August 2021 Data Update – Hull Data Observatory

The Hull Data Observatory has been updated with the following datasets:

CRIME

June and July 2021 monthly and 12 monthly rolling average data was released both in July. The latest July data update was published on the 31^st of August and related reports were published on the 1^st of September.

Economy & Employment

Claimant Count (July 2021) was last updated on the 17^th of August. All affected reports were published by the 17^th of August.

DEPRIVATION

Fuel Poverty Data for the year 2019/20 was last amended on the 13^th of August introducing new Low-Income Low Energy Efficiency (LILEE) metric of fuel poverty that was adopted in the last year of publication.

The sub-regional estimates for 2019 are the first to be published using the LILEE metric. It should be noted these are not directly comparable with previous estimates made for sub-regional fuel poverty under the Low Income High Costs (LIHC) definition. The 2019 LILEE sub-regional fuel poverty model is based on the following seven variables, derived from public and commercial sources:

- Tenure-owner-occupied, private rented, social rented (Experian)
- Dwelling age – pre-1919, 1919 to 1944, 1945 to 1980, post-1980 (Experian)
- Household composition (Experian)
- Mosaic household classifications by postcode
- 15 socio-economic groups as detailed in the Mosaic guide4 (Experian)
- Dwelling type – terraced, detached, semi-detached, bungalow, flat (Experian)
- Government office region (Experian)
- Proportion of households with no qualifications per COA (2011 Census)

A household is considered to be fuel poor following the LILEE metric if it is living in a property with an energy efficiency rating of band D, E, F or G as determined by the most up-to-date Fuel Poverty Energy Efficiency Rating (FPEER) Methodology and its disposable income (income after housing costs (AHC) and energy needs) would be below the poverty line.

Please be reminded that fuel poverty is measured based on required energy bills rather than actual spending. This ensures that households that have low energy bills simply because they actively limit their use of energy at home, for example by not heating their home, are not overlooked.