Banking crisis dummy (1=banking crisis, 0=none), annual growth rate by country
The year-on-year percentage change in Banking crisis dummy (1=banking crisis, 0=none). Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
What the numbers show
Banking crisis dummy (1=banking crisis, 0=none), annual growth rate is currently reported for 54 countries. The highest value is 0 % change on previous year in Ukraine; the lowest is -100 % change on previous year in Ireland.
The median across all reporting countries is -100 % change on previous year, and the mean is -96.3 % change on previous year.
Banking crisis dummy (1=banking crisis, 0=none), annual growth rate: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Ukraine | 0 % change on previous year | 2017 | — | volatile |
| 1 | Guinea-Bissau | 0 % change on previous year | 2017 | — | volatile |
| 3 | Portugal | -100 % change on previous year | 2013 | — | volatile |
| 3 | Japan | -100 % change on previous year | 2002 | — | volatile |
| 3 | Kyrgyzstan | -100 % change on previous year | 2000 | — | volatile |
| 3 | Liberia | -100 % change on previous year | 1996 | — | volatile |
| 3 | Luxembourg | -100 % change on previous year | 2013 | — | volatile |
| 3 | Latvia | -100 % change on previous year | 2013 | — | volatile |
| 3 | Morocco | -100 % change on previous year | 1985 | — | volatile |
| 3 | Mexico | -100 % change on previous year | 1997 | unchanged | volatile |
| 3 | Mali | -100 % change on previous year | 1992 | — | volatile |
| 3 | Mozambique | -100 % change on previous year | 1992 | — | volatile |
| 3 | Nigeria | -100 % change on previous year | 2013 | — | volatile |
| 3 | Nicaragua | -100 % change on previous year | 2002 | — | volatile |
| 3 | Philippines | -100 % change on previous year | 2002 | unchanged | volatile |
| 3 | Iceland | -100 % change on previous year | 2013 | — | volatile |
| 3 | Sierra Leone | -100 % change on previous year | 1995 | — | volatile |
| 3 | Slovakia | -100 % change on previous year | 2003 | — | volatile |
| 3 | Slovenia | -100 % change on previous year | 2013 | — | volatile |
| 3 | Sweden | -100 % change on previous year | 2010 | unchanged | volatile |
| 3 | Eswatini | -100 % change on previous year | 2000 | — | volatile |
| 3 | Chad | -100 % change on previous year | 1997 | unchanged | volatile |
| 3 | Thailand | -100 % change on previous year | 2001 | — | volatile |
| 3 | Turkey | -100 % change on previous year | 2002 | — | volatile |
| 3 | Uruguay | -100 % change on previous year | 2006 | — | volatile |
| 3 | United States | -100 % change on previous year | 2012 | — | volatile |
| 3 | Venezuela | -100 % change on previous year | 1999 | — | volatile |
| 3 | Zimbabwe | -100 % change on previous year | 2000 | — | volatile |
| 3 | Czechia | -100 % change on previous year | 2001 | — | volatile |
| 3 | Austria | -100 % change on previous year | 2013 | — | volatile |
| 3 | Burundi | -100 % change on previous year | 1999 | — | volatile |
| 3 | Belgium | -100 % change on previous year | 2013 | — | volatile |
| 3 | Benin | -100 % change on previous year | 1993 | — | volatile |
| 3 | Burkina Faso | -100 % change on previous year | 1995 | — | volatile |
| 3 | Bosnia and Herzegovina | -100 % change on previous year | 1997 | — | volatile |
| 3 | Brazil | -100 % change on previous year | 1999 | — | volatile |
| 3 | Chile | -100 % change on previous year | 1986 | unchanged | volatile |
| 3 | Cote d'Ivoire | -100 % change on previous year | 1993 | — | volatile |
| 3 | Cameroon | -100 % change on previous year | 1998 | — | volatile |
| 3 | Costa Rica | -100 % change on previous year | 1996 | — | volatile |
| 3 | Cyprus | -100 % change on previous year | 2016 | — | volatile |
| 3 | Argentina | -100 % change on previous year | 2004 | unchanged | volatile |
| 3 | Djibouti | -100 % change on previous year | 1996 | — | volatile |
| 3 | Algeria | -100 % change on previous year | 1995 | — | volatile |
| 3 | Ecuador | -100 % change on previous year | 2003 | — | volatile |
| 3 | Spain | -100 % change on previous year | 2013 | — | volatile |
| 3 | Finland | -100 % change on previous year | 1996 | — | volatile |
| 3 | United Kingdom | -100 % change on previous year | 2012 | — | volatile |
| 3 | Georgia | -100 % change on previous year | 1996 | — | volatile |
| 3 | Greece | -100 % change on previous year | 2013 | — | volatile |
| 3 | Haiti | -100 % change on previous year | 1999 | — | volatile |
| 3 | Hungary | -100 % change on previous year | 2013 | — | volatile |
| 3 | Indonesia | -100 % change on previous year | 2002 | — | volatile |
| 3 | Ireland | -100 % change on previous year | 2013 | — | volatile |
How this figure is calculated
The year-on-year percentage change in Banking crisis dummy (1=banking crisis, 0=none). Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
Computed from
- Banking crisis dummy Luc Laeven and Fabián Valencia, 2012. “Systemic Banking Crises Database: An Update”, IMF Working Paper WP/12/163
Statizoid computes this series; the underlying measurements belong to the publishers named above. The arithmetic is applied to every country and year where both inputs report, and nothing is estimated unless the page says so.
About this data
The year-on-year percentage change in Banking crisis dummy (1=banking crisis, 0=none). Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.