Credit to Agriculture, Forestry and Fishing — Value Standard Local in United Republic of Tanzania
United Republic of Tanzania: Credit to Agriculture, Forestry and Fishing — Value Standard Local was 2.58 million million SLC in 2023. ◆ Volatile
Credit to Agriculture, Forestry and Fishing — Value Standard Local in United Republic of Tanzania, 1993–2023
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
The most recent figure for credit to agriculture, forestry and fishing — value standard local in United Republic of Tanzania is 2.58 million million SLC, measured in 2023. That is the highest value across all 31 years on record.
The figure is up 31.8% on the previous year and up 123.0% over ten years.
Over the whole period, credit to agriculture, forestry and fishing — value standard local in United Republic of Tanzania peaked at 2.58 million million SLC in 2023 and was at its lowest, 68,957 million SLC, in 1997.
The series is highly variable year to year, so single readings are best treated with caution.
Credit to Agriculture, Forestry and Fishing — Value Standard Local in United Republic of Tanzania, year by year
| Year | million SLC | Change |
|---|---|---|
| 1993 | 204,312 million SLC | — |
| 1994 | 221,791 million SLC | +8.6% |
| 1995 | 150,699 million SLC | -32.1% |
| 1996 | 103,053 million SLC | -31.6% |
| 1997 | 68,957 million SLC | -33.1% |
| 1998 | 81,776 million SLC | +18.6% |
| 1999 | 70,386 million SLC | -13.9% |
| 2000 | 78,997 million SLC | +12.2% |
| 2001 | 136,315 million SLC | +72.6% |
| 2002 | 319,249 million SLC | +134.2% |
| 2003 | 294,885 million SLC | -7.6% |
| 2004 | 413,946 million SLC | +40.4% |
| 2005 | 468,490 million SLC | +13.2% |
| 2006 | 660,234 million SLC | +40.9% |
| 2007 | 691,331 million SLC | +4.7% |
| 2008 | 996,576 million SLC | +44.2% |
| 2009 | 845,768 million SLC | -15.1% |
| 2010 | 1.17 million million SLC | +38.3% |
| 2011 | 1.39 million million SLC | +19.1% |
| 2012 | 1.23 million million SLC | -11.7% |
| 2013 | 1.16 million million SLC | -5.9% |
| 2014 | 1.20 million million SLC | +3.3% |
| 2015 | 1.24 million million SLC | +3.9% |
| 2016 | 1.10 million million SLC | -11.9% |
| 2017 | 1.10 million million SLC | +0.7% |
| 2018 | 966,488 million SLC | -12.3% |
| 2019 | 1.72 million million SLC | +77.5% |
| 2020 | 1.56 million million SLC | -9.1% |
| 2021 | 1.40 million million SLC | -10.0% |
| 2022 | 1.96 million million SLC | +39.5% |
| 2023 | 2.58 million million SLC | +31.8% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 128,711 million SLC | 68,957 million SLC | 221,791 million SLC | 7 |
| 2000s | 490,579 million SLC | 78,997 million SLC | 996,576 million SLC | 10 |
| 2010s | 1.23 million million SLC | 966,488 million SLC | 1.72 million million SLC | 10 |
| 2020s | 1.88 million million SLC | 1.40 million million SLC | 2.58 million million SLC | 4 |
Countries ranked near United Republic of Tanzania
- 1 Côte d'Ivoire 78,421 million SLC compare
- 1 Indonesia 403.72 million million SLC compare
- 1 Viet Nam 788.20 million million SLC compare
- 2 Iran (Islamic Republic of) 621.02 million million SLC compare
- 2 Republic of Korea 66.34 million million SLC compare
- 3 Cabo Verde 513.66 million SLC compare
- 3 India 16.67 million million SLC compare
- 4 Cambodia 15.81 million million SLC compare
- 4 Syrian Arab Republic 42,377 million SLC compare
- 5 China, mainland 1.99 million million SLC compare
- 5 Democratic Republic of the Congo 36,274 million SLC compare
- 6 Bolivia (Plurinational State of) 15,063 million SLC compare
- 6 Uganda 1.92 million million SLC compare
More environment data for United Republic of Tanzania
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Temperature change 1.06 °C (2025)
- Standard Deviation 0.253 °C (2025)
- Other paper and paperboard — Import value, annual growth rate 23.17 % change on previous year (2024)
- Other paper and paperboard, not elsewhere specified — Import 13.1 % change on previous year (2024)
- Other paper and paperboard, not elsewhere specified — Import value 23.24 % change on previous year (2024)
- Total fibre furnish — Production, annual growth rate 0 % change on previous year (2024)
- Sawnwood, coniferous — Import value 46 1000 USD (2024)
- Sawnwood, non-coniferous — Import value 460 1000 USD (2024)
- Sawnwood, non-coniferous — Import quantity 1,288 m3 (2024)
Frequently asked questions
- What is credit to agriculture, forestry and fishing — value standard local in United Republic of Tanzania?
- Credit to agriculture, forestry and fishing — value standard local in United Republic of Tanzania was 2.58 million million SLC in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest credit to agriculture, forestry and fishing — value standard local recorded in United Republic of Tanzania?
- The highest recorded value was 2.58 million million SLC in 2023.
- What is the lowest credit to agriculture, forestry and fishing — value standard local recorded in United Republic of Tanzania?
- The lowest recorded value was 68,957 million SLC in 1997.
- How does United Republic of Tanzania rank for credit to agriculture, forestry and fishing — value standard local?
- United Republic of Tanzania ranks 3rd out of 9 countries with data for 2023.
- Is credit to agriculture, forestry and fishing — value standard local rising or falling in United Republic of Tanzania?
- Over the last ten years it is up 123.0%. The long-run trend across the full record is volatile.
- Where does this United Republic of Tanzania data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Credit to Agriculture, Forestry and Fishing — Value Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.
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About this data
Credit to agriculture measures the amount of loans and advances given by the banking sector to farmers, rural households, agricultural cooperatives, or any other agri-related businesses. Each country’s central bank compiles its credit stocks by economic activities as part of its monetary and financial statistics publications via annual or quarterly reports online. Data collection has been carried out mostly through reports found on the central bank websites. Data are collected and compiled according to the International Standard Industrial Classification of All Economic Activities (ISIC Rev. 4: https://unstats.un.org/unsd/classifications/Econ/isic) with a special concentration on the credit to agriculture, forestry and fishing sector separately from the ones to manufacturing and services.