People · Asia
MalaysiaSource dates shown with each finding
Public opinion and socioeconomic subgroup evidence from approved external survey sources. Exact source framing and methodological caveats remain visible.
Nearly nine in ten respondents in Malaysia said they were very or somewhat worried that violent crime could cause serious harm.
Lloyd's Register Foundation World Risk Poll · Fieldwork 2025 · N=984
Housing, education, work and family choices increasingly collide with financial pressure. PolisMetric keeps the U.S. Pew benchmark separate from Deloitte’s same-wave Gen Z and millennial country evidence so unlike questions are never forced into one ranking.
No country-specific 2026 financial-milestones topline has been source-verified for publication in the current governed pass. Missing is not estimated.
Missing is kept missing — never estimated, copied from a regional average or treated as zero.These 15 country results come from the same Deloitte 2026 survey wave and the same question. Paired dots show published percentages for Gen Z and millennials; the connector shows the gap. This is not a quality ranking. Countries without a verified national value remain outside the ranking.
Deloitte Global 2026 Gen Z and Millennial Survey · fielded Nov. 24, 2025–Jan. 15, 2026 · online self-complete survey. The global study includes 22,595 respondents in 44 countries; this chart contains only source-verified country cuts in the current PolisMetric evidence pass.
Country-specific research remains open. The international chart above is evidence from other countries and is not presented as a value for Malaysia.
PolisMetric does not assume that the U.S. pattern applies everywhere. For Malaysia, political or gender-attitude evidence is shown only when a governed source supports it, and mental-health evidence is kept methodologically separate. An association is never inferred merely because both measures appear on the same page.
Sapien Labs' Global Mind Project ranks Malaysia's internet-enabled 18–34 population at #68 of 84. This is a young-adult country context, not a women-only result and not a depression prevalence estimate.
Political ideology, party affiliation, feminist self-identification, psychological distress and MHQ are different constructs. Cross-country cultural and sampling differences also matter. PolisMetric keeps the measures separate unless a single defensible study directly estimates their relationship in the same population.
A directly comparable baseline from the Wellcome Global Monitor. “Most trusted source,” trust in government advice, and trust in medical workers are kept as separate measures. The survey was fielded in 2018; newer country-specific evidence is shown separately when a governed source is available.
named doctors or nurses as the person they trusted most for medical or health advice.
2018 national sample n=1,000 · prevalence rank #5 of 35 current PolisMetric countriesBars use the full weighted country sample denominator, matching Wellcome’s published convention. “Don’t know” and refusals remain in the denominator and are preserved as missing-response metadata.
Don’t know / refused: 0.8% of the weighted sample.
Share answering that they trust government medical and health advice a lot or some.
Share saying they trust advice from medical workers such as doctors and nurses a lot or some.
Switch measures to inspect directly comparable 2018 values. Bars show response prevalence, not a quality score or PolisMetric ranking.
Gallup (2019), Wellcome Global Monitor – First Wave Findings. PolisMetric visualization and weighted aggregation from published survey fields. The Wellcome report states that its data and text are distributed under CC BY with attribution; report images are excluded. PolisMetric uses original charts and does not reproduce Wellcome’s graphic design.
Country percentages use the public within-country survey weight (wgt) and the full weighted country sample denominator, matching Wellcome's published country convention. Q21/Q22 combine 'A lot' + 'Some'. Don't know/refused responses remain in the denominator and are preserved as missing-response metadata; unavailable questions remain null and are never converted to zero. Fieldwork: April–December 2018. This supplemental module does not count as five independent People sources.
Four directly comparable measures from Pew Research Center’s 2026 global AI study. Rankings below describe the prevalence of each response among the 25 PolisMetric countries covered by this release; they are not quality scores.
of adults say AI will lead to fewer jobs in Malaysia over the next 20 years.
Share rank #20 of 25 covered PolisMetric countries · covered-country median 48%Share of adults saying AI will lead to fewer jobs in their country over the next 20 years.
Field period: Feb. 8–May 13, 2026Share saying AI will increase the gap between rich and poor in their country over the next 20 years.
Field period: Feb. 8–May 13, 2026Share saying they are more concerned than excited about the increased use of AI in daily life.
Field period: Feb. 8–May 13, 2026Share saying they have heard or read a lot about artificial intelligence.
Field period: Feb. 8–May 13, 2026Switch the measure to compare every directly surveyed PolisMetric country on the same 0–100% scale. Malaysia is highlighted; the gold marker shows the 25-country median.
Pew Research Center, Globally, More People Expect AI to Cause Job Loss Than Growth, published Sept. 17, 2026. International country results were fielded Feb. 8–May 13, 2026; U.S. measures shown here use the field periods printed on each card.
Pew surveyed 37 places overall. This PolisMetric comparison is restricted to the 25 countries that overlap the canonical 35-country universe. Source results are reproduced as attributed public toplines; PolisMetric does not reinterpret them as an original poll.
