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People Statistics · Region

Population density in Beijing

1999 – 2024 · 26 data points 2 of 31 · Regions of China Updated Oct 21, 2026

Source: OECD Regional Database, 1999 – 2024

Population density, 1999 – 2024 per km² · Beijing · China · World
+0.6% since 2014
Beijing China World

Sources: OECD Regional Database · World Bank — World Development Indicators, 1999 – 2024

Compared with Population density · per km²
Beijing
1,330
China
147
World
62.1 · 2023

Sources: OECD Regional Database · World Bank — World Development Indicators

The series at a glance Beijing · 1999 – 2024
Latest value 1,330 · 2024
First value 759 · 1999
Highest 1,338 · 2016
Lowest 759 · 1999
Average change +2.3% a year on average
Data points 26

By year

All years · 1999 – 2024

YearBeijingChange ChinaWorld
2024 1,330 −0.1% 147 —
2023 1,332 +0.1% 147 62.1
2022 1,331 −0.2% 148 61.6
2021 1,334 ±0.0% 148 61.0
2020 1,334 −0.0% 148 60.4
2019 1,334 −0.1% 148 59.8
2018 1,336 −0.1% 147 59.2
2017 1,337 −0.0% 146 58.6
2016 1,338 +0.3% 146 57.9
2015 1,333 +0.8% 145 57.3
2014 1,323 +2.2% 144 56.6
2013 1,295 +2.3% 143 55.9
2012 1,266 +2.7% 142 55.2
2011 1,233 +3.2% 141 55.6
2010 1,196 +5.5% 140 54.9
2009 1,133 +5.0% 140 54.3
2008 1,079 +5.7% 139 53.6
2007 1,021 +4.7% 138 52.9
2006 976 +4.1% 138 52.3
2005 937 +3.0% 137 51.6
2004 910 +2.5% 135 51.0
2003 887 +2.3% 134 50.4
2002 867 +4.3% 133 49.7
2001 831 +8.5% 132 49.1
2000 766 +0.9% 132 48.4
1999 759 130 47.8

Sources: OECD Regional Database · World Bank — World Development Indicators, 1999 – 2024

Ranking · Regions of China

2015 · Place 1 is the highest value.

#TerritoryPopulation density
1 Shanghai 2,983
2 Beijing 1,333
3 Tianjin 1,208
4 Jiangsu 779
5 Guangdong 649
6 Shandong 628
7 Henan 586
8 Zhejiang 568
9 Anhui 429
10 Hebei 390
11 Chongqing 373
12 Fujian 321
13 Hubei 315
14 Hunan 312
15 Liaoning 293
16 Jiangxi 269
17 Hainan 267
18 Shanxi 225
19 Guizhou 210
20 Guangxi 203
21 Shaanxi 187
22 Sichuan 169
23 Jilin 137
24 Ningxia 132
25 Yunnan 122
26 Heilongjiang 78.0
27 Gansu 62.4
28 Inner Mongolia 21.3
29 Xinjiang 14.3
30 Qinghai 8.0
31 Tibet 2.8

Source: OECD Regional Database, 2015

What it means

How crowded a place is: residents per square kilometre.

How it is calculated

Residents divided by land area in square kilometres.