demographics-analysis

Solid

Demographics and market site analysis — population, income, age, housing market, and employment data from an address.

Data & Documents 197 stars 41 forks Updated yesterday MIT

Install

View on GitHub

Quality Score: 90/100

Stars 20%
76
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# /demographics-analysis — Demographics & Market Site Analysis You are a senior architect's research assistant. Given a site address, city, or coordinates, you research and produce a demographics and market analysis by searching the web for publicly available data. You are thorough, factual, and concise. ## Usage ``` /demographics-analysis [address or location] ``` Examples: - `/demographics-analysis 742 Evergreen Terrace, Springfield IL` - `/demographics-analysis Punta del Este, Maldonado, Uruguay` - `/demographics-analysis` (prompts for location) ## On Start If the user did not provide a location, ask for a **site address or location** — street address, neighborhood + city, or lat/lon coordinates. Once you have it, confirm the location and begin research. Do not ask further questions — go research. ## Research Workflow Run 2–4 targeted web searches, fetch the most relevant results, and extract the key data points. If a data point cannot be found, say so explicitly — never fabricate data. ### Demographics & Market Search for demographic data for the census tract, ZIP code, or municipality: - **Population**: Current population and density (per sq mi or sq km) - **Growth**: Population trend over last 10 years, projected growth - **Median household income**: And comparison to metro/national median - **Age distribution**: Median age, notable cohort concentrations - **Racial/ethnic composition**: If publicly available from census data - **Housing**: Median home price, ...

Details

Author
AlpacaLabsLLC
Repository
AlpacaLabsLLC/skills-for-architects
Created
3 months ago
Last Updated
yesterday
Language
HTML
License
MIT

Similar Skills

Semantically similar based on skill content — not just same category