## figure1-3

## Source details

**Canonical URL:** [figure1-3](https://www.imf.org/-/media/files/publications/gfsr/2018/april/ch1/csv/figure1-3.csv)

## Other formats

- [Markdown version](/-/media/files/publications/gfsr/2018/april/ch1/csv/figure1-3.csv.md)
- [Structured JSON version](/-/media/files/publications/gfsr/2018/april/ch1/csv/figure1-3.csv.json)

---

### Dataset scope and structure
- Worksheet name: "csv"
- Row count: 58
- Column count: 15
- Primary labeled sections (as present in the header rows):
  - "Figure 1.3. Nonfinancial Private Sector Debt"
  - "1. Credit-to-GDP Ratio"
    - Unit indicated: "(Percentage points)"
  - "2. House Prices and Credit, 2017:Q3"
- Group headings appearing in the dataset:
  - "Advanced econimes hit by a crisis in 2007-08"
  - "Emerging market economies (excluding China)"
  - "China"
  - "Advanced economies with a crisis in 2007-8"

### Variables and column headings (as present)
- Dates (sample format): "12/31/1970"
- Credit-to-GDP related fields:
  - "Credit-to-GDP (percent)"
- House price related fields:
  - "Real house price growth (percent, year over year)"
- Country identifier (sample): "CZE"

### Sample data points (preserved exactly as in the file)
- Row with date "12/31/1970":
  - "89.16"
  - "25.08"
  - ""
  - "114.45"
- Country sample row (country code "CZE"):
  - "CZE"
  - "89.10"
  - "6.43"
  - ""
  - ""

### Key statistics and numeric fidelity (from sample rows)
- Row count: 58
- Column count: 15
- Date sample: "12/31/1970"
- Numeric samples:
  - "89.16"
  - "25.08"
  - "114.45"
  - "89.10"
  - "6.43"

### Use cases and interpretations (dataset characteristics)
- Intended for analysis of nonfinancial private sector debt, comparing credit-to-GDP ratios and real house price growth across economy groups and individual economies (sample shows "CZE").
- Contains time-stamped series (dates in MM/DD/YYYY format) and cross-sectional indicators for credit and house prices (percent and percent, year over year).

*Source: figure1-3 CSV worksheet "csv" (rowCount 58, columnCount 15).*

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_Source: https://www.imf.org/-/media/files/publications/gfsr/2018/april/ch1/csv/figure1-3.csv_