Russian oil exports to European countries in 2025, by destinatio… — Data analysis

Russian oil exports to European countries in 2025, by destination country

Model: DeepSeek V4.1 Flash Checked on: 10/10/2026

Russian oil exports to European countries in 2025

Using Eurostat's monthly "Oil and petroleum products imports" statistics (reported imports by the receiving country from Russia — the mirror image of Russian exports)¹, here is the 2025 breakdown by destination country, in thousand tonnes (total oil & petroleum products, category O4000):

Destination country	Crude oil	Refined products	Other oil*	Total
Türkiye	15,229.3	16,776.7	45.8	32,051.8
Slovakia	4,922.9	0.3	0.0	4,923.2
Hungary	3,762.0	0.0	0.0	3,762.0
Netherlands	0.0	0.0	1,715.5	1,715.5
Georgia	225.3	846.6	0.0	1,071.8
Czechia	527.0	0.0	0.0	527.0
Croatia	0.0	0.0	423.4	423.4
Poland	0.0	294.7	0.0	294.7
France	0.0	0.0	29.0	29.0
Finland	0.0	15.0	0.0	15.0
Germany	7.9	0.0	0.0	7.9
Lithuania	0.0	6.7	0.0	6.7
Latvia	0.0	2.7	0.0	2.7
Moldova	0.0	0.4	0.0	0.4
North Macedonia	0.0	0.1	0.0	0.1
Total (listed)	24,674.4	17,943.2	2,213.7	44,831.3

*"Other oil" = NGL, refinery feedstocks, additives and other hydrocarbons (reported under O4000 but not in the crude-oil or refined-product sub-totals).

All other European reporters in the dataset (Belgium, Austria, Spain, Italy, Ireland, Cyprus, Bulgaria, Denmark, Estonia, Greece, Montenegro, Norway, Malta, Luxembourg, Portugal, Serbia, Romania, Slovenia, Sweden, Albania) recorded zero imports of Russian oil in 2025.

Key points

Türkiye dominates, taking ~32.1 million tonnes — about 71% of the European total — split fairly evenly between crude (15.2 Mt) and refined products (16.8 Mt)²³.
Slovakia and Hungary are the only EU members still importing significant volumes, and both are essentially crude-only (via pipeline): 4.9 Mt and 3.8 Mt respectively².
The EU-27 aggregate for 2025 was 11.71 million tonnes (9.22 Mt crude + 0.32 Mt refined products + the rest other oil), consistent with the sum of its member states³.
For context, total 2025 flows to the listed European destinations came to ~44.8 million tonnes³².

The accompanying chart (generated in ²) shows these flows as a horizontal bar chart, broken down by crude oil, refined products and other oil.

Caveats: figures are volumes (thousand tonnes) reported by importing countries in Eurostat energy statistics; value (€) data are not reported for Russian partners. The dataset covers EU countries plus a set of neighbouring European economies (e.g. Türkiye, Georgia, Moldova, Western Balkan countries, Norway) — a few other European destinations outside Eurostat's coverage would not appear.

Eurostat dataset: Oil and petroleum products imports - monthly data

Code Run 2

Dataset: nrg_ti_oilm

Images

russian_oil_2025.svg

Dataset filters for `nrg_ti_oilm`

Filter	Value(s)
partner	RU
siec	O4000, O4100_TOT, O4600
unit	THS_T
sinceTimePeriod	2025-01
untilTimePeriod	2025-12

Program output

saved
siec  O4100_TOT    O4600   other    O4000
geo                                      
TR      15229.3  16776.7    45.8  32051.8
SK       4922.9      0.3     0.0   4923.2
HU       3762.0      0.0     0.0   3762.0
NL          0.0      0.0  1715.5   1715.5
GE        225.3    846.6     0.0   1071.8
CZ        527.0      0.0     0.0    527.0
HR          0.0      0.0   423.4    423.4
PL          0.0    294.7     0.0    294.7
FR          0.0      0.0    29.0     29.0
FI          0.0     15.0     0.0     15.0
DE          7.9      0.0     0.0      7.9
LT          0.0      6.7     0.0      6.7
LV          0.0      2.7     0.0      2.7
MD          0.0      0.4     0.0      0.4
MK          0.0      0.1     0.0      0.1

Code


import pandas as pd, numpy as np
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt

df = pd.read_csv(DATASET_FILE, dtype=str)
df['value'] = pd.to_numeric(df['value'], errors='coerce')
df = df.dropna(subset=['value'])
agg = df.groupby(['geo','siec'])['value'].sum().reset_index()
piv = agg.pivot(index='geo', columns='siec', values='value').fillna(0)
piv = piv.drop(index=['EU27_2020','EA21'], errors='ignore')
piv = piv[piv['O4000'] > 0].sort_values('O4000', ascending=True)
piv['other'] = (piv['O4000'] - piv['O4100_TOT'] - piv['O4600']).clip(lower=0)

labels = {'TR':'Türkiye','SK':'Slovakia','HU':'Hungary','NL':'Netherlands','GE':'Georgia',
          'CZ':'Czechia','HR':'Croatia','PL':'Poland','FR':'France','FI':'Finland',
          'DE':'Germany','LT':'Lithuania','LV':'Latvia','MD':'Moldova','MK':'North Macedonia'}
names=[labels.get(g,g) for g in piv.index]
fig,ax=plt.subplots(figsize=(10,7))
y=np.arange(len(piv))
ax.barh(y,piv['O4100_TOT'],color='#1f4e79',label='Crude oil')
ax.barh(y,piv['O4600'],left=piv['O4100_TOT'],color='#e07b39',label='Refined oil products')
ax.barh(y,piv['other'],left=piv['O4100_TOT']+piv['O4600'],color='#7f7f7f',label='Other oil (NGL, feedstocks, etc.)')
ax.set_yticks(y); ax.set_yticklabels(names)
ax.set_xlabel('Thousand tonnes (2025)')
ax.set_title('Russian oil exports to European countries, 2025 (by destination, thousand tonnes)')
ax.legend(loc='lower right')
for i,t in enumerate(piv['O4000']): ax.text(t+250,i,f'{t:,.0f}',va='center',fontsize=9)
ax.set_xlim(0,piv['O4000'].max()*1.13)
plt.tight_layout(); plt.savefig('russian_oil_2025.svg')
print('saved'); print(piv[['O4100_TOT','O4600','other','O4000']].round(1).sort_values('O4000',ascending=False).to_string())

Code Run 1

Dataset: nrg_ti_oilm

Dataset filters for `nrg_ti_oilm`

Filter	Value(s)
partner	RU
siec	O4000, O4100_TOT, O4600
unit	THS_T
sinceTimePeriod	2025-01
untilTimePeriod	2025-12

Program output

siec  Total oil & petroleum products  Crude oil  Refined oil products
geo                                                                  
TR                           32051.8    15229.3               16776.7
SK                            4923.2     4922.9                   0.3
HU                            3762.0     3762.0                   0.0
NL                            1715.5        0.0                   0.0
GE                            1071.8      225.3                 846.6
CZ                             527.0      527.0                   0.0
HR                             423.4        0.0                   0.0
PL                             294.7        0.0                 294.7
FR                              29.0        0.0                   0.0
FI                              15.0        0.0                  15.0
DE                               7.9        7.9                   0.0
LT                               6.7        0.0                   6.7
LV                               2.7        0.0                   2.7
MD                               0.4        0.0                   0.4
MK                               0.1        0.0                   0.1
BE                               0.0        0.0                   0.0
AT                               0.0        0.0                   0.0
AL                               0.0        0.0                   0.0
ES                               0.0        0.0                   0.0
IT                               0.0        0.0                   0.0
IE                               0.0        0.0                   0.0
CY                               0.0        0.0                   0.0
BG                               0.0        0.0                   0.0
DK                               0.0        0.0                   0.0
EE                               0.0        0.0                   0.0
EL                               0.0        0.0                   0.0
ME                               0.0        0.0                   0.0
NO                               0.0        0.0                   0.0
MT                               0.0        0.0                   0.0
LU                               0.0        0.0                   0.0
PT                               0.0        0.0                   0.0
RS                               0.0        0.0                   0.0
RO                               0.0        0.0                   0.0
SI                               0.0        0.0                   0.0
SE                               0.0        0.0                   0.0

EU27 total reported (aggregate row):
siec       Total oil & petroleum products  Crude oil  Refined oil products
geo                                                                       
EU27_2020                         11707.2     9219.8                 319.5
EA21                               7123.4     4930.8                  24.7

Sum across listed European countries:
siec
Total oil & petroleum products    44831.3
Crude oil                         24674.4
Refined oil products              17943.2
dtype: float64

Code


import pandas as pd, numpy as np
df = pd.read_csv(DATASET_FILE, dtype=str)
df['value'] = pd.to_numeric(df['value'], errors='coerce')
df = df.dropna(subset=['value'])

agg = df.groupby(['geo','siec'])['value'].sum().reset_index()
piv = agg.pivot(index='geo', columns='siec', values='value').fillna(0)
piv = piv.rename(columns={'O4000':'Total oil & petroleum products',
                          'O4100_TOT':'Crude oil',
                          'O4600':'Refined oil products'})
# exclude aggregates
aggs = ['EU27_2020','EA21']
countries = piv.drop(index=[a for a in aggs if a in piv.index], errors='ignore')
countries = countries.sort_values('Total oil & petroleum products', ascending=False)
pd.set_option('display.width', 200)
print(countries.round(1).to_string())
print()
print('EU27 total reported (aggregate row):')
print(piv.loc[[a for a in aggs if a in piv.index]].round(1).to_string())
print()
print('Sum across listed European countries:')
print(countries.sum().round(1))

Russian oil exports to European countries in 2025, by destination country