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🇨🇩 DR Congo vs 🇮🇳 India

Population difference
1,351,033,052
112.8M
DR Congo
1.46B
India
13.0×
India is larger by

35 indicators below, published by both countries and set side by side. They differ most on co₂ emissions, where India’s figure is 40.8× higher.

Indicators compared
35
Published by both countries
DR Congo
by population · Africa
India
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
India1,463,865,525
Land Areakm²
DR Congo2,267,050 km²
India2,973,190 km²
Population Density/km²
DR Congo47/km²
India484/km²
Life Expectancyyears
DR Congo62.1 years
India72.2 years
GDP per Capita
DR Congo$807
India$2,702
Urban Population
DR Congo45.1%
India35.7%

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 India, side by side
IndicatorDR CongoIndiaDR Congo vs India
Population112,832,47315th of 2401,463,865,5251st of 2401,351,033,052 apart
Annual Growth Rate+3.20%11th of 240+0.89%116th of 2403.6× higher
Population Density/km²47/km²168th of 240484/km²28th of 240437 apart
Land Areakm²2,267,050 km²11th of 2402,973,190 km²7th of 24024% lower
Urban Population45.1%177th of 24035.7%200th of 24026% higher
GDP per Capita$807230th of 240$2,702191st of 2403.3× lower
GDP Growth+5.8%40th of 210+7.6%16th of 21024% lower
Life Expectancyyears62.1 years228th of 24072.2 years157th of 24014% lower
Fertility Ratebirths per woman5.98 births per woman3rd of 2401.96 births per woman113th of 2403.0× higher
Birth Rateper 1,00040.9 per 1,0005th of 21316.0 per 1,00095th of 2132.6× higher
Death Rateper 1,0008.4 per 1,00072nd of 2136.6 per 1,000133rd of 21328% higher
Infant Mortalityper 1,000 live births56.4 per 1,000 live births186th of 19423.3 per 1,000 live births134th of 1942.4× higher
Unemployment Rate4.4%73rd of 1864.2%71st of 1865% higher
Inflation Rate2.9%98th of 1912.4%112th of 19120% higher
Poverty Rate56.2%154th of 16421.9%85th of 1642.6× higher
Gini Index44.7150th of 17025.55th of 1701.8× higher
Health Spendingof GDP3.7% of GDP162nd of 1923.3% of GDP170th of 19210% higher
Physiciansper 1,0000.21 per 1,000176th of 2060.72 per 1,000141st of 2063.5× lower
Hospital Bedsper 1,0000.80 per 1,000167th of 1991.59 per 1,000132nd of 19950% lower
Literacy Rate68.5%147th of 17578.2%129th of 17512% lower
Education Spendingof GDP2.8% of GDP159th of 2024.1% of GDP102nd of 20231% lower
School Enrollmentgross, secondary55.5% gross, secondary168th of 20779.6% gross, secondary141st of 20730% lower
Renewable Energyof final consumption96.3% of final consumption1st of 21134.9% of final consumption69th of 2112.8× higher
Forest Coverageof land area54.2% of land area41st of 21124.5% of land area118th of 2112.2× higher
Internet Penetration19.7%192nd of 21170.0%132nd of 2113.6× lower
Mobile Subscriptionsper 100 people58.5 per 100 people197th of 21279.4 per 100 people167th of 21226% lower
Maternal Mortalityper 100,000 live births427 per 100,000 live births181st of 19380 per 100,000 live births120th of 1935.3× higher
Military Spendingof GDP1.23% of GDP108th of 1632.27% of GDP53rd of 16346% lower
Protected Areasof land area14.9% of land area125th of 2117.7% of land area167th of 2111.9× higher
Median Ageyears15.8 years235th of 24028.8 years147th of 24045% lower
Mean Years of Schoolingyears4.9 years140th of 1487.8 years106th of 14838% lower
Human Development Index0.522170th of 1920.685129th of 19224% lower
Happiness Index/ 103.76/ 10152nd of 1644.54/ 10124th of 16417% lower
CO₂ Emissionstonnes per capita0.05 tonnes per capita212th of 2122.20 tonnes per capita128th of 2122.15 tonnes per capita apart
Obesity Rate5.9%188th of 1988.0%180th of 19827% 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 CongoIndia
0200M400M600M800M1B1.2B1.4B1.6B19501971199320142036205720792100projected →
Source: UN World Population Prospects 2024. Values from 2025 onward are projections, not observations.
DR Congo and India 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
India1950346.3M
India1975611.3M
India20001.06B
India20251.46B
India20501.68B
India20751.67B
India21001.51B

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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