Singapore vs Svalbard and Jan Mayen: Urban and rural population projected to 2050
Singapore
0 people
in 2050
Svalbard and Jan Mayen
2.32 people
in 1940
Singapore rank
224th
Svalbard and Jan Mayen rank
223rd
Urban and rural population projected to 2050 over time
- Singapore
- Svalbard and Jan Mayen
How they compare
Svalbard and Jan Mayen currently reports 2.32 people against 0 people in Singapore, a difference of 2.32 people.
Across all 32 years both countries report, Singapore has been ahead every year.
Singapore ranks 224th and Svalbard and Jan Mayen ranks 223rd of 238 countries.
Singapore has averaged higher in every one of the 32 decades both report.
Head to head by decade
| Decade | Singapore | Svalbard and Jan Mayen | Difference | Ahead |
|---|---|---|---|---|
| 1000s | 78.73 people | 0 people | 78.73 people | Singapore |
| 1100s | 118.09 people | 0 people | 118.09 people | Singapore |
| 1200s | 177.12 people | 0.8085 people | 176.32 people | Singapore |
| 1300s | 265.67 people | 1.01 people | 264.66 people | Singapore |
| 1400s | 398.4 people | 1.26 people | 397.14 people | Singapore |
| 1500s | 597.16 people | 1.57 people | 595.59 people | Singapore |
| 1600s | 893.74 people | 1.96 people | 891.78 people | Singapore |
| 1700s | 1,332 people | 2.44 people | 1,329 people | Singapore |
| 1710s | 1,719 people | 2.58 people | 1,716 people | Singapore |
| 1720s | 2,219 people | 2.72 people | 2,216 people | Singapore |
| 1730s | 2,863 people | 2.87 people | 2,860 people | Singapore |
| 1740s | 3,691 people | 3.03 people | 3,688 people | Singapore |
| 1750s | 4,756 people | 3.2 people | 4,752 people | Singapore |
| 1760s | 6,122 people | 3.37 people | 6,118 people | Singapore |
| 1770s | 7,871 people | 3.55 people | 7,868 people | Singapore |
| 1780s | 10,107 people | 3.74 people | 10,103 people | Singapore |
| 1790s | 12,957 people | 3.93 people | 12,953 people | Singapore |
| 1800s | 16,577 people | 4.12 people | 16,573 people | Singapore |
| 1810s | 21,157 people | 4.32 people | 21,153 people | Singapore |
| 1820s | 26,920 people | 4.76 people | 26,915 people | Singapore |
| 1830s | 34,124 people | 5.23 people | 34,118 people | Singapore |
| 1840s | 43,051 people | 5.73 people | 43,045 people | Singapore |
| 1850s | 53,991 people | 6.24 people | 53,985 people | Singapore |
| 1860s | 67,197 people | 6.75 people | 67,191 people | Singapore |
| 1870s | 82,809 people | 6.55 people | 82,802 people | Singapore |
| 1880s | 100,716 people | 6.29 people | 100,710 people | Singapore |
| 1890s | 120,325 people | 5.94 people | 120,319 people | Singapore |
| 1900s | 140,164 people | 5.47 people | 140,159 people | Singapore |
| 1910s | 157,239 people | 4.86 people | 157,234 people | Singapore |
| 1920s | 165,982 people | 4.48 people | 165,978 people | Singapore |
| 1930s | 184,408 people | 3.69 people | 184,404 people | Singapore |
| 1940s | 128,639 people | 2.32 people | 128,637 people | Singapore |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher urban and rural population projected to 2050, Singapore or Svalbard and Jan Mayen?
- Svalbard and Jan Mayen, at 2.32 people against 0 people in Singapore as of 1940.
- What is the difference in urban and rural population projected to 2050 between Singapore and Svalbard and Jan Mayen?
- 2.32 people, with Svalbard and Jan Mayen ahead.
- How many years of comparable data are there for Singapore and Svalbard and Jan Mayen?
- 32 years are reported by both, from 1000 to 1940.
- How do Singapore and Svalbard and Jan Mayen rank globally for urban and rural population projected to 2050?
- Singapore ranks 224th and Svalbard and Jan Mayen ranks 223rd of 238 countries.
- Where does this data come from?
- HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025) – with minor processing by Our World in Data, published as Urban and rural population projected to 2050. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Number of people living in rural areas, combining UN estimates and projections with modeled historical data.