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🇨🇩 DR Congo vs 🇹🇭 Thailand

Population difference
41,212,610
112.8M
DR Congo
71.6M
Thailand
57.5%
DR Congo 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 69.2× higher.

Indicators compared
35
Published by both countries
DR Congo
by population · Africa
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
DR Congo112,832,473
Thailand71,619,863
Land Areakm²
DR Congo2,267,050 km²
Thailand510,890 km²
Population Density/km²
DR Congo47/km²
Thailand140/km²
Life Expectancyyears
DR Congo62.1 years
Thailand76.6 years
GDP per Capita
DR Congo$807
Thailand$8,057
Urban Population
DR Congo45.1%
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 DR Congo and Thailand, side by side
IndicatorDR CongoThailandDR Congo vs Thailand
Population112,832,47315th of 24071,619,86320th of 24058% higher
Annual Growth Rate+3.20%11th of 240−0.07%196th of 2403.27 points apart
Population Density/km²47/km²168th of 240140/km²91st of 2403.0× lower
Land Areakm²2,267,050 km²11th of 240510,890 km²50th of 2404.4× higher
Urban Population45.1%177th of 24062.8%133rd of 24028% lower
GDP per Capita$807230th of 240$8,057134th of 24010.0× lower
GDP Growth+5.8%40th of 210+2.4%131st of 2102.4× higher
Life Expectancyyears62.1 years228th of 24076.6 years106th of 24019% lower
Fertility Ratebirths per woman5.98 births per woman3rd of 2401.20 births per woman219th of 2405.0× higher
Birth Rateper 1,00040.9 per 1,0005th of 2138.1 per 1,000184th of 2135.0× higher
Death Rateper 1,0008.4 per 1,00072nd of 2139.0 per 1,00057th of 2137% lower
Infant Mortalityper 1,000 live births56.4 per 1,000 live births186th of 1947.7 per 1,000 live births66th of 1947.3× higher
Unemployment Rate4.4%73rd of 1860.8%4th of 1865.7× higher
Inflation Rate2.9%98th of 191-0.1%179th of 1913.0 points apart
Poverty Rate56.2%154th of 1645.4%7th of 16450.8 points apart
Gini Index44.7150th of 17033.361st of 17034% higher
Health Spendingof GDP3.7% of GDP162nd of 1924.5% of GDP136th of 19219% lower
Physiciansper 1,0000.21 per 1,000176th of 2060.54 per 1,000149th of 2062.6× lower
Hospital Bedsper 1,0000.80 per 1,000167th of 1992.39 per 1,00099th of 1993.0× lower
Literacy Rate68.5%147th of 17591.1%103rd of 17525% lower
Education Spendingof GDP2.8% of GDP159th of 2022.5% of GDP168th of 20213% higher
School Enrollmentgross, secondary55.5% gross, secondary168th of 20792.1% gross, secondary98th of 20740% lower
Renewable Energyof final consumption96.3% of final consumption1st of 21119.0% of final consumption110th of 2115.1× higher
Forest Coverageof land area54.2% of land area41st of 21138.7% of land area78th of 21140% higher
Internet Penetration19.7%192nd of 21190.9%56th of 2114.6× lower
Mobile Subscriptionsper 100 people58.5 per 100 people197th of 212160.6 per 100 people23rd of 2122.7× lower
Maternal Mortalityper 100,000 live births427 per 100,000 live births181st of 19334 per 100,000 live births82nd of 193393 per 100,000 live births apart
Military Spendingof GDP1.23% of GDP108th of 1631.08% of GDP114th of 16314% higher
Protected Areasof land area14.9% of land area125th of 21118.4% of land area98th of 21119% lower
Median Ageyears15.8 years235th of 24040.6 years58th of 2402.6× lower
Mean Years of Schoolingyears4.9 years140th of 1489.3 years79th of 14848% lower
Human Development Index0.522170th of 1920.79875th of 19235% lower
Happiness Index/ 103.76/ 10152nd of 1646.30/ 1053rd of 16440% lower
CO₂ Emissionstonnes per capita0.05 tonnes per capita212th of 2123.74 tonnes per capita91st of 2123.68 tonnes per capita apart
Obesity Rate5.9%188th of 19815.5%143rd of 1982.6× 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.

DR CongoThailand
0100M200M300M400M19501971199320142036205720792100projected →
Source: UN World Population Prospects 2024. Values from 2025 onward are projections, not observations.
DR Congo and Thailand population, 1950 to 2100
SeriesYearValue
DR Congo195012.3M
DR Congo197523M
DR Congo200050.5M
DR Congo2025112.8M
DR Congo2050218.2M
DR Congo2075337.1M
DR Congo2100430.7M
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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