Equatorial Guinea vs Indonesia: Value Added Deflator (Agriculture, forestry and fishery) — Value

Equatorial Guinea
142.53 SLC
in 2024
Indonesia
143.59 SLC
in 2024
Equatorial Guinea rank
102nd
Indonesia rank
99th

Value Added Deflator (Agriculture, forestry and fishery) — Value over time

  • Equatorial Guinea
  • Indonesia
050100150197019972024

How they compare

Indonesia currently reports 143.59 SLC against 142.53 SLC in Equatorial Guinea, a difference of 1.06 SLC.

The two have swapped places 5 times across 55 shared years of data; in 1970 it was Equatorial Guinea ahead.

Equatorial Guinea ranks 102nd and Indonesia ranks 99th of 191 countries.

Equatorial Guinea has averaged higher in every one of the 6 decades both report.

Head to head by decade

Decade Equatorial Guinea Indonesia Difference Ahead
1970s 2.17 SLC 0.9209 SLC 1.25 SLC Equatorial Guinea
1980s 6.69 SLC 3.57 SLC 3.12 SLC Equatorial Guinea
1990s 13.51 SLC 10.54 SLC 2.97 SLC Equatorial Guinea
2000s 73.76 SLC 38.31 SLC 35.45 SLC Equatorial Guinea
2010s 104.89 SLC 95.42 SLC 9.47 SLC Equatorial Guinea
2020s 139.95 SLC 128.62 SLC 11.33 SLC Equatorial Guinea

Averages of every year both report within each decade.

Frequently asked questions

Which has higher value added deflator (agriculture, forestry and fishery) — value, Equatorial Guinea or Indonesia?
Indonesia, at 143.59 SLC against 142.53 SLC in Equatorial Guinea as of 2024.
What is the difference in value added deflator (agriculture, forestry and fishery) — value between Equatorial Guinea and Indonesia?
1.06 SLC, with Indonesia ahead.
How many years of comparable data are there for Equatorial Guinea and Indonesia?
55 years are reported by both, from 1970 to 2024.
How do Equatorial Guinea and Indonesia rank globally for value added deflator (agriculture, forestry and fishery) — value?
Equatorial Guinea ranks 102nd and Indonesia ranks 99th of 191 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Value Added Deflator (Agriculture, forestry and fishery) — Value Standard Local Currency, 2015 prices. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

Share, cite or embed this page

Cite this page

Equatorial Guinea vs Indonesia: Value Added Deflator (Agriculture, forestry and fishery) — Value. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 11 September 2026, from https://environment.statizoid.com/compare/value-added-deflator-agriculture-forestry-and-fishery-value-standard-local-currency-2015/equatorial-guinea/indonesia/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY-NC-SA 3.0 IGO (FAO); please keep the attribution.

<a href="https://environment.statizoid.com/compare/value-added-deflator-agriculture-forestry-and-fishery-value-standard-local-currency-2015/equatorial-guinea/indonesia/">Equatorial Guinea vs Indonesia: Value Added Deflator (Agriculture, forestry and fishery) — Value</a> — Statizoid

About this data

Indicator
Value Added Deflator (Agriculture, forestry and fishery) — Value Standard Local Currency, 2015 prices
Unit
SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
207 places, 10,733 data points, 1970–2024
Last refreshed

The FAOSTAT Deflators database provides the following selection of price deflator series by country and at regional level: Gross Domestic Product deflator, Gross Fixed Capital Formation deflator, Manufacturing Value-Added deflator, and Agriculture, Forestry, Fishery Valued-Added deflator. In the FAOSTAT Deflators database, all series are derived from the United Nations Statistics Division (UNSD) National Accounts Analysis of Main Aggregates database (UNSD AMA). In particular, the implicit Gross Domestic Product deflator, the implicit Gross Fixed Capital Formation deflator, the implicit value added deflator of Agriculture, Forestry, Fishery and the implicit value added deflator of Manufacturing are obtained by dividing the series in current prices by those in constant 2015 prices (base year).