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World Measure
Compare · Countries

🇲🇲 Myanmar vs 🇹🇭 Thailand

Population difference
16,769,215
54.9M
Myanmar
71.6M
Thailand
30.6%
Thailand is larger by

35 indicators below, published by both countries and set side by side. They differ most on co₂ emissions, where Thailand’s figure is 6.4× higher.

Indicators compared
35
Published by both countries
Myanmar
by population · Asia
Thailand
by population · Asia

Side by Side

Each bar is scaled against the larger of the two values, so the gap is visible rather than only stated.

Population
Myanmar54,850,648
Thailand71,619,863
Land Areakm²
Myanmar652,670 km²
Thailand510,890 km²
Population Density/km²
Myanmar83/km²
Thailand140/km²
Life Expectancyyears
Myanmar67.1 years
Thailand76.6 years
GDP per Capita
Myanmar$1,489
Thailand$8,057
Urban Population
Myanmar30.6%
Thailand62.8%

Bars compare magnitude only. A larger value is not a better one — several of these indicators have no better direction, and for others the lower figure is the favourable one.

Every Shared Indicator

35 indicators published for both countries. Bold marks the larger of the two values — larger is not always better. Ranks are out of the countries that report each indicator.

Every indicator published for both Myanmar and Thailand, side by side
IndicatorMyanmarThailandMyanmar vs Thailand
Population54,850,64827th of 24071,619,86320th of 24023% lower
Annual Growth Rate+0.64%137th of 240−0.07%196th of 2400.71 points apart
Population Density/km²83/km²128th of 240140/km²91st of 24041% lower
Land Areakm²652,670 km²39th of 240510,890 km²50th of 24028% higher
Urban Population30.6%215th of 24062.8%133rd of 24051% lower
GDP per Capita$1,489210th of 240$8,057134th of 2405.4× lower
GDP Growth−2.0%202nd of 210+2.4%131st of 2104.5 points apart
Life Expectancyyears67.1 years199th of 24076.6 years106th of 24012% lower
Fertility Ratebirths per woman2.10 births per woman105th of 2401.20 births per woman219th of 2401.7× higher
Birth Rateper 1,00016.5 per 1,00093rd of 2138.1 per 1,000184th of 2132.0× higher
Death Rateper 1,0009.2 per 1,00056th of 2139.0 per 1,00057th of 2132% higher
Infant Mortalityper 1,000 live births32.8 per 1,000 live births155th of 1947.7 per 1,000 live births66th of 1944.3× higher
Unemployment Rate3.0%43rd of 1860.8%4th of 1863.9× higher
Inflation Rate8.8%26th of 191-0.1%179th of 1919.0 points apart
Poverty Rate24.8%94th of 1645.4%7th of 1644.6× higher
Gini Index30.739th of 17033.361st of 1708% lower
Health Spendingof GDP4.5% of GDP140th of 1924.5% of GDP136th of 1922% lower
Physiciansper 1,0000.76 per 1,000136th of 2060.54 per 1,000149th of 20640% higher
Hospital Bedsper 1,0001.07 per 1,000150th of 1992.39 per 1,00099th of 19955% lower
Literacy Rate93.5%93rd of 17591.1%103rd of 1753% higher
Education Spendingof GDP2.0% of GDP184th of 2022.5% of GDP168th of 20221% lower
School Enrollmentgross, secondary77.0% gross, secondary146th of 20792.1% gross, secondary98th of 20716% lower
Renewable Energyof final consumption62.9% of final consumption33rd of 21119.0% of final consumption110th of 2113.3× higher
Forest Coverageof land area42.4% of land area70th of 21138.7% of land area78th of 21110% higher
Internet Penetration45.4%165th of 21190.9%56th of 21150% lower
Mobile Subscriptionsper 100 people114.3 per 100 people107th of 212160.6 per 100 people23rd of 21229% lower
Maternal Mortalityper 100,000 live births185 per 100,000 live births154th of 19334 per 100,000 live births82nd of 1935.4× higher
Military Spendingof GDP6.80% of GDP7th of 1631.08% of GDP114th of 1636.3× higher
Protected Areasof land area6.7% of land area174th of 21118.4% of land area98th of 2112.7× lower
Median Ageyears30.1 years136th of 24040.6 years58th of 24026% lower
Mean Years of Schoolingyears6.5 years121st of 1489.3 years79th of 14830% lower
Human Development Index0.609149th of 1920.79875th of 19224% lower
Happiness Index/ 104.29/ 10138th of 1646.30/ 1053rd of 16432% lower
CO₂ Emissionstonnes per capita0.58 tonnes per capita176th of 2123.74 tonnes per capita91st of 2126.4× lower
Obesity Rate8.3%177th of 19815.5%143rd of 19847% lower

Values are each country’s most recent published observation, so the two sides of a row may be from different years — the country pages show the year for each. Bold marks the larger of the two, which is not always the better one.

Population, 1950–2100

Observed to 2024, then the UN medium-variant projection.

MyanmarThailand
010M20M30M40M50M60M70M19501971199320142036205720792100projected →
Source: UN World Population Prospects 2024. Values from 2025 onward are projections, not observations.
Myanmar and Thailand population, 1950 to 2100
SeriesYearValue
Myanmar195017.7M
Myanmar197530.2M
Myanmar200045.3M
Myanmar202554.9M
Myanmar205058.6M
Myanmar207555.5M
Myanmar210049.7M
Thailand195020.4M
Thailand197540.9M
Thailand200063M
Thailand202571.6M
Thailand205066.4M
Thailand207555.2M
Thailand210045.6M

Reading This Comparison

Size is not the same as rate

Totals and per-capita measures answer different questions. A country can have a far larger economy and a far lower GDP per capita at the same time — both facts are in the table.

Mind the vintages

Each value is the latest available for that country, which is not always the same year on both sides. For indicators that move slowly this rarely matters; for inflation or GDP growth it can.

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