| № | Республика | Коренная национальность, % | Доля русских, % |
|---|---|---|---|
| 1 | Чеченская | 87,7 | 8,2 |
| 2 | Дагестан | 80,2 | 9,2 |
| 3 | Ингушская | 70,7 | 23 |
| 4 | Чувашия | 68 | 22 |
| 5 | Тыва | 64 | 32 |
| 6 | Кабардино-Балкария | 57,6 | 30 |
| 7 | Северная Осетия (Алания) | 53 | 29,9 |
The provided image contains a table with data on the population characteristics of some Russian republics, including the percentage of the indigenous nationality and the percentage of Russians. It also shows a contour map of Russia with numbered regions, which are intended to be labeled according to the statistical data. The task is to use the statistical data to mark the republics on the map using coloring or hatching.
Table Data:
The map shows numbered regions, but without a key or further information in the image, it's impossible to definitively match each number to a specific republic from the table. For example, region '1' is a very large central area, region '2' is in Siberia, and '19' is in the Far East.
To complete the task described in the image, one would need to:
Since this is an image analysis task, I can only extract the data and describe the visual elements. The actual mapping and coloring cannot be performed within this format.