MBI Purchasing Power Data for Luxembourg Postcode Level
收藏资源简介:
Unlock detailed insights into consumer potential with MBI’s purchasing power data, available for a wide range of countries worldwide. With all data provided from a single source, you ensure consistency, comparability, and seamless integration across regions. MBI’s purchasing power data represents the disposable income available to consumers – a key indicator for evaluating market potential. In Luxembourg, this data reflects the consumption capacity within 4-digit postal code areas, providing a comprehensive view of local consumer potential and economic strength. **Data Structure:** Purchasing power data for Luxembourg comprises the following variables: - CTRYCODE Two digit country code by ISO 3166 - POSTCODE Postal code - NAME Name of administrative area / Name of the most populous administrative area / Name of the respective micro-area or the next higher level - P_T Population (Nighttime) year average: total number - P_PRM Population (Nighttime) year average: per mill of country - PP_MIO Purchasing Power: in million Euros - PP_PRM Purchasing Power: per mill of country - PP_EURO Purchasing Power: Euro per capita - PP_CI Purchasing Power: index (country eq. 100) This data is highly valuable wherever a clear understanding of the market is needed. It is especially valuable for business needs such as geomarketing, market and customer analysis as well as site planning. The fine-grained level of detail on the postcode level 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 Purchasing Power Data for Luxembourg Postcode Level
概述
MBI提供的卢森堡购买力数据,用于在卢森堡4位邮政编码级别进行基于数据的决策。数据反映消费者的可支配收入,是评估市场潜力的关键指标。
数据结构
卢森堡购买力数据包含以下变量:
CTRYCODE: 两位国家代码(ISO 3166)POSTCODE: 邮政编码NAME: 行政区域名称P_T: 人口总数(夜间平均值)P_PRM: 人口占比(国家千分比)PP_MIO: 购买力(百万欧元)PP_PRM: 购买力占比(国家千分比)PP_EURO: 人均购买力(欧元)PP_CI: 购买力指数(国家基准为100)
商业需求
- 市场分析: 识别未开发的市场潜力,基于可支配收入水平精确量化区域销售机会。
- 需求预测: 利用购买力趋势设定数据驱动的销售和绩效目标。
- 位置规划: 通过评估目标区域的购买力制定有效的扩展策略。
- 360度客户视图: 结合购买力数据和内部客户洞察,更好地理解购买行为和区域消费差异。
- 位置数据丰富: 通过购买力指标增强地理数据集,优化区域业务策略。
数据字典
表名: MBI_MARKETDATA_2024_LU_POSTCODES4_PURCHASING
使用示例
sql SELECT * FROM PURCHASING."MBI_MARKETDATA_2024_LU_POSTCODES4_PURCHASING";
时间覆盖
2024年1月1日至2024年12月31日(年度更新)
地理覆盖
卢森堡(国家级别)
云区域可用性
AWS
- Africa (Cape Town)
- Asia Pacific (Jakarta)
- Asia Pacific (Mumbai)
- Asia Pacific (Osaka)
- 45 More
提供商
Michael Bauer International GmbH
联系方式
- 销售: info@mbi-geodata.com
- 支持: info@mbi-geodata.com



