Economy: Singapore
← All companiesKey economic indicators for Singapore and the economies it trades most with — annual history, IMF projections (marked F), and fresh monthly/quarterly Singapore series. Global trade conditions and partner-economy health drive many SGX-listed companies, so this page is the macro backdrop for the stock screens on this site.
Singapore — latest monthly & quarterly
Singapore CPI inflation (monthly) (% vs year ago)
Consumer-price inflation computed from SingStat's monthly CPI index (2024 as base year): each month's index compared with the same month a year earlier. Fresher than the annual IMF figure below — this is the number MAS watches when setting policy.
Data table
| May 2026 | 1.82 |
| Apr 2026 | 1.76 |
| Mar 2026 | 1.80 |
| Feb 2026 | 1.23 |
| Jan 2026 | 1.43 |
| Dec 2025 | 1.19 |
| Nov 2025 | 1.19 |
| Oct 2025 | 1.21 |
| Sep 2025 | 0.67 |
| Aug 2025 | 0.55 |
| Jul 2025 | 0.63 |
| Jun 2025 | 0.80 |
| May 2025 | 0.77 |
| Apr 2025 | 0.86 |
| Mar 2025 | 0.89 |
| Feb 2025 | 0.92 |
| Jan 2025 | 1.17 |
| Dec 2024 | 1.50 |
| Nov 2024 | 1.60 |
| Oct 2024 | 1.16 |
| Sep 2024 | 1.89 |
| Aug 2024 | 2.17 |
| Jul 2024 | 2.46 |
| Jun 2024 | 2.52 |
| May 2024 | 3.12 |
| Apr 2024 | 2.64 |
| Mar 2024 | 3.02 |
| Feb 2024 | 3.58 |
| Jan 2024 | 3.11 |
| Dec 2023 | 3.75 |
| Nov 2023 | 3.58 |
| Oct 2023 | 4.76 |
| Sep 2023 | 4.13 |
| Aug 2023 | 4.06 |
| Jul 2023 | 4.12 |
| Jun 2023 | 4.52 |
| May 2023 | 5.06 |
| Apr 2023 | 5.76 |
| Mar 2023 | 5.54 |
| Feb 2023 | 6.31 |
Source: SingStat Table Builder (M213751)
Singapore unemployment rate (quarterly) (%)
Total unemployment rate at the end of each quarter, from the Ministry of Manpower via SingStat. Includes residents and non-residents.
Data table
| 2026 Q1 | 1.90 |
| 2025 Q4 | 1.80 |
| 2025 Q3 | 1.90 |
| 2025 Q2 | 2.40 |
| 2025 Q1 | 1.80 |
| 2024 Q4 | 1.70 |
| 2024 Q3 | 1.80 |
| 2024 Q2 | 2.40 |
| 2024 Q1 | 1.90 |
| 2023 Q4 | 1.80 |
| 2023 Q3 | 1.90 |
| 2023 Q2 | 2.40 |
| 2023 Q1 | 1.60 |
| 2022 Q4 | 1.80 |
| 2022 Q3 | 2.00 |
| 2022 Q2 | 2.60 |
| 2022 Q1 | 2.00 |
| 2021 Q4 | 2.10 |
| 2021 Q3 | 2.50 |
| 2021 Q2 | 3.40 |
| 2021 Q1 | 2.60 |
| 2020 Q4 | 2.80 |
| 2020 Q3 | 3.20 |
| 2020 Q2 | 3.80 |
| 2020 Q1 | 2.20 |
| 2019 Q4 | 2.00 |
| 2019 Q3 | 2.00 |
| 2019 Q2 | 3.00 |
| 2019 Q1 | 2.00 |
| 2018 Q4 | 1.90 |
| 2018 Q3 | 1.90 |
| 2018 Q2 | 2.70 |
| 2018 Q1 | 1.90 |
| 2017 Q4 | 1.80 |
| 2017 Q3 | 1.90 |
| 2017 Q2 | 2.90 |
| 2017 Q1 | 2.10 |
| 2016 Q4 | 1.90 |
| 2016 Q3 | 1.80 |
| 2016 Q2 | 2.80 |
Source: SingStat Table Builder (M182341)
Singapore trade balance (monthly) (S$ billions)
Merchandise exports minus imports each month, in Singapore dollars — the freshest read on trade competitiveness. Positive = Singapore sold more goods to the world than it bought that month.
Data table
| May 2026 | 4.17 |
| Apr 2026 | 13.84 |
| Mar 2026 | 9.91 |
| Feb 2026 | 5.80 |
| Jan 2026 | 14.17 |
| Dec 2025 | 2.42 |
| Nov 2025 | 8.53 |
| Oct 2025 | 7.94 |
| Sep 2025 | 6.06 |
| Aug 2025 | 4.92 |
| Jul 2025 | 7.20 |
| Jun 2025 | 8.90 |
| May 2025 | 5.93 |
| Apr 2025 | 11.71 |
| Mar 2025 | 4.93 |
| Feb 2025 | 7.52 |
| Jan 2025 | 5.11 |
| Dec 2024 | 4.01 |
| Nov 2024 | 6.53 |
| Oct 2024 | 4.69 |
| Sep 2024 | 5.38 |
| Aug 2024 | 5.81 |
| Jul 2024 | 6.26 |
| Jun 2024 | 3.16 |
| May 2024 | 4.13 |
| Apr 2024 | 2.92 |
| Mar 2024 | 5.70 |
| Feb 2024 | 6.10 |
| Jan 2024 | 8.45 |
| Dec 2023 | 7.22 |
| Nov 2023 | 6.16 |
| Oct 2023 | 6.18 |
| Sep 2023 | 5.48 |
| Aug 2023 | 4.30 |
| Jul 2023 | 5.73 |
| Jun 2023 | 6.35 |
| May 2023 | 5.17 |
| Apr 2023 | 4.34 |
| Mar 2023 | 7.48 |
| Feb 2023 | 7.53 |
Source: SingStat Table Builder (M451021,M451031)
Singapore — tech & industry (monthly)
Singapore NODX growth (monthly) (% vs year ago)
Non-oil domestic exports — goods actually made in Singapore, excluding oil and re-exports — versus the same month a year earlier. THE headline monthly gauge of Singapore's export engine, dominated by electronics; markets watch this release closely every month.
Data table
| May 2026 | 38.43 |
| Apr 2026 | 24.43 |
| Mar 2026 | 15.24 |
| Feb 2026 | 4.04 |
| Jan 2026 | 9.21 |
| Dec 2025 | 6.10 |
| Nov 2025 | 11.50 |
| Oct 2025 | 21.07 |
| Sep 2025 | 7.00 |
| Aug 2025 | -11.49 |
| Jul 2025 | -4.68 |
| Jun 2025 | 12.86 |
| May 2025 | -3.92 |
| Apr 2025 | 12.41 |
| Mar 2025 | 5.41 |
| Feb 2025 | 7.55 |
| Jan 2025 | -2.12 |
| Dec 2024 | 9.01 |
| Nov 2024 | 3.36 |
| Oct 2024 | -4.76 |
| Sep 2024 | 0.93 |
| Aug 2024 | 10.32 |
| Jul 2024 | 15.69 |
| Jun 2024 | -8.80 |
| May 2024 | -0.72 |
| Apr 2024 | -9.55 |
| Mar 2024 | -20.79 |
| Feb 2024 | -0.23 |
| Jan 2024 | 16.66 |
| Dec 2023 | -1.50 |
| Nov 2023 | 0.99 |
| Oct 2023 | -3.53 |
| Sep 2023 | -15.24 |
| Aug 2023 | -22.56 |
| Jul 2023 | -20.32 |
| Jun 2023 | -15.67 |
| May 2023 | -14.78 |
| Apr 2023 | -9.83 |
| Mar 2023 | -8.22 |
| Feb 2023 | -15.77 |
Source: SingStat Table Builder (M451301)
Industrial production (monthly) (% vs year ago)
Total Singapore manufacturing output versus the same month a year earlier (the table is already a year-on-year growth series, 2025 base).
Data table
| May 2026 | 13.00 |
| Apr 2026 | 16.50 |
| Mar 2026 | 7.80 |
| Feb 2026 | 6.80 |
| Jan 2026 | 9.30 |
| Dec 2025 | 10.90 |
| Nov 2025 | 8.20 |
| Oct 2025 | 15.00 |
| Sep 2025 | 6.00 |
| Aug 2025 | -4.90 |
| Jul 2025 | 12.80 |
| Jun 2025 | 14.10 |
| May 2025 | 8.10 |
| Apr 2025 | 9.20 |
| Mar 2025 | 11.10 |
| Feb 2025 | 4.20 |
| Jan 2025 | 10.20 |
| Dec 2024 | 5.00 |
| Nov 2024 | 10.80 |
| Oct 2024 | 1.20 |
| Sep 2024 | 9.20 |
| Aug 2024 | 22.80 |
| Jul 2024 | 3.00 |
| Jun 2024 | -3.30 |
| May 2024 | 2.80 |
| Apr 2024 | -1.10 |
| Mar 2024 | -8.50 |
| Feb 2024 | 5.00 |
| Jan 2024 | 1.30 |
| Dec 2023 | -1.60 |
| Nov 2023 | 0.10 |
| Oct 2023 | 6.80 |
| Sep 2023 | -1.20 |
| Aug 2023 | -12.90 |
| Jul 2023 | -0.50 |
| Jun 2023 | -6.80 |
| May 2023 | -10.90 |
| Apr 2023 | -7.10 |
| Mar 2023 | -4.20 |
| Feb 2023 | -9.40 |
Source: SingStat Table Builder (M355411)
Electronics output (monthly) (% vs year ago)
Output of the computer, electronic and optical products cluster — semiconductors and electronics, Singapore's biggest manufacturing engine and a bellwether for the regional chip cycle that moves many SGX tech-linked counters.
Data table
| May 2026 | 33.60 |
| Apr 2026 | 37.10 |
| Mar 2026 | 24.00 |
| Feb 2026 | 29.10 |
| Jan 2026 | 22.50 |
| Dec 2025 | 19.60 |
| Nov 2025 | 14.00 |
| Oct 2025 | 23.70 |
| Sep 2025 | 16.50 |
| Aug 2025 | -4.40 |
| Jul 2025 | 18.00 |
| Jun 2025 | 14.30 |
| May 2025 | 4.30 |
| Apr 2025 | 13.30 |
| Mar 2025 | 12.70 |
| Feb 2025 | 1.80 |
| Jan 2025 | 15.40 |
| Dec 2024 | 2.20 |
| Nov 2024 | 29.20 |
| Oct 2024 | 4.50 |
| Sep 2024 | 1.90 |
| Aug 2024 | 48.40 |
| Jul 2024 | 3.40 |
| Jun 2024 | -4.90 |
| May 2024 | 17.70 |
| Apr 2024 | -0.50 |
| Mar 2024 | -10.20 |
| Feb 2024 | 4.10 |
| Jan 2024 | -2.60 |
| Dec 2023 | 6.50 |
| Nov 2023 | 4.20 |
| Oct 2023 | 11.70 |
| Sep 2023 | 11.00 |
| Aug 2023 | -19.80 |
| Jul 2023 | 6.80 |
| Jun 2023 | -2.90 |
| May 2023 | -20.90 |
| Apr 2023 | -7.90 |
| Mar 2023 | -6.30 |
| Feb 2023 | -9.40 |
Source: SingStat Table Builder (M355411)
Pharmaceuticals & biologics output (monthly) (% vs year ago)
Output of the pharmaceuticals and biological products cluster — Singapore's science-based manufacturing arm. Volatile month to month because a few large plants dominate the cluster.
Data table
| May 2026 | -41.60 |
| Apr 2026 | -33.10 |
| Mar 2026 | -17.20 |
| Feb 2026 | -14.50 |
| Jan 2026 | -40.10 |
| Dec 2025 | -40.10 |
| Nov 2025 | 62.50 |
| Oct 2025 | 55.60 |
| Sep 2025 | 15.60 |
| Aug 2025 | -39.40 |
| Jul 2025 | 42.90 |
| Jun 2025 | 102.20 |
| May 2025 | 71.00 |
| Apr 2025 | 49.80 |
| Mar 2025 | 70.40 |
| Feb 2025 | -23.00 |
| Jan 2025 | 34.50 |
| Dec 2024 | 13.70 |
| Nov 2024 | -39.10 |
| Oct 2024 | 6.90 |
| Sep 2024 | 143.50 |
| Aug 2024 | -17.00 |
| Jul 2024 | -22.50 |
| Jun 2024 | -50.30 |
| May 2024 | -70.00 |
| Apr 2024 | -59.20 |
| Mar 2024 | -54.80 |
| Feb 2024 | 68.70 |
| Jan 2024 | -45.10 |
| Dec 2023 | -45.00 |
| Nov 2023 | -8.00 |
| Oct 2023 | 5.70 |
| Sep 2023 | -43.40 |
| Aug 2023 | -11.30 |
| Jul 2023 | -45.60 |
| Jun 2023 | -19.70 |
| May 2023 | 3.30 |
| Apr 2023 | -25.00 |
| Mar 2023 | -10.10 |
| Feb 2023 | -60.80 |
Source: SingStat Table Builder (M355411)
Machinery & equipment output (monthly) (% vs year ago)
Output of the machinery and equipment cluster, which includes semiconductor manufacturing equipment — a leading indicator of chip-industry capital spending.
Data table
| May 2026 | 31.60 |
| Apr 2026 | 15.40 |
| Mar 2026 | 6.90 |
| Feb 2026 | -7.70 |
| Jan 2026 | 9.00 |
| Dec 2025 | 14.00 |
| Nov 2025 | -11.60 |
| Oct 2025 | 7.80 |
| Sep 2025 | -9.80 |
| Aug 2025 | -8.20 |
| Jul 2025 | 8.10 |
| Jun 2025 | 15.20 |
| May 2025 | 10.70 |
| Apr 2025 | -2.30 |
| Mar 2025 | 6.20 |
| Feb 2025 | 11.40 |
| Jan 2025 | -7.40 |
| Dec 2024 | 5.00 |
| Nov 2024 | 4.30 |
| Oct 2024 | -20.60 |
| Sep 2024 | 15.40 |
| Aug 2024 | 12.80 |
| Jul 2024 | 3.90 |
| Jun 2024 | 0.00 |
| May 2024 | -0.50 |
| Apr 2024 | 10.30 |
| Mar 2024 | 9.50 |
| Feb 2024 | -16.50 |
| Jan 2024 | 39.70 |
| Dec 2023 | 1.70 |
| Nov 2023 | -11.20 |
| Oct 2023 | 2.40 |
| Sep 2023 | -6.10 |
| Aug 2023 | -12.80 |
| Jul 2023 | -5.90 |
| Jun 2023 | -6.70 |
| May 2023 | -12.30 |
| Apr 2023 | 1.50 |
| Mar 2023 | -1.60 |
| Feb 2023 | 9.70 |
Source: SingStat Table Builder (M355411)
Singapore — services, tourism & consumer (monthly)
Retail sales (monthly) (% vs year ago)
Retail Sales Index (all outlets, including motor vehicles, current prices, 2025 base) versus the same month a year earlier — the headline gauge of how much households are spending in shops. Directly relevant to SGX-listed retailers, malls and consumer REITs; the number markets watch each month.
Data table
| Apr 2026 | 5.43 |
| Mar 2026 | 4.58 |
| Feb 2026 | 8.40 |
| Jan 2026 | -0.26 |
| Dec 2025 | 2.50 |
| Nov 2025 | 4.87 |
| Oct 2025 | 3.96 |
| Sep 2025 | 2.14 |
| Aug 2025 | 5.49 |
| Jul 2025 | 5.20 |
| Jun 2025 | 2.53 |
| May 2025 | 1.09 |
| Apr 2025 | 0.87 |
| Mar 2025 | 2.69 |
| Feb 2025 | -3.16 |
| Jan 2025 | 4.48 |
| Dec 2024 | -2.54 |
| Nov 2024 | -0.07 |
| Oct 2024 | 3.05 |
| Sep 2024 | 2.08 |
| Aug 2024 | 0.80 |
| Jul 2024 | 1.00 |
| Jun 2024 | -0.43 |
| May 2024 | 2.40 |
| Apr 2024 | -1.03 |
| Mar 2024 | 2.91 |
| Feb 2024 | 8.38 |
| Jan 2024 | 1.39 |
| Dec 2023 | -0.33 |
| Nov 2023 | 2.20 |
| Oct 2023 | -0.41 |
| Sep 2023 | 0.72 |
| Aug 2023 | 4.33 |
| Jul 2023 | 1.43 |
| Jun 2023 | 1.01 |
| May 2023 | 1.70 |
| Apr 2023 | 3.62 |
| Mar 2023 | 4.40 |
| Feb 2023 | 12.46 |
| Jan 2023 | -1.13 |
Source: SingStat Table Builder (M602121)
Food & beverage services (monthly) (% vs year ago)
Food & Beverage Services Index (restaurants, fast food, caterers and cafes, current prices, 2025 base) versus the same month a year earlier — a read on eating-out demand and the domestic consumer economy.
Data table
| Apr 2026 | 0.37 |
| Mar 2026 | 2.27 |
| Feb 2026 | 5.52 |
| Jan 2026 | -3.21 |
| Dec 2025 | -0.28 |
| Nov 2025 | 2.59 |
| Oct 2025 | 2.93 |
| Sep 2025 | -1.44 |
| Aug 2025 | 1.04 |
| Jul 2025 | 2.04 |
| Jun 2025 | -0.38 |
| May 2025 | 1.30 |
| Apr 2025 | 1.31 |
| Mar 2025 | -3.37 |
| Feb 2025 | -6.28 |
| Jan 2025 | 8.64 |
| Dec 2024 | 0.96 |
| Nov 2024 | 3.95 |
| Oct 2024 | 3.91 |
| Sep 2024 | 1.38 |
| Aug 2024 | 4.31 |
| Jul 2024 | 0.07 |
| Jun 2024 | 1.79 |
| May 2024 | 3.04 |
| Apr 2024 | 0.17 |
| Mar 2024 | 4.93 |
| Feb 2024 | 14.90 |
| Jan 2024 | -5.29 |
| Dec 2023 | 0.46 |
| Nov 2023 | 1.55 |
| Oct 2023 | 2.36 |
| Sep 2023 | 6.83 |
| Aug 2023 | 8.47 |
| Jul 2023 | 6.36 |
| Jun 2023 | 7.25 |
| May 2023 | 8.70 |
| Apr 2023 | 15.14 |
| Mar 2023 | 17.59 |
| Feb 2023 | 21.50 |
| Jan 2023 | 22.06 |
Source: SingStat Table Builder (M602131)
International visitor arrivals (monthly) (million visitors)
Total international visitors arriving in Singapore each month (all places of residence). The freshest read on the tourism engine behind hotels, airlines, retail, F&B and integrated resorts. Not seasonally adjusted, so compare with the same month in prior years rather than the month before.
Data table
| May 2026 | 1.24 |
| Apr 2026 | 1.33 |
| Mar 2026 | 1.43 |
| Feb 2026 | 1.50 |
| Jan 2026 | 1.50 |
| Dec 2025 | 1.36 |
| Nov 2025 | 1.29 |
| Oct 2025 | 1.38 |
| Sep 2025 | 1.25 |
| Aug 2025 | 1.61 |
| Jul 2025 | 1.68 |
| Jun 2025 | 1.25 |
| May 2025 | 1.37 |
| Apr 2025 | 1.40 |
| Mar 2025 | 1.30 |
| Feb 2025 | 1.38 |
| Jan 2025 | 1.63 |
| Dec 2024 | 1.39 |
| Nov 2024 | 1.23 |
| Oct 2024 | 1.31 |
| Sep 2024 | 1.27 |
| Aug 2024 | 1.54 |
| Jul 2024 | 1.60 |
| Jun 2024 | 1.25 |
| May 2024 | 1.28 |
| Apr 2024 | 1.34 |
| Mar 2024 | 1.46 |
| Feb 2024 | 1.42 |
| Jan 2024 | 1.42 |
| Dec 2023 | 1.23 |
| Nov 2023 | 1.10 |
| Oct 2023 | 1.13 |
| Sep 2023 | 1.13 |
| Aug 2023 | 1.31 |
| Jul 2023 | 1.42 |
| Jun 2023 | 1.13 |
| May 2023 | 1.11 |
| Apr 2023 | 1.13 |
| Mar 2023 | 1.02 |
| Feb 2023 | 0.96 |
Source: SingStat Table Builder (M550001)
Hotel occupancy rate (monthly) (% of rooms)
Average share of available hotel rooms that were occupied across the month — a demand-and-pricing-power gauge for the hospitality trade and hotel/hospitality REITs.
Data table
| May 2026 | 75.40 |
| Apr 2026 | 78.30 |
| Mar 2026 | 80.10 |
| Feb 2026 | 87.60 |
| Jan 2026 | 81.50 |
| Dec 2025 | 76.50 |
| Nov 2025 | 85.00 |
| Oct 2025 | 84.80 |
| Sep 2025 | 81.00 |
| Aug 2025 | 89.60 |
| Jul 2025 | 91.30 |
| Jun 2025 | 75.10 |
| May 2025 | 79.60 |
| Apr 2025 | 78.60 |
| Mar 2025 | 76.20 |
| Feb 2025 | 83.90 |
| Jan 2025 | 81.90 |
| Dec 2024 | 75.10 |
| Nov 2024 | 81.70 |
| Oct 2024 | 81.20 |
| Sep 2024 | 83.10 |
| Aug 2024 | 87.80 |
| Jul 2024 | 89.40 |
| Jun 2024 | 76.90 |
| May 2024 | 78.80 |
| Apr 2024 | 78.00 |
| Mar 2024 | 83.40 |
| Feb 2024 | 83.20 |
| Jan 2024 | 78.00 |
| Dec 2023 | 73.90 |
| Nov 2023 | 78.30 |
| Oct 2023 | 77.70 |
| Sep 2023 | 82.70 |
| Aug 2023 | 86.30 |
| Jul 2023 | 90.30 |
| Jun 2023 | 81.10 |
| May 2023 | 80.70 |
| Apr 2023 | 79.00 |
| Mar 2023 | 80.00 |
| Feb 2023 | 85.10 |
Source: SingStat Table Builder (M550081)
Changi air passengers (monthly) (million passengers)
Total passengers handled at Changi Airport each month (arriving, departing and in transit) — a leading indicator of travel, tourism and the air-hub economy. Not seasonally adjusted.
Data table
| May 2026 | 5.68 |
| Apr 2026 | 5.73 |
| Mar 2026 | 6.09 |
| Feb 2026 | 5.54 |
| Jan 2026 | 5.97 |
| Dec 2025 | 6.34 |
| Nov 2025 | 5.75 |
| Oct 2025 | 5.84 |
| Sep 2025 | 5.47 |
| Aug 2025 | 5.91 |
| Jul 2025 | 5.97 |
| Jun 2025 | 5.88 |
| May 2025 | 5.82 |
| Apr 2025 | 5.78 |
| Mar 2025 | 5.62 |
| Feb 2025 | 5.44 |
| Jan 2025 | 6.16 |
| Dec 2024 | 6.41 |
| Nov 2024 | 5.74 |
| Oct 2024 | 5.65 |
| Sep 2024 | 5.40 |
| Aug 2024 | 5.73 |
| Jul 2024 | 5.70 |
| Jun 2024 | 5.62 |
| May 2024 | 5.48 |
| Apr 2024 | 5.40 |
| Mar 2024 | 5.73 |
| Feb 2024 | 5.35 |
| Jan 2024 | 5.43 |
| Dec 2023 | 5.81 |
| Nov 2023 | 5.15 |
| Oct 2023 | 5.12 |
| Sep 2023 | 4.87 |
| Aug 2023 | 5.15 |
| Jul 2023 | 5.27 |
| Jun 2023 | 5.12 |
| May 2023 | 4.84 |
| Apr 2023 | 4.60 |
| Mar 2023 | 4.63 |
| Feb 2023 | 4.00 |
Source: SingStat Table Builder (M650031)
Online share of retail sales (monthly) (% of retail sales)
Share of total retail sales that was transacted online each month (SingStat) — the e-commerce penetration of retail. A structural read on how much of shopping has shifted to online channels, relevant to bricks-and-mortar retailers and logistics players alike.
Data table
| Apr 2026 | 15.40 |
| Mar 2026 | 15.60 |
| Feb 2026 | 14.10 |
| Jan 2026 | 14.10 |
| Dec 2025 | 14.80 |
| Nov 2025 | 17.00 |
| Oct 2025 | 14.50 |
| Sep 2025 | 14.90 |
| Aug 2025 | 13.00 |
| Jul 2025 | 13.00 |
| Jun 2025 | 13.40 |
| May 2025 | 12.30 |
| Apr 2025 | 12.70 |
| Mar 2025 | 13.30 |
| Feb 2025 | 12.40 |
| Jan 2025 | 11.60 |
| Dec 2024 | 13.30 |
| Nov 2024 | 14.70 |
| Oct 2024 | 12.60 |
| Sep 2024 | 13.80 |
| Aug 2024 | 12.30 |
| Jul 2024 | 12.00 |
| Jun 2024 | 12.30 |
| May 2024 | 11.80 |
| Apr 2024 | 11.80 |
| Mar 2024 | 12.10 |
| Feb 2024 | 11.00 |
| Jan 2024 | 11.10 |
| Dec 2023 | 12.80 |
| Nov 2023 | 15.00 |
| Oct 2023 | 12.80 |
| Sep 2023 | 13.70 |
| Aug 2023 | 12.30 |
| Jul 2023 | 12.60 |
| Jun 2023 | 12.60 |
| May 2023 | 11.90 |
| Apr 2023 | 11.90 |
| Mar 2023 | 13.10 |
| Feb 2023 | 12.00 |
| Jan 2023 | 11.40 |
Source: SingStat Table Builder (M602191)
Online share of F&B sales (monthly) (% of F&B sales)
Share of food & beverage sales ordered online each month (delivery and online takeaway, from SingStat) — the digital slice of the eating-out economy.
Data table
| Apr 2026 | 19.90 |
| Mar 2026 | 20.40 |
| Feb 2026 | 19.80 |
| Jan 2026 | 22.10 |
| Dec 2025 | 25.80 |
| Nov 2025 | 25.30 |
| Oct 2025 | 25.20 |
| Sep 2025 | 26.30 |
| Aug 2025 | 26.00 |
| Jul 2025 | 25.90 |
| Jun 2025 | 26.80 |
| May 2025 | 26.50 |
| Apr 2025 | 26.40 |
| Mar 2025 | 25.90 |
| Feb 2025 | 23.90 |
| Jan 2025 | 23.60 |
| Dec 2024 | 24.90 |
| Nov 2024 | 24.80 |
| Oct 2024 | 24.40 |
| Sep 2024 | 24.30 |
| Aug 2024 | 24.10 |
| Jul 2024 | 23.80 |
| Jun 2024 | 23.80 |
| May 2024 | 23.80 |
| Apr 2024 | 24.00 |
| Mar 2024 | 23.10 |
| Feb 2024 | 20.90 |
| Jan 2024 | 22.80 |
| Dec 2023 | 23.00 |
| Nov 2023 | 23.30 |
| Oct 2023 | 23.70 |
| Sep 2023 | 23.00 |
| Aug 2023 | 23.00 |
| Jul 2023 | 22.80 |
| Jun 2023 | 23.20 |
| May 2023 | 23.70 |
| Apr 2023 | 23.60 |
| Mar 2023 | 24.20 |
| Feb 2023 | 23.00 |
| Jan 2023 | 23.30 |
Source: SingStat Table Builder (M602271)
Singapore — economy by sector, property & jobs (quarterly)
Services sector output (quarterly) (% vs year ago)
Output of the services-producing industries — finance, trade, transport, infocomm, real estate and the rest — which make up about two-thirds of Singapore's economy. Year-on-year growth in current-dollar (nominal) terms, so it includes price changes.
Data table
| 2026 Q1 | 4.90 |
| 2025 Q4 | 0.90 |
| 2025 Q3 | -3.10 |
| 2025 Q2 | 1.20 |
| 2025 Q1 | 4.40 |
| 2024 Q4 | 13.70 |
| 2024 Q3 | 16.40 |
| 2024 Q2 | 9.40 |
| 2024 Q1 | 8.70 |
| 2023 Q4 | 1.90 |
| 2023 Q3 | -4.60 |
| 2023 Q2 | -7.60 |
| 2023 Q1 | -0.40 |
| 2022 Q4 | 11.80 |
| 2022 Q3 | 24.60 |
| 2022 Q2 | 31.70 |
| 2022 Q1 | 24.00 |
| 2021 Q4 | 24.10 |
| 2021 Q3 | 22.40 |
| 2021 Q2 | 27.70 |
| 2021 Q1 | 7.40 |
| 2020 Q4 | -2.10 |
| 2020 Q3 | -6.20 |
| 2020 Q2 | -10.90 |
| 2020 Q1 | 1.40 |
| 2019 Q4 | 4.20 |
| 2019 Q3 | 1.90 |
| 2019 Q2 | 2.40 |
| 2019 Q1 | 2.90 |
| 2018 Q4 | 4.40 |
| 2018 Q3 | 7.80 |
| 2018 Q2 | 6.30 |
| 2018 Q1 | 4.70 |
| 2017 Q4 | 6.40 |
| 2017 Q3 | 6.40 |
| 2017 Q2 | 7.60 |
| 2017 Q1 | 9.10 |
| 2016 Q4 | 8.20 |
| 2016 Q3 | 6.10 |
| 2016 Q2 | 6.70 |
Source: SingStat Table Builder (M015631)
Construction output (quarterly) (% vs year ago)
Output of the construction sector versus a year earlier (nominal, current-dollar). A read on the building cycle behind contractors, building-materials suppliers and property developers.
Data table
| 2026 Q1 | 13.50 |
| 2025 Q4 | 6.30 |
| 2025 Q3 | 7.60 |
| 2025 Q2 | 9.00 |
| 2025 Q1 | 6.50 |
| 2024 Q4 | 7.30 |
| 2024 Q3 | 9.30 |
| 2024 Q2 | 12.30 |
| 2024 Q1 | 10.00 |
| 2023 Q4 | 17.20 |
| 2023 Q3 | 19.70 |
| 2023 Q2 | 23.60 |
| 2023 Q1 | 22.10 |
| 2022 Q4 | 26.00 |
| 2022 Q3 | 27.10 |
| 2022 Q2 | 19.10 |
| 2022 Q1 | 25.60 |
| 2021 Q4 | 45.60 |
| 2021 Q3 | 106.50 |
| 2021 Q2 | 173.90 |
| 2021 Q1 | -6.50 |
| 2020 Q4 | -29.10 |
| 2020 Q3 | -52.80 |
| 2020 Q2 | -66.00 |
| 2020 Q1 | -9.90 |
| 2019 Q4 | -1.60 |
| 2019 Q3 | 0.20 |
| 2019 Q2 | 2.90 |
| 2019 Q1 | 3.20 |
| 2018 Q4 | 0.50 |
| 2018 Q3 | 0.70 |
| 2018 Q2 | -1.90 |
| 2018 Q1 | -2.60 |
| 2017 Q4 | -3.80 |
| 2017 Q3 | -11.00 |
| 2017 Q2 | -14.10 |
| 2017 Q1 | -7.70 |
| 2016 Q4 | -9.70 |
| 2016 Q3 | -5.50 |
| 2016 Q2 | -0.30 |
Source: SingStat Table Builder (M015631)
Wholesale & retail trade (quarterly) (% vs year ago)
Output of the wholesale and retail trade sector versus a year earlier (nominal). Singapore's largest services industry, driven by the entrepôt trade as well as domestic retail.
Data table
| 2026 Q1 | 9.20 |
| 2025 Q4 | 6.40 |
| 2025 Q3 | 0.50 |
| 2025 Q2 | -1.00 |
| 2025 Q1 | 2.20 |
| 2024 Q4 | 7.00 |
| 2024 Q3 | 4.20 |
| 2024 Q2 | 6.60 |
| 2024 Q1 | 12.80 |
| 2023 Q4 | 4.30 |
| 2023 Q3 | -7.80 |
| 2023 Q2 | -12.70 |
| 2023 Q1 | -3.20 |
| 2022 Q4 | 18.80 |
| 2022 Q3 | 33.80 |
| 2022 Q2 | 47.30 |
| 2022 Q1 | 27.50 |
| 2021 Q4 | 34.50 |
| 2021 Q3 | 28.00 |
| 2021 Q2 | 31.20 |
| 2021 Q1 | 12.40 |
| 2020 Q4 | 1.90 |
| 2020 Q3 | -1.60 |
| 2020 Q2 | -4.30 |
| 2020 Q1 | -0.70 |
| 2019 Q4 | 0.60 |
| 2019 Q3 | -1.30 |
| 2019 Q2 | 2.70 |
| 2019 Q1 | 5.60 |
| 2018 Q4 | 6.40 |
| 2018 Q3 | 15.50 |
| 2018 Q2 | 11.10 |
| 2018 Q1 | 1.20 |
| 2017 Q4 | 3.50 |
| 2017 Q3 | 5.40 |
| 2017 Q2 | 11.10 |
| 2017 Q1 | 26.10 |
| 2016 Q4 | 21.50 |
| 2016 Q3 | 14.20 |
| 2016 Q2 | 10.90 |
Source: SingStat Table Builder (M015631)
Finance & insurance output (quarterly) (% vs year ago)
Output of the finance and insurance sector versus a year earlier (nominal) — the industry behind the three local banks and much of the STI's weight.
Data table
| 2026 Q1 | 5.80 |
| 2025 Q4 | 4.10 |
| 2025 Q3 | 5.20 |
| 2025 Q2 | 4.70 |
| 2025 Q1 | 5.60 |
| 2024 Q4 | 9.70 |
| 2024 Q3 | 6.40 |
| 2024 Q2 | 9.10 |
| 2024 Q1 | 7.00 |
| 2023 Q4 | 9.30 |
| 2023 Q3 | 9.90 |
| 2023 Q2 | 8.20 |
| 2023 Q1 | 20.10 |
| 2022 Q4 | 9.50 |
| 2022 Q3 | 10.40 |
| 2022 Q2 | 10.50 |
| 2022 Q1 | 8.40 |
| 2021 Q4 | 8.10 |
| 2021 Q3 | 12.20 |
| 2021 Q2 | 13.40 |
| 2021 Q1 | 2.30 |
| 2020 Q4 | 1.00 |
| 2020 Q3 | -1.50 |
| 2020 Q2 | -2.00 |
| 2020 Q1 | 8.50 |
| 2019 Q4 | 10.60 |
| 2019 Q3 | 8.00 |
| 2019 Q2 | 6.80 |
| 2019 Q1 | 6.40 |
| 2018 Q4 | 7.90 |
| 2018 Q3 | 9.90 |
| 2018 Q2 | 11.20 |
| 2018 Q1 | 13.50 |
| 2017 Q4 | 11.30 |
| 2017 Q3 | 11.30 |
| 2017 Q2 | 10.30 |
| 2017 Q1 | 4.90 |
| 2016 Q4 | 4.00 |
| 2016 Q3 | 2.70 |
| 2016 Q2 | 4.60 |
Source: SingStat Table Builder (M015631)
Information & communications (quarterly) (% vs year ago)
Output of the information and communications sector versus a year earlier (nominal) — telecoms, software, data and media.
Data table
| 2026 Q1 | 6.10 |
| 2025 Q4 | 8.60 |
| 2025 Q3 | 9.70 |
| 2025 Q2 | 9.80 |
| 2025 Q1 | 11.60 |
| 2024 Q4 | 17.50 |
| 2024 Q3 | 16.90 |
| 2024 Q2 | 18.00 |
| 2024 Q1 | 16.00 |
| 2023 Q4 | 18.80 |
| 2023 Q3 | 16.70 |
| 2023 Q2 | 10.50 |
| 2023 Q1 | 8.20 |
| 2022 Q4 | 3.10 |
| 2022 Q3 | 4.20 |
| 2022 Q2 | 4.90 |
| 2022 Q1 | 6.80 |
| 2021 Q4 | 12.20 |
| 2021 Q3 | 15.50 |
| 2021 Q2 | 22.60 |
| 2021 Q1 | 17.20 |
| 2020 Q4 | 20.10 |
| 2020 Q3 | 15.60 |
| 2020 Q2 | 10.50 |
| 2020 Q1 | 16.50 |
| 2019 Q4 | 14.80 |
| 2019 Q3 | 14.90 |
| 2019 Q2 | 12.80 |
| 2019 Q1 | 12.20 |
| 2018 Q4 | 12.00 |
| 2018 Q3 | 7.40 |
| 2018 Q2 | 4.40 |
| 2018 Q1 | 0.70 |
| 2017 Q4 | 2.60 |
| 2017 Q3 | 2.70 |
| 2017 Q2 | 2.10 |
| 2017 Q1 | 7.20 |
| 2016 Q4 | 10.10 |
| 2016 Q3 | 12.20 |
| 2016 Q2 | 13.90 |
Source: SingStat Table Builder (M015631)
Transportation & storage (quarterly) (% vs year ago)
Output of the transportation and storage sector versus a year earlier (nominal) — sea and air freight, logistics and land transport, a barometer of trade and travel flows.
Data table
| 2026 Q1 | -9.90 |
| 2025 Q4 | -29.80 |
| 2025 Q3 | -36.00 |
| 2025 Q2 | -15.70 |
| 2025 Q1 | 2.70 |
| 2024 Q4 | 59.90 |
| 2024 Q3 | 92.20 |
| 2024 Q2 | 19.80 |
| 2024 Q1 | 5.00 |
| 2023 Q4 | -24.00 |
| 2023 Q3 | -38.20 |
| 2023 Q2 | -39.90 |
| 2023 Q1 | -34.10 |
| 2022 Q4 | 2.20 |
| 2022 Q3 | 55.20 |
| 2022 Q2 | 88.20 |
| 2022 Q1 | 96.50 |
| 2021 Q4 | 91.90 |
| 2021 Q3 | 82.60 |
| 2021 Q2 | 90.20 |
| 2021 Q1 | 48.10 |
| 2020 Q4 | -1.90 |
| 2020 Q3 | -3.20 |
| 2020 Q2 | -16.60 |
| 2020 Q1 | 1.40 |
| 2019 Q4 | 7.80 |
| 2019 Q3 | -0.40 |
| 2019 Q2 | 1.30 |
| 2019 Q1 | -3.50 |
| 2018 Q4 | -4.10 |
| 2018 Q3 | -2.60 |
| 2018 Q2 | -6.60 |
| 2018 Q1 | 0.00 |
| 2017 Q4 | 14.50 |
| 2017 Q3 | 19.60 |
| 2017 Q2 | 16.60 |
| 2017 Q1 | 8.30 |
| 2016 Q4 | -2.40 |
| 2016 Q3 | -7.80 |
| 2016 Q2 | -5.30 |
Source: SingStat Table Builder (M015631)
Private home prices (quarterly) (% vs year ago)
Private Residential Property Price Index (all types; 2009 Q1 base) versus a year earlier — the headline gauge of private home prices, and a key driver of developer earnings and residential REIT/property valuations.
Data table
| 2026 Q1 | 3.41 |
| 2025 Q4 | 3.34 |
| 2025 Q3 | 5.08 |
| 2025 Q2 | 3.44 |
| 2025 Q1 | 3.33 |
| 2024 Q4 | 3.92 |
| 2024 Q3 | 4.44 |
| 2024 Q2 | 6.02 |
| 2024 Q1 | 4.88 |
| 2023 Q4 | 6.84 |
| 2023 Q3 | 4.37 |
| 2023 Q2 | 7.46 |
| 2023 Q1 | 11.44 |
| 2022 Q4 | 8.64 |
| 2022 Q3 | 13.61 |
| 2022 Q2 | 10.64 |
| 2022 Q1 | 7.77 |
| 2021 Q4 | 10.57 |
| 2021 Q3 | 7.48 |
| 2021 Q2 | 7.14 |
| 2021 Q1 | 6.64 |
| 2020 Q4 | 2.21 |
| 2020 Q3 | 0.65 |
| 2020 Q2 | 1.19 |
| 2020 Q1 | 2.36 |
| 2019 Q4 | 2.67 |
| 2019 Q3 | 2.07 |
| 2019 Q2 | 1.21 |
| 2019 Q1 | 3.12 |
| 2018 Q4 | 7.86 |
| 2018 Q3 | 8.79 |
| 2018 Q2 | 9.08 |
| 2018 Q1 | 5.41 |
| 2017 Q4 | 1.09 |
| 2017 Q3 | -0.22 |
| 2017 Q2 | -2.43 |
| 2017 Q1 | -2.77 |
| 2016 Q4 | -3.11 |
| 2016 Q3 | -3.09 |
| 2016 Q2 | -2.91 |
Source: SingStat Table Builder (M212261)
Private home rents (quarterly) (% vs year ago)
Rental Index of Private Residential Properties (all types; 2009 Q1 base) versus a year earlier — the rental counterpart to the home-price index, and a direct driver of residential landlord and REIT income.
Data table
| 2026 Q1 | 1.83 |
| 2025 Q4 | 1.90 |
| 2025 Q3 | 2.41 |
| 2025 Q2 | 2.04 |
| 2025 Q1 | 0.38 |
| 2024 Q4 | -1.93 |
| 2024 Q3 | -4.01 |
| 2024 Q2 | -4.04 |
| 2024 Q1 | -0.57 |
| 2023 Q4 | 8.71 |
| 2023 Q3 | 19.29 |
| 2023 Q2 | 28.50 |
| 2023 Q1 | 33.45 |
| 2022 Q4 | 29.68 |
| 2022 Q3 | 23.90 |
| 2022 Q2 | 16.19 |
| 2022 Q1 | 12.05 |
| 2021 Q4 | 9.91 |
| 2021 Q3 | 7.23 |
| 2021 Q2 | 4.79 |
| 2021 Q1 | 0.57 |
| 2020 Q4 | -0.57 |
| 2020 Q3 | -1.70 |
| 2020 Q2 | -1.14 |
| 2020 Q1 | 1.44 |
| 2019 Q4 | 1.36 |
| 2019 Q3 | 1.44 |
| 2019 Q2 | 1.64 |
| 2019 Q1 | 1.26 |
| 2018 Q4 | 0.59 |
| 2018 Q3 | 0.68 |
| 2018 Q2 | 0.39 |
| 2018 Q1 | -0.77 |
| 2017 Q4 | -1.91 |
| 2017 Q3 | -2.08 |
| 2017 Q2 | -3.27 |
| 2017 Q1 | -3.63 |
| 2016 Q4 | -4.04 |
| 2016 Q3 | -4.26 |
| 2016 Q2 | -3.69 |
Source: SingStat Table Builder (M212311)
Total employment change (quarterly) ('000 net change)
Net change in total employment over the quarter (residents plus foreign workers), in thousands of jobs. Positive means the economy added jobs; a run of negative quarters signals a cooling labour market. Includes the foreign workforce, which fills much of construction and services hiring.
Data table
| 2026 Q1 | 13.00 |
| 2025 Q4 | 20.80 |
| 2025 Q3 | 30.20 |
| 2025 Q2 | 12.90 |
| 2025 Q1 | 6.90 |
| 2024 Q4 | 11.90 |
| 2024 Q3 | 24.90 |
| 2024 Q2 | 14.90 |
| 2024 Q1 | 8.10 |
| 2023 Q4 | 8.00 |
| 2023 Q3 | 25.40 |
| 2023 Q2 | 24.10 |
| 2023 Q1 | 39.10 |
| 2022 Q4 | 51.10 |
| 2022 Q3 | 86.40 |
| 2022 Q2 | 71.70 |
| 2022 Q1 | 51.10 |
| 2021 Q4 | 53.50 |
| 2021 Q3 | -13.20 |
| 2021 Q2 | -24.80 |
| 2021 Q1 | 10.70 |
| 2020 Q4 | -7.80 |
| 2020 Q3 | -34.40 |
| 2020 Q2 | -113.50 |
| 2020 Q1 | -25.40 |
| 2019 Q4 | 21.60 |
| 2019 Q3 | 27.50 |
| 2019 Q2 | 6.80 |
| 2019 Q1 | 13.60 |
| 2018 Q4 | 15.90 |
| 2018 Q3 | 19.30 |
| 2018 Q2 | 6.50 |
| 2018 Q1 | 3.70 |
| 2017 Q4 | 12.70 |
| 2017 Q3 | -2.30 |
| 2017 Q2 | -7.30 |
| 2017 Q1 | -6.80 |
| 2016 Q4 | 2.60 |
| 2016 Q3 | -2.70 |
| 2016 Q2 | 4.20 |
Source: SingStat Table Builder (M183891)
Singapore — money, credit & business sentiment
Money supply M2 (monthly) (% vs year ago)
Broad money supply (M2 — currency, demand and quasi-money deposits, from MAS via SingStat) versus a year earlier. A gauge of how much money is circulating in the economy; rapid swings can flag changing liquidity and credit conditions.
Data table
| May 2026 | 4.15 |
| Apr 2026 | 5.46 |
| Mar 2026 | 5.55 |
| Feb 2026 | 5.14 |
| Jan 2026 | 5.09 |
| Dec 2025 | 6.21 |
| Nov 2025 | 5.68 |
| Oct 2025 | 7.06 |
| Sep 2025 | 8.51 |
| Aug 2025 | 9.51 |
| Jul 2025 | 9.24 |
| Jun 2025 | 7.85 |
| May 2025 | 7.29 |
| Apr 2025 | 6.39 |
| Mar 2025 | 5.92 |
| Feb 2025 | 6.35 |
| Jan 2025 | 5.98 |
| Dec 2024 | 6.02 |
| Nov 2024 | 5.51 |
| Oct 2024 | 4.58 |
| Sep 2024 | 2.99 |
| Aug 2024 | 1.28 |
| Jul 2024 | 1.68 |
| Jun 2024 | 1.47 |
| May 2024 | 1.99 |
| Apr 2024 | 3.15 |
| Mar 2024 | 3.08 |
| Feb 2024 | 4.02 |
| Jan 2024 | 5.31 |
| Dec 2023 | 4.65 |
| Nov 2023 | 5.28 |
| Oct 2023 | 4.99 |
| Sep 2023 | 4.20 |
| Aug 2023 | 4.23 |
| Jul 2023 | 3.14 |
| Jun 2023 | 3.24 |
| May 2023 | 3.10 |
| Apr 2023 | 1.85 |
| Mar 2023 | 2.43 |
| Feb 2023 | 2.39 |
Source: SingStat Table Builder (M701121)
Bank lending to private sector (monthly) (% vs year ago)
Domestic credit extended to the private sector (businesses and households, from the MAS monetary survey via SingStat) versus a year earlier. A read on borrowing appetite and bank loan growth — relevant to the local banks' top line and to property demand.
Data table
| May 2026 | 9.58 |
| Apr 2026 | 8.34 |
| Mar 2026 | 7.93 |
| Feb 2026 | 7.49 |
| Jan 2026 | 7.29 |
| Dec 2025 | 7.09 |
| Nov 2025 | 6.55 |
| Oct 2025 | 5.21 |
| Sep 2025 | 5.05 |
| Aug 2025 | 5.30 |
| Jul 2025 | 5.67 |
| Jun 2025 | 5.61 |
| May 2025 | 5.07 |
| Apr 2025 | 5.87 |
| Mar 2025 | 5.97 |
| Feb 2025 | 6.00 |
| Jan 2025 | 5.86 |
| Dec 2024 | 5.57 |
| Nov 2024 | 5.52 |
| Oct 2024 | 4.96 |
| Sep 2024 | 4.98 |
| Aug 2024 | 4.24 |
| Jul 2024 | 3.63 |
| Jun 2024 | 1.70 |
| May 2024 | 1.42 |
| Apr 2024 | 2.12 |
| Mar 2024 | 1.64 |
| Feb 2024 | 0.47 |
| Jan 2024 | -0.02 |
| Dec 2023 | 0.04 |
| Nov 2023 | -0.65 |
| Oct 2023 | -0.73 |
| Sep 2023 | -1.44 |
| Aug 2023 | -1.19 |
| Jul 2023 | -1.26 |
| Jun 2023 | -0.42 |
| May 2023 | 0.31 |
| Apr 2023 | -1.36 |
| Mar 2023 | 0.99 |
| Feb 2023 | 2.06 |
Source: SingStat Table Builder (M701121)
Manufacturing business expectations (quarterly) (net % balance)
Net weighted balance of manufacturers expecting business to improve versus worsen over the next six months (SingStat survey) — a PMI-style confidence gauge. Positive means optimists outnumber pessimists; it crosses zero at turning points and tends to lead the hard output data.
Data table
| 2026 Q1 | 17.00 |
| 2025 Q4 | 11.00 |
| 2025 Q3 | 8.00 |
| 2025 Q2 | 5.00 |
| 2025 Q1 | -6.00 |
| 2024 Q4 | 16.00 |
| 2024 Q3 | 10.00 |
| 2024 Q2 | 23.00 |
| 2024 Q1 | 22.00 |
| 2023 Q4 | 10.00 |
| 2023 Q3 | 7.00 |
| 2023 Q2 | 6.00 |
| 2023 Q1 | 2.00 |
| 2022 Q4 | -25.00 |
| 2022 Q3 | -20.00 |
| 2022 Q2 | -8.00 |
| 2022 Q1 | 2.00 |
| 2021 Q4 | 8.00 |
| 2021 Q3 | 16.00 |
| 2021 Q2 | 20.00 |
| 2021 Q1 | 38.00 |
| 2020 Q4 | 32.00 |
| 2020 Q3 | -3.00 |
| 2020 Q2 | -7.00 |
| 2020 Q1 | -56.00 |
| 2019 Q4 | 12.00 |
| 2019 Q3 | -5.00 |
| 2019 Q2 | -11.00 |
| 2019 Q1 | 1.00 |
| 2018 Q4 | -14.00 |
| 2018 Q3 | -1.00 |
| 2018 Q2 | 7.00 |
| 2018 Q1 | 13.00 |
| 2017 Q4 | 1.00 |
| 2017 Q3 | 5.00 |
| 2017 Q2 | 4.00 |
| 2017 Q1 | 7.00 |
| 2016 Q4 | 2.00 |
| 2016 Q3 | 4.00 |
| 2016 Q2 | -1.00 |
Source: SingStat Table Builder (M250141)
Services business outlook (quarterly) (net % balance)
Net weighted balance of services firms expecting a better versus worse general business outlook over the next six months (SingStat survey). The services-sector counterpart to the manufacturing gauge above; positive = net optimism.
Data table
| 2026 Q1 | -4.00 |
| 2025 Q4 | 4.00 |
| 2025 Q3 | 10.00 |
| 2025 Q2 | 2.00 |
| 2025 Q1 | -17.00 |
| 2024 Q4 | 7.00 |
| 2024 Q3 | 13.00 |
| 2024 Q2 | 13.00 |
| 2024 Q1 | 7.00 |
| 2023 Q4 | 5.00 |
| 2023 Q3 | 9.00 |
| 2023 Q2 | 8.00 |
| 2023 Q1 | 4.00 |
| 2022 Q4 | 3.00 |
| 2022 Q3 | 9.00 |
| 2022 Q2 | 15.00 |
| 2022 Q1 | 15.00 |
| 2021 Q4 | 14.00 |
| 2021 Q3 | 19.00 |
| 2021 Q2 | 11.00 |
| 2021 Q1 | 11.00 |
| 2020 Q4 | 7.00 |
| 2020 Q3 | -5.00 |
| 2020 Q2 | -31.00 |
| 2020 Q1 | -58.00 |
| 2019 Q4 | -2.00 |
| 2019 Q3 | 1.00 |
| 2019 Q2 | 2.00 |
| 2019 Q1 | 4.00 |
| 2018 Q4 | -4.00 |
| 2018 Q3 | 3.00 |
| 2018 Q2 | 9.00 |
| 2018 Q1 | 8.00 |
| 2017 Q4 | 3.00 |
| 2017 Q3 | 9.00 |
| 2017 Q2 | 5.00 |
| 2017 Q1 | -1.00 |
| 2016 Q4 | -14.00 |
| 2016 Q3 | -8.00 |
| 2016 Q2 | -6.00 |
Source: SingStat Table Builder (M250431)
Singapore — jobs & workforce (annual)
Resident unemployment rate (annual) (%)
Average annual unemployment rate for residents (Singapore citizens and permanent residents) aged 15 and over — the resident cut MOM headlines, alongside the overall quarterly rate shown higher up. Low and stable supports consumer spending; a rising trend is an early recession signal.
Data table
| 2025 | 2.80 |
| 2024 | 2.70 |
| 2023 | 2.70 |
| 2022 | 2.90 |
| 2021 | 3.60 |
| 2020 | 4.10 |
| 2019 | 3.20 |
| 2018 | 2.90 |
| 2017 | 3.10 |
| 2016 | 3.00 |
| 2015 | 2.80 |
| 2014 | 2.80 |
| 2013 | 2.80 |
| 2012 | 2.80 |
| 2011 | 2.90 |
| 2010 | 3.10 |
| 2009 | 4.30 |
| 2008 | 3.30 |
| 2007 | 2.90 |
| 2006 | 3.60 |
| 2005 | 4.10 |
| 2004 | 4.50 |
| 2003 | 5.30 |
| 2002 | 4.80 |
| 2001 | 3.70 |
| 2000 | 3.60 |
| 1999 | 3.80 |
| 1998 | 3.50 |
| 1997 | 2.00 |
| 1996 | 2.10 |
| 1995 | 2.20 |
| 1994 | 2.20 |
| 1993 | 2.10 |
| 1992 | 2.20 |
Source: SingStat Table Builder (M183401)
Long-term unemployment rate (annual) (%)
Share of the resident labour force unemployed for 25 weeks or more — a gauge of labour-market distress and structural, rather than frictional, joblessness. Runs well below the headline rate and climbs when downturns become entrenched.
Data table
| 2024 | 0.80 |
| 2023 | 0.70 |
| 2022 | 0.70 |
| 2021 | 1.00 |
| 2020 | 1.00 |
| 2019 | 0.70 |
| 2018 | 0.70 |
| 2017 | 0.80 |
| 2016 | 0.80 |
| 2015 | 0.60 |
| 2014 | 0.50 |
| 2013 | 0.60 |
| 2012 | 0.60 |
| 2011 | 0.60 |
| 2010 | 0.70 |
| 2009 | 0.90 |
| 2008 | 0.50 |
| 2007 | 0.50 |
| 2006 | 0.70 |
| 2005 | 1.00 |
| 2004 | 1.30 |
| 2003 | 1.40 |
| 2002 | 1.40 |
| 2001 | 0.90 |
| 1999 | 1.20 |
| 1998 | 0.80 |
| 1997 | 0.40 |
| 1996 | 0.40 |
| 1995 | 0.30 |
| 1994 | 0.30 |
| 1993 | 0.30 |
| 1992 | 0.30 |
Source: SingStat Table Builder (M184151)
Resident employment (annual) ('000 persons)
Employed residents aged 15 and over across all industries (Singapore citizens and permanent residents), as at June each year — the local half of the workforce. Compare with the total foreign workforce below; note the local figure is a June snapshot while the foreign figures are December.
Data table
| 2025 | 2376.40 |
| 2024 | 2365.60 |
| 2023 | 2352.30 |
| 2022 | 2350.40 |
| 2021 | 2286.50 |
| 2020 | 2222.60 |
| 2019 | 2230.40 |
| 2018 | 2203.70 |
| 2017 | 2175.30 |
| 2016 | 2165.30 |
| 2015 | 2147.80 |
| 2014 | 2103.50 |
| 2013 | 2056.10 |
| 2012 | 2040.60 |
| 2011 | 1998.90 |
| 2010 | 1962.90 |
| 2009 | 1869.40 |
| 2008 | 1852.00 |
| 2007 | 1803.20 |
| 2006 | 1796.70 |
| 2005 | 1647.30 |
| 2004 | 1632.10 |
| 2003 | 1605.40 |
| 2002 | 1573.70 |
| 2001 | 1582.50 |
| 2000 | 1482.60 |
Source: SingStat Table Builder (M182131)
Total foreign workforce (annual) ('000 persons)
Total number of foreign workers holding a valid work pass in Singapore as at December (MOM). The foreign half of the workforce — compare with resident employment above. Includes migrant domestic workers.
Data table
| 2025 | 1635.70 |
| 2024 | 1576.50 |
| 2023 | 1525.50 |
| 2022 | 1424.20 |
| 2021 | 1200.40 |
| 2020 | 1231.50 |
Source: MOM Foreign Workforce Numbers (mom.gov.sg)
Work Permit holders (annual) ('000 persons)
Foreign workers on a Work Permit as at December (MOM) — the largest pass category, concentrated in construction, marine, process, manufacturing, services and migrant domestic work. Lower-wage, sector-quota-controlled roles.
Data table
| 2025 | 1222.70 |
| 2024 | 1165.90 |
| 2023 | 1113.00 |
| 2022 | 1033.50 |
| 2021 | 849.70 |
| 2020 | 848.20 |
Source: MOM Foreign Workforce Numbers (mom.gov.sg)
S Pass holders (annual) ('000 persons)
Mid-skilled foreign workers on an S Pass as at December (MOM), subject to a qualifying salary and firm-level quota.
Data table
| 2025 | 178.90 |
| 2024 | 178.20 |
| 2023 | 178.50 |
| 2022 | 177.90 |
| 2021 | 161.80 |
| 2020 | 174.00 |
Source: MOM Foreign Workforce Numbers (mom.gov.sg)
Employment Pass holders (annual) ('000 persons)
Higher-skilled foreign professionals, managers and executives on an Employment Pass as at December (MOM) — no quota, but a rising qualifying-salary bar.
Data table
| 2025 | 203.30 |
| 2024 | 202.10 |
| 2023 | 205.40 |
| 2022 | 187.30 |
| 2021 | 161.70 |
| 2020 | 177.10 |
Source: MOM Foreign Workforce Numbers (mom.gov.sg)
Growth & income
Real GDP growth (% per year)
How much the economy grew after stripping out inflation. Positive and steady is healthy; two negative quarters in a row is the informal definition of a recession. Years marked F are IMF projections.
Data table
| 2031 F | 2.50 |
| 2030 F | 2.51 |
| 2029 F | 2.49 |
| 2028 F | 2.52 |
| 2027 F | 2.67 |
| 2026 F | 3.51 |
| 2025 | 5.02 |
| 2024 | 5.34 |
| 2023 | 1.45 |
| 2022 | 4.01 |
| 2021 | 10.14 |
| 2020 | -3.61 |
| 2019 | 1.16 |
| 2018 | 3.19 |
| 2017 | 4.33 |
| 2016 | 3.91 |
| 2015 | 2.98 |
| 2014 | 3.94 |
| 2013 | 4.82 |
| 2012 | 4.44 |
| 2011 | 6.21 |
| 2010 | 14.52 |
| 2009 | 0.13 |
| 2008 | 1.86 |
| 2007 | 9.02 |
| 2006 | 9.01 |
| 2005 | 7.37 |
| 2004 | 9.94 |
| 2003 | 4.55 |
| 2002 | 3.92 |
| 2001 | -1.07 |
| 2000 | 9.04 |
| 1999 | 5.72 |
| 1998 | -2.19 |
| 1997 | 8.32 |
| 1996 | 7.47 |
| 1995 | 7.18 |
| 1994 | 11.10 |
| 1993 | 11.46 |
| 1992 | 6.64 |
Source: IMF WEO, current vintage (api.imf.org)
GDP, current prices (US$ billions)
The total size of the economy in US dollars — useful for comparing how big two countries' economies are.
Data table
| 2031 F | 822.67 |
| 2030 F | 787.73 |
| 2029 F | 754.19 |
| 2028 F | 722.23 |
| 2027 F | 691.37 |
| 2026 F | 659.57 |
| 2025 | 603.87 |
| 2024 | 572.88 |
| 2023 | 511.18 |
| 2022 | 514.25 |
| 2021 | 441.11 |
| 2020 | 351.23 |
| 2019 | 376.83 |
| 2018 | 377.98 |
| 2017 | 344.80 |
| 2016 | 320.76 |
| 2015 | 308.00 |
| 2014 | 314.86 |
| 2013 | 307.58 |
| 2012 | 295.09 |
| 2011 | 279.36 |
| 2010 | 239.81 |
| 2009 | 194.15 |
| 2008 | 193.62 |
| 2007 | 180.94 |
| 2006 | 148.63 |
| 2005 | 127.81 |
| 2004 | 115.03 |
| 2003 | 97.65 |
| 2002 | 92.54 |
| 2001 | 89.79 |
| 2000 | 96.08 |
| 1999 | 86.29 |
| 1998 | 85.73 |
| 1997 | 100.12 |
| 1996 | 96.29 |
| 1995 | 87.81 |
| 1994 | 73.69 |
| 1993 | 60.60 |
| 1992 | 52.13 |
Source: IMF WEO, current vintage (api.imf.org)
GDP per person (US$)
Economic output divided by population — a rough proxy for average income and living standards, and for how rich a market a country is for the companies selling into it.
Data table
| 2031 F | 129244.32 |
| 2030 F | 124762.54 |
| 2029 F | 120382.96 |
| 2028 F | 116099.16 |
| 2027 F | 112064.81 |
| 2026 F | 107758.03 |
| 2025 | 99365.29 |
| 2024 | 94896.54 |
| 2023 | 86382.61 |
| 2022 | 91227.72 |
| 2021 | 80884.84 |
| 2020 | 61772.52 |
| 2019 | 66068.68 |
| 2018 | 67032.84 |
| 2017 | 61436.13 |
| 2016 | 57204.02 |
| 2015 | 55645.61 |
| 2014 | 57564.80 |
| 2013 | 56967.43 |
| 2012 | 55547.55 |
| 2011 | 53891.46 |
| 2010 | 47236.67 |
| 2009 | 38926.81 |
| 2008 | 40008.58 |
| 2007 | 39432.89 |
| 2006 | 33768.45 |
| 2005 | 29961.31 |
| 2004 | 27608.07 |
| 2003 | 23730.38 |
| 2002 | 22159.83 |
| 2001 | 21699.75 |
| 2000 | 23852.83 |
| 1999 | 21796.64 |
| 1998 | 21829.28 |
| 1997 | 26375.87 |
| 1996 | 26232.87 |
| 1995 | 24914.85 |
| 1994 | 21552.41 |
| 1993 | 18290.13 |
| 1992 | 16136.24 |
Source: IMF WEO, current vintage (api.imf.org)
Prices
Inflation (average CPI) (% per year)
How fast consumer prices rose on average over the year. Central banks typically aim for roughly 2%. High inflation erodes spending power and usually brings higher interest rates, which tend to weigh on stock valuations; deflation (negative) signals weak demand.
Data table
| 2031 F | 1.97 |
| 2030 F | 1.97 |
| 2029 F | 1.97 |
| 2028 F | 1.97 |
| 2027 F | 1.87 |
| 2026 F | 2.30 |
| 2025 | 0.90 |
| 2024 | 2.39 |
| 2023 | 4.83 |
| 2022 | 6.13 |
| 2021 | 2.32 |
| 2020 | -0.17 |
| 2019 | 0.57 |
| 2018 | 0.44 |
| 2017 | 0.58 |
| 2016 | -0.53 |
| 2015 | -0.52 |
| 2014 | 1.03 |
| 2013 | 2.36 |
| 2012 | 4.58 |
| 2011 | 5.25 |
| 2010 | 2.83 |
| 2009 | 0.59 |
| 2008 | 6.64 |
| 2007 | 2.11 |
| 2006 | 0.97 |
| 2005 | 0.47 |
| 2004 | 1.67 |
| 2003 | 0.49 |
| 2002 | -0.39 |
| 2001 | 1.01 |
| 2000 | 1.35 |
| 1999 | 0.02 |
| 1998 | -0.27 |
| 1997 | 2.02 |
| 1996 | 1.38 |
| 1995 | 1.72 |
| 1994 | 3.10 |
| 1993 | 2.29 |
| 1992 | 2.24 |
Source: IMF WEO, current vintage (api.imf.org)
Labour
Unemployment rate (% of labour force)
The share of people who want work but can't find it. Low and stable supports consumer spending; a rising trend is an early recession signal. Not all countries report this to the IMF.
Data table
| 2031 F | 2.10 |
| 2030 F | 2.10 |
| 2029 F | 2.10 |
| 2028 F | 2.10 |
| 2027 F | 1.98 |
| 2026 F | 1.98 |
| 2025 | 1.98 |
| 2024 | 1.95 |
| 2023 | 1.93 |
| 2022 | 2.10 |
| 2021 | 2.65 |
| 2020 | 3.00 |
| 2019 | 2.25 |
| 2018 | 2.10 |
| 2017 | 2.18 |
| 2016 | 2.08 |
| 2015 | 1.90 |
| 2014 | 1.95 |
| 2013 | 1.90 |
| 2012 | 1.95 |
| 2011 | 2.03 |
| 2010 | 2.18 |
| 2009 | 3.03 |
| 2008 | 2.23 |
| 2007 | 2.13 |
| 2006 | 2.65 |
| 2005 | 3.13 |
| 2004 | 3.35 |
| 2003 | 3.95 |
| 2002 | 3.55 |
| 2001 | 2.65 |
| 2000 | 2.68 |
| 1999 | 2.80 |
| 1998 | 2.50 |
| 1997 | 1.43 |
| 1996 | 1.65 |
| 1995 | 1.75 |
| 1994 | 1.73 |
| 1993 | 1.70 |
| 1992 | 1.80 |
Source: IMF WEO, current vintage (api.imf.org)
External balance & trade
Current account balance (% of GDP)
Roughly, exports minus imports (plus overseas income). A surplus (positive) means the country earns more from abroad than it spends — Singapore runs a large surplus; persistent deficits can pressure a country's currency.
Data table
| 2031 F | 16.32 |
| 2030 F | 16.28 |
| 2029 F | 16.36 |
| 2028 F | 16.54 |
| 2027 F | 16.54 |
| 2026 F | 16.57 |
| 2025 | 16.71 |
| 2024 | 17.20 |
| 2023 | 16.39 |
| 2022 | 18.92 |
| 2021 | 19.25 |
| 2020 | 17.70 |
| 2019 | 15.45 |
| 2018 | 15.68 |
| 2017 | 18.49 |
| 2016 | 18.03 |
| 2015 | 18.69 |
| 2014 | 17.95 |
| 2013 | 15.71 |
| 2012 | 17.64 |
| 2011 | 22.22 |
| 2010 | 22.93 |
| 2009 | 16.39 |
| 2008 | 15.08 |
| 2007 | 27.14 |
| 2006 | 26.89 |
| 2005 | 23.26 |
| 2004 | 19.31 |
| 2003 | 24.30 |
| 2002 | 14.88 |
| 2001 | 14.43 |
| 2000 | 11.07 |
| 1999 | 17.20 |
| 1998 | 21.79 |
| 1997 | 15.57 |
| 1996 | 14.63 |
| 1995 | 16.50 |
| 1994 | 15.29 |
| 1993 | 6.78 |
| 1992 | 11.23 |
Source: IMF WEO, current vintage (api.imf.org)
Trade balance (goods & services) (% of GDP)
Exports minus imports of goods and services, relative to the size of the economy — the headline measure of international competitiveness. Positive = the country sells more to the world than it buys.
Data table
| 2023 | 37.36 |
| 2022 | 38.53 |
| 2021 | 36.24 |
| 2020 | 31.42 |
| 2019 | 29.53 |
| 2018 | 29.74 |
| 2017 | 26.65 |
| 2016 | 26.21 |
| 2015 | 27.30 |
| 2014 | 23.44 |
| 2013 | 23.11 |
| 2012 | 24.23 |
| 2011 | 27.56 |
| 2010 | 26.31 |
| 2009 | 23.50 |
| 2008 | 20.66 |
| 2007 | 31.27 |
| 2006 | 30.71 |
| 2005 | 29.89 |
| 2004 | 26.38 |
| 2003 | 27.95 |
| 2002 | 18.43 |
| 2001 | 16.50 |
| 2000 | 12.34 |
| 1999 | 17.01 |
| 1998 | 21.50 |
| 1997 | 14.73 |
| 1996 | 16.38 |
| 1995 | 16.78 |
| 1994 | 16.17 |
| 1993 | 9.88 |
| 1992 | 12.14 |
| 1991 | 13.20 |
| 1990 | 10.05 |
| 1989 | 11.02 |
| 1988 | 9.56 |
| 1987 | 2.97 |
| 1986 | 2.64 |
| 1985 | 0.30 |
| 1984 | -0.20 |
Source: World Bank WDI (CC BY 4.0) via DBnomics
Trade openness (% of GDP)
Exports plus imports as a share of GDP. Singapore's is over 300% — among the highest in the world — which is why global trade conditions matter so much to SGX-listed companies.
Data table
| 2023 | 311.24 |
| 2022 | 332.98 |
| 2021 | 329.78 |
| 2020 | 331.69 |
| 2019 | 323.07 |
| 2018 | 326.72 |
| 2017 | 317.03 |
| 2016 | 303.22 |
| 2015 | 329.47 |
| 2014 | 360.47 |
| 2013 | 367.04 |
| 2012 | 369.21 |
| 2011 | 379.10 |
| 2010 | 369.69 |
| 2009 | 358.19 |
| 2008 | 437.33 |
| 2007 | 394.29 |
| 2006 | 425.36 |
| 2005 | 420.43 |
| 2004 | 401.52 |
| 2003 | 377.22 |
| 2002 | 349.75 |
| 2001 | 349.29 |
| 2000 | 364.36 |
| 1999 | 336.48 |
| 1998 | 312.08 |
| 1997 | 323.86 |
| 1996 | 334.91 |
| 1995 | 345.46 |
| 1994 | 316.22 |
| 1993 | 313.42 |
| 1992 | 311.31 |
| 1991 | 323.89 |
| 1990 | 344.33 |
| 1989 | 347.57 |
| 1988 | 359.87 |
| 1987 | 325.04 |
| 1986 | 294.83 |
| 1985 | 304.14 |
| 1984 | 313.12 |
Source: World Bank WDI (CC BY 4.0) via DBnomics
Foreign direct investment inflows (% of GDP)
Money foreign companies invest in building or buying businesses in the country — a vote of confidence in its long-term prospects.
Data table
| 2022 | 29.84 |
| 2021 | 31.62 |
| 2020 | 23.10 |
| 2019 | 28.09 |
| 2018 | 21.76 |
| 2017 | 29.76 |
| 2016 | 20.49 |
| 2015 | 22.65 |
| 2014 | 21.82 |
| 2013 | 20.93 |
| 2012 | 18.74 |
| 2011 | 17.60 |
| 2010 | 23.07 |
| 2009 | 12.07 |
| 2008 | 7.02 |
| 2007 | 26.16 |
| 2006 | 26.33 |
| 2005 | 15.11 |
| 2004 | 21.20 |
| 2003 | 17.46 |
| 2002 | 6.65 |
| 2001 | 18.94 |
| 2000 | 16.15 |
| 1999 | 21.85 |
| 1998 | 6.95 |
| 1997 | 15.68 |
| 1996 | 11.87 |
| 1995 | 13.60 |
| 1994 | 11.60 |
| 1993 | 7.73 |
| 1992 | 4.23 |
| 1991 | 10.75 |
| 1990 | 15.42 |
| 1989 | 9.47 |
| 1988 | 14.41 |
| 1987 | 13.56 |
| 1986 | 9.20 |
| 1985 | 5.46 |
| 1984 | 6.59 |
| 1983 | 6.38 |
Source: World Bank WDI (CC BY 4.0) via DBnomics
Government finances
Government gross debt (% of GDP)
What the government owes relative to the economy's size. High and rising debt limits a government's room to support the economy in a downturn. Note: Singapore's figure looks high but is backed by assets — the state borrows for market-development reasons, not to fund spending.
Data table
| 2031 F | 174.74 |
| 2030 F | 174.30 |
| 2029 F | 173.86 |
| 2028 F | 173.42 |
| 2027 F | 172.65 |
| 2026 F | 171.94 |
| 2025 | 171.26 |
| 2024 | 166.04 |
| 2023 | 170.43 |
| 2022 | 153.34 |
| 2021 | 139.93 |
| 2020 | 147.11 |
| 2019 | 127.68 |
| 2018 | 109.19 |
| 2017 | 107.29 |
| 2016 | 105.91 |
| 2015 | 102.10 |
| 2014 | 97.75 |
| 2013 | 98.19 |
| 2012 | 106.73 |
| 2011 | 103.13 |
| 2010 | 98.67 |
| 2009 | 101.69 |
| 2008 | 97.85 |
| 2007 | 87.79 |
| 2006 | 86.52 |
| 2005 | 92.66 |
| 2004 | 95.69 |
| 2003 | 99.13 |
| 2002 | 96.31 |
| 2001 | 94.47 |
| 2000 | 82.26 |
| 1999 | 85.32 |
| 1998 | 84.65 |
| 1997 | 70.79 |
| 1996 | 71.27 |
| 1995 | 69.82 |
| 1994 | 70.69 |
| 1993 | 71.19 |
| 1992 | 79.02 |
Source: IMF WEO, current vintage (api.imf.org)
Economic sectors (share of GDP)
Agriculture, forestry & fishing (% of GDP)
The farm-and-food-production share of the economy. Near zero for Singapore; large for developing trade partners.
Data table
| 2023 | 0.03 |
| 2022 | 0.03 |
| 2021 | 0.03 |
| 2020 | 0.03 |
| 2019 | 0.03 |
| 2018 | 0.03 |
| 2017 | 0.03 |
| 2016 | 0.03 |
| 2015 | 0.03 |
| 2014 | 0.03 |
| 2013 | 0.03 |
| 2012 | 0.03 |
| 2011 | 0.03 |
| 2010 | 0.04 |
| 2009 | 0.04 |
| 2008 | 0.04 |
| 2007 | 0.04 |
| 2006 | 0.05 |
| 2005 | 0.06 |
| 2004 | 0.06 |
| 2003 | 0.06 |
| 2002 | 0.07 |
| 2001 | 0.08 |
| 2000 | 0.09 |
| 1999 | 0.11 |
| 1998 | 0.11 |
| 1997 | 0.13 |
| 1996 | 0.15 |
| 1995 | 0.14 |
| 1994 | 0.17 |
| 1993 | 0.17 |
| 1992 | 0.20 |
| 1991 | 0.25 |
| 1990 | 0.32 |
| 1989 | 0.36 |
| 1988 | 0.42 |
| 1987 | 0.55 |
| 1986 | 0.72 |
| 1985 | 0.92 |
| 1984 | 1.07 |
Source: World Bank WDI (CC BY 4.0) via DBnomics
Industry (incl. construction) (% of GDP)
Factories, energy, mining and construction combined.
Data table
| 2023 | 22.40 |
| 2022 | 23.75 |
| 2021 | 24.28 |
| 2020 | 23.21 |
| 2019 | 24.02 |
| 2018 | 25.39 |
| 2017 | 23.53 |
| 2016 | 23.25 |
| 2015 | 24.29 |
| 2014 | 24.17 |
| 2013 | 23.44 |
| 2012 | 25.02 |
| 2011 | 25.26 |
| 2010 | 26.64 |
| 2009 | 27.02 |
| 2008 | 26.42 |
| 2007 | 28.23 |
| 2006 | 30.89 |
| 2005 | 31.41 |
| 2004 | 31.89 |
| 2003 | 30.22 |
| 2002 | 30.75 |
| 2001 | 30.38 |
| 2000 | 32.46 |
| 1999 | 30.85 |
| 1998 | 32.09 |
| 1997 | 31.07 |
| 1996 | 31.55 |
| 1995 | 31.49 |
| 1994 | 31.30 |
| 1993 | 32.14 |
| 1992 | 32.29 |
| 1991 | 32.62 |
| 1990 | 30.86 |
| 1989 | 32.12 |
| 1988 | 33.58 |
| 1987 | 32.62 |
| 1986 | 33.13 |
| 1985 | 32.17 |
| 1984 | 35.16 |
Source: World Bank WDI (CC BY 4.0) via DBnomics
Manufacturing (% of GDP)
The factory-output slice of industry on its own — for Singapore this is dominated by electronics, precision engineering, pharma and refining.
Data table
| 2023 | 17.65 |
| 2022 | 19.72 |
| 2021 | 20.28 |
| 2020 | 19.63 |
| 2019 | 19.36 |
| 2018 | 20.73 |
| 2017 | 18.57 |
| 2016 | 17.47 |
| 2015 | 18.09 |
| 2014 | 18.00 |
| 2013 | 17.64 |
| 2012 | 19.12 |
| 2011 | 19.58 |
| 2010 | 20.77 |
| 2009 | 20.27 |
| 2008 | 20.59 |
| 2007 | 23.82 |
| 2006 | 26.58 |
| 2005 | 27.08 |
| 2004 | 27.12 |
| 2003 | 24.77 |
| 2002 | 24.74 |
| 2001 | 23.39 |
| 2000 | 25.86 |
| 1999 | 22.85 |
| 1998 | 22.69 |
| 1997 | 22.15 |
| 1996 | 23.17 |
| 1995 | 23.99 |
| 1994 | 23.62 |
| 1993 | 24.47 |
| 1992 | 24.35 |
| 1991 | 25.46 |
| 1990 | 24.40 |
| 1989 | 25.30 |
| 1988 | 26.08 |
| 1987 | 24.09 |
| 1986 | 22.61 |
| 1985 | 20.12 |
| 1984 | 21.40 |
Source: World Bank WDI (CC BY 4.0) via DBnomics
Services (% of GDP)
Finance, trade, transport, tech, tourism and the rest of the service economy — about 70% of Singapore's GDP.
Data table
| 2023 | 72.45 |
| 2022 | 71.60 |
| 2021 | 70.48 |
| 2020 | 72.14 |
| 2019 | 70.86 |
| 2018 | 69.34 |
| 2017 | 70.35 |
| 2016 | 70.69 |
| 2015 | 69.95 |
| 2014 | 70.35 |
| 2013 | 70.76 |
| 2012 | 69.21 |
| 2011 | 69.02 |
| 2010 | 67.84 |
| 2009 | 68.01 |
| 2008 | 68.35 |
| 2007 | 66.04 |
| 2006 | 64.88 |
| 2005 | 64.07 |
| 2004 | 63.07 |
| 2003 | 64.35 |
| 2002 | 63.98 |
| 2001 | 63.59 |
| 2000 | 60.66 |
| 1999 | 63.07 |
| 1998 | 62.72 |
| 1997 | 62.63 |
| 1996 | 62.08 |
| 1995 | 61.62 |
| 1994 | 61.83 |
| 1993 | 62.01 |
| 1992 | 62.46 |
| 1991 | 62.82 |
| 1990 | 64.18 |
| 1989 | 62.33 |
| 1988 | 61.54 |
| 1987 | 62.86 |
| 1986 | 62.62 |
| 1985 | 63.14 |
| 1984 | 60.03 |
Source: World Bank WDI (CC BY 4.0) via DBnomics
Population & demographics (annual)
Population (million people)
The total number of people — a rough proxy for the size of a country's domestic market and workforce. Bigger, growing populations are a long-run demand tailwind for consumer-facing businesses. From the IMF WEO, so recent years are actuals and the tail (marked F) are IMF projections.
Data table
| 2031 F | 6.37 |
| 2030 F | 6.31 |
| 2029 F | 6.26 |
| 2028 F | 6.22 |
| 2027 F | 6.17 |
| 2026 F | 6.12 |
| 2025 | 6.08 |
| 2024 | 6.04 |
| 2023 | 5.92 |
| 2022 | 5.64 |
| 2021 | 5.45 |
| 2020 | 5.69 |
| 2019 | 5.70 |
| 2018 | 5.64 |
| 2017 | 5.61 |
| 2016 | 5.61 |
| 2015 | 5.54 |
| 2014 | 5.47 |
| 2013 | 5.40 |
| 2012 | 5.31 |
| 2011 | 5.18 |
| 2010 | 5.08 |
| 2009 | 4.99 |
| 2008 | 4.84 |
| 2007 | 4.59 |
| 2006 | 4.40 |
| 2005 | 4.27 |
| 2004 | 4.17 |
| 2003 | 4.11 |
| 2002 | 4.18 |
| 2001 | 4.14 |
| 2000 | 4.03 |
| 1999 | 3.96 |
| 1998 | 3.93 |
| 1997 | 3.80 |
| 1996 | 3.67 |
| 1995 | 3.52 |
| 1994 | 3.42 |
| 1993 | 3.31 |
| 1992 | 3.23 |
Source: IMF WEO, current vintage (api.imf.org)
Population growth (% per year)
How fast the population is changing each year, including migration — derived from the IMF WEO population series. Positive growth adds consumers and workers; flat or shrinking populations are a structural headwind for domestic demand and for the tax base that funds an ageing society. The tail (marked F) are IMF projection years.
Data table
| 2031 F | 0.81 |
| 2030 F | 0.78 |
| 2029 F | 0.71 |
| 2028 F | 0.83 |
| 2027 F | 0.79 |
| 2026 F | 0.72 |
| 2025 | 0.67 |
| 2024 | 2.01 |
| 2023 | 4.98 |
| 2022 | 3.36 |
| 2021 | -4.08 |
| 2020 | -0.31 |
| 2019 | 1.15 |
| 2018 | 0.47 |
| 2017 | 0.09 |
| 2016 | 1.31 |
| 2015 | 1.19 |
| 2014 | 1.31 |
| 2013 | 1.63 |
| 2012 | 2.48 |
| 2011 | 2.11 |
| 2010 | 1.79 |
| 2009 | 3.06 |
| 2008 | 5.47 |
| 2007 | 4.25 |
| 2006 | 3.18 |
| 2005 | 2.38 |
| 2004 | 1.26 |
| 2003 | -1.46 |
| 2002 | 0.92 |
| 2001 | 2.73 |
| 2000 | 1.75 |
| 1999 | 0.80 |
| 1998 | 3.46 |
| 1997 | 3.41 |
| 1996 | 4.15 |
| 1995 | 3.08 |
| 1994 | 3.19 |
| 1993 | 2.56 |
| 1992 | 3.05 |
Source: IMF WEO, current vintage (api.imf.org)
Population aged 65 and over (residents) (% of residents)
Share of Singapore residents aged 65 and over — the local gauge of ageing, computed from SingStat's mid-year resident counts (65-and-over ÷ total residents). Fresher as compared to using the World Bank data as for other countries, though defined on residents only rather than the whole population (residents plus non-residents). Singapore only (SingStat).
Data table
| 2025 | 18.78 |
| 2024 | 18.03 |
| 2023 | 17.30 |
| 2022 | 16.65 |
| 2021 | 16.03 |
| 2020 | 15.19 |
| 2019 | 14.45 |
| 2018 | 13.72 |
| 2017 | 13.03 |
| 2016 | 12.40 |
| 2015 | 11.78 |
| 2014 | 11.15 |
| 2013 | 10.52 |
| 2012 | 9.92 |
| 2011 | 9.31 |
| 2010 | 8.97 |
| 2009 | 8.84 |
| 2008 | 8.67 |
| 2007 | 8.53 |
| 2006 | 8.36 |
| 2005 | 8.07 |
| 2004 | 7.75 |
| 2003 | 7.38 |
| 2002 | 7.42 |
| 2001 | 7.33 |
| 2000 | 7.19 |
| 1999 | 6.98 |
| 1998 | 6.83 |
| 1997 | 6.71 |
| 1996 | 6.61 |
| 1995 | 6.53 |
| 1994 | 6.41 |
| 1993 | 6.29 |
| 1992 | 6.17 |
| 1991 | 6.07 |
| 1990 | 6.01 |
| 1989 | 5.97 |
| 1988 | 5.88 |
| 1987 | 5.75 |
| 1986 | 5.59 |
Source: SingStat Table Builder (M810011)
Fertility rate (births per woman)
Average number of children a woman would have over her lifetime. About 2.1 is the replacement rate that keeps a population stable without migration; Singapore's is around 0.9, among the lowest in the world, which is why the workforce leans on foreign labour and immigration. Singapore figure from SingStat (fresher than the World Bank series used for other countries).
Data table
| 2025 | 0.87 |
| 2024 | 0.97 |
| 2023 | 0.97 |
| 2022 | 1.04 |
| 2021 | 1.12 |
| 2020 | 1.10 |
| 2019 | 1.14 |
| 2018 | 1.14 |
| 2017 | 1.16 |
| 2016 | 1.20 |
| 2015 | 1.24 |
| 2014 | 1.25 |
| 2013 | 1.19 |
| 2012 | 1.29 |
| 2011 | 1.20 |
| 2010 | 1.15 |
| 2009 | 1.22 |
| 2008 | 1.28 |
| 2007 | 1.29 |
| 2006 | 1.28 |
| 2005 | 1.26 |
| 2004 | 1.26 |
| 2003 | 1.27 |
| 2002 | 1.37 |
| 2001 | 1.41 |
| 2000 | 1.60 |
| 1999 | 1.47 |
| 1998 | 1.48 |
| 1997 | 1.61 |
| 1996 | 1.66 |
| 1995 | 1.67 |
| 1994 | 1.71 |
| 1993 | 1.74 |
| 1992 | 1.72 |
| 1991 | 1.73 |
| 1990 | 1.83 |
| 1989 | 1.75 |
| 1988 | 1.96 |
| 1987 | 1.62 |
| 1986 | 1.43 |
Source: SingStat Table Builder (M810091)
Life expectancy at birth (years)
How long a newborn resident would live on average at current mortality rates — a summary measure of health and living standards, and (alongside low fertility) a driver of population ageing and the longevity of retirement funding needs. Singapore figure from SingStat (fresher than the World Bank series used for other countries).
Data table
| 2025 | 83.90 |
| 2024 | 83.70 |
| 2023 | 83.20 |
| 2022 | 83.00 |
| 2021 | 83.20 |
| 2020 | 83.70 |
| 2019 | 83.70 |
| 2018 | 83.40 |
| 2017 | 83.20 |
| 2016 | 83.00 |
| 2015 | 82.90 |
| 2014 | 82.60 |
| 2013 | 82.40 |
| 2012 | 82.10 |
| 2011 | 81.90 |
| 2010 | 81.70 |
| 2009 | 81.40 |
| 2008 | 80.90 |
| 2007 | 80.60 |
| 2006 | 80.30 |
| 2005 | 80.10 |
| 2004 | 79.60 |
| 2003 | 79.10 |
| 2002 | 78.60 |
| 2001 | 78.30 |
| 2000 | 78.00 |
| 1999 | 77.60 |
| 1998 | 77.30 |
| 1997 | 76.90 |
| 1996 | 76.60 |
| 1995 | 76.30 |
| 1994 | 76.20 |
| 1993 | 76.10 |
| 1992 | 75.90 |
| 1991 | 75.60 |
| 1990 | 75.30 |
| 1989 | 74.90 |
| 1988 | 74.70 |
| 1987 | 74.50 |
| 1986 | 74.20 |
Source: SingStat Table Builder (M810501)
Median age (residents) (years)
The age that splits the resident population in half — younger and older. A rising median age is the clearest single sign of an ageing society, shifting demand toward healthcare, eldercare and retirement products. Singapore only (SingStat).
Data table
| 2025 | 43.20 |
| 2024 | 42.80 |
| 2023 | 42.40 |
| 2022 | 42.10 |
| 2021 | 41.80 |
| 2020 | 41.50 |
| 2019 | 41.10 |
| 2018 | 40.80 |
| 2017 | 40.50 |
| 2016 | 40.00 |
| 2015 | 39.60 |
| 2014 | 39.30 |
| 2013 | 38.90 |
| 2012 | 38.40 |
| 2011 | 38.00 |
| 2010 | 37.40 |
| 2009 | 36.90 |
| 2008 | 36.70 |
| 2007 | 36.40 |
| 2006 | 36.10 |
| 2005 | 35.80 |
| 2004 | 35.40 |
| 2003 | 35.00 |
| 2002 | 34.70 |
| 2001 | 34.40 |
| 2000 | 34.00 |
| 1999 | 33.60 |
| 1998 | 33.10 |
| 1997 | 32.70 |
| 1996 | 32.30 |
| 1995 | 31.90 |
| 1994 | 31.50 |
| 1993 | 31.00 |
| 1992 | 30.60 |
| 1991 | 30.20 |
| 1990 | 29.80 |
| 1989 | 29.30 |
| 1988 | 28.80 |
| 1987 | 28.30 |
| 1986 | 27.80 |
Source: SingStat Table Builder (M810001)
Old-age dependency ratio (per 100 working-age)
Number of residents aged 65 and over for every 100 of working age (15–64). A rising ratio means fewer workers supporting each retiree — the core fiscal and labour pressure of ageing. Singapore only (SingStat).
Data table
| 2025 | 27.80 |
| 2024 | 26.50 |
| 2023 | 25.20 |
| 2022 | 24.10 |
| 2021 | 23.10 |
| 2020 | 21.60 |
| 2019 | 20.40 |
| 2018 | 19.20 |
| 2017 | 18.10 |
| 2016 | 17.10 |
| 2015 | 16.20 |
| 2014 | 15.20 |
| 2013 | 14.30 |
| 2012 | 13.50 |
| 2011 | 12.60 |
| 2010 | 12.20 |
| 2009 | 12.10 |
| 2008 | 11.90 |
| 2007 | 11.80 |
| 2006 | 11.60 |
| 2005 | 11.20 |
| 2004 | 10.80 |
| 2003 | 10.40 |
| 2002 | 10.40 |
| 2001 | 10.30 |
| 2000 | 10.10 |
| 1999 | 9.90 |
| 1998 | 9.70 |
| 1997 | 9.50 |
| 1996 | 9.40 |
| 1995 | 9.20 |
| 1994 | 9.10 |
| 1993 | 8.90 |
| 1992 | 8.70 |
| 1991 | 8.60 |
| 1990 | 8.50 |
| 1989 | 8.40 |
| 1988 | 8.30 |
| 1987 | 8.10 |
| 1986 | 8.00 |
Source: SingStat Table Builder (M810001)
Technology & science (annual)
High-tech exports (% of manufactured exports)
The share of a country's manufactured exports that is high-technology products (electronics, aerospace, pharma, instruments). A rough gauge of how tech-heavy its export mix is — Singapore ranks near the top globally. Annual, lags ~1-2 years.
Data table
| 2022 | 25.01 |
| 2021 | 54.96 |
| 2020 | 55.26 |
| 2019 | 51.81 |
| 2018 | 51.56 |
| 2017 | 53.07 |
| 2016 | 52.23 |
| 2015 | 52.21 |
| 2014 | 50.63 |
| 2013 | 50.32 |
| 2012 | 48.45 |
| 2011 | 47.72 |
| 2010 | 52.32 |
| 2009 | 50.88 |
| 2008 | 52.67 |
| 2007 | 48.48 |
Source: World Bank WDI (CC BY 4.0) via DBnomics
R&D expenditure (% of GDP)
How much of the economy is spent on research and development — the long-run input into a country's science and technology capability. Annual, lags ~2 years; not all countries report.
Data table
| 2020 | 2.16 |
| 2019 | 1.89 |
| 2018 | 1.81 |
| 2017 | 1.90 |
| 2016 | 2.07 |
| 2015 | 2.17 |
| 2014 | 2.08 |
| 2013 | 1.92 |
| 2012 | 1.92 |
| 2011 | 2.07 |
| 2010 | 1.93 |
| 2009 | 2.13 |
| 2008 | 2.60 |
| 2007 | 2.32 |
| 2006 | 2.12 |
| 2005 | 2.15 |
| 2004 | 2.08 |
| 2003 | 2.00 |
| 2002 | 2.03 |
| 2001 | 2.01 |
| 2000 | 1.82 |
| 1999 | 1.82 |
| 1998 | 1.74 |
| 1997 | 1.42 |
| 1996 | 1.32 |
Source: World Bank WDI (CC BY 4.0) via DBnomics
Sources: IMF World Economic Outlook and World Bank World Development Indicators (CC BY 4.0), both retrieved via the DBnomics aggregator; Singapore monthly/quarterly series from the Singapore Department of Statistics. Annual World Bank indicators typically lag one to two years; years marked F are IMF projections, not actuals. This is information to research from, not investment advice.