Wealth Segmentation of U.S. ZIP Codes Based on IRS Data

This dataset provides a wealth-tier classification of U.S. ZIP codes for high income brackets using IRS income data and multivariate KMeans clustering. It can help with regional targeting, CRM enrichment, market analysis, or any data science task that benefits from understanding high income distribution across the U.S.

💡 Source

• IRS SOI ZIP Code Data (open source)
• Aggregated across AGI brackets (stub 3–6)

🧠 What’s Inside

Each row represents a ZIP code with:

• AGI (A00100), Total Income (A00200)
• Capital Gains, Business Income, Tax Paid
• Cluster assignment (0–2)
• Wealth Tier label: Low, Medium, or High

The cluster assignments are refined using distance to cluster centroids in normalized feature space to improve accuracy.

💼 Use Cases

• Segmenting markets for B2B/B2C outreach
• CRM lead enrichment
• Territory planning and resource allocation
• Visualization and dashboard overlays

📬 Contact

Created by Namrata Nyamagoudar(LinkedIn) for open-source analysis and enrichment use cases.

Ideas about the political, economic and social development in the future.

Topics: fear of the future; importance of selected areas of life in the future; future more worth living in due to technology and science; thoughts about the future of the country; personal influence on the future; greatest dangers in the future; religious, philosophical and political value systems with increasing significance in the future; social groupings becoming more powerful in the Federal Republic; personal wish for the next 20 years; political power block with increasing significance in the future; peace strategy with greatest probabilities of success; estimate of time worked each week in the year 2000; technical further development and influences on the development of the job market (scale); attitude to flexible handling of working hours and leisure time; forms of investment, accumulation of assets and payment with prospects for future; type of energy with prospects for the future; assessment of the future energy need of industrial nations; development of energy prices; most important means of transport; new transport systems; the ocean as provider of raw material or energy; most important areas of threat to the environment; assumed change of environmental quality in the future; adequate environmental protection measures; form of school and instruction methods with increasing significance; vocational training or study as preferred alternatives; assessment of general political interest in the future; expectation of more leisure time and athletic activity for health reasons; types of sport with increasing numbers of supporters; expected increase of vacation in foreign countries or at home; means of vacation travel with the greatest chances for growth; obstacles for long-distance vacation travel; preferred offerings to strengthen the attractiveness of local recreational areas; estimated change of the share of vacation costs in household income in the future; reasons for vacation with increasing significance in the future; personal hobbies and hobbies with increasing significance; most important characteristics of the equipment of stores and demands when shopping in the future; world regions with strongly growing or declining future population figures; expected development of the desire for children in the future and average number of children; expected development of the problem of guest workers; future eating habits; biological or ecological or conventional agricultural production with chances for the future; most important sources of nutrition in the future; most healthful source of nutrition; development of nutrition habits; attitude to natural cosmetics; health complaints with increasing significance; expected development of the frequency of visits to the doctor and future conduct with minor complaints; primary causes for physical complaints in the future; judgement on the desirability of selected medical cures; expected increase of addiction and drug problems; judgement on the development of information technology; technical progress as advantage or disadvantage for humanity; trust in data protection; preferred form of housing in the future; preference for one´s own home in the country or city apartment; expected development of the housing supply; expected development of personal car use with increasing gas prices and increasing air pollution; party preference (Sunday question) and behavior at the polls in the last Federal Parliament election; employment in the civil service.

Also encoded were: ZIP (postal) code and identification of interviewer.