Value Added (Agriculture, Forestry and Fishing) — Value Standard in Romania
Romania: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 57,674 million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Romania, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
Romania recorded 57,674 million SLC for value added (agriculture, forestry and fishing) — value standard in 2024.
The figure is down 7.3% on the previous year and up 74.2% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Romania peaked at 62,212 million SLC in 2023 and was at its lowest, 4.24 million SLC, in 1970.
That places Romania 87th out of 199 countries with data for 2024, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Romania, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 4.24 million SLC | — |
| 1971 | 5.81 million SLC | +37.0% |
| 1972 | 6 million SLC | +3.3% |
| 1973 | 5.76 million SLC | -3.9% |
| 1974 | 5.57 million SLC | -3.4% |
| 1975 | 6.17 million SLC | +10.8% |
| 1976 | 7.83 million SLC | +26.9% |
| 1977 | 7.34 million SLC | -6.2% |
| 1978 | 7.96 million SLC | +8.4% |
| 1979 | 7.6 million SLC | -4.6% |
| 1980 | 8.16 million SLC | +7.4% |
| 1981 | 9.52 million SLC | +16.6% |
| 1982 | 13.05 million SLC | +37.1% |
| 1983 | 11.33 million SLC | -13.2% |
| 1984 | 12 million SLC | +5.9% |
| 1985 | 12.06 million SLC | +0.5% |
| 1986 | 11.42 million SLC | -5.3% |
| 1987 | 11.23 million SLC | -1.6% |
| 1988 | 12.1 million SLC | +7.7% |
| 1989 | 11.16 million SLC | -7.8% |
| 1990 | 18.13 million SLC | +62.4% |
| 1991 | 40.29 million SLC | +122.3% |
| 1992 | 111.2 million SLC | +176.0% |
| 1993 | 407.43 million SLC | +266.4% |
| 1994 | 958.8 million SLC | +135.3% |
| 1995 | 1,382 million SLC | +44.2% |
| 1996 | 1,997 million SLC | +44.5% |
| 1997 | 4,465 million SLC | +123.6% |
| 1998 | 5,322 million SLC | +19.2% |
| 1999 | 6,973 million SLC | +31.0% |
| 2000 | 8,778 million SLC | +25.9% |
| 2001 | 15,436 million SLC | +75.9% |
| 2002 | 17,271 million SLC | +11.9% |
| 2003 | 22,866 million SLC | +32.4% |
| 2004 | 31,089 million SLC | +36.0% |
| 2005 | 24,343 million SLC | -21.7% |
| 2006 | 26,807 million SLC | +10.1% |
| 2007 | 23,419 million SLC | -12.6% |
| 2008 | 34,020 million SLC | +45.3% |
| 2009 | 32,472 million SLC | -4.6% |
| 2010 | 27,980 million SLC | -13.8% |
| 2011 | 34,946 million SLC | +24.9% |
| 2012 | 28,208 million SLC | -19.3% |
| 2013 | 34,801 million SLC | +23.4% |
| 2014 | 33,100 million SLC | -4.9% |
| 2015 | 31,537 million SLC | -4.7% |
| 2016 | 32,283 million SLC | +2.4% |
| 2017 | 37,802 million SLC | +17.1% |
| 2018 | 43,137 million SLC | +14.1% |
| 2019 | 45,855 million SLC | +6.3% |
| 2020 | 43,478 million SLC | -5.2% |
| 2021 | 54,912 million SLC | +26.3% |
| 2022 | 52,978 million SLC | -3.5% |
| 2023 | 62,212 million SLC | +17.4% |
| 2024 | 57,674 million SLC | -7.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 6.43 million SLC | 4.24 million SLC | 7.96 million SLC | 10 |
| 1980s | 11.2 million SLC | 8.16 million SLC | 13.05 million SLC | 10 |
| 1990s | 2,168 million SLC | 18.13 million SLC | 6,973 million SLC | 10 |
| 2000s | 23,650 million SLC | 8,778 million SLC | 34,020 million SLC | 10 |
| 2010s | 34,965 million SLC | 27,980 million SLC | 45,855 million SLC | 10 |
| 2020s | 54,251 million SLC | 43,478 million SLC | 62,212 million SLC | 5 |
Countries ranked near Romania
More environment data for Romania
- Historical exposure to drought — Land soil moisture anomaly -4.68 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -5.2 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.634 °C (2025)
- Temperature change 2.03 °C (2025)
- Newsprint — Import quantity, gaps filled 19,979 t (2024)
- Newsprint — Import quantity, annual growth rate -13.15 % change on previous year (2024)
- Newsprint — Import value, gaps filled 15,466 1000 USD (2024)
- Newsprint — Import value, annual growth rate -24.27 % change on previous year (2024)
- Printing and writing papers — Import quantity, annual growth rate 22.98 % change on previous year (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Romania?
- Value added (agriculture, forestry and fishing) — value standard in Romania was 57,674 million SLC in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) — value standard recorded in Romania?
- The highest recorded value was 62,212 million SLC in 2023.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Romania?
- The lowest recorded value was 4.24 million SLC in 1970.
- How does Romania rank for value added (agriculture, forestry and fishing) — value standard?
- Romania ranks 87th out of 199 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Romania?
- Over the last ten years it is up 74.2%. The long-run trend across the full record is volatile.
- Where does this Romania data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 55 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
The FAOSTAT Macro Indicators database provides a selection of country-level macro indicators relating to total economy (Gross Domestic Product, Gross Fixed Capital Formation); agriculture activity; agriculture, forestry and fishing activity; total manufacturing activity; manufacturing of food products and beverages activity; manufacturing activity of tobacco products; and manufacturing activity of food, beverage and tobacco products.It releases time series for a selection of National Accounts variables, including gross domestic product, gross fixed capital formation, industry-level value added and gross output. The database also proposes additional indicators such as gross domestic product per capita, year-on-year growth rates and measures of industry contribution to gross domestic product. All data relating to Gross Domestic Product, Gross Fixed Capital Formation, agriculture, forestry and fishing activity, and to total manufacturing activity originates from the United Nations Statistics Division (UNSD) National Accounts Estimates of Main Aggregates database, which consists of a complete and consistent set of time series of the main National Accounts aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official National Accounts data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information (See http://unstats.un.org/unsd/snaama/Introduction.asp). Data series relating to the sub-industry Agriculture activity are obtained from the UNSD national accounts Official Country Data databases while series on the Manufacturing activity of food and beverages products, manufacturing activity of tobacco products and manufacturing activity of food, beverages and tobacco products originates from the United Nations Industrial Development Organization (UNIDO) INDSTAT2 database. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), UNIDO originating series are rescaled on UNSD National Accounts Estimates of Main Aggregates data series (See Section 17.5 for a more detailed description of the data processing steps).