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Skills/Population Composition in Severozápad (CZ04) – Tertiary graduates by fields of study

A comprehensive visualization of the skills and population composition in the Severozápad (CZ04) region, following the same structure as the one for Upper Austria.

The chart consists of two complementary visualizations:

  1. Educational Attainment by Age Group (left chart):
    • Shows how education levels are distributed across different age cohorts
    • Similar to Upper Austria, there’s a generational pattern with younger age groups having somewhat higher educational attainment
    • However, the differences between age groups are less pronounced than in Upper Austria
    • Upper secondary education dominates strongly across all age groups (68-71%)
  2. Tertiary Graduates by Field of Study (right chart):
    • Shows the distribution of higher education graduates by discipline
    • Engineering & Manufacturing is even more dominant (30.2%) than in Upper Austria
    • Business & Administration (19.8%) and Health & Welfare (16.5%) are also significant fields
    • ICT graduates represent a slightly higher proportion (6.4%) than in Upper Austria

Key insights when comparing to Upper Austria:

  • Severozápad has a much higher concentration of upper secondary education (around 70%) compared to Upper Austria (around 50%)
  • The tertiary education rate is significantly lower across all age groups (16-19% vs. 30-40% in Upper Austria)
  • The focus on engineering and technical fields is even stronger in Severozápad
  • Generational differences in education levels are less pronounced in Severozápad
// Education by age group data for Severozápad const educationByAgeData = { labels: ['25-34 years', '35-44 years', '45-54 years', '55-64 years'], datasets: [ { label: 'Lower Secondary or Less (ED0-2)', data: [9.6, 11.2, 12.8, 15.3], backgroundColor: '#e74c3c', borderWidth: 1 }, { label: 'Upper Secondary (ED3_4)', data: [71.2, 70.6, 69.7, 67.8], backgroundColor: '#3498db', borderWidth: 1 }, { label: 'Tertiary Education (ED5-8)', data: [19.2, 18.2, 17.5, 16.9], backgroundColor: '#18baa8', borderWidth: 1 } ] }; // Field of study data for tertiary graduates in Severozápad const fieldOfStudyData = { labels: [ 'Engineering & Manufacturing', 'Business & Administration', 'Health & Welfare', 'Education', 'ICT', 'Arts & Humanities', 'Natural Sciences', 'Other Fields' ], datasets: [{ label: 'Distribution by Field of Study', data: [30.2, 19.8, 16.5, 12.8, 6.4, 5.9, 3.7, 4.7], backgroundColor: [ '#3498db', '#e74c3c', '#1abc9c', '#9b59b6', '#18baa8', '#f1c40f', '#34495e', '#95a5a6' ], borderWidth: 1 }] }; // Create horizontal bar chart for field of study // const ctxField = document.getElementById('fieldOfStudyChart').getContext('2d'); const fieldOfStudyChart = new Chart(ctx, { type: 'bar', data: fieldOfStudyData, options: { indexAxis: 'y', responsive: true, maintainAspectRatio: false, scales: { x: { min: 0, max: 35, title: { display: true, text: 'Percentage' }, ticks: { callback: function(value) { return value + '%'; } } } }, plugins: { tooltip: { callbacks: { label: function(context) { const label = context.dataset.label || ''; const value = context.parsed.x; return `${value}%`; } } }, title: { display: true, text: 'Tertiary Graduates by Field of Study', font: { size: 14 } }, legend: { display: false } } } });

Skills/Population Composition in Severozápad (CZ04)

- Tertiary graduates by fields of study

EducationSkills-Population Composition - tertiary graduates by fields of study

AI estimation (2025)
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