It's a 10-fold margin of error.
No, its not. Its 1.1m +/- 0.9m. The margin of error is 0.9m. Its not a percentage, because you aren't measuring Y/N polling results or something else where the measurement is a percentage ("margin of error" isn't a percentage of the measurement -- and certainly not a percentage of the minimum measurement as you present it -- its the radius of the confidence interval, or, IOW, half the size of the range between the minimum and maximum value.)
It is true that 2.0 is 1000% of 0.2, but that has nothing to do with "margin of error".
Even if you do factor out the .2, you's at best be 900%
Even if you rewrite this into something that looks like English, you've confused "factor" with "subtract", and still don't know what a margin of error is, because just like its not the ratio of the maximum value to the minimum value, its also not the ratio of the size of the range to the minimum value.
If you wanted to measure something related to the margin of error as a ratio of anything (which might in some contexts be useful as a way to make it scale-independent), the only thing that would make sense would be measuring the ratio between the actual absolute margin of error (in this case, 0.9m) to the center of the distribution (1.1m), which would be ~82% in this case. (But note when an actual margin of error is reported as a percent, this isn't what it means, it means that the actual values being measured are percents, and the list percentage is still the absolute size of the range, not a ratio.)