Opinion polling for the next Italian general election

In the run-up to the next Italian general election, various organisations have been carrying out opinion polling to gauge voting intention.
Results of such opinion polls are displayed in this article. The date range is from after the previous general election, held on 4 March 2018, to the present day.
Poll results are reported at the dates when the fieldwork was done, as opposed to the date of publication. However, if such date is unknown, the date of publication will be given instead.

Party vote

Starting from the beginning of 2019, some polling agencies have polled Free and Equal, others The Left, some others both. The two electoral lists, one for the 2018 general election and the other for the 2019 European Parliament election, have slightly different but partially overlapping compositions: the former includes Article One, the latter the Communist Refoundation Party, while both include Italian Left. Some polls also give data separately for Art.1 and SI.

Graphical summary

2020

Date	Polling firm	Sample size	M5S	PD	Lega	FI	FdI	LS	+Eu	EV	C!	A	IV	Other	Lead
Date	Polling firm	Sample size												Other	Lead
30–31 Jul		1,000	15.8	20.2	24.4	8.4	16.3	3.1	2.0	1.6		2.5	2.5	3.2	4.2
28–30 Jul		1,000	16.7	21.9	22.7	7.9	14.5	3.6	2.5	1.5		2.2	2.2	4.3	0.8
22–27 Jul		1,200	16.0	19.8	26.3	6.2	13.9	3.8	2.1	1.8	1.3	3.1	3.0	2.7	6.5
23–24 Jul		1,000	15.4	20.3	24.7	8.3	16.0	3.0	2.1	1.5		2.7	2.6	3.4	4.4
22–23 Jul		2,200	14.6	20.4	27.6	5.7	14.1	2.9	1.4	1.5		3.0	3.1	5.7	7.2
22–23 Jul		1,000	18.9	19.6	23.1	6.9	18.0	2.9	1.3	2.9		2.5	2.5	1.4	3.5
21–22 Jul		1,500	16.0	21.0	25.4	6.5	15.0	3.4				2.5	3.2	7.0	4.4
20–21 Jul		1,000	15.8	21.8	23.7	7.9	13.9	3.4	2.6	1.6		2.1	2.3	4.9	1.9
20 Jul		–	15.8	20.8	26.5	6.0	13.5	2.1	1.6	1.2	0.8	3.6	3.4	4.7	5.7
15–20 Jul		1,200	15.6	19.3	26.5	6.0	14.2	3.6	2.4	1.9	1.2	3.3	3.0	3.0	7.2
16–17 Jul		1,000	15.0	20.2	24.9	8.3	16.0	2.9	1.9	1.6		2.9	2.7	3.6	4.7
15–16 Jul		2,200	14.9	20.7	27.8	5.5	14.4	2.6	1.4	1.4		3.2	2.8	5.3	7.1
13 Jul		1,000	16.0	21.0	26.0	7.0	14.0	3.0	2.0	1.0	1.0	3.0	3.0	3.0	5.0
8–13 Jul		1,200	15.3	19.6	26.3	6.3	14.5	3.7	2.2	1.7	1.1	3.1	3.2	3.0	6.7
6–7 Jul		1,000	15.4	22.0	23.9	7.2	13.8	3.0	3.1	1.9		1.6	2.6	5.5	1.9
5–6 Jul		1,000	14.8	20.2	25.6	8.2	15.8	2.5	1.7	1.7		2.8	3.1	3.6	5.4
1–6 Jul		1,200	15.7	20.0	26.6	5.9	14.0	3.8	2.0	1.8	1.3	3.2	2.9	2.8	6.6
3–5 Jul		837	16.7	22.4	26.6	6.4	14.4	3.4	1.4	1.7		2.9	3.4	0.7	4.2
2–3 Jul		1,000	14.6	20.2	25.5	8.2	15.9	2.5	1.7	1.8		2.9	3.0	3.7	5.3
1–2 Jul		2,900	14.9	20.8	27.9	5.8	14.2	2.6	1.8	1.5		3.3	2.8	4.4	7.1
30 Jun–2 Jul		1,496	15.0	21.4	26.6	5.9	14.1	2.6	1.5	1.7	0.4	2.6	3.5	4.7	5.2
24–29 Jun		1,200	16.0	20.3	26.6	5.6	14.2	3.5	2.5	2.0	1.2	2.9	3.0	2.2	6.3
26 Jun		–	16.0	20.2	25.5	7.3	13.6	2.3	1.6	1.2	0.7	3.5	3.4	4.7	5.3
25–26 Jun		1,000	14.5	19.8	25.8	8.2	16.0	2.6	1.7	1.9		2.6	2.9	4.0	6.0
24–26 Jun		1,500	15.8	21.2	26.0	6.0	15.0	3.4				2.5	3.2	6.9	4.8
25 Jun		–	17.0	19.5	28.5	7.0	14.0	1.5	0.5	1.5	1.5	3.0	3.5	2.5	9.0
24–25 Jun		2,400	15.3	20.5	28.4	5.9	14.5	3.5	1.7	1.3		3.2	2.9	2.8	7.9
23–25 Jun		1,000	18.0	20.4	24.0	7.2	16.3	2.3	1.4	1.9		2.8	2.9	2.8	3.6
23 Jun		1,623	16.1	20.0	26.8	6.8	14.4	2.0	1.6	1.8		3.6	4.8	2.1	6.8
22–23 Jun		1,000	15.6	22.2	23.8	7.5	14.0	2.4	2.7	2.0		1.2	3.0	5.6	1.6
17–22 Jun		1,200	15.9	19.3	26.9	6.0	13.6	3.8	2.5	2.4	1.5	3.1	2.9	2.1	7.6
18–19 Jun		1,000	14.5	19.7	25.9	8.3	15.9	2.5	1.6	2.0		2.8	3.0	3.8	6.2
17–18 Jun		2,900	15.0	20.3	28.8	5.6	14.7	2.3	1.5	1.5		2.9	3.3	4.1	8.5
17–18 Jun		800	15.6	19.6	25.5	7.9	13.2	2.6	1.6	1.2	0.4	3.6	2.6	5.3	5.9
15–17 Jun		1,006	16.8	21.2	25.2	7.3	14.3	3.7	2.8			2.2	2.5	4.0	4.0
16 Jun		1,546	16.4	19.9	26.6	6.7	14.0	2.3	1.5	1.8		3.4	4.9	2.5	6.7
15–16 Jun		1,000	16.1	22.0	24.3	7.9	14.2	2.0	2.2	2.2		0.9	2.7	5.5	2.3
15 Jun		–	15.5	19.7	24.7	7.9	13.4	2.9	1.8	1.5	0.8	3.7	3.3	4.8	5.0
10–15 Jun		1,200	16.2	19.0	26.9	6.1	14.1	3.7	2.3	2.2	1.3	3.0	2.9	2.3	7.9
11–12 Jun		1,000	14.8	19.8	25.9	8.4	15.5	2.6	1.8	1.7		3.0	2.9	3.6	6.1
11 Jun		–	16.0	19.5	28.0	7.5	14.0	1.0	0.5	1.5	1.5	3.0	3.5	4.0	8.5
10–11 Jun		1,200	17.1	21.3	23.5	7.0	17.5	2.4	1.2	1.5		2.7	2.3	3.5	2.2
10–11 Jun		2,200	14.8	20.8	28.3	5.9	15.0	2.5	1.4	1.3		2.9	3.0	4.1	7.5
9–11 Jun		1,617	15.3	20.8	27.2	6.1	13.4	2.8	1.7	1.7	0.5	2.5	3.5	4.5	6.4
9–10 Jun		1,624	16.0	20.0	26.8	7.0	14.2	2.1	1.4	1.6		3.0	5.0	2.9	6.8
8–9 Jun		1,000	17.2	21.4	25.0	7.6	14.4	2.0	1.7	2.3		1.5	1.9	5.0	3.6
3–8 Jun		1,200	15.8	19.1	27.3	5.6	14.4	4.0	2.2	2.1	1.1	2.7	3.0	2.7	8.2
4–5 Jun		1,000	14.9	20.0	26.2	8.2	15.4	2.5	1.9	1.6		2.7	2.8	3.8	6.2
4 Jun		800	15.8	19.7	25.3	7.8	13.7	2.8	1.8	1.6	0.7	3.4	3.2	4.2	5.6
3–4 Jun		3,300	15.2	20.8	28.8	5.6	14.5	2.2	1.6	1.5		2.7	3.2	3.9	8.0
1–2 Jun		1,762	15.8	20.3	27.2	6.9	14.5	2.2	1.5	1.6		2.6	4.6	2.8	6.9
27 May–1 Jun		1,200	16.0	19.5	27.0	6.0	13.9	3.7	2.4	1.9	1.1	2.8	3.0	2.7	7.5
27–30 May		1,009	15.5	21.6	26.2	6.5	15.0	2.7	2.3		0.1	2.4	3.1	4.6	4.6
26–30 May		1,590	14.4	22.0	27.5	5.9	15.9	2.3	0.9	1.7		2.4	2.5	4.7	5.5
28–29 May		1,000	15.0	20.3	26.0	8.2	15.0	2.7	1.8	1.7		2.5	3.1	3.7	5.7
28 May		800	15.5	21.2	25.4	6.9	14.5	3.5	2.1	2.0	1.1	2.9	2.5	2.4	4.2
27–28 May		3,300	15.3	21.1	29.5	5.7	14.0	2.4	1.4	1.3		2.3	3.5	3.5	8.4
26 May		1,758	15.7	20.6	27.1	6.8	14.6	2.2	1.5	1.7		2.6	4.7	2.5	6.5
25–26 May		1,000	17.5	20.9	25.3	7.4	14.3	2.4	1.6	2.4		1.5	1.5	5.2	4.4
24–25 May		1,000	15.2	20.8	25.8	8.1	14.9	2.7	1.7	1.7		2.4	3.2	3.5	5.0
20–25 May		1,200	15.7	20.2	26.9	6.3	14.5	3.4	2.1	1.7	1.3	2.9	2.7	2.3	6.7
21–22 May		1,000	15.1	20.7	25.9	8.1	14.9	2.8	1.6	1.6		2.4	3.3	3.6	5.2
21 May		800	15.5	20.5	24.9	7.7	14.5	2.8	1.8	1.2	0.5	3.4	2.7	4.5	4.4
23 Apr–21 May		1,000	16.7	21.2	24.3	7.4	16.2	1.8	1.3	1.8		2.2	3.0	4.1	3.1
20–21 May		2,000	15.4	20.8	24.6	7.8	14.0	2.8	1.6	1.5	0.8	3.2	3.0	4.5	3.8
20–21 May		2,700	15.0	21.5	29.2	5.9	14.1	2.5	1.3	1.5		2.3	3.3	3.4	7.7
19 May		1,725	15.4	20.9	26.9	6.8	14.3	2.3	1.6	1.8		2.6	5.0	2.4	6.0
18–19 May		1,000	17.2	21.6	24.6	7.2	14.7	2.5	1.6	2.2		1.8	2.2	4.5	3.0
13–18 May		1,200	16.0	20.6	27.0	5.7	14.0	3.7	2.2	1.5	1.1	2.6	3.0	2.6	6.4
14–16 May		–	15.0	21.5	28.5	6.5	13.5	2.0	1.5	1.0		2.0	4.0	4.5	7.0
14–15 May		1,000	15.2	20.8	26.2	8.1	14.7	2.7	1.6	1.7		2.0	3.4	3.6	5.4
14 May		–	15.0	21.0	27.0	7.0	14.0	2.0	1.0	1.5	1.5	3.0	3.5	3.5	6.0
14 May		–	15.3	21.6	25.8	6.7	14.1	3.4	2.0	2.0	1.1	2.5	3.2	2.3	4.2
13–14 May		3,300	14.8	21.6	29.4	6.2	14.3	2.7	1.5	1.1		2.2	3.0	3.2	7.8
12–14 May		1,781	15.0	21.9	26.8	6.3	13.1	2.8	1.6	1.6	0.6	2.1	3.6	4.6	4.9
12–13 May		1,500	16.0	21.0	26.0	6.0	14.2	3.5					3.0	10.3	5.0
12–13 May		1,623	15.4	20.8	27.3	6.6	14.2	2.2	1.6	2.0		2.4	5.0	2.5	6.5
11–12 May		1,000	16.9	22.0	24.6	7.5	14.2	3.0	2.1	1.8		2.0	2.6	3.3	2.6
6–11 May		1,200	16.7	19.5	27.8	6.0	14.6	3.1	2.0	1.8	1.1	2.5	2.7	2.2	8.3
7–8 May		1,000	14.9	20.9	26.6	8.0	14.6	2.8	1.7	1.8		1.8	3.5	3.4	5.7
7 May		800	14.9	21.6	26.1	6.6	13.7	3.5	2.0	2.0	1.0	2.5	3.5	2.6	4.5
6–7 May		3,600	15.0	21.4	29.5	6.0	14.0	2.6	1.5	1.3		2.0	2.9	3.7	8.1
6 May		800	15.2	21.3	26.0	7.3	14.0	2.4	1.7	1.4	0.7	2.5	2.8	4.7	4.7
5–6 May		1,589	15.1	20.7	27.9	6.4	13.9	2.2	1.5	2.1		2.3	5.0	2.9	7.2
4–5 May		1,000	16.8	22.9	24.9	7.2	13.8	2.8	2.1	2.0		1.1	2.6	3.8	2.0
4 May		1,000	19.0	22.0	25.0	6.0	13.0	2.0				2.0	3.0	8.0	3.0
29 Apr–4 May		1,200	16.2	20.2	27.3	5.3	14.9	3.3	1.9	1.8	1.0	2.5	3.0	2.6	7.1
30 Apr		–	15.0	21.5	27.5	7.0	14.0	1.5	1.5	1.0	1.5	3.0	4.0	2.5	6.0
30 Apr		1,000	14.3	21.0	27.2	8.0	14.4	2.7	1.7	1.9		1.9	3.6	3.3	6.2
29–30 Apr		1,500	16.5	21.0	27.0	5.6	14.0	3.4					3.0	9.5	6.0
29–30 Apr		4,400	14.7	21.6	29.8	5.9	13.9	2.4	1.3	1.5		2.1	3.2	3.6	8.2
28–30 Apr		1,006	16.3	21.8	26.6	6.2	13.6	3.6	2.0			2.5	2.2	5.2	4.8
29 Apr		800	14.7	21.6	26.6	6.8	13.2	3.8	2.0	1.9	1.0	2.4	3.8	2.2	5.0
28–29 Apr		1,635	14.7	20.7	28.4	6.6	13.7	2.5	1.5	2.0		2.3	5.1	2.5	7.7
27–28 Apr		1,000	16.4	22.9	25.6	7.9	12.0	3.2	2.0	2.3		1.2	2.9	3.6	2.7
22–27 Apr		1,200	15.4	20.3	28.2	6.1	13.8	3.4	2.1	1.9	1.0	2.3	3.4	2.1	7.9
23–24 Apr		1,000	14.0	21.1	27.9	7.7	14.3	2.8	1.6	1.8		2.0	3.4	3.4	6.8
22–23 Apr		1,000	18.6	21.3	25.4	7.5	14.1	2.0	1.7	1.9		1.4	3.1	3.0	4.1
22–23 Apr		2,200	14.2	21.8	30.1	5.7	13.9	2.3	1.5	1.5		2.4	3.3	3.3	8.3
21–23 Apr		1,643	14.1	22.4	29.2	5.6	13.5	2.4	1.3	1.7		2.8	3.3	3.7	6.8
21–22 Apr		1,789	14.7	20.9	28.8	6.1	13.8	2.4	1.7	1.9		2.3	5.1	2.3	7.9
20–21 Apr		1,000	16.4	22.9	25.9	7.7	12.5	3.6	1.5	2.1		1.0	1.9	4.5	3.0
15–20 Apr		1,200	14.4	20.0	29.5	5.8	13.3	3.5	2.0	1.9	1.3	2.6	3.1	2.6	9.5
16–17 Apr		1,000	14.0	21.4	28.3	7.3	14.5	3.0	1.4	1.9		1.6	3.0	3.6	6.9
16 Apr		–	14.7	21.8	27.0	6.3	12.9	3.9	2.0	1.8	0.7	2.3	4.5	2.1	5.2
15–16 Apr		800	14.7	21.0	27.5	6.4	13.8	2.3	1.5	1.6	1.0	2.2	3.2	4.8	6.5
15–16 Apr		3,400	14.9	22.2	30.5	5.3	13.2	2.6	1.1	1.3		2.1	3.2	3.6	8.3
14–16 Apr		1,441	14.8	21.4	27.6	5.8	12.9	2.8	1.8	1.8	0.5	2.2	3.7	4.7	6.2
14–15 Apr		1,802	15.1	21.1	29.2	5.9	13.7	2.3	1.7	1.8		2.3	5.0	1.9	8.1
8–13 Apr		1,200	14.2	19.9	29.7	5.3	12.8	3.8	2.4	2.1	1.3	2.4	3.6	2.5	9.8
9–10 Apr		1,000	14.1	21.8	28.5	7.0	14.5	2.8	1.5	1.8		1.7	2.8	3.5	6.7
9 Apr		–	15.0	21.5	29.0	5.5	14.0	1.5	1.5	1.0	2.0	3.0	4.0	3.0	7.5
9 Apr		–	14.6	22.1	26.9	6.2	12.9	3.8	2.1	1.8	0.5	2.2	4.5	2.4	4.8
8–9 Apr		2,200	14.2	21.9	30.8	5.7	12.8	2.3	1.3	1.7		2.5	3.5	3.3	8.9
7–8 Apr		1,756	15.0	21.4	29.1	5.7	13.8	2.2	1.8	1.8		2.2	5.0	2.0	7.7
6–7 Apr		1,000	16.0	22.6	26.0	7.5	12.5	3.5	1.8	2.2		1.0	2.0	3.5	3.4
1–6 Apr		1,200	14.5	20.1	30.7	5.2	12.0	3.5	2.3	2.3	1.1	2.5	3.4	2.4	10.6
2–3 Apr		1,000	13.7	21.8	29.0	6.9	14.4	2.7	1.6	1.8		1.6	2.9	3.6	7.2
2 Apr		–	14.5	21.9	27.5	6.2	12.8	3.7	2.0	1.9	0.6	2.1	4.5	2.3	5.6
1–2 Apr		2,200	13.8	21.8	30.8	5.6	12.7	2.4	1.5	1.5		2.8	3.2	3.9	9.0
31 Mar–1 Apr		1,802	14.7	21.3	30.3	5.8	13.1	2.1	1.8	1.8		1.9	5.0	2.2	9.0
30–31 Mar		1,000	15.6	22.6	26.2	7.4	12.8	3.9	2.0	1.8		1.6	1.9	3.9	3.6
25–30 Mar		1,200	14.9	19.2	31.0	5.3	12.3	3.3	2.2	2.2	1.0	2.7	3.3	2.6	11.8
26–27 Mar		1,000	13.6	22.0	28.9	6.9	14.2	2.6	1.7	1.6		1.7	3.1	3.7	6.9
25–26 Mar		2,200	13.6	21.7	32.1	5.0	11.8	2.1	1.5	1.5		2.8	3.4	4.5	10.4
24–26 Mar		1,000	15.3	20.6	31.1	6.8	13.3	2.1	1.0	2.0		1.0	3.5	3.3	10.5
25 Mar		800	14.5	21.5	27.7	6.7	13.5	2.1	1.8	1.3	0.4	2.3	3.5	4.7	6.2
24–25 Mar		1,756	14.9	21.0	30.1	6.0	12.7	2.3	1.9	1.7		1.9	5.3	2.2	9.1
23–24 Mar		1,000	15.1	22.9	26.5	7.0	12.7	3.5	2.6	1.6	0.7	1.3	2.2	3.9	3.6
18–23 Mar		1,200	13.8	20.3	30.2	5.7	11.8	3.7	2.2	2.3	1.3	2.6	3.2	2.9	9.9
19–21 Mar		2,000	12.8	23.1	30.6	5.0	13.7	3.1	1.5	2.2		2.0	2.8	3.2	7.5
19–20 Mar		1,000	13.7	22.3	28.6	6.8	14.1	2.6	1.8	1.7		1.8	3.0	3.6	6.3
19 Mar		–	14.0	21.5	29.5	5.7	14.0	1.0	1.0	1.5	1.3	2.0	4.0	4.5	8.0
18–19 Mar		2,200	14.5	20.9	31.2	5.5	12.1	2.4	1.4	1.6		2.4	4.1	3.9	10.3
17–18 Mar		1,812	14.7	21.3	29.7	6.3	12.5	2.5	1.8	1.8		1.9	5.4	2.1	8.4
16–17 Mar		1,028	14.6	21.0	28.8	5.9	13.5	3.5	2.3			2.0	3.3	5.1	7.8
16–17 Mar		1,000	14.9	22.5	27.0	6.6	13.0	3.8	2.4	1.6	0.7	1.0	2.4	4.1	4.5
11–16 Mar		1,200	13.2	20.5	31.0	5.3	12.0	3.5	2.4	2.2	1.2	2.9	3.2	2.6	10.5
12–13 Mar		1,000	13.7	22.0	28.7	6.6	13.7	2.4	1.9	1.8		2.0	3.3	3.9	6.7
11–12 Mar		2,200	15.4	21.0	31.6	5.4	12.4	2.4	1.4	1.6		1.8	3.9	3.1	10.6
10–11 Mar		1,722	14.3	21.1	29.4	6.1	12.7	2.8	1.9	2.0	0.7	2.2	5.3	1.5	8.3
9–11 Mar		1,296	14.0	21.2	28.7	6.0	11.9	3.0	1.6	1.9	0.5	2.4	4.0	4.8	7.5
9–10 Mar		1,000	15.6	22.5	27.0	6.1	13.4	3.3	2.3	1.9	1.0	1.1	2.6	3.2	4.5
4–9 Mar		1,200	13.4	19.6	30.6	5.7	12.0	3.8	2.3	2.4	1.1	2.9	3.5	2.9	11.0
6–7 Mar		1,000	12.5	22.9	31.1	4.6	13.3	2.9	1.4	2.3		2.1	3.0	2.7	8.2
5–6 Mar		1,000	13.6	21.5	29.6	6.8	13.4	2.5	2.0	1.7		2.0	3.2	3.7	8.1
5 Mar		–	14.8	20.0	30.3	6.1	12.1	3.5	2.1	2.2	0.9	2.3	3.5	2.2	10.3
4–5 Mar		2,200	15.3	20.7	32.5	5.0	11.6	2.0	1.5	1.6		2.0	3.9	2.9	11.8
3–4 Mar		1,754	14.7	21.3	29.6	6.1	12.4	2.9	1.8	1.9	0.7	2.2	5.1	1.3	8.3
3 Mar		800	14.6	21.0	28.5	6.5	12.5	2.3	2.0	1.3	0.3	2.6	3.8	4.2	7.5
2–3 Mar		1,000	15.7	22.0	27.2	6.2	13.4	2.8	2.3	2.2	0.9	1.5	2.8	3.0	5.2
26 Feb–2 Mar		1,200	13.7	19.9	30.9	5.7	12.1	3.6	2.1	2.2	1.2	2.8	3.2	2.6	11.0
25–29 Feb		504	14.5	21.0	30.5	6.5	11.0	2.0	2.0	1.5		1.5	5.0	4.5	9.5
27–28 Feb		1,000	13.4	21.2	30.2	7.1	13.1	2.6	1.8	1.5		2.1	3.6	3.4	9.0
27 Feb		1,000	14.0	19.6	31.6	6.3	13.3	1.8	1.6	2.5		1.6	3.5	4.2	12.0
26–27 Feb		2,200	15.3	20.9	32.6	5.1	11.5	2.0	1.4	1.5		2.1	4.0	3.6	11.7
25–26 Feb		1,722	14.6	21.2	30.1	6.4	12.0	2.8	1.9	1.8	0.8	2.1	5.0	1.3	8.9
24–25 Feb		1,000	15.4	21.6	27.7	5.9	13.7	2.5	2.6	2.0	0.6	1.7	3.0	3.3	6.1
19–24 Feb		1,200	13.4	20.1	31.3	5.4	11.3	3.3	2.2	2.3	1.3	3.1	3.8	2.5	11.2
20–22 Feb		503	15.0	20.5	30.5	6.5	10.5	2.0	2.5	1.5		1.0	5.0	5.0	10.0
20–21 Feb		1,000	13.3	21.0	30.6	7.1	12.6	2.5	1.7	1.6		2.4	3.9	3.3	9.6
19–20 Feb		3,100	15.2	20.4	32.2	5.6	11.2	2.3	1.5	1.5		2.3	4.5	3.3	11.8
19 Feb		800	14.2	20.2	31.1	5.9	11.6	3.1	1.9	2.0	1.0	2.3	4.1	2.6	10.9
18–19 Feb		2,000	14.4	21.5	30.1	6.3	11.9	2.6	1.9	1.7	0.8	2.2	5.0	1.6	8.6
17–18 Feb		800	14.4	20.3	31.0	6.2	11.8	2.5	1.0	1.5	0.2	2.7	5.0	3.4	10.7
17–18 Feb		1,000	14.9	20.5	27.5	6.9	12.9	3.2	2.8	1.8	0.7	1.4	3.0	4.4	7.0
16–18 Feb		2,000	14.5	20.8	31.0	5.1	12.4	3.2					4.0	9.0	10.2
16–17 Feb		1,000	13.4	20.8	30.4	7.2	12.5	2.6	1.9	1.8		2.4	3.9	3.1	9.6
12–17 Feb		1,200	13.0	20.6	32.4	5.1	11.3	2.9	1.9	2.3	1.2	3.0	4.2	2.1	11.8
13–14 Feb		1,000	13.5	20.8	30.6	7.3	12.2	2.6	1.9	1.7		2.3	4.0	3.1	9.8
13 Feb		–	14.8	20.2	30.0	6.0	11.0	3.0					4.5	10.5	9.8
12–13 Feb		4,000	15.1	20.0	33.1	5.2	11.3	2.1	1.4	1.2		2.0	4.9	3.7	13.1
11–13 Feb		1,589	14.2	20.8	29.8	5.6	11.0	2.3	1.4	2.0	0.7	2.3	4.2	5.7	9.0
10–13 Feb		1,019	14.4	20.6	29.2	6.2	13.1	3.6	2.6				3.9	6.4	8.6
12 Feb		800	15.0	20.0	30.9	5.9	11.3	3.1	2.0	2.0	1.0	2.1	4.1	2.6	10.9
11–12 Feb		1,518	14.2	21.5	29.9	6.2	11.6	2.6	1.8	1.9	1.1	2.5	5.1	1.6	8.4
10–11 Feb		1,000	14.9	20.1	28.0	6.7	12.7	3.0	2.8	2.0	0.9	1.2	3.2	4.5	7.9
5–10 Feb		1,500	14.0	20.7	32.2	5.4	10.8	2.8	2.0	2.1	1.2	2.8	4.2	1.8	11.5
6–7 Feb		1,000	13.8	20.4	31.0	7.5	11.9	2.5	1.8	1.8		2.4	3.9	3.0	10.6
6 Feb		800	15.2	19.2	31.5	5.9	11.1	3.3	2.0	2.0	0.9	2.2	4.2	2.5	12.3
4–6 Feb		3,200	15.6	20.2	32.5	5.8	10.6	3.3	1.4	1.4		2.2	4.3	2.7	12.3
4–6 Feb		1,460	14.1	21.3	30.0	6.1	11.6	2.5	1.8	1.8	1.0	2.6	5.2	2.0	8.7
3–4 Feb		1,000	15.2	19.8	28.0	7.0	12.4	2.8	3.0	2.4	0.8	1.6	3.2	3.8	8.2
29 Jan–3 Feb		1,500	13.9	19.7	33.3	6.3	10.2	3.1	1.9	2.0	1.1	2.6	4.1	1.8	13.6
30 Jan–2 Feb		1,000	12.7	22.6	31.8	4.8	11.6	2.3	1.1	1.8		2.6	3.8	4.9	9.2
30–31 Jan		1,000	14.3	20.2	31.1	7.5	11.7	2.6	1.7	1.8		2.5	3.7	2.9	10.9
29–31 Jan		505	15.5	20.0	30.5	6.5	10.0	2.0	2.5	1.5		1.0	4.5	6.0	10.5
29–30 Jan		2,300	16.0	20.4	33.4	5.4	10.6	3.3	1.8	1.1		1.9	3.7	2.4	13.0
28–30 Jan		1,000	14.0	20.3	32.0	6.5	12.0	2.6	1.1	1.5		2.3	4.3	3.4	11.7
29 Jan		800	15.4	19.0	31.4	6.0	11.2	3.2	1.9	2.0	1.0	2.3	4.0	2.6	12.4
28–29 Jan		1,589	14.3	21.2	30.1	6.1	11.5	2.5	1.8	1.8	0.9	2.7	5.1	2.0	8.9
27–28 Jan		1,000	15.9	20.0	28.2	6.9	12.0	2.9	3.2	2.4	0.6	1.3	3.6	3.0	8.2
22–26 Jan		1,500	14.9	17.5	33.0	6.0	10.6	3.5	2.2	2.1	1.4	2.5	4.6	1.7	15.5
23–24 Jan		1,000	15.1	19.4	31.7	7.8	11.0	2.5	1.8	2.0		2.4	3.6	2.7	12.3
22 Jan		800	16.0	18.7	31.8	6.5	10.9	2.9	1.7	1.9	0.9	2.2	4.2	2.3	13.1
21–22 Jan		2,400	15.8	19.1	32.5	6.2	11.1	2.3	1.6	1.3	0.6	2.5	3.9	3.1	13.4
20–21 Jan		1,000	16.1	19.9	28.7	7.3	11.3	3.1	3.4	1.9	0.6	1.4	3.9	2.4	8.8
19–20 Jan		1,000	15.3	19.5	31.8	7.9	10.8							14.7	12.3
15–20 Jan		1,500	15.6	18.2	33.2	5.2	10.9	3.0	2.0	1.9	1.2	2.6	4.5	1.7	15.0
10–17 Jan		1,000	15.3	19.1	32.2	8.0	10.7	2.6	1.7	1.8		2.3	3.7	2.6	13.1
15–16 Jan		2,300	16.0	19.4	32.9	5.8	10.6	2.0	1.4	1.4	0.5	2.1	4.6	3.3	13.5
14–16 Jan		1,455	16.4	19.0	30.4	6.2	10.1	2.0	1.5	1.6	0.7	2.1	4.9	5.1	11.4
15 Jan		800	15.8	18.9	31.5	6.6	10.5	2.8	1.6	2.0	0.9	2.1	4.4	2.9	12.6
14 Jan		1,688	15.6	20.0	30.0	6.7	11.0	2.0	2.1	1.8	1.1	2.8	4.6	2.3	10.0
13–14 Jan		1,000	15.9	20.0	29.0	7.0	10.9	3.6	2.5	1.6	0.8	1.0	4.2	3.5	9.0
13 Jan		800	15.4	18.9	30.2	6.3	10.8	1.8	1.3	2.4	0.4	3.0	5.0	4.5	11.3
12–13 Jan		1,000	15.5	19.3	31.7	8.0	10.8	2.7	1.6	1.7		2.3	3.7	2.7	12.4
8–13 Jan		1,500	15.2	18.4	32.9	5.8	10.4	3.1	1.6	2.2	1.0	2.9	4.8	1.7	14.5
9–10 Jan		1,000	15.4	19.3	31.9	8.1	10.6	2.7	1.6	1.7		2.1	3.9	2.7	12.6
8–10 Jan		505	16.5	19.5	31.0	6.5	10.0	2.0	2.5	1.5		1.5	4.5	4.5	11.5
9 Jan		800	16.0	18.8	31.3	6.7	10.5	2.9	1.6	2.1	1.0	2.0	4.3	2.8	12.5
8–9 Jan		3,500	16.1	19.1	33.1	6.1	10.7	3.2	1.5	1.2	0.4	1.8	4.9	1.9	14.0
7–8 Jan		1,700	15.9	19.9	30.4	7.0	10.6	2.0	1.9	1.6	1.0	2.8	4.5	2.4	10.5
3–7 Jan		1,000	16.2	20.0	29.5	7.3	10.7	3.0	2.3	1.3	1.0	1.3	3.6	3.8	9.5

2019

Date	Polling firm	Sample size	M5S	PD	Lega	FI	FdI	LS	+Eu	EV	C!	A	IV	Other	Lead
Date	Polling firm	Sample size												Other	Lead
20–24 Dec		807	16.1	19.2	33.1	5.8	10.4		2.1			3.1	4.5	5.7	13.9
22–23 Dec		1,000	15.9	19.1	31.8	7.8	10.3	2.7	1.6	1.7		2.4	4.0	2.7	12.7
18–23 Dec		1,500	15.7	17.0	32.9	5.5	10.5	3.7	1.6	2.0	1.0	3.3	4.7	2.1	15.9
19–20 Dec		1,000	16.0	19.1	32.4	7.7	10.4	2.4	1.8	1.5		2.2	4.0	2.5	13.3
18–19 Dec		3,000	15.4	18.5	35.2	5.3	10.3	2.2	1.1	1.4	0.4	2.4	4.9	2.9	16.7
18–19 Dec		1,000	17.7	18.2	31.5	7.4	10.3	1.7	1.2	1.8		1.5	5.3	3.4	13.3
18 Dec		800	16.0	18.9	31.8	6.8	10.3	2.9	1.5	2.0	1.0	2.1	4.4	2.3	12.9
17–18 Dec		1,500	16.4	19.0	31.0	5.8	10.6	3.0					4.5	9.7	12.0
17–18 Dec		1,623	16.1	19.6	31.2	6.7	10.6	2.0	1.9	1.6	1.0	2.3	5.0	2.0	11.6
16–17 Dec		1,000	16.0	20.2	29.9	7.0	10.5	3.3	2.5	1.5	1.0	1.3	3.6	3.2	9.7
16 Dec		800	15.8	17.3	31.0	6.9	10.7	2.2	1.5	1.8	0.6	2.7	5.0	4.5	13.7
11–16 Dec		1,500	15.7	17.5	32.2	5.7	10.7	3.5	1.4	2.3	1.0	3.0	5.1	1.9	14.7
12–13 Dec		1,000	15.8	18.8	33.5	7.9	10.3	2.5	1.7	1.4		2.1	3.8	2.2	14.7
11–13 Dec		1,406	17.0	18.8	31.8	5.8	9.5	1.8	1.6	1.5	0.8	2.1	4.8	4.5	13.0
12 Dec		–	17.5	18.0	31.5	6.5	10.5	1.5	1.5	1.0	1.7	2.7	3.5	4.1	13.5
11–12 Dec		1,000	15.7	18.9	33.4	7.9	10.2	2.5	1.7	1.5		2.0	3.9	2.3	14.5
11 Dec		800	16.2	19.2	32.2	6.7	9.8	2.8	1.5	1.9	1.1	1.8	4.6	2.2	13.0
10–11 Dec		1,578	15.7	19.3	32.0	6.7	10.4	1.9	2.0	1.5	1.0	2.0	5.2	2.3	12.7
9–10 Dec		1,000	16.3	20.8	30.6	7.6	10.6	2.9	2.5	1.2		0.9	3.3	3.3	9.8
8–9 Dec		1,000	15.6	18.6	34.1	8.0	10.3	2.3	1.7	1.4		1.8	4.0	2.2	15.5
4–9 Dec		1,500	15.5	18.0	33.0	5.3	9.8	3.2	1.5	2.2	1.2	3.5	4.6	2.2	15.0
6 Dec		1,000	17.0	18.0	33.0	6.0	9.5	1.0	1.0	1.0	1.7	2.5	5.0	4.3	15.0
5–6 Dec		1,000	15.6	18.9	34.7	7.9	10.0	2.4	1.8	1.3		1.5	3.9	2.0	15.8
2–6 Dec		1,276	18.1	18.7	29.5	6.5	11.3	3.2	2.4				3.5	6.8	10.8
4–5 Dec		2,500	15.5	18.6	34.9	5.5	10.2	2.2	1.6	1.3	0.5	1.7	5.3	2.7	16.3
4 Dec		800	15.5	17.5	31.5	7.2	10.3	2.1	1.4	1.3	0.4	2.8	5.5	4.5	14.0
4 Dec		800	16.2	19.1	32.7	6.6	9.8	2.6	1.6	1.8	1.0	1.6	4.9	2.1	13.6
3–4 Dec		1,623	16.3	19.5	32.5	6.9	10.1	1.8	1.6	1.2	0.9	1.8	5.3	2.1	13.0
2–3 Dec		1,000	15.9	20.7	31.2	7.4	11.0	2.7	3.0	1.1		0.7	3.6	2.7	10.5
1–2 Dec		1,000	15.8	19.0	34.7	8.2	9.5	2.2	1.5	1.6		1.2	4.1	2.2	15.7
27 Nov–2 Dec		1,500	15.5	17.7	33.8	5.1	10.0	3.3	1.6	2.0	1.0	3.3	4.9	1.8	16.1
28–29 Nov		1,000	15.8	19.1	35.3	8.1	9.4	2.1	1.7	1.4			4.1	3.0	16.2
27–28 Nov		2,000	15.3	18.6	34.6	6.0	10.1	2.1	1.5	1.5	0.5	1.8	5.3	2.7	16.0
27 Nov		1,612	16.5	19.7	32.4	7.3	9.9	2.0	1.9	1.3	1.0	1.0	5.3	1.7	12.7
27 Nov		800	16.9	19.3	32.8	6.6	9.3	2.6	1.7	2.0			5.0	3.8	13.5
26–27 Nov		1,000	16.6	18.1	31.9	6.2	10.6	2.0	1.2	2.3		2.3	5.3	3.5	13.8
25–26 Nov		1,000	16.4	20.4	31.5	7.4	10.6	2.2	3.0	1.0			4.5	3.0	11.1
24–25 Nov		1,000	15.9	19.6	34.7	8.1	9.0	2.1	1.6	1.5		1.1	4.4	2.0	15.1
20–25 Nov		1,500	16.5	18.1	33.1	6.0	10.1	3.1	1.6	2.0	1.3		5.5	2.7	15.0
21–22 Nov		505	17.5	19.5	31.5	7.5	9.0	2.0	2.0	1.5		1.0	5.0	3.5	12.0
21–22 Nov		1,000	16.1	19.4	34.5	8.0	9.2	2.1	1.6	1.5			4.3	3.3	15.1
21 Nov		–	19.0	18.0	33.5	6.0	9.0	1.0	1.0	1.0	1.7	1.0	5.5	3.3	14.5
20–21 Nov		2,400	15.7	18.1	35.6	5.9	9.6	2.1	1.4	1.5	0.6	1.4	5.5	2.6	17.5
20 Nov		1,524	16.1	20.0	32.6	7.7	9.5	2.0	2.1	1.3		1.0	5.2	2.5	12.6
18–20 Nov		1,598	17.4	18.6	32.3	5.6	8.9	2.1	1.6	1.7	1.0	1.1	5.3	4.4	13.7
18–19 Nov		1,000	16.3	21.2	31.9	7.5	9.9	1.7	3.1	1.1	0.7		4.6	2.0	10.7
13–18 Nov		1,500	16.2	18.3	34.0	6.4	9.5	3.3	1.7	2.3	1.1		5.0	2.2	15.7
14–15 Nov		1,000	16.3	19.3	34.2	8.0	9.3	1.9	1.7	1.3			4.6	3.4	14.9
13 Nov		800	16.8	19.5	34.0	6.4	9.0	2.3	1.8	1.9			4.8	3.5	14.5
12–13 Nov		2,200	16.1	18.3	35.2	5.6	9.9	2.0	1.2	1.4	0.5	1.4	5.9	2.5	16.9
8–13 Nov		1,425	16.1	19.5	33.0	7.4	9.8	1.7	1.8	1.0		1.0	5.7	3.0	13.5
11–12 Nov		1,000	16.3	21.0	32.6	7.3	9.6	1.8	2.7	1.3	0.8		4.3	2.3	11.6
10–12 Nov		1,500	17.2	18.5	34.0	5.6	9.4	2.5					5.8	7.0	15.5
11 Nov		800	15.8	18.1	33.0	6.8	9.3	1.9	1.1	1.5	0.3	1.9	5.8	4.5	14.9
10–11 Nov		1,000	16.9	18.7	34.5	8.1	9.2	1.8	1.8	1.3		1.2	4.5	2.0	15.8
6–11 Nov		1,500	15.8	18.6	34.5	6.2	9.5	3.0	1.5	1.9	1.3		5.6	2.1	15.9
8–9 Nov		505	17.5	19.0	31.5	7.0	9.0	2.0	2.5	2.0			4.5	5.0	12.5
7–8 Nov		1,000	16.8	18.8	34.5	8.1	9.1	1.7	1.8	1.4			4.5	3.3	15.7
6–7 Nov		2,300	15.8	18.5	35.9	5.5	9.3	2.0	1.3	1.5	0.6	1.3	5.9	2.4	17.4
6 Nov		800	17.4	19.3	33.7	6.4	8.6	2.2	1.8	2.0			5.0	3.6	14.4
6 Nov		1,387	16.3	19.0	34.2	7.2	10.0	1.6	1.8	1.2		1.0	4.9	2.8	15.2
4–5 Nov		1,002	17.9	18.2	28.6	9.5	10.7		2.7				4.9	7.5	10.4
4–5 Nov		1,000	17.9	20.1	32.0	7.8	9.5	1.9	2.2	1.5	0.9		3.9	2.3	11.9
30 Oct–4 Nov		1,500	16.8	17.5	34.1	6.2	8.9	3.3	1.8	2.2	1.1		6.0	2.1	16.6
31 Oct–1 Nov		506	18.5	19.5	31.0	7.0	8.5	2.0	2.0	2.0			4.0	5.5	11.5
30–31 Oct		1,500	18.0	19.0	33.0	6.0	9.0	2.5					5.8	6.7	14.0
29–31 Oct		1,000	17.9	17.2	34.3	6.2	9.8	1.7	1.0	2.2			6.2	3.5	16.4
30 Oct		1,000	17.5	19.3	34.4	8.2	8.5	1.7	1.8	1.6		1.0	4.2	1.8	15.1
30 Oct		800	17.8	19.2	33.5	6.3	8.6	2.2	1.8	2.0			5.1	3.5	14.3
30 Oct		1,489	16.8	19.3	33.0	7.4	9.4	1.8	2.2	1.4		1.0	4.7	3.0	13.7
28–29 Oct		1,000	19.2	19.5	30.9	7.7	9.5	2.0	2.0	1.6	1.0		3.7	2.9	11.4
27 Oct		1,000	17.7	19.2	34.4	8.1	8.6	1.6	1.9	1.5		1.0	4.1	1.9	15.2
23–27 Oct		1,500	18.2	18.0	33.6	5.5	9.0	3.2	1.6	2.1	1.6		5.2	2.0	13.9
24–25 Oct		1,000	18.0	19.3	33.2	8.2	8.4	1.9	1.9	1.6			4.3	3.2	13.9
23–24 Oct		2,300	17.1	18.9	35.2	5.6	8.2	1.9	1.2	1.5	0.5	1.3	5.6	3.0	16.3
22–24 Oct		1,500	14.7	20.6	34.0	6.2	7.7	2.0	1.3	1.6			6.6	5.2	13.4
23 Oct		800	18.8	19.5	33.2	6.2	8.2	2.1	1.8	1.9			5.3	3.0	13.7
23 Oct		1,578	17.5	19.4	33.6	7.0	8.2	2.1	2.2	1.0		1.0	4.3	3.7	14.2
22 Oct		–	18.5	18.6	32.5	6.9	8.0	1.2	1.1	1.4	1.7	0.7	6.0	3.4	13.9
21–22 Oct		1,000	20.8	19.8	30.5	8.1	8.7	1.8	2.1	1.9	1.0		3.5	1.8	9.7
20–21 Oct		1,000	18.5	19.4	33.0	8.0	8.2	1.7	1.8	1.6		1.1	4.8	1.9	13.6
16–21 Oct		1,500	17.8	18.8	34.0	5.5	8.4	2.8	1.8	1.9	1.3		5.6	2.1	15.2
17–18 Oct		1,000	19.8	20.2	31.6	7.8	7.8	1.8	2.0	1.7			4.1	3.2	11.4
17 Oct		–	19.0	19.8	32.7	6.0	7.5	2.0	2.0	2.0			5.2	3.8	12.9
16–17 Oct		800	18.3	18.5	31.8	7.0	8.0	2.1	2.0	1.4	0.2	1.4	5.5	3.8	13.3
16–17 Oct		1,534	19.2	19.7	31.8	7.1	7.8	1.6	2.4	1.2		1.2	4.1	3.9	12.1
16–17 Oct		2,400	17.7	19.2	34.8	5.5	7.8	2.0	1.3	2.0	0.6	1.4	5.2	2.5	15.6
14–15 Oct		1,000	19.7	20.4	30.7	7.8	8.2	2.0	2.5	1.4	1.1		4.0	2.2	10.3
13–14 Oct		1,000	19.8	20.4	31.5	7.8	7.7	1.6	1.8	2.0		1.3	4.3	1.8	11.1
9–14 Oct		1,500	18.6	19.4	33.2	5.1	7.6	3.1	1.9	1.9	1.6		5.3	2.3	13.8
10–11 Oct		1,000	20.0	20.7	31.2	7.7	7.6	1.7	1.9	1.9			4.0	3.3	10.5
9–11 Oct		1,000	20.0	19.2	32.0	6.2	7.5	2.5					5.3	7.3	12.0
10 Oct		–	19.0	19.0	31.0	6.5	7.5	1.4	1.5	1.5	1.7	0.5	6.0	4.4	12.0
9–10 Oct		1,600	18.2	19.4	34.1	5.3	8.1	2.0	1.3	2.1	0.5	1.4	4.9	2.7	14.7
9 Oct		800	18.8	20.1	32.3	6.0	7.4	2.0	2.1	2.0			4.7	4.6	12.2
9 Oct		1,624	18.7	19.2	32.7	7.0	7.8	1.7	2.0	1.6		1.3	4.5	3.5	13.5
7–9 Oct		1,438	19.2	19.5	30.6	5.5	8.0	1.8	1.5	2.0	1.3	1.0	5.0	4.6	11.1
7–8 Oct		800	19.3	17.8	32.0	7.1	7.7	2.0	1.6	1.4	0.4	1.5	5.5	3.7	12.7
7–8 Oct		1,000	20.2	21.9	30.0	7.2	8.6	2.1	2.9	1.6			3.5	2.0	8.1
7 Oct		600	19.6	20.1	31.2	6.9	8.5	2.5	1.2				4.2	5.8	11.1
6–7 Oct		1,000	20.1	20.3	30.8	7.9	8.0	1.5	1.9	2.1	0.6	1.3	4.2	1.3	10.5
2–7 Oct		1,500	18.5	20.0	32.3	5.0	7.1	3.3	1.8	2.3	1.6		5.6	2.5	12.3
3–5 Oct		–	19.5	20.5	30.0	6.5	7.0	2.0	2.5	2.0			3.5	6.5	9.5
3–4 Oct		1,000	19.8	19.7	31.4	8.0	7.8	1.6	1.8	2.0			4.5	3.4	11.6
3 Oct		–	19.4	20.3	32.5	6.0	7.3	2.0	2.3	2.0			4.5	3.7	12.2
1–3 Oct		1,265	20.6	19.1	30.2	6.1	8.6	2.4	2.1	2.2			3.9	4.8	9.6
2 Oct		1,754	19.0	19.7	32.6	7.4	7.6	1.8	2.2	1.5		1.0	4.5	2.7	12.9
30 Sep–1 Oct		1,000	21.0	21.6	29.7	6.9	8.6	2.3	2.3	1.5			3.9	2.2	8.3
29–30 Sep		1,000	20.2	19.7	31.4	7.9	7.7	1.7	1.8	1.9	0.7	1.1	4.6	1.3	11.2
25–30 Sep		1,500	19.6	19.4	32.8	5.0	7.3	3.6	1.6	2.0	1.7		4.9	2.1	13.2
26–27 Sep		800	20.0	19.8	31.9	7.8	7.5	1.8	2.0	1.7			4.3	3.2	11.9
23–27 Sep		811	24.2	20.1	29.1	6.0	7.0	1.2	2.5		0.9	1.8	4.4	2.8	4.9
25–26 Sep		2,400	17.4	18.6	35.3	5.4	8.2	1.6	1.3	2.0	0.5	1.2	5.5	3.0	16.7
25–26 Sep		1,000	20.8	19.5	30.8	7.0	8.9	2.8	1.6				4.8	3.8	10.0
25 Sep		1,785	18.7	20.3	32.2	6.8	7.3	2.1	2.6	1.6		1.1	4.3	3.0	11.9
25 Sep		–	19.5	20.0	33.0	6.0	7.0	2.0	1.5	1.5	1.5	1.0	4.5	2.5	13.0
23–24 Sep		1,000	21.5	21.8	29.9	6.5	8.6	2.7	2.7	2.0			2.9	1.4	8.1
22–23 Sep		1,000	20.4	19.5	32.0	7.9	7.5	1.8	2.0	1.6	0.7	1.0	4.3	1.3	11.6
18–23 Sep		1,500	20.0	19.4	33.6	5.1	6.7	2.3	1.7	2.0	2.0		5.4	1.8	13.6
20–22 Sep		505	19.0	20.0	30.5	7.0	6.5	2.0	3.0	2.0			4.0	6.0	10.5
19–20 Sep		800	20.5	19.4	32.9	8.0	7.3	2.1	2.2	1.3			3.6	2.7	12.4
19–20 Sep		1,004	22.5	19.5	29.0	7.0	8.0						5.5	8.5	6.5
19–20 Sep		1,007	18.0	21.2	31.3	6.9	7.8	3.1	2.7		0.8		3.6	4.6	10.1
18–20 Sep		1,500	15.1	20.7	33.5	5.7	8.5	2.8	1.2	1.4			6.4	4.7	12.8
19 Sep		–	19.8	20.5	33.0	6.0	7.0	2.0	2.5	1.8			3.5	3.9	12.5
18–19 Sep		1,000	20.5	19.4	33.0	7.9	7.2	2.0	2.3	1.3	0.7	0.7	3.6	1.4	12.5
18–19 Sep		1,500	20.5	19.4	33.0	6.0	7.0						5.2	8.9	12.5
18–19 Sep		2,000	18.5	19.5	36.1	5.2	8.4	1.6	1.2	1.0	0.7	1.5	3.6	2.7	16.6
17–18 Sep		800	19.2	17.6	32.1	6.5	7.0	2.4	1.8	1.1	1.2	1.6	5.0	4.5	12.9
14–18 Sep		1,548	20.0	22.4	30.3	6.0	7.3	2.0	2.3	1.8	1.4			6.5	7.9
17 Sep		1,805	18.5	20.2	33.1	7.0	7.3	2.0	2.7	1.5	1.2	1.1	3.4	2.0	12.9
16–17 Sep		1,000	21.9	21.6	29.9	7.4	8.3	3.2	4.0	1.6			Did not exist	2.1	8.0
15–16 Sep		1,000	20.7	23.3	32.3	7.9	7.3	2.0	2.6	1.3			Did not exist	2.6	9.0
11–16 Sep		1,500	20.5	21.5	34.0	5.9	7.0	2.2	2.4	2.3	2.0		Did not exist	2.2	12.5
12 Sep		800	21.1	23.6	31.3	8.1	7.3	2.1	2.6	1.3			Did not exist	2.6	7.7
11–12 Sep		3,000	19.8	23.0	34.9	5.1	7.9	1.7	1.2	1.7	0.6	1.8	Did not exist	2.3	11.9
10–12 Sep		1,006	20.8	22.3	32.5	6.5	7.4	3.1	2.5				Did not exist	4.9	10.2
9–12 Sep		1,500	15.5	23.3	34.0	6.8	8.9	3.1	2.4	2.0			Did not exist	4.0	10.7
10 Sep		1,865	19.7	23.0	33.3	7.8	7.0	1.8	2.6	1.2	1.0		Did not exist	2.6	10.3
9–10 Sep		800	19.7	20.6	33.9	6.6	6.4	2.9	2.7	0.9	1.4	1.4	Did not exist	3.5	13.3
9–10 Sep		–	19.0	22.5	34.0	5.5	7.0	2.0	2.0	1.5	1.5	2.5	Did not exist	2.5	11.5
9–10 Sep		1,500	21.8	23.2	32.5	6.5	7.0	3.0				Did not exist	Did not exist	6.0	9.3
9–10 Sep		1,000	22.0	22.6	30.0	7.4	7.9	2.5	4.2	1.4		Did not exist	Did not exist	2.0	7.4
8–9 Sep		1,000	22.2	24.2	30.5	7.8	7.1	1.7	2.6	1.5		Did not exist	Did not exist	2.4	6.3
4–9 Sep		1,500	21.0	22.1	33.4	5.2	7.2	2.3	2.6	2.2	2.3	Did not exist	Did not exist	1.7	11.3
7 Sep		–	20.5	24.0	30.0	7.0	6.5		3.5			Did not exist	Did not exist	8.5	6.0
5 Sep		1,000	21.7	24.4	30.7	7.9	7.0	1.7	2.7	1.6		Did not exist	Did not exist	2.3	6.3
4–5 Sep		1,500	22.0	23.0	32.0	6.7	6.8	3.0				Did not exist	Did not exist	6.5	9.0
4–5 Sep		1,002	24.3	23.9	30.3	6.1	6.6	1.3	2.8		1.2	Did not exist	Did not exist	3.5	6.0
4 Sep		–	20.0	23.0	35.0	6.5	7.0	2.0	2.0	1.5		Did not exist	Did not exist	3.0	12.0
2–3 Sep		1,000	22.3	23.0	30.1	7.0	7.4	2.4	4.0	1.5		Did not exist	Did not exist	2.3	7.1
31 Aug–2 Sep		1,000	21.5	24.6	31.0	7.8	7.0	1.5	2.5	1.6		Did not exist	Did not exist	2.5	6.4
29 Aug–2 Sep		1,500	21.4	21.1	33.6	6.2	6.9	2.7	3.0	2.4		Did not exist	Did not exist	2.7	12.2
29–30 Aug		1,000	18.6	22.3	31.9	6.8	8.8	2.9	4.1			Did not exist	Did not exist	4.6	9.6
26–28 Aug		998	24.2	22.3	31.8	6.0	7.8	2.5	2.2	1.0		Did not exist	Did not exist	2.2	7.6
24–28 Aug		1,693	19.2	24.2	32.5	6.2	7.7	2.1	2.7	1.9		Did not exist	Did not exist	3.5	8.3
27 Aug		505	16.5	23.5	32.0	7.5	6.0		3.5			Did not exist	Did not exist	11.0	8.5
23–25 Aug		3,002	19.0	23.0	33.0	6.2	6.8					Did not exist	Did not exist	12.0	10.0
21–23 Aug		1,500	16.6	24.0	33.7	6.6	8.3	2.3	3.2	1.4		Did not exist	Did not exist	3.9	9.7
21–23 Aug		3,000	17.8	24.1	36.6	5.8	7.0	1.8	2.1	1.3		Did not exist	Did not exist	3.5	12.5
21 Aug		1,000	20.8	24.6	31.3	8.3	6.7	1.4	2.5	1.8		Did not exist	Did not exist	2.6	6.7
20–21 Aug		609	23.1	23.5	31.2	5.9	6.7	1.0	2.9		2.1	Did not exist	Did not exist	3.6	7.7
19–21 Aug		1,008	16.0	23.5	36.0	6.4	8.1		2.0		Did not exist	Did not exist	Did not exist	8.0	12.5
12 Aug		802	23.7	22.8	32.1	6.1	6.6	0.8	2.8		Did not exist	Did not exist	Did not exist	5.1	8.4
7–10 Aug		2,500	18.2	23.4	36.1	6.0	7.1	1.8	2.3	1.8	Did not exist	Did not exist	Did not exist	3.3	12.7
9 Aug		–	16.5	23.0	38.0	6.5	8.0	1.5			Did not exist	Did not exist	Did not exist	6.5	15.0
5 Aug		1,000	17.5	22.4	38.0	8.0	6.0	1.4	2.4	2.2	Did not exist	Did not exist	Did not exist	2.1	15.6
29 Jul–2 Aug		1,700	17.0	22.6	37.5	6.2	6.9	2.0	2.2	1.9	Did not exist	Did not exist	Did not exist	3.7	14.9
30 Jul–1 Aug		1,000	17.6	22.5	37.7	8.1	6.0	1.6	2.4	2.3	Did not exist	Did not exist	Did not exist	1.8	15.2
30–31 Jul		1,000	17.8	20.5	36.0	7.1	7.5	2.0	3.5	1.9	Did not exist	Did not exist	Did not exist	3.7	15.5
27–30 Jul		1,500	14.8	23.3	38.9	6.7	7.4	1.9	2.3	1.7	Did not exist	Did not exist	Did not exist	3.0	15.6
24–29 Jul		1,500	17.3	22.0	38.0	6.5	6.6	2.1	2.7	2.3	Did not exist	Did not exist	Did not exist	2.5	16.0
24–25 Jul		1,000	17.5	22.7	38.1	7.8	6.3	1.4	2.5	2.1	Did not exist	Did not exist	Did not exist	1.6	15.4
22–24 Jul		1,500	18.0	22.5	36.0	6.7	6.8				Did not exist	Did not exist	Did not exist	10.0	13.5
22 Jul		1,000	18.0	20.0	36.0	8.1	6.1	2.3	3.3		Did not exist	Did not exist	Did not exist	6.2	16.0
22 Jul		505	17.5	22.5	36.0	7.0	5.5		3.0		Did not exist	Did not exist	Did not exist	8.5	13.5
17–22 Jul		1,500	18.5	21.5	37.8	6.6	6.3	2.0	2.8	2.5	Did not exist	Did not exist	Did not exist	2.0	16.3
17–18 Jul		1,000	17.3	23.6	37.0	8.0	6.6	1.5	2.4	1.9	Did not exist	Did not exist	Did not exist	1.7	13.4
16–18 Jul		1,000	17.4	21.6	35.9	8.2	6.0	1.8	3.5	2.0	Did not exist	Did not exist	Did not exist	3.6	14.3
16–18 Jul		1,400	17.1	23.1	37.9	6.2	6.8	1.8	2.1	1.8	Did not exist	Did not exist	Did not exist	3.2	14.8
15–18 Jul		919	24.2	22.8	33.1	7.0	6.1	0.4	2.5		Did not exist	Did not exist	Did not exist	3.9	8.9
15 Jul		500	17.5	23.5	36.0	8.0	5.5				Did not exist	Did not exist	Did not exist	9.5	12.5
10–15 Jul		1,500	17.9	22.0	37.7	7.0	6.4	1.8	3.0	2.4	Did not exist	Did not exist	Did not exist	1.8	15.7
9–12 Jul		1,300	17.1	22.6	37.9	6.3	7.0	1.7	2.3	1.8	Did not exist	Did not exist	Did not exist	3.3	15.3
10–11 Jul		1,000	17.2	23.5	37.1	7.9	6.8	1.4	2.3	2.0	Did not exist	Did not exist	Did not exist	1.8	13.6
8–10 Jul		1,017	17.6	22.5	35.3	7.0	6.2	2.0	3.5	2.1	Did not exist	Did not exist	Did not exist	3.8	12.8
8–10 Jul		807	23.7	22.3	33.7	7.1	5.9	0.4	2.7		Did not exist	Did not exist	Did not exist	4.2	10.0
7–8 Jul		1,000	16.9	23.4	37.8	7.7	6.9				Did not exist	Did not exist	Did not exist	7.3	14.4
3–8 Jul		1,500	17.4	22.7	37.5	6.8	6.6	1.7	2.9	2.4	Did not exist	Did not exist	Did not exist	2.0	14.8
7 Jul		–	17.0	24.0	38.0	6.5	8.0	1.5	1.5	1.5	Did not exist	Did not exist	Did not exist	2.0	14.0
4 Jul		–	19.0	24.0	37.5	8.0	6.5				Did not exist	Did not exist	Did not exist	5.0	13.5
1–4 Jul		1,700	18.0	22.9	37.0	6.7	7.0	1.4	1.8	1.7	Did not exist	Did not exist	Did not exist	3.5	14.1
29 Jun–4 Jul		1,698	18.1	23.5	35.0	6.3	6.8	1.9	2.7	2.5	Did not exist	Did not exist	Did not exist	3.2	11.5
26 Jun–1 Jul		1,500	17.2	22.6	38.0	6.5	6.4	1.5	2.8	2.7	Did not exist	Did not exist	Did not exist	2.3	15.4
26 Jun		–	17.5	25.0	36.0	7.5	8.0	1.0	2.0	1.5	Did not exist	Did not exist	Did not exist	1.5	11.0
25–26 Jun		1,000	17.3	21.2	33.3	9.3	6.7	1.9	3.4	2.5	Did not exist	Did not exist	Did not exist	4.4	12.1
25 Jun		1,845	19.0	23.8	34.6	8.5	6.7	2.0	2.9	0.9	Did not exist	Did not exist	Did not exist	1.6	10.8
23–24 Jun		1,000	17.0	23.4	35.5	9.1	6.6				Did not exist	Did not exist	Did not exist	8.4	12.1
19–24 Jun		1,500	18.0	22.6	37.3	6.6	6.5	1.6	2.8	2.7	Did not exist	Did not exist	Did not exist	1.9	14.7
19–20 Jun		1,500	18.5	22.0	35.2	7.0	6.8				Did not exist	Did not exist	Did not exist	10.5	13.2
18 Jun		1,815	17.9	24.4	35.0	8.0	7.0	2.0	2.7	1.1	Did not exist	Did not exist	Did not exist	1.9	10.6
18 Jun		–	17.5	24.0	35.0	7.5	7.5	1.5	2.5	1.5	Did not exist	Did not exist	Did not exist	3.0	11.0
12–17 Jun		1,500	18.3	22.5	37.0	6.6	6.7	1.7	2.7	2.6	Did not exist	Did not exist	Did not exist	1.9	14.5
12 Jun		800	19.2	22.6	34.5	6.7	6.8	1.7	3.0	2.7	Did not exist	Did not exist	Did not exist	2.8	11.9
11 Jun		1,735	18.0	23.9	35.2	8.6	6.7	1.9	2.5	1.1	Did not exist	Did not exist	Did not exist	2.1	11.3
11 Jun		–	18.0	24.0	35.0	8.0	7.5	1.5	2.5	2.0	Did not exist	Did not exist	Did not exist	1.5	11.0
10 Jun		800	18.0	23.5	35.1	7.0	6.3	2.0	3.5	1.3	Did not exist	Did not exist	Did not exist	3.3	11.6
10 Jun		505	17.0	23.5	35.0	8.0	6.0	1.5	3.0	1.5	Did not exist	Did not exist	Did not exist	4.5	11.5
9–10 Jun		1,000	16.9	23.6	36.0	8.7	6.7				Did not exist	Did not exist	Did not exist	8.1	12.4
5–10 Jun		1,500	18.4	22.8	37.3	6.3	6.3	1.5	2.8	2.8	Did not exist	Did not exist	Did not exist	1.8	14.5
3–7 Jun		1,700	18.0	23.1	35.3	6.2	7.2	1.2	2.6	2.7	Did not exist	Did not exist	Did not exist	3.7	12.2
5–6 Jun		1,000	16.9	23.7	36.1	9.0	6.6				Did not exist	Did not exist	Did not exist	7.7	12.4
5 Jun		800	18.9	23.3	34.0	6.9	7.0	1.8	3.0	2.5	Did not exist	Did not exist	Did not exist	2.6	10.7
2–3 Jun		1,000	16.8	23.9	35.8	9.2	6.8				Did not exist	Did not exist	Did not exist	7.5	11.9
29 May–3 Jun		1,500	17.5	23.5	36.5	6.9	6.6	1.7	2.7	2.6	Did not exist	Did not exist	Did not exist	2.0	13.0
1 Jun		1,600	19.0	24.0	34.0	8.0	6.0	2.5	3.0		Did not exist	Did not exist	Did not exist	3.5	10.0
30 May		1,000	17.0	23.0	35.0	9.0	6.0	2.0	3.0	2.0	Did not exist	Did not exist	Did not exist	3.0	12.0
28–29 May		1,500	16.5	23.8	36.3	7.9	6.8	1.4	2.7	1.8	Did not exist	Did not exist	Did not exist	2.8	12.5
26 May		–	17.1	22.7	34.3	8.8	6.5	1.7	3.1	2.3	Did not exist	Did not exist	Did not exist	3.5	11.5
8–9 May		1,000	22.5	21.5	31.0	10.5	5.0	3.0	3.5		Did not exist	Did not exist	Did not exist	3.0	8.5
8–9 May		800	21.5	21.9	29.6	10.1	5.3	2.0	3.5		Did not exist	Did not exist	Did not exist	6.1	7.7
8–9 May		2,000	23.0	22.2	31.0	8.4	5.5	2.8	3.2		Did not exist	Did not exist	Did not exist	3.9	8.0
7–9 May		1,500	22.7	22.1	33.8	7.8	5.8	2.1	2.4	1.3	Did not exist	Did not exist	Did not exist	2.0	11.1
6–9 May		1,000	20.5	20.1	30.5	9.6	5.2	3.4	4.0		Did not exist	Did not exist	Did not exist	6.7	10.0
5–9 May		6,000	23.0	21.8	30.6	9.5	5.8	1.9	2.8	0.8	Did not exist	Did not exist	Did not exist	3.8	7.6
8 May		503	22.0	21.0	30.5	10.0	5.0	2.0	3.5		Did not exist	Did not exist	Did not exist	6.0	8.5
7–8 May		800	22.3	21.1	32.4	9.2	5.0	2.7	3.0	1.7	Did not exist	Did not exist	Did not exist	2.6	10.1
6–8 May		1,500	22.7	22.5	30.5	9.4	4.7	2.7	2.6	1.7	Did not exist	Did not exist	Did not exist	3.2	7.8
6–8 May		1,455	22.4	21.2	32.2	9.0	4.7	2.5	3.0	1.7	Did not exist	Did not exist	Did not exist	3.3	9.8
6–8 May		1,007	22.6	20.4	32.2	9.5	4.7	3.1	4.1		Did not exist	Did not exist	Did not exist	3.4	9.6
6–8 May		1,000	24.9	20.5	30.9	7.8	5.7	2.1	3.2	1.8	Did not exist	Did not exist	Did not exist	3.1	6.0
7 May		1,642	23.5	21.2	32.2	10.3	5.0	2.6	2.8		Did not exist	Did not exist	Did not exist	2.4	8.7
7 May		–	21.0	21.0	32.0	9.0	5.5	2.0	3.5	1.0	Did not exist	Did not exist	Did not exist	5.0	11.0
5–7 May		1,500	24.5	19.0	29.0	9.0	4.8				Did not exist	Did not exist	Did not exist	13.7	4.5
4–6 May		1,509	22.0	21.0	31.0	10.5	5.0	3.5	3.5		Did not exist	Did not exist	Did not exist	3.5	9.0
30 Apr–6 May		1,500	22.7	22.2	30.7	9.1	4.6	2.8	2.7	1.8	Did not exist	Did not exist	Did not exist	3.4	8.0
24 Apr–6 May		1,000	23.5	20.4	30.8	11.0	4.6	2.3	4.9		Did not exist	Did not exist	Did not exist	2.5	7.3
2–3 May		1,000	22.2	21.4	32.1	9.5	5.3	3.2	2.3		Did not exist	Did not exist	Did not exist	4.0	9.9
30 Apr		504	22.0	20.5	31.0	10.0	5.5	2.0	3.5	1.0	Did not exist	Did not exist	Did not exist	4.5	9.0
30 Apr		800	20.6	20.3	32.4	10.3	5.3	1.5	3.8	1.4	Did not exist	Did not exist	Did not exist	4.4	11.8
30 Apr		800	22.0	20.5	32.8	9.3	5.0	4.4	3.1		Did not exist	Did not exist	Did not exist	2.9	10.8
30 Apr		–	20.0	22.0	32.0	8.5	6.0	2.5	3.0	1.5	Did not exist	Did not exist	Did not exist	4.5	10.0
28–29 Apr		1,000	22.3	21.4	31.2	12.2	5.2				Did not exist	Did not exist	Did not exist	7.7	8.9
24–29 Apr		1,500	21.8	22.5	31.6	8.8	5.0	3.1	2.9	1.5	Did not exist	Did not exist	Did not exist	2.8	9.1
27 Apr		1,536	22.9	21.9	32.2	10.1	5.1	2.5	3.0		Did not exist	Did not exist	Did not exist	2.3	9.3
23 Apr		1,525	23.1	22.6	31.3	10.2	5.4	2.8	3.0		Did not exist	Did not exist	Did not exist	1.6	8.2
23 Apr		–	20.5	21.0	33.5	8.5	6.0	2.0	3.0	1.0	Did not exist	Did not exist	Did not exist	4.5	12.5
22–23 Apr		1,500	23.5	20.0	31.0	9.3	5.2				Did not exist	Did not exist	Did not exist	12.0	7.5
18–23 Apr		1,500	20.1	20.5	36.4	8.7	5.4	1.9	3.1	1.7	Did not exist	Did not exist	Did not exist	2.2	15.9
17–23 Apr		1,500	22.3	22.0	32.3	8.4	4.8	3.4	3.0	1.6	Did not exist	Did not exist	Did not exist	2.2	10.0
19–22 Apr		1,000	23.5	22.0	31.5	9.1	5.7	2.1	2.9	1.0	Did not exist	Did not exist	Did not exist	2.2	8.0
20 Apr		–	22.3	18.7	36.9	8.7	4.6	2.1	3.0	1.3	Did not exist	Did not exist	Did not exist	2.4	14.6
18 Apr		1,000	22.0	20.6	32.0	11.6	4.9				Did not exist	Did not exist	Did not exist	8.9	10.0
17 Apr		800	21.7	19.8	32.9	9.2	4.8	4.4	3.1		Did not exist	Did not exist	Did not exist	4.1	11.2
16 Apr		1,794	22.6	21.8	32.1	9.5	4.9	2.9	2.9		Did not exist	Did not exist	Did not exist	3.3	9.5
16 Apr		503	22.5	20.5	31.0	10.5	5.5	3.5	3.0	1.5	Did not exist	Did not exist	Did not exist	2.0	8.5
16 Apr		800	20.8	19.5	33.0	10.6	5.5	3.0	3.8	1.2	Did not exist	Did not exist	Did not exist	2.6	12.2
16 Apr		–	20.0	21.0	33.5	9.0	6.0	3.0	3.5	1.5	Did not exist	Did not exist	Did not exist	2.5	12.5
10–15 Apr		1,500	22.5	21.5	32.3	8.9	4.8	2.9	3.3	1.2	Did not exist	Did not exist	Did not exist	2.6	9.8
11–12 Apr		1,000	22.3	21.1	33.2	9.9	5.1	2.7	2.0		Did not exist	Did not exist	Did not exist	3.7	10.9
8–11 Apr		1,310	21.5	21.5	32.3	10.1	4.8	2.8	3.3	1.6	Did not exist	Did not exist	Did not exist	2.1	10.8
2–10 Apr		1,500	22.6	21.7	32.0	9.8	5.6	2.3	3.0	1.4	Did not exist	Did not exist	Did not exist	1.6	9.4
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-
-	-	-	-	-	-	-	-	-	-	-	-	Did not exist	-	-	-

Date	Polling firm	Sample size	M5S	PD	Lega	FI	FdI	LeU	+Eu	NcI	PaP	Other	Lead
Date	Polling firm	Sample size										Other	Lead
9 Apr		1,845	21.5	22.3	31.4	10.1	4.8		2.9	0.5		6.5	9.1
9 Apr		–	20.0	21.0	32.5	9.5	5.5	1.5	3.0	0.5	1.0	5.5	11.5
7–8 Apr		1,000	21.4	20.0	31.9	12.3	4.7					9.7	10.5
5–8 Apr		1,500	20.5	20.9	35.7	9.5	4.3	1.7	2.8		1.4	3.2	15.8
3–8 Apr		1,500	22.0	22.1	31.8	8.9	4.9	2.9	3.1		1.1	3.2	9.7
2–4 Apr		1,000	23.3	19.0	35.7	9.9	4.0	2.0	3.1			3.0	12.5
3 Apr		504	22.5	20.0	30.5	10.5	5.0	3.0	3.0	0.5		5.0	8.0
3 Apr		800	19.4	20.1	31.4	11.1	5.4	3.9	3.8	w. FI		4.9	11.3
2–3 Apr		800	21.1	20.8	33.6	9.3	4.6	3.2	2.8		1.5	3.1	12.5
2 Apr		1,725	22.7	21.1	31.9	9.3	4.7		2.9	0.6	1.6	5.2	9.2
2 Apr		–	20.5	21.0	32.0	10.5	5.0	1.5	3.5	0.5	1.0	4.5	11.0
31 Mar–1 Apr		1,000	21.0	20.1	31.9	12.1	4.6					10.3	10.9
29 Mar–1 Apr		1,000	19.1	22.6	31.2	8.7	4.9	3.2	2.5	0.6	1.3	5.9	8.6
27 Mar–1 Apr		1,500	22.2	20.8	32.9	9.0	4.6	1.0	2.9		1.3	5.3	10.7
25 Mar–1 Apr		4,000	21.3	21.6	31.9	9.1	4.6	3.6	3.2		1.1	3.6	10.3
29–30 Mar		1,000	22.7	20.5	32.1	10.0	5.3	3.4	2.7			3.3	9.4
28 Mar		1,002	21.0	20.2	32.0	11.8	4.7					10.3	11.0
26–27 Mar		800	20.6	21.1	34.5	9.1	4.5	2.9	2.7		1.7	2.9	13.4
26–27 Mar		1,500	22.0	21.0	32.0	9.0	4.0					12.0	10.0
26 Mar		1,865	22.9	21.1	31.8	9.5	4.9		3.0	0.6	1.6	4.6	8.9
26 Mar		–	21.0	21.0	32.0	11.0	4.5	2.0	3.5	0.5	1.0	3.5	11.0
22–25 Mar		1,500	20.3	21.2	35.8	9.2	4.1	1.5	3.1		1.6	3.2	14.6
20–25 Mar		1,500	21.3	21.0	33.4	8.7	4.7	2.3	2.9		2.2	3.5	12.1
21 Mar		–	23.0	20.0	31.0	11.5	4.5	2.0	3.0	0.5		4.5	8.0
20–21 Mar		800	19.8	20.7	33.1	11.4	4.7	2.2	3.6			4.5	12.4
20–21 Mar		1,000	19.9	21.0	33.1	11.7	4.5					9.8	12.1
20 Mar		800	20.4	21.2	34.8	9.0	4.4	2.8	2.7		1.7	3.0	13.6
19 Mar		1,785	23.4	21.0	30.9	10.0	4.8		3.0	0.6	1.6	4.7	7.5
19 Mar		–	21.0	21.0	32.5	11.0	4.5	1.5	3.5	0.5	1.0	3.5	11.5
13–18 Mar		1,500	21.0	21.1	33.9	8.6	4.4	2.4	3.0		2.0	3.6	12.8
17–18 Mar		1,000	21.8	20.4	31.2	11.9	4.4					10.3	9.4
12–13 Mar		800	21.3	20.1	34.6	9.1	4.3	2.9	2.7		1.7	3.3	13.3
12–13 Mar		1,500	22.8	20.2	33.0	8.8	3.6					11.6	10.2
11–13 Mar		1,005	23.2	19.0	34.4	9.6	4.2	2.6	2.5			4.5	11.2
12 Mar		1,845	23.8	19.9	30.6	9.8	4.9		3.1	0.6	1.6	5.7	6.8
12 Mar		–	21.0	21.0	32.5	11.5	4.0	1.5	3.5	0.5	1.0	3.5	11.5
12 Mar		500	24.5	19.0	31.5	11.0	4.0	2.5	3.5	0.5		3.5	7.0
6–11 Mar		1,500	21.8	20.3	33.7	8.9	4.1	2.6	2.8		1.9	3.9	11.9
6–7 Mar		2,000	22.2	20.3	31.2	12.5	4.2		3.3			6.3	9.0
5–6 Mar		800	21.7	18.9	34.6	9.0	4.5	3.3	2.8		1.8	3.4	12.9
5 Mar		1,803	23.2	19.3	31.2	10.2	4.8		3.1	0.6	1.4	6.2	8.0
5 Mar		–	21.0	20.0	33.0	11.0	4.0	1.5	3.5	0.5	1.0	4.5	12.0
3–4 Mar		1,003	21.8	18.8	32.5	12.0	4.6					10.3	10.7
27 Feb–4 Mar		1,500	22.1	19.8	33.4	8.8	4.4	2.4	3.0		2.0	4.1	11.3
1–3 Mar		1,500	21.6	20.3	35.4	8.8	3.8	1.9	3.2		1.7	3.3	13.8
27–28 Feb		1,000	22.0	18.3	32.5	12.1	4.7					10.4	10.5
26–28 Feb		1,000	21.2	18.5	35.9	8.6	4.0	2.4	4.0	0.5		4.9	14.7
26–27 Feb		800	22.1	18.0	34.5	9.1	4.5	3.5	3.0		2.0	3.3	12.4
22–27 Feb		1,084	22.7	18.9	32.3	9.5	4.0	2.5	2.6	0.6	1.7	5.2	9.6
26 Feb		1,603	23.8	18.2	31.2	10.7	5.0		3.0	0.6	1.6	5.9	7.4
25 Feb		505	25.0	18.5	31.5	11.0	4.5	1.5	3.5	0.5		4.0	6.5
25 Feb		800	21.8	18.6	34.6	11.0	4.7	1.9	3.7	w. FI		3.7	12.8
20–25 Feb		1,500	22.6	18.5	33.2	8.7	4.3	3.0	3.1		2.3	4.3	10.6
19–20 Feb		800	22.2	17.5	34.7	8.7	4.5	3.6	2.8		2.2	3.8	12.5
19 Feb		1,802	24.8	17.9	30.7	10.3	5.2		3.0	0.7	1.6	5.8	5.9
19 Feb		–	21.0	18.0	35.0	11.0	4.0	2.0	3.5	0.5	1.0	4.0	14.0
17–18 Feb		1,000	23.2	16.9	33.0	12.0	4.4					10.5	9.8
13–18 Feb		1,500	22.1	18.6	33.4	9.0	4.5	2.9	2.9		2.2	4.4	11.3
14–17 Feb		1,500	23.2	18.7	36.2	9.0	3.4	1.8	2.8		1.6	3.3	13.0
13–15 Feb		1,003	24.3	18.0	32.9	10.3	5.1					9.4	8.6
12–13 Feb		800	22.3	17.3	34.5	8.3	4.6	3.5	2.9		2.3	4.3	12.2
12–13 Feb		1,500	25.2	17.5	33.0	8.6	3.4					12.3	7.8
12 Feb		–	24.6	18.0	31.4	9.5	4.9		3.0	0.7	2.0	5.9	6.8
12 Feb		500	27.0	17.5	30.5	10.0	5.0	3.5	2.5	0.5		3.5	3.5
12 Feb		800	24.0	16.8	34.4	10.5	4.6	3.4	3.3	0.3		2.7	10.4
12 Feb		–	22.0	19.0	34.0	10.0	4.5	2.0	3.5	0.5	1.5	3.0	12.0
6–11 Feb		1,500	23.3	17.5	33.8	8.5	4.6	2.7	3.1		2.4	4.1	10.5
6–7 Feb		1,000	25.4	16.1	34.4	8.1	3.6	2.2	4.2	0.8		5.2	9.0
4–7 Feb		16,000	25.1	16.7	31.9	11.7	4.5		3.1			7.0	6.8
6 Feb		800	23.3	17.2	34.2	8.1	4.3	3.0	2.8		2.2	4.9	10.9
2–6 Feb		1,113	24.9	18.7	31.3	9.0	3.5	2.6	2.4	0.6	1.7	5.3	6.4
5 Feb		1,803	25.1	18.7	30.1	9.7	4.5		3.0	0.8	2.0	6.1	5.0
3–4 Feb		998	25.0	17.3	32.1	11.7	4.1					9.8	7.1
30 Jan–4 Feb		1,500	24.0	16.8	33.8	8.3	4.3	2.9	3.1		2.5	4.3	9.8
30 Jan		–	24.0	19.0	33.0	9.0	4.5	2.0	3.0	0.5	1.5	3.5	9.0
29–30 Jan		800	23.5	17.5	33.7	7.9	4.3	2.9	2.7		2.0	5.5	10.2
28–30 Jan		1,006	24.9	18.2	33.7	9.4	3.3	2.8	3.0			4.7	8.8
29 Jan		1,786	25.8	18.2	30.3	9.2	4.5		3.0	0.8	1.9	6.3	4.5
29 Jan		503	27.5	17.0	30.0	10.5	4.5	3.0	2.5	0.5		4.5	2.5
29 Jan		800	24.7	17.2	33.0	10.4	4.6	3.4	2.8	0.5		3.4	8.3
27–28 Jan		1,000	25.8	17.9	30.2	11.9	4.3					9.9	4.4
23–28 Jan		1,500	24.9	17.2	32.6	8.1	4.5	2.6	2.9		2.4	4.8	7.7
22 Jan		503	28.0	17.0	30.0	10.5	4.5	2.5	2.0	0.5		5.0	2.0
22 Jan		1,801	26.5	17.9	30.1	8.9	4.7		2.6	0.7	2.1	6.5	3.6
16–21 Jan		1,500	25.7	17.9	31.5	8.6	4.4	2.8	3.0		2.3	3.8	5.8
16–17 Jan		1,005	25.5	17.6	31.2	12.0	3.9					9.8	5.7
15–17 Jan		1,000	25.4	17.3	35.8	7.1	3.4		3.5	0.6		6.9	10.4
15–16 Jan		800	23.9	17.6	33.0	8.0	4.1	2.7	2.5		2.1	6.1	9.1
15 Jan		1,794	26.6	18.5	30.6	8.8	4.4		2.1	0.8	1.8	6.4	4.0
15 Jan		505	28.0	17.5	30.5	10.5	4.0	2.5	2.0	0.5		4.5	2.5
15 Jan		800	24.7	16.5	31.2	10.5	5.0	3.1	3.1	0.5		5.4	6.5
15 Jan		–	23.0	19.0	32.0	9.0	4.0	2.5	2.5	0.5	1.5	6.0	9.0
14–15 Jan		1,500	26.5	17.6	32.0	9.0	3.4					11.5	5.5
9–14 Jan		1,500	25.2	17.3	32.2	8.2	4.2	3.1	3.2		2.5	4.1	7.0
13 Jan		–	23.0	19.0	34.0	9.0	4.0	2.0	2.5	1.0	1.5	4.0	11.0
9–10 Jan		2,000	25.5	17.5	30.8	11.7	3.9		3.1			7.5	5.3
7–10 Jan		1,096	25.6	18.7	30.8	9.3	3.3	2.4	2.9	0.4	1.4	5.2	5.2
8–9 Jan		800	24.1	17.5	33.1	7.9	4.1	2.9	2.5		2.2	5.7	9.0
8 Jan		505	28.0	17.5	31.5	10.0	3.5	2.5	2.0	0.5		4.5	3.5
8 Jan		1,540	26.1	19.1	31.0	8.3	4.1		2.0	0.8	2.0	6.6	4.9
6–7 Jan		1,003	24.9	17.8	31.8	10.9	4.2					10.4	6.9
3–7 Jan		1,500	26.3	17.3	32.2	8.3	3.8	2.8	2.9		2.2	4.2	5.9

2018

Coalition vote

Graphical summary

2019

2018

Seat projections

Chamber of Deputies

630 seats are available. 316 seats are needed for a majority.
In some polls only the 618 constituencies in Italy proper are allocated, while the 12 abroad constituencies are omitted.

Date	Polling firm	Centre-right	M5S	Centre-left	LeU	Others	Lead	Majority
Date	Polling firm						Lead	Majority
26 Aug 2019		410	92	120	0	8	290	+94
9 Aug 2019		413	88	115	0	2	298	+97
9 Aug 2019		416	81	119	0	2	297	+100
19 Jul 2019		413	81	122	0	2	291	+97
26 May 2019		404	79	135	0	0	269	+88
26 May 2019		415	81	122	0	0	293	+99
26 May 2019		429	76	132	0	0	297	+113
26 May 2019		406	78	134	0	0	272	+90
8–11 Apr 2019	without tossups	397	106	115	0	0	282	+81
8–11 Apr 2019		385	105	113	0	15	272	+69
26 Mar 2019		382	127	107	0	1	255	+66
27 Oct 2018		338	187	90	0	1	149	+22
4 March 2018		265	227	122	14	2	38	–51

Senate of the Republic

315 seats are available, plus 6 senators for life. 161 seats are needed for a majority.
In some polls only the 309 constituencies in Italy proper are allocated, while the 6 abroad constituencies are omitted.

Date	Polling firm	Centre-right	M5S	Centre-left	LeU	Others	Lead	Majority
Date	Polling firm						Lead	Majority
9 Aug 2019		210	40	57	0	2	153	+49
19 Jul 2019		208	40	59	0	2	149	+47
26 May 2019		206	41	60	0	2	146	+45
26 Mar 2019		190	63	55	0	1	126	+29
27 Oct 2018		168	91	45	0	1	73	+7
4 March 2018		137	112	60	4	2	25	–24

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