Sensitivity and network position
- Rank
- 138of 250
- Sensitivity
- 10.8rank 85
- Breadth
- 2of 20 scenarios High or above, 1 Critical
- PageRank
- 30.5rank 149
- Eigenvector
- 1.1
- Betweenness
- 8.2
- Links
- 11trends at Moderate similarity or above
- Composite
- 19.2
Attention over three years
How much this trend is read about on Wikipedia and searched for on Google, week by week, set against the typical trend in the list so that what moves every trend at once is taken out. 100 is this trend's own three-year average. The score measures public attention, which is not the same as the strength of the force: a trend can deepen unnoticed, and a news event can lift attention for a fortnight.
- Share of attention
- 1.7%rank 9 of 250 · a year earlier 2.0%
- Now
- 81
- Over a year
- +3%Steady
- Over three years
- −37%
- Peak
- 102321 Apr 2024
- Sources
- Bothagreement 0.22
- Coverage
- 23languages · 65 nations
Trailing 4-week average. 100 is this trend’s three-year average.
By language
Wikipedia reading in each language edition where the trend’s pages are read enough to measure (23 of 28). Share is of all the readers counted.
| Language | Share | Now | Over a year | Three years |
|---|---|---|---|---|
| English | 52% | 101 | +12% | |
| French | 10% | 160 | +55% | |
| Turkish | 5% | 40 | −58% | |
| German | 5% | 124 | +28% | |
| Vietnamese | 3% | 123 | +35% | |
| Korean | 3% | 79 | −16% | |
| Spanish | 2% | 116 | +42% | |
| Bengali | 2% | 73 | −65% | |
| Chinese | 2% | 124 | +55% | |
| Italian | 2% | 155 | +85% | |
| Japanese | 2% | 144 | +4% | |
| Hindi | 2% | 74 | −33% | |
| Russian | 1% | 96 | −13% | |
| Arabic | 1% | 147 | +77% | |
| Malay | 1% | 43 | −27% | |
| Dutch | 1% | 126 | +47% | |
| Portuguese | 1% | 160 | +95% | |
| Indonesian | 1% | 120 | +43% | |
| Ukrainian | 1% | 72 | +39% | |
| Polish | 1% | 96 | −10% | |
| Tamil | 1% | 60 | −38% | |
| Hebrew | 0% | 87 | −16% | |
| Swedish | 0% | 140 | +27% |
By country
Google search interest over the three years, as a share of each country’s searching. 100 is the nation where interest is highest. The search terms are English, which favours countries that search in English.
100
81
74
74
71
68
65
59
56
52
50
50
The 12 highest of 65 nations with a reading. All countries (CSV).
By region and G20 member
Attention to this trend inside each place, from Google searches made in its countries and Wikipedia reading in the languages mostly read there, averaged where both exist. Each line compares the trend with its own past in that place; the lines do not compare places.
Regions
| Place | Read from | Now | 90 days | 1 year | 3 years | Three years |
|---|---|---|---|---|---|---|
| North America | Google in 2 countries + Wikipedia in English | 80 | 0% | +6% | −30% | |
| Europe | Google in 8 countries + Wikipedia in German, French, Italian, Polish, Dutch, Swedish | 177 | +22% | +111% | +107% | |
| China | Google in 1 country | 73 | −3% | −1% | −37% | |
| Indo-Pacific | Google in 11 countries + Wikipedia in Japanese, Chinese, Korean, Vietnamese, Indonesian, Malay | 88 | +9% | −1% | −2% | |
| South Asia | Google in 4 countries + Wikipedia in Hindi, Bengali, Tamil | 61 | −23% | −46% | −35% | |
| Gulf and Middle East | Google in 6 countries + Wikipedia in Arabic, Turkish, Hebrew | 73 | −5% | −17% | −39% | |
| Africa | Google in 6 countries | 80 | +37% | +29% | −33% | |
| Latin America and Caribbean | Google in 6 countries + Wikipedia in Spanish, Portuguese | 124 | −6% | +29% | +59% | |
| Russia and Eurasia | Google in 3 countries + Wikipedia in Russian, Ukrainian | 94 | −1% | −28% | +2% |
G20 members
| Place | Read from | Now | 90 days | 1 year | 3 years | Three years |
|---|---|---|---|---|---|---|
| Argentina | 123 | −6% | +6% | +71% | ||
| Australia | 72 | +51% | −30% | −36% | ||
| Brazil | Google + Wikipedia in Portuguese | 143 | −8% | +16% | +134% | |
| Canada | 52 | +9% | −15% | −61% | ||
| China | 73 | −3% | −1% | −37% | ||
| France | Wikipedia in French | 160 | +14% | +55% | +89% | |
| Germany | Google + Wikipedia in German | 159 | 0% | +58% | +90% | |
| India | Google + Wikipedia in Hindi, Bengali, Tamil | 64 | −22% | −41% | −30% | |
| Indonesia | Google + Wikipedia in Indonesian | 105 | +24% | +17% | +61% | |
| Italy | Google + Wikipedia in Italian | 311 | +118% | +452% | +286% | |
| Japan | Google + Wikipedia in Japanese | 115 | +33% | −6% | +16% | |
| South Korea | Google + Wikipedia in Korean | 71 | −10% | −19% | −17% | |
| Mexico | 79 | −25% | +2% | −2% | ||
| Russia | Wikipedia in Russian | 96 | −31% | −13% | −1% | |
| Saudi Arabia | 55 | +2% | −50% | −27% | ||
| South Africa | 54 | −42% | −34% | −25% | ||
| Türkiye | Google + Wikipedia in Turkish | 69 | −15% | −31% | −32% | |
| United Kingdom | 54 | −20% | −21% | −57% | ||
| United States | Google + Wikipedia in English | 82 | +1% | +8% | −27% |
Share of attention by region
GINC Share of Attention: this trend's share of all the public attention the trends in the list draw, worldwide and in each region, week by week (a 4-week average). Each place is read from the Wikipedia languages mostly read there and Google searching in its countries; where a place's language is shared with others, as English is, Google stands alone.
| Place | Share, last 13 weeks | Rank there | A year earlier | Read from |
|---|---|---|---|---|
| World | 1.7% | 9 of 250 | 2.0% | Wikipedia reading in all 28 languages, and Google searching worldwide |
| Asia Pacific | 2.1% | 8 of 250 | 3.1% | Wikipedia reading in the region's own languages, not English; Google searching in 15 countries, not China |
| Europe | 6.1% | 2 of 250 | 3.7% | German, French, Italian, Polish, Dutch and Swedish reading; Google searching in 10 countries, the UK among them |
| Africa | 2.0% | 7 of 250 | 1.9% | Google searching in 7 countries; Afrikaans and Swahili reading reaches too few trends to count |
| South America | 0.42% | 69 of 250 | 0.34% | Spanish and Portuguese reading, Spanish also read in Spain; Google searching in 5 countries |
| North America | 0.96% | 19 of 249 | 0.89% | Google searching in the United States, Canada and Mexico; English reading cannot be split by country |
| Oceania | 2.1% | 9 of 249 | 2.1% | Google searching in Australia and New Zealand; English reading cannot be split by country |
| United States | 1.3% | 14 of 249 | 1.1% | Google searching; English reading cannot be split by country |
| United Kingdom | 1.4% | 10 of 249 | 1.1% | Google searching; English reading cannot be split by country |
| India | 1.9% | 11 of 249 | 1.1% | Google searching; Hindi, Bengali and Tamil reading reaches too few trends to count, and English cannot be split by country |
| China | · | · | · | Wikipedia and Google are blocked in China; no open source counts reading there |
| Russia | 0.23% | 122 of 203 | 0.20% | Russian reading, which is also done across the former Soviet states; Google's figures for Russia cannot be bought |
| Japan | 0.88% | 29 of 250 | 1.0% | Japanese reading and Google searching |
| Germany | 3.9% | 2 of 250 | 3.1% | German reading and Google searching |
| France | 13.6% | 1 of 250 | 7.8% | French reading, also done in Africa and Canada, and Google searching |
| Italy | 9.0% | 2 of 250 | 3.7% | Italian reading and Google searching |
| South Korea | 1.3% | 12 of 250 | 2.2% | Korean reading and Google searching |
| Indonesia | 1.2% | 11 of 250 | 1.6% | Google searching; Indonesian reading reaches too few trends to count |
| Brazil | 0.37% | 72 of 250 | 0.27% | Portuguese reading and Google searching |
| Türkiye | 0.00% | 123 of 250 | 0.00% | Google searching; Turkish reading reaches too few trends to count |
Relation to each scenario
A trend relates to a scenario when it changes how likely the scenario is, how hard it lands, or is itself sharply changed by it. Each score is the median of three scores given separately by the members of the model panel.
Related trends
Similarity = 0.3 × shared tags (Jaccard) + 0.3 × likeness of scenario profiles (cosine) + 0.3 × likeness of names and descriptions (TF-IDF cosine) + 0.1 if in the same capability domain, cut into seven levels at 0.12, 0.22, 0.33, 0.45, 0.58, 0.72. Shown at Moderate and above.
| Similarity | Trend | Theme | Rank |
|---|---|---|---|
| 4 · High | Dams, reservoirs & flood defence | Energy, networks & climate resilience | 137 |
| 4 · High | Biodiversity & ecosystem loss | Food, water & nature | 181 |
| 4 · High | Early-warning coverage | Energy, networks & climate resilience | 204 |
| 3 · Moderate | Urban population concentration | Energy, networks & climate resilience | 61 |
| 3 · Moderate | Water treatment & desalination | Energy, networks & climate resilience | 89 |
| 3 · Moderate | Agricultural soil degradation | Food, water & nature | 148 |
| 3 · Moderate | Urban cooling infrastructure | Energy, networks & climate resilience | 151 |
| 3 · Moderate | Freshwater stress & transboundary water | Food, water & nature | 187 |
| 3 · Moderate | Resilient construction & asset adaptation | Energy, networks & climate resilience | 194 |
| 3 · Moderate | Disaster risk finance | Energy, networks & climate resilience | 209 |
| 3 · Moderate | Climate-related population relocation | Energy, networks & climate resilience | 221 |