A consolidated migration profile for Malaysia:
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.
CapitalKuala Lumpur
RegionEast Asia & Pacific
SubregionEast Asia & Pacific (excluding high income)
Population35,977,838
Refugees hosted150,164People protected here
Refugees from here—Fled abroad
Migrants living here3,806,514Foreign-born stock
Net migration166,615Net inflow
Asylum-seekers63,011Awaiting 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
150,164Refugees hosted
63,011Asylum-seekers
3,629Applications (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)166,615Net inflow
Migrants living here3,806,514Migrant 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
Female29.1%
Male47.8%
Unknown23.1%
Age
0-48.5%
12-174.5%
18-5952.2%
5-1110.5%
60+1.2%
Sex
Female26.6%
Male48.4%
Unknown25.0%
Age
0-47.1%
12-174.3%
18-5952.5%
5-1110.0%
60+1.1%
Sex
Female25.7%
Male48.5%
Unknown25.8%
Age
0-46.8%
12-174.1%
18-5952.5%
5-119.8%
60+1.0%
Sex
Female24.8%
Male49.3%
Unknown25.9%
Age
0-46.5%
12-173.9%
18-5953.4%
5-119.3%
60+1.0%
Sex
Female24.2%
Male49.7%
Unknown26.1%
Age
0-46.3%
12-173.8%
18-5954.1%
5-118.8%
60+1.0%
Sex
Female30.9%
Male64.3%
Unknown4.8%
Age
0-49.9%
12-174.8%
18-5969.7%
5-119.6%
60+1.2%
Sex
Female23.6%
Male50.1%
Unknown26.3%
Age
0-48.9%
12-173.7%
18-5954.0%
5-116.3%
60+0.9%
Sex
Female21.3%
Male43.3%
Unknown35.4%
Age
0-48.0%
12-173.2%
18-5947.3%
5-115.2%
60+0.8%
Sex
Female21.0%
Male41.3%
Unknown37.7%
Age
0-48.0%
12-173.2%
18-5945.4%
5-114.9%
60+0.8%
Sex
Female20.1%
Male41.8%
Unknown38.1%
Age
0-47.5%
12-172.7%
18-5947.0%
5-114.1%
60+0.7%
Sex
Female19.3%
Male43.4%
Unknown37.3%
Age
0-46.6%
12-172.9%
18-5948.6%
5-113.9%
60+0.7%
Sex
Female16.9%
Male38.6%
Unknown44.5%
Age
0-45.6%
12-172.8%
18-5943.2%
5-113.4%
60+0.6%
Sex
Female16.2%
Male37.5%
Unknown46.3%
Age
0-44.9%
12-173.1%
18-5942.0%
5-113.2%
60+0.5%
Sex
Female13.5%
Male32.0%
Unknown54.5%
Age
0-44.6%
12-172.2%
18-5935.1%
5-113.0%
60+0.6%
Sex
Female13.0%
Male31.4%
Unknown55.6%
Age
0-44.0%
12-172.1%
18-5935.0%
5-112.8%
60+0.5%
Sex
Female12.7%
Male30.5%
Unknown56.8%
Age
0-43.6%
12-172.6%
18-5934.2%
5-112.5%
60+0.4%
Sex
Female13.3%
Male29.2%
Unknown57.5%
Age
0-43.8%
12-173.5%
18-5932.1%
5-112.8%
60+0.4%
Sex
Female10.3%
Male20.5%
Unknown69.2%
Age
0-43.1%
12-173.2%
18-5921.6%
5-112.6%
60+0.3%
Sex
Female8.2%
Male19.6%
Unknown72.2%
Age
0-41.8%
12-172.1%
18-5921.4%
5-112.2%
60+0.3%
Sex
Female11.3%
Male31.7%
Unknown57.0%
Age
0-43.3%
12-173.3%
18-5934.2%
5-111.9%
60+0.4%
Sex
Female10.1%
Male32.1%
Unknown57.8%
Age
0-42.8%
12-171.8%
18-5935.2%
5-112.1%
60+0.3%
Sex
Female8.0%
Male28.0%
Unknown64.0%
Age
0-42.2%
12-171.3%
18-5930.8%
5-111.5%
60+0.2%
Sex
Female2.1%
Male7.4%
Unknown90.5%
Age
0-40.6%
12-170.5%
18-597.7%
5-110.6%
60+0.1%
Sex
Female4.2%
Male6.4%
Unknown89.4%
Age
0-40.1%
12-170.1%
18-590.6%
5-110.1%
Sex
Female0.2%
Male0.3%
Unknown99.5%
Age
0-40.0%
12-170.1%
18-590.3%
5-110.1%
60+0.0%
Country context
National indicators
Economy
GDP (current US$)472,193,128,644.60 USD2025GDP per capita (current US$)13,124.56 USD2025Unemployment (% of labour force)3.76 %2025Personal remittances received (US$)1,605,279,752.32 USD2024Personal remittances received (% of GDP)0.38 %2024
Life expectancy at birth, total (years)76.82 years2024Primary completion rate, total (% of relevant age group)87.74 %2024Current health expenditure (% of GDP)3.96 %2023Gini index40.70 2021Poverty headcount ratio at $2.15 a day (% of population)0.00 %2021
Context
Migration & quality of life
These charts place migration next to quality-of-life indicators over time. Correlation is not causation — a relationship here does not prove migration caused the change, or that a change caused the migration.
Economy
Gross domestic product
World Bank
GDP (current US$)
$472.19B
Reported 2025
GDP per capita (current US$)
$13,125
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
Homicide
0.73
Crime
Rate / 100k
Homicide
0.69
Crime
Rate / 100k
Homicide
0.71
Crime
Rate / 100k
Homicide
0.75
Crime
Rate / 100k
Homicide
0.93
Crime
Rate / 100k
Homicide
0.98
Crime
Rate / 100k
1.00
Homicide
1.17
Crime
Rate / 100k
Homicide
1.43
Crime
Rate / 100k
Homicide
1.59
Crime
Rate / 100k
Homicide
1.66
Crime
Rate / 100k
70.00
Homicide
2.08
Crime
Rate / 100k
Homicide
2.03
Crime
Rate / 100k
Homicide
1.82
Crime
Rate / 100k
Homicide
1.88
Crime
Rate / 100k
Homicide
1.99
Crime
Rate / 100k
Homicide
2.17
Crime
Rate / 100k
Homicide
2.42
Crime
Rate / 100k
Homicide
2.23
Crime
Rate / 100k
Homicide
2.34
Crime
Rate / 100k
Homicide
1.97
Crime
Rate / 100k
Homicide
2.29
Crime
Rate / 100k
Homicide
2.34
Crime
Rate / 100k
Homicide
2.20
Crime
Rate / 100k
Homicide
2.40
Crime
Rate / 100k
Homicide
2.62
Crime
Rate / 100k
Homicide
2.87
Crime
Rate / 100k
Homicide
2.53
Crime
Rate / 100k
Homicide
2.14
Crime
Rate / 100k
Homicide
1.95
Crime
Rate / 100k
Homicide
1.70
Crime
Rate / 100k
Homicide
1.86
Crime
Rate / 100k
Homicide
1.94
Crime
Rate / 100k
Homicide
2.09
Crime
Rate / 100k
Homicide
1.76
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
$6,578,659
ODA received
2022
$5,940,241
ODA received
2021
$15,473,510
ODA received
2020
$-4,258,188
ODA received
2019
$-1,948,065
ODA received
2018
$-34,465,195
ODA received
2017
$-29,250,389
ODA received
2016
$-51,818,665
ODA received
2015
$-600,624
ODA received
2014
$19,922,899
ODA received
2013
$-113,312,218
ODA received
2012
$18,323,242
ODA received
2011
$40,812,160
ODA received
2010
$-8,190,000
ODA received
2009
$139,920,364
ODA received
2008
$156,349,228
ODA received
2007
$202,151,505
ODA received
2006
$241,361,511
ODA received
2005
$29,219,339
ODA received
2004
$299,228,821
ODA received
2003
$110,320,396
ODA received
2002
$89,343,117
ODA received
2001
$29,328,119
ODA received
2000
$48,647,419
ODA received
1999
$145,932,373
ODA received
1998
$201,742,249
ODA received
1997
$-240,341,080
ODA received
1996
$-456,603,333
ODA received
1995
$106,746,666
ODA received
1994
$65,690,002
ODA received
1993
$94,010,002
ODA received
1992
$202,440,002
ODA received
1991
$287,899,994
ODA received
1990
$466,540,009
ODA received
1989
$137,509,995
ODA received
1988
$101,980,003
ODA received
1987
$362,059,998
ODA received
1986
$190,559,998
ODA received
1985
$226,800,003
ODA received
1984
$325,029,999
ODA received
1983
$175,470,001
ODA received
1982
$134,720,001
ODA received
1981
$142,720,001
ODA received
1980
$134,490,005
ODA received
1979
$124,589,996
ODA received
1978
$79,620,003
ODA received
1977
$70,410,004
ODA received
1976
$62,490,002
ODA received
1975
$98,220,001
ODA received
1974
$68,339,996
ODA received
1973
$44,209,999
ODA received
1972
$50,080,002
ODA received
1971
$42,189,999
ODA received
1970
$26,360,001
ODA received
1969
$30,820,000
ODA received
1968
$25,670,000
ODA received
1967
$23,100,000
ODA received
1966
$30,150,000
ODA received
1965
$22,180,000
ODA received
1964
$17,180,000
ODA received
1963
$12,730,000
ODA received
1962
$21,820,000
ODA received
1961
$18,910,000
ODA received
1960
$13,280,000
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.