MD COVID-19 - Cases per 100K population, by jurisdiction
opendata.maryland.gov | Last Updated 7 May 2024<b>Note:</b> Starting April 27, 2023 updates change from daily to weekly. <b>Summary</b> The rate of confirmed COVID-19 cases among Marylanders per 100,000 people in each Maryland jurisdiction. <b>Description</b> The MD COVID-19 cases per 100K population, by jurisdiction layer is the rate of confirmed daily COVID-19 cases among Marylanders per 100,000 people in each Maryland jurisdiction. This rate is a 7-day average, calculated using the CasesByCounty layer and the 2019 estimated county populations (Maryland Department of Planning). Any negative value may be attributed to changes in reporting by jurisdiction. <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 26 columns:
| Column Name | API Column Name | Data Type | Sample Values |
|---|---|---|---|
| ReportDate | reportdate | calendar_date | 2021-05-04T00:00:00.000 2022-03-12T00:00:00.000 2022-05-13T00:00:00.000 2021-12-15T00:00:00.000 2020-07-10T00:00:00.000 view top 100 |
| Statewide | statewide | number | 0.89 5.0 0.9 0.86 3.24 view top 100 |
| Allegany | allegany | number | 1.62 1.83 2.03 1.42 3.25 view top 100 |
| Anne_Arundel | anne_arundel | number | 0.81 0.89 0.84 2.59 0.67 view top 100 |
| Baltimore | baltimore | number | 4.2 0.9 4.02 0.67 4.11 view top 100 |
| Baltimore_City | baltimore_city | number | 1.35 0.89 13.05 0.82 2.89 view top 100 |
| Calvert | calvert | number | 0.93 2.62 1.08 1.7 2.32 view top 100 |
| Caroline | caroline | number | 0.43 0.86 4.7 3.42 4.28 view top 100 |
| Carroll | carroll | number | 0.51 2.8 3.14 2.88 3.31 view top 100 |
| Cecil | cecil | number | 3.33 5.0 5.42 4.58 4.17 view top 100 |
| Charles | charles | number | 2.01 0.7 1.14 5.08 11.38 view top 100 |
| Dorchester | dorchester | number | 1.34 7.16 2.24 8.95 1.79 view top 100 |
| Frederick | frederick | number | 1.1 0.5 1.16 3.63 3.14 view top 100 |
| Garrett | garrett | number | 0.0 1.97 0.98 1.48 0.49 view top 100 |
| Harford | harford | number | 1.01 3.91 0.95 3.8 0.78 view top 100 |
| Howard | howard | number | 4.52 7.33 9.83 1.71 3.86 view top 100 |
| Kent | kent | number | 1.47 4.41 0.74 3.68 5.15 view top 100 |
| Montgomery | montgomery | number | 1.02 1.14 1.32 10.1 10.03 view top 100 |
| Prince_Georges | prince_georges | number | 0.93 1.18 1.49 1.15 6.17 view top 100 |
| Queen_Annes | queen_annes | number | 0.85 1.13 2.84 0.57 0.28 view top 100 |
| Somerset | somerset | number | 2.23 0.56 1.67 1.12 0.0 view top 100 |
| St_Marys | st_marys | number | 1.89 2.01 2.14 1.76 2.27 view top 100 |
| Talbot | talbot | number | 3.07 6.15 0.77 0.38 5.76 view top 100 |
| Washington | washington | number | 1.32 0.19 1.23 2.36 0.95 view top 100 |
| Wicomico | wicomico | number | 1.24 0.69 0.83 1.38 6.76 view top 100 |
| Worcester | worcester | number | 0.55 0.27 0.82 3.55 1.09 view top 100 |