adding france demographics data

[balit-raibot]

No description provided.

[gemini-code-assist]

Summary of Changes

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This pull request integrates extensive demographic data for France and its metropolitan region. It expands the available statistical variables to include annual population changes, detailed age distributions, and average/median age metrics, enabling more comprehensive demographic analysis and reporting.

Highlights

• Annual Population Data: Added comprehensive annual population statistics for France and metropolitan France, including birth and mortality counts, population growth rates, and mean population figures spanning various years.
• Age Demographics: Introduced new datasets detailing the average and median age of the population, broken down by gender, for both France and metropolitan France, offering insights into the demographic age structure.
• Population by Age Group: Included population data categorized by sex and predefined age groups (e.g., 0-14, 15-19, 20-59, 60-64, 65-74, and 75+ years) for France and metropolitan France.
• Detailed Age Distribution: Provided granular population data by sex for each individual age year from 0 to 105 and over, allowing for highly specific analysis of age distribution in France and metropolitan France.
• Metadata and Schema Definitions: Generated all necessary metadata files, property-value maps, and statistical variable definitions (MCF/TMCF) to ensure proper integration and interpretation of these new demographic datasets within the system.

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[gemini-code-assist]

Code Review

This pull request adds a significant amount of demographic data for France, including configurations for annual population, age statistics, and population breakdowns by sex and age. The changes are comprehensive, but I've identified several issues related to data mapping, consistency, and typos in the configuration and data files. These include incorrect property-value map keys, typos in country codes, and inconsistencies in data files that could lead to import failures or incorrect data. Addressing these points will improve the robustness and maintainability of the new data imports.