Lithuania vs Pakistan: Inward Direct investment, Net (liabilities less assets), Debt

Lithuania
1.50 billion
in 2024
Pakistan
1.68 billion
in 2024
Lithuania rank
63rd
Pakistan rank
60th

Inward Direct investment, Net (liabilities less assets), Debt over time

  • Lithuania
  • Pakistan
01.0B2.0B3.0B200920162024

How they compare

Pakistan currently reports 1.68 billion against 1.50 billion in Lithuania, a difference of 181.41 million.

That makes Pakistan's figure about 1.1 times Lithuania's.

The two have swapped places 1 time across 16 shared years of data; in 2009 it was Lithuania ahead.

Lithuania ranks 63rd and Pakistan ranks 60th of 245 countries.

Across the 3 decades both report, Lithuania averaged higher in 2 and Pakistan in 1.

Head to head by decade

Decade Lithuania Pakistan Difference Ahead
2000s 515.16 million 128.80 million 386.36 million Lithuania
2010s 1.07 billion 172.58 million 897.51 million Lithuania
2020s 1.54 billion 1.97 billion 424.41 million Pakistan

Averages of every year both report within each decade.

Frequently asked questions

Which has higher inward direct investment, net (liabilities less assets), debt, Lithuania or Pakistan?
Pakistan, at 1.68 billion against 1.50 billion in Lithuania as of 2024.
What is the difference in inward direct investment, net (liabilities less assets), debt between Lithuania and Pakistan?
181.41 million, with Pakistan ahead.
How many years of comparable data are there for Lithuania and Pakistan?
16 years are reported by both, from 2009 to 2024.
How do Lithuania and Pakistan rank globally for inward direct investment, net (liabilities less assets), debt?
Lithuania ranks 63rd and Pakistan ranks 60th of 245 countries.
Where does this data come from?
International Monetary Fund, published as Inward Direct investment, Net (liabilities less assets), Debt instruments, Resident enterprises that are not financial intermediaries (World, Derived using counterparty information). Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Lithuania vs Pakistan: Inward Direct investment, Net (liabilities less assets), Debt. Statizoid, drawing on International Monetary Fund. Retrieved 30 August 2026, from https://debt.statizoid.com/compare/inward-direct-investment-net-liabilities-less-assets-debt-instruments-resident/lithuania/pakistan/

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About this data

Indicator
Inward Direct investment, Net (liabilities less assets), Debt instruments, Resident enterprises that are not financial intermediaries (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.