<b>Summary</b> The cumulative number of confirmed COVID-19 deaths among Maryland residents within a single Maryland jurisdiction. <b>Description</b> The MD COVID-19 - Confirmed Deaths by County data layer is a collection of the statewide confirmed COVID-19 related deaths that have been reported each day by the Vital Statistics Administration that have occurred in each Maryland jurisdiction. A death is classified as confirmed if the person had a laboratory-confirmed positive COVID-19 test result. Some data on deaths may be unavailable due to the time lag between the death, typically reported by a hospital or other facility, and the submission of the complete death certificate. This data layer does not include probable deaths. Probable deaths are available from the MD COVID-19 - Probable Deaths by County data layer. <b>Terms of Use</b> The Spatial Data, and the information therein, (collectively the "Data") is provided "as is" without warranty of any kind, either expressed, implied, or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted, nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct, indirect, incidental, consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data, nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.
This dataset has the following 27 columns:
Column Name | API Column Name | Data Type | Sample Values |
---|---|---|---|
OBJECTID | objectid | number | 204 14 3 655 486 view top 100 |
DATE | date | calendar_date | 2021-09-30T10:00:00.000 2020-04-20T10:00:00.000 2021-08-17T10:00:00.000 2021-03-15T10:00:00.000 2022-05-03T10:00:00.000 view top 100 |
Allegany | allegany | number | 211 18 17 23 22 view top 100 |
Anne_Arundel | anne_arundel | number | 654 650 202 206 631 view top 100 |
Baltimore | baltimore | number | 1650 585 1616 2419 1651 view top 100 |
Baltimore_City | baltimore_city | number | 469 1737 1242 1231 1272 view top 100 |
Calvert | calvert | number | 27 85 100 26 77 view top 100 |
Caroline | caroline | number | 3 30 78 0 10 view top 100 |
Carroll | carroll | number | 248 120 123 113 247 view top 100 |
Cecil | cecil | number | 35 28 29 150 159 view top 100 |
Charles | charles | number | 99 215 214 100 88 view top 100 |
Dorchester | dorchester | number | 64 5 10 2 106 view top 100 |
Frederick | frederick | number | 113 114 334 338 332 view top 100 |
Garrett | garrett | number | 0 1 64 65 61 view top 100 |
Harford | harford | number | 66 72 561 295 0 view top 100 |
Howard | howard | number | 227 367 214 262 111 view top 100 |
Kent | kent | number | 22 49 63 53 23 view top 100 |
Montgomery | montgomery | number | 1577 1583 1977 1576 820 view top 100 |
Prince_Georges | prince_georges | number | 1557 1562 2087 2089 1567 view top 100 |
Queen_Annes | queen_annes | number | 25 108 26 50 51 view top 100 |
Somerset | somerset | number | 3 37 0 40 4 view top 100 |
St_Marys | st_marys | number | 132 123 52 60 57 view top 100 |
Talbot | talbot | number | 4 44 1 6 7 view top 100 |
Washington | washington | number | 330 29 31 577 3 view top 100 |
Wicomico | wicomico | number | 174 152 325 48 49 view top 100 |
Worcester | worcester | number | 105 91 153 0 25 view top 100 |
Unknown | unknown | number | 15 55 50 46 9 view top 100 |