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Russian Banking and Consumer Trends
Finance & Banking Analytics
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About
Presents essential banking and consumer metrics collected from 84 Russian regions spanning six years, from early 2013 through to early 2019. The information originates from the open data resources of PJSC Sberbank, a prominent, state-owned Russian banking and financial services institution. It offers detailed pivot information suitable for analysing regional economic dynamics, including key indicators such as loan application rates, average deposits, typical salaries and pensions, and spending habits across various consumer segments, including fast-food and restaurant formats.
Columns
The data structure consists of four principal fields, containing approximately 74.8 thousand valid records:
- name: Specifies the metric being tracked. Examples include ‘The number of applications for consumer loans’, ‘Average salary’, ‘Average spending on cards’, and ‘Average check in Restaurant format’. There are 15 unique types of information provided.
- region: Identifies the geographical location within Russia where the metric applies. The data covers 84 distinct Russian regions.
- date: Indicates the time point for the recorded metric, ranging from 15 January 2013 to 15 January 2019.
- value: The quantitative measurement corresponding to the metric defined in the ‘name’ column. Values range from a minimum of 1 to a maximum exceeding 6.6 million.
Distribution
The dataset is structured as a data file, typically suitable for CSV format, with a file size of 5.19 MB. It includes roughly 74.8 thousand valid records and is available for download as df.csv.
Usage
This data is ideal for economic forecasting, regional trend analysis, and predictive modeling studies focused on Russian financial markets. It offers an opportunity to explore and explain regional disparities in consumer behaviour, such as differences in consumer loan uptake versus mortgage applications, or spending patterns across different dining formats. Researchers may use it to investigate the link between reported economic factors like average salary and pension amounts and resulting banking activity.
Coverage
The geographic scope includes 84 distinct regions across Russia. The dataset’s temporal coverage is extensive, running from January 2013 (specifically 15 January 2013) until January 2019 (specifically 15 January 2019). The data focuses on core financial and consumer metrics supplied by a major Russian bank.
License
CC0: Public Domain
Who Can Use It
Intended users include financial analysts, data scientists developing predictive economic models, market researchers tracking changes in Russian consumer expenditure, and economists studying regional financial stability in emerging markets.
Dataset Name Suggestions
- Sberbank Regional Financial Metrics (2013-2019)
- Russian Banking and Consumer Trends
- Regional Russian Economic Indicators Data
Attributes
Original Data Source: Russian Banking and Consumer Trends
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