China, mainland vs El Salvador: Value Added Deflator (Agriculture, forestry and fishery) — Value

China, mainland
118.84 SLC
in 2024
El Salvador
117.32 SLC
in 2024
China, mainland rank
148th
El Salvador rank
150th

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

  • China, mainland
  • El Salvador
0255075100125197019972024

How they compare

China, mainland currently reports 118.84 SLC against 117.32 SLC in El Salvador, a difference of 1.52 SLC.

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

China, mainland ranks 148th and El Salvador ranks 150th of 191 countries.

Across the 6 decades both report, China, mainland averaged higher in 2 and El Salvador in 4.

Head to head by decade

Decade China, mainland El Salvador Difference Ahead
1970s 8.59 SLC 24.69 SLC 16.1 SLC El Salvador
1980s 14.67 SLC 38.59 SLC 23.91 SLC El Salvador
1990s 37.39 SLC 52.31 SLC 14.92 SLC El Salvador
2000s 58.38 SLC 66.91 SLC 8.54 SLC El Salvador
2010s 98.73 SLC 96.71 SLC 2.02 SLC China, mainland
2020s 115.41 SLC 109.07 SLC 6.34 SLC China, mainland

Averages of every year both report within each decade.

Frequently asked questions

Which has higher value added deflator (agriculture, forestry and fishery) — value, China, mainland or El Salvador?
China, mainland, at 118.84 SLC against 117.32 SLC in El Salvador as of 2024.
What is the difference in value added deflator (agriculture, forestry and fishery) — value between China, mainland and El Salvador?
1.52 SLC, with China, mainland ahead.
How many years of comparable data are there for China, mainland and El Salvador?
55 years are reported by both, from 1970 to 2024.
How do China, mainland and El Salvador rank globally for value added deflator (agriculture, forestry and fishery) — value?
China, mainland ranks 148th and El Salvador ranks 150th 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

China, mainland vs El Salvador: Value Added Deflator (Agriculture, forestry and fishery) — Value. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 16 September 2026, from https://environment.statizoid.com/compare/value-added-deflator-agriculture-forestry-and-fishery-value-standard-local-currency-2015/china-mainland/el-salvador/

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/china-mainland/el-salvador/">China, mainland vs El Salvador: 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).