Democratic Republic of the Congo vs Thailand: Total Expenditure in Agricultural R&D (Standard Local Currency)

Democratic Republic of the Congo
16,737 million SLC
in 2016
Thailand
16,001 million SLC
in 2023
Democratic Republic of the Congo rank
21st
Thailand rank
23rd

Total Expenditure in Agricultural R&D (Standard Local Currency) over time

  • Democratic Republic of the Congo
  • Thailand
5.0k10.0k15.0k20.0k200420132023

How they compare

Democratic Republic of the Congo currently reports 16,737 million SLC against 16,001 million SLC in Thailand, a difference of 736 million SLC.

The two have swapped places 1 time across 7 shared years of data; in 2009 it was Thailand ahead.

Democratic Republic of the Congo ranks 21st and Thailand ranks 23rd of 97 countries.

Across the 2 decades both report, Democratic Republic of the Congo averaged higher in 1 and Thailand in 1.

Head to head by decade

Decade Democratic Republic of the Congo Thailand Difference Ahead
2000s 8,627 million SLC 9,774 million SLC 1,148 million SLC Thailand
2010s 16,506 million SLC 9,453 million SLC 7,052 million SLC Democratic Republic of the Congo

Averages of every year both report within each decade.

Frequently asked questions

Which has higher total expenditure in agricultural r&d (standard local currency), Democratic Republic of the Congo or Thailand?
Democratic Republic of the Congo, at 16,737 million SLC against 16,001 million SLC in Thailand as of 2016.
What is the difference in total expenditure in agricultural r&d (standard local currency) between Democratic Republic of the Congo and Thailand?
736 million SLC, with Democratic Republic of the Congo ahead.
How many years of comparable data are there for Democratic Republic of the Congo and Thailand?
7 years are reported by both, from 2009 to 2016.
How do Democratic Republic of the Congo and Thailand rank globally for total expenditure in agricultural r&d (standard local currency)?
Democratic Republic of the Congo ranks 21st and Thailand ranks 23rd of 97 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Total Expenditure in Agricultural R&D (Standard Local Currency) — Government, Higher Education and Private Non-profit. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Democratic Republic of the Congo vs Thailand: Total Expenditure in Agricultural R&D (Standard Local Currency). Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 18 September 2026, from https://agriculture.statizoid.com/compare/total-expenditure-in-agricultural-r-and-d-standard-local-currency-total-government-higher/democratic-republic-of-the-congo/thailand/

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About this data

Indicator
Total Expenditure in Agricultural R&D (Standard Local Currency) — Government, Higher Education and Private Non-profit
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
98 places, 1,334 data points, 2004–2023
Last refreshed

The dataset contains a set of financial indicators describing national expenditures on agricultural research and development (R&D). The indicators are derived primarily from responses to the financial resources section of the ASTI questionnaire, complemented with selected external macroeconomic indicators required to ensure comparability across countries and over time.The dataset includes both directly reported financial aggregates and derived indicators, reflecting different dimensions of agricultural R&D investment. Reported expenditure data are collected in current local currency units (LCU) and refer to total institutional expenditures, as provided by national respondents. Coverage of the private for-profit sector remains limited and is therefore excluded from the dataset. To support temporal analysis and international comparability, expenditure indicators are also expressed in constant local currency units, using country-specific GDP deflators sourced from FAOSTAT. In addition, selected indicators relate agricultural R&D expenditures to key structural variables, such as agricultural value added, allowing for meaningful cross-country comparisons of research intensity and resource allocation.