6IkNJek92bnMifQ.xn2_Uj9RkYTGRuCGg4DXZQ#11/45.5403/-122.6781 "Portland geotagged tweets").

[https://a.tiles.mapbox.com/v4/enf.c3a2de35.html?access\_token=pk.eyJ1IjoiZW5mIiwiYSI6IkNJek92bnMifQ.xn2\_Uj9RkYTGRuCGg4DXZQ](https://a.tiles.mapbox.com/v4/enf.c3a2de35.html?access_token=pk.eyJ1IjoiZW5mIiwiYSI6IkNJek92bnMifQ.xn2_Uj9RkYTGRuCGg4DXZQ)

> I’ve been tracking geotagged tweets from Twitter’s public API for the last three and a half years. There are about 10 million public geotagged tweets every day, which is about 120 per second, up from about 3 million a day when I first started watching. The accumulated history adds up to nearly three terabytes of compressed JSON and is growing by four gigabytes a day. And here is what those 6,341,973,478 tweets look like on a map, at any scale you want.

For more information on how this was created, see [Making the most detailed tweet map ever](https://www.mapbox.com/blog/twitter-map-every-tweet/ "Making the most detailed tweet map ever").