Science & Technology Statistics in Malaysia

Explore trusted science & technology data and trends for Malaysia.

All Science & Technology datasets for Malaysia (72)

Dataset
Green transition hidden
OECD
–
Implied tax subsidy rates on R&D expenditures
OECD
0%
R&D tax expenditure and direct government funding of BERD
OECD
+18.7%
Bibliometric indicators of international collaboration
OECD
+1.3%
Patents - technology diffusion
OECD
−33.3%
Patents - international bilateral collaboration in technology development
OECD
–
Patents - international collaboration in technology development
OECD
+200%
Patents - technology development
OECD
0%
Own a mobile phone (% age 15+)
Gender Statistics
–
Own a mobile phone, men (% age 15+)
Gender Statistics
–
SIM number registered in own name (% age 15+)
Gender Statistics
–
SIM number registered in own name, men (% age 15+)
Gender Statistics
–
Daily mobile phone use (% age 15+)
Gender Statistics
–
Daily mobile phone use, men (% age 15+)
Gender Statistics
–
Read a text message on a mobile phone (% age 15+)
Gender Statistics
–
Read a text message on a mobile phone, women (% age 15+)
Gender Statistics
–
Read a text message on a mobile phone, men (% age 15+)
Gender Statistics
–
Can send a text message on a mobile phone (% age 15+)
Gender Statistics
–
Can send a text message on a mobile phone, women (% age 15+)
Gender Statistics
–
Can send a text message on a mobile phone, men (% age 15+)
Gender Statistics
–
Prefers receiving government news by SMS or text, women (% age 15+)
Gender Statistics
–
Prefers receiving government news by SMS or text, men (% age 15+)
Gender Statistics
–
Can change PIN or password on mobile phone without help, women (% age 15+)
Gender Statistics
–
Can change PIN or password on mobile phone without help, men (% age 15+)
Gender Statistics
–
Family member sets rules for mobile phone use (% age 15+)
Gender Statistics
–
Family member sets rules for mobile phone use, women (% age 15+)
Gender Statistics
–
Family member sets rules for mobile phone use, men (% age 15+)
Gender Statistics
–
Received phone call or SMS asking for money in the past 12 months (% age 15+)
Gender Statistics
–
Received phone call or SMS asking for money in the past 12 months, men (% age 15+)
Gender Statistics
–
Daily internet use (% age 15+)
Gender Statistics
–
Daily internet use, women (% age 15+)
Gender Statistics
–
Daily internet use, men (% age 15+)
Gender Statistics
–
Buys data package for internet use (% age 15+)
Gender Statistics
–
Buys data package for internet use, women (% age 15+)
Gender Statistics
–
Buys data package for internet use, men (% age 15+)
Gender Statistics
–
Buys data package monthly (% age 15+)
Gender Statistics
–
Buys data package monthly, women (% age 15+)
Gender Statistics
–
Buys data package monthly, men (% age 15+)
Gender Statistics
–
Sent a voice message in past three months (% age 15+)
Gender Statistics
–
Sent a voice message in past three months, women (% age 15+)
Gender Statistics
–
Sent a voice message in past three months, men (% age 15+)
Gender Statistics
–
Sent a photo in past three months (% age 15+)
Gender Statistics
–
Sent a photo in past three months, women (% age 15+)
Gender Statistics
–
Used social media in past three months (% age 15+)
Gender Statistics
–
Used social media in past three months, women (% age 15+)
Gender Statistics
–
Used social media in past three months, men (% age 15+)
Gender Statistics
–
Read news online in past three months, women (% age 15+)
Gender Statistics
–
Accessed online info to learn/train/educate in past three months (% age 15+)
Gender Statistics
–
Accessed online info to learn/train/educate in past three months, women (% age 15+)
Gender Statistics
–
Does not own a smartphone due to cost (% age 15+)
Gender Statistics
–
Main mobile phone is a smartphone (% age 15+)
Gender Statistics
–
Main mobile phone is a smartphone, women (% age 15+)
Gender Statistics
–
Main mobile phone is a smartphone, men (% age 15+)
Gender Statistics
–
Main mobile phone is a basic text phone (% age 15+)
Gender Statistics
–
Used the internet in the past three months, women (% age 15+)
Gender Statistics
–
Used the internet in the past three months, men (% age 15+)
Gender Statistics
–
Investment in ICT with private participation (current US$)
World Development Indicators
−74.8%
Public private partnerships investment in ICT (current US$)
World Development Indicators
−59.8%
Industrial design applications, nonresident, by count
World Development Indicators
+12.9%
Industrial design applications, resident, by count
World Development Indicators
−18.6%
Scientific and technical journal articles
World Development Indicators
+0.8%
Patent applications, nonresidents
World Development Indicators
+13.9%
Patent applications, residents
World Development Indicators
−10.7%
Trademark applications, nonresident, by count
World Development Indicators
+21.3%
Trademark applications, resident, by count
World Development Indicators
+9.3%
Mobile cellular subscriptions (per 100 people)
World Development Indicators
+3.3%
Fixed broadband subscriptions
World Development Indicators
+8.3%
Secure Internet servers (per 1 million people)
World Development Indicators
−7.5%
Individuals using the Internet, female (% of female population)
World Development Indicators
+1.4%
Individuals using the Internet, male (% of male population)
World Development Indicators
−0.7%
Africa's Development Dynamics (AfDD) Table 12 - Digitalisation
OECD
–
Africa's Development Dynamics (AfDD) Table 11 - Communications infrastructure
OECD
–

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