The Baltimore Review - Fiction (Go to Poetry)
Description
The Baltimore Review was founded by Barbara Westwood Diehl in 1996 as a literary journal publishing short stories and poems, with a mission to showcase the best writing from the Baltimore area and beyond. Our mission remains just that. However, in our online format, we can now bring that fine writing to the world's attention, more frequently, and at less cost. We can also explore new ways to bring the world of writers and writing to the reader's attention.
Market Submission Schedule
- Submissions Window - Feb 1, 2019 thru May 31, 2019 (Ends 39 days from now)
- Submissions Window - Aug 1, 2019 thru Nov 30, 2019 (Begins 100 days from now)
Market Genres, Styles & Subjects
Genres
GeneralLiterary
Market Types, Lengths & Pay Scale
Flash
0 to 1000 words
4 cents/word
Short Story
1000 to 5000 words
Less than 1 cent/word
Market Submission Types
Electronic Submissions?: Yes
Postal Submissions?: No
Reprints?: No
Multiple Submissions?: No
Simultaneous Submissions?: Yes
Postal Submissions?: No
Reprints?: No
Multiple Submissions?: No
Simultaneous Submissions?: Yes
Market Response Data
View recent responses from this market
This statistical information is an aggregation of submission data provided by our members. The more data we have the more accurate our
numbers will be so please be sure to log all of your submissions here and not just your rejections or acceptances.
numbers will be so please be sure to log all of your submissions here and not just your rejections or acceptances.
Accuracy:
There are 39 completed reports in the past 12 months.
Averages and Boundaries:
43 min | 118.55 mean avg | 105 median | 210 max days
Responded:
74.35%
Accepted:
5.12% - avg 196 days
Rejected:
69.23% - avg 112 days
(0.00% of rejections are personal)
Rewrites:
-
Dead Letters:
25.64%
Lost/Returned:
-
Never Responded:
-
Withdrawn:
25.64%
Pending:
16 pending responses (3 min | 101 mean avg | 32 median | 1085 max days waiting)
Note: pending statistics may skew high if some users neglect their data.
We recommend querying after the time the market suggests to query.
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