The recently introduced Local Enterprise Partnerships (LEPs) should be meticulous in identifying barriers that impede growth in local and regional economies and subsequently apply the necessary strategic planning policies to overcome socio-economic issues. Related to this, the specific focus of the following briefing paper analyzes the methodological steps required by policy makers in the Greater Birmingham and Solihull LEP to correctly assess current issues in order to apply appropriate strategic policy action. Furthermore, the report clarifies possible indicators that provide a picture of socioeconomic conditions in the LEP, in parallel recommendations on reliable data sources will be provided. Important investigations will be carried out regarding the monitoring and measurement of indicators for the future planning strategy in the LEP. The need to measure outcomes from data research in space policy is currently absent from the current Local Government Performance Framework (RTPI.org.uk). Significantly, the spatial planning system requires that the development plan and core strategy are created on a solid basis of credible evidence. Methodology: Recommendations for indicator development, research and analysis. Motivation The fundamental reason for analyzing indicators is to explore their spatial distribution patterns and investigate the degree to which there is measurable covariation and interactive effect between different issues of the studied phenomenon (Wong 2006). Such analysis is generally guided by existing theories about the relationship between different factors or variables. There are, however, major difficulties when connecting independent variables and measuring these variables in p...... middle of paper ......d for each list: the size of the house (in square feet), the number of bedrooms bedroom, the average income of the respective neighborhood according to census data and a subjective assessment of the attractiveness of the house. Once this information is gathered for various homes, it would be interesting to see if and how these measures relate to the price at which a home is sold. For example, you may learn that the number of bedrooms is a better indicator of the price at which a home sells in a particular neighborhood than how "nice" the home is (subjective rating). You may also detect “outliers,” which are homes that really should sell for more, given their location and features. However, there are downsides to using the regression model for prediction, for example it assumes that the current model remains valid for the predicted observations.