Lithuania vs Pakistan: Total Credit — Value US$
Total Credit — Value US$ over time
- Lithuania
- Pakistan
How they compare
Pakistan currently reports 34,369 million USD against 30,014 million USD in Lithuania, a difference of 4,355 million USD.
That makes Pakistan's figure about 1.1 times Lithuania's.
The two have swapped places 2 times across 15 shared years of data; in 2010 it was Pakistan ahead.
Lithuania ranks 70th and Pakistan ranks 67th of 178 countries.
Pakistan has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Lithuania | Pakistan | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 20,138 million USD | 32,673 million USD | 12,535 million USD | Pakistan |
| 2020s | 25,802 million USD | 33,871 million USD | 8,069 million USD | Pakistan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher total credit — value us$, Lithuania or Pakistan?
- Pakistan, at 34,369 million USD against 30,014 million USD in Lithuania as of 2024.
- What is the difference in total credit — value us$ between Lithuania and Pakistan?
- 4,355 million USD, with Pakistan ahead.
- How many years of comparable data are there for Lithuania and Pakistan?
- 15 years are reported by both, from 2010 to 2024.
- How do Lithuania and Pakistan rank globally for total credit — value us$?
- Lithuania ranks 70th and Pakistan ranks 67th of 178 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Total Credit — Value US$. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
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.