MBI Sociodemographic Data for Belarus

MBI's sociodemographic data is available for many countries worldwide. All data comes from a single source, ensuring consistency and comparability across markets. Depending on the country, different variables are available. For most European countries, the latest population, gender, age structure (15-year age bands), unemployment, and household figures, as well as consumer style data, are included. In many regions, we also provide additional variables such as households by income quintile, education, household type, and marital status.

The specific variables currently available for Belarus can be found in the Data Dictionary below. If a variable you need is not listed, feel free to reach out – we may be able to find a solution together.

The data offered on this site are sociodemographic data at the postal code level. This fine-grained level of detail makes the data suitable for a wide range of applications – for example, enriching customer databases, which are often organized by postal code. Additional geographic levels are available for most countries upon request.MBI’s sociodemographic data supports informed decision-making wherever a clear understanding of the market is needed. It is especially valuable for use cases such as:

- Quantify regional sales opportunities / market potentials
- Focus on marketing activities locally
- Controlling: Formulate realistic and quantified objectives
- Identify unused market potential
- Restructure and optimize market and sales areas
- Site planning: Develop expansion strategies
- Evaluate areas for strengths and weaknesses
- Map marketing campaigns

原始信息汇总

MBI Sociodemographic Data for Belarus

概述

• 提供者：Michael Bauer International GmbH
• 试用：免费试用
• 数据级别：邮政编码级别
• 数据一致性：单一来源，确保跨市场一致性和可比性
• 覆盖国家：全球多国，白俄罗斯为其中之一

数据内容

• 主要变量：人口、性别、年龄结构（15岁年龄组）、失业率、家庭数据、消费者风格数据
• 可选变量：按收入五分位数划分的家庭、教育、家庭类型、婚姻状况
• 数据表名：MBI_MARKETDATA_2024_BY_POSTCODES4_SOCIO

商业需求

• 市场分析：量化区域销售机会/市场潜力
• 需求预测：基于人口特征设定数据驱动的销售目标
• 位置规划：评估目标区域的社会人口结构
• 360度客户视图：结合客户数据获得全面客户洞察
• 位置数据丰富：丰富地理数据集

数据字典

• 列名：
  • CTRYCODE (Varchar)
  • POSTCODE (Varchar)
  • NAME (Varchar)
  • P_T (Number)
  • P_PRM (Number)
• 示例数据：
  • BY, 2241, Berezovskiy rayon, 99388, 10.7480206222540
  • BY, 2255, Stolinskiy rayon, 69177, 7.4809415883772
  • BY, 2257, gorod Pinsk, 163443, 17.6750587049040

使用示例

• SQL查询示例： sql SELECT * FROM SOCIO."MBI_MARKETDATA_2024_BY_POSTCODES4_SOCIO";

技术细节

• 刷新频率：每年
• 时间覆盖：2024年1月1日 - 2025年12月31日
• 地理覆盖：白俄罗斯（按邮政编码）
• 云区域可用性：AWS多个区域

联系信息

• 销售与支持：[e-mail]

其他相关数据集

• MBI Sociodemographic Data for Bulgaria
• MBI Sociodemographic Data for Albania
• MBI Sociodemographic Data for Bosnia and Herzegovina
• MBI Sociodemographic Data for Romania
• MBI Sociodemographic Data for Germany
• MBI Sociodemographic Data for Poland

搜集汇总

背景与挑战

背景概述

该数据集提供白俄罗斯邮政区号级别的社会人口统计数据，包括人口结构、失业率、家庭特征等核心变量，适用于市场潜力评估、营销活动优化等商业分析场景。数据来源统一，支持跨地区比较，并可根据需求扩展地理层级。