Data for 2019
PM2.5 Air Pollution Exposure, 2019
Figures for 2019, as Atmospheric Composition Analysis Group published them · stored as published, never rewritten
PM2.5 is the dust, soot and smoke in the air fine enough to reach deep into the lungs. This is the yearly average concentration the typical resident breathes: the country's pollution map weighted by where its people live, estimated from satellites, a chemical model and ground monitors.
PM2.5 Air Pollution Exposure, 2019 covers 220 countries on 4 measures. Bangladesh is highest, at 77.1; Greenland is lowest, at 2.4. The middle country reads 14.9. Against 2018, 216 values changed (91 up, 125 down), the same countries are covered.
PM2.5 Air Pollution Exposure · Data for 2019
HighestBangladesh
77.1LowestGreenland
2.4Shaded by value in five groups of equal size, darkest at the lowest end.
01Position · derived
The table
Every country and every column of PM2.5 Air Pollution Exposure, 2019, as published. Atmospheric Composition Analysis Group ranks nobody on this measure; the position is derived here by ordering the published values. “=” marks a shared position.
Showing 25 of 220 countries · select a heading to sort
| derived | |||||
|---|---|---|---|---|---|
| 1 | BGDSouthern Asia | 77.1 | 68.5 | 100.0 | 97.5 |
| 2 | QATWestern Asia | 72.0 | 72.4 | 100.0 | 99.8 |
| 3 | LSOSouthern Africa | 59.1 | 65.9 | 100.0 | 89.7 |
| 4 | SAUWestern Asia | 57.3 | 42.9 | 100.0 | 78.2 |
| 5 | KWTWestern Asia | 56.6 | 55.6 | 100.0 | 100.0 |
| 6 | BHRWestern Asia | 51.8 | 58.7 | 100.0 | 97.3 |
| 7 | INDSouthern Asia | 51.4 | 42.7 | 100.0 | 77.8 |
| 8 | EGYNorthern Africa | 50.5 | 33.3 | 100.0 | 91.7 |
| 9 | PAKSouthern Asia | 46.4 | 37.8 | 100.0 | 77.0 |
| 10 | AREWestern Asia | 46.0 | 54.8 | 100.0 | 98.1 |
| 11 | NPLSouthern Asia | 44.2 | 33.4 | 100.0 | 83.9 |
| 12 | NERWestern Africa | 42.7 | 39.9 | 100.0 | 66.0 |
| 13 | NGAWestern Africa | 41.2 | 41.4 | 100.0 | 51.3 |
| 14 | MRTWestern Africa | 38.2 | 37.7 | 100.0 | 44.9 |
| 15 | CHNEastern Asia | 37.7 | 24.6 | 100.0 | 51.8 |
| 16 | CMRMiddle Africa | 37.0 | 32.9 | 100.0 | 46.9 |
| 17 | TCDMiddle Africa | 36.5 | 39.6 | 100.0 | 42.7 |
| 18 | IRQWestern Asia | 36.3 | 33.0 | 100.0 | 46.1 |
| 19 | BTNSouthern Asia | 35.2 | 26.8 | 100.0 | 31.8 |
| 20 | OMNWestern Asia | 34.7 | 36.2 | 100.0 | 43.2 |
| 21 | CAFMiddle Africa | 34.3 | 30.9 | 100.0 | 46.3 |
| 22 | COGMiddle Africa | 34.2 | 33.8 | 100.0 | 66.2 |
| 23 | IRNSouthern Asia | 32.8 | 32.1 | 100.0 | 37.0 |
| =24 | BFAWestern Africa | 32.7 | 29.9 | 100.0 | 24.0 |
| =24 | MMRSouth-eastern Asia | 32.7 | 29.1 | 100.0 | 30.4 |
| 26 | AFGSouthern Asia | 32.6 | 30.4 | 100.0 | 33.4 |
| 27 | MLIWestern Africa | 32.5 | 31.3 | 100.0 | 26.8 |
| 28 | SENWestern Africa | 31.8 | 29.1 | 100.0 | 30.9 |
| 29 | JORWestern Asia | 31.4 | 26.6 | 100.0 | 26.8 |
| 30 | LBNWestern Asia | 30.8 | 27.3 | 100.0 | 18.9 |
| 31 | GMBWestern Africa | 30.7 | 25.7 | 100.0 | 29.0 |
| 32 | UZBCentral Asia | 30.4 | 21.5 | 100.0 | 36.2 |
| 33 | RWAEastern Africa | 30.3 | 29.2 | 100.0 | 10.7 |
| 34 | TGOWestern Africa | 30.0 | 26.7 | 100.0 | 20.4 |
| 35 | CODMiddle Africa | 29.8 | 29.8 | 100.0 | 27.3 |
| 36 | SDNNorthern Africa | 29.6 | 28.6 | 100.0 | 19.4 |
| =37 | BENWestern Africa | 29.2 | 29.3 | 100.0 | 7.3 |
| =37 | TJKCentral Asia | 29.2 | 16.9 | 99.7 | 30.7 |
| 39 | ARMWestern Asia | 28.8 | 19.5 | 100.0 | 41.2 |
| 40 | YEMWestern Asia | 27.9 | 30.2 | 100.0 | 12.2 |
| 41 | ZAFSouthern Africa | 27.7 | 24.3 | 99.7 | 28.2 |
| 42 | BDIEastern Africa | 27.4 | 26.7 | 100.0 | 0.3 |
| 43 | UGAEastern Africa | 27.2 | 22.9 | 100.0 | 6.7 |
| 44 | GHAWestern Africa | 26.9 | 25.5 | 100.0 | 12.3 |
| =45 | GNBWestern Africa | 26.3 | 23.5 | 100.0 | 8.3 |
| =45 | MNGEastern Asia | 26.3 | 16.1 | 100.0 | 17.1 |
| =45 | VNMSouth-eastern Asia | 26.3 | 22.8 | 100.0 | 13.3 |
| 48 | SYRWestern Asia | 26.2 | 24.0 | 100.0 | 8.4 |
| 49 | LAOSouth-eastern Asia | 25.7 | 24.7 | 100.0 | 0.7 |
| 50 | ETHEastern Africa | 25.5 | 20.1 | 100.0 | 12.3 |
| 51 | THASouth-eastern Asia | 25.2 | 25.7 | 100.0 | 4.0 |
| 52 | PRKEastern Asia | 24.9 | 21.7 | 100.0 | 0.7 |
| =53 | DJIEastern Africa | 24.6 | 23.1 | 100.0 | 0.7 |
| =53 | SLVCentral America | 24.6 | 21.5 | 100.0 | 8.0 |
| =55 | GINWestern Africa | 24.3 | 21.6 | 100.0 | 10.3 |
| =55 | KOREastern Asia | 24.3 | 21.8 | 100.0 | 0.0 |
| 57 | GABMiddle Africa | 23.7 | 24.3 | 100.0 | 0.7 |
| =58 | PSEWestern Asia | 23.3 | 23.5 | 100.0 | 0.9 |
| =58 | SGPSouth-eastern Asia | 23.3 | 22.5 | 100.0 | 0.0 |
| =60 | BOLSouth America | 23.0 | 21.0 | 100.0 | 0.8 |
| =60 | TURWestern Asia | 23.0 | 23.5 | 100.0 | 4.8 |
| 62 | KHMSouth-eastern Asia | 22.7 | 20.7 | 100.0 | 0.0 |
| 63 | ERIEastern Africa | 22.2 | 23.9 | 100.0 | 2.9 |
| 64 | GTMCentral America | 22.0 | 18.7 | 100.0 | 0.3 |
| 65 | CIVWestern Africa | 21.9 | 22.4 | 100.0 | 0.1 |
| 66 | HNDCentral America | 21.8 | 16.7 | 100.0 | 1.2 |
| =67 | ISRWestern Asia | 21.6 | 24.7 | 100.0 | 0.3 |
| =67 | SSDEastern Africa | 21.6 | 23.5 | 100.0 | 0.0 |
| 69 | TKMCentral Asia | 21.3 | 21.3 | 100.0 | 0.3 |
| 70 | IDNSouth-eastern Asia | 21.1 | 18.4 | 100.0 | 7.2 |
| 71 | MYSSouth-eastern Asia | 20.9 | 15.0 | 100.0 | 6.7 |
| 72 | KENEastern Africa | 20.7 | 15.1 | 100.0 | 2.3 |
| 73 | LKASouthern Asia | 20.6 | 20.6 | 100.0 | 0.0 |
| 74 | KGZCentral Asia | 20.5 | 14.7 | 99.2 | 4.2 |
| 75 | MKDSouthern Europe | 20.3 | 17.6 | 100.0 | 6.4 |
| 76 | BIHSouthern Europe | 20.1 | 17.2 | 100.0 | 1.9 |
| 77 | AGOMiddle Africa | 19.7 | 19.0 | 100.0 | 0.0 |
| 78 | ECUSouth America | 19.5 | 18.2 | 99.9 | 0.0 |
| 79 | LBYNorthern Africa | 19.3 | 25.7 | 100.0 | 1.7 |
| 80 | PHLSouth-eastern Asia | 19.2 | 14.8 | 100.0 | 5.2 |
| 81 | PERSouth America | 18.6 | 17.5 | 99.4 | 2.7 |
| =82 | SRBSouthern Europe | 18.5 | 16.2 | 100.0 | 0.1 |
| =82 | SLEWestern Africa | 18.5 | 16.4 | 100.0 | 0.0 |
| =82 | TZAEastern Africa | 18.5 | 17.5 | 100.0 | 0.0 |
| =82 | VENSouth America | 18.5 | 15.8 | 100.0 | 0.0 |
| 86 | COLSouth America | 18.4 | 18.5 | 100.0 | 0.0 |
| =87 | CHLSouth America | 18.3 | 16.0 | 99.9 | 0.1 |
| =87 | KAZCentral Asia | 18.3 | 13.3 | 99.6 | 8.2 |
| 89 | CRICentral America | 18.1 | 16.4 | 100.0 | 0.0 |
| 90 | LBRWestern Africa | 18.0 | 15.8 | 100.0 | 0.0 |
| 91 | AZEWestern Asia | 17.7 | 16.7 | 100.0 | 0.0 |
| 92 | MEXCentral America | 17.4 | 9.9 | 99.4 | 0.0 |
| =93 | BGREastern Europe | 17.2 | 16.3 | 100.0 | 0.0 |
| =93 | POLEastern Europe | 17.2 | 15.2 | 100.0 | 0.0 |
| 95 | PANCentral America | 16.5 | 16.7 | 100.0 | 0.0 |
| 96 | ZMBEastern Africa | 16.3 | 16.4 | 100.0 | 0.0 |
| =97 | DOMCaribbean | 16.1 | 11.7 | 100.0 | 0.0 |
| =97 | ROUEastern Europe | 16.1 | 14.7 | 100.0 | 0.0 |
| =99 | ALBSouthern Europe | 16.0 | 14.9 | 100.0 | 0.0 |
| =99 | GNQMiddle Africa | 16.0 | 17.2 | 100.0 | 0.0 |
| =99 | XKXSouthern Europe | 16.0 | 15.5 | 100.0 | 0.0 |
| =102 | GEOWestern Asia | 15.7 | 13.6 | 99.7 | 0.0 |
| =102 | NICCentral America | 15.7 | 13.2 | 99.9 | 0.0 |
| =104 | JAMCaribbean | 15.4 | 13.2 | 100.0 | 0.8 |
| =104 | PRYSouth America | 15.4 | 16.3 | 100.0 | 0.0 |
| =104 | SURSouth America | 15.4 | 14.7 | 100.0 | 0.0 |
| 107 | VATSouthern Europe | 15.2 | 15.2 | 100.0 | 0.0 |
| 108 | BRNSouth-eastern Asia | 15.0 | 13.0 | 100.0 | 0.0 |
| =109 | CYPWestern Asia | 14.9 | 16.0 | 100.0 | 0.0 |
| =109 | SWZSouthern Africa | 14.9 | 14.8 | 100.0 | 0.0 |
| 111 | GRCSouthern Europe | 14.8 | 13.9 | 100.0 | 0.0 |
| 112 | STPMiddle Africa | 14.6 | 14.0 | 100.0 | 0.0 |
| 113 | MWIEastern Africa | 14.5 | 15.2 | 100.0 | 0.0 |
| =114 | ITASouthern Europe | 14.4 | 11.4 | 99.9 | 0.0 |
| =114 | Northern CyprusXNCWestern Asia | 14.4 | 14.4 | 100.0 | 0.0 |
| 116 | MARNorthern Africa | 14.3 | 14.8 | 100.0 | 0.2 |
| =117 | CPVWestern Africa | 14.1 | 15.4 | 100.0 | 0.0 |
| =117 | SVKEastern Europe | 14.1 | 13.3 | 100.0 | 0.0 |
| 119 | HUNEastern Europe | 14.0 | 13.2 | 100.0 | 0.0 |
| =120 | ARGSouth America | 13.9 | 13.2 | 100.0 | 0.2 |
| =120 | UKREastern Europe | 13.9 | 12.8 | 100.0 | 0.0 |
| =122 | BRBCaribbean | 13.7 | 13.4 | 100.0 | 0.0 |
| =122 | HRVSouthern Europe | 13.7 | 12.7 | 100.0 | 0.0 |
| 124 | JPNEastern Asia | 13.6 | 12.5 | 100.0 | 0.0 |
| 125 | MDAEastern Europe | 13.5 | 13.3 | 100.0 | 0.0 |
| =126 | HTICaribbean | 13.4 | 12.0 | 100.0 | 0.0 |
| =126 | TUNNorthern Africa | 13.4 | 15.1 | 100.0 | 0.0 |
| =128 | BRASouth America | 13.3 | 16.2 | 99.8 | 0.0 |
| =128 | CZEEastern Europe | 13.3 | 11.4 | 100.0 | 0.0 |
| =128 | SVNSouthern Europe | 13.3 | 11.3 | 100.0 | 0.0 |
| 131 | GUYSouth America | 13.2 | 14.2 | 100.0 | 0.0 |
| 132 | RUSEastern Europe | 13.1 | 11.1 | 98.6 | 0.0 |
| =133 | DZANorthern Africa | 13.0 | 19.8 | 100.0 | 0.1 |
| =133 | MNESouthern Europe | 13.0 | 13.4 | 100.0 | 0.0 |
| 135 | BLREastern Europe | 12.9 | 11.8 | 100.0 | 0.0 |
| 136 | PNGMelanesia | 12.8 | 12.0 | 100.0 | 0.0 |
| =137 | BWASouthern Africa | 12.7 | 12.2 | 100.0 | 0.0 |
| =137 | NAMSouthern Africa | 12.7 | 9.7 | 100.0 | 0.0 |
| 139 | LCACaribbean | 12.6 | 12.4 | 100.0 | 0.0 |
| =140 | MUSEastern Africa | 12.5 | 10.5 | 97.2 | 4.2 |
| =140 | TTOCaribbean | 12.5 | 11.6 | 100.0 | 0.0 |
| 142 | URYSouth America | 12.4 | 10.0 | 100.0 | 0.0 |
| 143 | SOMEastern Africa | 12.1 | 14.1 | 100.0 | 0.0 |
| 144 | TLSSouth-eastern Asia | 12.0 | 11.4 | 100.0 | 0.0 |
| =145 | MDVSouthern Asia | 11.9 | 13.3 | 100.0 | 0.0 |
| =145 | MLTSouthern Europe | 11.9 | 11.8 | 100.0 | 0.0 |
| =147 | SMRSouthern Europe | 11.7 | 11.4 | 100.0 | 0.0 |
| =147 | ZWEEastern Africa | 11.7 | 11.2 | 100.0 | 0.0 |
| 149 | MOZEastern Africa | 11.5 | 11.9 | 100.0 | 0.0 |
| 150 | NLDWestern Europe | 11.0 | 10.7 | 100.0 | 0.0 |
| 151 | GRDCaribbean | 10.9 | 10.6 | 100.0 | 0.0 |
| 152 | LTUNorthern Europe | 10.7 | 9.6 | 100.0 | 0.0 |
| =153 | AUTWestern Europe | 10.6 | 8.6 | 99.3 | 0.0 |
| =153 | BELWestern Europe | 10.6 | 9.5 | 100.0 | 0.0 |
| =155 | ATGCaribbean | 10.4 | 8.6 | 99.3 | 0.0 |
| =155 | GIBSouthern Europe | 10.4 | 10.7 | 100.0 | 0.0 |
| 157 | BLZCentral America | 10.3 | 10.8 | 100.0 | 0.0 |
| 158 | MDGEastern Africa | 10.2 | 7.9 | 92.2 | 0.0 |
| =159 | ABWCaribbean | 10.1 | 9.3 | 100.0 | 0.0 |
| =159 | ESPSouthern Europe | 10.1 | 7.8 | 99.8 | 0.0 |
| 161 | MCOWestern Europe | 10.0 | 9.8 | 100.0 | 0.0 |
| 162 | GBRNorthern Europe | 9.9 | 7.9 | 99.9 | 0.0 |
| 163 | DEUWestern Europe | 9.6 | 8.9 | 100.0 | 0.0 |
| 164 | CUWCaribbean | 9.5 | 9.2 | 99.7 | 0.0 |
| =165 | CYMCaribbean | 9.4 | 8.9 | 100.0 | 0.0 |
| =165 | FRAWestern Europe | 9.4 | 7.8 | 99.7 | 0.0 |
| =167 | CUBCaribbean | 9.3 | 7.7 | 99.3 | 0.0 |
| =167 | LVANorthern Europe | 9.3 | 7.7 | 100.0 | 0.0 |
| =169 | AUSAustralia and New Zealand | 9.2 | 6.4 | 97.6 | 0.0 |
| =169 | MAFCaribbean | 9.2 | 8.7 | 100.0 | 0.0 |
| 171 | DMACaribbean | 9.1 | 8.7 | 100.0 | 0.0 |
| =172 | DNKNorthern Europe | 8.9 | 8.3 | 100.0 | 0.0 |
| =172 | IRLNorthern Europe | 8.9 | 8.4 | 100.0 | 0.0 |
| =174 | MSRCaribbean | 8.8 | 8.0 | 100.0 | 0.0 |
| =174 | CHEWestern Europe | 8.8 | 7.5 | 99.4 | 0.0 |
| =176 | LUXWestern Europe | 8.7 | 8.0 | 100.0 | 0.0 |
| =176 | PRTSouthern Europe | 8.7 | 6.8 | 98.1 | 0.0 |
| 178 | LIEWestern Europe | 8.6 | 8.3 | 100.0 | 0.0 |
| 179 | VCTCaribbean | 8.1 | 8.6 | 95.6 | 0.0 |
| 180 | SXMCaribbean | 7.9 | 7.5 | 100.0 | 0.0 |
| =181 | NZLAustralia and New Zealand | 7.8 | 7.0 | 98.1 | 0.0 |
| =181 | KNACaribbean | 7.8 | 8.0 | 99.0 | 0.0 |
| =183 | PRICaribbean | 7.4 | 7.1 | 99.9 | 0.0 |
| =183 | USANorthern America | 7.4 | 5.4 | 96.0 | 0.0 |
| 185 | IMNNorthern Europe | 7.3 | 6.7 | 99.9 | 0.0 |
| 186 | AIACaribbean | 7.0 | 6.9 | 96.8 | 0.0 |
| 187 | ESTNorthern Europe | 6.8 | 6.0 | 98.1 | 0.0 |
| =188 | VGBCaribbean | 6.5 | 5.7 | 89.7 | 0.0 |
| =188 | COMEastern Africa | 6.5 | 6.5 | 100.0 | 0.0 |
| =188 | SLBMelanesia | 6.5 | 6.3 | 99.3 | 0.0 |
| =188 | VIRCaribbean | 6.5 | 6.3 | 89.9 | 0.0 |
| 192 | CANNorthern America | 6.4 | 4.5 | 86.8 | 0.0 |
| 193 | ANDSouthern Europe | 6.3 | 5.7 | 85.2 | 0.0 |
| 194 | TCACaribbean | 5.9 | 5.1 | 78.1 | 0.0 |
| 195 | SWENorthern Europe | 5.8 | 3.8 | 74.6 | 0.0 |
| 196 | BHSCaribbean | 5.7 | 5.3 | 68.0 | 0.0 |
| 197 | SYCEastern Africa | 5.6 | 5.5 | 97.8 | 0.0 |
| 198 | NORNorthern Europe | 5.5 | 3.6 | 63.7 | 0.0 |
| 199 | FJIMelanesia | 5.4 | 4.7 | 57.8 | 0.1 |
| 200 | BMUNorthern America | 5.2 | 5.2 | 73.9 | 0.0 |
| 201 | FINNorthern Europe | 5.1 | 3.9 | 47.1 | 0.0 |
| =202 | FRONorthern Europe | 4.9 | 4.6 | 41.9 | 0.0 |
| =202 | PLWMicronesia | 4.9 | 5.1 | 47.4 | 0.0 |
| 204 | VUTMelanesia | 4.8 | 4.7 | 27.9 | 0.0 |
| 205 | ISLNorthern Europe | 4.7 | 4.1 | 32.4 | 0.0 |
| 206 | TUVPolynesia | 4.5 | 4.3 | 7.9 | 0.0 |
| =207 | NRUMicronesia | 4.3 | 4.3 | 0.0 | 0.0 |
| =207 | NCLMelanesia | 4.3 | 4.6 | 9.8 | 0.0 |
| 209 | TONPolynesia | 4.0 | 3.6 | 14.9 | 0.0 |
| 210 | WSMPolynesia | 3.9 | 3.6 | 0.0 | 0.0 |
| 211 | KIRMicronesia | 3.6 | 3.1 | 1.2 | 0.0 |
| =212 | ASMPolynesia | 3.5 | 3.3 | 0.0 | 0.0 |
| =212 | GUMMicronesia | 3.5 | 3.4 | 0.0 | 0.0 |
| =214 | MHLMicronesia | 3.2 | 2.0 | 0.1 | 0.0 |
| =214 | NIUPolynesia | 3.2 | 3.1 | 0.0 | 0.0 |
| =214 | MNPMicronesia | 3.2 | 3.3 | 0.0 | 0.0 |
| 217 | FSMMicronesia | 3.1 | 3.3 | 0.0 | 0.0 |
| 218 | PYFPolynesia | 2.6 | -1.6 | 0.0 | 0.0 |
| 219 | COKPolynesia | 2.5 | 2.5 | 0.0 | 0.0 |
| 220 | GRLNorthern America | 2.4 | 1.4 | 0.0 | 0.0 |
02In 2019
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- 1
Bangladesh77.1
- 2
Qatar72.0
- 3
Lesotho59.1
- 4
Saudi Arabia57.3
- 5
Kuwait56.6
Lowest
- 220
Greenland2.4
- 219
Cook Islands2.5
- 218
French Polynesia2.6
- 217
Micronesia3.1
- 214
Niueshared3.2
A higher value is the worse result. The middle country reads 14.9. “Shared” marks a value another country also holds.
Each measure’s ends
PM2.5, geographic mean (µg/m³)
Highest
Qatar72.4
Lowest
French Polynesia-1.6
Middle country: 14.3
People at or above 5 µg/m³, the WHO guideline (%)
Highest155 share it
Lowest10 share it
Middle country: 100.0
People at or above 35 µg/m³, the WHO's first interim target (%)
Highest
Kuwait100.0
Lowest137 share it
Middle country: 0.0
032018 → 2019
Since 2018
- +0 / −0countries joined / left
- 216values changed, of 220 in both
- 91 · 125rose · fell
- 4unchanged
Rose most
Lesotho32.0 → 59.1+27.1
Egypt36.5 → 50.5+14.0
Bangladesh71.6 → 77.1+5.5
Honduras16.5 → 21.8+5.3
El Salvador19.3 → 24.6+5.3
Changes in value, not in places: a country’s place also moves when others do.
04Caveats
Read before you use
168 distinct values among 220
Values are stored exactly as published, to 1 decimal. 4 countries share 18.5. Countries sharing a value share a position too.
Nothing missing
Every one of the 220 countries has every column.
05The files
Download and cite
- .csv
For a spreadsheet or code
220 rows · 8.0 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download pm25-exposure-2019-nations-inquiry.csv - ↗
The publisher’s original
Atmospheric Composition Analysis Group’s own file, on its own site.
e673hbmsl75gechxnrjotenel6k4hdfc
What this site changed: Reshaped to one row per country, with its ISO code; no value recalculated, rescaled or rounded. In full
Licence: CC BY 4.0 · what it allows, in plain words
Cite this edition
Atmospheric Composition Analysis Group, Washington University in St. Louis (2019). PM2.5 Air Pollution Exposure, 2019 [data set], describing 2019. As held by Nations Inquiry, https://nationsinquiry.com/datasets/pm25-exposure/2019
0626 held
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PM2.5 Air Pollution Exposure, 2018220 countries
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PM2.5 Air Pollution Exposure: every year26 held, with the data dictionary, coverage and licence.
How it has moved, charted by country