ColivingLiguria

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Demographic Analysis

4 min read

Abstract

The Demographic Analysis dashboard provides real-time insights into our applicant pool. This data helps us understand who’s interested in ColivingLiguria, enabling better community planning and resource allocation.

Demographic Analysis

Understanding our candidates is crucial. The demographics dashboard transforms raw application data into actionable insights, organized into six key analytical sections.

IMPORTANT

Critical Context: These statistics represent interested candidates who submitted our application form, not confirmed participants. The data shows expressions of interest and helps us understand trends in our applicant pool.

Accessing the Dashboard

Location: admin
Data Source: Live data from the Candidate Register System
Update Frequency: Real-time (updates with each new application)

Dashboard Sections

1. RIEPILOGO (Summary)

Four key metrics at a glance:

  • Total Candidates: Cumulative count of all applications received
  • Average Age: Mean age of applicants (helps with community composition planning)
  • Pet Owners: Number of candidates with pets (affects housing requirements)
  • Average Engagement: Combined score from likelihood, appreciation, and impact metrics

2. GENERE E ETÀ (Gender & Age)

Gender Distribution: Pie chart showing the breakdown by gender identity

  • Helps ensure diverse and balanced community composition
  • Tracks over time to identify demographic trends

Age Brackets: Bar chart with detailed age ranges

  • 12 brackets from <18 through 70+
  • Constant 5-year intervals for most of the range
  • Identifies which age groups are most interested

3. EDUCAZIONE E OCCUPAZIONE (Education & Occupation)

Education Level: Distribution across:

  • High School Diploma
  • Associate Degree
  • Bachelor’s Degree
  • Master’s Degree
  • PhD / Doctorate
  • Other / Prefer not to say

Current Occupation: Breakdown of professional status

  • Student
  • Employee
  • Freelancer / Independent
  • Unemployed
  • Remote Worker

These metrics help us:

  • Understand the educational background of our community
  • Plan workshops and learning opportunities
  • Match skill levels for collaborative projects

4. DIETA E STILE DI VITA (Diet & Lifestyle)

Dietary Preferences:

  • Omnivore, Vegetarian, Vegan, Pescatarian
  • Critical for meal planning and kitchen resource allocation

Candidate Types:

  • Volunteers (work exchange)
  • Digital Nomads (remote workers)
  • Tourists (short-term visitors)

Understanding these preferences allows us to:

  • Plan menu diversity
  • Allocate kitchen storage appropriately
  • Structure community roles and expectations

5. COMPETENZE E INTERESSI (Skills & Interests)

Top Volunteer Skills:

  • Gardening, Cooking, Cleaning, Teaching, Construction, Painting
  • Shows what candidates can contribute through volunteering

WhatsApp Team Interests:

  • Architecture & Design
  • Marketing & Social Media
  • Software & Data
  • Legal & Bureaucracy
  • Event Organization

This data helps us:

  • Form balanced working teams
  • Identify skill gaps to fill
  • Match candidates with existing needs

6. TIMELINE E COINVOLGIMENTO (Timeline & Engagement)

Join Timeline: Bar chart showing when candidates want to arrive

  • Visualizes demand across the next 12 months
  • Helps with capacity planning and resource scheduling

Engagement Scores (1-10 scale):

  • Join Likelihood: How likely they are to actually join
  • Appreciation: Their enthusiasm for the opportunity
  • Impact Potential: What they think they can contribute

These subjective metrics provide insight into candidate motivation and seriousness.

Data Interpretation Guidelines

What This Data Tells Us

✅ Trends: Are we attracting more volunteers or nomads?
✅ Demographics: What’s our age and education profile?
✅ Skills: Do we have the talent pool we need?
✅ Timeline: When should we prepare for arrivals?

What This Data Doesn’t Tell Us

❌ Commitment: Interest ≠ Confirmed participation
❌ Quality: Numbers don’t measure fit or compatibility
❌ Conversion Rate: Can’t predict how many will actually join

TIP

Best Practice: Use this data to inform decisions, not make them automatically. Each candidate deserves individual consideration regardless of whether they fit the “typical” profile.

Technical Implementation

Charts & Visualizations: All charts use the official ColivingLiguria color palette (see /Advertising/Aesthetics/Color Palette):

  • Primary actions: Deep Moss Green (#4A6741) / Light Sage (#8FA876)
  • Accents: Raw Sienna (#A67B5B) / Sandstone (#D4A373)
  • Neutral tones: Stone, Bark, Light Sand

Chart Types:

  • Pie Charts: Gender, Education, Diet, Types (shows distribution)
  • Bar Charts: Age brackets, Skills, Teams (shows magnitude)
  • Timeline Bars: Join months (shows temporal patterns)
  • Progress Bars: Engagement scores (shows intensity)

Responsive Design:

  • Adapts to screen size (mobile, tablet, desktop)
  • Light/Dark mode support
  • Maintains readability across all devices

Privacy & Ethics

All data displayed is aggregated and anonymized:

  • No individually identifiable information shown
  • Statistics computed from the full dataset
  • Compliance with Privacy Policy

We maintain transparency by:

  • Clearly labeling data as “interested candidates”
  • Explaining what metrics mean and don’t mean
  • Never using data to discriminate or exclude

Integration & Data Flow

graph TD
    A[Candidates submit /apply] -->|Data flows to| B[D1 Database]
    B -->|Queried by| C[/api/analytics]
    C -->|Processed data| D[Admin Dashboard]
    D -->|Visualized as| E[Charts & Stats]
    E -->|Informs| F[Community Planning]

Last Updated: 2025-11-29
Dashboard Version: 2.0
Maintained By: ColivingLiguria Software Team

Graph View