Trend · rank 13 of 250

Social protection coverage gaps

Changing employment patterns and household risks are outgrowing social protection systems in many countries, so that the costs of shocks fall directly on households, deepen poverty and weaken public consent for government.

Governance & IntegrityState capacity & governanceinequalityinstitutionsresilience

Second pass: Carried forward from the first pass, where it was Weak social protection. Held by all three panel models.

Sensitivity and network position

Rank
13of 250
Sensitivity
29.2rank 3
Breadth
4of 20 scenarios High or above
PageRank
64.3rank 15
Eigenvector
62.3
Betweenness
32.8
Links
19trends at Moderate similarity or above
Composite
54.3

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
0.10%rank 182 of 250 · a year earlier 0.10%
Now
81
Over a year
+6%Steady
Over three years
−37%
Peak
14622 Dec 2024
Sources
Bothagreement 0.65
Coverage
16languages · 25 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 (16 of 28). Share is of all the readers counted.

LanguageShareNowOver a yearThree years
English41%86−5%
Spanish11%74−12%
Japanese8%74−21%
Russian8%85−3%
German7%83−9%
French6%92−8%
Chinese4%105−3%
Italian4%87+5%
Polish2%79−21%
Arabic2%105+27%
Korean2%59−28%
Persian1%84+15%
Turkish1%114+2%
Bengali1%85+20%
Hebrew1%117+31%
Ukrainian1%57−18%

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.

The 12 highest of 25 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

PlaceRead fromNow90 days1 year3 yearsThree years
North AmericaGoogle in 2 countries + Wikipedia in English91+23%+6%−17%
EuropeGoogle in 8 countries + Wikipedia in German, French, Italian, Polish87−4%−6%−20%
Indo-PacificGoogle in 11 countries + Wikipedia in Japanese, Chinese, Korean100+10%+2%+2%
South AsiaGoogle in 3 countries + Wikipedia in Bengali88−34%+1%−2%
Gulf and Middle EastGoogle in 2 countries + Wikipedia in Persian, Arabic, Turkish, Hebrew111−5%+12%−8%
AfricaGoogle in 5 countries124+9%+84%+6%
Latin America and CaribbeanGoogle in 6 countries + Wikipedia in Spanish92−15%+4%−19%
Russia and EurasiaGoogle in 2 countries + Wikipedia in Russian, Ukrainian78+1%−17%−36%

G20 members

PlaceRead fromNow90 days1 year3 yearsThree years
ArgentinaGoogle87−37%+13%−19%
AustraliaGoogle92−1%+1%−1%
BrazilGoogle92−7%−12%−12%
CanadaGoogle91−15%+1%+2%
FranceGoogle + Wikipedia in French86+8%−14%−15%
GermanyGoogle + Wikipedia in German75−9%−23%−36%
IndiaGoogle + Wikipedia in Bengali89−32%+8%−5%
IndonesiaGoogle63−13%−27%−55%
ItalyGoogle + Wikipedia in Italian80−1%0%−42%
JapanGoogle + Wikipedia in Japanese87+46%−17%−17%
South KoreaGoogle + Wikipedia in Korean70+9%−38%−27%
MexicoGoogle179+1%+89%+82%
RussiaWikipedia in Russian85−1%−3%−33%
South AfricaGoogle325+48%+708%+369%
TürkiyeGoogle + Wikipedia in Turkish122+5%+11%+22%
United KingdomGoogle108+11%+11%+7%
United StatesGoogle + Wikipedia in English92+41%+9%−20%

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.

PlaceShare, last 13 weeksRank thereA year earlierRead from
World0.10%182 of 2500.10%Wikipedia reading in all 28 languages, and Google searching worldwide
Asia Pacific0.31%98 of 2500.39%Wikipedia reading in the region's own languages, not English; Google searching in 15 countries, not China
Europe0.28%86 of 2500.41%German, French, Italian, Polish, Dutch and Swedish reading; Google searching in 10 countries, the UK among them
Africa0.08%138 of 2500.20%Google searching in 7 countries; Afrikaans and Swahili reading reaches too few trends to count
South America0.81%36 of 2500.92%Spanish and Portuguese reading, Spanish also read in Spain; Google searching in 5 countries
North America2.3%8 of 2492.1%Google searching in the United States, Canada and Mexico; English reading cannot be split by country
Oceania0.02%219 of 2490.02%Google searching in Australia and New Zealand; English reading cannot be split by country
United States0.01%229 of 2490.02%Google searching; English reading cannot be split by country
United Kingdom0.01%236 of 2490.01%Google searching; English reading cannot be split by country
India0.01%224 of 2490.00%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
Russia0.32%93 of 2030.33%Russian reading, which is also done across the former Soviet states; Google's figures for Russia cannot be bought
Japan0.71%38 of 2500.95%Japanese reading and Google searching
Germany0.37%70 of 2500.51%German reading and Google searching
France0.28%81 of 2500.55%French reading, also done in Africa and Canada, and Google searching
Italy0.56%40 of 2500.57%Italian reading and Google searching
South Korea0.47%56 of 2500.56%Korean reading and Google searching
Indonesia0.01%225 of 2500.01%Google searching; Indonesian reading reaches too few trends to count
Brazil0.32%80 of 2500.34%Portuguese reading and Google searching
Türkiye0.01%53 of 2500.03%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.

RelationScenarioFamily
5 · Very highAn AI deployment step causes abrupt labour displacement S08Technology and infrastructure
4 · HighA global funding seizure reaches sovereign balance sheets S02Economic and trade
4 · HighTwo breadbasket failures trigger a food availability crisis S06Energy, climate and resources
4 · HighA major disaster disables the national economic core S07Energy, climate and resources
3 · ModerateA novel respiratory pathogen exceeds health surge capacity S10Health
3 · ModerateAffordable preventive treatments reduce chronic illness S19 ↗Health
2 · LowA disputed transfer of power breaks effective government S05Geopolitical and security
2 · LowA creditor agreement releases fiscal capacity S11 ↗Economic and trade
2 · LowA validated farming package raises water-efficient output S16 ↗Energy, climate and resources
2 · LowA public service platform reaches inclusive operation S18 ↗Technology and infrastructure
1 · Very lowCritical trade divides into rival blocs S01Economic and trade
1 · Very lowA regional war closes a globally important sea route S03Geopolitical and security
1 · Very lowHybrid coercion ends in an infrastructure blackout S04Geopolitical and security
1 · Very lowA verified Middle East settlement restores access S14 ↗Geopolitical and security
0 · Not relatedA cryptographic breakthrough invalidates digital trust S09Technology and infrastructure
0 · Not relatedA cross-regional market access compact redirects investment S12 ↗Economic and trade
0 · Not relatedA great-power agreement lowers economic security barriers S13 ↗Geopolitical and security
0 · Not relatedCheap firm clean power becomes available at scale S15 ↗Energy, climate and resources
0 · Not relatedAI-directed research produces a reproducible discovery step S17 ↗Technology and infrastructure
0 · Not relatedA live outbreak proves rapid distributed pandemic defence S20 ↗Health

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.

SimilarityTrendThemeRank
4 · HighState capacity & deliveryState capacity & governance1
4 · HighPublic procurement capabilityState capacity & governance6
4 · HighLocal & city government capacityState capacity & governance11
4 · HighCivil unrest & protest mobilisationState capacity & governance25
4 · HighOutsourcing & public-private deliveryState capacity & governance27
3 · ModerateCivil service capability & payState capacity & governance2
3 · ModerateRule of law & judicial independenceState capacity & governance3
3 · ModerateExecutive overreach & emergency powersState capacity & governance4
3 · ModerateCorruption & state captureState capacity & governance5
3 · ModerateRegulatory capture & lobbying powerState capacity & governance8
3 · ModerateEntrenched opportunity inequalityPeople, health & work9
3 · ModeratePublic communication in crisisInformation & trust10
3 · ModerateErosion of rights & civic freedomsState capacity & governance14
3 · ModeratePolarisation & populismState capacity & governance15
3 · ModerateFiscal rules & budget credibilityState capacity & governance17
3 · ModerateOfficial statistics & data capacityState capacity & governance21
3 · ModerateCentral bank independence under pressureState capacity & governance64
3 · ModerateInformal employment persistencePeople, health & work84
3 · ModerateAlgorithmic accountability & biasState capacity & governance135