Agricultural land (sq. km) in Sweden was reported at 30029 sq. Km in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Sweden - Agricultural land (sq. km) - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

Sweden: Agricultural land, sq. km.: The latest value from 2021 is 30029 sq. km., a decline from 30055 sq. km. in 2020. In comparison, the world average is 245857 sq. km., based on data from 193 countries. Historically, the average for Sweden from 1961 to 2021 is 34192 sq. km.. The minimum value, 29741 sq. km., was reached in 2000 while the maximum of 42370 sq. km. was recorded in 1961.

Sweden SE: Agricultural Land data was reported at 30,398.000 sq km in 2015. This records an increase from the previous number of 30,327.000 sq km for 2014. Sweden SE: Agricultural Land data is updated yearly, averaging 34,370.000 sq km from Dec 1961 (Median) to 2015, with 55 observations. The data reached an all-time high of 42,370.000 sq km in 1961 and a record low of 30,327.000 sq km in 2014. Sweden SE: Agricultural Land data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sweden – Table SE.World Bank: Land Use, Protected Areas and National Wealth. Agricultural land refers to the share of land area that is arable, under permanent crops, and under permanent pastures. Arable land includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result of shifting cultivation is excluded. Land under permanent crops is land cultivated with crops that occupy the land for long periods and need not be replanted after each harvest, such as cocoa, coffee, and rubber. This category includes land under flowering shrubs, fruit trees, nut trees, and vines, but excludes land under trees grown for wood or timber. Permanent pasture is land used for five or more years for forage, including natural and cultivated crops.; ; Food and Agriculture Organization, electronic files and web site.; Sum;

Agricultural land area of Sweden fell by 0.09% from 30,055 sq. km in 2020 to 30,029 sq. km in 2021. Since the 0.15% upward trend in 2019, agricultural land area slipped by 0.06% in 2021. Agricultural land refers to the share of land area that is arable, under permanent crops, and under permanent pastures. Arable land includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result of shifting cultivation is excluded. Land under permanent crops is land cultivated with crops that occupy the land for long periods and need not be replanted after each harvest, such as cocoa, coffee, and rubber. This category includes land under flowering shrubs, fruit trees, nut trees, and vines, but excludes land under trees grown for wood or timber. Permanent pasture is land used for five or more years for forage, including natural and cultivated crops.

30,029 (sq. km) in 2021. Agricultural land refers to the share of land area that is arable, under permanent crops, and under permanent pastures. Arable land includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result of shifting cultivation is excluded. Land under permanent crops is land cultivated with crops that occupy the land for long periods and need not be replanted after each harvest, such as cocoa, coffee, and rubber. This category includes land under flowering shrubs, fruit trees, nut trees, and vines, but excludes land under trees grown for wood or timber. Permanent pasture is land used for five or more years for forage, including natural and cultivated crops.

Suède: Agricultural land, sq. km.: Pour cet indicateur, La Banque mondiale fournit des données pour la Suède de 1961 à 2021. La valeur moyenne pour Suède pendant cette période était de 34192 sq. km. avec un minimum de 29741 sq. km. en 2000 et un maximum de 42370 sq. km. en 1961.

In 2022, the total amount of forest area in Sweden did not change in comparison to the previous year. The total amount of forest area remained at ******* square kilometers. Forest area refers to areas with natural or planted tree stands (five meters or more in height), excluding agricultural and urban landscapes.Find more key insights for the total amount of forest area in countries like Finland and Norway.

Spectral remote sensing provides tools for biological monitoring and can be used to characterize habitat quality in grasslands. These data have been used to study the relationships between plant community composition and remotely sensed canopy reflectance in grazed grasslands. The study area is located on the island of Öland, Sweden, and the data were collected in grazed grasslands that represent a succession from previously arable fields to old semi-natural pastures. All included grassland sites have been assigned to three different classes of grassland age, defined by the grazing continuity in years: young (5–14 years), intermediate-aged (15–49 years), and old (>50 years). The plant community data consist of presences/absences for 100 vascular plant species in 104 (4 m × 4 m) sample plots positioned in open grassland vegetation. Information on species’ habitat preferences is included and has been used to explain the associations between plant species’ occurrences and the variation in community-level canopy reflectance. The remote sensing data consist of 317 hyperspectral bands in the wavelength regions 414–1322 nm, 1496–1797 nm, and 2050–2351 nm, and show the mean reflectance in each spectral band for the 104 sample plots. The main gradient in the hyperspectral data is characterized by contrasting reflectance values between bands located in the NIR spectra and bands located in the red, blue, and SWIR spectra. Grassland canopy reflectance was able to explain variation in the occurrences of individual plant species, particularly those with distinct habitat preferences. Species' habitat preferences indicated that vegetation reflectance in the red, blue, SWIR, and NIR spectra was linked to the plant-availability of mineral nitrogen. In contrast, species’ phosphorus preferences showed stronger associations with reflectance in the green and red-edge spectra. Methods The study area (centred on 56°40'49.0"N 16°33'58.0"E) measures approximately 5 km × 5 km and represents an agricultural mosaic landscape near the village of Algutsrum on the Baltic island of Öland, Sweden. The overall topography is flat, and the soils are neutral to basic (mean soil pH=7.0). The studied grassland sites were grazed by cattle and represent a succession from previously arable land to old semi-natural grassland. The ages of the grasslands have been determined with the help of historical map data (see Johansson et al., 2008), and the included sites are assigned to three categories of grassland age (defined by the number of years since the first historical map where the site was classified as grassland): young (5–14 years), intermediate-aged (15–49 years), and old (>50 years). Data are presented for 104 (4 m × 4 m) sampling plots that were positioned in open and relatively homogeneous grassland vegetation. Each plot belongs to a pair of plots in a total of 52 grassland sites (17 young, 18 intermediate-aged, and 17 old). Grassland site selection and the positioning of sampling plots were carried out to minimize edge effects and shadows – detailed descriptions of the procedure are given in Möckel et al. (2014). Data on the grassland canopy reflectance were acquired on 9 July 2011 by two airborne hyperspectral sensors (Norsk Elektro Optikk AS (NEO), Lörenskog, Norway). The flight height was 1500 m and the spatial resolution in the raw data was 0.5–1.0 m. The spectral data consist of 317 narrowbands: 160 bands from the first sensor (3.6 nm bandwidth; 414–991 nm), and 156 bands from the second sensor (6.0 nm bandwidth; 991–1322 nm, 1496–1797 nm, and 2050–2351 nm). The spectral data were pre-processed following the descriptions given in the section “2.4.1 Remote Sensing Data” in Möckel et al. (2014), and included corrections of atmospheric disturbance and topographic illumination effects, random noise reduction, and conversion of digital values to spectral reflectance. For each sampling plot, mean reflectance for each spectral band was extracted using a 4 m × 4 m pixel window. Vegetation data were collected between 15 May and 15 July 2011. The data represent the presence/absence of 100 vascular plant species in the 104 sampling plots. Information on species’ habitat preferences was extracted from a previous study (Löfgren et al., 2020), and was used to explain species’ relationships with grassland canopy reflectance. The earlier study analysed species’ relationships with variation in soil concentrations of phosphorus, ammonium, and nitrate, and also used latent variable modelling to capture spatially dependent patterns in species occurrences at four fine-to-coarse spatial scales (S1, S2, S3, and S4). The species’ habitat preference values (Phosphorus, Ammonium, Nitrate, S1, S2, S3, and S4) consist of the species’ mean model-response parameters from the analysis in Löfgren et al. (2020). References

Johansson, L.J., Hall, K., Prentice, H.C., Ihse, M., Reitalu, T., Sykes, M.T., & Kindström, M. (2008). Semi-natural grassland continuity, long-term land-use change and plant species richness in an agricultural landscape on Öland, Sweden. Landscape and Urban Planning, 84(3-4), 200–211. https://doi.org/10.1016/j.landurbplan.2007.08.001 Löfgren, O., Hall, K., Schmid, B.C., & Prentice, H.C. (2020). Grasslands ancient and modern: soil nutrients, habitat age and their relation to Ellenberg N. Journal of Vegetation Science, 31(3), 367-379. https://doi.org/10.1111/jvs.12856 Möckel (Astor), T., Dalmayne, J., Prentice, H.C., Eklundh, L., Purschke, O., Schmidtlein, S., & Hall, K. (2014). Classification of grassland successional stages using airborne hyperspectral imagery. Remote Sensing, 6(8), 7732-7761. https://doi.org/10.3390/rs6087732

About 100 headwater streams in SE Sweden were sampled during three consecutive seasons (Summer, autumn, and spring) in 2016 and 2017, to monitor seasonal changes in the geochemical composition of the stream waters. All water samples were analysed for their geochemical element composition (70+ elements). Water samples in southeastern Sweden were taken in August/September 2016, November, and December 2016 and March, and April 2017. The water samples were taken in headwater streams no longer than 2.5 km, without lakes and urban areas, and with less than 5% agricultural land in the catchment (more details can be found in Löfgren et al., 2014 (10.1007/s10661-014-4054-5) and Conrad et al., 2019 (10.1021/acsearthspacechem.9b00237). The data contain more than 70 element concentrations on mostly unfiltered water samples, measured with ICP-MS.

スウェーデンの農地面積の統計データです。最新の2021年の数値「30,029(k㎡)」を含む1961～2021年までの推移表や他国との比較情報を無料で公開しています。csv形式でのダウンロードも可能でEXCELでも開けますので、研究や分析レポートにお役立て下さい。