Language proficiency of the population by nationality, Sakhalin Region

checked 22.10.2026 · snapshot · rows: 119 · periods: 12 · section: Results of the All-Russian Population Census (тав и владение языками)

445773 residents of the Sakhalin Oblast participated in the 2020 Census, responding to questions on language proficiency. Table rows are categorized by nationality, showing the distribution of language speakers across various ethnic groups in the region. Columns detail proficiency in specific languages, ranging from state to foreign languages; of the 445773 total respondents, 17163 did not specify their nationality

how it will look

Set in numbers

Rosstat data. Rows: 119, indicators: 12. Breakdown by items: Those who indicated language proficiency; Languages of proficiency indicated by the population; English; Russian; Russian Sign Language for the deaf and others

Five highest values: Languages of proficiency indicated by the population (477 476), Those who indicated language proficiency (445 773), Russian (445 523), Persons whose census forms [indicated] language prof... (20 836), English (16 211). The gap between the highest and lowest is 43 407 times. The top five account for 99.1% of the total across all items — the distribution is heavily skewed towards the top

All table numbers are series: 119

Series	Все население	Указавшие национальную принадлежность	из них — Русские	из них — Корейцы	из них — Украинцы	из них — Татары	из них — Киргизы	из них — Нивхи	из них — Узбеки	из них — Армяне	из них — Другие национальности	Национальная принадлежность не указана
Хакасский	20,00	20,00	1,00	—	—	—	—	—	—	—	19,00	—
Хинди	5,00	5,00	4,00	1,00	—	—	—	—	—	—	0,00	—
Цахурский	8,00	8,00	—	—	—	—	—	—	—	—	8,00	—
Цыганский	27,00	27,00	6,00	—	—	—	—	—	—	—	21,00	—
Чеченский	76,00	76,00	3,00	—	—	—	—	—	—	—	73,00	—
Чешский	9,00	9,00	7,00	1,00	1,00	—	—	—	—	—	0,00	—
Чувашский	86,00	85,00	8,00	—	—	1,00	—	—	—	—	76,00	1,00
Шведский	3,00	3,00	3,00	—	—	—	—	—	—	—	0,00	—
Эвенкийский	38,00	38,00	1,00	—	—	—	—	—	—	—	37,00	—
Эвенский	1,00	1,00	—	—	—	—	—	—	—	—	1,00	—
Эрзя-мордовский	2,00	2,00	—	—	—	—	—	—	—	—	2,00	—
Эскимосский	1,00	1,00	—	—	—	—	—	—	—	—	1,00	—
Эстонский	8,00	8,00	5,00	—	—	—	—	—	—	—	3,00	—
Югский	1,00	1,00	1,00	—	—	—	—	—	—	—	0,00	—
Юкагирский	3,00	3,00	—	—	—	—	—	—	—	—	3,00	—
Якутский	37,00	37,00	5,00	—	—	—	—	—	—	—	32,00	—
Японский	486,00	474,00	382,00	47,00	5,00	3,00	—	—	—	1,00	36,00	12,00
Указавшие другие языки (не перечисленные выше)	56,00	35,00	18,00	2,00	1,00	0,00	0,00	0,00	0,00	0,00	14,00	21,00
Лица, в переписных листах которых владение языками не указано	20 836,00	4 266,00	3 968,00	86,00	24,00	9,00	37,00	4,00	17,00	8,00	113,00	16 570,00

How to read this table

Rows list the nationalities represented in the region and include specific categories for those proficient in particular languages, including English. Data can be compared across different nationalities or within groups to assess the prevalence of language skills. The table covers the entire population of the oblast, including groups identified during the processing of the 2020 Census results

What is visible in these numbers

What is measured: Total population; Those who indicated nationality; of whom — Russians; of whom — Koreans; of whom — Ukrainians; of whom — Tatars; of whom — Kyrgyz; of whom — Nivkhs; of whom — Uzbeks; of whom — Armenians; of whom — Other nationalities; Nationality not indicated

There are 240 values in the table out of 300 possible, which is 80%. Small gaps remain where an item was not observed in all periods

More in the section Results of the All-Russian Population Census»

Period and application

Data were obtained during the 2020 All-Russian Population Census and reflect the population composition of the Sakhalin Oblast at that time. This data is used by linguists, sociologists, and demographers to study the region's ethnocultural landscape. The information is presented in the final fifth volume of the census results, published by Rosstat for public access and further analysis of language competency structures among residents of the island region

How it is calculated

The linguistic composition of the region directly affects the language used for signage, interfaces, and support

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