Country register
🇸🇪 Sweden — official public-data APIs & datasets
The continuously verified register lists 10 official sources for Sweden: 9 APIs and 1 datasets published by government institutions, of which 3 are currently verified by live checks. Every entry links its official documentation and carries proof-based officialness scoring.
Statistics Sweden Statistics Sweden - Statistics Sweden's viewing service INSPIRE
Statistics Sweden (SCB) - Statistics Sweden's INSPIRE display service contains the data sets: PD.Population distribution.Total population, PD.Population distribution.Gender, PD.Population distribution.5year classes, US.AdministrativeandSocialPublicServices.Government and Municipal Offices, US.AdministrativeandSocialPublicServices.Preschools.
LST Statistics Sweden National Management Index 2005-2015, Index 1 Nat normalisation
National management index with national normalisation. Aims to give an overview of the pressure for change in the landscape in terms of the national average. The change pressure reported by the analysis is for population and settlements. Statistics on the number of residents, the number of properties and the assessment value are compared between 2005 and 2015 to see if the pressure has increased or decreased in terms of the national average. The pressure is reported in four different indices. The reason why there are different indices is so that the user can use the result in different geographical scales. This is index 1, below is a brief explanation of this index. For a more detailed description, please refer to the attached method description Index 1 has 9 classes and is o-filtered. This is suited if you as a user should look at, for example, the difference between localities The analysis was carried out by Statistics Sweden at the request of the County Administrative Board. When using the material, SCB must be indicated as the source. The material may not, in whole or in part, be resold or otherwise used for commercial purposes.
Acid sulphate soil
The product ‘Sur sulphate soil’ consists partly of a surface-covering modelling and partly of collected point observations. Both of these data sets show the presence of acid sulphate soil. The surface-covering modeling covers the coastal areas of Västernorrland, Västerbotten and Norrbotten, where a surface-covering map has been developed. In other parts of the country there is not enough data to produce a map and there are therefore only point observations. Hopefully in the future it will be possible to produce a map that covers all parts of Sweden where acid sulphate soils are present. In SGU report 2019:13 (Becher et al. 2019) the soils are described in more detail, as well as how they are examined and classified. The maps can be used to identify areas where it is: • important to avoid land use that could lead to negative impacts from acid sulphate soil or • appropriate to take measures to reduce the environmental impact of soils The modeled map shows the predicted distribution of acid sulphate soil. The point observations come from mapping and sampling of acid sulphate soils carried out within various projects at SGU. Both the point observations and the surface-covering model are divided into three classes: • ‘Non-acid sulphate soil’ • ‘Active acid sulphate soil on potential acidic sulphate soil’ • ‘Potential acid sulphate soil’ In addition, for each modelled class, there is a separate break that shows how safe the classification is in each cell (from 0 – 100 percent probability). In southern Sweden, acidic sulphae soils are often found in areas that are reported on the soil type map as mud clay, clay mud or mud. It is therefore possible to use the point observations in combination with the soil type map to get an overview of where acidic sulphate soils may occur. The point objects reported are also included in the SGU product called Soil Layer Consequences. There is more information about the soils of the sites and the power of the soil layers. The surfa.
Geophysical ground measurements, gravity interpolated (overview)
Measurements of gravity can be used to map variations in the mass distribution in the Earth's crust. These variations are due to differences in the composition of the bedrock. Geophysical ground measurements, gravity interpolated (overall) contains grid data that illustrates the variations that exist in Sweden's gravity field, expressed as Bougueranomali. From point-by-point measurements of gravity throughout Sweden, Bougueranomalier (mGal) has been calculated in the reference field RG82. These have then been gridded with a cell size of 500m x 500m. From the grid, coordinate Bougueranomalies have been extracted with the same point spacing corresponding to the grid's cell size into a csv file.
Groundwater supply in small reservoirs
The data set Groundwater supply in small reservoirs shows a calculation of groundwater supply for water supply in Sweden with a focus on small groundwater reservoirs. The calculation is based on a number of assumptions and a relatively general base material and is associated with uncertainties. SGU considers that the presented calculated groundwater availability may be relevant and useful for comprehensive risk assessment and planning of water abstraction from small groundwater reservoirs. However, SGU considers that the results are generally not sufficiently precise and detailed to assess water availability and the risk of water scarcity for individual properties. Groundwater availability in small reservoirs includes a nationwide calculation and the result is presented in the unit l/day/ha (litres per day per hectare) in a break with cell size of 100x100 m.
Hydraulic conductivity in mountains
The data set ‘Hydraulic conductivity in rock’ includes the calculated hydraulic conductivity (K) of the rock closest to rock-drilled wells from the Well Archive and an interpolation of these values. In addition to uncertainty in the input data, a number of assumptions are included in the calculations, which entails some uncertainty in the final result. Uncertainty in calculated hydraulic conductivity can be significant for an individual well. This means that the uncertainty of interpolated hydraulic conductivity in areas with few wells is great. The product is primarily aimed at specialists in hydrogeology. It can be used as a basis for hydrogeological investigations where groundwater in rock is an important factor to consider, such as individual water supply, tunnels, quarries and mines. Due to the uncertainties and limitations in the documentation, as well as the purpose and requirements of the investigation, additional investigations may be required. But even in these cases, the dataset can be valuable in initial investigations. The interpolation includes a nationwide calculation and the result is presented in the unit m/s (meters per second) in a grid with cell size of 100x100 m. Estimated hydraulic conductivity in rock includes the subset of rock-drilled wells in the Well Archive that SGU deems it reasonable to use for this purpose.
Soil depth model
The soil depth model gives a very general picture of the power of the soil cover. The soil depth has been calculated by interpolation of known soil depth data, obtained, for example, through drilling. To support the interpolation between observation points, surface-covering soil type information has been used. Soil depth is of great importance in a variety of areas. Some examples are planning of different types of construction, infrastructure and groundwater protection. Such planning includes finding appropriate technical solutions and cost estimates depending on the depth of the soil. In many cases, you want to avoid large soil depths, for example, to avoid high costs associated with drilling. In other cases, large soil depths are an advantage, for example because the soil layers have a large storage capacity for groundwater. Furthermore, soil depth data together with information on soil type are important in hydrological modelling.