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0 3. 0 fuel 7. 2 3. 2 2. 5 gas and electricity, rented and tenant - 7. 2 4. 4 1. 1 fruit and vegetables, imported 6. 3 2. 8 0. 7 dental fees 6. 3 4. 8 0. 9 books 6. 3 1. 6 0. 4 sources : statistics sweden and the riksbank. note. the calculations are made using monthly data expressed an annual percentage change. the weights for all groups included in the calculation add up to 100. 19 the calculations are based on annual percentage changes for 68 components that the riksbank usually studies. the components have been ranked from the one with the highest standard deviation to the one with the lowest. the period analysed is 1995 to 2019. 11 table 2. components of the cpif with the lowest volatility 1995 - 2019 sub - index of the cpif standard average weight deviation rent 1. 0 1. 9 9. 6 alcohol, restaurant visits 1. 2 2. 3 1. 0 personal hygiene ( services ) 1. 3 3. 3 1. 8 garage costs 1. 3 2. 1 0. 2 water and sewerage, refuse collection, 1. 3 2. 7 1. 0 food ( outside the home ) 1. 4 2. 6 5. 4 lottery, pools 1. 4 1. 3 1. 1 alcohol, purchased in store 1. 5 1. 1 2. 1 fizzy drinks, light beer 1. 5 0. 9 0. 8 entertainment and recreation 1. 6 2. 0 3. 5 personal hygiene ( goods ) 1. 7 1. 0 1. 3 capital stock 21 1. 9 4. 6 3. 3 funeral, home insurance, bank, education 2. 0 2. 8 2. 6 diverse leisure goods 2. 0 0. 3 0. 5 furniture, carpeting and lighting 2. 0 0. 2 2. 0 sources : statistics sweden and the riksbank. note. the calculations are made using monthly data expressed an annual percentage change. the weights for all groups included in the calculation add up to 100. figure 6 shows the fifteen components with the highest volatility according to the procedure above, aggregated into an index ( see dark blue line ). the total weight of these goods and services in the cpif is close to 17 per cent. the red line in the figure also shows an aggregate measure for the components with the lowest volatility. their weight in the