A consolidated migration profile for Qatar:
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.
CapitalDoha
RegionMiddle East
Subregion—
Population2,972,215
Refugees hosted195People protected here
Refugees from here—Fled abroad
Migrants living here2,337,000Foreign-born stock
Net migration36,288Net inflow
Asylum-seekers153Awaiting 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
195Refugees hosted
153Asylum-seekers
No data available
Applications (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)36,288Net inflow
Migrants living here2,337,000Migrant 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
Female11.0%
Male11.5%
Unknown77.5%
Age
12-173.5%
18-5913.8%
5-111.7%
60+3.6%
Sex
Female11.0%
Male11.6%
Unknown77.4%
Age
0-40.8%
12-172.8%
18-5913.5%
5-113.7%
60+1.7%
Sex
Female10.8%
Male11.1%
Unknown78.1%
Age
0-40.8%
12-172.9%
18-5912.8%
5-113.8%
60+1.7%
Sex
Female10.9%
Male11.1%
Unknown78.0%
Age
0-40.8%
12-173.1%
18-5912.8%
5-113.2%
60+2.0%
Sex
Female9.4%
Male10.3%
Unknown80.3%
Age
0-40.7%
12-172.5%
18-5911.1%
5-113.3%
60+1.9%
Sex
Female8.9%
Male9.3%
Unknown81.8%
Age
0-40.6%
12-172.4%
18-599.9%
5-113.0%
60+2.4%
Sex
Female9.9%
Male10.2%
Unknown79.9%
Age
0-40.7%
12-172.7%
18-5910.9%
5-113.3%
60+2.6%
Sex
Female10.0%
Male8.9%
Unknown81.1%
Age
12-172.3%
18-5910.8%
5-113.5%
60+2.3%
Sex
Female10.7%
Male9.9%
Unknown79.4%
Age
0-41.0%
12-171.4%
18-593.0%
5-113.6%
60+11.6%
Sex
Female10.7%
Male10.3%
Unknown79.0%
Age
0-42.0%
12-172.6%
18-5911.3%
5-113.6%
60+1.6%
Sex
Female8.0%
Male8.2%
Unknown83.8%
Age
0-41.0%
12-171.9%
18-5910.3%
5-112.0%
60+1.0%
Sex
Female8.3%
Male7.1%
Unknown84.6%
Age
0-41.6%
12-171.8%
18-599.1%
5-111.8%
60+1.1%
Sex
Female5.7%
Male4.7%
Unknown89.6%
Age
0-41.0%
12-171.5%
18-596.9%
5-110.7%
60+0.4%
Sex
Female5.8%
Male4.2%
Unknown90.0%
Age
0-41.3%
12-171.6%
18-595.9%
5-110.8%
60+0.4%
Sex
Female5.3%
Male4.3%
Unknown90.4%
Age
0-41.6%
12-171.7%
18-595.6%
60+0.8%
Sex
Female2.9%
Male2.3%
Unknown94.8%
Age
0-41.0%
12-170.4%
18-593.8%
Sex
Female2.1%
Male1.0%
Unknown96.9%
Age
12-170.9%
18-592.3%
Sex
Female2.2%
Male1.4%
Unknown96.4%
Age
12-170.4%
18-592.7%
5-110.5%
Sex
Female29.8%
Male70.2%
Age
12-1726.2%
18-5965.5%
5-118.3%
Sex
Female21.6%
Male78.4%
Age
12-1729.7%
18-5960.8%
5-119.5%
Sex
Female15.9%
Male84.1%
Age
12-1715.9%
18-5965.2%
5-1118.8%
Sex
Female0.1%
Male1.0%
Unknown98.9%
Age
18-590.8%
5-110.3%
Sex
Female26.1%
Male73.9%
Age
12-1710.2%
18-5961.4%
5-1128.4%
Sex
Female12.3%
Male87.7%
Age
18-5981.5%
5-1118.5%
Sex
Female36.8%
Male63.2%
Age
12-177.9%
18-5964.5%
5-1127.6%
Country context
National indicators
Economy
GDP (current US$)215,559,615,384.61 USD2025GDP per capita (current US$)72,524.91 USD2025Unemployment (% of labour force)0.13 %2025Personal remittances received (US$)1,257,967,032.97 USD2025Personal remittances received (% of GDP)0.58 %2025
Life expectancy at birth, total (years)82.52 years2024Primary completion rate, total (% of relevant age group)95.36 %2024Current health expenditure (% of GDP)2.52 %2023Gini index35.10 2017Poverty headcount ratio at $2.15 a day (% of population)0.00 %2017
Context
Migration & quality of life
These charts place migration next to quality-of-life indicators over time. Correlation is not causation — a relationship here does not prove migration caused the change, or that a change caused the migration.
Economy
Gross domestic product
World Bank
GDP (current US$)
$215.56B
Reported 2025
GDP per capita (current US$)
$72,525
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
0.98
Homicide
0.07
Crime
Rate / 100k
0.50
Homicide
0.32
Crime
Rate / 100k
0.26
Homicide
0.43
Crime
Rate / 100k
0.54
Homicide
0.39
Crime
Rate / 100k
0.49
Homicide
0.36
Crime
Rate / 100k
0.15
Homicide
0.44
Crime
Rate / 100k
0.78
Homicide
0.46
Crime
Rate / 100k
0.17
Homicide
0.25
Crime
Rate / 100k
0.36
Homicide
0.41
Crime
Rate / 100k
0.19
Homicide
0.44
Crime
Rate / 100k
0.20
Homicide
0.37
Crime
Rate / 100k
0.30
Homicide
0.22
Crime
Rate / 100k
0.31
Homicide
0.23
Crime
Rate / 100k
0.53
Homicide
0.50
Crime
Rate / 100k
0.29
Homicide
0.84
Crime
Rate / 100k
0.99
Homicide
0.74
Crime
Rate / 100k
0.36
Homicide
0.51
Crime
Rate / 100k
1.53
Homicide
0.73
Crime
Rate / 100k
0.00
Homicide
0.65
Crime
Rate / 100k
0.47
Homicide
0.74
Crime
Rate / 100k
Homicide
0.16
Crime
Rate / 100k
Homicide
0.49
Crime
Rate / 100k
Homicide
0.34
Crime
Rate / 100k
Homicide
1.00
Crime
Rate / 100k
Homicide
0.83
Crime
Rate / 100k
Homicide
1.28
Crime
Rate / 100k
Homicide
0.88
Crime
Rate / 100k
Homicide
0.91
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
1995
$3,740,000
ODA received
1994
$3,220,000
ODA received
1993
$3,770,000
ODA received
1992
$2,920,000
ODA received
1991
$2,880,000
ODA received
1990
$2,970,000
ODA received
1989
$4,990,000
ODA received
1988
$1,830,000
ODA received
1987
$2,830,000
ODA received
1986
$2,350,000
ODA received
1985
$1,860,000
ODA received
1984
$1,330,000
ODA received
1983
$1,050,000
ODA received
1982
$860,000
ODA received
1981
$850,000
ODA received
1980
$540,000
ODA received
1979
$170,000
ODA received
1978
$140,000
ODA received
1977
$840,000
ODA received
1976
$1,260,000
ODA received
1975
$770,000
ODA received
1974
$510,000
ODA received
1973
$300,000
ODA received
1972
$200,000
ODA received
1971
$100,000
ODA received
1970
$60,000
ODA received
1969
$40,000
ODA received
1967
$10,000
ODA received
1966
$10,000
ODA received
1963
$-20,000
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.
