Table 3.
Domain-wise and overall COVID-19 vulnerability index by district (20 least vulnerable districts)
| District | Socioeconomic vulnerability | Demographic vulnerability | Vulnerability due to housing and hygiene condition | Vulnerability due to non-availability of health care | Epidemiological vulnerability | Overall vulnerability | |
|---|---|---|---|---|---|---|---|
| Sikkim | South district | 0·311 | 0·103 | 0·000 | 0·063 | 0·009 | 0·000 |
| Sikkim | North district | 0·642 | 0·008 | 0·003 | 0·036 | 0·034 | 0·002 |
| Sikkim | West district | 0·628 | 0·033 | 0·000 | 0·064 | 0·116 | 0·003 |
| Assam | Jorhat | 0·059 | 0·302 | 0·155 | 0·252 | 0·164 | 0·005 |
| Himachal Pradesh | Kangra | 0·039 | 0·357 | 0·210 | 0·180 | 0·166 | 0·006 |
| Uttarakhand | Rudraprayag | 0·297 | 0·224 | 0·185 | 0·260 | 0·033 | 0·008 |
| Arunachal Pradesh | Dibang valley | 0·876 | 0·094 | 0·017 | 0·025 | 0·063 | 0·009 |
| Arunachal Pradesh | Lower Subansiri | 0·775 | 0·025 | 0·097 | 0·011 | 0·172 | 0·011 |
| Himachal Pradesh | Lahul and Spiti | 0·601 | 0·186 | 0·219 | 0·066 | 0·023 | 0·013 |
| Himachal Pradesh | Shimla | 0·153 | 0·433 | 0·228 | 0·042 | 0·286 | 0·014 |
| Arunachal Pradesh | West Siang | 0·753 | 0·053 | 0·014 | 0·005 | 0·326 | 0·016 |
| Arunachal Pradesh | Upper Siang | 0·847 | 0·049 | 0·105 | 0·003 | 0·166 | 0·017 |
| Himachal Pradesh | Mandi | 0·258 | 0·377 | 0·280 | 0·049 | 0·216 | 0·019 |
| Assam | Golaghat | 0·127 | 0·080 | 0·171 | 0·462 | 0·354 | 0·020 |
| Assam | Nalbari | 0·111 | 0·227 | 0·045 | 0·235 | 0·576 | 0·022 |
| Himachal Pradesh | Chamba | 0·560 | 0·138 | 0·360 | 0·039 | 0·103 | 0·023 |
| Jammu and Kashmir | Baramula | 0·261 | 0·189 | 0·039 | 0·383 | 0·338 | 0·025 |
| Arunachal Pradesh | East Siang | 0·520 | 0·116 | 0·088 | 0·000 | 0·562 | 0·027 |
| Haryana | Panchkula | 0·013 | 0·814 | 0·078 | 0·391 | 0·008 | 0·028 |
| Arunachal Pradesh | Kurung Kumey | 0·995 | 0·002 | 0·282 | 0·009 | 0·019 | 0·030 |