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World Measure
Compare · Countries

🇨🇩 DR Congo vs 🇺🇬 Uganda

Population difference
61,447,579
112.8M
DR Congo
51.4M
Uganda
2.2×
DR Congo is larger by

35 indicators below, published by both countries and set side by side. They differ most on land area, where DR Congo’s figure is 11.3× higher.

Indicators compared
35
Published by both countries
DR Congo
by population · Africa
Uganda
by population · Africa

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
Uganda51,384,894
Land Areakm²
DR Congo2,267,050 km²
Uganda200,520 km²
Population Density/km²
DR Congo47/km²
Uganda243/km²
Life Expectancyyears
DR Congo62.1 years
Uganda68.5 years
GDP per Capita
DR Congo$807
Uganda$1,206
Urban Population
DR Congo45.1%
Uganda31.9%

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 Uganda, side by side
IndicatorDR CongoUgandaDR Congo vs Uganda
Population112,832,47315th of 24051,384,89431st of 2402.2× higher
Annual Growth Rate+3.20%11th of 240+2.70%22nd of 24019% higher
Population Density/km²47/km²168th of 240243/km²61st of 2405.2× lower
Land Areakm²2,267,050 km²11th of 240200,520 km²86th of 2402,066,530 km² apart
Urban Population45.1%177th of 24031.9%210th of 24041% higher
GDP per Capita$807230th of 240$1,206216th of 24033% lower
GDP Growth+5.8%40th of 210+6.3%29th of 2109% lower
Life Expectancyyears62.1 years228th of 24068.5 years188th of 2409% lower
Fertility Ratebirths per woman5.98 births per woman3rd of 2404.17 births per woman19th of 24044% higher
Birth Rateper 1,00040.9 per 1,0005th of 21334.4 per 1,00011th of 21319% higher
Death Rateper 1,0008.4 per 1,00072nd of 2134.8 per 1,000195th of 2131.8× higher
Infant Mortalityper 1,000 live births56.4 per 1,000 live births186th of 19435.9 per 1,000 live births164th of 19457% higher
Unemployment Rate4.4%73rd of 1862.7%31st of 1861.6× higher
Inflation Rate2.9%98th of 1913.6%77th of 19119% lower
Poverty Rate56.2%154th of 16416.1%50th of 1643.5× higher
Gini Index44.7150th of 17042.7141st of 1705% higher
Health Spendingof GDP3.7% of GDP162nd of 1924.2% of GDP149th of 19213% lower
Physiciansper 1,0000.21 per 1,000176th of 2060.19 per 1,000178th of 2069% higher
Hospital Bedsper 1,0000.80 per 1,000167th of 1990.50 per 1,000182nd of 1991.6× higher
Literacy Rate68.5%147th of 17577.0%130th of 17511% lower
Education Spendingof GDP2.8% of GDP159th of 2022.6% of GDP166th of 20211% higher
School Enrollmentgross, secondary55.5% gross, secondary168th of 20724.1% gross, secondary200th of 2072.3× higher
Renewable Energyof final consumption96.3% of final consumption1st of 21190.9% of final consumption5th of 2116% higher
Forest Coverageof land area54.2% of land area41st of 21111.0% of land area159th of 2114.9× higher
Internet Penetration19.7%192nd of 2119.0%205th of 2112.2× higher
Mobile Subscriptionsper 100 people58.5 per 100 people197th of 21283.2 per 100 people165th of 21230% lower
Maternal Mortalityper 100,000 live births427 per 100,000 live births181st of 193170 per 100,000 live births149th of 1932.5× higher
Military Spendingof GDP1.23% of GDP108th of 1631.88% of GDP76th of 16335% lower
Protected Areasof land area14.9% of land area125th of 21116.1% of land area114th of 2117% lower
Median Ageyears15.8 years235th of 24016.9 years231st of 2406% lower
Mean Years of Schoolingyears4.9 years140th of 1486.7 years119th of 14828% lower
Human Development Index0.522170th of 1920.582156th of 19210% lower
Happiness Index/ 103.76/ 10152nd of 1644.49/ 10126th of 16416% lower
CO₂ Emissionstonnes per capita0.05 tonnes per capita212th of 2120.13 tonnes per capita206th of 21257% lower
Obesity Rate5.9%188th of 1988.2%179th of 19828% 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 CongoUganda
0100M200M300M400M19501971199320142036205720792100projected →
Source: UN World Population Prospects 2024. Values from 2025 onward are projections, not observations.
DR Congo and Uganda 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
Uganda19505.75M
Uganda197511.7M
Uganda200024M
Uganda202551.4M
Uganda205085.4M
Uganda2075111.5M
Uganda2100120.8M

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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