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    Statistics based on roads and addresses

    Reach your target audience with statistics on roads and addresses, This product allows you to rank roads or streets in a particular geographical area according to where you are most likely to hit a specific audience., Get assistance selecting roads, The product is designed for those who want to reach a specific target group, for example in connection with marketing or other promotional activities. For example, if your company manufactures child bike seats, then this product will help you to only distribute advertising matter on the roads where there is a high proportion of families with at least one child under four years., Multiple options, You can rank the roads or streets in many different ways, for example after the following variables:, household income, educational level, age or sex, List of variables, Documentation - standard variables for statistics on roads and addresses, Combine information, You can also combine the different variables in order to reach exactly the target audience of your interest. Again, if you sell child bike seats at the high end of the market, you can combine the number of families with at least one child under four with a level of household income., Statistics based on roads and streets step by step, Roads are ranked based on statistics, All households are first divided into smaller groups according to the type of road where they are located and, if relevant, according to the type of house. Subsequently, households are grouped into clusters or groups of at least 400 households, which then form the basis for statistics, e.g. household income in intervals. The clusters of households can be formed in three different ways in increasing detail and thus also in precision., The level of detail is also reflected in the price. You can read more about how we create household clusters here:, How do we create clusters, Household clusters with type of housing, Household clusters without type of housing, Prices, Prices per variable vary between approx. DKK 10,000 for the simplest ranking for one municipality to approx. DKK 70,000 for the most detailed variant for the entire country. See the detailed price list here:, Pricelist_RoadsAddresses_2025 - English, Ordering, Please click on the button below and fill out the form. , ORDER, Please note that by ordering you accept Statistics Denmark's General Terms and Conditions of Agreements., Contact information, DST Consulting, tel: +45 3917 3600, Allan Hansen, tel: +45 3917 3168, Related products, Statistics on the Danish national grid, Staistics based on distances or neighbourhoods,  

    https://www.dst.dk/en/TilSalg/produkter/geodata/vejsegmentering

    Ghana 2019-2023

     , Statistics Denmark is implementing the first phase of a Strategic Sector Program financed by the Ministry of Foreign Affairs in Ghana. Our partner is the Ghana Statistical Service (GSS) which is the main producer of official Statistics in Ghana., The overall objective of the Strategic Sector Program in Ghana is to lay the foundation for a statistical system that needs fewer surveys, while at the same time having more and higher quality data. To reach this objective the cooperation supports Ghana in:, strengthening the foundation of evidence-based decision making at all levels in Ghana by reinforcing the quality, dissemination and communication of relevantstatistics to users in Ghana andinternational organisations working with Ghana,, boosting the modernisation of the nationalstatistical system in Ghanaby strengthening data and quality management and new data sources in the entire statistical production process, , improving the monitoring and reporting of the UN Sustainable Development Goals in Ghana., The project is structured around seven outcomes and associated outputs:, A. Use of Administrative Data Sources for Statistical Production Increased, Output A1: Analysis of demographic data available in GSS, BDR and NIA, Output A2: Ghana Immigration Service data transferred in second pilot, Value and use of administrative data demonstrated to decision-makers and media, B. Improved IT with focus on data storage and dissemination (databases and databank)., Output B1: IT system setup for pilot data transfer and storage defined, Output B2: Statistical Databank developed and launched, C. Quality and methodology in statistical production are imptoved and harmonised throughout institution., Output C1: Structure and processes for quality principles are formalised and standardized, Output C2: Change towards increased unified methodology mapped and roadmap finalised, D. Accuracy and Coverage of Economic Statistics improved., Output D1: , Consumer Price Index transformed from 10 to 16 r, egions and updated, Output D2: Unit Value Index updated and improved , Output D3: National Accounts Database System introduced, Output D4: Input/Output tables methodology introduced, Output D5: Environmental Accounts/Green GDP methodology introduced, E. Staff trained in general statistical competences, Output E1: , Staff trained in R or Python software, Output E2: Staff trained in Generic Statistical Business Process Model (GSBPM), Output E3: Staff trained in Sampling Technique,  , Watch the video about the Strategic Sector Cooperation in Ghana between Statistics Denmark and Ghana Statistical Service

    https://www.dst.dk/en/consulting/projects/ghana-morocco-and-vietnam-2019-2024/ghana-2019-2023