We measure how the world's news covered people being harmed — and the help and hope within it.
98 of its 139 stories (71%) were about people being harmed, usually 38%. Havana accounted for 44 of Cuba's 98 stories about harm, carried by 258 outlets. 23 of Havana's 44 stories were about protests or strikes. Reports of abductions ran at about 5 times the usual rate (12 stories). Hurricane was named in 36 of its stories about harm, about 7 times usual, with landslides.
21 of its 114 stories (18%) were about people being harmed, usually 9%. Reports of people injured ran at about 5 times the usual rate (7 stories). Its coverage was about one and a half times as grief-stricken as the world's.
99 of its 258 stories (38%) were about people being harmed, usually 28%. Earthquake was named in 10 of its stories about harm, about 8 times usual.
110 of its 335 stories (33%) were about people being harmed, usually 24%. Reports of evacuations ran at about 4 times the usual rate (15 stories).
115 of its 181 stories (64%) were about people being harmed, usually 52%. Ladakh accounted for 82 of Kashmir's 115 stories about harm, carried by 39 outlets. 77 of Ladakh's 82 stories were about protests or strikes. Reports of arrests ran at about three times the usual rate (28 stories).
9 of its 11 stories (82%) were about people being harmed, usually 25%. 8 of Antananarivo's 8 stories were about protests or strikes. Reports of people killed ran at about three times the usual rate (7 stories).
41 of Jerusalem's 78 stories were about protests or strikes. Reports of refugees ran at about 6 times the usual rate (40 stories). Its coverage was about twice as grief-stricken as the world's.
Gaza accounted for 114 of Palestine's 147 stories about harm, carried by 103 outlets. Reports of refugees ran at about twice the usual rate (10 stories). Its coverage was about twice as grief-stricken as the world's.
1,054 of its 4,078 stories (26%) were about people being harmed, usually 20%. Reports of people injured ran at about three times the usual rate (150 stories).
9 of its 20 stories (45%) were about people being harmed, usually 23%. 3 of Lima's 3 stories were about protests or strikes.
Also named far more than usual: earthquake in China (18 of its stories, more than ten times its usual); hypothermia in France (12 of its stories, more than ten times its usual); food poisoning in Indonesia (10 of its stories, about 5 times its usual); hurricane in US (313 of its stories, about three times its usual); poisoning in UK (16 of its stories, about 4 times its usual).
Stories about people being harmed, in every 100 stories, the 30 days to 27 Sep. The big dot is this day; the shaded band is a normal day (the 30 days before it). Click a day to open it. Based on 9,694 stories about harm among 49,238 counted on 27 Sep.
People falling ill were reported at about three times the usual rate, most often about the US and Canada. of the day's 49,238 news stories, 20 in every 100 were about people being harmed, above the usual 19. Cuba's news mentioned the hurricane about 7 times as often as usual. Cuba's news was 71% about people being harmed, against a usual 38%. On 27 September 2024, a year earlier, the share was 20 in every 100, the same as today.
Written by code from the day's numbers.
Countries with at least 50 stories that day.
Stories, not people.
The day's biggest events: attacks, accidents and disasters, people displaced, protests, outbreaks. Bigger dot: more stories. Ranked by the share of the day's outlets that reported it and how clearly it was about one thing, the same way for every place and year; the news data does not say who attacked whom, so both sides of a war appear where the news put them. Click a dot for its stories.
Of the stories about people being harmed, what part of life each was about. The mark is usual.
Stories that report it, not people: we count what reporters wrote, not what happened.
The words in the day's stories were harsher than usual. Filled dot: today. Ring: usual.
From the words reporters used across the whole day, never one story. Fear is the weakest of the four measures. How?
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