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World Measure
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🇨🇩 DR Congo vs 🇹🇿 Tanzania

Population difference
42,286,608
112.8M
DR Congo
70.5M
Tanzania
59.9%
DR Congo is larger by

35 indicators below, published by both countries and set side by side. They differ most on co₂ emissions, where Tanzania’s figure is 5.4× higher.

Indicators compared
35
Published by both countries
DR Congo
by population · Africa
Tanzania
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
Tanzania70,545,865
Land Areakm²
DR Congo2,267,050 km²
Tanzania885,800 km²
Population Density/km²
DR Congo47/km²
Tanzania75/km²
Life Expectancyyears
DR Congo62.1 years
Tanzania67.2 years
GDP per Capita
DR Congo$807
Tanzania$1,319
Urban Population
DR Congo45.1%
Tanzania36.9%

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 Tanzania, side by side
IndicatorDR CongoTanzaniaDR Congo vs Tanzania
Population112,832,47315th of 24070,545,86521st of 24060% higher
Annual Growth Rate+3.20%11th of 240+2.86%17th of 24012% higher
Population Density/km²47/km²168th of 24075/km²140th of 24038% lower
Land Areakm²2,267,050 km²11th of 240885,800 km²31st of 2402.6× higher
Urban Population45.1%177th of 24036.9%198th of 24022% higher
GDP per Capita$807230th of 240$1,319213th of 24039% lower
GDP Growth+5.8%40th of 210+5.9%37th of 2102% lower
Life Expectancyyears62.1 years228th of 24067.2 years198th of 2408% lower
Fertility Ratebirths per woman5.98 births per woman3rd of 2404.54 births per woman12th of 24032% higher
Birth Rateper 1,00040.9 per 1,0005th of 21334.8 per 1,00010th of 21317% higher
Death Rateper 1,0008.4 per 1,00072nd of 2135.7 per 1,000167th of 21347% higher
Infant Mortalityper 1,000 live births56.4 per 1,000 live births186th of 19428.7 per 1,000 live births145th of 1942.0× higher
Unemployment Rate4.4%73rd of 1861.6%12th of 1862.8× higher
Inflation Rate2.9%98th of 1913.3%86th of 19113% lower
Poverty Rate56.2%154th of 16426.4%104th of 1642.1× higher
Gini Index44.7150th of 17040.5128th of 17010% higher
Health Spendingof GDP3.7% of GDP162nd of 1923.1% of GDP176th of 19221% higher
Physiciansper 1,0000.21 per 1,000176th of 2060.13 per 1,000191st of 20655% higher
Hospital Bedsper 1,0000.80 per 1,000167th of 1990.84 per 1,000166th of 1995% lower
Literacy Rate68.5%147th of 17578.2%128th of 17512% lower
Education Spendingof GDP2.8% of GDP159th of 2023.2% of GDP146th of 20210% lower
School Enrollmentgross, secondary55.5% gross, secondary168th of 20728.2% gross, secondary199th of 2072.0× higher
Renewable Energyof final consumption96.3% of final consumption1st of 21178.3% of final consumption20th of 21123% higher
Forest Coverageof land area54.2% of land area41st of 21150.1% of land area52nd of 2118% higher
Internet Penetration19.7%192nd of 21131.2%182nd of 21137% lower
Mobile Subscriptionsper 100 people58.5 per 100 people197th of 212126.6 per 100 people69th of 21254% lower
Maternal Mortalityper 100,000 live births427 per 100,000 live births181st of 193276 per 100,000 live births169th of 19355% higher
Military Spendingof GDP1.23% of GDP108th of 1631.16% of GDP113th of 1636% higher
Protected Areasof land area14.9% of land area125th of 21139.9% of land area13th of 2112.7× lower
Median Ageyears15.8 years235th of 24017.5 years227th of 24010% lower
Mean Years of Schoolingyears4.9 years140th of 1486.9 years114th of 14829% lower
Human Development Index0.522170th of 1920.555164th of 1926% lower
Happiness Index/ 103.76/ 10152nd of 1643.90/ 10148th of 1644% lower
CO₂ Emissionstonnes per capita0.05 tonnes per capita212th of 2120.29 tonnes per capita188th of 2125.4× lower
Obesity Rate5.9%188th of 19810.5%167th of 19844% 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 CongoTanzania
0100M200M300M400M19501971199320142036205720792100projected →
Source: UN World Population Prospects 2024. Values from 2025 onward are projections, not observations.
DR Congo and Tanzania 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
Tanzania19507.63M
Tanzania197516.1M
Tanzania200034.3M
Tanzania202570.5M
Tanzania2050129.6M
Tanzania2075198.8M
Tanzania2100262.8M

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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