# Eurostat Demographics MCP

> Eurostat Demographics — EU Population & Labor provides comprehensive data on the European Union's demographics and labor market. Get statistics on population by age, monthly unemployment rates, employment indices, migration flows across citizenship types, life expectancy figures, and statutory minimum wages for all 27 member states.

## Overview
- **Category:** human-resources
- **Price:** Free
- **Tags:** demographics, labor-market, unemployment-rates, migration-data, population-statistics, life-expectancy

## Description

This MCP pulls together official EU demographic and labor intelligence from Eurostat. You can quickly analyze how populations shift over time, comparing metrics like life expectancy to current unemployment rates in specific countries. It’s built for researchers who need deep, macro-level data—think tracking the North-South divide in youth employment or mapping wage gaps against overall population structure. Instead of juggling multiple data sources and APIs, your agent can pull together diverse datasets, letting you focus on the insights. When you connect this to Vinkius, it gives your AI client access to a massive catalog of tools, so you don't have to worry about finding where the necessary demographic metrics live. You simply ask for the comparison, and the MCP handles pulling data points like minimum wages alongside employment rates.

## Tools

### get_population
Retrieves the total population count, filtered specifically by country, age bracket, and gender.

### get_unemployment
Gathers monthly unemployment rates for EU countries, with a key focus on youth joblessness among those under 25.

### get_employment
Gets labor market data including employment rate indicators and indices measuring overall labor costs.

### get_migration
Provides comprehensive figures detailing immigration and emigration flows, categorized by the originating citizenship.

### get_life_expectancy
Calculates life expectancy at birth for specific EU countries, broken down by gender.

### get_minimum_wages
Returns the current statutory minimum wage levels reported in EUR/month across various EU member states.

## Prompt Examples

**Prompt:** 
```
What is the youth unemployment rate across EU countries?
```

**Response:** 
```
👥 **Youth Unemployment (Under 25)**

Highest: Spain 27.4%, Greece 24.1%, Italy 21.3%
EU average: 14.5%
Lowest: Germany 5.8%, Netherlands 6.2%, Czechia 6.9%

The North-South divide in youth employment persists.
```

**Prompt:** 
```
Compare minimum wages across the EU
```

**Response:** 
```
💶 **EU Minimum Wages (EUR/month)**

🔝 Luxembourg: €2,571
🇳🇱 Netherlands: €2,070
🇩🇪 Germany: €2,054
🇫🇷 France: €1,767
🇪🇸 Spain: €1,323
...
🇧🇬 Bulgaria: €477

⚠️ No statutory minimum: Denmark, Finland, Sweden, Austria, Italy (collective bargaining).
```

**Prompt:** 
```
What is the life expectancy in EU countries?
```

**Response:** 
```
🏥 **Life Expectancy at Birth**

Highest: 🇪🇸 Spain 84.0, 🇮🇹 Italy 83.8, 🇫🇷 France 82.5
EU average: 81.0
Lowest: 🇧🇬 Bulgaria 74.2, 🇷🇴 Romania 74.6, 🇱🇻 Latvia 75.3

Females average 5.4 years longer than males across EU.
```

## Capabilities

### Assess population structure
You can get detailed counts of residents by country, age group, and sex across all EU states.

### Analyze labor market health
The MCP retrieves monthly unemployment rates for the entire union, including a specific breakdown for youth.

### Track economic indicators
You get current employment rates and indices tracking general labor costs across member states.

### Examine demographic changes
It provides data on immigration and emigration, organized by the citizenship of the individuals involved.

### Compare national health metrics
You can compare life expectancy at birth across various EU countries and sexes.

### View wage standards
The MCP pulls the current statutory minimum wage levels reported in EUR/month for participating nations.

## Use Cases

### Comparing labor force entry barriers
A researcher needs to know if low national minimum wages are correlating with high youth joblessness. They run get_unemployment and cross-reference it against the data from get_minimum_wages, quickly identifying which countries might need targeted economic support.

### Analyzing post-pandemic labor shifts
A consultancy firm wants to know if recent migration patterns are stabilizing employment. They use get_migration alongside get_employment data to determine if incoming citizens are filling critical skill gaps in specific EU regions.

### Writing a report on aging populations
A policy analyst needs to model the strain on healthcare systems. They combine get_population (by age group) with get_life_expectancy figures to show exactly which demographic groups will require the most resources in twenty years.

### Investigating regional economic divergence
A journalist wants to prove that poorer nations have lower wage floors and worse health outcomes. They query get_minimum_wages for a list of countries, then cross-check those results with both get_life_expectancy and get_unemployment.

## Benefits

- Pinpoint demographic disparities: Use get_population to map how age-sex ratios differ between countries, which is critical for predicting future workforce size.
- Understand job market stress: Get the most watched indicator by running get_unemployment, specifically targeting youth unemployment rates (under 25) for policy analysis.
- Track economic stability: Combining get_employment and get_minimum_wages lets you analyze if wage growth is keeping pace with overall labor cost increases.
- Analyze demographic shifts: Running get_migration allows you to understand who is entering or leaving a country, directly tying into population change models.
- Compare national standards: You can compare life expectancy data using get_life_expectancy against economic metrics like unemployment rates in the same query.

## How It Works

The bottom line is you get cross-border, multi-metric European demographic and labor statistics without writing a single API call.

1. Direct your agent to compare two or more specific data points, such as youth unemployment and population age distribution.
2. The MCP calls the relevant tools to pull standardized datasets covering multiple EU countries into a single context window.
3. Your AI client synthesizes this raw data—for instance, calculating the difference between minimum wage levels in two nations—and provides the comparative answer.

## Frequently Asked Questions

**How does Eurostat Demographics use get_unemployment data?**
The get_unemployment tool provides monthly EU unemployment rates by country and age/sex. It’s especially useful for tracking youth joblessness among those under 25.

**Can I compare minimum wages using Eurostat Demographics MCP?**
Yes, the get_minimum_wages tool pulls statutory minimum wage levels in EUR/month across participating EU countries for direct comparison.

**Is the population data from get_population always up-to-date?**
The data is sourced from Eurostat and covers all 27 EU members plus EEA and candidate countries, providing reliable demographic snapshots.

**What does the MCP use to track migration flows?**
You use the get_migration tool. This gives you detailed data on immigration and emigration movements, categorized by citizenship type.