Opinion polling for the 2022 Brazilian presidential election

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File:Brazilian DRE voting machine for 2022 elections.jpg
A Brazilian direct-recording electronic voting machine

Since the 2018 Brazilian general election, polling companies have published surveys tracking voting intention for the next election. The results of these surveys are listed below in reverse chronological order and include candidates who frequently polled above 3%.

The first round of the 2022 Brazilian general election took place on 2 October.[1] As no candidate reached a majority of the votes,[2] a second round was held on 30 October.[1]

First round

The first round took place on 2 October 2022.[1]

Chart

File:Opinion polling for the 2022 Brazilian presidential election (First round).svg
Local regression of polls conducted

Polling aggregation

Aggregator Last update Template:Img
PL		 Template:Img
PT		 Template:Img
PDT		 Template:Img
MDB		 Others
[lower-alpha 1]		 Blank/Null/
Undec.		 Lead
The Economist[3] 1 Oct 2022 38% 51% 5% 6% (N/A) (N/A) Lula +13
Veja[4] 1 Oct 2022 33.7% 44.7% 6.8% 4.7% (N/A) (N/A) Lula +11.0
Estadão[5] 1 Oct 2022 33% 47% 5% 6% 2% 7% Lula +14
CNN Brasil[6] 1 Oct 2022 34% 48% 5% 6% 2% 6% Lula +14
PollingData[7] 1 Oct 2022 37.5% 43.7% 5.1% 5.3% 1.9% 6.5% Lula +6.2
El Pais[8] 1 Oct 2022 35.3% 46.7% 6.0% 4.9% (N/A) (N/A) Lula +11.4
El Electoral[9] 1 Oct 2022 38.5% 48.5% 5.5% 5.0% (N/A) (N/A) Lula +10.0
Pollstergraph[10] 1 Oct 2022 37.1% 44.8% 5.6% 4.7% (N/A) (N/A) Lula +7.7

2022

Jul–Oct
Publisher/Pollster Polling
period		 Sample
size		 Template:Img
PL		 Template:Img
PT		 Template:Img
PDT		 Template:Img
MDB		 Others
[lower-alpha 1]		 Blank/Null/
Undec.		 Lead
Results 2 Oct Valid votes 43.2% 48.4% 3.0% 4.2% 1.2% (N/A) 5.2%
Total votes 41.3% 46.3% 2.9% 3.9% 1.1% 4.4% 5.0%
Datafolha[11] 30 Sep – 1 Oct 12,800 34% 48% 5% 6% 2% 5% 14%
IPEC[12] 29 Sep – 1 Oct 3,008 34% 47% 5% 5% 2% 7% 13%
Abrapel/Ipespe[13] 30 Sep 1,100 33% 46% 7% 6% 1% 4% 13%
Atlas[14] 28–30 Sep 4,500 40.7% 49.8% 3.9% 2.6% 1.8% 1% 9.1%
CNT/MDA[15] 28–30 Sep 2,002 36.3% 44.2% 4.5% 4.3% 2.2% 8.5% 7.9%
29 Sep Third presidential debate.
Datafolha[16] 27–29 Sep 6,800 34% 48% 6% 5% 1.2% 4% 14%
Atlas[17] 24–28 Sep 4,500 39.9% 49.3% 3.5% 2.5% 1.9% 2.7% 9.4%
Exame/Ideia[18] 23–28 Sep 1,500 37% 47% 6% 5% 1.2% 4% 10%
Genial/Quaest[19] 24–27 Sep 2,000 33% 46% 6% 5% 1% 9% 13%
Atlas[20] 22–26 Sep 4,500 41% 48.3% 3.5% 2.1% 2.7% 2.3% 7.3%
Ipec[21] 25–26 Sep 3,008 31% 48% 6% 5% 2% 8% 17%
BTG Pactual/FSB[22] 23–25 Sep 2,000 35% 45% 7% 4% 2% 6% 10%
24 Sep Second presidential debate. Lula did not attend.[23]
Abrapel/Ipespe[24] 21–23 Sep 1,100 35% 46% 6% 4% 0% 9% 11%
Datafolha[25] 20–22 Sep 6,754 33% 47% 7% 5% 1% 6% 14%
XP/Ipespe[26] 19–21 Sep 2,000 35% 46% 7% 4% 1% 7% 11%
PoderData[27] 18–20 Sep 3,500 37% 44% 7% 4% 2% 5% 7%
Genial/Quaest[28] 17–20 Sep 2,000 34% 44% 6% 5% 1% 10% 10%
Arko/Atlas[29] 16–20 Sep 7,514 38.6% 48.4% 6.3% 4.0% 1.8% 1% 9.8%
Ipec[30] 17–18 Sep 3,008 31% 47% 7% 5% 1% 9% 16%
BTG/FSB[31] 16–18 Sep 2,000 35% 44% 7% 5% 1% 7% 9%
Abrapel/Ipespe[32] 14–16 Sep 1,100 35% 45% 7% 5% 2% 5% 10%
Datafolha[33] 13–15 Sep 5,926 33% 45% 8% 5% 2% 6% 12%
PoderData[34] 11–13 Sep 3,500 37% 43% 8% 5% 1% 5% 6%
Genial/Quaest[35] 10–13 Sep 2,000 34% 42% 7% 4% 2% 11% 8%
Globo/Ipec[36] 9–11 Sep 2,512 31% 46% 7% 4% 2% 10% 15%
BTG/FSB[37] 9–11 Sep 2,000 35% 41% 9% 7% 2% 6% 6%
Datafolha[38] 8–9 Sep 2,676 34% 45% 7% 5% 1% 7% 11%
Abrapel/Ipespe[39] 7–9 Sep 1,100 36% 44% 8% 5% 2% 5% 8%
BTG/FSB[40] 2–4 Sep 2,000 34% 42% 8% 6% 3% 7% 8%
Globo/Ipec[41] 2–4 Sep 2,512 31% 44% 8% 4% 2% 11% 13%
Genial/Quaest[42] 1–4 Sep 2,000 34% 44% 7% 4% 2% 9% 10%
Abrapel/Ipespe[43] 30 Aug – 1 Sep 1,100 35% 44% 9% 5% 2% 5% 9%
Datafolha[44] 30 Aug – 1 Sep 5,734 32% 45% 9% 5% 3% 6% 13%
PoderData[45] 28–30 Aug 3,500 36% 44% 8% 4% 1% 5% 8%
Paraná Pesquisas[46] 26–30 Aug 2,020 37.1% 41.3% 7.7% 2.4% 1.6% 9.9% 4.2%
XP/Ipespe[47] 26–29 Aug 2,000 35% 43% 9% 5% 1% 6% 8%
28 Aug First presidential debate.[48]
BTG/FSB[49] 26–28 Aug 2,000 36% 43% 9% 4% 2% 7% 7%
Ipec[50] 26–28 Aug 2,000 32% 44% 7% 3% 1% 13% 12%
Quaest[51] 25–28 Aug 2,000 32% 44% 8% 3% 2% 11% 12%
CNT/MDA[52] 25–28 Aug 2,002 34.1% 42.3% 7.3% 2.1% 1.1% 12.8% 8.2%
26 Aug Beginning of the period allowed for political advertisement on television and radio.
Atlas[53] 20–25 Aug 7,475 38.3% 46.7% 6.4% 3.6% 3.1% 1.9% 8.4%
Exame/Ideia[54] 19–24 Aug 1,500 36% 44% 9% 4% 3.6% 5% 8%
Paraná Pesquisas[55] 19–23 Aug 2,020 37% 41.7% 7.3% 2.7% 1% 10.1% 4.7%
BTG/FSB[56] 19–21 Aug 2,000 36% 45% 6% 3% 2% 9% 9%
Datafolha[57] 16–18 Aug 5,744 32% 47% 7% 2% 1% 8% 15%
16 Aug Official beginning of the election campaign.
PoderData[58] 14–16 Aug 3,500 37% 44% 6% 4% 1% 7% 7%
IPEC[59] 12–14 Aug 2,000 32% 44% 6% 2% 1% 15% 12%
FSB Comunicação[60] 12–14 Aug 2,000 34% 45% 8% 2% 3% 8% 11%
Quaest/Genial[61] 11–14 Aug 2,000 33% 45% 6% 3% 1% 12% 12%
FSB Comunicação[62] 5–7 Aug 2,000 34% 41% 7% 3% 4% 11% 7%
5 Aug Brazil Union formally launches the candidacy of senator Soraya Thronicke.[63]
4 Aug André Janones (Avante) withdraws his candidacy; endorses Lula.[64]
PoderData[65] 31 Jul – 2 Aug 3,500 35% 43% 7% 4% 4% 6% 8%
Paraná Pesquisas[66] 28 Jul – 1 Aug 2,020 35.6% 41.1% 7.9% 1.8% 3.3% 10.3% 5.5%
31 Jul Congressman Luciano Bivar (Brazil Union) withdraws his candidacy.[67]
Quaest/Genial[68] 28–31 Jul 2,000 32% 44% 5% 2% 5% 12% 12%
Datafolha[69] 27–28 Jul 2,566 29% 47% 8% 2% 5% 9% 18%
BTG/FSB[70] 22–24 Jul 2,000 31% 44% 9% 2% 4% 10% 13%
XP/Ipespe[71] 20–22 Jul 2,000 35% 44% 9% 4% 2% 6% 9%
20 Jul Beginning of the period for the realization of party conventions.[72]
Exame/Ideia[73] 15–20 Jul 1,500 33% 44% 8% 4% 4% 7% 11%
PoderData[74] 17–19 Jul 3,000 37% 43% 6% 3% 3% 8% 6%
BTG/FSB[75] 8–10 Jul 2,000 32% 41% 9% 4% 6% 8% 9%
32% 42% 9% 4% 4% 9% 10%
PoderData[76] 3–5 Jul 3,000 36% 44% 5% 3% 3% 9% 8%
Quaest/Genial[77] 29 Jun – 2 Jul 2,000 31% 45% 6% 2% 4% 12% 14%
31% 45% 7% 3% 3% 11% 14%
31% 47% 8% 3% 0% 12% 16%
Apr–Jun
Publisher/Pollster Polling
period		 Sample
size		 Template:Img
PL		 Template:Img
PT		 Template:Img
PDT		 Template:Img
PSDB		 Others
[lower-alpha 1]		 Blank/Null/
Undec.		 Lead
BTG/FSB[78] 24–26 Jun 2,000 33% 43% 8% N/A 7% 9% 10%
Modalmais/Futura[79] 20–24 Jun 2,000 37.6% 38.9% 7.3% N/A 5.1% 11% 1.3%
Datafolha[80] 22–23 Jun 2,556 28% 47% 8% N/A 5% 11% 19%
Exame/Ideia[81] 17–22 Jun 1,500 36% 45% 7% N/A 6% 7% 9%
PoderData[82] 19–21 Jun 3,000 34% 44% 6% N/A 5% 9% 10%
BTG/FSB[83] 10–12 Jun 2,000 32% 44% 9% N/A 4% 8% 12%
PoderData[84] 5–7 Jun 3,000 35% 43% 6% N/A 5% 10% 8%
Quaest/Genial[85] 2–5 Jun 2,000 30% 46% 7% N/A 4% 13% 16%
29% 47% 9% N/A 3% 12% 18%
30% 48% 9% N/A 3% 11% 18%
Instituto GERP[86] 30 May – 3 Jun 2,095 37% 39% 8% N/A 6% 10% 2%
37% 39% 7% N/A 8% 9% 2%
XP/Ipespe[87] 30 May – 1 Jun 1,000 34% 45% 9% N/A 6% 7% 11%
Paraná Pesquisas[88] 26–30 May 2,020 35.3% 41.4% 7.7% N/A 5.4% 10.1% 6.1%
BTG/FSB[89] 27–29 May 2,000 32% 46% 9% N/A 3% 8% 14%
Datafolha[90] 25–26 May 2,556 27% 48% 7% N/A 6% 11% 21%
XP/Ipespe[91] 23–25 May 1,000 34% 45% 8% N/A 7% 5% 11%
CNN Brasil/Real Time Big Data[92] 23–24 May 3,000 32% 40% 9% N/A 5% 13% 8%
PoderData[93] 22–24 May 3,000 35% 43% 5% 1% 7% 10% 8%
23 May Facing pressure from within his own party, João Doria, former governor of São Paulo, withdraws his candidacy.[94][95]
Modalmais/Futura[96] 16–19 May 2,000 36% 41% 5.6% 2.5% 4.1% 10.8% 5%
Exame/Ideia[97] 14–19 May 1,500 32% 41% 9% 2% 5.2% 12% 9%
33% 40% 8% — 6.9% 14% 7%
XP/Ipespe[98] 16–18 May 1,000 32% 44% 8% 4% 4% 8% 12%
XP/Ipespe[99] 9–11 May 1,000 32% 44% 8% 3% 3% 10% 12%
PoderData[100] 8–10 May 3,000 35% 42% 5% 4% 5% 9% 7%
35% 42% 7% 5% 5% 7% 7%
Quaest/Genial[101] 5–8 May 2,000 29% 46% 7% 3% 5% 9% 17%
31% 46% 9% 4% N/A 10% 15%
33% 50% N/A 5% N/A 12% 17%
33% 48% 10% N/A N/A 10% 15%
7 May Former President Lula formally launches his candidacy.[102][103]
CNT/MDA[104] 4–7 May 2,002 32% 40.6% 7.1% 3.1% 5.1% 12.1% 8.6%
XP/Ipespe[105] 2–4 May 1,000 31% 44% 8% 3% 4% 10% 13%
Paraná Pesquisas[106] 28 Apr – 3 May 2,020 35.2% 40% 7.4% 3.2% 3.4% 10.7% 4.8%
35.7% 42.6% N/A 4.9% 4% 12.8% 6.9%
PoderData[107] 24–26 Apr 3,000 36% 41% 6% 4% 5% 7% 5%
BTG/FSB[108] 22–24 Apr 2,000 32% 41% 9% 3% 5% 9% 9%
XP/Ipespe[109] 18–20 Apr 1,000 31% 45% 8% 3% 4% 10% 14%
Exame/Ideia[110] 15–20 Apr 1,500 33% 42% 10% 3% 5% 7% 9%
14 Apr Brazil Union announces the candidacy of congressman Luciano Bivar.[111]
13 Apr Workers' Party national committee formally approves Geraldo Alckmin as Lula's running mate.[112]
PoderData[113] 10–12 Apr 3,000 35% 40% 5% 3% 6% 11% 5%
XP/Ipespe[114] 2–5 Apr 1,000 30% 44% 9% 3% 3% 12% 14%
Paraná Pesquisas[115] 31 Mar – 5 Apr 2,020 35.3% 41.5% 5.8% 3.1% 1.2% 13.1% 6.2%
Quaest/Genial[116] 1–3 Apr 2,000 31% 45% 6% 2% 4% 12% 14%
Jan–Mar
Publisher/Pollster Polling
period		 Sample
size		 Template:Img
PL		 Template:Img
PT		 [[Image:|x80px]]
Moro
PODE		 Template:Img
PDT		 Template:Img
PSDB		 Others
[lower-alpha 1]		 Blank/Null/
Undec.		 Lead
Instituto GERP[117] 31 Mar – 5 Apr 2,095 35% 37% 6% 5% 1% 2% 7% 2%
31 Mar Former Minister Moro leaves Podemos and joins Brazil Union, suspending his candidacy.[118]
PoderData[119] 27–29 Mar 3,000 32% 41% 6% 7% 3% 4% 7% 9%
Modalmais/Futura[120] 21–25 Mar 2,000 35.5% 38.5% 5.3% 5.1% 1.3% 4.8% 9.4% 3%
Datafolha[121] 22–23 Mar 2,556 26% 43% 8% 6% 2% 5% 8% 17%
26% 43% 8% 7% N/A 6% 10% 17%
26% 44% 8% 7% 2% 5% 8% 18%
26% 43% 8% 8% N/A 5% 9% 17%
XP/Ipespe[122] 21–23 Mar 1,000 26% 44% 9% 7% 2% 4% 9% 18%
Exame/Ideia[123] 18–23 Mar 1,500 29% 40% 9% 9% 1% 5% 6% 11%
FSB[124] 18–20 Mar 2,000 29% 43% 8% 9% 2% 5% 5% 14%
PoderData[125] 13–15 Mar 3,000 30% 40% 7% 7% 2% 6% 8% 10%
Quaest/Genial[126] 10–13 Mar 2,000 26% 44% 7% 7% 2% 3% 13% 18%
25% 45% 6% 7% 2% 4% 10% 20%
28% 48% N/A 8% N/A 3% 12% 20%
Ranking Brasil[127] 7–12 Mar 3,000 32.4% 39% 7.2% 6.5% 2.4% N/A 10.5% 6.6%
Instituto GERP[126] 7–10 Mar 2,095 31% 38% 7% 5% 2% 1% 8% 7%
9 Mar Senator Rodrigo Pacheco (PSD) announces he will not run for president.[128]
XP/Ipespe[129] 7–9 Mar 1,000 28% 43% 8% 8% 3% 3% 9% 15%
Paraná Pesquisas[130] 3–8 Mar 2,020 30.9% 38.9% 7.4% 6.8% 2.2% 2.5% 11.2% 8%
PoderData[131] 27 Feb – 1 Mar 3,000 32% 40% 6% 7% 2% 6% 8% 8%
Ipespe[132] 21–23 Feb 1,000 26% 43% 8% 7% 3% 4% 9% 17%
Exame/Ideia[133] 18–22 Feb 1,500 27% 42% 10% 8% 3% 3.7% 6% 15%
CNT/MDA[134] 16–19 Feb 2,002 28% 42.2% 6.4% 6.7% 1.8% 2.7% 12.2% 14.2%
Modalmais/Futura[120] 14–17 Feb 2,000 34.7% 35% 7.5% 5.8% 1.8% 4.5% 10.5% 0.3%
PoderData[135] 13–15 Feb 3,000 31% 40% 9% 4% 3% 4% 8% 9%
XP/Ipespe[136] 7–9 Feb 1,000 25% 43% 8% 8% 3% 2% 12% 18%
Quaest/Genial[137] 3–6 Feb 2,000 23% 45% 7% 7% 2% 3% 13% 22%
Paraná Pesquisas[138] 27 Jan – 1 Feb 2,020 29.1% 40.1% 10.1% 5.6% 2.4% 2.4% 10.3% 11%
PoderData[139] 31 Jan – 1 Feb 3,000 30% 41% 7% 7% 2% 5% 8% 11%
XP/Ipespe[140] 24–25 Jan 1,000 24% 44% 8% 8% 2% 3% 12% 20%
Modalmais/Futura[141] 17–21 Jan 2,000 33.2% 39.5% 8.4% 7.5% 3.2% N/A 8.2% 6.3%
PoderData[142] 16–18 Jan 3,000 28% 42% 8% 3% 2% 4% 12% 14%
Exame/Ideia[143] 9–13 Jan 1,500 24% 41% 11% 7% 4% 1% 11% 17%
XP/Ipespe[144] 10–12 Jan 1,000 24% 44% 9% 7% 2% 3% 13% 20%
Quaest/Genial[145] 6–9 Jan 2,000 23% 45% 9% 5% 3% 1% 12% 22%

2021

Publisher/Pollster Polling
period		 Sample
size		 Template:Img
PL		 Template:Img
PT		 [[Image:|x80px]]
Moro
PODE		 Template:Img
PDT		 Template:Img
PSDB		 Template:Img
UNION		 Template:Img
PSD		 Template:Img
MDB		 Others Blank/Null/
Undec.		 Lead
PoderData[146] 19–21 Dec 3,000 30% 40% 7% 4% 4% N/A N/A 1% 3% 11% 10%
Ipespe[147] 14–16 Dec 1,000 24% 44% 9% 7% 3% N/A 1% N/A 1% 12% 20%
23% 43% 9% 7% 3% N/A N/A 1% 2% 9% 20%
Datafolha[148] 13–16 Dec 3,666 22% 48% 9% 7% 4% N/A N/A N/A N/A 10% 26%
Ipec[149] 9–13 Dec 2,002 22% 49% 8% 5% 3% N/A N/A N/A N/A 13% 27%
21% 48% 6% 5% 2% N/A N/A 1% 3% 14% 27%
Exame/Ideia[150] 6–9 Dec 1,200 27% 37% 10% 6% 4% N/A 1% N/A 2% 10% 10%
Publisher/Pollster Polling
period		 Sample
size		 Template:Img
PL		 Template:Img
PT		 [[Image:|x80px]]
Moro
PODE		 Template:Img
PDT		 Template:Img
PSDB		 Template:Img
PSDB		 Template:Img
UNION		 Template:Img
PSD		 Others
[lower-alpha 2]		 Blank/Null/
Undec.		 Lead
colspan=3 Template:Opdrts MDB confirms the candidacy of senator Simone Tebet.[152]
Quaest/Genial[153] 2–5 Dec 2,037 23% 46% 10% 5% 2% N/A N/A 1% 1% 11% 23%
colspan=3 Template:Opdrts President Bolsonaro joins the Liberal Party.[154]
Atlas Político[155] 27–29 Nov 4,401 31.5% 42.8% 13.7% 6.1% 1.7% N/A N/A 0.9% 0.1% 3.2% 11.3%
colspan=3 Template:Opdrts Governor of São Paulo João Doria wins the PSDB presidential primary.[156]
Ipespe[157] 22–24 Nov 1,000 25% 42% 11% 9% 2% N/A 1% 1% 1% 3% 17%
24% 42% 11% 9% N/A 2% N/A 2% 1% 8% 18%
PoderData[158] 22–24 Nov 2,500 29% 34% 8% 7% 5% N/A 3% N/A 4% 9% 5%
27% 36% 8% 9% N/A 5% 2% N/A 3% 8% 9%
Futura/ModalMais[159] 16–20 Nov 2,000 30.8% 37% 13.6% 7.5% 1.9% N/A N/A N/A 2.1% 7.1% 6.2%
Paraná Pesquisas[160] 16–19 Nov 2,020 29.2% 34.9% 10.7% 6.1% 3.1% N/A 1.2% 0.4% 1.6% 13.4% 5.7%
29.8% 35.1% 11% 6.1% N/A 1.6% N/A 0.6% 1.2% 13.6% 5.3%
Ponteio Política[161] 16–18 Nov 1,000 N/A 37% 18% 11% 3% N/A N/A N/A N/A 31% 19%
24% 37% 11% 8% 3% N/A N/A N/A N/A 17% 13%
Exame/Ideia[162] 9–11 Nov 1,200 25% 35% 5% 7% 2% 2% 1% 1% 2% 20% 10%
Quaest/Genial[163] 3–6 Nov 2,063 21% 48% 8% 6% 2% N/A N/A 1% N/A 14% 27%
21% 47% 8% 7% N/A 1% N/A 1% N/A 14% 26%
Vox Populi[164] 30 Oct – 4 Nov 2,000 21% 44% 3% 4% 1% N/A 1% N/A 3% 22% 23%
21% 45% 3% 5% N/A 1% 1% N/A 3% 21% 24%
XP/Ipespe[165] 25–28 Oct 1,000 28% 42% N/A 11% 4% N/A 3% 2% N/A 10% 14%
25% 41% 8% 9% N/A 3% 3% 2% 4% 5% 16%
PoderData[166] 25–27 Oct 2,500 28% 35% 8% 5% 4% N/A 4% 1% 6% 9% 7%
30% 34% 7% 7% N/A 3% 4% 1% 7% 7% 4%
colspan=3 Template:Opdrts PSD confirms the candidacy of senator Rodrigo Pacheco.[167]
colspan=3 Template:Opdrts Former Judge and Justice Minister Moro confirms candidacy.[168]
Quaest/Genial[169] 30 Sep – 3 Oct 2,048 24% 43% N/A 10% N/A N/A N/A N/A 11% 12% 19%
24% 44% 10% 9% N/A N/A N/A N/A N/A 12% 20%
26% 45% N/A 10% 6% N/A N/A N/A N/A 13% 19%
PoderData[170] 27–29 Sep 2,500 30% 40% N/A 5% 3% N/A 3% 2% 6% 11% 10%
28% 43% N/A 5% N/A 4% 3% 1% 4% 11% 15%
Ipespe[171] 22–24 Sep 1,000 28% 43% N/A 11% 5% N/A 4% 2% N/A 7% 15%
25% 42% 7% 9% 5% 3% 3% 1% 4% 6% 17%
Ipec[172] 16–20 Sep 2,002 23% 48% N/A 8% 3% N/A 3% N/A N/A 14% 25%
22% 45% 5% 6% 2% N/A 3% 1% 3% 14% 23%
Datatempo[173] 9–15 Sep 2,025 22% 36% 5.6% 7.8% 2% N/A N/A N/A 13.4% 14.2% 14%
Datafolha[174] 13–15 Sep 3,667 26% 44% N/A 9% 4% N/A 3% N/A N/A 12% 18%
25% 42% N/A 12% N/A 4% 2% N/A N/A 13% 17%
25% 44% N/A 11% 6% N/A N/A N/A N/A 12% 19%
24% 42% N/A 10% 5% N/A N/A 1% 7% 12% 18%
Paraná Pesquisas[175] 1–5 Sep 2,012 30.9% 35.5% N/A 9.7% 7.4% N/A N/A N/A N/A 16.5% 4.6%
PoderData[176] 30 Aug – 1 Sep 2,500 28% 37% N/A 8% 4% N/A 5% 4% 3% 11% 9%
Quaest/Genial[177] 26–29 Aug 2,000 26% 47% N/A 8% 6% N/A N/A N/A N/A 13% 21%
XP/Ipespe[178] 11–14 Aug 1,000 24% 40% 9% 10% 5% 4% 4% N/A N/A 9% 16%
28% 37% N/A 11% 5% N/A N/A 1% 5% 13% 9%
PoderData[179] 2–4 Aug 2,500 25% 39% N/A 8% 6% N/A 4% N/A 7% 11% 14%
Quaest/Genial[180] 29 Jul – 1 Aug 1,500 29% 46% N/A 12% N/A N/A N/A N/A N/A 13% 17%
27% 44% N/A 10% N/A N/A N/A N/A 10% 10% 17%
Paraná Pesquisas[181] 24–28 Jul 2,010 32.7% 33.7% N/A 6.8% 3.9% N/A 1.8% 0.8% 7.7% 12.7% 1%
Datafolha[182] 7–8 Jul 2,074 25% 46% N/A 8% 5% N/A 4% N/A N/A 12% 21%
XP/Ipespe[183] 5–7 Jul 1,000 26% 38% 9% 10% 2% N/A 3% N/A 3% 13% 12%
27% 35% N/A 11% N/A 4% 5% N/A 6% 13% 8%
Publisher/Pollster Polling
period		 Sample
size		 Template:Img
Indep.		 Template:Img
PT		 Template:Img
PT		 Template:Img
PCdoB		 Template:Img
PDT		 Template:Img
PSOL		 Template:Img
PSDB		 Template:Img
NOVO		 [[Image:|x80px]]
Moro
PODE		 Template:Img
Indep.		 Others Blank/Null/
Undec.		 Lead
Exame/Ideia[184] 22–24 Jun 1,200 31% 39% N/A N/A 14% N/A 8% N/A N/A N/A N/A 8% 8%
Instituto Ipec[185] 17–21 Jun 2,002 23% 49% N/A N/A 7% N/A 5% N/A N/A N/A 3% 13% 26%
colspan=3 Template:Opdrts Huck withdraws candidacy.[186]
Instituto Mapa[187] 18–20 May 2,000 26.8% 36.8% N/A N/A 5.0% N/A 3.3% 2.6% 5.1% 4.5% 2.7% 13.5% 10%
Vox Populi[188] 12–16 May 2,000 24% 43% N/A N/A 5% N/A 2% 2% N/A 8% N/A 14% 19%
Datafolha[189] 11–12 May 2,071 23% 41% N/A N/A 6% N/A 3% 2% 7% 4% 2%[lower-alpha 3] 13% 18%
Exame/Ideia[190] 19–22 Apr 1,200 32% 33% N/A N/A 9% N/A 4% 3% N/A 6% 5%[lower-alpha 4] 9% 1%
PoderData[191] 12–14 Apr 3,500 31% 34% N/A N/A 6% N/A 4% 5% 3% 6% 2%[lower-alpha 5] 9% 3%
XP/Ipespe[192] 29–31 Mar 1,000 28% 29% N/A N/A 9% 3% 3% N/A 9% 5% 3%[lower-alpha 6] 12% 1%
PoderData[193] 15–17 Mar 3,500 30% 34% N/A N/A 5% N/A 3% 3% 6% 4% 2%[lower-alpha 7] 13% 4%
Revista Fórum/Offerwise[194] 11–15 Mar 1,000 30.7% 31.2% N/A N/A 7.4% N/A 6.4% N/A N/A N/A N/A 24.3% 0.5%
29.2% 27.1% N/A 0.2% 6.1% 1.5% 4.9% 1.6% 7.8% 6.8% N/A 14.6% 2.1%
31.2% N/A 13.3% N/A 7.7% 3.2% 7.0% 2.0% N/A 6.8% N/A 28.8% 17.9%
XP/Ipespe[195] 9–11 Mar 1,000 27% 25% N/A N/A 9% 3% 3% 3% 10% 6% 2%[lower-alpha 8] 13% 2%
28% N/A 11% N/A 11% 6% 4% 3% 11% 7% 3%[lower-alpha 9] 17% 17%
Exame/Ideia[196] 10–11 Mar 1,000 33% 18% N/A N/A 9% 5% 7% 3% 11% 6% 2% 7% 15%
Atlas[197] 8–10 Mar 3,721 32.7% 27.4% N/A 0.7% 7.5% 0.9% 4.3% 2.0% 9.7% 2.5% 5.0% 6.1% 5.3%
32.3% N/A 15.7% 1.3% 11.6% 2.3% 5.3% 2.5% 10.4% 4.4% 6.0% 7.1% 16.6%
CNN Brasil/Real Time Big Data[198] 8–9 Mar 1,200 31% 21% N/A N/A 9% N/A 4% 2% 10% 7% N/A 15% 10%
colspan=3 Template:Opdrts Lula's corruption charges annulled; political rights restored.[199]
Paraná Pesquisas[200] 28 Feb − 1 Mar 2,080 37.6% N/A 14.3% N/A 13% N/A 6.9% 3.9% N/A N/A 2.7% 21.5% 23.3%
32.2% 18% N/A N/A 8.7% 3.5% 5.3% 3% 11.6% N/A 1.4% 16.3% 14.2%
32.9% N/A 10.8% N/A 10.3% 3.2% N/A 3% 12% 8.7% 2.3% 17.2% 20.4%
33.9% N/A 11.8% N/A 10.7% 3.2% 6.3% 3.2% 12.3% N/A N/A 18.6% 21.6%
31.9% N/A 10.5% N/A 10% 3.2% 5.3% 2.8% 11.5% 8% N/A 16.8% 20.5%
Exame/ideia[201] 24−28 Jan 1,200 36% 17% N/A N/A 11% 8% 6% N/A N/A N/A N/A 22% 19%
33% 15% N/A N/A 10% 5% N/A N/A N/A 10% N/A 26% 18%
32% 17% N/A 3% 10% 5% 3% N/A 7% 8% 1% 15% 15%
Paraná Pesquisas[202] 22−26 Jan 2,002 30.5% N/A 9.5% N/A 10.6% 3.5% 5.4% 2.9% 12% 8.1% N/A 17.4% 18.5%
31% 17.3% N/A N/A 9.2% 3.6% 5.3% 3.3% 12.1% N/A N/A 15.8% 13.7%
33.7% N/A 11.7% 1% 12.1% N/A 6.7% 3.1% N/A 9.4% 3.8% 19.1% 21.6%
Atlas[203] 20−24 Jan 3,073 34.4% N/A 13.4% N/A 11.6% N/A 4.3% N/A 11.6% N/A 4.8% 19.9% 21%
34.5% 22.3% N/A 1.4% 8.8% N/A 3.6% N/A 11.3% 1.9% 3.4% 12.8% 12.2%
XP/Ipespe[204] 11−14 Jan 1,000 28% N/A 11% N/A 11% 5% 4% 3% 12% 7% N/A 18% 16%
2018 general election 7 Oct N/A 46.03% N/A 29.28% N/A 12.47% 0.58% 4.76% 2.50% N/A N/A 3.38% N/A 16.75%

2020

Publisher/Pollster Polling
period		 Sample
size		 Template:Img
Indep.		 Template:Img
PT		 Template:Img
PT		 Template:Img
PCdoB		 Template:Img
PDT		 Template:Img
PSOL		 Template:Img
PSDB		 Template:Img
NOVO		 [[Image:|x80px]]
Moro
PODE		 Template:Img
Indep.		 Others Blank/Null/
Undec.		 Lead
PoderData[205] 21−23 Dec 2,500 36% N/A 13% 1% 10% 5% 3% 3% 7% 9% 1% 12% 23%
XP/Ipespe[206] 7−9 Dec 1,000 29% N/A 12% N/A 9% 5% 4% 3% 11% 7% 2% 19% 17%
Exame/Ideia[207] 30 Nov − 3 Dec 1,200 28% 16% N/A 1% 7% N/A 4% 1% 10% 4% 4% 24% 12%
Paraná Pesquisas[208] 28 Nov − 1 Dec 2,036 33.3% N/A 8.8% N/A 10% 5.7% 3.7% 2.8% 11.8% 7.8% N/A 16% 21.5%
32.9% 17.8% N/A N/A 7.7% 4.9% 3.8% 2.8% 11.9% N/A N/A 15.2% 15.1%
35.8% N/A 11.5% 1.2% 12.1% N/A 4.8% 3.5% N/A 9.5% 2.7% 19.1% 23.7%
XP/Ipespe[206] 18−20 Nov 1.000 29% N/A 13% N/A 8% 5% 3% 4% 13% 7% 3% 19% 16%
XP/Ipespe[209] 8−11 Oct 1,000 31% N/A 14% N/A 10% N/A 3% 3% 11% 5% 3% 20% 17%
Exame/Ideia[210] 5−8 Oct 1,200 30% 18% N/A 1% 9% N/A 4% 1% 10% 5% 3% 19% 12%
PoderData[211] 14−16 Sep 2,500 35% N/A 10% 4% 7% N/A 5% N/A 13% N/A 7% 19% 22%
35% 21% N/A 3% 3% N/A 4% N/A 11% N/A 5% 18% 14%
Exame/Ideia[212] 24−31 Aug 1,235 31% 17% — 1% 6% N/A 3% 3% 13% 5% 5% 14% 14%
Revista Fórum/Offerwise[213] 21−24 Aug 1,000 41.7% N/A 14.8% 1.2% 7.7% N/A 3.7% 2.3% 13.3% 9.7% 1.6% N/A 26.9%
PoderData[214] 3−5 Aug 2,500 38% N/A 14% 3% 6% N/A 4% N/A 10% N/A 5% 20% 24%
Paraná Pesquisas[215] 18−21 Jul 2,030 29% N/A 13.4% N/A 9.9% N/A 4.0% 3.4% 17.1% 6.5% 1.7% 14.9% 11.9%
27.5% 21.9% N/A N/A 8.3% N/A 3.8% 3.4% 16.8% N/A 1.6% 14.1% 5.6%
30.7% N/A 14.5% 1.6% 10.7% N/A 4.6% 4% N/A 8.3% 6.6% 18.9% 16.2%
Quaest[216] 14−17 Jun 1,000 22% N/A 13% N/A 12% N/A 2% N/A 19% 5% 3% 23% 3%
Paraná Pesquisas[217] 27–29 Apr 2,006 27% N/A 14.1% N/A 10.3% N/A 3.7% 4% 18.1% 6% 2.2% 14.6% 8.9%
26.3% 23.1% N/A N/A 8.1% N/A 3.8% 4% 17.5% N/A 1.9% 13% 3.2%
29.1% N/A 15.4% 1.4% 11.1% N/A 4.4% 4.5% N/A 8.1% 7.9% 18.1% 13.7%
Veja/FSB[218] 7–10 Feb 2,000 37% N/A 13% N/A 11% N/A 3% 5% N/A 12% N/A 21% 24%
31% 28% N/A N/A 8% N/A 4% 5% N/A 11% N/A 12% 3%
28% N/A 15% N/A 9% N/A 3% 4% 17% 13% N/A 12% 11%
N/A N/A 14% N/A 12% N/A 4% 5% 31% 16% N/A 19% 5%
N/A 28% N/A N/A 9% N/A 3% 5% 33% 10% N/A 13% 5%
Atlas Político[219] 7–9 Feb 2,000 41% N/A N/A 13% N/A N/A 2.5% N/A N/A 14% N/A 27% 27%
32% 28% N/A 3% N/A N/A 0.6% N/A 20% 14% N/A 9% 4%
CNT/MDA[220] 15–18 Jan 2,002 29.1% 17% 2.3% N/A 3.5% N/A 0.3% 1.1% 2.4% 0.5% 2.7% 30.2% 12.2%
2018 general election 7 Oct N/A 46.03% N/A 29.28% N/A 12.47% 0.58% 4.76% 2.50% N/A N/A 3.38% N/A 16.75%

2019

Publisher/Pollster Polling
period		 Sample
size		 Template:Img
Indep.		 Template:Img
PT		 Template:Img
PT		 Template:Img
PDT		 Template:Img
PSDB		 Template:Img
NOVO		 [[Image:|x80px]]
Moro
PODE		 Template:Img
Indep.		 Others Blank/Null/
Undec.		 Lead
Veja/FSB[221] 11 Nov – 2 Dec 2,000 33% N/A 15% 11% 3% 5% N/A 12% N/A 22% 18%
32% 29% N/A 9% 4% 5% N/A 9% N/A 12% 3%
28% N/A 16% 11% 2% 4% 15% 13% N/A 12% 12%
N/A N/A 16% 12% 4% 4% 32% 15% N/A 17% 16%
N/A 29% N/A 9% 4% 5% 32% 10% N/A 11% 3%
Veja/FSB[222] 11–14 Oct 2,000 34% N/A 17% 9% 3% 5% N/A 11% N/A 21% 18%
24% N/A 14% 10% 3% 4% 17% 15% N/A 13% 7%
N/A N/A 16% 11% 5% 5% 30% 16% N/A 17% 14%
Veja/FSB[223] 16–18 Aug 2,000 35% N/A 17% 11% 3% 5% N/A 11% N/A 18% 18%
N/A N/A 18% 13% 5% 5% 27% 13% N/A 19% 9%
2018 general election 7 Oct N/A 46.03% N/A 29.28% 12.47% 4.76% 2.50% N/A N/A 4.96% N/A 16.75%

Second round

The second round took place on 30 October 2022.[1]

Bolsonaro vs. Lula

File:Opinion polling for the 2022 Brazilian presidential election (Second round).svg
Local regression of polls conducted
Polling aggregation
Aggregator Last update Template:Img
PL		 Template:Img
PT		 Blank/Null/
Undec.		 Lead
The Economist[3] 29 Oct 2022 48% 52% N/A Lula +4
Veja[4] 29 Oct 2022 43.5% 48.4% 8.1% Lula +4.9
Estadão[5] 29 Oct 2022 44% 49% 7% Lula +5
CNN Brasil[224] 29 Oct 2022 43.6% 49.6% 6.7% Lula +6.0
PollingData[7] 29 Oct 2022 45.3% 46.1% 9% Lula +0.8
El Electoral[225] 26 Oct 2022 45% 49% 6% Lula +4
Pollstergraph[10] 29 Oct 2022 45.3% 47.6% 7.1% Lula +2.3
After 2 October 2022
Publisher/Pollster Polling
period		 Sample
size		 Template:Img
PL		 Template:Img
PT		 Blank/Null/
Undec.		 Lead
Results 30 Oct 2022 Valid votes 49.1% 50.9% (N/A) 1.8%
Total votes 46.8% 48.6% 4.6% 1.7%[lower-alpha 10]
Datafolha[226] 28–29 Oct 2022 8,308 45% 49% 7% 4%
Genial/Quaest[227] 27–29 Oct 2022 2,000 42% 45% 13% 3%
Ipec[228] 27–29 Oct 2022 4,272 43% 50% 7% 7%
Atlas[229] 26–29 Oct 2022 7,500 45.7% 52.4% 1.9% 6.7%
CNT/MDA[230] 26–28 Oct 2022 2,002 44.9% 46.9% 8.2% 2%
Paraná Pesquisas[231] 26–28 Oct 2022 2,400 46.3% 47.1% 6.6% 0.8%
28 Oct 2022 Fourth presidential debate.
Datafolha[232] 25–27 Oct 2022 4,580 44% 49% 7% 5%
ModalMais/Futura[233] 24–26 Oct 2022 2,000 47.2% 46.6% 6.1% 0.6%
Gerp[234] 21–26 Oct 2022 2,095 47% 43% 9% 4%
PoderData[235] 23–25 Oct 2022 5,000 44% 49% 7% 5%
Genial/Quaest[236] 23–25 Oct 2022 2,000 42% 48% 10% 6%
Abrapel/Ipespe[237] 22–24 Oct 2022 1,100 44% 50% 6% 6%
Ipec[238] 22–24 Oct 2022 3,008 43% 50% 7% 7%
Paraná Pesquisas[239] 20–24 Oct 2022 2,020 45.9% 46.3% 7.8% 0.4%
23 Oct 2022 Third presidential debate. Lula did not attend.
Atlas[240] 18–22 Oct 2022 4,500 46.2% 52.0% 1.8% 5.8%
21 Oct 2022 Second presidential debate. Lula did not attend.
ModalMais/Futura[241] 17–19 Oct 2022 2,000 46.9% 45.9% 7.1% 1.0%
Datafolha[242] 17–19 Oct 2022 2,912 45% 49% 5% 4%
Paraná Pesquisas[243] 15–19 Oct 2022 2,020 44.5% 46.9% 8.6% 2.4%
Ideia[244] 14–19 Oct 2022 1,500 46% 50% 4% 4%
Abrapel/Ipespe[245] 17–18 Oct 2022 1,100 43% 49% 8% 6%
PoderData[246] 16–18 Oct 2022 5,000 44% 48% 8% 4%
Genial/Quaest[247] 16–18 Oct 2022 2,000 42% 47% 11% 5%
Ipec[248] 11–17 Oct 2022 3,008 43% 50% 7% 7%
16 Oct 2022 First presidential debate for second round.
CNT/MDA[249] 14–16 Oct 2022 2,002 41.8% 48.1% 10.1% 6.3%
Datafolha[250] 13–14 Oct 2022 2,898 45% 49% 6% 5%
ModalMais/Futura[251] 10–12 Oct 2022 2,000 46.5% 46.9% 6.6% 0.4%
Abrapel/Ipespe[252] 10–12 Oct 2022 2,000 43% 49% 8% 6%
Atlas[253] 8–12 Oct 2022 4,500 46.5% 51.1% 3.3% 4.6%
Paraná Pesquisas[254] 8–12 Oct 2022 2,020 44.1% 47.6% 8.4% 3.5%
PoderData[255] 9–11 Oct 2022 5,000 44% 48% 8% 4%
Gerp[256] 6–11 Oct 2022 2,095 46% 48% 6% 2%
Abrapel/Ipespe[257] 8–10 Oct 2022 1,100 43% 50% 7% 7%
IPEC[258] 8–10 Oct 2022 2,000 42% 51% 7% 9%
Datafolha[259] 5–7 Oct 2022 2,884 44% 49% 7% 5%
Genial/Quaest[260] 3–5 Oct 2022 2,000 41% 48% 11% 7%
PoderData[261] 3–5 Oct 2022 3,500 44% 48% 8% 4%
IPEC[262] 3–5 Oct 2022 2,000 43% 51% 6% 8%
ModalMais/Futura[263] 3–4 Oct 2022 2,000 46.0% 49.3% 4.7% 3.3%
2021 to 2 October 2022
Publisher/Pollster Polling
period		 Sample
size		 Template:Img
PL		 Template:Img
PT		 Blank/Null/
Undec.		 Lead
Datafolha[264] 30 Sep – 1 Oct 2022 12,800 38% 54% 8% 16%
IPEC[265] 29 Sep – 1 Oct 2022 3,008 37% 52% 11% 15%
Abrapel/Ipespe[266] 30 Sep 2022 1,100 38% 55% 7% 17%
Atlas[267] 28–30 Sep 2022 4,500 42.8% 53.1% 4.1% 10.3%
CNT/MDA[268] 28–30 Sep 2022 2,002 41.2% 50.4% 8.4% 9.2%
Atlas[269] 24–28 Sep 2022 4,500 42.4% 51.8% 5.8% 9.4%
Exame/Ideia[270] 23–28 Sep 2022 1,500 41% 52% 7% 11%
Genial/Quaest[19] 24–27 Sep 2022 2,000 38% 52% 10% 14%
Atlas[20] 22–26 Sep 2022 4,500 43.7% 51.3% 5% 7.6%
Ipec[21] 25–26 Sep 2022 3,008 35% 54% 14% 19%
BTG Pactual/FSB[22] 23–25 Sep 2022 2,000 40% 52% 8% 12%
Abrapel/Ipespe[271] 21–23 Sep 2022 1,100 38% 54% 8% 16%
Datafolha[25] 20–22 Sep 2022 6,754 38% 54% 9% 16%
XP/Ipespe[26] 19–21 Sep 2022 2,000 37% 54% 9% 17%
PoderData[272] 18–20 Sep 2022 3,500 42% 50% 8% 8%
Genial/Quaest[273] 17–20 Sep 2022 2,000 40% 50% 10% 10%
Arko/Atlas[274] 16–20 Sep 2022 7,514 41.4% 53.1% 5.5% 11.7%
Ipec[275] 17–18 Sep 2022 3,008 35% 54% 11% 19%
BTG/FSB[276] 16–18 Sep 2022 2,000 39% 52% 9% 13%
Aprapel/Ipespe[277] 14–16 Sep 2022 1,100 38% 53% 9% 15%
Datafolha[33] 13–15 Sep 2022 5,926 38% 54% 8% 16%
PoderData[278] 11–13 Sep 2022 3,500 42% 51% 6% 9%
Genial/Quaest[35] 10–13 Sep 2022 2,000 40% 48% 12% 8%
Globo/Ipec[279] 9–11 Sep 2022 2,512 36% 53% 12% 17%
BTG/FSB[280] 9–11 Sep 2022 2,000 38% 51% 11% 13%
Datafolha[281] 8–9 Sep 2022 2,676 39% 53% 9% 14%
Abrapel/Ipespe[282] 7–9 Sep 2022 1,100 39% 52% 9% 13%
BTG/FSB[283] 2–4 Sep 2022 2,000 40% 53% 8% 13%
Globo/Ipec[41] 2–4 Sep 2022 2,512 36% 52% 12% 16%
Genial/Quaest[284] 1–4 Sep 2022 2,000 39% 51% 10% 12%
Abrapel/Ipespe[285] 30 Aug – 1 Sep 2022 1,100 38% 53% 9% 15%
PoderData[286] 28–30 Aug 2022 3,500 41% 50% 9% 9%
Paraná Pesquisas[287] 26–30 Aug 2022 2,020 40.8% 47.8% 11.4% 7%
XP/Ipespe[288] 26–29 Aug 2022 2,000 38% 53% 9% 15%
BTG/FSB[289] 26–28 Aug 2022 2,000 39% 52% 9% 13%
Ipec[50] 26–28 Aug 2022 2,000 37% 50% 13% 13%
Quaest[290] 25–28 Aug 2022 2,000 37% 51% 13% 14%
CNT/MDA[52] 25–28 Aug 2022 2,002 38.8% 50.1% 11.1% 11.3%
Modalmais/Futura[291] 24−25 Aug 2022 2,000 43.8% 45.3% 10.9% 1.5%
Atlas[292] 20–25 Aug 2022 7,475 40.8% 51.8% 7.4% 11%
Exame/Ideia[293] 19–24 Aug 2022 1,500 40% 49% 11% 9%
BTG/FSB[294] 19–21 Aug 2022 2,000 39% 52% 9% 13%
Datafolha[295] 16–18 Aug 2022 5,744 37% 54% 10% 17%
PoderData[296] 14–16 Aug 2022 3,500 38% 52% 10% 14%
Ipec[59] 12–14 Aug 2022 2,000 35% 51% 14% 16%
FSB Comunicação[60] 12–14 Aug 2022 2,000 38% 53% 10% 15%
Quaest/Genial[297] 11–14 Aug 2022 2,000 38% 51% 11% 13%
FSB Comunicação[62] 5–7 Aug 2022 3,500 39% 51% 10% 12%
PoderData[298] 31 Jul – 2 Aug 2022 3,500 40% 50% 9% 10%
Datafolha[69] 22–24 Jul 2022 2,566 35% 55% 9% 20%
BTG/FSB[70] 22–24 Jul 2022 2,000 36% 54% 9% 18%
Exame/Ideia[73] 15–20 Jul 2022 1,500 37% 47% 11% 10%
PoderData[299] 17–19 Jul 2022 3,000 38% 51% 12% 13%
BTG/FSB[75] 8–10 Jul 2022 2,000 37% 53% 10% 16%
PoderData[300] 3–5 Jul 2022 3,000 38% 50% 12% 12%
Quaest/Genial[77] 29 Jun – 2 Jul 2022 2,000 34% 53% 13% 19%
BTG/FSB[78] 24–26 Jun 2022 2,000 37% 52% 10% 15%
Datafolha[80] 22–23 Jun 2022 2,556 34% 57% 9% 23%
Exame/Ideia[81] 17–22 Jun 2022 1,500 41% 48% 10% 7%
PoderData[82] 19–21 Jun 2022 3,000 35% 52% 13% 17%
BTG/FSB[83] 10–12 Jun 2022 2,000 36% 54% 8% 18%
PoderData[301] 05–07 Jun 2022 3,000 40% 50% 10% 10%
Quaest/Genial[85] 02–05 Jun 2022 2,000 32% 54% 12% 22%
XP/Ipespe[87] 30 May – 1 Jun 2022 1,000 35% 53% 12% 18%
Paraná Pesquisas[88] 26–30 May 2022 2,020 39.2% 47.3% 13.5% 8.1%
BTG/FSB[89] 27–29 May 2022 2,000 35% 54% 11% 19%
Datafolha[90] 25–26 May 2022 2,556 33% 58% 9% 25%
XP/Ipespe[91] 23–25 May 2022 1,000 35% 53% 12% 18%
PoderData[93] 22–24 May 2022 3,000 39% 50% 11% 11%
Modalmais/Futura[96] 16–19 May 2022 2,000 40.1% 49% 10.9% 8.9%
Exame/Ideia 14–19 May 2022 1,500 39% 46% 15% 7%
XP/Ipespe[98] 17–18 May 2022 1,000 34% 53% 13% 19%
XP/Ipespe[99] 9–11 May 2022 1,000 35% 54% 10% 19%
PoderData[100] 8–10 May 2022 3,000 38% 49% 13% 11%
Quaest/Genial[101] 5–8 May 2022 2,000 34% 54% 11% 20%
CNT/MDA[104] 4–7 May 2022 2,002 36.8% 50.8% 12.4% 14%
XP/Ipespe[105] 2–4 May 2022 1,000 34% 54% 12% 20%
Paraná Pesquisas[106] 28–3 May 2022 2,020 38.7% 46.4% 15% 7.7%
PoderData[302] 24–26 Apr 2022 3,000 39% 48% 13% 9%
BTG/FSB[108] 22–24 Apr 2022 2,000 37% 52% 10% 15%
XP/Ipespe[109] 18–20 Apr 2022 1,000 34% 54% 12% 20%
Exame/Ideia[110] 15–20 Apr 2022 1,500 39% 48% 13% 9%
PoderData[303] 10–12 Apr 2022 3,000 38% 47% 15% 9%
XP/Ipespe[114] 2–5 Apr 2022 1,000 33% 53% 14% 20%
Paraná Pesquisas[115] 31–5 Apr 2022 2,020 38.5% 47.1% 14.4% 8.6%
Quaest/Genial[116] 1–3 Apr 2022 2,000 34% 55% 11% 21%
PoderData[119] 27–29 Mar 2022 3,000 38% 50% 12% 12%
Futura/Modalmais[120] 21–25 Mar 2022 2,000 41.6% 48.6% 9.8% 7%
Datafolha[304] 22–23 Mar 2022 2,556 34% 55% 11% 21%
Exame/Ideia[123] 18–23 Mar 2022 1,500 37% 50% 13% 13%
FSB[124] 18–20 Mar 2022 2,000 35% 54% 11% 19%
PoderData[125] 13–15 Mar 2022 3,000 36% 50% 14% 14%
Quaest/Genial[126] 10–13 Mar 2022 2,000 32% 54% 13% 22%
Ranking Brasil[127] 7–12 Mar 2022 3,000 38.3% 45% 16.7% 6.7%
XP/Ipespe[136] 7–9 Mar 2022 1,000 33% 53% 14% 20%
Paraná Pesquisas[130] 3–8 Mar 2022 2,020 37.3% 46% 16.7% 8.7%
PoderData[305] 27–1 Mar 2022 3,000 37% 51% 11% 14%
Ipespe[132] 21–23 Feb 2022 1,000 32% 54% 14% 22%
Exame/Ideia[133] 18–22 Feb 2022 1,500 35% 49% 16% 14%
CNT/MDA[134] 16–19 Feb 2022 2,002 35.3% 53.2% 17.9% 17.9%
Futura/Modalmais[120] 14–17 Feb 2022 2,000 40.1% 48% 11.9% 7.9%
PoderData[135] 13–15 Feb 2022 3,000 35% 50% 15% 15%
XP/Ipespe[136] 7–9 Feb 2022 1,000 31% 54% 15% 23%
Quaest/Genial[137] 3–6 Feb 2022 2,000 30% 54% 16% 24%
Paraná Pesquisas[138] 27–1 Feb 2022 2,020 34.4% 48.8% 16.8% 14.4%
PoderData[139] 31–1 Feb 2022 3,000 37% 54% 9% 17%
XP/Ipespe[140] 24–25 Jan 2022 1,000 30% 54% 16% 24%
Futura/Modalmais[141] 17–21 Jan 2022 2,000 37.8% 50.4% 11.8% 12.6%
PoderData[142] 16–18 Jan 2022 3,000 32% 54% 14% 22%
Exame/Ideia[143] 9–13 Jan 2022 1,500 33% 49% 18% 16%
XP/Ipespe[144] 10–12 Jan 2022 1,000 31% 56% 13% 25%
Quaest/Genial[145] 6–9 Jan 2022 2,000 30% 54% 16% 24%
PoderData[146] 19–21 Dec 2021 3,000 34% 54% 12% 20%
Ipespe[147] 14–16 Dec 2021 1,000 31% 53% 16% 22%
Ipespe[157] 22–24 Nov 2021 1,000 32% 52% 16% 20%
PoderData[158] 22–24 Nov 2021 2,500 31% 54% 15% 23%
Paraná Pesquisas[160] 16–19 Nov 2021 2,020 35.6% 42.5% 21.9% 6.9%
Ponteio Política[161] 16–18 Nov 2021 1,000 32% 50% 18% 18%
Exame/Ideia[162] 9–11 Nov 2021 1,200 31% 48% 21% 17%
Quaest/Genial[163] 3–6 Nov 2021 2,063 27% 57% 13% 30%
XP/Ipespe[306] 25–28 Oct 2021 1,000 32% 50% 18% 18%
PoderData[166] 25–27 Oct 2021 2,500 37% 52% 11% 15%
PoderData[170] 27–29 Sep 2021 2,500 33% 56% 11% 23%
Datatempo[173] 9–15 Sep 2021 2,025 30.1% 53.1% 16.8% 23%
Datafolha[174] 13–15 Sep 2021 3,667 31% 56% 14% 25%
PoderData[176] 30–1 Sep 2021 2,500 30% 55% 15% 25%
Quaest/Genial[177] 26–29 Aug 2021 2,000 30% 55% 15% 25%
XP/Ipespe[178] 11–14 Aug 2021 1,000 32% 51% 17% 19%
PoderData[179] 2–4 Aug 2021 2,500 32% 52% 16% 20%
XP/Ipespe[183] 5–7 Jul 2021 1,000 35% 49% 17% 14%

Other

2021
Publisher/Pollster Polling
period		 Sample
size		 Template:Img
Indep.		 Template:Img
PT		 Template:Img
PT		 Template:Img
PDT		 Template:Img
PSOL		 Template:Img
PSDB		 [[Image:|x80px]]
Moro
PODE		 Template:Img
Indep.		 Others Blank/Null/
Undec.		 Lead
Datafolha[182] 7–8 Jul 2,074 31% 58% N/A N/A N/A N/A N/A N/A N/A 11% 27%
N/A 56% N/A N/A N/A 22% N/A N/A N/A 21% 34%
Vox Populi[188] 12–16 May 2,000 28% 55% N/A N/A N/A N/A N/A N/A N/A 17% 27%
N/A 52% N/A 19% N/A N/A N/A N/A N/A 29% 33%
N/A 56% N/A N/A N/A 14% N/A N/A N/A 30% 42%
Datafolha[189] 11–12 May 2,071 32% 55% N/A N/A N/A N/A N/A N/A N/A 13% 23%
N/A 53% N/A N/A N/A N/A 33% N/A N/A 14% 20%
N/A 57% N/A N/A N/A N/A N/A 21% N/A 22% 36%
36% N/A N/A 48% N/A N/A N/A N/A N/A 17% 12%
39% N/A N/A N/A N/A 40% N/A N/A N/A 22% 1%
Exame/Ideia[190] 19–22 Apr 1,200 38% 40% N/A N/A N/A N/A N/A N/A N/A 23% 2%
PoderData[191] 12–14 Apr 3,500
34% 52% N/A N/A N/A N/A N/A N/A N/A 14% 18%
35% N/A N/A N/A N/A N/A N/A 48% N/A 17% 13%
38% N/A N/A N/A N/A 37% N/A N/A N/A 25% 1%
38% N/A N/A N/A N/A N/A 37% N/A N/A 25% 1%
38% N/A N/A 38% N/A N/A N/A N/A N/A 24% Tie
XP/Ipespe[192] 29–31 Mar 1,000
38% 41% N/A N/A N/A N/A N/A N/A N/A 20% 4%
30% N/A N/A N/A N/A N/A 30% N/A N/A 40% Tie
38% N/A N/A 38% N/A N/A N/A N/A N/A 33% Tie
35% N/A N/A N/A N/A N/A N/A 32% N/A 33% 3%
38% N/A N/A N/A 30% N/A N/A N/A N/A 32% 8%
37% N/A N/A N/A N/A 30% N/A N/A N/A 33% 7%
N/A 41% N/A N/A N/A N/A 36% N/A N/A 23% 5%
PoderData[193] 15–17 Mar 3,500 36% 41% N/A N/A N/A N/A N/A N/A N/A 23% 5%
34% N/A N/A 39% N/A N/A N/A N/A N/A 27% 5%
37% N/A N/A N/A N/A N/A N/A 40% N/A 23% 3%
41% N/A N/A N/A N/A 31% N/A N/A N/A 28% 10%
38% N/A N/A N/A N/A N/A 31% N/A N/A 31% 7%
Revista Fórum/Offerwise[194] 11–15 Mar 1,000 33.8% 38.0% N/A N/A N/A N/A N/A N/A N/A 28.3% 4.2%
N/A 33.6% N/A 16.7% N/A N/A N/A N/A N/A 49.6% 16.9%
N/A 36.9% N/A N/A N/A 13.4% N/A N/A N/A 49.8% 23.5%
N/A 35.4% N/A N/A N/A N/A N/A 17.4% N/A 47.2% 18.0%
N/A 35.7% N/A N/A N/A N/A 24.5% N/A N/A 39.8% 11.2%
XP/Ipespe[195] 9–11 Mar 1,000 41% 40% N/A N/A N/A N/A N/A N/A N/A 19% 1%
40% N/A 36% N/A N/A N/A N/A N/A N/A 24% 4%
31% N/A N/A N/A N/A N/A 34% N/A N/A 35% 3%
37% N/A N/A N/A N/A N/A N/A 32% N/A 30% 5%
39% N/A N/A 37% N/A N/A N/A N/A N/A 25% 2%
40% N/A N/A N/A 30% N/A N/A N/A N/A 30% 10%
39% N/A N/A N/A N/A 29% N/A N/A N/A 32% 10%
N/A N/A 30% N/A N/A N/A 40% N/A N/A 30% 10%
Exame/Ideia[196] 10–11 Mar 1,000 44% 37% N/A N/A N/A N/A N/A N/A N/A 19% 7%
45% N/A N/A 34% N/A N/A N/A N/A N/A 21% 11%
47% N/A N/A N/A N/A 26% N/A N/A N/A 26% 21%
46% N/A N/A N/A N/A N/A N/A 37% N/A 17% 9%
Atlas[197] N/A 3,721 36.9% N/A N/A N/A N/A N/A N/A N/A 46.6%[lower-alpha 11] 16.5% 9.7%
37.5% N/A N/A 44.7% N/A N/A N/A N/A N/A 17.8% 7.2%
38.8% 44.9% N/A N/A N/A N/A N/A N/A N/A 16.3% 6.1%
39.4% N/A 43.0% N/A N/A N/A N/A N/A N/A 17.6% 3.6%
39.8% N/A N/A N/A N/A 39.3% N/A N/A N/A 20.9% 0.5%
37.1% N/A N/A N/A N/A N/A N/A N/A N/A 26.8% 1.0%
34.3% N/A N/A N/A N/A N/A 33.1% N/A N/A 32.6% 1.2%
37.3% N/A N/A N/A N/A N/A N/A 32.5% N/A 30.2% 4.8%
CNN Brasil/Real Time Big Data[198] 8–9 Mar 1,200 43% 39% N/A N/A N/A N/A N/A N/A N/A 18% 4%
43% N/A N/A 36% N/A N/A N/A N/A N/A 21% 7%
41% N/A N/A N/A N/A N/A 38% N/A N/A 21% 3%
46% N/A N/A N/A N/A N/A N/A 31% N/A 23% 15%
Exame/Ideia[201] 24−28 Jan 1,200 45% 28% N/A N/A N/A N/A N/A N/A N/A 26% 17%
41% N/A N/A 34% N/A N/A N/A N/A N/A 26% 7%
45% N/A N/A N/A N/A 30% N/A N/A N/A 24% 15%
41% N/A N/A N/A N/A N/A N/A 38% N/A 21% 3%
Paraná Pesquisas[202] 22−26 Jan 2,002 42.4% 35.7% N/A N/A N/A N/A N/A N/A N/A 21.9% 6.7%
39.1% N/A N/A N/A N/A N/A 37.6% N/A N/A 23.3% 1.5%
43.7% N/A N/A 34.3% N/A N/A N/A N/A N/A 22.1% 9.4%
44.9% N/A N/A N/A N/A 29.4% N/A N/A N/A 25.8% 15.5%
42.7% N/A N/A N/A N/A N/A N/A 33.2% N/A 24.1% 9.5%
XP/Ipespe[204] 11−14 Jan 1,000 38% N/A N/A N/A N/A N/A N/A 34% N/A 28% 4%
33% N/A N/A N/A N/A N/A 36% N/A N/A 31% 3%
40% N/A N/A 37% N/A N/A N/A N/A N/A 23% 3%
44% N/A N/A N/A 31% N/A N/A N/A N/A 25% 13%
42% N/A 37% N/A N/A N/A N/A N/A N/A 22% 5%
N/A N/A 30% N/A N/A N/A 43% N/A N/A 28% 13%
2020
Publisher/Pollster Polling
period		 Sample
size		 Template:Img
Indep.		 Template:Img
PT		 Template:Img
PT		 Template:Img
PDT		 Template:Img
PSOL		 Template:Img
PSDB		 [[Image:|x80px]]
Moro
PODE		 Template:Img
Indep.		 Others Blank/Null/
Undec.		 Lead
PoderData[205] 21−23 Dec 2,500 44% N/A N/A N/A N/A N/A N/A 38% N/A 18% 6%
43% N/A N/A N/A N/A N/A 36% N/A N/A 21% 7%
44% N/A N/A 35% N/A N/A N/A N/A N/A 21% 9%
46% N/A N/A N/A 34% N/A N/A N/A N/A 20% 12%
48% N/A 35% N/A N/A N/A N/A N/A N/A 17% 13%
46% N/A N/A N/A N/A 31% N/A N/A N/A 23% 15%
XP/Ipespe[206] 7−9 Dec 1,000 36% N/A N/A N/A N/A N/A 34% N/A N/A 30% 2%
45% N/A 35% N/A N/A N/A N/A N/A N/A 21% 10%
40% N/A N/A N/A N/A N/A N/A 33% N/A 27% 7%
43% N/A N/A 36% N/A N/A N/A N/A N/A 22% 7%
47% N/A N/A N/A 31% N/A N/A N/A N/A 22% 16%
N/A N/A 27% N/A N/A N/A 46% N/A N/A 28% 19%
Exame/Ideia[207] 30 Nov − 3 Dec 1,200 37% 32% N/A N/A N/A N/A N/A N/A N/A 31% 5%
44% N/A N/A N/A N/A N/A 29% N/A N/A 27% 15%
38% N/A N/A N/A N/A 22% N/A N/A N/A 40% 16%
37% N/A N/A 36% N/A N/A N/A N/A N/A 27% 1%
36% N/A N/A N/A N/A N/A N/A 32% N/A 32% 4%
Paraná Pesquisas[208] 28 Nov − 1 Dec 2,036 47% 33.4% N/A N/A N/A N/A N/A N/A N/A 19.7% 13.6%
44.9% N/A N/A N/A N/A N/A 34.7% N/A N/A 20.5% 10.2%
48.5% N/A N/A 31% N/A N/A N/A N/A N/A 20.6% 17.5%
51.1% N/A N/A N/A N/A 23.8% N/A N/A N/A 25.1% 27.3%
48.6% N/A N/A N/A N/A N/A N/A 29.7% N/A 21.7% 18.9%
XP/Ipespe[206] 18−20 Nov 1.000 33% N/A N/A N/A N/A N/A 38% N/A N/A 28% 5%
43% N/A 37% N/A N/A N/A N/A N/A N/A 20% 6%
N/A N/A 25% N/A N/A N/A 46% N/A N/A 29% 21%
40% N/A N/A N/A N/A N/A N/A 33% N/A 27% 7%
42% N/A N/A 39% N/A N/A N/A N/A N/A 19% 3%
45% N/A N/A N/A 31% N/A N/A N/A N/A 24% 14%
XP/Ipespe[209] 8−11 Oct 1,000 42% N/A N/A N/A N/A N/A N/A N/A 30%[lower-alpha 12] 28% 12%
43% N/A N/A 35% N/A N/A N/A N/A N/A 22% 8%
42% N/A N/A N/A N/A N/A N/A 28% N/A 30% 14%
43% N/A 35% N/A N/A N/A N/A N/A N/A 22% 8%
35% N/A N/A N/A N/A N/A 36% N/A N/A 29% 1%
N/A N/A 26% N/A N/A N/A 43% N/A N/A 31% 17%
Exame/Ideia[210] 5−8 Oct 1,200 43% 33% N/A N/A N/A N/A N/A N/A N/A 25% 10%
42% N/A N/A N/A N/A 21% N/A N/A N/A 38% 21%
41% N/A N/A N/A N/A N/A 35% N/A N/A 25% 6%
PoderData[211] 14−16 Sep 2,500 45% N/A N/A N/A N/A 32% N/A N/A N/A 23% 13%
48% N/A N/A 33% N/A N/A N/A N/A N/A 19% 15%
40% N/A N/A N/A N/A N/A 37% N/A N/A 23% 3%
45% N/A 38% N/A N/A N/A N/A N/A N/A 17% 7%
41% 41% N/A N/A N/A N/A N/A N/A N/A 18% Tie
Exame/Ideia[212] 24−31 Aug 1,235 42% 31% N/A N/A N/A N/A N/A N/A N/A 27% 11%
41% N/A N/A N/A N/A 17% N/A N/A N/A 42% 24%
38% N/A N/A N/A N/A N/A 31% N/A N/A 31% 7%
PoderData[307] 3–5 Aug 2,500 44% N/A N/A N/A N/A 30% N/A N/A N/A 26% 14%
42% N/A 34% N/A N/A N/A N/A N/A N/A 24% 8%
41% N/A N/A N/A N/A N/A 41% N/A N/A 18% Tie
Paraná Pesquisas[215] 18–21 Jul 2,030 46.6% N/A 32% N/A N/A N/A N/A N/A N/A 21.4% 14.6%
44.7% N/A N/A N/A N/A N/A 35% N/A N/A 20.2% 9.7%
45.6% 36.4% N/A N/A N/A N/A N/A N/A N/A 18% 9.2%
48.1% N/A N/A 31.1% N/A N/A N/A N/A N/A 20.9% 17%
51.7% N/A N/A N/A N/A 23% N/A N/A N/A 25.4% 28.7%
50.8% N/A N/A N/A N/A N/A N/A 27.6% N/A 21.6% 23.2%
Veja/FSB[218] 7–10 Feb 2,000 51% N/A 33% N/A N/A N/A N/A N/A N/A 16% 18%
50% N/A N/A N/A N/A 25% N/A N/A N/A 26% 25%
45% N/A N/A N/A N/A N/A N/A 37% N/A 17% 8%
48% 40% N/A N/A N/A N/A N/A N/A N/A 11% 8%
37% N/A N/A N/A N/A N/A 39% N/A N/A 25% 2%
N/A N/A 30% N/A N/A N/A 53% N/A N/A 17% 23%
N/A 40% N/A N/A N/A N/A 49% N/A N/A 12% 9%
N/A N/A 30% N/A N/A N/A N/A 37% N/A 34% 7%
N/A N/A N/A N/A N/A N/A 51% 32% N/A 16% 19%
2018 general election 28 Oct N/A 55.13% N/A 44.87% N/A N/A N/A N/A N/A N/A 10.26%
2019
Publisher/Pollster Polling
period		 Sample
size		 Template:Img
Indep.		 Template:Img
PT		 Template:Img
PT		 Template:Img
PSDB		 [[Image:|x80px]]
Moro
PODE		 Template:Img
Indep.		 Others Blank/Null/
Undec.		 Lead
Quaest[308] 26–27 Dec 1,000 46% 32% N/A N/A N/A N/A N/A 22% 14%
Veja/FSB[221] 11 Nov – 2 Dec 2,000 45% 40% N/A N/A N/A N/A N/A 16% 5%
47% N/A 32% N/A N/A N/A N/A 21% 15%
45% N/A N/A 26% N/A N/A N/A 28% 19%
44% N/A N/A N/A N/A 36% N/A 19% 8%
36% N/A N/A N/A 36% N/A N/A 28% Tie
N/A N/A 29% N/A 52% N/A N/A 18% 23%
N/A 39% N/A N/A 48% N/A N/A 12% 9%
N/A N/A N/A N/A 50% 31% N/A 18% 19%
N/A N/A 29% N/A N/A 39% N/A 33% 10%
Veja/FSB[222] 11–14 Oct 2,000 47% N/A 34% N/A N/A N/A N/A 20% 13%
46% N/A N/A 26% N/A N/A N/A 29% 20%
46% 38% N/A N/A N/A N/A N/A 17% 8%
43% N/A N/A N/A N/A 39% N/A 19% 7%
Veja/FSB[223] 16–18 Aug 2,000 48% N/A 35% N/A N/A N/A N/A 18% 13%
45% N/A N/A 29% N/A N/A N/A 23% 16%
N/A N/A 37% 33% N/A N/A N/A 31% 4%
2018 general election 28 Oct N/A 55.13% N/A 44.87% N/A N/A N/A N/A N/A 10.26%

See also

Notes

  1. ↑ 1.0 1.1 1.2 1.3 This column presents the sum of candidates who do not reach 3% frequently.
  2. ↑ TV presenter José Luiz Datena withdrew candidacy in November 2021, to run for a Senate seat.[151] Polls with his name are now added to the column "Others".
  3. ↑ Luiz Henrique Mandetta (DEM) with 2%
  4. ↑ Luiz Henrique Mandetta (DEM) with 3%; Danilo Gentili with 2%
  5. ↑ Luiz Henrique Mandetta (DEM) with 2%
  6. ↑ Luiz Henrique Mandetta (DEM) with 3%
  7. ↑ Luiz Henrique Mandetta (DEM) with 2%
  8. ↑ Luiz Henrique Mandetta (DEM) with 2%
  9. ↑ Luiz Henrique Mandetta (DEM) with 3%
  10. ↑ The lead is smaller than the difference between the displayed values of 48.6% and 46.8%, which is 1.8%, due to rounding.
  11. ↑ Luiz Henrique Mandetta (DEM) with 46.6%
  12. ↑ Luiz Henrique Mandetta (DEM) with 30%

References

  1. ↑ 1.0 1.1 1.2 1.3 Lua error in package.lua at line 80: module 'strict' not found.
  2. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  3. ↑ 3.0 3.1 Lua error in package.lua at line 80: module 'strict' not found.
  4. ↑ 4.0 4.1 Lua error in package.lua at line 80: module 'strict' not found.
  5. ↑ 5.0 5.1 Lua error in package.lua at line 80: module 'strict' not found.
  6. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  7. ↑ 7.0 7.1 Lua error in package.lua at line 80: module 'strict' not found.
  8. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  9. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  10. ↑ 10.0 10.1 Lua error in package.lua at line 80: module 'strict' not found.
  11. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  12. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  13. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  14. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  15. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  16. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  17. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  18. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  19. ↑ 19.0 19.1 Lua error in package.lua at line 80: module 'strict' not found.
  20. ↑ 20.0 20.1 Lua error in package.lua at line 80: module 'strict' not found.
  21. ↑ 21.0 21.1 Lua error in package.lua at line 80: module 'strict' not found.
  22. ↑ 22.0 22.1 Lua error in package.lua at line 80: module 'strict' not found.
  23. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  24. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  25. ↑ 25.0 25.1 Lua error in package.lua at line 80: module 'strict' not found.
  26. ↑ 26.0 26.1 Lua error in package.lua at line 80: module 'strict' not found.
  27. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  28. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  29. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  30. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  31. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  32. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  33. ↑ 33.0 33.1 Lua error in package.lua at line 80: module 'strict' not found.
  34. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  35. ↑ 35.0 35.1 Lua error in package.lua at line 80: module 'strict' not found.
  36. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  37. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  38. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  39. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  40. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  41. ↑ 41.0 41.1 Lua error in package.lua at line 80: module 'strict' not found.
  42. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  43. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  44. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  45. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  46. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  47. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  48. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  49. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  50. ↑ 50.0 50.1 Lua error in package.lua at line 80: module 'strict' not found.
  51. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  52. ↑ 52.0 52.1 Lua error in package.lua at line 80: module 'strict' not found.
  53. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  54. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  55. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  56. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  57. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  58. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  59. ↑ 59.0 59.1 Lua error in package.lua at line 80: module 'strict' not found.
  60. ↑ 60.0 60.1 Lua error in package.lua at line 80: module 'strict' not found.
  61. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  62. ↑ 62.0 62.1 Lua error in package.lua at line 80: module 'strict' not found.
  63. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  64. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  65. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  66. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  67. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  68. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  69. ↑ 69.0 69.1 Lua error in package.lua at line 80: module 'strict' not found.
  70. ↑ 70.0 70.1 Lua error in package.lua at line 80: module 'strict' not found.
  71. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  72. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  73. ↑ 73.0 73.1 Lua error in package.lua at line 80: module 'strict' not found.
  74. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  75. ↑ 75.0 75.1 Lua error in package.lua at line 80: module 'strict' not found.
  76. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  77. ↑ 77.0 77.1 Lua error in package.lua at line 80: module 'strict' not found.
  78. ↑ 78.0 78.1 Lua error in package.lua at line 80: module 'strict' not found.
  79. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  80. ↑ 80.0 80.1 Lua error in package.lua at line 80: module 'strict' not found.
  81. ↑ 81.0 81.1 Lua error in package.lua at line 80: module 'strict' not found.
  82. ↑ 82.0 82.1 Lua error in package.lua at line 80: module 'strict' not found.
  83. ↑ 83.0 83.1 Lua error in package.lua at line 80: module 'strict' not found.
  84. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  85. ↑ 85.0 85.1 Lua error in package.lua at line 80: module 'strict' not found.
  86. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  87. ↑ 87.0 87.1 Lua error in package.lua at line 80: module 'strict' not found.
  88. ↑ 88.0 88.1 Lua error in package.lua at line 80: module 'strict' not found.
  89. ↑ 89.0 89.1 Lua error in package.lua at line 80: module 'strict' not found.
  90. ↑ 90.0 90.1 Lua error in package.lua at line 80: module 'strict' not found.
  91. ↑ 91.0 91.1 Lua error in package.lua at line 80: module 'strict' not found.
  92. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  93. ↑ 93.0 93.1 Lua error in package.lua at line 80: module 'strict' not found.
  94. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  95. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  96. ↑ 96.0 96.1 Lua error in package.lua at line 80: module 'strict' not found.
  97. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  98. ↑ 98.0 98.1 Lua error in package.lua at line 80: module 'strict' not found.
  99. ↑ 99.0 99.1 Lua error in package.lua at line 80: module 'strict' not found.
  100. ↑ 100.0 100.1 Lua error in package.lua at line 80: module 'strict' not found.
  101. ↑ 101.0 101.1 Lua error in package.lua at line 80: module 'strict' not found.
  102. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  103. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  104. ↑ 104.0 104.1 Lua error in package.lua at line 80: module 'strict' not found.
  105. ↑ 105.0 105.1 Lua error in package.lua at line 80: module 'strict' not found.
  106. ↑ 106.0 106.1 Lua error in package.lua at line 80: module 'strict' not found.
  107. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  108. ↑ 108.0 108.1 Lua error in package.lua at line 80: module 'strict' not found.
  109. ↑ 109.0 109.1 Lua error in package.lua at line 80: module 'strict' not found.
  110. ↑ 110.0 110.1 Lua error in package.lua at line 80: module 'strict' not found.
  111. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  112. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  113. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  114. ↑ 114.0 114.1 Lua error in package.lua at line 80: module 'strict' not found.
  115. ↑ 115.0 115.1 Lua error in package.lua at line 80: module 'strict' not found.
  116. ↑ 116.0 116.1 Lua error in package.lua at line 80: module 'strict' not found.
  117. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  118. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  119. ↑ 119.0 119.1 Lua error in package.lua at line 80: module 'strict' not found.
  120. ↑ 120.0 120.1 120.2 120.3 Lua error in package.lua at line 80: module 'strict' not found.
  121. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  122. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  123. ↑ 123.0 123.1 Lua error in package.lua at line 80: module 'strict' not found.
  124. ↑ 124.0 124.1 Lua error in package.lua at line 80: module 'strict' not found.
  125. ↑ 125.0 125.1 Lua error in package.lua at line 80: module 'strict' not found.
  126. ↑ 126.0 126.1 126.2 Lua error in package.lua at line 80: module 'strict' not found.
  127. ↑ 127.0 127.1 Lua error in package.lua at line 80: module 'strict' not found.
  128. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  129. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  130. ↑ 130.0 130.1 Lua error in package.lua at line 80: module 'strict' not found.
  131. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  132. ↑ 132.0 132.1 Lua error in package.lua at line 80: module 'strict' not found.
  133. ↑ 133.0 133.1 Lua error in package.lua at line 80: module 'strict' not found.
  134. ↑ 134.0 134.1 Lua error in package.lua at line 80: module 'strict' not found.
  135. ↑ 135.0 135.1 Lua error in package.lua at line 80: module 'strict' not found.
  136. ↑ 136.0 136.1 136.2 Lua error in package.lua at line 80: module 'strict' not found.
  137. ↑ 137.0 137.1 Lua error in package.lua at line 80: module 'strict' not found.
  138. ↑ 138.0 138.1 Lua error in package.lua at line 80: module 'strict' not found.
  139. ↑ 139.0 139.1 Lua error in package.lua at line 80: module 'strict' not found.
  140. ↑ 140.0 140.1 Lua error in package.lua at line 80: module 'strict' not found.
  141. ↑ 141.0 141.1 Lua error in package.lua at line 80: module 'strict' not found.
  142. ↑ 142.0 142.1 Lua error in package.lua at line 80: module 'strict' not found.
  143. ↑ 143.0 143.1 Lua error in package.lua at line 80: module 'strict' not found.
  144. ↑ 144.0 144.1 Lua error in package.lua at line 80: module 'strict' not found.
  145. ↑ 145.0 145.1 Lua error in package.lua at line 80: module 'strict' not found.
  146. ↑ 146.0 146.1 Lua error in package.lua at line 80: module 'strict' not found.
  147. ↑ 147.0 147.1 Lua error in package.lua at line 80: module 'strict' not found.
  148. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  149. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  150. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  151. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  152. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  153. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  154. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  155. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  156. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  157. ↑ 157.0 157.1 Lua error in package.lua at line 80: module 'strict' not found.
  158. ↑ 158.0 158.1 Lua error in package.lua at line 80: module 'strict' not found.
  159. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  160. ↑ 160.0 160.1 Lua error in package.lua at line 80: module 'strict' not found.
  161. ↑ 161.0 161.1 Lua error in package.lua at line 80: module 'strict' not found.
  162. ↑ 162.0 162.1 Lua error in package.lua at line 80: module 'strict' not found.
  163. ↑ 163.0 163.1 Lua error in package.lua at line 80: module 'strict' not found.
  164. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  165. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  166. ↑ 166.0 166.1 Lua error in package.lua at line 80: module 'strict' not found.
  167. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  168. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  169. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  170. ↑ 170.0 170.1 Lua error in package.lua at line 80: module 'strict' not found.
  171. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  172. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  173. ↑ 173.0 173.1 Lua error in package.lua at line 80: module 'strict' not found.
  174. ↑ 174.0 174.1 Lua error in package.lua at line 80: module 'strict' not found.
  175. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  176. ↑ 176.0 176.1 Lua error in package.lua at line 80: module 'strict' not found.
  177. ↑ 177.0 177.1 Lua error in package.lua at line 80: module 'strict' not found.
  178. ↑ 178.0 178.1 Lua error in package.lua at line 80: module 'strict' not found.
  179. ↑ 179.0 179.1 Lua error in package.lua at line 80: module 'strict' not found.
  180. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  181. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  182. ↑ 182.0 182.1 Lua error in package.lua at line 80: module 'strict' not found.
  183. ↑ 183.0 183.1 Lua error in package.lua at line 80: module 'strict' not found.
  184. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  185. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  186. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  187. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  188. ↑ 188.0 188.1 Lua error in package.lua at line 80: module 'strict' not found.
  189. ↑ 189.0 189.1 Lua error in package.lua at line 80: module 'strict' not found.
  190. ↑ 190.0 190.1 Lua error in package.lua at line 80: module 'strict' not found.
  191. ↑ 191.0 191.1 Lua error in package.lua at line 80: module 'strict' not found.
  192. ↑ 192.0 192.1 Lua error in package.lua at line 80: module 'strict' not found.
  193. ↑ 193.0 193.1 Lua error in package.lua at line 80: module 'strict' not found.
  194. ↑ 194.0 194.1 Lua error in package.lua at line 80: module 'strict' not found.
  195. ↑ 195.0 195.1 Lua error in package.lua at line 80: module 'strict' not found.
  196. ↑ 196.0 196.1 Lua error in package.lua at line 80: module 'strict' not found.
  197. ↑ 197.0 197.1 Lua error in package.lua at line 80: module 'strict' not found.
  198. ↑ 198.0 198.1 Lua error in package.lua at line 80: module 'strict' not found.
  199. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  200. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  201. ↑ 201.0 201.1 Lua error in package.lua at line 80: module 'strict' not found.
  202. ↑ 202.0 202.1 Lua error in package.lua at line 80: module 'strict' not found.
  203. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  204. ↑ 204.0 204.1 Lua error in package.lua at line 80: module 'strict' not found.
  205. ↑ 205.0 205.1 Lua error in package.lua at line 80: module 'strict' not found.
  206. ↑ 206.0 206.1 206.2 206.3 Lua error in package.lua at line 80: module 'strict' not found.
  207. ↑ 207.0 207.1 Lua error in package.lua at line 80: module 'strict' not found.
  208. ↑ 208.0 208.1 Lua error in package.lua at line 80: module 'strict' not found.
  209. ↑ 209.0 209.1 Lua error in package.lua at line 80: module 'strict' not found.
  210. ↑ 210.0 210.1 Lua error in package.lua at line 80: module 'strict' not found.
  211. ↑ 211.0 211.1 Lua error in package.lua at line 80: module 'strict' not found.
  212. ↑ 212.0 212.1 Lua error in package.lua at line 80: module 'strict' not found.
  213. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  214. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  215. ↑ 215.0 215.1 Lua error in package.lua at line 80: module 'strict' not found.
  216. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  217. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  218. ↑ 218.0 218.1 Lua error in package.lua at line 80: module 'strict' not found.
  219. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  220. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  221. ↑ 221.0 221.1 Lua error in package.lua at line 80: module 'strict' not found.
  222. ↑ 222.0 222.1 Lua error in package.lua at line 80: module 'strict' not found.
  223. ↑ 223.0 223.1 Lua error in package.lua at line 80: module 'strict' not found.
  224. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  225. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  226. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  227. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  228. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  229. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  230. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  231. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  232. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  233. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  234. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  235. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  236. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  237. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  238. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  239. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  240. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  241. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  242. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  243. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  244. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  245. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  246. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  247. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  248. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  249. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  250. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  251. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  252. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  253. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  254. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  255. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  256. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  257. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  258. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  259. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  260. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  261. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  262. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  263. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  264. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  265. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  266. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  267. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  268. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  269. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  270. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  271. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  272. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  273. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  274. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  275. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  276. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  277. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  278. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  279. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  280. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  281. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  282. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  283. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  284. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  285. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  286. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  287. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  288. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  289. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  290. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  291. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  292. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  293. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  294. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  295. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  296. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  297. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  298. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  299. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  300. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  301. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  302. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  303. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  304. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  305. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  306. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  307. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  308. ↑ Lua error in package.lua at line 80: module 'strict' not found.
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