Inward Direct investment, Liabilities (gross), All financial in Tanzania, United Republic of

Tanzania, United Republic of: Inward Direct investment, Liabilities (gross), All financial was 55.67 million in 2024. ◆ Volatile

Latest (2024)
55.67 million
Change on year
down 56.9%
World rank
121st
of 245 countries
All-time high
276.57 million
in 2022
All-time low
3,732
in 2009
Years of data
16
2009–2024

Inward Direct investment, Liabilities (gross), All financial in Tanzania, United Republic of, 2009–2024

0100.0M200.0M300.0M2009201620242009: 3.7k2010: 32.8k2011: 12.1M2012: 14.7M2013: 39.6M2014: 90.6M2015: 104.1M2016: 129.2M2017: 52.8M2018: 51.4M2019: 66.8M2020: 80.1M2021: 94.5M2022: 276.6M2023: 129.2M2024: 55.7M

Source: International Monetary Fund.

Analysis

The most recent figure for inward direct investment, liabilities (gross), all financial in Tanzania, United Republic of is 55.67 million, measured in 2024.

That represents a change of down 56.9% on the previous year and down 38.5% over ten years.

Over the whole period, inward direct investment, liabilities (gross), all financial in Tanzania, United Republic of peaked at 276.57 million in 2022 and was at its lowest, 3,732, in 2009.

That places Tanzania, United Republic of 121st out of 245 countries with data for 2024, putting it in the middle of the range.

The series is highly variable year to year, so single readings are best treated with caution.

Inward Direct investment, Liabilities (gross), All financial in Tanzania, United Republic of, year by year

Annual values for Inward Direct investment, Liabilities (gross), All financial instruments, Fellow enterprises (World, Derived using counterparty information) in Tanzania, United Republic of, 2009 to 2024.
Year Value Change
2009 3,732
2010 32,838 +779.8%
2011 12.10 million +36748.2%
2012 14.73 million +21.8%
2013 39.62 million +168.9%
2014 90.58 million +128.6%
2015 104.10 million +14.9%
2016 129.22 million +24.1%
2017 52.77 million -59.2%
2018 51.36 million -2.7%
2019 66.80 million +30.1%
2020 80.10 million +19.9%
2021 94.55 million +18.0%
2022 276.57 million +192.5%
2023 129.21 million -53.3%
2024 55.67 million -56.9%

Averages by decade

DecadeAverage LowestHighest Years
2000s 3,732 3,732 3,732 1
2010s 56.13 million 32,838 129.22 million 10
2020s 127.22 million 55.67 million 276.57 million 5

Countries ranked near Tanzania, United Republic of

  1. 118 North Macedonia 69.85 million compare
  2. 119 Bosnia and Herzegovina 64.79 million compare
  3. 120 Togo 62.99 million compare
  4. 122 Ethiopia 54.58 million compare
  5. 123 Jordan 54.15 million compare
  6. 124 Rwanda 53.27 million compare

See the full ranking of 259 places →

More external debt data for Tanzania, United Republic of

All data for Tanzania, United Republic of →

Frequently asked questions

What is inward direct investment, liabilities (gross), all financial in Tanzania, United Republic of?
Inward direct investment, liabilities (gross), all financial in Tanzania, United Republic of was 55.67 million in 2024, according to International Monetary Fund.
What is the highest inward direct investment, liabilities (gross), all financial recorded in Tanzania, United Republic of?
The highest recorded value was 276.57 million in 2022.
What is the lowest inward direct investment, liabilities (gross), all financial recorded in Tanzania, United Republic of?
The lowest recorded value was 3,732 in 2009.
How does Tanzania, United Republic of rank for inward direct investment, liabilities (gross), all financial?
Tanzania, United Republic of ranks 121st out of 245 countries with data for 2024.
Is inward direct investment, liabilities (gross), all financial rising or falling in Tanzania, United Republic of?
Over the last ten years it is down 38.5%. The long-run trend across the full record is volatile.
Where does this Tanzania, United Republic of data come from?
The figures come from International Monetary Fund, published as part of Inward Direct investment, Liabilities (gross), All financial instruments, Fellow enterprises (World, Derived using counterparty information). Statizoid updates them automatically from the source API.

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Inward Direct investment, Liabilities (gross), All financial in Tanzania, United Republic of. Statizoid, drawing on International Monetary Fund. Retrieved 09 September 2026, from https://debt.statizoid.com/stat/inward-direct-investment-liabilities-gross-all-financial-instruments-fellow-enterprises/tanzania/

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About this data

Indicator
Inward Direct investment, Liabilities (gross), All financial instruments, Fellow enterprises (World, Derived using counterparty information)
Source
International Monetary Fund
Licence
IMF Terms and Conditions (attribution required)
Coverage
259 places, 4,144 data points, 2009–2024
Last refreshed

The Direct Investment Positions by Counterpart Economy dataset is based on information collected through an IMF-led global initiative on direct investment positions statistics (the Coordinated Direct Investment Survey, or CDIS). The purpose of this initiative is to enhance the quality and availability of direct investment position statistics by immediate counterpart economy and to support the objective of developing from-whom-to-whom cross-border data on direct investment positions. The DIP dataset includes (i) inward foreign direct investment positions by instrument (equity or debt) and by economy of immediate investor and (ii) outward direct investment positions by instrument (equity or debt) and by economy of immediate investment. In most instances the database contains separate data on net equity and net debt positions, as well as separate data on financial companies and fellow enterprises. The DIP dataset also includes mirror data which show values for the corresponding indicators as derived from data reported by the counterpart economies (referred to as data derived using counterparty information). These data can offer insights into inward and outward positions for economies that do not participate in the CDIS and/or do not collect direct investment positions by country or in total. For economies that do participate, these data can be used to cross-check and verify estimates and may help identify data gaps or errors at the counterpart economy level.