Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Nicaragua
Nicaragua: Net Capital Stocks (Agriculture, Forestry and Fishing) — Value was 80,036 million SLC in 2023. ▲ Rising
Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Nicaragua, 1995–2023
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
In 2023, net capital stocks (agriculture, forestry and fishing) — value in Nicaragua stood at 80,036 million SLC. That is the highest value across all 29 years on record.
That represents a change of up 4.7% on the previous year and up 47.0% over ten years.
Over the whole period, net capital stocks (agriculture, forestry and fishing) — value in Nicaragua peaked at 80,036 million SLC in 2023 and was at its lowest, 35,519 million SLC, in 1995.
That places Nicaragua 84th out of 179 countries with data for 2023, putting it in the middle of the range.
The long-run direction has been consistently rising across the 29 years of available data.
Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Nicaragua, year by year
| Year | million SLC | Change |
|---|---|---|
| 1995 | 35,519 million SLC | — |
| 1996 | 36,544 million SLC | +2.9% |
| 1997 | 37,604 million SLC | +2.9% |
| 1998 | 38,054 million SLC | +1.2% |
| 1999 | 38,413 million SLC | +0.9% |
| 2000 | 39,317 million SLC | +2.4% |
| 2001 | 39,988 million SLC | +1.7% |
| 2002 | 40,532 million SLC | +1.4% |
| 2003 | 40,932 million SLC | +1.0% |
| 2004 | 41,604 million SLC | +1.6% |
| 2005 | 42,576 million SLC | +2.3% |
| 2006 | 43,192 million SLC | +1.4% |
| 2007 | 44,370 million SLC | +2.7% |
| 2008 | 45,431 million SLC | +2.4% |
| 2009 | 46,230 million SLC | +1.8% |
| 2010 | 47,700 million SLC | +3.2% |
| 2011 | 49,911 million SLC | +4.6% |
| 2012 | 52,290 million SLC | +4.8% |
| 2013 | 54,435 million SLC | +4.1% |
| 2014 | 57,517 million SLC | +5.7% |
| 2015 | 60,554 million SLC | +5.3% |
| 2016 | 62,947 million SLC | +4.0% |
| 2017 | 65,710 million SLC | +4.4% |
| 2018 | 67,935 million SLC | +3.4% |
| 2019 | 69,665 million SLC | +2.5% |
| 2020 | 71,448 million SLC | +2.6% |
| 2021 | 73,638 million SLC | +3.1% |
| 2022 | 76,441 million SLC | +3.8% |
| 2023 | 80,036 million SLC | +4.7% |
Nicaragua compared with similar countries
- Nicaragua's 80,036 million SLC is below the median for lower middle income countries, which is 149,162 million SLC, 54% of the median. (41 countries reporting)
- Nicaragua's 80,036 million SLC is above the median for Latin America & Caribbean, which is 3,560 million SLC, 22.5× the median. (35 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 37,227 million SLC | 35,519 million SLC | 38,413 million SLC | 5 |
| 2000s | 42,417 million SLC | 39,317 million SLC | 46,230 million SLC | 10 |
| 2010s | 58,866 million SLC | 47,700 million SLC | 69,665 million SLC | 10 |
| 2020s | 75,391 million SLC | 71,448 million SLC | 80,036 million SLC | 4 |
Countries ranked near Nicaragua
More environment data for Nicaragua
- Historical exposure to drought — Land soil moisture anomaly 3.64 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 4.53 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2024)
- Standard Deviation 0.243 °C (2024)
- Temperature change 1.89 °C (2024)
- Nutrient potash K2O (total) — Agricultural Use, gaps filled 25,872 t (2022)
- Nutrient potash K2O (total) — Agricultural Use, annual growth rate 1.16 % change on previous year (2022)
- Country area — Area, annual growth rate 0 % change on previous year (2022)
- Country area — Area, per unit of GDP 0 1000 ha per US$ of GDP (2022)
- Country area — Area, per capita 0.0019 1000 ha per person (2022)
Frequently asked questions
- What is net capital stocks (agriculture, forestry and fishing) — value in Nicaragua?
- Net capital stocks (agriculture, forestry and fishing) — value in Nicaragua was 80,036 million SLC in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest net capital stocks (agriculture, forestry and fishing) — value recorded in Nicaragua?
- The highest recorded value was 80,036 million SLC in 2023.
- What is the lowest net capital stocks (agriculture, forestry and fishing) — value recorded in Nicaragua?
- The lowest recorded value was 35,519 million SLC in 1995.
- How does Nicaragua rank for net capital stocks (agriculture, forestry and fishing) — value?
- Nicaragua ranks 84th out of 179 countries with data for 2023.
- Is net capital stocks (agriculture, forestry and fishing) — value rising or falling in Nicaragua?
- Over the last ten years it is up 47.0%. The long-run trend across the full record is rising.
- Where does this Nicaragua data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Net Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 29 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
As part of the FAO Agriculture Capital Stock (ACS) database, the Statistics Division of FAO publishes country-by-country data on physical investment in agriculture, forestry and fishing as measured by the System of National Accounts (SNA) concept of Gross Fixed Capital Formation (GFCF). Additional variables included in the ACS are Net and Gross Capital Stock, Consumption of Fixed Capital, the Agriculture Investment ratio, and the Gross Fixed Capital Formation Agriculture Orientation Index. The FAO Agriculture Capital Stock Database is an analytical database: whenever available, the database integrates official National Accounts data harvested from the UNSD National Accounts Main Aggregates Database (UNSD AMA) and the OECD Annual National Accounts Database (OECD ANA). The database is further supplemented by OECD Structural Analysis database (OECD STAN) and, in a few cases, data from country’s statistics websites. If the full set of official data is not available for any specific country, imputation methods are applied to obtain estimates over the complete time series. Many data points in ACS are estimated and are flagged as such; they do not represent official submissions by Member Countries. With a view of producing internationally comparable net capital stock estimates, the Perpetual Inventory Method (PIM) with a constant geometric depreciation rate is employed to impute missing data. The Perpetual Inventory Method is a well-established economic model to calculate Net Capital Stocks (NCS) and Consumption of Fixed Capital (CFC) from time series of Gross Fixed Capital Formation (GFCF). Specifically, annual measures of the NCS are obtained from cumulating historical series on physical investment flows and deducting the part of assets that are depreciated (the Consumption of Fixed Capital that occurs in every period). In order to implement the PIM, long time series on aggregate GFCF in agriculture, forestry and fishing is required.An attempt is made to rely as much as possible on National Accounts data published by the OECD and UNSD. When country data are partially or fully missing, econometric techniques to impute missing observations are employed. Depending on the pattern of data missingness for the countries, different imputation methods are applied (from among the ARIMAX, PANEL regression, and OLS approaches) for the data series from 1995 to 2022. The values of Agriculture Capital Stock related indicators for 2023, including Agriculture Investment Ratio, Agriculture Orientation Index, Net Capital Stock, Gross Fixed Capital Formation and Consumption of Fixed Capital, are estimated using the Holt-Winters (HW) method (Cipra et al., 1995). The HW method is an exponential smoothing method for forecasting the annual values of economic variables. In this context, the HW method relies on existing (historical) values of the Agriculture Capital Stock. The predicted value is an extrapolation of the historical values to the specified target date, which extends the timeline without considering seasonality in the annual series.All data series in the database are provided both in national currencies and in US dollars as well as in current prices and constant prices with base year 2015.