2.5.2 Number of transboundary breeds with unknown risk status — Value in Germany
Germany: 2.5.2 Number of transboundary breeds with unknown risk status — Value was 13 No in 2025. ▲ Rising
2.5.2 Number of transboundary breeds with unknown risk status — Value in Germany, 2000–2025
Source: Food and Agriculture Organization of the United Nations. Measured in No.
Analysis
In 2025, 2.5.2 number of transboundary breeds with unknown risk status — value in Germany stood at 13 No. That is the highest value across all 26 years on record.
Compared with earlier readings it is up 44.4% over ten years.
Over the whole period, 2.5.2 number of transboundary breeds with unknown risk status — value in Germany peaked at 13 No in 2016 and was at its lowest, 4 No, in 2002.
That places Germany 102nd out of 180 countries with data for 2025, putting it in the middle of the range.
The long-run direction has been consistently rising across the 26 years of available data.
2.5.2 Number of transboundary breeds with unknown risk status — Value in Germany, year by year
| Year | No | Change |
|---|---|---|
| 2000 | 5 No | — |
| 2001 | 5 No | +0.0% |
| 2002 | 4 No | -20.0% |
| 2003 | 5 No | +25.0% |
| 2004 | 5 No | +0.0% |
| 2005 | 5 No | +0.0% |
| 2006 | 12 No | +140.0% |
| 2007 | 10 No | -16.7% |
| 2008 | 10 No | +0.0% |
| 2009 | 8 No | -20.0% |
| 2010 | 9 No | +12.5% |
| 2011 | 9 No | +0.0% |
| 2012 | 9 No | +0.0% |
| 2013 | 8 No | -11.1% |
| 2014 | 9 No | +12.5% |
| 2015 | 9 No | +0.0% |
| 2016 | 13 No | +44.4% |
| 2017 | 10 No | -23.1% |
| 2018 | 11 No | +10.0% |
| 2019 | 12 No | +9.1% |
| 2020 | 12 No | +0.0% |
| 2021 | 12 No | +0.0% |
| 2022 | 12 No | +0.0% |
| 2023 | 13 No | +8.3% |
| 2024 | 13 No | +0.0% |
| 2025 | 13 No | +0.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 6.9 No | 4 No | 12 No | 10 |
| 2010s | 9.9 No | 8 No | 13 No | 10 |
| 2020s | 12.5 No | 12 No | 13 No | 6 |
Countries ranked near Germany
More economy & growth data for Germany
- Africa's Development Dynamics (AfDD) Table 04 - Annual real GDP 0.7761 Percent per annum (2029)
- Africa's Development Dynamics (AfDD) Table 02 - Annual real GDP 0.6565 Percent per annum (2029)
- Gross value added at basic prices (GVA) (current US$), annual growth 7.69 % change on previous year (2025)
- Gross value added at basic prices (GVA) (current US$), per unit of GDP 0.9049 current US$ per US$ of GDP (2025)
- Gross value added at basic prices (GVA) (current US$), per capita 54,743 current US$ per person (2025)
- Gross value added at basic prices (GVA) (current LCU), annual growth 3.15 % change on previous year (2025)
- Gross value added at basic prices (GVA) (current LCU), per unit of GDP 0.8008 current LCU per US$ of GDP (2025)
- Gross value added at basic prices (GVA) (current LCU), per capita 48,446 current LCU per person (2025)
- Gross value added at basic prices (GVA) (constant 2015 US$), annual 0.0855 % change on previous year (2025)
- Gross value added at basic prices (GVA) (constant 2015 US$), per unit 0.6533 constant 2015 US$ per US$ of GDP (2025)
Frequently asked questions
- What is 2.5.2 number of transboundary breeds with unknown risk status — value in Germany?
- 2.5.2 number of transboundary breeds with unknown risk status — value in Germany was 13 No in 2025, according to Food and Agriculture Organization of the United Nations.
- What is the highest 2.5.2 number of transboundary breeds with unknown risk status — value recorded in Germany?
- The highest recorded value was 13 No in 2016.
- What is the lowest 2.5.2 number of transboundary breeds with unknown risk status — value recorded in Germany?
- The lowest recorded value was 4 No in 2002.
- How does Germany rank for 2.5.2 number of transboundary breeds with unknown risk status — value?
- Germany ranks 102nd out of 180 countries with data for 2025.
- Is 2.5.2 number of transboundary breeds with unknown risk status — value rising or falling in Germany?
- Over the last ten years it is up 44.4%. The long-run trend across the full record is rising.
- Where does this Germany data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of 2.5.2 Number of transboundary breeds with unknown risk status — Value. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 26 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
As the custodian agency of 22 SDG indicators, the Food and Agriculture Organization of the United Nations (FAO) is responsible for curating and refining the methodologies of these indicators, collecting data from national sources, ensuring their quality and compatibility with applicable standards and classifications, and disseminating data at global level. This FAOSTAT domain complements the global SDG database administered by the United Nations Statistical Division (UNSD), as well as FAO’s SDG indicators portal, by providing access to the available data for all SDG Indicators under FAO custodianship. While this metadata page provides summary information on all SDG indicators data disseminated through FAOSTAT, indicator-specific metadata can be accessed from the link on the right hand navigation column. This additional metadata file provides details on the methodology used to compile each indicators, their data sources and the contact information of the relevant FAO focal point. It includes the links to the official SDG Indicator metadata documents accessible from the UNSD global SDG database.SDG Indicators under FAO custodianship, consisting of 22 indicators and 66 series that fall under six goals: • Goal 2: End hunger, achieve food security and improved nutrition and promote sustainable agriculture.• Goal 5: Achieve gender equality and empower all women and girls.• Goal 6: Clean water and sanitation: Ensure availability and sustainable management of water and sanitation for all.• Goal 12: Responsible consumption and production.• Goal 14: Life below water: Conserve and sustainably use the oceans, seas and marine resources.• Goal 15: Life on land: Sustainably manage forests, combat desertification, halt and reverse land degradation, halt biodiversity loss.