Hungary
Download Report Key Indicators
| Income Group | High income |
| Regional Group | Europe |
| Population (Total) | 9,768,785 |
| Population as a share world total | 0.13% |
| GDP (current US$, millions) | 156,000 |
| GDP as a share of world total | 0.18% |
| GDP per capita, PPP (current international $) | 30,979 |
Performance Overview
IS03
HUN
Country
Hungary
Score
59.95
Rank
38
Technology
61.42
People
47.39
Governance
66.67
Impact
64.32
| 1. Mobile tariffs | 81.93 | 23 |
| 2. Cost of cheapest internet-enable device (% of monthly GDP per capita) | 62.46 | 35 |
| 3. Households with internet acccess | 82.19 | 38 |
| 4. 4G mobile network coverage (% of population) | 99.2 | 22 |
| 5. Fixed-broadband subscriptions, 10Mbit/s or above (% of totaal subscriptions) | 93.29 | 24 |
| 6. International internet bandwidth, kb/s per Internet user | 69.04 | 58 |
| 7. Proportion of primary schools with access to Internet for pedagogical purpose | 100 | 1 |
| 1. Digital participation | n/a | n/a |
| 2. Mobile apps development | 74 | 38 |
| 3. Receipts for the use of intellectual property | 8.35 | 16 |
| 1. Availability of latest technologies | 64.54 | 42 |
| 2. Company investment in emerging technology | 22.27 | 94 |
| 3. Government procurement of advanced technology products | 28.13 | 95 |
| 4. ICT PCT patent applications per million population | 39.93 | 23 |
| 5. Total computer software spending (% of GDP) | 27.27 | 30 |
| 6. Robot density | 24.95 | 23 |
| 1. Medium and high-tech industry | ||
| 2. High-tech exports | ||
| 3. PCT patent applications | ||
| 4. Labour productivity per employee |
| 1. Happiness | ||
| 2. Freedom to make life choices | ||
| 3. Income inequality | ||
| 4. Healthy life expectancy at birth |
| 1. Access to basic services | ||
| 2. Pollution | ||
| 3. Road safety | ||
| 4. Reading proficiency in schools | ||
| 5. Maths proficiency in schools | ||
| 5. Use of clean fuels and technology |
| 1. Internet users | 73.76 | 50 |
| 2. Active mobile-broadband subscriptions | 25.33 | 76 |
| 3. Use of virtual social networks | 61.54 | 45 |
| 5. Tertiary enrolment | 35.11 | 61 |
| 5. Adult literacy rate | 98.64 | 17 |
| 6. ICT skills | 56.52 | 27 |
| 1. Firms with website | 61.16 | 47 |
| 2. Internet shopping | 36.86 | 39 |
| 3. Professionals | 39.19 | 41 |
| 4. Technicians and associate professionals | 63.78 | 21 |
| 5. Extent of staff training | 29.28 | 91 |
| 6. R&D expenditure by businesses | 25.14 | 22 |
| 1. Government online services | 70.77 | 57 |
| 2. Publication and use of open data | 23.3 | 63 |
| 3.ICT use and government efficiency | 39.24 | 75 |
| 4. R&D expenditure by governments and higher education | 31.14 | 53 |
| 1. Rule of law | 66 | 39 |
| 2. Software piracy rate | 71.62 | 26 |
| 3. Secure Internet servers | 84.17 | 22 |
| 4. Cybersecurity | 86.95 | 33 |
| 5. Online trust and safety | 36.53 | 82 |
| 1. Regulatory quality | 64.68 | 41 |
| 2. Ease of doing business | 76.39 | 50 |
| 3. Legal framework's adaptability to digital business models | ||
| 4. E-commerce legislation | ||
| 5. Social safety net protection | ||
| 6. ICT regulatory environment |
| 1. E-Participation | ||
| 2. Socioeconomic gap in use of digital payments | ||
| 3. Availability of local online content | ||
| 4. Gender gap in internet use | ||
| 5. Rural gap in use of digital payments |