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 3.30 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 3.30 million million SLC, measured in 2023. That is the highest value across all 31 years on record.
The figure is up 38.5% on the previous year and up 225.5% over ten years.
Over the whole period, credit to agriculture, forestry and fishing — value standard local in United Republic of Tanzania peaked at 3.30 million million SLC in 2023 and was at its lowest, 13,920 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 | 17,883 million SLC | — |
| 1994 | 24,433 million SLC | +36.6% |
| 1995 | 21,086 million SLC | -13.7% |
| 1996 | 17,236 million SLC | -18.3% |
| 1997 | 13,920 million SLC | -19.2% |
| 1998 | 18,826 million SLC | +35.2% |
| 1999 | 17,739 million SLC | -5.8% |
| 2000 | 21,432 million SLC | +20.8% |
| 2001 | 38,955 million SLC | +81.8% |
| 2002 | 97,683 million SLC | +150.8% |
| 2003 | 97,795 million SLC | +0.1% |
| 2004 | 147,111 million SLC | +50.4% |
| 2005 | 177,320 million SLC | +20.5% |
| 2006 | 291,391 million SLC | +64.3% |
| 2007 | 323,400 million SLC | +11.0% |
| 2008 | 540,347 million SLC | +67.1% |
| 2009 | 500,816 million SLC | -7.3% |
| 2010 | 756,701 million SLC | +51.1% |
| 2011 | 1.01 million million SLC | +32.9% |
| 2012 | 982,878 million SLC | -2.2% |
| 2013 | 1.01 million million SLC | +3.2% |
| 2014 | 1.11 million million SLC | +9.7% |
| 2015 | 1.24 million million SLC | +11.7% |
| 2016 | 1.18 million million SLC | -5.2% |
| 2017 | 1.22 million million SLC | +3.5% |
| 2018 | 1.05 million million SLC | -14.2% |
| 2019 | 1.88 million million SLC | +80.2% |
| 2020 | 1.77 million million SLC | -6.1% |
| 2021 | 1.63 million million SLC | -7.7% |
| 2022 | 2.38 million million SLC | +46.0% |
| 2023 | 3.30 million million SLC | +38.5% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 18,732 million SLC | 13,920 million SLC | 24,433 million SLC | 7 |
| 2000s | 223,625 million SLC | 21,432 million SLC | 540,347 million SLC | 10 |
| 2010s | 1.14 million million SLC | 756,701 million SLC | 1.88 million million SLC | 10 |
| 2020s | 2.27 million million SLC | 1.63 million million SLC | 3.30 million million SLC | 4 |
Countries ranked near United Republic of Tanzania
- 1 Côte d'Ivoire 90,112 million SLC compare
- 1 Indonesia 548.00 million million SLC compare
- 1 Viet Nam 1.02 billion million SLC compare
- 2 Iran (Islamic Republic of) 679.40 million million SLC compare
- 2 Republic of Korea 76.83 million million SLC compare
- 3 Cabo Verde 628.26 million SLC compare
- 3 India 24.20 million million SLC compare
- 4 Cambodia 19.49 million million SLC compare
- 4 Syrian Arab Republic 350,747 million SLC compare
- 5 Democratic Republic of the Congo 111,827 million SLC compare
- 5 Lebanon 14.30 million million SLC compare
- 6 Bolivia (Plurinational State of) 16,241 million SLC compare
- 6 Russian Federation 2.83 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 3.30 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 3.30 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 13,920 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 225.5%. 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. 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.