## figure1-4 (dataset overview)

## Source details

**Canonical URL:** [figure1-4 (dataset overview)](https://www.imf.org/-/media/files/publications/gfsr/2019/april/english/ch1data/ch1csv/figure1-4.csv)

## Other formats

- [Markdown version](/-/media/files/publications/gfsr/2019/april/english/ch1data/ch1csv/figure1-4.csv.md)
- [Structured JSON version](/-/media/files/publications/gfsr/2019/april/english/ch1data/ch1csv/figure1-4.csv.json)

---

### Dataset summary
- Worksheet count: 1
- Worksheet name: "csv"
- Row count: 185
- Column count: 12

### Purpose / caption present in the file
- "1. Proportion of GDP of Systemically Important Countries with Elevated Vulnerabilities, by Sector"
- "(Percentage of countries in sample with high and medium-high vulnerabilities by GDP [assets for banks]; number of vulnerable countries in parentheses)"

### Column headers (as recorded)
- "Figure 1.4. Global Financial Vulnerabilities"
- ""
- ""
- ""
- ""
- ""
- ""
- ""
- ""
- ""
- ""
- ""

### Notable header row content (verbatim)
- "", "", "Latest", "", "Previous", "", "GFC", "", "Shading", "", "", ""

### Sample data rows (verbatim)
- "8", "Sovereign", "", "51", "", "", "", "", "", "100", "100", "100"
- "", "", "", "51", "", "", "", "", "", "100", "", ""
- "", "", "", "51", "", "", "", "", "", "100", "", ""

### Key structural observations (from supplied content only)
- The file includes textual labels describing the figure and methodology for vulnerability measurement.
- Several columns in the supplied sample are empty strings, indicating reserved or blank columns in the CSV layout.
- Numeric values appearing in the sample rows are: 8, 51, 100 (each preserved exactly as presented).

*Source: figure1-4 (CSV worksheet "csv", 185 rows, 12 columns)*

---


_Source: https://www.imf.org/-/media/files/publications/gfsr/2019/april/english/ch1data/ch1csv/figure1-4.csv_