Population of the Chuvash Republic by native language
During the 2020 Census, residents of the Chuvash Republic reported their native language, with data categorized into various language groups. Table rows correspond to specific languages, such as Abazin, Avar, and others, illustrating the republic's linguistic diversity. Data is segmented into columns by settlement type—urban and rural population—to facilitate comparison of the linguistic landscape between urban and rural areas
Table: Chuvashia population by native language, urban and rural
Set in numbers
Rosstat data. Rows: 102, indicators: 3. Breakdown by positions: Those who indicated native language; Those who indicated native language — Abazin; Those who indicated native language — Avar; Those who indicated native language — Azerbaijani; Those who indicated native language — English and others
Five highest values: Those who indicated native language (1.1 million), Those who indicated native language — Armenian (798), Those who indicated native language — Azerbaijani (511), Those who indicated native language — Arabic (300), Those who indicated native language — Belarusian (114). The gap between the highest and lowest is 537,273 times. The top five account for 100% of the total across all positions — the distribution is heavily skewed towards the top
All table numbers are series: 102
How to read this table
Rows represent the various languages identified as native by respondents, showing the prevalence of major languages versus minority languages. Columns enable a comparison of native language speakers in urban versus rural settings, accounting for differences in population density and composition across these settlement types
What is visible in these numbers
Set indicators: Urban and rural population; Urban population; Rural population
Cells with numbers 75 out of 75 (100%) — almost no empty cells remain
More in the section Results of the All-Russian Population Census»
Period and application
Data is based on the 2020 All-Russian Population Census. The information is presented as a cross-sectional snapshot without time-series dynamics. These data are intended for use by ethnographers, sociologists, and policymakers to study the region's cultural composition and support language policy planning
How it is calculated
Census data on languages are needed for product localization and audience assessment of regional media
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