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v3numericcomputerealmain
benchmark/strong_v3/packs/v3-munich-table-analysis.json · 47 test and 19 development questions. Only test questions are sent to models in the benchmark runs.
test
munich-decrease-2015-2017
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2015,2016,2017
01 Altstadt - Lehel,345.5,343.9,351.3
02 Ludwigsvorstadt - Isarvorstadt,243.2,240.8,257.1
03 Maxvorstadt,261.8,262.8,275.3
04 Schwabing - West,295.0,293.2,298.1
05 Au - Haidhausen,269.3,269.6,275.7
06 Sendling,296.8,298.9,301.8
07 Sendling - Westpark,325.7,327.4,330.9
08 Schwanthalerhöhe,246.5,249.8,255.9
09 Neuhausen - Nymphenburg,317.2,317.8,320.9
10 Moosach,347.9,347.1,351.6
11 Milbertshofen - Am Hart,275.4,276.0,283.4
12 Schwabing - Freimann,316.7,316.1,323.4
13 Bogenhausen,404.1,402.3,411.1
14 Berg am Laim,318.3,322.4,327.5
15 Trudering - Riem,409.6,408.5,413.0
16 Ramersdorf - Perlach,337.0,336.8,340.8
17 Obergiesing - Fasangarten,286.0,289.5,297.3
18 Untergiesing - Harlaching,343.1,342.8,355.5
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,389.0,383.2,388.4
20 Hadern,361.8,362.6,369.9
21 Pasing - Obermenzing,383.9,386.2,392.3
22 Aubing - Lochhausen - Langwied,390.2,385.9,387.2
23 Allach - Untermenzing,450.7,451.0,448.3
24 Feldmoching - Hasenbergl,353.3,357.7,366.5
25 Laim,321.5,319.9,321.4
Which district had the largest decrease in the rate from 2015 to 2017, and what was that change (2017 minus 2015, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -3.0, "district": "22 Aubing - Lochhausen - Langwied"}| Model | Answer given | |
|---|---|---|
| Gemma 4 | {"district": "23 Allach - Untermenzing", "change": -2.4} | ✗ wrong |
| Llama 3.3 | {"district": "Allach - Untermenzing", "change": -2.4} | ✗ wrong |
| Qwen · off | {"district": "19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln", "change": -0.6} | ✗ wrong |
| Qwen · on | {"district": "Aubing - Lochhausen - Langwied", "change": -3.0} | ✗ wrong |
test
munich-decrease-2015-2018
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2015,2016,2017,2018
01 Altstadt - Lehel,345.5,343.9,351.3,353.1
02 Ludwigsvorstadt - Isarvorstadt,243.2,240.8,257.1,257.5
03 Maxvorstadt,261.8,262.8,275.3,273.4
04 Schwabing - West,295.0,293.2,298.1,297.8
05 Au - Haidhausen,269.3,269.6,275.7,275.0
06 Sendling,296.8,298.9,301.8,298.3
07 Sendling - Westpark,325.7,327.4,330.9,331.1
08 Schwanthalerhöhe,246.5,249.8,255.9,256.9
09 Neuhausen - Nymphenburg,317.2,317.8,320.9,321.5
10 Moosach,347.9,347.1,351.6,350.7
11 Milbertshofen - Am Hart,275.4,276.0,283.4,283.7
12 Schwabing - Freimann,316.7,316.1,323.4,322.1
13 Bogenhausen,404.1,402.3,411.1,405.2
14 Berg am Laim,318.3,322.4,327.5,323.2
15 Trudering - Riem,409.6,408.5,413.0,411.9
16 Ramersdorf - Perlach,337.0,336.8,340.8,339.2
17 Obergiesing - Fasangarten,286.0,289.5,297.3,296.1
18 Untergiesing - Harlaching,343.1,342.8,355.5,353.8
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,389.0,383.2,388.4,388.4
20 Hadern,361.8,362.6,369.9,370.5
21 Pasing - Obermenzing,383.9,386.2,392.3,394.0
22 Aubing - Lochhausen - Langwied,390.2,385.9,387.2,384.2
23 Allach - Untermenzing,450.7,451.0,448.3,447.8
24 Feldmoching - Hasenbergl,353.3,357.7,366.5,365.8
25 Laim,321.5,319.9,321.4,321.8
Which district had the largest decrease in the rate from 2015 to 2018, and what was that change (2018 minus 2015, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -6.0, "district": "22 Aubing - Lochhausen - Langwied"}| Model | Answer given | |
|---|---|---|
| Gemma 4 | {"district": "Aubing - Lochhausen - Langwied", "change": -6.0} | ✗ wrong |
| Llama 3.3 | {"district": "Allach - Untermenzing", "change": -2.9} | ✗ wrong |
| Qwen · off | {"district": "19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln", "change": -0.6} | ✗ wrong |
| Qwen · on | {"district": "22 Aubing - Lochhausen - Langwied", "change": -6.0} | ✓ correct |
test
munich-decrease-2015-2019
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2015,2016,2017,2018,2019
01 Altstadt - Lehel,345.5,343.9,351.3,353.1,348.2
02 Ludwigsvorstadt - Isarvorstadt,243.2,240.8,257.1,257.5,254.8
03 Maxvorstadt,261.8,262.8,275.3,273.4,266.8
04 Schwabing - West,295.0,293.2,298.1,297.8,294.7
05 Au - Haidhausen,269.3,269.6,275.7,275.0,271.4
06 Sendling,296.8,298.9,301.8,298.3,294.4
07 Sendling - Westpark,325.7,327.4,330.9,331.1,330.0
08 Schwanthalerhöhe,246.5,249.8,255.9,256.9,258.1
09 Neuhausen - Nymphenburg,317.2,317.8,320.9,321.5,316.0
10 Moosach,347.9,347.1,351.6,350.7,348.5
11 Milbertshofen - Am Hart,275.4,276.0,283.4,283.7,279.5
12 Schwabing - Freimann,316.7,316.1,323.4,322.1,320.3
13 Bogenhausen,404.1,402.3,411.1,405.2,398.3
14 Berg am Laim,318.3,322.4,327.5,323.2,321.7
15 Trudering - Riem,409.6,408.5,413.0,411.9,412.9
16 Ramersdorf - Perlach,337.0,336.8,340.8,339.2,337.2
17 Obergiesing - Fasangarten,286.0,289.5,297.3,296.1,295.3
18 Untergiesing - Harlaching,343.1,342.8,355.5,353.8,351.8
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,389.0,383.2,388.4,388.4,386.5
20 Hadern,361.8,362.6,369.9,370.5,369.5
21 Pasing - Obermenzing,383.9,386.2,392.3,394.0,388.2
22 Aubing - Lochhausen - Langwied,390.2,385.9,387.2,384.2,382.7
23 Allach - Untermenzing,450.7,451.0,448.3,447.8,440.7
24 Feldmoching - Hasenbergl,353.3,357.7,366.5,365.8,366.4
25 Laim,321.5,319.9,321.4,321.8,317.9
Which district had the largest decrease in the rate from 2015 to 2019, and what was that change (2019 minus 2015, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -10.0, "district": "23 Allach - Untermenzing"}| Model | Answer given | |
|---|---|---|
| Gemma 4 | {"district": "23 Allach - Untermenzing", "change": -10.0} | ✓ correct |
| Llama 3.3 | {"district": "13 Bogenhausen", "change": -5.8} | ✗ wrong |
| Qwen · off | {"district": "23 Allach - Untermenzing", "change": -10.0} | ✓ correct |
| Qwen · on | {"district": "Allach - Untermenzing", "change": -10.0} | ✗ wrong |
development
munich-decrease-2015-2020
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2015,2016,2017,2018,2019,2020
01 Altstadt - Lehel,345.5,343.9,351.3,353.1,348.2,353.1
02 Ludwigsvorstadt - Isarvorstadt,243.2,240.8,257.1,257.5,254.8,260.9
03 Maxvorstadt,261.8,262.8,275.3,273.4,266.8,276.0
04 Schwabing - West,295.0,293.2,298.1,297.8,294.7,300.5
05 Au - Haidhausen,269.3,269.6,275.7,275.0,271.4,275.1
06 Sendling,296.8,298.9,301.8,298.3,294.4,301.9
07 Sendling - Westpark,325.7,327.4,330.9,331.1,330.0,335.5
08 Schwanthalerhöhe,246.5,249.8,255.9,256.9,258.1,266.2
09 Neuhausen - Nymphenburg,317.2,317.8,320.9,321.5,316.0,323.4
10 Moosach,347.9,347.1,351.6,350.7,348.5,354.2
11 Milbertshofen - Am Hart,275.4,276.0,283.4,283.7,279.5,288.2
12 Schwabing - Freimann,316.7,316.1,323.4,322.1,320.3,324.1
13 Bogenhausen,404.1,402.3,411.1,405.2,398.3,397.8
14 Berg am Laim,318.3,322.4,327.5,323.2,321.7,326.0
15 Trudering - Riem,409.6,408.5,413.0,411.9,412.9,416.1
16 Ramersdorf - Perlach,337.0,336.8,340.8,339.2,337.2,343.0
17 Obergiesing - Fasangarten,286.0,289.5,297.3,296.1,295.3,305.0
18 Untergiesing - Harlaching,343.1,342.8,355.5,353.8,351.8,359.9
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,389.0,383.2,388.4,388.4,386.5,391.6
20 Hadern,361.8,362.6,369.9,370.5,369.5,378.8
21 Pasing - Obermenzing,383.9,386.2,392.3,394.0,388.2,390.4
22 Aubing - Lochhausen - Langwied,390.2,385.9,387.2,384.2,382.7,385.1
23 Allach - Untermenzing,450.7,451.0,448.3,447.8,440.7,453.8
24 Feldmoching - Hasenbergl,353.3,357.7,366.5,365.8,366.4,371.5
25 Laim,321.5,319.9,321.4,321.8,317.9,324.8
Which district had the largest decrease in the rate from 2015 to 2020, and what was that change (2020 minus 2015, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -6.3, "district": "13 Bogenhausen"}test
munich-decrease-2015-2021
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2015,2016,2017,2018,2019,2020,2021
01 Altstadt - Lehel,345.5,343.9,351.3,353.1,348.2,353.1,355.3
02 Ludwigsvorstadt - Isarvorstadt,243.2,240.8,257.1,257.5,254.8,260.9,265.2
03 Maxvorstadt,261.8,262.8,275.3,273.4,266.8,276.0,275.2
04 Schwabing - West,295.0,293.2,298.1,297.8,294.7,300.5,303.9
05 Au - Haidhausen,269.3,269.6,275.7,275.0,271.4,275.1,278.6
06 Sendling,296.8,298.9,301.8,298.3,294.4,301.9,304.4
07 Sendling - Westpark,325.7,327.4,330.9,331.1,330.0,335.5,337.0
08 Schwanthalerhöhe,246.5,249.8,255.9,256.9,258.1,266.2,271.4
09 Neuhausen - Nymphenburg,317.2,317.8,320.9,321.5,316.0,323.4,326.0
10 Moosach,347.9,347.1,351.6,350.7,348.5,354.2,353.7
11 Milbertshofen - Am Hart,275.4,276.0,283.4,283.7,279.5,288.2,288.2
12 Schwabing - Freimann,316.7,316.1,323.4,322.1,320.3,324.1,327.5
13 Bogenhausen,404.1,402.3,411.1,405.2,398.3,397.8,397.6
14 Berg am Laim,318.3,322.4,327.5,323.2,321.7,326.0,328.2
15 Trudering - Riem,409.6,408.5,413.0,411.9,412.9,416.1,417.9
16 Ramersdorf - Perlach,337.0,336.8,340.8,339.2,337.2,343.0,343.7
17 Obergiesing - Fasangarten,286.0,289.5,297.3,296.1,295.3,305.0,307.5
18 Untergiesing - Harlaching,343.1,342.8,355.5,353.8,351.8,359.9,363.8
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,389.0,383.2,388.4,388.4,386.5,391.6,391.3
20 Hadern,361.8,362.6,369.9,370.5,369.5,378.8,376.3
21 Pasing - Obermenzing,383.9,386.2,392.3,394.0,388.2,390.4,392.8
22 Aubing - Lochhausen - Langwied,390.2,385.9,387.2,384.2,382.7,385.1,383.5
23 Allach - Untermenzing,450.7,451.0,448.3,447.8,440.7,453.8,449.4
24 Feldmoching - Hasenbergl,353.3,357.7,366.5,365.8,366.4,371.5,373.4
25 Laim,321.5,319.9,321.4,321.8,317.9,324.8,327.8
Which district had the largest decrease in the rate from 2015 to 2021, and what was that change (2021 minus 2015, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -6.7, "district": "22 Aubing - Lochhausen - Langwied"}| Model | Answer given | |
|---|---|---|
| Gemma 4 | {"district": "Allach - Untermenzing", "change": -1.3} | ✗ wrong |
| Llama 3.3 | {"district": "13 Bogenhausen", "change": -6.5} | ✗ wrong |
| Qwen · off | {"district": "19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln", "change": 2.3} | ✗ wrong |
| Qwen · on | {"district": "Aubing - Lochhausen - Langwied", "change": -6.7} | ✗ wrong |
development
munich-decrease-2015-2022
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2015,2016,2017,2018,2019,2020,2021,2022
01 Altstadt - Lehel,345.5,343.9,351.3,353.1,348.2,353.1,355.3,350.7
02 Ludwigsvorstadt - Isarvorstadt,243.2,240.8,257.1,257.5,254.8,260.9,265.2,260.4
03 Maxvorstadt,261.8,262.8,275.3,273.4,266.8,276.0,275.2,265.4
04 Schwabing - West,295.0,293.2,298.1,297.8,294.7,300.5,303.9,296.1
05 Au - Haidhausen,269.3,269.6,275.7,275.0,271.4,275.1,278.6,273.1
06 Sendling,296.8,298.9,301.8,298.3,294.4,301.9,304.4,298.4
07 Sendling - Westpark,325.7,327.4,330.9,331.1,330.0,335.5,337.0,328.3
08 Schwanthalerhöhe,246.5,249.8,255.9,256.9,258.1,266.2,271.4,266.0
09 Neuhausen - Nymphenburg,317.2,317.8,320.9,321.5,316.0,323.4,326.0,318.8
10 Moosach,347.9,347.1,351.6,350.7,348.5,354.2,353.7,348.4
11 Milbertshofen - Am Hart,275.4,276.0,283.4,283.7,279.5,288.2,288.2,280.9
12 Schwabing - Freimann,316.7,316.1,323.4,322.1,320.3,324.1,327.5,318.8
13 Bogenhausen,404.1,402.3,411.1,405.2,398.3,397.8,397.6,386.6
14 Berg am Laim,318.3,322.4,327.5,323.2,321.7,326.0,328.2,322.7
15 Trudering - Riem,409.6,408.5,413.0,411.9,412.9,416.1,417.9,410.8
16 Ramersdorf - Perlach,337.0,336.8,340.8,339.2,337.2,343.0,343.7,337.0
17 Obergiesing - Fasangarten,286.0,289.5,297.3,296.1,295.3,305.0,307.5,298.7
18 Untergiesing - Harlaching,343.1,342.8,355.5,353.8,351.8,359.9,363.8,356.4
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,389.0,383.2,388.4,388.4,386.5,391.6,391.3,381.2
20 Hadern,361.8,362.6,369.9,370.5,369.5,378.8,376.3,366.1
21 Pasing - Obermenzing,383.9,386.2,392.3,394.0,388.2,390.4,392.8,383.9
22 Aubing - Lochhausen - Langwied,390.2,385.9,387.2,384.2,382.7,385.1,383.5,373.3
23 Allach - Untermenzing,450.7,451.0,448.3,447.8,440.7,453.8,449.4,434.2
24 Feldmoching - Hasenbergl,353.3,357.7,366.5,365.8,366.4,371.5,373.4,366.6
25 Laim,321.5,319.9,321.4,321.8,317.9,324.8,327.8,319.5
Which district had the largest decrease in the rate from 2015 to 2022, and what was that change (2022 minus 2015, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -17.5, "district": "13 Bogenhausen"}test
munich-decrease-2015-2023
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2015,2016,2017,2018,2019,2020,2021,2022,2023
01 Altstadt - Lehel,345.5,343.9,351.3,353.1,348.2,353.1,355.3,350.7,348.5
02 Ludwigsvorstadt - Isarvorstadt,243.2,240.8,257.1,257.5,254.8,260.9,265.2,260.4,260.9
03 Maxvorstadt,261.8,262.8,275.3,273.4,266.8,276.0,275.2,265.4,264.7
04 Schwabing - West,295.0,293.2,298.1,297.8,294.7,300.5,303.9,296.1,293.0
05 Au - Haidhausen,269.3,269.6,275.7,275.0,271.4,275.1,278.6,273.1,270.0
06 Sendling,296.8,298.9,301.8,298.3,294.4,301.9,304.4,298.4,295.1
07 Sendling - Westpark,325.7,327.4,330.9,331.1,330.0,335.5,337.0,328.3,327.1
08 Schwanthalerhöhe,246.5,249.8,255.9,256.9,258.1,266.2,271.4,266.0,265.0
09 Neuhausen - Nymphenburg,317.2,317.8,320.9,321.5,316.0,323.4,326.0,318.8,315.1
10 Moosach,347.9,347.1,351.6,350.7,348.5,354.2,353.7,348.4,345.2
11 Milbertshofen - Am Hart,275.4,276.0,283.4,283.7,279.5,288.2,288.2,280.9,280.0
12 Schwabing - Freimann,316.7,316.1,323.4,322.1,320.3,324.1,327.5,318.8,324.7
13 Bogenhausen,404.1,402.3,411.1,405.2,398.3,397.8,397.6,386.6,384.6
14 Berg am Laim,318.3,322.4,327.5,323.2,321.7,326.0,328.2,322.7,321.4
15 Trudering - Riem,409.6,408.5,413.0,411.9,412.9,416.1,417.9,410.8,412.0
16 Ramersdorf - Perlach,337.0,336.8,340.8,339.2,337.2,343.0,343.7,337.0,336.1
17 Obergiesing - Fasangarten,286.0,289.5,297.3,296.1,295.3,305.0,307.5,298.7,297.3
18 Untergiesing - Harlaching,343.1,342.8,355.5,353.8,351.8,359.9,363.8,356.4,356.1
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,389.0,383.2,388.4,388.4,386.5,391.6,391.3,381.2,376.9
20 Hadern,361.8,362.6,369.9,370.5,369.5,378.8,376.3,366.1,365.2
21 Pasing - Obermenzing,383.9,386.2,392.3,394.0,388.2,390.4,392.8,383.9,379.9
22 Aubing - Lochhausen - Langwied,390.2,385.9,387.2,384.2,382.7,385.1,383.5,373.3,366.6
23 Allach - Untermenzing,450.7,451.0,448.3,447.8,440.7,453.8,449.4,434.2,438.9
24 Feldmoching - Hasenbergl,353.3,357.7,366.5,365.8,366.4,371.5,373.4,366.6,368.9
25 Laim,321.5,319.9,321.4,321.8,317.9,324.8,327.8,319.5,316.5
Which district had the largest decrease in the rate from 2015 to 2023, and what was that change (2023 minus 2015, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -23.6, "district": "22 Aubing - Lochhausen - Langwied"}| Model | Answer given | |
|---|---|---|
| Gemma 4 | {"district": "23 Allach - Untermenzing", "change": -11.8} | ✗ wrong |
| Llama 3.3 | {"district": "Bogenhausen", "change": -19.5} | ✗ wrong |
| Qwen · off | {"district": "22 Aubing - Lochhausen - Langwied", "change": -23.6} | ✓ correct |
| Qwen · on | {"district": "Aubing - Lochhausen - Langwied", "change": -23.6} | ✗ wrong |
test
munich-decrease-2015-2024
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2015,2016,2017,2018,2019,2020,2021,2022,2023,2024
01 Altstadt - Lehel,345.5,343.9,351.3,353.1,348.2,353.1,355.3,350.7,348.5,345.1
02 Ludwigsvorstadt - Isarvorstadt,243.2,240.8,257.1,257.5,254.8,260.9,265.2,260.4,260.9,259.3
03 Maxvorstadt,261.8,262.8,275.3,273.4,266.8,276.0,275.2,265.4,264.7,259.9
04 Schwabing - West,295.0,293.2,298.1,297.8,294.7,300.5,303.9,296.1,293.0,290.0
05 Au - Haidhausen,269.3,269.6,275.7,275.0,271.4,275.1,278.6,273.1,270.0,269.5
06 Sendling,296.8,298.9,301.8,298.3,294.4,301.9,304.4,298.4,295.1,291.8
07 Sendling - Westpark,325.7,327.4,330.9,331.1,330.0,335.5,337.0,328.3,327.1,326.6
08 Schwanthalerhöhe,246.5,249.8,255.9,256.9,258.1,266.2,271.4,266.0,265.0,263.3
09 Neuhausen - Nymphenburg,317.2,317.8,320.9,321.5,316.0,323.4,326.0,318.8,315.1,312.4
10 Moosach,347.9,347.1,351.6,350.7,348.5,354.2,353.7,348.4,345.2,342.3
11 Milbertshofen - Am Hart,275.4,276.0,283.4,283.7,279.5,288.2,288.2,280.9,280.0,279.4
12 Schwabing - Freimann,316.7,316.1,323.4,322.1,320.3,324.1,327.5,318.8,324.7,323.9
13 Bogenhausen,404.1,402.3,411.1,405.2,398.3,397.8,397.6,386.6,384.6,380.4
14 Berg am Laim,318.3,322.4,327.5,323.2,321.7,326.0,328.2,322.7,321.4,321.7
15 Trudering - Riem,409.6,408.5,413.0,411.9,412.9,416.1,417.9,410.8,412.0,410.3
16 Ramersdorf - Perlach,337.0,336.8,340.8,339.2,337.2,343.0,343.7,337.0,336.1,334.9
17 Obergiesing - Fasangarten,286.0,289.5,297.3,296.1,295.3,305.0,307.5,298.7,297.3,291.4
18 Untergiesing - Harlaching,343.1,342.8,355.5,353.8,351.8,359.9,363.8,356.4,356.1,354.4
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,389.0,383.2,388.4,388.4,386.5,391.6,391.3,381.2,376.9,373.2
20 Hadern,361.8,362.6,369.9,370.5,369.5,378.8,376.3,366.1,365.2,367.2
21 Pasing - Obermenzing,383.9,386.2,392.3,394.0,388.2,390.4,392.8,383.9,379.9,380.8
22 Aubing - Lochhausen - Langwied,390.2,385.9,387.2,384.2,382.7,385.1,383.5,373.3,366.6,356.9
23 Allach - Untermenzing,450.7,451.0,448.3,447.8,440.7,453.8,449.4,434.2,438.9,439.7
24 Feldmoching - Hasenbergl,353.3,357.7,366.5,365.8,366.4,371.5,373.4,366.6,368.9,365.6
25 Laim,321.5,319.9,321.4,321.8,317.9,324.8,327.8,319.5,316.5,314.8
Which district had the largest decrease in the rate from 2015 to 2024, and what was that change (2024 minus 2015, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -33.3, "district": "22 Aubing - Lochhausen - Langwied"}| Model | Answer given | |
|---|---|---|
| Gemma 4 | {"district": "Aubing - Lochhausen - Langwied", "change": -33.3} | ✗ wrong |
| Llama 3.3 | {"district": "Aubing - Lochhausen - Langwied", "change": -33.3} | ✗ wrong |
| Qwen · off | {"district": "22 Aubing - Lochhausen - Langwied", "change": -33.3} | ✓ correct |
| Qwen · on | {"district": "22 Aubing - Lochhausen - Langwied", "change": -33.3} | ✓ correct |
test
munich-decrease-2015-2025
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2015,2016,2017,2018,2019,2020,2021,2022,2023,2024,2025
01 Altstadt - Lehel,345.5,343.9,351.3,353.1,348.2,353.1,355.3,350.7,348.5,345.1,345.8
02 Ludwigsvorstadt - Isarvorstadt,243.2,240.8,257.1,257.5,254.8,260.9,265.2,260.4,260.9,259.3,258.1
03 Maxvorstadt,261.8,262.8,275.3,273.4,266.8,276.0,275.2,265.4,264.7,259.9,259.0
04 Schwabing - West,295.0,293.2,298.1,297.8,294.7,300.5,303.9,296.1,293.0,290.0,286.5
05 Au - Haidhausen,269.3,269.6,275.7,275.0,271.4,275.1,278.6,273.1,270.0,269.5,270.0
06 Sendling,296.8,298.9,301.8,298.3,294.4,301.9,304.4,298.4,295.1,291.8,288.0
07 Sendling - Westpark,325.7,327.4,330.9,331.1,330.0,335.5,337.0,328.3,327.1,326.6,323.8
08 Schwanthalerhöhe,246.5,249.8,255.9,256.9,258.1,266.2,271.4,266.0,265.0,263.3,257.7
09 Neuhausen - Nymphenburg,317.2,317.8,320.9,321.5,316.0,323.4,326.0,318.8,315.1,312.4,310.6
10 Moosach,347.9,347.1,351.6,350.7,348.5,354.2,353.7,348.4,345.2,342.3,341.5
11 Milbertshofen - Am Hart,275.4,276.0,283.4,283.7,279.5,288.2,288.2,280.9,280.0,279.4,278.5
12 Schwabing - Freimann,316.7,316.1,323.4,322.1,320.3,324.1,327.5,318.8,324.7,323.9,326.5
13 Bogenhausen,404.1,402.3,411.1,405.2,398.3,397.8,397.6,386.6,384.6,380.4,380.4
14 Berg am Laim,318.3,322.4,327.5,323.2,321.7,326.0,328.2,322.7,321.4,321.7,322.7
15 Trudering - Riem,409.6,408.5,413.0,411.9,412.9,416.1,417.9,410.8,412.0,410.3,406.3
16 Ramersdorf - Perlach,337.0,336.8,340.8,339.2,337.2,343.0,343.7,337.0,336.1,334.9,333.6
17 Obergiesing - Fasangarten,286.0,289.5,297.3,296.1,295.3,305.0,307.5,298.7,297.3,291.4,289.7
18 Untergiesing - Harlaching,343.1,342.8,355.5,353.8,351.8,359.9,363.8,356.4,356.1,354.4,352.4
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,389.0,383.2,388.4,388.4,386.5,391.6,391.3,381.2,376.9,373.2,370.1
20 Hadern,361.8,362.6,369.9,370.5,369.5,378.8,376.3,366.1,365.2,367.2,365.3
21 Pasing - Obermenzing,383.9,386.2,392.3,394.0,388.2,390.4,392.8,383.9,379.9,380.8,382.2
22 Aubing - Lochhausen - Langwied,390.2,385.9,387.2,384.2,382.7,385.1,383.5,373.3,366.6,356.9,351.8
23 Allach - Untermenzing,450.7,451.0,448.3,447.8,440.7,453.8,449.4,434.2,438.9,439.7,441.6
24 Feldmoching - Hasenbergl,353.3,357.7,366.5,365.8,366.4,371.5,373.4,366.6,368.9,365.6,363.3
25 Laim,321.5,319.9,321.4,321.8,317.9,324.8,327.8,319.5,316.5,314.8,312.2
Which district had the largest decrease in the rate from 2015 to 2025, and what was that change (2025 minus 2015, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -38.4, "district": "22 Aubing - Lochhausen - Langwied"}| Model | Answer given | |
|---|---|---|
| Gemma 4 | {"district": "Aubing - Lochhausen - Langwied", "change": -38.4} | ✗ wrong |
| Llama 3.3 | {"district": "Aubing - Lochhausen - Langwied", "change": -38.4} | ✗ wrong |
| Qwen · off | {"district": "22 Aubing - Lochhausen - Langwied", "change": -38.4} | ✓ correct |
| Qwen · on | {"district": "22 Aubing - Lochhausen - Langwied", "change": -38.4} | ✓ correct |
test
munich-decrease-2016-2018
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2016,2017,2018
01 Altstadt - Lehel,343.9,351.3,353.1
02 Ludwigsvorstadt - Isarvorstadt,240.8,257.1,257.5
03 Maxvorstadt,262.8,275.3,273.4
04 Schwabing - West,293.2,298.1,297.8
05 Au - Haidhausen,269.6,275.7,275.0
06 Sendling,298.9,301.8,298.3
07 Sendling - Westpark,327.4,330.9,331.1
08 Schwanthalerhöhe,249.8,255.9,256.9
09 Neuhausen - Nymphenburg,317.8,320.9,321.5
10 Moosach,347.1,351.6,350.7
11 Milbertshofen - Am Hart,276.0,283.4,283.7
12 Schwabing - Freimann,316.1,323.4,322.1
13 Bogenhausen,402.3,411.1,405.2
14 Berg am Laim,322.4,327.5,323.2
15 Trudering - Riem,408.5,413.0,411.9
16 Ramersdorf - Perlach,336.8,340.8,339.2
17 Obergiesing - Fasangarten,289.5,297.3,296.1
18 Untergiesing - Harlaching,342.8,355.5,353.8
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,383.2,388.4,388.4
20 Hadern,362.6,369.9,370.5
21 Pasing - Obermenzing,386.2,392.3,394.0
22 Aubing - Lochhausen - Langwied,385.9,387.2,384.2
23 Allach - Untermenzing,451.0,448.3,447.8
24 Feldmoching - Hasenbergl,357.7,366.5,365.8
25 Laim,319.9,321.4,321.8
Which district had the largest decrease in the rate from 2016 to 2018, and what was that change (2018 minus 2016, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -3.2, "district": "23 Allach - Untermenzing"}| Model | Answer given | |
|---|---|---|
| Gemma 4 | {"district": "23 Allach - Untermenzing", "change": -3.2} | ✓ correct |
| Llama 3.3 | {"district": "Allach - Untermenzing", "change": -3.2} | ✗ wrong |
| Qwen · off | {"district": "23 Allach - Untermenzing", "change": -3.2} | ✓ correct |
| Qwen · on | {"district": "23 Allach - Untermenzing", "change": -3.2} | ✓ correct |
development
munich-decrease-2016-2019
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2016,2017,2018,2019
01 Altstadt - Lehel,343.9,351.3,353.1,348.2
02 Ludwigsvorstadt - Isarvorstadt,240.8,257.1,257.5,254.8
03 Maxvorstadt,262.8,275.3,273.4,266.8
04 Schwabing - West,293.2,298.1,297.8,294.7
05 Au - Haidhausen,269.6,275.7,275.0,271.4
06 Sendling,298.9,301.8,298.3,294.4
07 Sendling - Westpark,327.4,330.9,331.1,330.0
08 Schwanthalerhöhe,249.8,255.9,256.9,258.1
09 Neuhausen - Nymphenburg,317.8,320.9,321.5,316.0
10 Moosach,347.1,351.6,350.7,348.5
11 Milbertshofen - Am Hart,276.0,283.4,283.7,279.5
12 Schwabing - Freimann,316.1,323.4,322.1,320.3
13 Bogenhausen,402.3,411.1,405.2,398.3
14 Berg am Laim,322.4,327.5,323.2,321.7
15 Trudering - Riem,408.5,413.0,411.9,412.9
16 Ramersdorf - Perlach,336.8,340.8,339.2,337.2
17 Obergiesing - Fasangarten,289.5,297.3,296.1,295.3
18 Untergiesing - Harlaching,342.8,355.5,353.8,351.8
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,383.2,388.4,388.4,386.5
20 Hadern,362.6,369.9,370.5,369.5
21 Pasing - Obermenzing,386.2,392.3,394.0,388.2
22 Aubing - Lochhausen - Langwied,385.9,387.2,384.2,382.7
23 Allach - Untermenzing,451.0,448.3,447.8,440.7
24 Feldmoching - Hasenbergl,357.7,366.5,365.8,366.4
25 Laim,319.9,321.4,321.8,317.9
Which district had the largest decrease in the rate from 2016 to 2019, and what was that change (2019 minus 2016, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -10.3, "district": "23 Allach - Untermenzing"}test
munich-decrease-2016-2020
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2016,2017,2018,2019,2020
01 Altstadt - Lehel,343.9,351.3,353.1,348.2,353.1
02 Ludwigsvorstadt - Isarvorstadt,240.8,257.1,257.5,254.8,260.9
03 Maxvorstadt,262.8,275.3,273.4,266.8,276.0
04 Schwabing - West,293.2,298.1,297.8,294.7,300.5
05 Au - Haidhausen,269.6,275.7,275.0,271.4,275.1
06 Sendling,298.9,301.8,298.3,294.4,301.9
07 Sendling - Westpark,327.4,330.9,331.1,330.0,335.5
08 Schwanthalerhöhe,249.8,255.9,256.9,258.1,266.2
09 Neuhausen - Nymphenburg,317.8,320.9,321.5,316.0,323.4
10 Moosach,347.1,351.6,350.7,348.5,354.2
11 Milbertshofen - Am Hart,276.0,283.4,283.7,279.5,288.2
12 Schwabing - Freimann,316.1,323.4,322.1,320.3,324.1
13 Bogenhausen,402.3,411.1,405.2,398.3,397.8
14 Berg am Laim,322.4,327.5,323.2,321.7,326.0
15 Trudering - Riem,408.5,413.0,411.9,412.9,416.1
16 Ramersdorf - Perlach,336.8,340.8,339.2,337.2,343.0
17 Obergiesing - Fasangarten,289.5,297.3,296.1,295.3,305.0
18 Untergiesing - Harlaching,342.8,355.5,353.8,351.8,359.9
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,383.2,388.4,388.4,386.5,391.6
20 Hadern,362.6,369.9,370.5,369.5,378.8
21 Pasing - Obermenzing,386.2,392.3,394.0,388.2,390.4
22 Aubing - Lochhausen - Langwied,385.9,387.2,384.2,382.7,385.1
23 Allach - Untermenzing,451.0,448.3,447.8,440.7,453.8
24 Feldmoching - Hasenbergl,357.7,366.5,365.8,366.4,371.5
25 Laim,319.9,321.4,321.8,317.9,324.8
Which district had the largest decrease in the rate from 2016 to 2020, and what was that change (2020 minus 2016, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -4.5, "district": "13 Bogenhausen"}| Model | Answer given | |
|---|---|---|
| Gemma 4 | {"district": "Allach - Untermenzing", "change": -27.2} | ✗ wrong |
| Llama 3.3 | {"district": "Bogenhausen", "change": -4.5} | ✗ wrong |
| Qwen · off | {"district": "13 Bogenhausen", "change": -4.5} | ✓ correct |
| Qwen · on | {"district": "13 Bogenhausen", "change": -4.5} | ✓ correct |
test
munich-decrease-2016-2021
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2016,2017,2018,2019,2020,2021
01 Altstadt - Lehel,343.9,351.3,353.1,348.2,353.1,355.3
02 Ludwigsvorstadt - Isarvorstadt,240.8,257.1,257.5,254.8,260.9,265.2
03 Maxvorstadt,262.8,275.3,273.4,266.8,276.0,275.2
04 Schwabing - West,293.2,298.1,297.8,294.7,300.5,303.9
05 Au - Haidhausen,269.6,275.7,275.0,271.4,275.1,278.6
06 Sendling,298.9,301.8,298.3,294.4,301.9,304.4
07 Sendling - Westpark,327.4,330.9,331.1,330.0,335.5,337.0
08 Schwanthalerhöhe,249.8,255.9,256.9,258.1,266.2,271.4
09 Neuhausen - Nymphenburg,317.8,320.9,321.5,316.0,323.4,326.0
10 Moosach,347.1,351.6,350.7,348.5,354.2,353.7
11 Milbertshofen - Am Hart,276.0,283.4,283.7,279.5,288.2,288.2
12 Schwabing - Freimann,316.1,323.4,322.1,320.3,324.1,327.5
13 Bogenhausen,402.3,411.1,405.2,398.3,397.8,397.6
14 Berg am Laim,322.4,327.5,323.2,321.7,326.0,328.2
15 Trudering - Riem,408.5,413.0,411.9,412.9,416.1,417.9
16 Ramersdorf - Perlach,336.8,340.8,339.2,337.2,343.0,343.7
17 Obergiesing - Fasangarten,289.5,297.3,296.1,295.3,305.0,307.5
18 Untergiesing - Harlaching,342.8,355.5,353.8,351.8,359.9,363.8
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,383.2,388.4,388.4,386.5,391.6,391.3
20 Hadern,362.6,369.9,370.5,369.5,378.8,376.3
21 Pasing - Obermenzing,386.2,392.3,394.0,388.2,390.4,392.8
22 Aubing - Lochhausen - Langwied,385.9,387.2,384.2,382.7,385.1,383.5
23 Allach - Untermenzing,451.0,448.3,447.8,440.7,453.8,449.4
24 Feldmoching - Hasenbergl,357.7,366.5,365.8,366.4,371.5,373.4
25 Laim,319.9,321.4,321.8,317.9,324.8,327.8
Which district had the largest decrease in the rate from 2016 to 2021, and what was that change (2021 minus 2016, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -4.7, "district": "13 Bogenhausen"}| Model | Answer given | |
|---|---|---|
| Gemma 4 | {"district": "Allach - Untermenzing", "change": -1.6} | ✗ wrong |
| Llama 3.3 | {"district": "13 Bogenhausen", "change": -4.7} | ✓ correct |
| Qwen · off | {"district": "23 Allach - Untermenzing", "change": -1.6} | ✗ wrong |
| Qwen · on | {"district": "13 Bogenhausen", "change": -4.7} | ✓ correct |
test
munich-decrease-2016-2022
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2016,2017,2018,2019,2020,2021,2022
01 Altstadt - Lehel,343.9,351.3,353.1,348.2,353.1,355.3,350.7
02 Ludwigsvorstadt - Isarvorstadt,240.8,257.1,257.5,254.8,260.9,265.2,260.4
03 Maxvorstadt,262.8,275.3,273.4,266.8,276.0,275.2,265.4
04 Schwabing - West,293.2,298.1,297.8,294.7,300.5,303.9,296.1
05 Au - Haidhausen,269.6,275.7,275.0,271.4,275.1,278.6,273.1
06 Sendling,298.9,301.8,298.3,294.4,301.9,304.4,298.4
07 Sendling - Westpark,327.4,330.9,331.1,330.0,335.5,337.0,328.3
08 Schwanthalerhöhe,249.8,255.9,256.9,258.1,266.2,271.4,266.0
09 Neuhausen - Nymphenburg,317.8,320.9,321.5,316.0,323.4,326.0,318.8
10 Moosach,347.1,351.6,350.7,348.5,354.2,353.7,348.4
11 Milbertshofen - Am Hart,276.0,283.4,283.7,279.5,288.2,288.2,280.9
12 Schwabing - Freimann,316.1,323.4,322.1,320.3,324.1,327.5,318.8
13 Bogenhausen,402.3,411.1,405.2,398.3,397.8,397.6,386.6
14 Berg am Laim,322.4,327.5,323.2,321.7,326.0,328.2,322.7
15 Trudering - Riem,408.5,413.0,411.9,412.9,416.1,417.9,410.8
16 Ramersdorf - Perlach,336.8,340.8,339.2,337.2,343.0,343.7,337.0
17 Obergiesing - Fasangarten,289.5,297.3,296.1,295.3,305.0,307.5,298.7
18 Untergiesing - Harlaching,342.8,355.5,353.8,351.8,359.9,363.8,356.4
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,383.2,388.4,388.4,386.5,391.6,391.3,381.2
20 Hadern,362.6,369.9,370.5,369.5,378.8,376.3,366.1
21 Pasing - Obermenzing,386.2,392.3,394.0,388.2,390.4,392.8,383.9
22 Aubing - Lochhausen - Langwied,385.9,387.2,384.2,382.7,385.1,383.5,373.3
23 Allach - Untermenzing,451.0,448.3,447.8,440.7,453.8,449.4,434.2
24 Feldmoching - Hasenbergl,357.7,366.5,365.8,366.4,371.5,373.4,366.6
25 Laim,319.9,321.4,321.8,317.9,324.8,327.8,319.5
Which district had the largest decrease in the rate from 2016 to 2022, and what was that change (2022 minus 2016, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -16.8, "district": "23 Allach - Untermenzing"}| Model | Answer given | |
|---|---|---|
| Gemma 4 | {"district": "Allach - Untermenzing", "change": -16.8} | ✗ wrong |
| Llama 3.3 | {"district": "Bogenhausen", "change": -15.7} | ✗ wrong |
| Qwen · off | {"district": "23 Allach - Untermenzing", "change": -16.8} | ✓ correct |
| Qwen · on | {"district": "23 Allach - Untermenzing", "change": -16.8} | ✓ correct |
development
munich-decrease-2016-2023
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2016,2017,2018,2019,2020,2021,2022,2023
01 Altstadt - Lehel,343.9,351.3,353.1,348.2,353.1,355.3,350.7,348.5
02 Ludwigsvorstadt - Isarvorstadt,240.8,257.1,257.5,254.8,260.9,265.2,260.4,260.9
03 Maxvorstadt,262.8,275.3,273.4,266.8,276.0,275.2,265.4,264.7
04 Schwabing - West,293.2,298.1,297.8,294.7,300.5,303.9,296.1,293.0
05 Au - Haidhausen,269.6,275.7,275.0,271.4,275.1,278.6,273.1,270.0
06 Sendling,298.9,301.8,298.3,294.4,301.9,304.4,298.4,295.1
07 Sendling - Westpark,327.4,330.9,331.1,330.0,335.5,337.0,328.3,327.1
08 Schwanthalerhöhe,249.8,255.9,256.9,258.1,266.2,271.4,266.0,265.0
09 Neuhausen - Nymphenburg,317.8,320.9,321.5,316.0,323.4,326.0,318.8,315.1
10 Moosach,347.1,351.6,350.7,348.5,354.2,353.7,348.4,345.2
11 Milbertshofen - Am Hart,276.0,283.4,283.7,279.5,288.2,288.2,280.9,280.0
12 Schwabing - Freimann,316.1,323.4,322.1,320.3,324.1,327.5,318.8,324.7
13 Bogenhausen,402.3,411.1,405.2,398.3,397.8,397.6,386.6,384.6
14 Berg am Laim,322.4,327.5,323.2,321.7,326.0,328.2,322.7,321.4
15 Trudering - Riem,408.5,413.0,411.9,412.9,416.1,417.9,410.8,412.0
16 Ramersdorf - Perlach,336.8,340.8,339.2,337.2,343.0,343.7,337.0,336.1
17 Obergiesing - Fasangarten,289.5,297.3,296.1,295.3,305.0,307.5,298.7,297.3
18 Untergiesing - Harlaching,342.8,355.5,353.8,351.8,359.9,363.8,356.4,356.1
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,383.2,388.4,388.4,386.5,391.6,391.3,381.2,376.9
20 Hadern,362.6,369.9,370.5,369.5,378.8,376.3,366.1,365.2
21 Pasing - Obermenzing,386.2,392.3,394.0,388.2,390.4,392.8,383.9,379.9
22 Aubing - Lochhausen - Langwied,385.9,387.2,384.2,382.7,385.1,383.5,373.3,366.6
23 Allach - Untermenzing,451.0,448.3,447.8,440.7,453.8,449.4,434.2,438.9
24 Feldmoching - Hasenbergl,357.7,366.5,365.8,366.4,371.5,373.4,366.6,368.9
25 Laim,319.9,321.4,321.8,317.9,324.8,327.8,319.5,316.5
Which district had the largest decrease in the rate from 2016 to 2023, and what was that change (2023 minus 2016, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -19.3, "district": "22 Aubing - Lochhausen - Langwied"}development
munich-decrease-2016-2024
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2016,2017,2018,2019,2020,2021,2022,2023,2024
01 Altstadt - Lehel,343.9,351.3,353.1,348.2,353.1,355.3,350.7,348.5,345.1
02 Ludwigsvorstadt - Isarvorstadt,240.8,257.1,257.5,254.8,260.9,265.2,260.4,260.9,259.3
03 Maxvorstadt,262.8,275.3,273.4,266.8,276.0,275.2,265.4,264.7,259.9
04 Schwabing - West,293.2,298.1,297.8,294.7,300.5,303.9,296.1,293.0,290.0
05 Au - Haidhausen,269.6,275.7,275.0,271.4,275.1,278.6,273.1,270.0,269.5
06 Sendling,298.9,301.8,298.3,294.4,301.9,304.4,298.4,295.1,291.8
07 Sendling - Westpark,327.4,330.9,331.1,330.0,335.5,337.0,328.3,327.1,326.6
08 Schwanthalerhöhe,249.8,255.9,256.9,258.1,266.2,271.4,266.0,265.0,263.3
09 Neuhausen - Nymphenburg,317.8,320.9,321.5,316.0,323.4,326.0,318.8,315.1,312.4
10 Moosach,347.1,351.6,350.7,348.5,354.2,353.7,348.4,345.2,342.3
11 Milbertshofen - Am Hart,276.0,283.4,283.7,279.5,288.2,288.2,280.9,280.0,279.4
12 Schwabing - Freimann,316.1,323.4,322.1,320.3,324.1,327.5,318.8,324.7,323.9
13 Bogenhausen,402.3,411.1,405.2,398.3,397.8,397.6,386.6,384.6,380.4
14 Berg am Laim,322.4,327.5,323.2,321.7,326.0,328.2,322.7,321.4,321.7
15 Trudering - Riem,408.5,413.0,411.9,412.9,416.1,417.9,410.8,412.0,410.3
16 Ramersdorf - Perlach,336.8,340.8,339.2,337.2,343.0,343.7,337.0,336.1,334.9
17 Obergiesing - Fasangarten,289.5,297.3,296.1,295.3,305.0,307.5,298.7,297.3,291.4
18 Untergiesing - Harlaching,342.8,355.5,353.8,351.8,359.9,363.8,356.4,356.1,354.4
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,383.2,388.4,388.4,386.5,391.6,391.3,381.2,376.9,373.2
20 Hadern,362.6,369.9,370.5,369.5,378.8,376.3,366.1,365.2,367.2
21 Pasing - Obermenzing,386.2,392.3,394.0,388.2,390.4,392.8,383.9,379.9,380.8
22 Aubing - Lochhausen - Langwied,385.9,387.2,384.2,382.7,385.1,383.5,373.3,366.6,356.9
23 Allach - Untermenzing,451.0,448.3,447.8,440.7,453.8,449.4,434.2,438.9,439.7
24 Feldmoching - Hasenbergl,357.7,366.5,365.8,366.4,371.5,373.4,366.6,368.9,365.6
25 Laim,319.9,321.4,321.8,317.9,324.8,327.8,319.5,316.5,314.8
Which district had the largest decrease in the rate from 2016 to 2024, and what was that change (2024 minus 2016, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -29.0, "district": "22 Aubing - Lochhausen - Langwied"}test
munich-decrease-2016-2025
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2016,2017,2018,2019,2020,2021,2022,2023,2024,2025
01 Altstadt - Lehel,343.9,351.3,353.1,348.2,353.1,355.3,350.7,348.5,345.1,345.8
02 Ludwigsvorstadt - Isarvorstadt,240.8,257.1,257.5,254.8,260.9,265.2,260.4,260.9,259.3,258.1
03 Maxvorstadt,262.8,275.3,273.4,266.8,276.0,275.2,265.4,264.7,259.9,259.0
04 Schwabing - West,293.2,298.1,297.8,294.7,300.5,303.9,296.1,293.0,290.0,286.5
05 Au - Haidhausen,269.6,275.7,275.0,271.4,275.1,278.6,273.1,270.0,269.5,270.0
06 Sendling,298.9,301.8,298.3,294.4,301.9,304.4,298.4,295.1,291.8,288.0
07 Sendling - Westpark,327.4,330.9,331.1,330.0,335.5,337.0,328.3,327.1,326.6,323.8
08 Schwanthalerhöhe,249.8,255.9,256.9,258.1,266.2,271.4,266.0,265.0,263.3,257.7
09 Neuhausen - Nymphenburg,317.8,320.9,321.5,316.0,323.4,326.0,318.8,315.1,312.4,310.6
10 Moosach,347.1,351.6,350.7,348.5,354.2,353.7,348.4,345.2,342.3,341.5
11 Milbertshofen - Am Hart,276.0,283.4,283.7,279.5,288.2,288.2,280.9,280.0,279.4,278.5
12 Schwabing - Freimann,316.1,323.4,322.1,320.3,324.1,327.5,318.8,324.7,323.9,326.5
13 Bogenhausen,402.3,411.1,405.2,398.3,397.8,397.6,386.6,384.6,380.4,380.4
14 Berg am Laim,322.4,327.5,323.2,321.7,326.0,328.2,322.7,321.4,321.7,322.7
15 Trudering - Riem,408.5,413.0,411.9,412.9,416.1,417.9,410.8,412.0,410.3,406.3
16 Ramersdorf - Perlach,336.8,340.8,339.2,337.2,343.0,343.7,337.0,336.1,334.9,333.6
17 Obergiesing - Fasangarten,289.5,297.3,296.1,295.3,305.0,307.5,298.7,297.3,291.4,289.7
18 Untergiesing - Harlaching,342.8,355.5,353.8,351.8,359.9,363.8,356.4,356.1,354.4,352.4
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,383.2,388.4,388.4,386.5,391.6,391.3,381.2,376.9,373.2,370.1
20 Hadern,362.6,369.9,370.5,369.5,378.8,376.3,366.1,365.2,367.2,365.3
21 Pasing - Obermenzing,386.2,392.3,394.0,388.2,390.4,392.8,383.9,379.9,380.8,382.2
22 Aubing - Lochhausen - Langwied,385.9,387.2,384.2,382.7,385.1,383.5,373.3,366.6,356.9,351.8
23 Allach - Untermenzing,451.0,448.3,447.8,440.7,453.8,449.4,434.2,438.9,439.7,441.6
24 Feldmoching - Hasenbergl,357.7,366.5,365.8,366.4,371.5,373.4,366.6,368.9,365.6,363.3
25 Laim,319.9,321.4,321.8,317.9,324.8,327.8,319.5,316.5,314.8,312.2
Which district had the largest decrease in the rate from 2016 to 2025, and what was that change (2025 minus 2016, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -34.1, "district": "22 Aubing - Lochhausen - Langwied"}| Model | Answer given | |
|---|---|---|
| Gemma 4 | {"district": "Aubing - Lochhausen - Langwied", "change": -34.1} | ✗ wrong |
| Llama 3.3 | {"district": "Aubing - Lochhausen - Langwied", "change": -34.1} | ✗ wrong |
| Qwen · off | {"district": "22 Aubing - Lochhausen - Langwied", "change": -34.1} | ✓ correct |
| Qwen · on | {"district": "Aubing - Lochhausen - Langwied", "change": -34.1} | ✗ wrong |
test
munich-decrease-2017-2019
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2017,2018,2019
01 Altstadt - Lehel,351.3,353.1,348.2
02 Ludwigsvorstadt - Isarvorstadt,257.1,257.5,254.8
03 Maxvorstadt,275.3,273.4,266.8
04 Schwabing - West,298.1,297.8,294.7
05 Au - Haidhausen,275.7,275.0,271.4
06 Sendling,301.8,298.3,294.4
07 Sendling - Westpark,330.9,331.1,330.0
08 Schwanthalerhöhe,255.9,256.9,258.1
09 Neuhausen - Nymphenburg,320.9,321.5,316.0
10 Moosach,351.6,350.7,348.5
11 Milbertshofen - Am Hart,283.4,283.7,279.5
12 Schwabing - Freimann,323.4,322.1,320.3
13 Bogenhausen,411.1,405.2,398.3
14 Berg am Laim,327.5,323.2,321.7
15 Trudering - Riem,413.0,411.9,412.9
16 Ramersdorf - Perlach,340.8,339.2,337.2
17 Obergiesing - Fasangarten,297.3,296.1,295.3
18 Untergiesing - Harlaching,355.5,353.8,351.8
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,388.4,388.4,386.5
20 Hadern,369.9,370.5,369.5
21 Pasing - Obermenzing,392.3,394.0,388.2
22 Aubing - Lochhausen - Langwied,387.2,384.2,382.7
23 Allach - Untermenzing,448.3,447.8,440.7
24 Feldmoching - Hasenbergl,366.5,365.8,366.4
25 Laim,321.4,321.8,317.9
Which district had the largest decrease in the rate from 2017 to 2019, and what was that change (2019 minus 2017, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -12.8, "district": "13 Bogenhausen"}| Model | Answer given | |
|---|---|---|
| Gemma 4 | {"district": "23 Allach - Untermenzing", "change": -7.6} | ✗ wrong |
| Llama 3.3 | {"district": "13 Bogenhausen", "change": -12.8} | ✓ correct |
| Qwen · off | {"district": "23 Allach - Untermenzing", "change": -7.6} | ✗ wrong |
| Qwen · on | {"district": "Bogenhausen", "change": -12.8} | ✗ wrong |
development
munich-decrease-2017-2020
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2017,2018,2019,2020
01 Altstadt - Lehel,351.3,353.1,348.2,353.1
02 Ludwigsvorstadt - Isarvorstadt,257.1,257.5,254.8,260.9
03 Maxvorstadt,275.3,273.4,266.8,276.0
04 Schwabing - West,298.1,297.8,294.7,300.5
05 Au - Haidhausen,275.7,275.0,271.4,275.1
06 Sendling,301.8,298.3,294.4,301.9
07 Sendling - Westpark,330.9,331.1,330.0,335.5
08 Schwanthalerhöhe,255.9,256.9,258.1,266.2
09 Neuhausen - Nymphenburg,320.9,321.5,316.0,323.4
10 Moosach,351.6,350.7,348.5,354.2
11 Milbertshofen - Am Hart,283.4,283.7,279.5,288.2
12 Schwabing - Freimann,323.4,322.1,320.3,324.1
13 Bogenhausen,411.1,405.2,398.3,397.8
14 Berg am Laim,327.5,323.2,321.7,326.0
15 Trudering - Riem,413.0,411.9,412.9,416.1
16 Ramersdorf - Perlach,340.8,339.2,337.2,343.0
17 Obergiesing - Fasangarten,297.3,296.1,295.3,305.0
18 Untergiesing - Harlaching,355.5,353.8,351.8,359.9
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,388.4,388.4,386.5,391.6
20 Hadern,369.9,370.5,369.5,378.8
21 Pasing - Obermenzing,392.3,394.0,388.2,390.4
22 Aubing - Lochhausen - Langwied,387.2,384.2,382.7,385.1
23 Allach - Untermenzing,448.3,447.8,440.7,453.8
24 Feldmoching - Hasenbergl,366.5,365.8,366.4,371.5
25 Laim,321.4,321.8,317.9,324.8
Which district had the largest decrease in the rate from 2017 to 2020, and what was that change (2020 minus 2017, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -13.3, "district": "13 Bogenhausen"}development
munich-decrease-2017-2021
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2017,2018,2019,2020,2021
01 Altstadt - Lehel,351.3,353.1,348.2,353.1,355.3
02 Ludwigsvorstadt - Isarvorstadt,257.1,257.5,254.8,260.9,265.2
03 Maxvorstadt,275.3,273.4,266.8,276.0,275.2
04 Schwabing - West,298.1,297.8,294.7,300.5,303.9
05 Au - Haidhausen,275.7,275.0,271.4,275.1,278.6
06 Sendling,301.8,298.3,294.4,301.9,304.4
07 Sendling - Westpark,330.9,331.1,330.0,335.5,337.0
08 Schwanthalerhöhe,255.9,256.9,258.1,266.2,271.4
09 Neuhausen - Nymphenburg,320.9,321.5,316.0,323.4,326.0
10 Moosach,351.6,350.7,348.5,354.2,353.7
11 Milbertshofen - Am Hart,283.4,283.7,279.5,288.2,288.2
12 Schwabing - Freimann,323.4,322.1,320.3,324.1,327.5
13 Bogenhausen,411.1,405.2,398.3,397.8,397.6
14 Berg am Laim,327.5,323.2,321.7,326.0,328.2
15 Trudering - Riem,413.0,411.9,412.9,416.1,417.9
16 Ramersdorf - Perlach,340.8,339.2,337.2,343.0,343.7
17 Obergiesing - Fasangarten,297.3,296.1,295.3,305.0,307.5
18 Untergiesing - Harlaching,355.5,353.8,351.8,359.9,363.8
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,388.4,388.4,386.5,391.6,391.3
20 Hadern,369.9,370.5,369.5,378.8,376.3
21 Pasing - Obermenzing,392.3,394.0,388.2,390.4,392.8
22 Aubing - Lochhausen - Langwied,387.2,384.2,382.7,385.1,383.5
23 Allach - Untermenzing,448.3,447.8,440.7,453.8,449.4
24 Feldmoching - Hasenbergl,366.5,365.8,366.4,371.5,373.4
25 Laim,321.4,321.8,317.9,324.8,327.8
Which district had the largest decrease in the rate from 2017 to 2021, and what was that change (2021 minus 2017, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -13.5, "district": "13 Bogenhausen"}test
munich-decrease-2017-2022
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2017,2018,2019,2020,2021,2022
01 Altstadt - Lehel,351.3,353.1,348.2,353.1,355.3,350.7
02 Ludwigsvorstadt - Isarvorstadt,257.1,257.5,254.8,260.9,265.2,260.4
03 Maxvorstadt,275.3,273.4,266.8,276.0,275.2,265.4
04 Schwabing - West,298.1,297.8,294.7,300.5,303.9,296.1
05 Au - Haidhausen,275.7,275.0,271.4,275.1,278.6,273.1
06 Sendling,301.8,298.3,294.4,301.9,304.4,298.4
07 Sendling - Westpark,330.9,331.1,330.0,335.5,337.0,328.3
08 Schwanthalerhöhe,255.9,256.9,258.1,266.2,271.4,266.0
09 Neuhausen - Nymphenburg,320.9,321.5,316.0,323.4,326.0,318.8
10 Moosach,351.6,350.7,348.5,354.2,353.7,348.4
11 Milbertshofen - Am Hart,283.4,283.7,279.5,288.2,288.2,280.9
12 Schwabing - Freimann,323.4,322.1,320.3,324.1,327.5,318.8
13 Bogenhausen,411.1,405.2,398.3,397.8,397.6,386.6
14 Berg am Laim,327.5,323.2,321.7,326.0,328.2,322.7
15 Trudering - Riem,413.0,411.9,412.9,416.1,417.9,410.8
16 Ramersdorf - Perlach,340.8,339.2,337.2,343.0,343.7,337.0
17 Obergiesing - Fasangarten,297.3,296.1,295.3,305.0,307.5,298.7
18 Untergiesing - Harlaching,355.5,353.8,351.8,359.9,363.8,356.4
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,388.4,388.4,386.5,391.6,391.3,381.2
20 Hadern,369.9,370.5,369.5,378.8,376.3,366.1
21 Pasing - Obermenzing,392.3,394.0,388.2,390.4,392.8,383.9
22 Aubing - Lochhausen - Langwied,387.2,384.2,382.7,385.1,383.5,373.3
23 Allach - Untermenzing,448.3,447.8,440.7,453.8,449.4,434.2
24 Feldmoching - Hasenbergl,366.5,365.8,366.4,371.5,373.4,366.6
25 Laim,321.4,321.8,317.9,324.8,327.8,319.5
Which district had the largest decrease in the rate from 2017 to 2022, and what was that change (2022 minus 2017, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -24.5, "district": "13 Bogenhausen"}| Model | Answer given | |
|---|---|---|
| Gemma 4 | {"district": "23 Allach - Untermenzing", "change": -14.1} | ✗ wrong |
| Llama 3.3 | {"district": "Bogenhausen", "change": -24.5} | ✗ wrong |
| Qwen · off | {"district": "13 Bogenhausen", "change": -24.5} | ✓ correct |
| Qwen · on | {"district": "13 Bogenhausen", "change": -24.5} | ✓ correct |
development
munich-decrease-2017-2023
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2017,2018,2019,2020,2021,2022,2023
01 Altstadt - Lehel,351.3,353.1,348.2,353.1,355.3,350.7,348.5
02 Ludwigsvorstadt - Isarvorstadt,257.1,257.5,254.8,260.9,265.2,260.4,260.9
03 Maxvorstadt,275.3,273.4,266.8,276.0,275.2,265.4,264.7
04 Schwabing - West,298.1,297.8,294.7,300.5,303.9,296.1,293.0
05 Au - Haidhausen,275.7,275.0,271.4,275.1,278.6,273.1,270.0
06 Sendling,301.8,298.3,294.4,301.9,304.4,298.4,295.1
07 Sendling - Westpark,330.9,331.1,330.0,335.5,337.0,328.3,327.1
08 Schwanthalerhöhe,255.9,256.9,258.1,266.2,271.4,266.0,265.0
09 Neuhausen - Nymphenburg,320.9,321.5,316.0,323.4,326.0,318.8,315.1
10 Moosach,351.6,350.7,348.5,354.2,353.7,348.4,345.2
11 Milbertshofen - Am Hart,283.4,283.7,279.5,288.2,288.2,280.9,280.0
12 Schwabing - Freimann,323.4,322.1,320.3,324.1,327.5,318.8,324.7
13 Bogenhausen,411.1,405.2,398.3,397.8,397.6,386.6,384.6
14 Berg am Laim,327.5,323.2,321.7,326.0,328.2,322.7,321.4
15 Trudering - Riem,413.0,411.9,412.9,416.1,417.9,410.8,412.0
16 Ramersdorf - Perlach,340.8,339.2,337.2,343.0,343.7,337.0,336.1
17 Obergiesing - Fasangarten,297.3,296.1,295.3,305.0,307.5,298.7,297.3
18 Untergiesing - Harlaching,355.5,353.8,351.8,359.9,363.8,356.4,356.1
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,388.4,388.4,386.5,391.6,391.3,381.2,376.9
20 Hadern,369.9,370.5,369.5,378.8,376.3,366.1,365.2
21 Pasing - Obermenzing,392.3,394.0,388.2,390.4,392.8,383.9,379.9
22 Aubing - Lochhausen - Langwied,387.2,384.2,382.7,385.1,383.5,373.3,366.6
23 Allach - Untermenzing,448.3,447.8,440.7,453.8,449.4,434.2,438.9
24 Feldmoching - Hasenbergl,366.5,365.8,366.4,371.5,373.4,366.6,368.9
25 Laim,321.4,321.8,317.9,324.8,327.8,319.5,316.5
Which district had the largest decrease in the rate from 2017 to 2023, and what was that change (2023 minus 2017, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -26.5, "district": "13 Bogenhausen"}test
munich-decrease-2017-2024
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2017,2018,2019,2020,2021,2022,2023,2024
01 Altstadt - Lehel,351.3,353.1,348.2,353.1,355.3,350.7,348.5,345.1
02 Ludwigsvorstadt - Isarvorstadt,257.1,257.5,254.8,260.9,265.2,260.4,260.9,259.3
03 Maxvorstadt,275.3,273.4,266.8,276.0,275.2,265.4,264.7,259.9
04 Schwabing - West,298.1,297.8,294.7,300.5,303.9,296.1,293.0,290.0
05 Au - Haidhausen,275.7,275.0,271.4,275.1,278.6,273.1,270.0,269.5
06 Sendling,301.8,298.3,294.4,301.9,304.4,298.4,295.1,291.8
07 Sendling - Westpark,330.9,331.1,330.0,335.5,337.0,328.3,327.1,326.6
08 Schwanthalerhöhe,255.9,256.9,258.1,266.2,271.4,266.0,265.0,263.3
09 Neuhausen - Nymphenburg,320.9,321.5,316.0,323.4,326.0,318.8,315.1,312.4
10 Moosach,351.6,350.7,348.5,354.2,353.7,348.4,345.2,342.3
11 Milbertshofen - Am Hart,283.4,283.7,279.5,288.2,288.2,280.9,280.0,279.4
12 Schwabing - Freimann,323.4,322.1,320.3,324.1,327.5,318.8,324.7,323.9
13 Bogenhausen,411.1,405.2,398.3,397.8,397.6,386.6,384.6,380.4
14 Berg am Laim,327.5,323.2,321.7,326.0,328.2,322.7,321.4,321.7
15 Trudering - Riem,413.0,411.9,412.9,416.1,417.9,410.8,412.0,410.3
16 Ramersdorf - Perlach,340.8,339.2,337.2,343.0,343.7,337.0,336.1,334.9
17 Obergiesing - Fasangarten,297.3,296.1,295.3,305.0,307.5,298.7,297.3,291.4
18 Untergiesing - Harlaching,355.5,353.8,351.8,359.9,363.8,356.4,356.1,354.4
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,388.4,388.4,386.5,391.6,391.3,381.2,376.9,373.2
20 Hadern,369.9,370.5,369.5,378.8,376.3,366.1,365.2,367.2
21 Pasing - Obermenzing,392.3,394.0,388.2,390.4,392.8,383.9,379.9,380.8
22 Aubing - Lochhausen - Langwied,387.2,384.2,382.7,385.1,383.5,373.3,366.6,356.9
23 Allach - Untermenzing,448.3,447.8,440.7,453.8,449.4,434.2,438.9,439.7
24 Feldmoching - Hasenbergl,366.5,365.8,366.4,371.5,373.4,366.6,368.9,365.6
25 Laim,321.4,321.8,317.9,324.8,327.8,319.5,316.5,314.8
Which district had the largest decrease in the rate from 2017 to 2024, and what was that change (2024 minus 2017, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -30.7, "district": "13 Bogenhausen"}| Model | Answer given | |
|---|---|---|
| Gemma 4 | {"district": "Aubing - Lochhausen - Langwied", "change": -30.3} | ✗ wrong |
| Llama 3.3 | {"district": "Bogenhausen", "change": -30.7} | ✗ wrong |
| Qwen · off | {"district": "22 Aubing - Lochhausen - Langwied", "change": -30.3} | ✗ wrong |
| Qwen · on | {"district": "13 Bogenhausen", "change": -30.7} | ✓ correct |
development
munich-decrease-2017-2025
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2017,2018,2019,2020,2021,2022,2023,2024,2025
01 Altstadt - Lehel,351.3,353.1,348.2,353.1,355.3,350.7,348.5,345.1,345.8
02 Ludwigsvorstadt - Isarvorstadt,257.1,257.5,254.8,260.9,265.2,260.4,260.9,259.3,258.1
03 Maxvorstadt,275.3,273.4,266.8,276.0,275.2,265.4,264.7,259.9,259.0
04 Schwabing - West,298.1,297.8,294.7,300.5,303.9,296.1,293.0,290.0,286.5
05 Au - Haidhausen,275.7,275.0,271.4,275.1,278.6,273.1,270.0,269.5,270.0
06 Sendling,301.8,298.3,294.4,301.9,304.4,298.4,295.1,291.8,288.0
07 Sendling - Westpark,330.9,331.1,330.0,335.5,337.0,328.3,327.1,326.6,323.8
08 Schwanthalerhöhe,255.9,256.9,258.1,266.2,271.4,266.0,265.0,263.3,257.7
09 Neuhausen - Nymphenburg,320.9,321.5,316.0,323.4,326.0,318.8,315.1,312.4,310.6
10 Moosach,351.6,350.7,348.5,354.2,353.7,348.4,345.2,342.3,341.5
11 Milbertshofen - Am Hart,283.4,283.7,279.5,288.2,288.2,280.9,280.0,279.4,278.5
12 Schwabing - Freimann,323.4,322.1,320.3,324.1,327.5,318.8,324.7,323.9,326.5
13 Bogenhausen,411.1,405.2,398.3,397.8,397.6,386.6,384.6,380.4,380.4
14 Berg am Laim,327.5,323.2,321.7,326.0,328.2,322.7,321.4,321.7,322.7
15 Trudering - Riem,413.0,411.9,412.9,416.1,417.9,410.8,412.0,410.3,406.3
16 Ramersdorf - Perlach,340.8,339.2,337.2,343.0,343.7,337.0,336.1,334.9,333.6
17 Obergiesing - Fasangarten,297.3,296.1,295.3,305.0,307.5,298.7,297.3,291.4,289.7
18 Untergiesing - Harlaching,355.5,353.8,351.8,359.9,363.8,356.4,356.1,354.4,352.4
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,388.4,388.4,386.5,391.6,391.3,381.2,376.9,373.2,370.1
20 Hadern,369.9,370.5,369.5,378.8,376.3,366.1,365.2,367.2,365.3
21 Pasing - Obermenzing,392.3,394.0,388.2,390.4,392.8,383.9,379.9,380.8,382.2
22 Aubing - Lochhausen - Langwied,387.2,384.2,382.7,385.1,383.5,373.3,366.6,356.9,351.8
23 Allach - Untermenzing,448.3,447.8,440.7,453.8,449.4,434.2,438.9,439.7,441.6
24 Feldmoching - Hasenbergl,366.5,365.8,366.4,371.5,373.4,366.6,368.9,365.6,363.3
25 Laim,321.4,321.8,317.9,324.8,327.8,319.5,316.5,314.8,312.2
Which district had the largest decrease in the rate from 2017 to 2025, and what was that change (2025 minus 2017, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -35.4, "district": "22 Aubing - Lochhausen - Langwied"}development
munich-decrease-2018-2020
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2018,2019,2020
01 Altstadt - Lehel,353.1,348.2,353.1
02 Ludwigsvorstadt - Isarvorstadt,257.5,254.8,260.9
03 Maxvorstadt,273.4,266.8,276.0
04 Schwabing - West,297.8,294.7,300.5
05 Au - Haidhausen,275.0,271.4,275.1
06 Sendling,298.3,294.4,301.9
07 Sendling - Westpark,331.1,330.0,335.5
08 Schwanthalerhöhe,256.9,258.1,266.2
09 Neuhausen - Nymphenburg,321.5,316.0,323.4
10 Moosach,350.7,348.5,354.2
11 Milbertshofen - Am Hart,283.7,279.5,288.2
12 Schwabing - Freimann,322.1,320.3,324.1
13 Bogenhausen,405.2,398.3,397.8
14 Berg am Laim,323.2,321.7,326.0
15 Trudering - Riem,411.9,412.9,416.1
16 Ramersdorf - Perlach,339.2,337.2,343.0
17 Obergiesing - Fasangarten,296.1,295.3,305.0
18 Untergiesing - Harlaching,353.8,351.8,359.9
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,388.4,386.5,391.6
20 Hadern,370.5,369.5,378.8
21 Pasing - Obermenzing,394.0,388.2,390.4
22 Aubing - Lochhausen - Langwied,384.2,382.7,385.1
23 Allach - Untermenzing,447.8,440.7,453.8
24 Feldmoching - Hasenbergl,365.8,366.4,371.5
25 Laim,321.8,317.9,324.8
Which district had the largest decrease in the rate from 2018 to 2020, and what was that change (2020 minus 2018, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -7.4, "district": "13 Bogenhausen"}test
munich-decrease-2018-2021
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2018,2019,2020,2021
01 Altstadt - Lehel,353.1,348.2,353.1,355.3
02 Ludwigsvorstadt - Isarvorstadt,257.5,254.8,260.9,265.2
03 Maxvorstadt,273.4,266.8,276.0,275.2
04 Schwabing - West,297.8,294.7,300.5,303.9
05 Au - Haidhausen,275.0,271.4,275.1,278.6
06 Sendling,298.3,294.4,301.9,304.4
07 Sendling - Westpark,331.1,330.0,335.5,337.0
08 Schwanthalerhöhe,256.9,258.1,266.2,271.4
09 Neuhausen - Nymphenburg,321.5,316.0,323.4,326.0
10 Moosach,350.7,348.5,354.2,353.7
11 Milbertshofen - Am Hart,283.7,279.5,288.2,288.2
12 Schwabing - Freimann,322.1,320.3,324.1,327.5
13 Bogenhausen,405.2,398.3,397.8,397.6
14 Berg am Laim,323.2,321.7,326.0,328.2
15 Trudering - Riem,411.9,412.9,416.1,417.9
16 Ramersdorf - Perlach,339.2,337.2,343.0,343.7
17 Obergiesing - Fasangarten,296.1,295.3,305.0,307.5
18 Untergiesing - Harlaching,353.8,351.8,359.9,363.8
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,388.4,386.5,391.6,391.3
20 Hadern,370.5,369.5,378.8,376.3
21 Pasing - Obermenzing,394.0,388.2,390.4,392.8
22 Aubing - Lochhausen - Langwied,384.2,382.7,385.1,383.5
23 Allach - Untermenzing,447.8,440.7,453.8,449.4
24 Feldmoching - Hasenbergl,365.8,366.4,371.5,373.4
25 Laim,321.8,317.9,324.8,327.8
Which district had the largest decrease in the rate from 2018 to 2021, and what was that change (2021 minus 2018, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -7.6, "district": "13 Bogenhausen"}| Model | Answer given | |
|---|---|---|
| Gemma 4 | {"district": "23 Allach - Untermenzing", "change": -48.4} | ✗ wrong |
| Llama 3.3 | {"district": "13 Bogenhausen", "change": -7.6} | ✓ correct |
| Qwen · off | {"district": "13 Bogenhausen", "change": -7.6} | ✓ correct |
| Qwen · on | {"district": "13 Bogenhausen", "change": -7.6} | ✓ correct |
test
munich-decrease-2018-2022
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2018,2019,2020,2021,2022
01 Altstadt - Lehel,353.1,348.2,353.1,355.3,350.7
02 Ludwigsvorstadt - Isarvorstadt,257.5,254.8,260.9,265.2,260.4
03 Maxvorstadt,273.4,266.8,276.0,275.2,265.4
04 Schwabing - West,297.8,294.7,300.5,303.9,296.1
05 Au - Haidhausen,275.0,271.4,275.1,278.6,273.1
06 Sendling,298.3,294.4,301.9,304.4,298.4
07 Sendling - Westpark,331.1,330.0,335.5,337.0,328.3
08 Schwanthalerhöhe,256.9,258.1,266.2,271.4,266.0
09 Neuhausen - Nymphenburg,321.5,316.0,323.4,326.0,318.8
10 Moosach,350.7,348.5,354.2,353.7,348.4
11 Milbertshofen - Am Hart,283.7,279.5,288.2,288.2,280.9
12 Schwabing - Freimann,322.1,320.3,324.1,327.5,318.8
13 Bogenhausen,405.2,398.3,397.8,397.6,386.6
14 Berg am Laim,323.2,321.7,326.0,328.2,322.7
15 Trudering - Riem,411.9,412.9,416.1,417.9,410.8
16 Ramersdorf - Perlach,339.2,337.2,343.0,343.7,337.0
17 Obergiesing - Fasangarten,296.1,295.3,305.0,307.5,298.7
18 Untergiesing - Harlaching,353.8,351.8,359.9,363.8,356.4
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,388.4,386.5,391.6,391.3,381.2
20 Hadern,370.5,369.5,378.8,376.3,366.1
21 Pasing - Obermenzing,394.0,388.2,390.4,392.8,383.9
22 Aubing - Lochhausen - Langwied,384.2,382.7,385.1,383.5,373.3
23 Allach - Untermenzing,447.8,440.7,453.8,449.4,434.2
24 Feldmoching - Hasenbergl,365.8,366.4,371.5,373.4,366.6
25 Laim,321.8,317.9,324.8,327.8,319.5
Which district had the largest decrease in the rate from 2018 to 2022, and what was that change (2022 minus 2018, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -18.6, "district": "13 Bogenhausen"}| Model | Answer given | |
|---|---|---|
| Gemma 4 | {"district": "23 Allach - Untermenzing", "change": -13.6} | ✗ wrong |
| Llama 3.3 | {"district": "13 Bogenhausen", "change": -18.6} | ✓ correct |
| Qwen · off | {"district": "23 Allach - Untermenzing", "change": -13.6} | ✗ wrong |
| Qwen · on | {"district": "13 Bogenhausen", "change": -18.6} | ✓ correct |
development
munich-decrease-2018-2023
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2018,2019,2020,2021,2022,2023
01 Altstadt - Lehel,353.1,348.2,353.1,355.3,350.7,348.5
02 Ludwigsvorstadt - Isarvorstadt,257.5,254.8,260.9,265.2,260.4,260.9
03 Maxvorstadt,273.4,266.8,276.0,275.2,265.4,264.7
04 Schwabing - West,297.8,294.7,300.5,303.9,296.1,293.0
05 Au - Haidhausen,275.0,271.4,275.1,278.6,273.1,270.0
06 Sendling,298.3,294.4,301.9,304.4,298.4,295.1
07 Sendling - Westpark,331.1,330.0,335.5,337.0,328.3,327.1
08 Schwanthalerhöhe,256.9,258.1,266.2,271.4,266.0,265.0
09 Neuhausen - Nymphenburg,321.5,316.0,323.4,326.0,318.8,315.1
10 Moosach,350.7,348.5,354.2,353.7,348.4,345.2
11 Milbertshofen - Am Hart,283.7,279.5,288.2,288.2,280.9,280.0
12 Schwabing - Freimann,322.1,320.3,324.1,327.5,318.8,324.7
13 Bogenhausen,405.2,398.3,397.8,397.6,386.6,384.6
14 Berg am Laim,323.2,321.7,326.0,328.2,322.7,321.4
15 Trudering - Riem,411.9,412.9,416.1,417.9,410.8,412.0
16 Ramersdorf - Perlach,339.2,337.2,343.0,343.7,337.0,336.1
17 Obergiesing - Fasangarten,296.1,295.3,305.0,307.5,298.7,297.3
18 Untergiesing - Harlaching,353.8,351.8,359.9,363.8,356.4,356.1
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,388.4,386.5,391.6,391.3,381.2,376.9
20 Hadern,370.5,369.5,378.8,376.3,366.1,365.2
21 Pasing - Obermenzing,394.0,388.2,390.4,392.8,383.9,379.9
22 Aubing - Lochhausen - Langwied,384.2,382.7,385.1,383.5,373.3,366.6
23 Allach - Untermenzing,447.8,440.7,453.8,449.4,434.2,438.9
24 Feldmoching - Hasenbergl,365.8,366.4,371.5,373.4,366.6,368.9
25 Laim,321.8,317.9,324.8,327.8,319.5,316.5
Which district had the largest decrease in the rate from 2018 to 2023, and what was that change (2023 minus 2018, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -20.6, "district": "13 Bogenhausen"}test
munich-decrease-2018-2024
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2018,2019,2020,2021,2022,2023,2024
01 Altstadt - Lehel,353.1,348.2,353.1,355.3,350.7,348.5,345.1
02 Ludwigsvorstadt - Isarvorstadt,257.5,254.8,260.9,265.2,260.4,260.9,259.3
03 Maxvorstadt,273.4,266.8,276.0,275.2,265.4,264.7,259.9
04 Schwabing - West,297.8,294.7,300.5,303.9,296.1,293.0,290.0
05 Au - Haidhausen,275.0,271.4,275.1,278.6,273.1,270.0,269.5
06 Sendling,298.3,294.4,301.9,304.4,298.4,295.1,291.8
07 Sendling - Westpark,331.1,330.0,335.5,337.0,328.3,327.1,326.6
08 Schwanthalerhöhe,256.9,258.1,266.2,271.4,266.0,265.0,263.3
09 Neuhausen - Nymphenburg,321.5,316.0,323.4,326.0,318.8,315.1,312.4
10 Moosach,350.7,348.5,354.2,353.7,348.4,345.2,342.3
11 Milbertshofen - Am Hart,283.7,279.5,288.2,288.2,280.9,280.0,279.4
12 Schwabing - Freimann,322.1,320.3,324.1,327.5,318.8,324.7,323.9
13 Bogenhausen,405.2,398.3,397.8,397.6,386.6,384.6,380.4
14 Berg am Laim,323.2,321.7,326.0,328.2,322.7,321.4,321.7
15 Trudering - Riem,411.9,412.9,416.1,417.9,410.8,412.0,410.3
16 Ramersdorf - Perlach,339.2,337.2,343.0,343.7,337.0,336.1,334.9
17 Obergiesing - Fasangarten,296.1,295.3,305.0,307.5,298.7,297.3,291.4
18 Untergiesing - Harlaching,353.8,351.8,359.9,363.8,356.4,356.1,354.4
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,388.4,386.5,391.6,391.3,381.2,376.9,373.2
20 Hadern,370.5,369.5,378.8,376.3,366.1,365.2,367.2
21 Pasing - Obermenzing,394.0,388.2,390.4,392.8,383.9,379.9,380.8
22 Aubing - Lochhausen - Langwied,384.2,382.7,385.1,383.5,373.3,366.6,356.9
23 Allach - Untermenzing,447.8,440.7,453.8,449.4,434.2,438.9,439.7
24 Feldmoching - Hasenbergl,365.8,366.4,371.5,373.4,366.6,368.9,365.6
25 Laim,321.8,317.9,324.8,327.8,319.5,316.5,314.8
Which district had the largest decrease in the rate from 2018 to 2024, and what was that change (2024 minus 2018, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -27.3, "district": "22 Aubing - Lochhausen - Langwied"}| Model | Answer given | |
|---|---|---|
| Gemma 4 | {"district": "Aubing - Lochhausen - Langwied", "change": -27.3} | ✗ wrong |
| Llama 3.3 | {"district": "Aubing - Lochhausen - Langwied", "change": -27.3} | ✗ wrong |
| Qwen · off | {"district": "22 Aubing - Lochhausen - Langwied", "change": -27.3} | ✓ correct |
| Qwen · on | {"district": "Aubing - Lochhausen - Langwied", "change": -27.3} | ✗ wrong |
test
munich-decrease-2018-2025
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2018,2019,2020,2021,2022,2023,2024,2025
01 Altstadt - Lehel,353.1,348.2,353.1,355.3,350.7,348.5,345.1,345.8
02 Ludwigsvorstadt - Isarvorstadt,257.5,254.8,260.9,265.2,260.4,260.9,259.3,258.1
03 Maxvorstadt,273.4,266.8,276.0,275.2,265.4,264.7,259.9,259.0
04 Schwabing - West,297.8,294.7,300.5,303.9,296.1,293.0,290.0,286.5
05 Au - Haidhausen,275.0,271.4,275.1,278.6,273.1,270.0,269.5,270.0
06 Sendling,298.3,294.4,301.9,304.4,298.4,295.1,291.8,288.0
07 Sendling - Westpark,331.1,330.0,335.5,337.0,328.3,327.1,326.6,323.8
08 Schwanthalerhöhe,256.9,258.1,266.2,271.4,266.0,265.0,263.3,257.7
09 Neuhausen - Nymphenburg,321.5,316.0,323.4,326.0,318.8,315.1,312.4,310.6
10 Moosach,350.7,348.5,354.2,353.7,348.4,345.2,342.3,341.5
11 Milbertshofen - Am Hart,283.7,279.5,288.2,288.2,280.9,280.0,279.4,278.5
12 Schwabing - Freimann,322.1,320.3,324.1,327.5,318.8,324.7,323.9,326.5
13 Bogenhausen,405.2,398.3,397.8,397.6,386.6,384.6,380.4,380.4
14 Berg am Laim,323.2,321.7,326.0,328.2,322.7,321.4,321.7,322.7
15 Trudering - Riem,411.9,412.9,416.1,417.9,410.8,412.0,410.3,406.3
16 Ramersdorf - Perlach,339.2,337.2,343.0,343.7,337.0,336.1,334.9,333.6
17 Obergiesing - Fasangarten,296.1,295.3,305.0,307.5,298.7,297.3,291.4,289.7
18 Untergiesing - Harlaching,353.8,351.8,359.9,363.8,356.4,356.1,354.4,352.4
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,388.4,386.5,391.6,391.3,381.2,376.9,373.2,370.1
20 Hadern,370.5,369.5,378.8,376.3,366.1,365.2,367.2,365.3
21 Pasing - Obermenzing,394.0,388.2,390.4,392.8,383.9,379.9,380.8,382.2
22 Aubing - Lochhausen - Langwied,384.2,382.7,385.1,383.5,373.3,366.6,356.9,351.8
23 Allach - Untermenzing,447.8,440.7,453.8,449.4,434.2,438.9,439.7,441.6
24 Feldmoching - Hasenbergl,365.8,366.4,371.5,373.4,366.6,368.9,365.6,363.3
25 Laim,321.8,317.9,324.8,327.8,319.5,316.5,314.8,312.2
Which district had the largest decrease in the rate from 2018 to 2025, and what was that change (2025 minus 2018, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -32.4, "district": "22 Aubing - Lochhausen - Langwied"}| Model | Answer given | |
|---|---|---|
| Gemma 4 | {"district": "Aubing - Lochhausen - Langwied", "change": -32.4} | ✗ wrong |
| Llama 3.3 | {"district": "Aubing - Lochhausen - Langwied", "change": -32.4} | ✗ wrong |
| Qwen · off | {"district": "22 Aubing - Lochhausen - Langwied", "change": -32.4} | ✓ correct |
| Qwen · on | {"district": "Aubing - Lochhausen - Langwied", "change": -32.4} | ✗ wrong |
test
munich-decrease-2019-2021
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2019,2020,2021
01 Altstadt - Lehel,348.2,353.1,355.3
02 Ludwigsvorstadt - Isarvorstadt,254.8,260.9,265.2
03 Maxvorstadt,266.8,276.0,275.2
04 Schwabing - West,294.7,300.5,303.9
05 Au - Haidhausen,271.4,275.1,278.6
06 Sendling,294.4,301.9,304.4
07 Sendling - Westpark,330.0,335.5,337.0
08 Schwanthalerhöhe,258.1,266.2,271.4
09 Neuhausen - Nymphenburg,316.0,323.4,326.0
10 Moosach,348.5,354.2,353.7
11 Milbertshofen - Am Hart,279.5,288.2,288.2
12 Schwabing - Freimann,320.3,324.1,327.5
13 Bogenhausen,398.3,397.8,397.6
14 Berg am Laim,321.7,326.0,328.2
15 Trudering - Riem,412.9,416.1,417.9
16 Ramersdorf - Perlach,337.2,343.0,343.7
17 Obergiesing - Fasangarten,295.3,305.0,307.5
18 Untergiesing - Harlaching,351.8,359.9,363.8
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,386.5,391.6,391.3
20 Hadern,369.5,378.8,376.3
21 Pasing - Obermenzing,388.2,390.4,392.8
22 Aubing - Lochhausen - Langwied,382.7,385.1,383.5
23 Allach - Untermenzing,440.7,453.8,449.4
24 Feldmoching - Hasenbergl,366.4,371.5,373.4
25 Laim,317.9,324.8,327.8
Which district had the largest decrease in the rate from 2019 to 2021, and what was that change (2021 minus 2019, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -0.7, "district": "13 Bogenhausen"}| Model | Answer given | |
|---|---|---|
| Gemma 4 | {"district": "03 Maxvorstadt", "change": 8.4} | ✗ wrong |
| Llama 3.3 | {"district": "13 Bogenhausen", "change": -0.7} | ✓ correct |
| Qwen · off | {"district": "13 Bogenhausen", "change": -0.7} | ✓ correct |
| Qwen · on | {"district": "13 Bogenhausen", "change": -0.7} | ✓ correct |
test
munich-decrease-2019-2022
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2019,2020,2021,2022
01 Altstadt - Lehel,348.2,353.1,355.3,350.7
02 Ludwigsvorstadt - Isarvorstadt,254.8,260.9,265.2,260.4
03 Maxvorstadt,266.8,276.0,275.2,265.4
04 Schwabing - West,294.7,300.5,303.9,296.1
05 Au - Haidhausen,271.4,275.1,278.6,273.1
06 Sendling,294.4,301.9,304.4,298.4
07 Sendling - Westpark,330.0,335.5,337.0,328.3
08 Schwanthalerhöhe,258.1,266.2,271.4,266.0
09 Neuhausen - Nymphenburg,316.0,323.4,326.0,318.8
10 Moosach,348.5,354.2,353.7,348.4
11 Milbertshofen - Am Hart,279.5,288.2,288.2,280.9
12 Schwabing - Freimann,320.3,324.1,327.5,318.8
13 Bogenhausen,398.3,397.8,397.6,386.6
14 Berg am Laim,321.7,326.0,328.2,322.7
15 Trudering - Riem,412.9,416.1,417.9,410.8
16 Ramersdorf - Perlach,337.2,343.0,343.7,337.0
17 Obergiesing - Fasangarten,295.3,305.0,307.5,298.7
18 Untergiesing - Harlaching,351.8,359.9,363.8,356.4
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,386.5,391.6,391.3,381.2
20 Hadern,369.5,378.8,376.3,366.1
21 Pasing - Obermenzing,388.2,390.4,392.8,383.9
22 Aubing - Lochhausen - Langwied,382.7,385.1,383.5,373.3
23 Allach - Untermenzing,440.7,453.8,449.4,434.2
24 Feldmoching - Hasenbergl,366.4,371.5,373.4,366.6
25 Laim,317.9,324.8,327.8,319.5
Which district had the largest decrease in the rate from 2019 to 2022, and what was that change (2022 minus 2019, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -11.7, "district": "13 Bogenhausen"}| Model | Answer given | |
|---|---|---|
| Gemma 4 | {"district": "23 Allach - Untermenzing", "change": -6.5} | ✗ wrong |
| Llama 3.3 | {"district": "Allach - Untermenzing", "change": -6.5} | ✗ wrong |
| Qwen · off | {"district": "23 Allach - Untermenzing", "change": -6.5} | ✗ wrong |
| Qwen · on | {"district": "13 Bogenhausen", "change": -11.7} | ✓ correct |
development
munich-decrease-2019-2023
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2019,2020,2021,2022,2023
01 Altstadt - Lehel,348.2,353.1,355.3,350.7,348.5
02 Ludwigsvorstadt - Isarvorstadt,254.8,260.9,265.2,260.4,260.9
03 Maxvorstadt,266.8,276.0,275.2,265.4,264.7
04 Schwabing - West,294.7,300.5,303.9,296.1,293.0
05 Au - Haidhausen,271.4,275.1,278.6,273.1,270.0
06 Sendling,294.4,301.9,304.4,298.4,295.1
07 Sendling - Westpark,330.0,335.5,337.0,328.3,327.1
08 Schwanthalerhöhe,258.1,266.2,271.4,266.0,265.0
09 Neuhausen - Nymphenburg,316.0,323.4,326.0,318.8,315.1
10 Moosach,348.5,354.2,353.7,348.4,345.2
11 Milbertshofen - Am Hart,279.5,288.2,288.2,280.9,280.0
12 Schwabing - Freimann,320.3,324.1,327.5,318.8,324.7
13 Bogenhausen,398.3,397.8,397.6,386.6,384.6
14 Berg am Laim,321.7,326.0,328.2,322.7,321.4
15 Trudering - Riem,412.9,416.1,417.9,410.8,412.0
16 Ramersdorf - Perlach,337.2,343.0,343.7,337.0,336.1
17 Obergiesing - Fasangarten,295.3,305.0,307.5,298.7,297.3
18 Untergiesing - Harlaching,351.8,359.9,363.8,356.4,356.1
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,386.5,391.6,391.3,381.2,376.9
20 Hadern,369.5,378.8,376.3,366.1,365.2
21 Pasing - Obermenzing,388.2,390.4,392.8,383.9,379.9
22 Aubing - Lochhausen - Langwied,382.7,385.1,383.5,373.3,366.6
23 Allach - Untermenzing,440.7,453.8,449.4,434.2,438.9
24 Feldmoching - Hasenbergl,366.4,371.5,373.4,366.6,368.9
25 Laim,317.9,324.8,327.8,319.5,316.5
Which district had the largest decrease in the rate from 2019 to 2023, and what was that change (2023 minus 2019, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -16.1, "district": "22 Aubing - Lochhausen - Langwied"}development
munich-decrease-2019-2024
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2019,2020,2021,2022,2023,2024
01 Altstadt - Lehel,348.2,353.1,355.3,350.7,348.5,345.1
02 Ludwigsvorstadt - Isarvorstadt,254.8,260.9,265.2,260.4,260.9,259.3
03 Maxvorstadt,266.8,276.0,275.2,265.4,264.7,259.9
04 Schwabing - West,294.7,300.5,303.9,296.1,293.0,290.0
05 Au - Haidhausen,271.4,275.1,278.6,273.1,270.0,269.5
06 Sendling,294.4,301.9,304.4,298.4,295.1,291.8
07 Sendling - Westpark,330.0,335.5,337.0,328.3,327.1,326.6
08 Schwanthalerhöhe,258.1,266.2,271.4,266.0,265.0,263.3
09 Neuhausen - Nymphenburg,316.0,323.4,326.0,318.8,315.1,312.4
10 Moosach,348.5,354.2,353.7,348.4,345.2,342.3
11 Milbertshofen - Am Hart,279.5,288.2,288.2,280.9,280.0,279.4
12 Schwabing - Freimann,320.3,324.1,327.5,318.8,324.7,323.9
13 Bogenhausen,398.3,397.8,397.6,386.6,384.6,380.4
14 Berg am Laim,321.7,326.0,328.2,322.7,321.4,321.7
15 Trudering - Riem,412.9,416.1,417.9,410.8,412.0,410.3
16 Ramersdorf - Perlach,337.2,343.0,343.7,337.0,336.1,334.9
17 Obergiesing - Fasangarten,295.3,305.0,307.5,298.7,297.3,291.4
18 Untergiesing - Harlaching,351.8,359.9,363.8,356.4,356.1,354.4
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,386.5,391.6,391.3,381.2,376.9,373.2
20 Hadern,369.5,378.8,376.3,366.1,365.2,367.2
21 Pasing - Obermenzing,388.2,390.4,392.8,383.9,379.9,380.8
22 Aubing - Lochhausen - Langwied,382.7,385.1,383.5,373.3,366.6,356.9
23 Allach - Untermenzing,440.7,453.8,449.4,434.2,438.9,439.7
24 Feldmoching - Hasenbergl,366.4,371.5,373.4,366.6,368.9,365.6
25 Laim,317.9,324.8,327.8,319.5,316.5,314.8
Which district had the largest decrease in the rate from 2019 to 2024, and what was that change (2024 minus 2019, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -25.8, "district": "22 Aubing - Lochhausen - Langwied"}test
munich-decrease-2019-2025
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2019,2020,2021,2022,2023,2024,2025
01 Altstadt - Lehel,348.2,353.1,355.3,350.7,348.5,345.1,345.8
02 Ludwigsvorstadt - Isarvorstadt,254.8,260.9,265.2,260.4,260.9,259.3,258.1
03 Maxvorstadt,266.8,276.0,275.2,265.4,264.7,259.9,259.0
04 Schwabing - West,294.7,300.5,303.9,296.1,293.0,290.0,286.5
05 Au - Haidhausen,271.4,275.1,278.6,273.1,270.0,269.5,270.0
06 Sendling,294.4,301.9,304.4,298.4,295.1,291.8,288.0
07 Sendling - Westpark,330.0,335.5,337.0,328.3,327.1,326.6,323.8
08 Schwanthalerhöhe,258.1,266.2,271.4,266.0,265.0,263.3,257.7
09 Neuhausen - Nymphenburg,316.0,323.4,326.0,318.8,315.1,312.4,310.6
10 Moosach,348.5,354.2,353.7,348.4,345.2,342.3,341.5
11 Milbertshofen - Am Hart,279.5,288.2,288.2,280.9,280.0,279.4,278.5
12 Schwabing - Freimann,320.3,324.1,327.5,318.8,324.7,323.9,326.5
13 Bogenhausen,398.3,397.8,397.6,386.6,384.6,380.4,380.4
14 Berg am Laim,321.7,326.0,328.2,322.7,321.4,321.7,322.7
15 Trudering - Riem,412.9,416.1,417.9,410.8,412.0,410.3,406.3
16 Ramersdorf - Perlach,337.2,343.0,343.7,337.0,336.1,334.9,333.6
17 Obergiesing - Fasangarten,295.3,305.0,307.5,298.7,297.3,291.4,289.7
18 Untergiesing - Harlaching,351.8,359.9,363.8,356.4,356.1,354.4,352.4
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,386.5,391.6,391.3,381.2,376.9,373.2,370.1
20 Hadern,369.5,378.8,376.3,366.1,365.2,367.2,365.3
21 Pasing - Obermenzing,388.2,390.4,392.8,383.9,379.9,380.8,382.2
22 Aubing - Lochhausen - Langwied,382.7,385.1,383.5,373.3,366.6,356.9,351.8
23 Allach - Untermenzing,440.7,453.8,449.4,434.2,438.9,439.7,441.6
24 Feldmoching - Hasenbergl,366.4,371.5,373.4,366.6,368.9,365.6,363.3
25 Laim,317.9,324.8,327.8,319.5,316.5,314.8,312.2
Which district had the largest decrease in the rate from 2019 to 2025, and what was that change (2025 minus 2019, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -30.9, "district": "22 Aubing - Lochhausen - Langwied"}| Model | Answer given | |
|---|---|---|
| Gemma 4 | {"district": "Aubing - Lochhausen - Langwied", "change": -30.9} | ✗ wrong |
| Llama 3.3 | {"district": "Aubing - Lochhausen - Langwied", "change": -30.9} | ✗ wrong |
| Qwen · off | {"district": "22 Aubing - Lochhausen - Langwied", "change": -30.9} | ✓ correct |
| Qwen · on | {"district": "Aubing - Lochhausen - Langwied", "change": -30.9} | ✗ wrong |
test
munich-decrease-2020-2022
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2020,2021,2022
01 Altstadt - Lehel,353.1,355.3,350.7
02 Ludwigsvorstadt - Isarvorstadt,260.9,265.2,260.4
03 Maxvorstadt,276.0,275.2,265.4
04 Schwabing - West,300.5,303.9,296.1
05 Au - Haidhausen,275.1,278.6,273.1
06 Sendling,301.9,304.4,298.4
07 Sendling - Westpark,335.5,337.0,328.3
08 Schwanthalerhöhe,266.2,271.4,266.0
09 Neuhausen - Nymphenburg,323.4,326.0,318.8
10 Moosach,354.2,353.7,348.4
11 Milbertshofen - Am Hart,288.2,288.2,280.9
12 Schwabing - Freimann,324.1,327.5,318.8
13 Bogenhausen,397.8,397.6,386.6
14 Berg am Laim,326.0,328.2,322.7
15 Trudering - Riem,416.1,417.9,410.8
16 Ramersdorf - Perlach,343.0,343.7,337.0
17 Obergiesing - Fasangarten,305.0,307.5,298.7
18 Untergiesing - Harlaching,359.9,363.8,356.4
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,391.6,391.3,381.2
20 Hadern,378.8,376.3,366.1
21 Pasing - Obermenzing,390.4,392.8,383.9
22 Aubing - Lochhausen - Langwied,385.1,383.5,373.3
23 Allach - Untermenzing,453.8,449.4,434.2
24 Feldmoching - Hasenbergl,371.5,373.4,366.6
25 Laim,324.8,327.8,319.5
Which district had the largest decrease in the rate from 2020 to 2022, and what was that change (2022 minus 2020, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -19.6, "district": "23 Allach - Untermenzing"}| Model | Answer given | |
|---|---|---|
| Gemma 4 | {"district": "23 Allach - Untermenzing", "change": -19.6} | ✓ correct |
| Llama 3.3 | {"district": "Allach - Untermenzing", "change": -19.6} | ✗ wrong |
| Qwen · off | {"district": "23 Allach - Untermenzing", "change": -19.6} | ✓ correct |
| Qwen · on | {"district": "Allach - Untermenzing", "change": -19.6} | ✗ wrong |
test
munich-decrease-2020-2023
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2020,2021,2022,2023
01 Altstadt - Lehel,353.1,355.3,350.7,348.5
02 Ludwigsvorstadt - Isarvorstadt,260.9,265.2,260.4,260.9
03 Maxvorstadt,276.0,275.2,265.4,264.7
04 Schwabing - West,300.5,303.9,296.1,293.0
05 Au - Haidhausen,275.1,278.6,273.1,270.0
06 Sendling,301.9,304.4,298.4,295.1
07 Sendling - Westpark,335.5,337.0,328.3,327.1
08 Schwanthalerhöhe,266.2,271.4,266.0,265.0
09 Neuhausen - Nymphenburg,323.4,326.0,318.8,315.1
10 Moosach,354.2,353.7,348.4,345.2
11 Milbertshofen - Am Hart,288.2,288.2,280.9,280.0
12 Schwabing - Freimann,324.1,327.5,318.8,324.7
13 Bogenhausen,397.8,397.6,386.6,384.6
14 Berg am Laim,326.0,328.2,322.7,321.4
15 Trudering - Riem,416.1,417.9,410.8,412.0
16 Ramersdorf - Perlach,343.0,343.7,337.0,336.1
17 Obergiesing - Fasangarten,305.0,307.5,298.7,297.3
18 Untergiesing - Harlaching,359.9,363.8,356.4,356.1
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,391.6,391.3,381.2,376.9
20 Hadern,378.8,376.3,366.1,365.2
21 Pasing - Obermenzing,390.4,392.8,383.9,379.9
22 Aubing - Lochhausen - Langwied,385.1,383.5,373.3,366.6
23 Allach - Untermenzing,453.8,449.4,434.2,438.9
24 Feldmoching - Hasenbergl,371.5,373.4,366.6,368.9
25 Laim,324.8,327.8,319.5,316.5
Which district had the largest decrease in the rate from 2020 to 2023, and what was that change (2023 minus 2020, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -18.5, "district": "22 Aubing - Lochhausen - Langwied"}| Model | Answer given | |
|---|---|---|
| Gemma 4 | {"district": "23 Allach - Untermenzing", "change": -14.9} | ✗ wrong |
| Llama 3.3 | {"district": "Allach - Untermenzing", "change": -14.9} | ✗ wrong |
| Qwen · off | {"district": "23 Allach - Untermenzing", "change": -14.9} | ✗ wrong |
| Qwen · on | {"district": "Aubing - Lochhausen - Langwied", "change": -18.5} | ✗ wrong |
test
munich-decrease-2020-2024
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2020,2021,2022,2023,2024
01 Altstadt - Lehel,353.1,355.3,350.7,348.5,345.1
02 Ludwigsvorstadt - Isarvorstadt,260.9,265.2,260.4,260.9,259.3
03 Maxvorstadt,276.0,275.2,265.4,264.7,259.9
04 Schwabing - West,300.5,303.9,296.1,293.0,290.0
05 Au - Haidhausen,275.1,278.6,273.1,270.0,269.5
06 Sendling,301.9,304.4,298.4,295.1,291.8
07 Sendling - Westpark,335.5,337.0,328.3,327.1,326.6
08 Schwanthalerhöhe,266.2,271.4,266.0,265.0,263.3
09 Neuhausen - Nymphenburg,323.4,326.0,318.8,315.1,312.4
10 Moosach,354.2,353.7,348.4,345.2,342.3
11 Milbertshofen - Am Hart,288.2,288.2,280.9,280.0,279.4
12 Schwabing - Freimann,324.1,327.5,318.8,324.7,323.9
13 Bogenhausen,397.8,397.6,386.6,384.6,380.4
14 Berg am Laim,326.0,328.2,322.7,321.4,321.7
15 Trudering - Riem,416.1,417.9,410.8,412.0,410.3
16 Ramersdorf - Perlach,343.0,343.7,337.0,336.1,334.9
17 Obergiesing - Fasangarten,305.0,307.5,298.7,297.3,291.4
18 Untergiesing - Harlaching,359.9,363.8,356.4,356.1,354.4
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,391.6,391.3,381.2,376.9,373.2
20 Hadern,378.8,376.3,366.1,365.2,367.2
21 Pasing - Obermenzing,390.4,392.8,383.9,379.9,380.8
22 Aubing - Lochhausen - Langwied,385.1,383.5,373.3,366.6,356.9
23 Allach - Untermenzing,453.8,449.4,434.2,438.9,439.7
24 Feldmoching - Hasenbergl,371.5,373.4,366.6,368.9,365.6
25 Laim,324.8,327.8,319.5,316.5,314.8
Which district had the largest decrease in the rate from 2020 to 2024, and what was that change (2024 minus 2020, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -28.2, "district": "22 Aubing - Lochhausen - Langwied"}| Model | Answer given | |
|---|---|---|
| Gemma 4 | {"district": "Aubing - Lochhausen - Langwied", "change": -28.2} | ✗ wrong |
| Llama 3.3 | {"district": "Aubing - Lochhausen - Langwied", "change": -28.2} | ✗ wrong |
| Qwen · off | {"district": "22 Aubing - Lochhausen - Langwied", "change": -28.2} | ✓ correct |
| Qwen · on | {"district": "Aubing - Lochhausen - Langwied", "change": -28.2} | ✗ wrong |
test
munich-decrease-2020-2025
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2020,2021,2022,2023,2024,2025
01 Altstadt - Lehel,353.1,355.3,350.7,348.5,345.1,345.8
02 Ludwigsvorstadt - Isarvorstadt,260.9,265.2,260.4,260.9,259.3,258.1
03 Maxvorstadt,276.0,275.2,265.4,264.7,259.9,259.0
04 Schwabing - West,300.5,303.9,296.1,293.0,290.0,286.5
05 Au - Haidhausen,275.1,278.6,273.1,270.0,269.5,270.0
06 Sendling,301.9,304.4,298.4,295.1,291.8,288.0
07 Sendling - Westpark,335.5,337.0,328.3,327.1,326.6,323.8
08 Schwanthalerhöhe,266.2,271.4,266.0,265.0,263.3,257.7
09 Neuhausen - Nymphenburg,323.4,326.0,318.8,315.1,312.4,310.6
10 Moosach,354.2,353.7,348.4,345.2,342.3,341.5
11 Milbertshofen - Am Hart,288.2,288.2,280.9,280.0,279.4,278.5
12 Schwabing - Freimann,324.1,327.5,318.8,324.7,323.9,326.5
13 Bogenhausen,397.8,397.6,386.6,384.6,380.4,380.4
14 Berg am Laim,326.0,328.2,322.7,321.4,321.7,322.7
15 Trudering - Riem,416.1,417.9,410.8,412.0,410.3,406.3
16 Ramersdorf - Perlach,343.0,343.7,337.0,336.1,334.9,333.6
17 Obergiesing - Fasangarten,305.0,307.5,298.7,297.3,291.4,289.7
18 Untergiesing - Harlaching,359.9,363.8,356.4,356.1,354.4,352.4
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,391.6,391.3,381.2,376.9,373.2,370.1
20 Hadern,378.8,376.3,366.1,365.2,367.2,365.3
21 Pasing - Obermenzing,390.4,392.8,383.9,379.9,380.8,382.2
22 Aubing - Lochhausen - Langwied,385.1,383.5,373.3,366.6,356.9,351.8
23 Allach - Untermenzing,453.8,449.4,434.2,438.9,439.7,441.6
24 Feldmoching - Hasenbergl,371.5,373.4,366.6,368.9,365.6,363.3
25 Laim,324.8,327.8,319.5,316.5,314.8,312.2
Which district had the largest decrease in the rate from 2020 to 2025, and what was that change (2025 minus 2020, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -33.3, "district": "22 Aubing - Lochhausen - Langwied"}| Model | Answer given | |
|---|---|---|
| Gemma 4 | {"district": "Aubing - Lochhausen - Langwied", "change": -33.3} | ✗ wrong |
| Llama 3.3 | {"district": "22 Aubing - Lochhausen - Langwied", "change": -33.3} | ✓ correct |
| Qwen · off | {"district": "22 Aubing - Lochhausen - Langwied", "change": -33.3} | ✓ correct |
| Qwen · on | {"district": "Aubing - Lochhausen - Langwied", "change": -33.3} | ✗ wrong |
test
munich-decrease-2021-2023
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2021,2022,2023
01 Altstadt - Lehel,355.3,350.7,348.5
02 Ludwigsvorstadt - Isarvorstadt,265.2,260.4,260.9
03 Maxvorstadt,275.2,265.4,264.7
04 Schwabing - West,303.9,296.1,293.0
05 Au - Haidhausen,278.6,273.1,270.0
06 Sendling,304.4,298.4,295.1
07 Sendling - Westpark,337.0,328.3,327.1
08 Schwanthalerhöhe,271.4,266.0,265.0
09 Neuhausen - Nymphenburg,326.0,318.8,315.1
10 Moosach,353.7,348.4,345.2
11 Milbertshofen - Am Hart,288.2,280.9,280.0
12 Schwabing - Freimann,327.5,318.8,324.7
13 Bogenhausen,397.6,386.6,384.6
14 Berg am Laim,328.2,322.7,321.4
15 Trudering - Riem,417.9,410.8,412.0
16 Ramersdorf - Perlach,343.7,337.0,336.1
17 Obergiesing - Fasangarten,307.5,298.7,297.3
18 Untergiesing - Harlaching,363.8,356.4,356.1
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,391.3,381.2,376.9
20 Hadern,376.3,366.1,365.2
21 Pasing - Obermenzing,392.8,383.9,379.9
22 Aubing - Lochhausen - Langwied,383.5,373.3,366.6
23 Allach - Untermenzing,449.4,434.2,438.9
24 Feldmoching - Hasenbergl,373.4,366.6,368.9
25 Laim,327.8,319.5,316.5
Which district had the largest decrease in the rate from 2021 to 2023, and what was that change (2023 minus 2021, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -16.9, "district": "22 Aubing - Lochhausen - Langwied"}| Model | Answer given | |
|---|---|---|
| Gemma 4 | {"district": "23 Allach - Untermenzing", "change": -10.5} | ✗ wrong |
| Llama 3.3 | {"district": "Trudering - Riem", "change": -5.9} | ✗ wrong |
| Qwen · off | {"district": "23 Allach - Untermenzing", "change": -10.5} | ✗ wrong |
| Qwen · on | {"district": "Aubing - Lochhausen - Langwied", "change": -16.9} | ✗ wrong |
test
munich-decrease-2021-2024
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2021,2022,2023,2024
01 Altstadt - Lehel,355.3,350.7,348.5,345.1
02 Ludwigsvorstadt - Isarvorstadt,265.2,260.4,260.9,259.3
03 Maxvorstadt,275.2,265.4,264.7,259.9
04 Schwabing - West,303.9,296.1,293.0,290.0
05 Au - Haidhausen,278.6,273.1,270.0,269.5
06 Sendling,304.4,298.4,295.1,291.8
07 Sendling - Westpark,337.0,328.3,327.1,326.6
08 Schwanthalerhöhe,271.4,266.0,265.0,263.3
09 Neuhausen - Nymphenburg,326.0,318.8,315.1,312.4
10 Moosach,353.7,348.4,345.2,342.3
11 Milbertshofen - Am Hart,288.2,280.9,280.0,279.4
12 Schwabing - Freimann,327.5,318.8,324.7,323.9
13 Bogenhausen,397.6,386.6,384.6,380.4
14 Berg am Laim,328.2,322.7,321.4,321.7
15 Trudering - Riem,417.9,410.8,412.0,410.3
16 Ramersdorf - Perlach,343.7,337.0,336.1,334.9
17 Obergiesing - Fasangarten,307.5,298.7,297.3,291.4
18 Untergiesing - Harlaching,363.8,356.4,356.1,354.4
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,391.3,381.2,376.9,373.2
20 Hadern,376.3,366.1,365.2,367.2
21 Pasing - Obermenzing,392.8,383.9,379.9,380.8
22 Aubing - Lochhausen - Langwied,383.5,373.3,366.6,356.9
23 Allach - Untermenzing,449.4,434.2,438.9,439.7
24 Feldmoching - Hasenbergl,373.4,366.6,368.9,365.6
25 Laim,327.8,319.5,316.5,314.8
Which district had the largest decrease in the rate from 2021 to 2024, and what was that change (2024 minus 2021, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -26.6, "district": "22 Aubing - Lochhausen - Langwied"}| Model | Answer given | |
|---|---|---|
| Gemma 4 | {"district": "22 Aubing - Lochhausen - Langwied", "change": -26.6} | ✓ correct |
| Llama 3.3 | {"district": "Aubing - Lochhausen - Langwied", "change": -26.6} | ✗ wrong |
| Qwen · off | {"district": "23 Allach - Untermenzing", "change": -9.7} | ✗ wrong |
| Qwen · on | {"district": "Aubing - Lochhausen - Langwied", "change": -26.6} | ✗ wrong |
test
munich-decrease-2021-2025
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2021,2022,2023,2024,2025
01 Altstadt - Lehel,355.3,350.7,348.5,345.1,345.8
02 Ludwigsvorstadt - Isarvorstadt,265.2,260.4,260.9,259.3,258.1
03 Maxvorstadt,275.2,265.4,264.7,259.9,259.0
04 Schwabing - West,303.9,296.1,293.0,290.0,286.5
05 Au - Haidhausen,278.6,273.1,270.0,269.5,270.0
06 Sendling,304.4,298.4,295.1,291.8,288.0
07 Sendling - Westpark,337.0,328.3,327.1,326.6,323.8
08 Schwanthalerhöhe,271.4,266.0,265.0,263.3,257.7
09 Neuhausen - Nymphenburg,326.0,318.8,315.1,312.4,310.6
10 Moosach,353.7,348.4,345.2,342.3,341.5
11 Milbertshofen - Am Hart,288.2,280.9,280.0,279.4,278.5
12 Schwabing - Freimann,327.5,318.8,324.7,323.9,326.5
13 Bogenhausen,397.6,386.6,384.6,380.4,380.4
14 Berg am Laim,328.2,322.7,321.4,321.7,322.7
15 Trudering - Riem,417.9,410.8,412.0,410.3,406.3
16 Ramersdorf - Perlach,343.7,337.0,336.1,334.9,333.6
17 Obergiesing - Fasangarten,307.5,298.7,297.3,291.4,289.7
18 Untergiesing - Harlaching,363.8,356.4,356.1,354.4,352.4
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,391.3,381.2,376.9,373.2,370.1
20 Hadern,376.3,366.1,365.2,367.2,365.3
21 Pasing - Obermenzing,392.8,383.9,379.9,380.8,382.2
22 Aubing - Lochhausen - Langwied,383.5,373.3,366.6,356.9,351.8
23 Allach - Untermenzing,449.4,434.2,438.9,439.7,441.6
24 Feldmoching - Hasenbergl,373.4,366.6,368.9,365.6,363.3
25 Laim,327.8,319.5,316.5,314.8,312.2
Which district had the largest decrease in the rate from 2021 to 2025, and what was that change (2025 minus 2021, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -31.7, "district": "22 Aubing - Lochhausen - Langwied"}| Model | Answer given | |
|---|---|---|
| Gemma 4 | {"district": "22 Aubing - Lochhausen - Langwied", "change": -31.7} | ✓ correct |
| Llama 3.3 | {"district": "Trudering - Riem", "change": -11.6} | ✗ wrong |
| Qwen · off | {"district": "23 Allach - Untermenzing", "change": -7.8} | ✗ wrong |
| Qwen · on | {"district": "Aubing - Lochhausen - Langwied", "change": -31.7} | ✗ wrong |
test
munich-decrease-2022-2024
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2022,2023,2024
01 Altstadt - Lehel,350.7,348.5,345.1
02 Ludwigsvorstadt - Isarvorstadt,260.4,260.9,259.3
03 Maxvorstadt,265.4,264.7,259.9
04 Schwabing - West,296.1,293.0,290.0
05 Au - Haidhausen,273.1,270.0,269.5
06 Sendling,298.4,295.1,291.8
07 Sendling - Westpark,328.3,327.1,326.6
08 Schwanthalerhöhe,266.0,265.0,263.3
09 Neuhausen - Nymphenburg,318.8,315.1,312.4
10 Moosach,348.4,345.2,342.3
11 Milbertshofen - Am Hart,280.9,280.0,279.4
12 Schwabing - Freimann,318.8,324.7,323.9
13 Bogenhausen,386.6,384.6,380.4
14 Berg am Laim,322.7,321.4,321.7
15 Trudering - Riem,410.8,412.0,410.3
16 Ramersdorf - Perlach,337.0,336.1,334.9
17 Obergiesing - Fasangarten,298.7,297.3,291.4
18 Untergiesing - Harlaching,356.4,356.1,354.4
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,381.2,376.9,373.2
20 Hadern,366.1,365.2,367.2
21 Pasing - Obermenzing,383.9,379.9,380.8
22 Aubing - Lochhausen - Langwied,373.3,366.6,356.9
23 Allach - Untermenzing,434.2,438.9,439.7
24 Feldmoching - Hasenbergl,366.6,368.9,365.6
25 Laim,319.5,316.5,314.8
Which district had the largest decrease in the rate from 2022 to 2024, and what was that change (2024 minus 2022, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -16.4, "district": "22 Aubing - Lochhausen - Langwied"}| Model | Answer given | |
|---|---|---|
| Gemma 4 | {"district": "Aubing - Lochhausen - Langwied", "change": -16.4} | ✗ wrong |
| Llama 3.3 | {"district": "Aubing - Lochhausen - Langwied", "change": -16.4} | ✗ wrong |
| Qwen · off | {"district": "22 Aubing - Lochhausen - Langwied", "change": -16.4} | ✓ correct |
| Qwen · on | {"district": "Aubing - Lochhausen - Langwied", "change": -16.4} | ✗ wrong |
test
munich-decrease-2022-2025
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2022,2023,2024,2025
01 Altstadt - Lehel,350.7,348.5,345.1,345.8
02 Ludwigsvorstadt - Isarvorstadt,260.4,260.9,259.3,258.1
03 Maxvorstadt,265.4,264.7,259.9,259.0
04 Schwabing - West,296.1,293.0,290.0,286.5
05 Au - Haidhausen,273.1,270.0,269.5,270.0
06 Sendling,298.4,295.1,291.8,288.0
07 Sendling - Westpark,328.3,327.1,326.6,323.8
08 Schwanthalerhöhe,266.0,265.0,263.3,257.7
09 Neuhausen - Nymphenburg,318.8,315.1,312.4,310.6
10 Moosach,348.4,345.2,342.3,341.5
11 Milbertshofen - Am Hart,280.9,280.0,279.4,278.5
12 Schwabing - Freimann,318.8,324.7,323.9,326.5
13 Bogenhausen,386.6,384.6,380.4,380.4
14 Berg am Laim,322.7,321.4,321.7,322.7
15 Trudering - Riem,410.8,412.0,410.3,406.3
16 Ramersdorf - Perlach,337.0,336.1,334.9,333.6
17 Obergiesing - Fasangarten,298.7,297.3,291.4,289.7
18 Untergiesing - Harlaching,356.4,356.1,354.4,352.4
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,381.2,376.9,373.2,370.1
20 Hadern,366.1,365.2,367.2,365.3
21 Pasing - Obermenzing,383.9,379.9,380.8,382.2
22 Aubing - Lochhausen - Langwied,373.3,366.6,356.9,351.8
23 Allach - Untermenzing,434.2,438.9,439.7,441.6
24 Feldmoching - Hasenbergl,366.6,368.9,365.6,363.3
25 Laim,319.5,316.5,314.8,312.2
Which district had the largest decrease in the rate from 2022 to 2025, and what was that change (2025 minus 2022, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -21.5, "district": "22 Aubing - Lochhausen - Langwied"}| Model | Answer given | |
|---|---|---|
| Gemma 4 | {"district": "Aubing - Lochhausen - Langwied", "change": -21.5} | ✗ wrong |
| Llama 3.3 | {"district": "Aubing - Lochhausen - Langwied", "change": -21.5} | ✗ wrong |
| Qwen · off | {"district": "22 Aubing - Lochhausen - Langwied", "change": -21.5} | ✓ correct |
| Qwen · on | {"district": "Aubing - Lochhausen - Langwied", "change": -21.5} | ✗ wrong |
development
munich-decrease-2023-2025
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate (registered private cars per 1,000 main-residence inhabitants) by district and year. Use only the table below.
district,2023,2024,2025
01 Altstadt - Lehel,348.5,345.1,345.8
02 Ludwigsvorstadt - Isarvorstadt,260.9,259.3,258.1
03 Maxvorstadt,264.7,259.9,259.0
04 Schwabing - West,293.0,290.0,286.5
05 Au - Haidhausen,270.0,269.5,270.0
06 Sendling,295.1,291.8,288.0
07 Sendling - Westpark,327.1,326.6,323.8
08 Schwanthalerhöhe,265.0,263.3,257.7
09 Neuhausen - Nymphenburg,315.1,312.4,310.6
10 Moosach,345.2,342.3,341.5
11 Milbertshofen - Am Hart,280.0,279.4,278.5
12 Schwabing - Freimann,324.7,323.9,326.5
13 Bogenhausen,384.6,380.4,380.4
14 Berg am Laim,321.4,321.7,322.7
15 Trudering - Riem,412.0,410.3,406.3
16 Ramersdorf - Perlach,336.1,334.9,333.6
17 Obergiesing - Fasangarten,297.3,291.4,289.7
18 Untergiesing - Harlaching,356.1,354.4,352.4
19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,376.9,373.2,370.1
20 Hadern,365.2,367.2,365.3
21 Pasing - Obermenzing,379.9,380.8,382.2
22 Aubing - Lochhausen - Langwied,366.6,356.9,351.8
23 Allach - Untermenzing,438.9,439.7,441.6
24 Feldmoching - Hasenbergl,368.9,365.6,363.3
25 Laim,316.5,314.8,312.2
Which district had the largest decrease in the rate from 2023 to 2025, and what was that change (2025 minus 2023, negative for a decrease)? Return only a JSON object {"district": "<name exactly as in the table>", "change": <number rounded to one decimal>}.Correct answer:
{"change": -14.8, "district": "22 Aubing - Lochhausen - Langwied"}test
munich-above-2005
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate by district. Use only the table below. district,2005 01 Altstadt - Lehel,382.1 02 Ludwigsvorstadt - Isarvorstadt,283.8 03 Maxvorstadt,309.2 04 Schwabing - West,330.9 05 Au - Haidhausen,297.3 06 Sendling,326.5 07 Sendling - Westpark,355.3 08 Schwanthalerhöhe,268.9 09 Neuhausen - Nymphenburg,345.2 10 Moosach,372.4 11 Milbertshofen - Am Hart,302.8 12 Schwabing - Freimann,354.2 13 Bogenhausen,431.9 14 Berg am Laim,346.1 15 Trudering - Riem,441.7 16 Ramersdorf - Perlach,357.9 17 Obergiesing - Fasangarten,313.0 18 Untergiesing - Harlaching,374.1 19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,416.8 20 Hadern,385.2 21 Pasing - Obermenzing,400.9 22 Aubing - Lochhausen - Langwied,402.0 23 Allach - Untermenzing,444.5 24 Feldmoching - Hasenbergl,361.2 25 Laim,349.8 The city-wide value in 2005 is 360.4. How many districts had a rate strictly above the city-wide value? Return only a JSON integer.
Correct answer:
11| Model | Answer given | |
|---|---|---|
| Gemma 4 | 13 | ✗ wrong |
| Llama 3.3 | 13 | ✗ wrong |
| Qwen · off | {"count": 12} | ✗ wrong |
| Qwen · on | 11 | ✓ correct |
test
munich-above-2006
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate by district. Use only the table below. district,2006 01 Altstadt - Lehel,380.4 02 Ludwigsvorstadt - Isarvorstadt,271.5 03 Maxvorstadt,284.5 04 Schwabing - West,315.2 05 Au - Haidhausen,285.9 06 Sendling,317.0 07 Sendling - Westpark,347.5 08 Schwanthalerhöhe,264.6 09 Neuhausen - Nymphenburg,335.9 10 Moosach,366.2 11 Milbertshofen - Am Hart,292.3 12 Schwabing - Freimann,342.8 13 Bogenhausen,422.7 14 Berg am Laim,340.5 15 Trudering - Riem,429.2 16 Ramersdorf - Perlach,353.7 17 Obergiesing - Fasangarten,302.6 18 Untergiesing - Harlaching,363.5 19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,411.0 20 Hadern,377.3 21 Pasing - Obermenzing,395.3 22 Aubing - Lochhausen - Langwied,400.9 23 Allach - Untermenzing,444.2 24 Feldmoching - Hasenbergl,356.4 25 Laim,341.7 The city-wide value in 2006 is 351.4. How many districts had a rate strictly above the city-wide value? Return only a JSON integer.
Correct answer:
12| Model | Answer given | |
|---|---|---|
| Gemma 4 | 13 | ✗ wrong |
| Llama 3.3 | 13 | ✗ wrong |
| Qwen · off | {"count": 12} | ✓ correct |
| Qwen · on | 12 | ✓ correct |
test
munich-above-2007
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate by district. Use only the table below. district,2007 01 Altstadt - Lehel,370.9 02 Ludwigsvorstadt - Isarvorstadt,263.8 03 Maxvorstadt,275.0 04 Schwabing - West,305.8 05 Au - Haidhausen,279.0 06 Sendling,308.2 07 Sendling - Westpark,340.7 08 Schwanthalerhöhe,254.2 09 Neuhausen - Nymphenburg,328.6 10 Moosach,358.5 11 Milbertshofen - Am Hart,286.5 12 Schwabing - Freimann,334.9 13 Bogenhausen,417.2 14 Berg am Laim,330.7 15 Trudering - Riem,418.6 16 Ramersdorf - Perlach,346.9 17 Obergiesing - Fasangarten,294.7 18 Untergiesing - Harlaching,354.8 19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,404.1 20 Hadern,367.4 21 Pasing - Obermenzing,389.3 22 Aubing - Lochhausen - Langwied,397.3 23 Allach - Untermenzing,440.5 24 Feldmoching - Hasenbergl,347.8 25 Laim,334.6 The city-wide value in 2007 is 343.8. How many districts had a rate strictly above the city-wide value? Return only a JSON integer.
Correct answer:
12| Model | Answer given | |
|---|---|---|
| Gemma 4 | 11 | ✗ wrong |
| Llama 3.3 | {"count": 11} | ✗ wrong |
| Qwen · off | {"count": 12} | ✓ correct |
| Qwen · on | 12 | ✓ correct |
test
munich-above-2008
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate by district. Use only the table below. district,2008 01 Altstadt - Lehel,367.1 02 Ludwigsvorstadt - Isarvorstadt,261.4 03 Maxvorstadt,271.7 04 Schwabing - West,305.2 05 Au - Haidhausen,276.5 06 Sendling,303.6 07 Sendling - Westpark,338.1 08 Schwanthalerhöhe,248.6 09 Neuhausen - Nymphenburg,326.2 10 Moosach,357.6 11 Milbertshofen - Am Hart,285.7 12 Schwabing - Freimann,333.3 13 Bogenhausen,416.0 14 Berg am Laim,325.3 15 Trudering - Riem,412.0 16 Ramersdorf - Perlach,344.7 17 Obergiesing - Fasangarten,290.0 18 Untergiesing - Harlaching,350.9 19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,403.5 20 Hadern,365.0 21 Pasing - Obermenzing,391.1 22 Aubing - Lochhausen - Langwied,396.0 23 Allach - Untermenzing,439.5 24 Feldmoching - Hasenbergl,350.2 25 Laim,332.0 The city-wide value in 2008 is 341.7. How many districts had a rate strictly above the city-wide value? Return only a JSON integer.
Correct answer:
12| Model | Answer given | |
|---|---|---|
| Gemma 4 | 11 | ✗ wrong |
| Llama 3.3 | 13 | ✗ wrong |
| Qwen · off | {"count": 12} | ✓ correct |
| Qwen · on | 12 | ✓ correct |
test
munich-above-2009
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate by district. Use only the table below. district,2009 01 Altstadt - Lehel,379.3 02 Ludwigsvorstadt - Isarvorstadt,272.2 03 Maxvorstadt,278.0 04 Schwabing - West,312.2 05 Au - Haidhausen,279.0 06 Sendling,310.7 07 Sendling - Westpark,343.8 08 Schwanthalerhöhe,256.8 09 Neuhausen - Nymphenburg,330.9 10 Moosach,359.0 11 Milbertshofen - Am Hart,287.3 12 Schwabing - Freimann,342.9 13 Bogenhausen,424.9 14 Berg am Laim,331.6 15 Trudering - Riem,416.3 16 Ramersdorf - Perlach,350.0 17 Obergiesing - Fasangarten,293.6 18 Untergiesing - Harlaching,357.3 19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,408.9 20 Hadern,370.4 21 Pasing - Obermenzing,398.0 22 Aubing - Lochhausen - Langwied,402.3 23 Allach - Untermenzing,451.3 24 Feldmoching - Hasenbergl,360.6 25 Laim,336.7 The city-wide value in 2009 is 348.0. How many districts had a rate strictly above the city-wide value? Return only a JSON integer.
Correct answer:
12| Model | Answer given | |
|---|---|---|
| Gemma 4 | 13 | ✗ wrong |
| Llama 3.3 | 13 | ✗ wrong |
| Qwen · off | {"count": 12} | ✓ correct |
| Qwen · on | 12 | ✓ correct |
development
munich-above-2010
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate by district. Use only the table below. district,2010 01 Altstadt - Lehel,374.9 02 Ludwigsvorstadt - Isarvorstadt,272.2 03 Maxvorstadt,278.5 04 Schwabing - West,311.8 05 Au - Haidhausen,280.3 06 Sendling,311.9 07 Sendling - Westpark,342.4 08 Schwanthalerhöhe,257.3 09 Neuhausen - Nymphenburg,330.6 10 Moosach,363.9 11 Milbertshofen - Am Hart,285.2 12 Schwabing - Freimann,342.3 13 Bogenhausen,425.0 14 Berg am Laim,328.9 15 Trudering - Riem,415.0 16 Ramersdorf - Perlach,350.1 17 Obergiesing - Fasangarten,290.8 18 Untergiesing - Harlaching,357.6 19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,408.4 20 Hadern,372.0 21 Pasing - Obermenzing,398.2 22 Aubing - Lochhausen - Langwied,402.3 23 Allach - Untermenzing,450.2 24 Feldmoching - Hasenbergl,361.1 25 Laim,337.5 The city-wide value in 2010 is 347.9. How many districts had a rate strictly above the city-wide value? Return only a JSON integer.
Correct answer:
12test
munich-above-2011
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate by district. Use only the table below. district,2011 01 Altstadt - Lehel,367.7 02 Ludwigsvorstadt - Isarvorstadt,269.2 03 Maxvorstadt,275.8 04 Schwabing - West,310.8 05 Au - Haidhausen,280.1 06 Sendling,310.2 07 Sendling - Westpark,341.4 08 Schwanthalerhöhe,252.3 09 Neuhausen - Nymphenburg,328.3 10 Moosach,358.0 11 Milbertshofen - Am Hart,284.1 12 Schwabing - Freimann,341.4 13 Bogenhausen,420.0 14 Berg am Laim,327.8 15 Trudering - Riem,411.0 16 Ramersdorf - Perlach,349.6 17 Obergiesing - Fasangarten,288.9 18 Untergiesing - Harlaching,356.7 19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,402.2 20 Hadern,371.0 21 Pasing - Obermenzing,394.0 22 Aubing - Lochhausen - Langwied,400.6 23 Allach - Untermenzing,453.9 24 Feldmoching - Hasenbergl,360.8 25 Laim,333.5 The city-wide value in 2011 is 345.5. How many districts had a rate strictly above the city-wide value? Return only a JSON integer.
Correct answer:
12| Model | Answer given | |
|---|---|---|
| Gemma 4 | 11 | ✗ wrong |
| Llama 3.3 | 13 | ✗ wrong |
| Qwen · off | {"count": 12} | ✓ correct |
| Qwen · on | 12 | ✓ correct |
test
munich-above-2012
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate by district. Use only the table below. district,2012 01 Altstadt - Lehel,364.8 02 Ludwigsvorstadt - Isarvorstadt,262.4 03 Maxvorstadt,272.2 04 Schwabing - West,306.9 05 Au - Haidhausen,275.4 06 Sendling,306.1 07 Sendling - Westpark,337.0 08 Schwanthalerhöhe,251.0 09 Neuhausen - Nymphenburg,325.0 10 Moosach,354.9 11 Milbertshofen - Am Hart,279.5 12 Schwabing - Freimann,336.4 13 Bogenhausen,415.2 14 Berg am Laim,326.0 15 Trudering - Riem,414.4 16 Ramersdorf - Perlach,347.4 17 Obergiesing - Fasangarten,288.5 18 Untergiesing - Harlaching,353.9 19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,398.3 20 Hadern,369.2 21 Pasing - Obermenzing,391.8 22 Aubing - Lochhausen - Langwied,394.7 23 Allach - Untermenzing,451.6 24 Feldmoching - Hasenbergl,359.3 25 Laim,329.3 The city-wide value in 2012 is 342.3. How many districts had a rate strictly above the city-wide value? Return only a JSON integer.
Correct answer:
12| Model | Answer given | |
|---|---|---|
| Gemma 4 | 13 | ✗ wrong |
| Llama 3.3 | 13 | ✗ wrong |
| Qwen · off | {"count": 12} | ✓ correct |
| Qwen · on | APITimeoutError | ✗ no usable answer |
test
munich-above-2013
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate by district. Use only the table below. district,2013 01 Altstadt - Lehel,352.6 02 Ludwigsvorstadt - Isarvorstadt,256.3 03 Maxvorstadt,270.6 04 Schwabing - West,303.3 05 Au - Haidhausen,272.4 06 Sendling,302.4 07 Sendling - Westpark,336.8 08 Schwanthalerhöhe,250.8 09 Neuhausen - Nymphenburg,323.3 10 Moosach,350.5 11 Milbertshofen - Am Hart,276.8 12 Schwabing - Freimann,333.7 13 Bogenhausen,412.9 14 Berg am Laim,326.3 15 Trudering - Riem,413.6 16 Ramersdorf - Perlach,345.7 17 Obergiesing - Fasangarten,288.8 18 Untergiesing - Harlaching,348.4 19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,388.0 20 Hadern,363.0 21 Pasing - Obermenzing,389.3 22 Aubing - Lochhausen - Langwied,393.1 23 Allach - Untermenzing,454.1 24 Feldmoching - Hasenbergl,356.1 25 Laim,326.9 The city-wide value in 2013 is 339.5. How many districts had a rate strictly above the city-wide value? Return only a JSON integer.
Correct answer:
12| Model | Answer given | |
|---|---|---|
| Gemma 4 | 12 | ✓ correct |
| Llama 3.3 | 13 | ✗ wrong |
| Qwen · off | {"count": 12} | ✓ correct |
| Qwen · on | 12 | ✓ correct |
test
munich-above-2014
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate by district. Use only the table below. district,2014 01 Altstadt - Lehel,353.8 02 Ludwigsvorstadt - Isarvorstadt,249.3 03 Maxvorstadt,269.0 04 Schwabing - West,299.7 05 Au - Haidhausen,270.5 06 Sendling,299.3 07 Sendling - Westpark,332.0 08 Schwanthalerhöhe,248.6 09 Neuhausen - Nymphenburg,320.4 10 Moosach,348.5 11 Milbertshofen - Am Hart,275.7 12 Schwabing - Freimann,327.1 13 Bogenhausen,409.9 14 Berg am Laim,324.9 15 Trudering - Riem,412.9 16 Ramersdorf - Perlach,342.1 17 Obergiesing - Fasangarten,287.7 18 Untergiesing - Harlaching,345.6 19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,391.6 20 Hadern,363.7 21 Pasing - Obermenzing,387.0 22 Aubing - Lochhausen - Langwied,393.8 23 Allach - Untermenzing,451.9 24 Feldmoching - Hasenbergl,356.8 25 Laim,323.8 The city-wide value in 2014 is 337.3. How many districts had a rate strictly above the city-wide value? Return only a JSON integer.
Correct answer:
12| Model | Answer given | |
|---|---|---|
| Gemma 4 | 13 | ✗ wrong |
| Llama 3.3 | 13 | ✗ wrong |
| Qwen · off | {"count": 12} | ✓ correct |
| Qwen · on | 12 | ✓ correct |
development
munich-above-2015
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate by district. Use only the table below. district,2015 01 Altstadt - Lehel,345.5 02 Ludwigsvorstadt - Isarvorstadt,243.2 03 Maxvorstadt,261.8 04 Schwabing - West,295.0 05 Au - Haidhausen,269.3 06 Sendling,296.8 07 Sendling - Westpark,325.7 08 Schwanthalerhöhe,246.5 09 Neuhausen - Nymphenburg,317.2 10 Moosach,347.9 11 Milbertshofen - Am Hart,275.4 12 Schwabing - Freimann,316.7 13 Bogenhausen,404.1 14 Berg am Laim,318.3 15 Trudering - Riem,409.6 16 Ramersdorf - Perlach,337.0 17 Obergiesing - Fasangarten,286.0 18 Untergiesing - Harlaching,343.1 19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,389.0 20 Hadern,361.8 21 Pasing - Obermenzing,383.9 22 Aubing - Lochhausen - Langwied,390.2 23 Allach - Untermenzing,450.7 24 Feldmoching - Hasenbergl,353.3 25 Laim,321.5 The city-wide value in 2015 is 333.5. How many districts had a rate strictly above the city-wide value? Return only a JSON integer.
Correct answer:
12development
munich-above-2016
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate by district. Use only the table below. district,2016 01 Altstadt - Lehel,343.9 02 Ludwigsvorstadt - Isarvorstadt,240.8 03 Maxvorstadt,262.8 04 Schwabing - West,293.2 05 Au - Haidhausen,269.6 06 Sendling,298.9 07 Sendling - Westpark,327.4 08 Schwanthalerhöhe,249.8 09 Neuhausen - Nymphenburg,317.8 10 Moosach,347.1 11 Milbertshofen - Am Hart,276.0 12 Schwabing - Freimann,316.1 13 Bogenhausen,402.3 14 Berg am Laim,322.4 15 Trudering - Riem,408.5 16 Ramersdorf - Perlach,336.8 17 Obergiesing - Fasangarten,289.5 18 Untergiesing - Harlaching,342.8 19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,383.2 20 Hadern,362.6 21 Pasing - Obermenzing,386.2 22 Aubing - Lochhausen - Langwied,385.9 23 Allach - Untermenzing,451.0 24 Feldmoching - Hasenbergl,357.7 25 Laim,319.9 The city-wide value in 2016 is 333.6. How many districts had a rate strictly above the city-wide value? Return only a JSON integer.
Correct answer:
12test
munich-above-2017
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate by district. Use only the table below. district,2017 01 Altstadt - Lehel,351.3 02 Ludwigsvorstadt - Isarvorstadt,257.1 03 Maxvorstadt,275.3 04 Schwabing - West,298.1 05 Au - Haidhausen,275.7 06 Sendling,301.8 07 Sendling - Westpark,330.9 08 Schwanthalerhöhe,255.9 09 Neuhausen - Nymphenburg,320.9 10 Moosach,351.6 11 Milbertshofen - Am Hart,283.4 12 Schwabing - Freimann,323.4 13 Bogenhausen,411.1 14 Berg am Laim,327.5 15 Trudering - Riem,413.0 16 Ramersdorf - Perlach,340.8 17 Obergiesing - Fasangarten,297.3 18 Untergiesing - Harlaching,355.5 19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,388.4 20 Hadern,369.9 21 Pasing - Obermenzing,392.3 22 Aubing - Lochhausen - Langwied,387.2 23 Allach - Untermenzing,448.3 24 Feldmoching - Hasenbergl,366.5 25 Laim,321.4 The city-wide value in 2017 is 340.1. How many districts had a rate strictly above the city-wide value? Return only a JSON integer.
Correct answer:
12| Model | Answer given | |
|---|---|---|
| Gemma 4 | 13 | ✗ wrong |
| Llama 3.3 | 13 | ✗ wrong |
| Qwen · off | {"count": 12} | ✓ correct |
| Qwen · on | 12 | ✓ correct |
test
munich-above-2018
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate by district. Use only the table below. district,2018 01 Altstadt - Lehel,353.1 02 Ludwigsvorstadt - Isarvorstadt,257.5 03 Maxvorstadt,273.4 04 Schwabing - West,297.8 05 Au - Haidhausen,275.0 06 Sendling,298.3 07 Sendling - Westpark,331.1 08 Schwanthalerhöhe,256.9 09 Neuhausen - Nymphenburg,321.5 10 Moosach,350.7 11 Milbertshofen - Am Hart,283.7 12 Schwabing - Freimann,322.1 13 Bogenhausen,405.2 14 Berg am Laim,323.2 15 Trudering - Riem,411.9 16 Ramersdorf - Perlach,339.2 17 Obergiesing - Fasangarten,296.1 18 Untergiesing - Harlaching,353.8 19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,388.4 20 Hadern,370.5 21 Pasing - Obermenzing,394.0 22 Aubing - Lochhausen - Langwied,384.2 23 Allach - Untermenzing,447.8 24 Feldmoching - Hasenbergl,365.8 25 Laim,321.8 The city-wide value in 2018 is 339.4. How many districts had a rate strictly above the city-wide value? Return only a JSON integer.
Correct answer:
11| Model | Answer given | |
|---|---|---|
| Gemma 4 | 13 | ✗ wrong |
| Llama 3.3 | 13 | ✗ wrong |
| Qwen · off | {"count": 12} | ✗ wrong |
| Qwen · on | 11 | ✓ correct |
test
munich-above-2019
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate by district. Use only the table below. district,2019 01 Altstadt - Lehel,348.2 02 Ludwigsvorstadt - Isarvorstadt,254.8 03 Maxvorstadt,266.8 04 Schwabing - West,294.7 05 Au - Haidhausen,271.4 06 Sendling,294.4 07 Sendling - Westpark,330.0 08 Schwanthalerhöhe,258.1 09 Neuhausen - Nymphenburg,316.0 10 Moosach,348.5 11 Milbertshofen - Am Hart,279.5 12 Schwabing - Freimann,320.3 13 Bogenhausen,398.3 14 Berg am Laim,321.7 15 Trudering - Riem,412.9 16 Ramersdorf - Perlach,337.2 17 Obergiesing - Fasangarten,295.3 18 Untergiesing - Harlaching,351.8 19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,386.5 20 Hadern,369.5 21 Pasing - Obermenzing,388.2 22 Aubing - Lochhausen - Langwied,382.7 23 Allach - Untermenzing,440.7 24 Feldmoching - Hasenbergl,366.4 25 Laim,317.9 The city-wide value in 2019 is 336.7. How many districts had a rate strictly above the city-wide value? Return only a JSON integer.
Correct answer:
12| Model | Answer given | |
|---|---|---|
| Gemma 4 | 13 | ✗ wrong |
| Llama 3.3 | 13 | ✗ wrong |
| Qwen · off | {"count": 12} | ✓ correct |
| Qwen · on | 12 | ✓ correct |
test
munich-above-2020
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate by district. Use only the table below. district,2020 01 Altstadt - Lehel,353.1 02 Ludwigsvorstadt - Isarvorstadt,260.9 03 Maxvorstadt,276.0 04 Schwabing - West,300.5 05 Au - Haidhausen,275.1 06 Sendling,301.9 07 Sendling - Westpark,335.5 08 Schwanthalerhöhe,266.2 09 Neuhausen - Nymphenburg,323.4 10 Moosach,354.2 11 Milbertshofen - Am Hart,288.2 12 Schwabing - Freimann,324.1 13 Bogenhausen,397.8 14 Berg am Laim,326.0 15 Trudering - Riem,416.1 16 Ramersdorf - Perlach,343.0 17 Obergiesing - Fasangarten,305.0 18 Untergiesing - Harlaching,359.9 19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,391.6 20 Hadern,378.8 21 Pasing - Obermenzing,390.4 22 Aubing - Lochhausen - Langwied,385.1 23 Allach - Untermenzing,453.8 24 Feldmoching - Hasenbergl,371.5 25 Laim,324.8 The city-wide value in 2020 is 342.6. How many districts had a rate strictly above the city-wide value? Return only a JSON integer.
Correct answer:
12| Model | Answer given | |
|---|---|---|
| Gemma 4 | 13 | ✗ wrong |
| Llama 3.3 | 13 | ✗ wrong |
| Qwen · off | {"count": 12} | ✓ correct |
| Qwen · on | 12 | ✓ correct |
test
munich-above-2021
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate by district. Use only the table below. district,2021 01 Altstadt - Lehel,355.3 02 Ludwigsvorstadt - Isarvorstadt,265.2 03 Maxvorstadt,275.2 04 Schwabing - West,303.9 05 Au - Haidhausen,278.6 06 Sendling,304.4 07 Sendling - Westpark,337.0 08 Schwanthalerhöhe,271.4 09 Neuhausen - Nymphenburg,326.0 10 Moosach,353.7 11 Milbertshofen - Am Hart,288.2 12 Schwabing - Freimann,327.5 13 Bogenhausen,397.6 14 Berg am Laim,328.2 15 Trudering - Riem,417.9 16 Ramersdorf - Perlach,343.7 17 Obergiesing - Fasangarten,307.5 18 Untergiesing - Harlaching,363.8 19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,391.3 20 Hadern,376.3 21 Pasing - Obermenzing,392.8 22 Aubing - Lochhausen - Langwied,383.5 23 Allach - Untermenzing,449.4 24 Feldmoching - Hasenbergl,373.4 25 Laim,327.8 The city-wide value in 2021 is 344.4. How many districts had a rate strictly above the city-wide value? Return only a JSON integer.
Correct answer:
11| Model | Answer given | |
|---|---|---|
| Gemma 4 | 14 | ✗ wrong |
| Llama 3.3 | {"count": 13} | ✗ wrong |
| Qwen · off | {"count": 12} | ✗ wrong |
| Qwen · on | 11 | ✓ correct |
test
munich-above-2022
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate by district. Use only the table below. district,2022 01 Altstadt - Lehel,350.7 02 Ludwigsvorstadt - Isarvorstadt,260.4 03 Maxvorstadt,265.4 04 Schwabing - West,296.1 05 Au - Haidhausen,273.1 06 Sendling,298.4 07 Sendling - Westpark,328.3 08 Schwanthalerhöhe,266.0 09 Neuhausen - Nymphenburg,318.8 10 Moosach,348.4 11 Milbertshofen - Am Hart,280.9 12 Schwabing - Freimann,318.8 13 Bogenhausen,386.6 14 Berg am Laim,322.7 15 Trudering - Riem,410.8 16 Ramersdorf - Perlach,337.0 17 Obergiesing - Fasangarten,298.7 18 Untergiesing - Harlaching,356.4 19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,381.2 20 Hadern,366.1 21 Pasing - Obermenzing,383.9 22 Aubing - Lochhausen - Langwied,373.3 23 Allach - Untermenzing,434.2 24 Feldmoching - Hasenbergl,366.6 25 Laim,319.5 The city-wide value in 2022 is 336.6. How many districts had a rate strictly above the city-wide value? Return only a JSON integer.
Correct answer:
12| Model | Answer given | |
|---|---|---|
| Gemma 4 | 13 | ✗ wrong |
| Llama 3.3 | 13 | ✗ wrong |
| Qwen · off | {"count": 12} | ✓ correct |
| Qwen · on | 12 | ✓ correct |
development
munich-above-2023
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate by district. Use only the table below. district,2023 01 Altstadt - Lehel,348.5 02 Ludwigsvorstadt - Isarvorstadt,260.9 03 Maxvorstadt,264.7 04 Schwabing - West,293.0 05 Au - Haidhausen,270.0 06 Sendling,295.1 07 Sendling - Westpark,327.1 08 Schwanthalerhöhe,265.0 09 Neuhausen - Nymphenburg,315.1 10 Moosach,345.2 11 Milbertshofen - Am Hart,280.0 12 Schwabing - Freimann,324.7 13 Bogenhausen,384.6 14 Berg am Laim,321.4 15 Trudering - Riem,412.0 16 Ramersdorf - Perlach,336.1 17 Obergiesing - Fasangarten,297.3 18 Untergiesing - Harlaching,356.1 19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,376.9 20 Hadern,365.2 21 Pasing - Obermenzing,379.9 22 Aubing - Lochhausen - Langwied,366.6 23 Allach - Untermenzing,438.9 24 Feldmoching - Hasenbergl,368.9 25 Laim,316.5 The city-wide value in 2023 is 335.4. How many districts had a rate strictly above the city-wide value? Return only a JSON integer.
Correct answer:
12development
munich-above-2024
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate by district. Use only the table below. district,2024 01 Altstadt - Lehel,345.1 02 Ludwigsvorstadt - Isarvorstadt,259.3 03 Maxvorstadt,259.9 04 Schwabing - West,290.0 05 Au - Haidhausen,269.5 06 Sendling,291.8 07 Sendling - Westpark,326.6 08 Schwanthalerhöhe,263.3 09 Neuhausen - Nymphenburg,312.4 10 Moosach,342.3 11 Milbertshofen - Am Hart,279.4 12 Schwabing - Freimann,323.9 13 Bogenhausen,380.4 14 Berg am Laim,321.7 15 Trudering - Riem,410.3 16 Ramersdorf - Perlach,334.9 17 Obergiesing - Fasangarten,291.4 18 Untergiesing - Harlaching,354.4 19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,373.2 20 Hadern,367.2 21 Pasing - Obermenzing,380.8 22 Aubing - Lochhausen - Langwied,356.9 23 Allach - Untermenzing,439.7 24 Feldmoching - Hasenbergl,365.6 25 Laim,314.8 The city-wide value in 2024 is 333.3. How many districts had a rate strictly above the city-wide value? Return only a JSON integer.
Correct answer:
12test
munich-above-2025
AgiMoBench data analysis. Source: City of Munich Indikatorenatlas, private passenger-car motorisation rate by district. Use only the table below. district,2025 01 Altstadt - Lehel,345.8 02 Ludwigsvorstadt - Isarvorstadt,258.1 03 Maxvorstadt,259.0 04 Schwabing - West,286.5 05 Au - Haidhausen,270.0 06 Sendling,288.0 07 Sendling - Westpark,323.8 08 Schwanthalerhöhe,257.7 09 Neuhausen - Nymphenburg,310.6 10 Moosach,341.5 11 Milbertshofen - Am Hart,278.5 12 Schwabing - Freimann,326.5 13 Bogenhausen,380.4 14 Berg am Laim,322.7 15 Trudering - Riem,406.3 16 Ramersdorf - Perlach,333.6 17 Obergiesing - Fasangarten,289.7 18 Untergiesing - Harlaching,352.4 19 Thalkirchen - Obersendling - Forstenried - Fürstenried - Solln,370.1 20 Hadern,365.3 21 Pasing - Obermenzing,382.2 22 Aubing - Lochhausen - Langwied,351.8 23 Allach - Untermenzing,441.6 24 Feldmoching - Hasenbergl,363.3 25 Laim,312.2 The city-wide value in 2025 is 331.8. How many districts had a rate strictly above the city-wide value? Return only a JSON integer.
Correct answer:
12| Model | Answer given | |
|---|---|---|
| Gemma 4 | 14 | ✗ wrong |
| Llama 3.3 | 13 | ✗ wrong |
| Qwen · off | {"count": 12} | ✓ correct |
| Qwen · on | 12 | ✓ correct |