Photos on Tracking information about the Russian War against Ukraine

General Staff: Russia has lost 1,275,980 troops in Ukraine since Feb. 24, 2022

Wed, 11 Mar 2026 08:31:29 +0100

The number includes 990 casualties that Russian forces suffered over the past day.

Moscow's own assessments reveal staggering losses in Ukraine, intelligence suggests

Wed, 11 Mar 2026 04:44:27 +0100

The Kremlin's own classified assessments estimate that 1,315,000 Russian soldiers have been killed and wounded on the battlefield since the start of Russia's full-scale of Ukraine in February 2022, President Volodymyr Zelensky said on March 10, citing Ukrainian intelligence reports.

Country	Emotional attachment to Europe (0 — Not at all, 10 — Very emotionally attached)	European unification should go further or has already gone too far (0 — Unification has gone too far, 10 — Unification should go further)	People should be loyal to their leaders¹ (1 — Agree strongly, 5 — Disagree strongly)	The government should take measures to reduce differences in income levels¹ (1 — Agree strongly, 5 — Disagree strongly)
ESS 10	ESS 11	ESS 10	ESS 11	ESS 10	ESS 11	ESS 10	ESS 11
Belgium	5.91	5.76	5.87	5.73	3.05	3.11	2.17	2.21
Switzerland	5.97	6.05	4.99	5.00	2.72	2.83	2.32	2.28
United Kingdom	4.77	4.87	5.08	5.41	3.28	3.33	2.13	2.18
Greece	5.32	5.24	5.05	5.22	3.78	3.55	1.76	1.66
Ireland	6.21	5.98	5.84	5.34	3.06	3.10	2.11	2.05
Italy	5.93	5.73	5.18	4.75	2.80	2.82	2.06	1.85
Montenegro	5.72	4.73	3.82	6.02	3.20	3.18	2.07	2.28
Netherlands	5.77	5.63	5.79	5.56	3.24	3.22	2.27	2.37
Norway	6.31	6.45	4.99	5.11	2.93	2.91	2.13	2.25
Portugal	6.55	6.69	6.21	6.37	3.00	3.11	1.70	1.74
Note: For data from the 10th and 11th waves of the ESS, post-stratification weights combined with design weights were applied. Statistically significant differences in mean values between survey waves (p ≤ 0.05), based on the Mann–Whitney test, are shown in bold. The test was conducted separately for each country across all eight attitudes, after which the Holm correction for multiple comparisons was applied. ¹ The lower the mean value, the stronger the agreement.

	(1)	(2)	(3)	(4)	(5)	(6)	(7)	(8)
(Intercept)	4.744*** (0.203)	4.729*** (0.170)	2.425*** (0.077)	3.046*** (0.065)	1.538*** (0.090)	1.510*** (0.096)	5.227*** (0.234)	5.272*** (0.220)
Period: Up to 1 month	0.100 (0.056)	0.139* (0.058)	-0.050* (0.025)	0.004 (0.023)	-0.006 (0.019)	0.011 (0.019)	0.038 (0.053)	0.095 (0.054)
Period: From 1 to 3 months	0.163* (0.063)	0.307*** (0.065)	0.029 (0.029)	-0.016 (0.026)	-0.025 (0.021)	-0.028 (0.022)	-0.214*** (0.059)	-0.149* (0.061)
Period: From 3 to 6 months	0.095 (0.070)	0.503*** (0.073)	0.078* (0.031)	0.008 (0.028)	0.047* (0.023)	0.026 (0.024)	0.148* (0.066)	0.218** (0.067)
Period: From 6 months to 1.5 years	-0.006 (0.044)	0.208*** (0.046)	0.004 (0.020)	-0.033 (0.018)	0.023 (0.015)	0.005 (0.015)	-0.005 (0.042)	-0.088* (0.042)
Period: 1.5 years or more	-0.085* (0.033)	0.243*** (0.034)	0.025 (0.015)	0.023 (0.013)	-0.045*** (0.011)	-0.053*** (0.011)	-0.063* (0.031)	-0.222*** (0.032)
Gender: Female	0.120*** (0.026)	-0.066* (0.027)	-0.022 (0.012)	0.101*** (0.010)	0.029*** (0.009)	0.044*** (0.009)	-0.198*** (0.024)	0.103*** (0.025)
Age	0.002* (0.001)	-0.007*** (0.001)	0.004*** (0.000)	0.000 (0.000)	-0.006*** (0.000)	-0.006*** (0.000)	-0.004*** (0.001)	-0.009*** (0.001)
Urban residence: No	-0.142*** (0.028)	-0.236*** (0.029)	0.077*** (0.012)	-0.070*** (0.011)	-0.078*** (0.009)	-0.067*** (0.009)	-0.180*** (0.026)	-0.247*** (0.026)
Born in the country of residence: Yes	-0.460*** (0.042)	-0.486*** (0.045)	-0.181*** (0.019)	0.032 (0.017)	-0.244*** (0.014)	-0.231*** (0.014)	-1.048*** (0.040)	-0.909*** (0.040)
Education (years of education)	0.075*** (0.003)	0.055*** (0.004)	-0.039*** (0.002)	0.000 (0.001)	0.025*** (0.001)	0.024*** (0.001)	0.079*** (0.003)	0.086*** (0.003)
Income source: Self-employment	0.067 (0.052)	-0.001 (0.054)	-0.039 (0.023)	-0.016 (0.021)	-0.041* (0.017)	-0.044* (0.018)	-0.102* (0.049)	-0.085 (0.050)
Income source: Farming or household production	-0.053 (0.094)	0.121 (0.097)	-0.019 (0.042)	-0.007 (0.038)	-0.129*** (0.031)	-0.055 (0.032)	-0.056 (0.088)	-0.063 (0.090)
Income source: Pension	0.056 (0.041)	0.107* (0.043)	0.097*** (0.019)	0.035* (0.017)	0.010 (0.014)	0.020 (0.014)	0.006 (0.039)	-0.025 (0.040)
Income source: Unemployment or redundancy benefits	-0.377** (0.116)	0.119 (0.127)	-0.022 (0.052)	0.007 (0.047)	-0.117** (0.039)	-0.127** (0.040)	-0.260* (0.109)	-0.048 (0.112)
Income source: Other social benefits, subsidies, or grants	-0.116 (0.081)	-0.308*** (0.086)	0.110** (0.036)	0.181*** (0.033)	-0.090*** (0.027)	-0.112*** (0.027)	-0.475*** (0.076)	-0.363*** (0.077)
Income source: Investments, savings, insurance, or property	0.386** (0.145)	0.138 (0.148)	0.040 (0.065)	-0.224*** (0.059)	-0.029 (0.048)	-0.037 (0.050)	0.074 (0.135)	-0.133 (0.140)
Income source: Other sources	-0.150 (0.101)	-0.051 (0.104)	-0.048 (0.045)	0.008 (0.041)	-0.006 (0.033)	0.013 (0.034)	0.088 (0.094)	0.216* (0.095)
Financial comfort	0.215*** (0.018)	0.130*** (0.018)	0.035*** (0.008)	-0.096*** (0.007)	0.070*** (0.006)	0.052*** (0.006)	0.239*** (0.017)	0.199*** (0.017)
SD (Intercept, country level)	0.598	0.480	0.220	0.183	0.273	0.293	0.707	0.659
SD (Observations)	2.339	2.370	1.043	0.942	0.774	0.794	2.184	2.226
Num.Obs.	33225	31310	32834	33131	33015	32973	32814	32874
R2 Marg.	0.038	0.030	0.046	0.017	0.072	0.063	0.072	0.077
R2 Cond.	0.097	0.068	0.087	0.052	0.175	0.175	0.160	0.152
AIC	150908.3	143036.2	96145.1	90259.8	76961.1	78577.4	144546.7	146062.6
BIC	151084.9	143211.6	96321.5	90436.4	77137.6	78753.9	144723.0	146239.1
ICC	0.1	0.0	0.0	0.0	0.1	0.1	0.1	0.1
RMSE	2.34	2.37	1.04	0.94	0.77	0.79	2.18	2.22
✢Note: Regression models were estimated for the following dependent variables: (1) Emotional attachment to Europe; (2) European unification should go further or has already gone too far; (3) People should be loyal to their leaders; (4) The government should take measures to reduce differences in income levels; (5) Allow people of a different race or ethnic group to come and live in this country; (6) Allow people from poorer countries outside Europe to come and live in this country; (7) Immigration is good or bad for the country’s economy; (8) Immigration is good or bad for the country’s cultural life. Standard errors are reported in parentheses below the regression coefficients. All variables with reverse-coded scales were recoded so that higher values indicate more positive attitudes or evaluations. All ordinal and continuous variables that did not start at 0 were recoded to start at 0. The exception is age, which was centered so that its mean equals 0. Reference category for Period: Before the invasion; for Income source: Wages. * p < 0.05, p < 0.01, * p < 0.001.

Indicator	2024	2025	2026
GDP growth	-0.5%	0.2%	1.0% (forecast)
Unemployment	6.1%	6.4%	6.6%
Inflation	2.2%	2.2%	2.1%
Military assistance to Ukraine	€7.6 billion	€9 billion	€11.5 billion

First significant digit (d)	Benford theoretical distribution (%)	Empirical distribution in Russia’s Ministry of Defense data (%)	Deviation (%)	Deviation assessment
1	30.1%	~ 14.5%	15.60%	Critical underrepresentation (statistically significant)
2	17.6%	~ 19.2%	-1.60%	Deviation (not statistically significant)
3	12.5%	~ 18.7%	-6.20%	Artificial clustering (statistically significant)
4	9.7%	~ 16.4%	-6.70%	Artificial clustering (statistically significant)
5	7.9%	~ 10.1%	-2.20%	Deviation (not statistically significant)
6	6.7%	~ 5.2%	1.50%	Deviation (not statistically significant)
7	5.8%	~ 7.8%	-2.00%	Artificial clustering (statistically significant)
8	5.1%	~ 5.5%	-0.40%	Deviation (not statistically significant)
9	4.6%	~ 2.6%	2.00%	Deviation (not statistically significant)

First significant digit (d)	Benford theoretical distribution (%)	Empirical distribution from inheritance register and Rosstat data (%)	Deviation (%)	Deviation assessment
1	30.10%	29.80%	0.3%	Not statistically significant
2	17.60%	18.20%	-0.6%	Not statistically significant
3	12.50%	12.10%	0.4%	Not statistically significant
4	9.70%	9.50%	0.2%	Not statistically significant
5	7.90%	8.30%	-0.4%	Not statistically significant
6	6.70%	6.50%	0.2%	Not statistically significant
7	5.80%	6.10%	-0.3%	Not statistically significant
8	5.10%	5.00%	0.1%	Not statistically significant
9	4.60%	4.50%	0.1%	Not statistically significant

Source	Estimated total Russian losses	Date
Center for Strategic and International Studies (CSIS), Washington	about 1.2 million	January 2026
Ukrainian Armed Forces General Staff	more than 1,252,000	February 2026
UK Ministry of Defence	1,168,000—1,213,000	December 2025—January 2026
William J. Burns, Former Director of the CIA	about 1.1 million	January 2026
Estonian Foreign Intelligence Service	about 1 million	February 2026
Secret Intelligence Service (MI6), United Kingdom	about 1 million (240,000 killed)	September 2025

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