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Resources > Post-16 Publications > National Survey - LA and Ward results

LA and Ward results

Local Authority Unweighted sample size Literacy Numeracy
Entry Level Level 2 Entry Level Level 2
Blaenau Gwent* 17 36% 25% 69% 10%
Bridgend 93 25% 37% 50% 20%
Caerphilly 103 33% 35% 64% 18%
Cardiff 277 17% 41% 51% 24%
Carmarthenshire 85 20% 43% 59% 8%
Ceredigion* 35 16% 46% 45% 26%
Conwy 72 23% 41% 48% 27%
Denbighshire 86 24% 42% 53% 21%
Flintshire 105 24% 43% 50% 23%
Gwynedd 107 29% 42% 63% 14%
Isle of Anglesey* 37 29% 38% 57% 18%
Merthyr Tydfil* 10 32% 32% 63% 14%
Monmouthshire 58 21% 44% 50% 20%
Neath Port Talbot 76 34% 28% 68% 7%
Newport 103 24% 35% 59% 14%
Pembrokeshire 109 25% 29% 66% 15%
Powys 100 13% 52% 35% 35%
Rhondda Cynon Taff 168 26% 29% 56% 11%
Swansea 201 22% 46% 43% 34%
The Vale of Glamorgan* 31 20% 43% 50% 24%
Torfaen* 43 26% 29% 60% 13%
Wrexham 97 29% 36% 53% 17%

Notes:

Survey estimates are used except for local authorites denoted with an asterisk. In these cases, model estimates are used since the unweighted sample size in the local authority is fewer than 50.

The survey data used for the estimates does not include the youth boost, nor interviews from the boost of Welsh-speaking areas.

Disclaimer:

The synthetic estimates are based on a model and represent the expected prevalence of low literacy or numeracy for any ward, given the demographic and social characteristics of that area. To interpret the estimates, it is recommended that users adopt statements such as "given the characteristics of the local population we would expect a prevalence of approximately x% within Ward X".

The estimates can be used to give an indication of the likely prevalence in an area and an indication of where to target resources. They can be used to examine prevalences in the most disadvantaged areas as compared with other groups. However, the estimates should not be used for performance monitoring purposes as they do not take into account any special local conditions which might lead to a greater or smaller prevalence than might be expected given the demographic characteristics of the area.

The model is designed to produce results for 'Entry level or below' and 'Level 2 or above'. The figure for Level 1 is simply what is left once the two modelled results are subtracted. That is why it is labelled 'Level 1 (assumed)'. Since these modelled estimates are much less precise than assessing results from real survey data, it is not recommended to rank order these estimates for performance or comparative purposes.

 
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