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World Measure
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🇨🇩 DR Congo vs 🇵🇰 Pakistan

Population difference
142,387,081
112.8M
DR Congo
255.2M
Pakistan
2.3×
Pakistan is larger by

35 indicators below, published by both countries and set side by side. They differ most on co₂ emissions, where Pakistan’s figure is 13.3× higher.

Indicators compared
35
Published by both countries
DR Congo
by population · Africa
Pakistan
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
Pakistan255,219,554
Land Areakm²
DR Congo2,267,050 km²
Pakistan770,880 km²
Population Density/km²
DR Congo47/km²
Pakistan321/km²
Life Expectancyyears
DR Congo62.1 years
Pakistan67.8 years
GDP per Capita
DR Congo$807
Pakistan$1,596
Urban Population
DR Congo45.1%
Pakistan39.5%

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 Pakistan, side by side
IndicatorDR CongoPakistanDR Congo vs Pakistan
Population112,832,47315th of 240255,219,5545th of 24056% lower
Annual Growth Rate+3.20%11th of 240+1.56%72nd of 2402.1× higher
Population Density/km²47/km²168th of 240321/km²42nd of 2406.9× lower
Land Areakm²2,267,050 km²11th of 240770,880 km²35th of 2402.9× higher
Urban Population45.1%177th of 24039.5%192nd of 24014% higher
GDP per Capita$807230th of 240$1,596208th of 24049% lower
GDP Growth+5.8%40th of 210+3.7%91st of 21056% higher
Life Expectancyyears62.1 years228th of 24067.8 years191st of 2408% lower
Fertility Ratebirths per woman5.98 births per woman3rd of 2403.55 births per woman44th of 2401.7× higher
Birth Rateper 1,00040.9 per 1,0005th of 21327.4 per 1,00041st of 21349% higher
Death Rateper 1,0008.4 per 1,00072nd of 2136.4 per 1,000139th of 21331% higher
Infant Mortalityper 1,000 live births56.4 per 1,000 live births186th of 19448.2 per 1,000 live births181st of 19417% higher
Unemployment Rate4.4%73rd of 1865.4%100th of 18618% lower
Inflation Rate2.9%98th of 1913.5%79th of 19119% lower
Poverty Rate56.2%154th of 16421.9%85th of 1642.6× higher
Gini Index44.7150th of 17033.565th of 17033% higher
Health Spendingof GDP3.7% of GDP162nd of 1922.5% of GDP187th of 19246% higher
Physiciansper 1,0000.21 per 1,000176th of 2061.16 per 1,000119th of 2065.6× lower
Hospital Bedsper 1,0000.80 per 1,000167th of 1990.63 per 1,000178th of 19927% higher
Literacy Rate68.5%147th of 17558.9%159th of 17516% higher
Education Spendingof GDP2.8% of GDP159th of 2021.9% of GDP185th of 20246% higher
School Enrollmentgross, secondary55.5% gross, secondary168th of 20748.3% gross, secondary180th of 20715% higher
Renewable Energyof final consumption96.3% of final consumption1st of 21141.6% of final consumption59th of 2112.3× higher
Forest Coverageof land area54.2% of land area41st of 2114.7% of land area177th of 21149.5 points apart
Internet Penetration19.7%192nd of 21157.3%154th of 2112.9× lower
Mobile Subscriptionsper 100 people58.5 per 100 people197th of 21276.9 per 100 people168th of 21224% lower
Maternal Mortalityper 100,000 live births427 per 100,000 live births181st of 193155 per 100,000 live births145th of 1932.8× higher
Military Spendingof GDP1.23% of GDP108th of 1632.67% of GDP39th of 16354% lower
Protected Areasof land area14.9% of land area125th of 21119.1% of land area93rd of 21122% lower
Median Ageyears15.8 years235th of 24020.6 years196th of 24023% lower
Mean Years of Schoolingyears4.9 years140th of 1486.4 years123rd of 14824% lower
Human Development Index0.522170th of 1920.544167th of 1924% lower
Happiness Index/ 103.76/ 10152nd of 1644.87/ 10112th of 16423% lower
CO₂ Emissionstonnes per capita0.05 tonnes per capita212th of 2120.72 tonnes per capita167th of 2120.66 tonnes per capita apart
Obesity Rate5.9%188th of 19823.5%104th of 1984.0× 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 CongoPakistan
0100M200M300M400M500M19501971199320142036205720792100projected →
Source: UN World Population Prospects 2024. Values from 2025 onward are projections, not observations.
DR Congo and Pakistan 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
Pakistan195035.8M
Pakistan197569.5M
Pakistan2000154.9M
Pakistan2025255.2M
Pakistan2050371.9M
Pakistan2075466.7M
Pakistan2100511M

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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