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[31_​206] Household expenditure quintile

Updated on DBnomics on January 14, 2023 (12:39 AM).

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Frequency [FREQ] (1)
Territory [REF_​AREA] (28)
Indicator [DATA_​TYPE] (1)
Measure [MEASURE] (1)
Expenditure quintile [EXPEND_​QUINTILE] (5)
Household number of components [NUMBER_​HOUSEHOLD_​COMP] (6)
Household typology [HOUSEHOLD_​TYPOLOGY] (12)
Professional condition [LABPROF_​STATUS_​B] (7)

This dataset has 250 series:

Series code 200520062007200820092010201120122013
[A.IT.SPESA_​QUINTO.1.1.99.23.99] 30.2 29.7 29.6 30.4 31.6 35.5 34.3 32.3 35.7
[A.IT.SPESA_​QUINTO.1.1.99.3.99] 6.6 7 7.9 7 6.1 6.4 7 7 6.3
[A.IT.SPESA_​QUINTO.1.1.99.4.99] 8 5.3 5.3 6.1 7.7 7.2 8.6 9.8 5.2
[A.IT.SPESA_​QUINTO.1.1.99.5.99] 22.2 22 21.5 19 19.1 18.1 18.7 14.6 13.2
[A.IT.SPESA_​QUINTO.1.1.99.8.99] 9.9 9.8 9.4 9.8 11.2 9.7 10.1 12.1 10.8
[A.IT.SPESA_​QUINTO.1.1.99.9.99] 9.8 10.1 10.3 11.3 13.3 7.5 10 9.8 10.5
[A.IT.SPESA_​QUINTO.1.1.99.99.1A1] 19.7 7.9 7.3 7.1 6.8 7.6 7.4 9.3 10.8
[A.IT.SPESA_​QUINTO.1.1.99.99.1AB] 11.7 17.8 16.8 20.9 17.8 18.3 19.3 19.1 21.3
[A.IT.SPESA_​QUINTO.1.1.99.99.1B1] NA 11 11.3 10.6 11.8 11.3 10.3 11.2 10.6
[A.IT.SPESA_​QUINTO.1.1.99.99.1B2] NA 24.1 25.1 25.7 26.6 26.1 26.9 26.2 28.5