Demographics & urbanisation
Population
Million people
WDI / UN · 2025SEA-11 · Singapore is regional context, outside the peer five
Shared order: population descending. Fertility has a different observation year from the other panels.
| Country | Million people 0300 | Year | Source & notes |
|---|---|---|---|
| Indonesia | 285.72 | 2025 | World Bank WDI SP.POP.TOTL (UN Population Division / WPP) · year 2025 · as_of 2026-09-06 Observation notesTotal population. WDI demographic series based on UN World Population Prospects. Original CSV value: 285721236. |
| Philippines | 116.79 | 2025 | World Bank WDI SP.POP.TOTL (UN Population Division / WPP) · year 2025 · as_of 2026-09-06 Observation notesTotal population. WDI demographic series based on UN World Population Prospects. Original CSV value: 116786962. |
| Vietnam | 101.60 | 2025 | World Bank WDI SP.POP.TOTL (UN Population Division / WPP) · year 2025 · as_of 2026-09-06 Observation notesTotal population. WDI demographic series based on UN World Population Prospects. Original CSV value: 101598527. |
| Thailand | 71.62 | 2025 | World Bank WDI SP.POP.TOTL (UN Population Division / WPP) · year 2025 · as_of 2026-09-06 Observation notesTotal population. WDI demographic series based on UN World Population Prospects. Original CSV value: 71619863. |
| Myanmar | 54.85 | 2025 | World Bank WDI SP.POP.TOTL (UN Population Division / WPP) · year 2025 · as_of 2026-09-06 Observation notesTotal population. WDI demographic series based on UN World Population Prospects. Original CSV value: 54850648. |
| Malaysia | 35.98 | 2025 | World Bank WDI SP.POP.TOTL (UN Population Division / WPP) · year 2025 · as_of 2026-09-06 Observation notesTotal population. WDI demographic series based on UN World Population Prospects. Original CSV value: 35977838. |
| Cambodia | 17.85 | 2025 | World Bank WDI SP.POP.TOTL (UN Population Division / WPP) · year 2025 · as_of 2026-09-06 Observation notesTotal population. WDI demographic series based on UN World Population Prospects. Original CSV value: 17847982. |
| Laos | 7.87 | 2025 | World Bank WDI SP.POP.TOTL (UN Population Division / WPP) · year 2025 · as_of 2026-09-06 Observation notesTotal population. WDI demographic series based on UN World Population Prospects. Original CSV value: 7873046. |
| SingaporeRegional context · not a peer | 6.11 | 2025 | World Bank WDI SP.POP.TOTL (UN Population Division / WPP) · year 2025 · as_of 2026-09-06 Observation notesTotal population. WDI demographic series based on UN World Population Prospects. Original CSV value: 6111175. |
| Timor-Leste | 1.42 | 2025 | World Bank WDI SP.POP.TOTL (UN Population Division / WPP) · year 2025 · as_of 2026-09-06 Observation notesTotal population. WDI demographic series based on UN World Population Prospects. Original CSV value: 1418517. |
| Brunei | 0.47 | 2025 | World Bank WDI SP.POP.TOTL (UN Population Division / WPP) · year 2025 · as_of 2026-09-06 Observation notesTotal population. WDI demographic series based on UN World Population Prospects. Original CSV value: 466330. |
Philippines highlighted. Growth bars diverge from zero; other bars start at zero. Gaps have no bars.
Population growth
Thailand is the only SEA-11 economy with negative population growth in this vintage. Its bar extends left of zero.
Annual % change
WDI / UN · 2025SEA-11 · Singapore is regional context, outside the peer five
Shared order: population descending. Fertility has a different observation year from the other panels.
| Country | Annual % change -0.20 = no change1.5 | Year | Source & notes |
|---|---|---|---|
| Indonesia | 0.78 | 2025 | World Bank WDI SP.POP.GROW (UN Population Division / WPP) · year 2025 · as_of 2026-09-06 Observation notesPopulation growth (annual %). Original CSV value: 0.784708535785041. |
| Philippines | 0.81 | 2025 | World Bank WDI SP.POP.GROW (UN Population Division / WPP) · year 2025 · as_of 2026-09-06 Observation notesPopulation growth (annual %). Original CSV value: 0.810982768568445. |
| Vietnam | 0.60 | 2025 | World Bank WDI SP.POP.GROW (UN Population Division / WPP) · year 2025 · as_of 2026-09-06 Observation notesPopulation growth (annual %). Original CSV value: 0.603044839155161. |
| ThailandNegative growth | -0.07 | 2025 | World Bank WDI SP.POP.GROW (UN Population Division / WPP) · year 2025 · as_of 2026-09-06 Observation notesPopulation growth (annual %). Only SEA-11 country with negative growth on this vintage. Original CSV value: -0.0672045728198196. |
| Myanmar | 0.64 | 2025 | World Bank WDI SP.POP.GROW (UN Population Division / WPP) · year 2025 · as_of 2026-09-06 Observation notesPopulation growth (annual %). Original CSV value: 0.641162929716532. |
| Malaysia | 1.17 | 2025 | World Bank WDI SP.POP.GROW (UN Population Division / WPP) · year 2025 · as_of 2026-09-06 Observation notesPopulation growth (annual %). Original CSV value: 1.17471679693395. |
| Cambodia | 1.18 | 2025 | World Bank WDI SP.POP.GROW (UN Population Division / WPP) · year 2025 · as_of 2026-09-06 Observation notesPopulation growth (annual %). Original CSV value: 1.17893708663597. |
| Laos | 1.32 | 2025 | World Bank WDI SP.POP.GROW (UN Population Division / WPP) · year 2025 · as_of 2026-09-06 Observation notesPopulation growth (annual %). Original CSV value: 1.31981575540414. |
| SingaporeRegional context · not a peer | 1.22 | 2025 | World Bank WDI SP.POP.GROW (UN Population Division / WPP) · year 2025 · as_of 2026-09-06 Observation notesPopulation growth (annual %). Original CSV value: 1.22350531679895. |
| Timor-Leste | 1.27 | 2025 | World Bank WDI SP.POP.GROW (UN Population Division / WPP) · year 2025 · as_of 2026-09-06 Observation notesPopulation growth (annual %). Original CSV value: 1.26841125849065. |
| Brunei | 0.78 | 2025 | World Bank WDI SP.POP.GROW (UN Population Division / WPP) · year 2025 · as_of 2026-09-06 Observation notesPopulation growth (annual %). Original CSV value: 0.776925734682091. |
Philippines highlighted. Growth bars diverge from zero; other bars start at zero. Gaps have no bars.
Urban population
% of total population
WDI / UN · 2025SEA-11 · Singapore is regional context, outside the peer five
Shared order: population descending. Fertility has a different observation year from the other panels.
| Country | % of total population 0100 | Year | Source & notes |
|---|---|---|---|
| Indonesia | 59.4 | 2025 | World Bank WDI SP.URB.TOTL.IN.ZS (UN Population Division) · year 2025 · as_of 2026-09-06 Observation notesUrban population (% of total population). Singapore is 100% by definition (city-state). Original CSV value: 59.3929063969984. |
| Philippines | 55.8 | 2025 | World Bank WDI SP.URB.TOTL.IN.ZS (UN Population Division) · year 2025 · as_of 2026-09-06 Observation notesUrban population (% of total population). Singapore is 100% by definition (city-state). Original CSV value: 55.7732907605332. |
| Vietnam | 38.8 | 2025 | World Bank WDI SP.URB.TOTL.IN.ZS (UN Population Division) · year 2025 · as_of 2026-09-06 Observation notesUrban population (% of total population). Singapore is 100% by definition (city-state). Original CSV value: 38.8299160351294. |
| Thailand | 62.8 | 2025 | World Bank WDI SP.URB.TOTL.IN.ZS (UN Population Division) · year 2025 · as_of 2026-09-06 Observation notesUrban population (% of total population). Singapore is 100% by definition (city-state). Original CSV value: 62.7993377136296. |
| Myanmar | 30.6 | 2025 | World Bank WDI SP.URB.TOTL.IN.ZS (UN Population Division) · year 2025 · as_of 2026-09-06 Observation notesUrban population (% of total population). Singapore is 100% by definition (city-state). Original CSV value: 30.5836915476767. |
| Malaysia | 77.4 | 2025 | World Bank WDI SP.URB.TOTL.IN.ZS (UN Population Division) · year 2025 · as_of 2026-09-06 Observation notesUrban population (% of total population). Singapore is 100% by definition (city-state). Original CSV value: 77.3948812296229. |
| Cambodia | 41.1 | 2025 | World Bank WDI SP.URB.TOTL.IN.ZS (UN Population Division) · year 2025 · as_of 2026-09-06 Observation notesUrban population (% of total population). Singapore is 100% by definition (city-state). Original CSV value: 41.10561939401. |
| Laos | 40.3 | 2025 | World Bank WDI SP.URB.TOTL.IN.ZS (UN Population Division) · year 2025 · as_of 2026-09-06 Observation notesUrban population (% of total population). Singapore is 100% by definition (city-state). Original CSV value: 40.3129835040701. |
| Singapore100% by definition · city-stateRegional context · not a peer | 100.0 | 2025 | World Bank WDI SP.URB.TOTL.IN.ZS (UN Population Division) · year 2025 · as_of 2026-09-06 Observation notesUrban population (% of total population). Singapore is 100% by definition (city-state). City-state — urban share defined as 100%. Original CSV value: 100.0. |
| Timor-Leste | 28.8 | 2025 | World Bank WDI SP.URB.TOTL.IN.ZS (UN Population Division) · year 2025 · as_of 2026-09-06 Observation notesUrban population (% of total population). Singapore is 100% by definition (city-state). Original CSV value: 28.7864318960935. |
| Brunei | 75.0 | 2025 | World Bank WDI SP.URB.TOTL.IN.ZS (UN Population Division) · year 2025 · as_of 2026-09-06 Observation notesUrban population (% of total population). Singapore is 100% by definition (city-state). Original CSV value: 75.0109886586819. |
Philippines highlighted. Growth bars diverge from zero; other bars start at zero. Gaps have no bars.
Total fertility rate
Philippine fertility is below the approximate replacement benchmark described in the pack. This panel uses its own observation year.
Births per woman
WDI / UN · 2024SEA-11 · Singapore is regional context, outside the peer five
Shared order: population descending. Fertility has a different observation year from the other panels.
| Country | Births per woman 03 | Year | Source & notes |
|---|---|---|---|
| Indonesia | 2.12 | 2024 | World Bank WDI SP.DYN.TFRT.IN (UN Population Division / WPP) · year 2024 · as_of 2026-09-06 Observation notesTotal fertility rate (births per woman). Latest WDI vintage 2024 as of API pull. Original CSV value: 2.115. |
| Philippines | 1.89 | 2024 | World Bank WDI SP.DYN.TFRT.IN (UN Population Division / WPP) · year 2024 · as_of 2026-09-06 Observation notesTotal fertility rate (births per woman). Latest WDI vintage 2024 as of API pull. Original CSV value: 1.894. |
| Vietnam | 1.90 | 2024 | World Bank WDI SP.DYN.TFRT.IN (UN Population Division / WPP) · year 2024 · as_of 2026-09-06 Observation notesTotal fertility rate (births per woman). Latest WDI vintage 2024 as of API pull. Original CSV value: 1.895. |
| Thailand | 1.20 | 2024 | World Bank WDI SP.DYN.TFRT.IN (UN Population Division / WPP) · year 2024 · as_of 2026-09-06 Observation notesTotal fertility rate (births per woman). Latest WDI vintage 2024 as of API pull. Original CSV value: 1.204. |
| Myanmar | 2.10 | 2024 | World Bank WDI SP.DYN.TFRT.IN (UN Population Division / WPP) · year 2024 · as_of 2026-09-06 Observation notesTotal fertility rate (births per woman). Latest WDI vintage 2024 as of API pull. Original CSV value: 2.098. |
| Malaysia | 1.54 | 2024 | World Bank WDI SP.DYN.TFRT.IN (UN Population Division / WPP) · year 2024 · as_of 2026-09-06 Observation notesTotal fertility rate (births per woman). Latest WDI vintage 2024 as of API pull. Original CSV value: 1.543. |
| Cambodia | 2.55 | 2024 | World Bank WDI SP.DYN.TFRT.IN (UN Population Division / WPP) · year 2024 · as_of 2026-09-06 Observation notesTotal fertility rate (births per woman). Latest WDI vintage 2024 as of API pull. Original CSV value: 2.548. |
| Laos | 2.40 | 2024 | World Bank WDI SP.DYN.TFRT.IN (UN Population Division / WPP) · year 2024 · as_of 2026-09-06 Observation notesTotal fertility rate (births per woman). Latest WDI vintage 2024 as of API pull. Original CSV value: 2.397. |
| SingaporeRegional context · not a peer | 0.97 | 2024 | World Bank WDI SP.DYN.TFRT.IN (UN Population Division / WPP) · year 2024 · as_of 2026-09-06 Observation notesTotal fertility rate (births per woman). Latest WDI vintage 2024 as of API pull. Lowest fertility in SEA-11 on this series. Original CSV value: 0.97. |
| Timor-Leste | 2.63 | 2024 | World Bank WDI SP.DYN.TFRT.IN (UN Population Division / WPP) · year 2024 · as_of 2026-09-06 Observation notesTotal fertility rate (births per woman). Latest WDI vintage 2024 as of API pull. Original CSV value: 2.627. |
| Brunei | 1.73 | 2024 | World Bank WDI SP.DYN.TFRT.IN (UN Population Division / WPP) · year 2024 · as_of 2026-09-06 Observation notesTotal fertility rate (births per woman). Latest WDI vintage 2024 as of API pull. Original CSV value: 1.731. |
Philippines highlighted. Growth bars diverge from zero; other bars start at zero. Gaps have no bars.
Age dependency ratio
Dependants per 100 people aged 15–64
WDI / UN · 2025SEA-11 · Singapore is regional context, outside the peer five
Shared order: population descending. Fertility has a different observation year from the other panels.
| Country | Dependants per 100 people aged 15–64 0100 | Year | Source & notes |
|---|---|---|---|
| Indonesia | 46.6 | 2025 | World Bank WDI SP.POP.DPND (UN Population Division / WPP) · year 2025 · as_of 2026-09-06 Observation notesAge dependency ratio (% of working-age population). Preferred age-structure metric; median age deferred (UN dataportal auth). Original CSV value: 46.6061121871889. |
| Philippines | 48.9 | 2025 | World Bank WDI SP.POP.DPND (UN Population Division / WPP) · year 2025 · as_of 2026-09-06 Observation notesAge dependency ratio (% of working-age population). Preferred age-structure metric; median age deferred (UN dataportal auth). Original CSV value: 48.9488685879186. |
| Vietnam | 47.8 | 2025 | World Bank WDI SP.POP.DPND (UN Population Division / WPP) · year 2025 · as_of 2026-09-06 Observation notesAge dependency ratio (% of working-age population). Preferred age-structure metric; median age deferred (UN dataportal auth). Original CSV value: 47.8208691230641. |
| Thailand | 43.7 | 2025 | World Bank WDI SP.POP.DPND (UN Population Division / WPP) · year 2025 · as_of 2026-09-06 Observation notesAge dependency ratio (% of working-age population). Preferred age-structure metric; median age deferred (UN dataportal auth). Original CSV value: 43.7434423954487. |
| Myanmar | 46.2 | 2025 | World Bank WDI SP.POP.DPND (UN Population Division / WPP) · year 2025 · as_of 2026-09-06 Observation notesAge dependency ratio (% of working-age population). Preferred age-structure metric; median age deferred (UN dataportal auth). Original CSV value: 46.2006615921466. |
| Malaysia | 41.5 | 2025 | World Bank WDI SP.POP.DPND (UN Population Division / WPP) · year 2025 · as_of 2026-09-06 Observation notesAge dependency ratio (% of working-age population). Preferred age-structure metric; median age deferred (UN dataportal auth). Original CSV value: 41.5274856756766. |
| Cambodia | 55.9 | 2025 | World Bank WDI SP.POP.DPND (UN Population Division / WPP) · year 2025 · as_of 2026-09-06 Observation notesAge dependency ratio (% of working-age population). Preferred age-structure metric; median age deferred (UN dataportal auth). Original CSV value: 55.9439537843445. |
| Laos | 53.0 | 2025 | World Bank WDI SP.POP.DPND (UN Population Division / WPP) · year 2025 · as_of 2026-09-06 Observation notesAge dependency ratio (% of working-age population). Preferred age-structure metric; median age deferred (UN dataportal auth). Original CSV value: 53.0168515795744. |
| SingaporeRegional context · not a peer | 35.0 | 2025 | World Bank WDI SP.POP.DPND (UN Population Division / WPP) · year 2025 · as_of 2026-09-06 Observation notesAge dependency ratio (% of working-age population). Preferred age-structure metric; median age deferred (UN dataportal auth). Original CSV value: 34.9531221844161. |
| Timor-Leste | 62.2 | 2025 | World Bank WDI SP.POP.DPND (UN Population Division / WPP) · year 2025 · as_of 2026-09-06 Observation notesAge dependency ratio (% of working-age population). Preferred age-structure metric; median age deferred (UN dataportal auth). Highest total dependency in SEA-11 (youth-driven). Original CSV value: 62.1911145260212. |
| Brunei | 38.6 | 2025 | World Bank WDI SP.POP.DPND (UN Population Division / WPP) · year 2025 · as_of 2026-09-06 Observation notesAge dependency ratio (% of working-age population). Preferred age-structure metric; median age deferred (UN dataportal auth). Original CSV value: 38.6277832278011. |
Philippines highlighted. Growth bars diverge from zero; other bars start at zero. Gaps have no bars.
Median age
GAP · All SEA-11 median-age observations are empty. No median ages are estimated or plotted.
Dependency ratios provide age-structure context; they are not median ages and cannot be converted into them.
Key findings from this pack
- PH is the region’s second-largest population in the supplied series.
- Thailand is the only country with negative population growth in this vintage.
- PH fertility is below approximate replacement; that does not imply immediate population decline.
- Dependency describes age structure; no median ages are seeded.
Methods & vintages
Keep observation years separate
Population, annual growth, urban share and dependency use WDI’s 2025 observations. Fertility uses 2024. The population, fertility and age-structure series draw on UN World Population Prospects; urban share follows the UN Population Division source identified in the CSV. National census one-offs are not mixed into these bars. Every row retains source, year and as_of.
Growth and urbanisation
Thailand’s negative growth is retained exactly from the pack and plotted left of zero. Population labels divide persons by one million and display two decimals. Urban share follows source definitions; Singapore’s complete urban classification is definitional for a city-state, not a data error.
Fertility and dependency
Total fertility is births per woman; the pack identifies Philippine fertility as below approximate replacement. This does not establish immediate population decline. Total dependency counts people aged 0–14 and 65+ relative to people aged 15–64; it is an age ratio, not a measure of actual employment or financial dependence. Young and old dependency observations are separately available in the complete CSV.
Median age and precision
Median age is not seeded in this pack. Dependency remains a separate age-structure measure; it is never used to invent a median age. Population, growth and fertility labels use two decimals; urban share and total dependency use one. Bars use original numeric precision and all scales retain their regional range when peer mode is selected.
Cite this page
ASEAN in Data (2026). Demographics & urbanisation in Southeast Asia. /topics/demographics-urbanization