. 2022 Mar 14;194(4):275. doi: 10.1007/s10661-022-09924-7

Table 2.

Descriptive data about COVID-19 disease (cases, deaths, fatality, and mortality rates) during 2020, pollutants mean concentrations between 2015 and 2019, population, and GDP of the 36 analyzed municipalities in the São Paulo state

Municipality	Population	COVID-19				Pollutant concentration (Mean of the years 2015–2019)			GDP^a in 2020
		Cases	Deaths	Mortality (per 10⁵ inhabitants)	Fatality (%)	PM₁₀	PM_2.5	NO₂	GDP^a in 2020
		Cases	Deaths	Mortality (per 10⁵ inhabitants)	Fatality (%)	(µg/m³)	(µg/m³)	(µg/m³)	(Billion US$)
1. Araraquara	228,792	7811	90	39.34	1.15	26.8		17.8	1.80
2. Paulínia	106,781	6487	91	85.22	1.40	31.1	15.0	20.0	6.28
3. Marília	232,599	6922	105	45.14	1.52	20.0		11.6	1.55
4. Bauru	365,523	18,289	301	82.35	1.65	26.2		16.2	2.81
5. Araçatuba	190,921	10,366	205	107.37	1.98	27.0			1.41
6. Santa Gertrudes	26,572	1137	23	86.56	2.02	53.0	17.0	33.0	0.34
7. São José dos Campos	716,688	25,853	545	76.04	2.11	22.1	11.8	19.0	7.63
8. Piracicaba	391,464	19,508	416	106.27	2.13	34.7	13.0	15.6	5.08
9. Presidente Prudente	221,938	8834	197	88.76	2.23	21.0		11.6	1.53
10. Jaú	148,613	4344	98	65.94	2.26	24.4		15.4	0.91
11. Sorocaba	663,739	23,03	563	84.82	2.44	24.8		18.8	6.73
12. Taubaté	309,483	8264	203	65.59	2.46	20.6	12.5	15.6	3.32
13. São José do Rio Preto	450,361	36,185	917	203.61	2.53	33.0	15.0	20.0	3.37
14. Tatuí	121,202	3793	99	81.68	2.61	19.8		9.0	0.76
15. Americana	235,075	8016	212	90.18	2.64	33.2			2.17
16. Limeira	297,662	10,899	289	97.09	2.65	31.5	16.0	19.7	2.53
17. Guaratinguetá	118,741	2379	64	53.90	2.69	19.6	10.0	12.3	1.09
18. Jundiaí	409,439	17,53	485	118.45	2.77	24.6	14.0	25.8	8.39
19. Santos	428,703	32,311	903	210.63	2.79	23.5	15.0	27.6	4.32
20. Cubatão	130,025	8122	229	176.12	2.82	48.0		38.2	2.53
21. Jacareí	229,163	6112	175	76.36	2.86	23.2		13.4	2.44
22. Santo André	694,681	27,983	855	123.08	3.06	28.6		27.0	5.57
23. Ribeirão Preto	688,894	30,865	953	138.34	3.09	29.5	13.3	10.0	6.60
24. Rio Claro	202,289	4923	164	81.07	3.33	39.0	19.0		1.88
25. Campinas	1,181,555	43,41	1474	124.75	3.40	24.1	17.6	19.4	11.80
26. Taboão da Serra	287,155	10,059	352	122.58	3.50	28.8		37.2	1.61
27. São Bernardo do Campo	815,109	33,828	1200	147.22	3.55	26.4	16.2	27.8	9.72
28. Carapicuíba	396,447	12,224	442	111.49	3.62	28.0		33.2	1.10
29. Catanduva	117,414	4957	180	153.30	3.63	33.4		15.6	0.80
30. São Paulo	11,914,851	401,718	15,679	131.59	3.90	28.6	16.8	34.6	137.43
31. Diadema	405,596	11,589	480	118.34	4.14	27.0			2.82
32. São Caetano do Sul	151,111	7608	316	209.12	4.15	32.2	17.0	36.6	2.58
33. Mauá	463,338	11,189	465	100.36	4.16	29.8	17.0	23.7	2.93
34. Mogi das Cruzes	436,883	11,571	547	125.20	4.73	21.0		16.5	2.95
35. Osasco	682,876	18,975	971	142.19	5.12	39.8	22.0	46.4	14.73
36. Guarulhos	1,361,862	27,979	1708	125.42	6.10	29.7	18.2	26.9	11.79

^aGDP was collected in the official governmental platform and converted to US$ considering US$1 = R$5.20 (the exchange rate on December 31st, 2020)