A consolidated migration profile for China:
who arrives, who leaves, how many people are hosted or displaced, and the national context behind those numbers.
Every figure below is a reported value from an official source — nothing is estimated or filled in.
CapitalBeijing
RegionEast Asia & Pacific
SubregionEast Asia & Pacific (excluding high income)
Population1,406,585,000
Refugees hosted230People protected here
Refugees from here—Fled abroad
Migrants living here1,638,718Foreign-born stock
Net migration-268,126Net outflow
Asylum-seekers482Awaiting a decision
Reporting year2025Most recent data
Latest figures · 2025
Key migration numbers
The headline counts for the most recent reporting year. Refugees hosted are people this country protects; asylum-seekers are still awaiting a decision; applications are new asylum claims lodged during the year.
2025Reporting year
230Refugees hosted
482Asylum-seekers
79Applications (year)
Migration balance
Incoming vs outgoing
Annual estimates
Net migration is arrivals minus departures over the year. Positive means more people moved in than out. Migrant stock is the total foreign-born people living here now.
Net migration (year)-268,126Net outflow
Migrants living here1,638,718Migrant stock
Missing / dead migrants
No data available
IOM Missing Migrants Project
Historical series
Statistics
Recorded migrant, refugee and asylum populations over time. Each line is one category; gaps mean a year the source did not report a figure (the line bridges the gap rather than dropping to zero).
Population profile
Sex, age, religion & more
How the population breaks down across reported dimensions, grouped by the year each figure was reported (most recent first). Bars show each group’s share of the total; where only headcounts were published, the raw number is shown instead.
Religion
Religious make-up over time
National shares
Share of the population by faith across the recorded years. Each line is a stored national value; nothing is estimated.
Displaced population by age cohort for the most recent reported year. Age is summed across sexes in the source data, so this is a single series per cohort — not a male/female split.
Displaced population by sex over the reported years, stacked so the top line reads as the total.
Sex
Female46.4%
Male52.5%
Unknown1.1%
Age
0-44.3%
12-176.7%
18-5978.1%
5-119.9%
Sex
Female41.4%
Male56.6%
Unknown2.0%
Age
0-48.0%
12-174.2%
18-5973.4%
5-1112.5%
Sex
Female41.9%
Male58.1%
Age
0-46.0%
12-174.5%
18-5979.4%
5-1110.1%
Sex
Female43.8%
Male56.2%
Age
0-47.1%
12-174.3%
18-5978.7%
5-119.9%
Sex
Female0.2%
Male0.2%
Unknown99.6%
Age
0-40.0%
12-170.0%
18-590.3%
5-110.0%
Sex
Female0.2%
Male0.2%
Unknown99.6%
Age
0-40.0%
12-170.0%
18-590.3%
5-110.0%
Sex
Female0.1%
Male0.2%
Unknown99.7%
Age
0-40.0%
12-170.0%
18-590.2%
5-110.0%
60+0.0%
Sex
Female0.1%
Male0.2%
Unknown99.7%
Age
0-40.0%
12-170.0%
18-590.2%
5-110.0%
Sex
Female0.1%
Male0.2%
Unknown99.7%
Age
0-40.0%
12-170.0%
18-590.2%
5-110.0%
Sex
Female0.1%
Male0.2%
Unknown99.7%
Age
0-40.0%
12-170.0%
18-590.2%
5-110.0%
Sex
Female47.8%
Male52.2%
Age
0-40.0%
12-170.0%
18-590.2%
5-110.0%
Sex
Female47.8%
Male52.2%
Age
0-40.0%
12-170.0%
18-590.1%
5-110.0%
Sex
Female47.8%
Male52.2%
Age
0-40.0%
12-170.0%
18-590.1%
5-110.0%
Sex
Female47.8%
Male52.2%
Age
12-170.0%
18-590.0%
5-110.0%
Sex
Female47.8%
Male52.2%
Age
0-40.0%
12-170.0%
18-590.0%
5-110.0%
Sex
Female0.0%
Male0.0%
Unknown100.0%
Age
0-40.0%
12-170.0%
18-590.0%
5-110.0%
Sex
Female0.0%
Male0.0%
Unknown100.0%
Age
0-40.0%
12-170.0%
18-590.0%
5-110.0%
Sex
Female0.0%
Male0.1%
Unknown99.9%
Age
0-40.0%
12-170.0%
18-590.0%
5-110.0%
Sex
Female0.0%
Male0.0%
Unknown100.0%
Age
0-40.0%
12-170.0%
18-590.0%
5-110.0%
Sex
Female47.8%
Male52.2%
Age
0-46.6%
12-179.9%
18-5958.7%
5-1111.6%
60+13.2%
Sex
Female48.0%
Male52.0%
Age
0-40.0%
12-170.0%
18-590.0%
5-110.0%
Sex
Female47.6%
Male52.4%
Age
0-46.4%
12-1710.4%
18-5958.9%
5-1112.2%
60+12.0%
Sex
Female47.4%
Male52.6%
Age
0-46.2%
12-1710.3%
18-5959.6%
5-1112.0%
60+11.8%
Sex
Female47.7%
Male52.3%
Age
0-44.3%
12-177.1%
18-5936.0%
5-118.2%
60+7.6%
Country context
National indicators
Economy
GDP (current US$)19,498,039,388,043.00 USD2025GDP per capita (current US$)13,861.97 USD2025Unemployment (% of labour force)4.62 %2025Personal remittances received (US$)30,002,559,370.67 USD2025Personal remittances received (% of GDP)0.15 %2025
Life expectancy at birth, total (years)78.02 years2024Current health expenditure (% of GDP)5.94 %2023Gini index36.00 2022Poverty headcount ratio at $2.15 a day (% of population)0.00 %2022Primary completion rate, total (% of relevant age group)103.46 %2010
Context
Migration & quality of life
These charts place migration next to quality-of-life indicators over time. Correlation is not causation — a relationship here does not prove migration caused the change, or that a change caused the migration.
Economy
Gross domestic product
World Bank
GDP (current US$)
$19.50T
Reported 2025
GDP per capita (current US$)
$13,862
Reported 2025
Migrant stock as a share of the population (left axis, in percent) shown against life expectancy (right axis, in years) over the years.
Each point is one year: migrant share of population (x, in percent) versus life expectancy (y, in years).
Public safety
Recorded crime
Not migrant offending
National crime figures for context only — they describe the whole resident population and are not a measure of migrant offending.
Recorded crime by type
rate / 100k where available
Crime
Rate / 100k
1.00
Crime
Rate / 100k
Homicide
0.50
Crime
Rate / 100k
Homicide
0.52
Crime
Rate / 100k
Homicide
0.53
Crime
Rate / 100k
Homicide
0.57
Crime
Rate / 100k
Homicide
0.61
Crime
Rate / 100k
5.00
Homicide
0.66
Crime
Rate / 100k
Homicide
0.73
Crime
Rate / 100k
Homicide
0.77
Crime
Rate / 100k
Homicide
0.82
Crime
Rate / 100k
Homicide
0.88
Crime
Rate / 100k
Homicide
0.99
Crime
Rate / 100k
2.00
Homicide
1.09
Crime
Rate / 100k
36.00
Homicide
1.11
Crime
Rate / 100k
Homicide
1.22
Crime
Rate / 100k
Homicide
1.36
Crime
Rate / 100k
Homicide
1.59
Crime
Rate / 100k
Homicide
1.90
Crime
Rate / 100k
Homicide
1.88
Crime
Rate / 100k
Homicide
2.04
Crime
Rate / 100k
Homicide
2.10
Crime
Rate / 100k
Homicide
2.06
Crime
Rate / 100k
Homicide
2.24
Public expenditure
Expenses
Migration-related public spending only — Official Development Assistance received and provided (which, for donor countries, includes in-donor refugee costs), in US dollars, stacked so the top line reads as the combined total for each year.
Year
Amount (USD)
Category
2023
$-267,158,997
ODA received
2022
$-280,478,119
ODA received
2021
$-561,917,725
ODA received
2020
$-570,617,065
ODA received
2019
$-607,008,423
ODA received
2018
$-705,271,057
ODA received
2017
$-989,944,336
ODA received
2016
$-791,432,739
ODA received
2015
$-306,290,497
ODA received
2014
$-947,074,341
ODA received
2013
$-656,546,570
ODA received
2012
$-180,530,045
ODA received
2011
$-603,609,619
ODA received
2010
$957,669,983
ODA received
2009
$1,141,387,207
ODA received
2008
$1,305,544,312
ODA received
2007
$1,453,223,389
ODA received
2006
$1,268,520,996
ODA received
2005
$1,798,337,280
ODA received
2004
$1,709,954,346
ODA received
2003
$1,361,546,387
ODA received
2002
$1,511,518,555
ODA received
2001
$1,497,657,227
ODA received
2000
$1,749,021,362
ODA received
1999
$2,406,997,559
ODA received
1998
$2,456,879,639
ODA received
1997
$2,060,834,229
ODA received
1996
$2,655,899,902
ODA received
1995
$3,463,699,951
ODA received
1994
$3,132,290,039
ODA received
1993
$3,202,379,883
ODA received
1992
$2,988,260,010
ODA received
1991
$1,918,750,000
ODA received
1990
$2,030,599,976
ODA received
1989
$2,067,250,000
ODA received
1988
$1,916,119,995
ODA received
1987
$1,377,290,039
ODA received
1986
$1,095,140,015
ODA received
1985
$938,750,000
ODA received
1984
$797,479,980
ODA received
1983
$668,799,988
ODA received
1982
$523,380,005
ODA received
1981
$475,899,994
ODA received
1980
$65,500,000
ODA received
1979
$16,850,000
ODA received
Sources & notes
Figures are consolidated from the UNHCR Refugee Data Finder and the World Bank / UNODC. Only reported values are shown — blanks mean a source did not publish a figure, never a fabricated estimate. Statistics describe recorded populations and movements and should not be read as causal relationships.