Performance of NDYP in Rural Areas in England

Funded by: Countryside Agency


January 2000 to January 2001

PSI researchers:

Background, summary and aims


The problem of unemployment in rural areas has recently received increased attention, because of the current weakness of the rural economy and continuing problems of transport and access to jobs and services. These difficulties tend to affect young people disproportionately, leading in some areas to out-migration and changes in the age balance of the rural population. As the government's main strategy to combat youth unemployment, the performance of the New Deal for Young People (NDYP) in rural areas is thus of some importance. This project aims to compare the performance of NDYP in rural and urban areas of England, using a range of measures of service delivery and outcomes.

Study Design

The project will analyse data from the New Deal Evaluation Database, an administrative database maintained by the Employment Service that covers all young people who enter NDYP and tracks their progress through the programme, their destination on leaving, any subsequent claims for unemployment-related benefits and any re-entries to NDYP. Two entry cohorts will be studied - young people who first entered NDYP in September - November 1998, and those who first entered in September - November 2000 - together spanning most of the life of NDYP to date. Both descriptive and modelling techniques will be used to compare performance measures in rural and urban areas. These will include waiting times, number and range of services offered, progress through NDYP, employment on leaving NDYP and subsequent experience of unemployment.


Evaluation research is important if we are to embrace the ideal of evidence-based policy making. This small project forms part of a larger research programme on the evaluation of the New Deal programmes, and focuses on a particular aspect of their operation that may be overlooked in larger studies. It is able to do this by exploiting the potential of administrative data, which can provide up-to-date information about very large numbers of clients at very little cost.