In The Neighborhood (track)
by Tom Waits
Year: 1983
From the album Swordfishtrombones (track #7)
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In The Neighborhood appears on the following album(s) by Tom Waits:
- Swordfishtrombones (track #7) (this album) (1983)
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Condition: New
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Condition: Used
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In The Neighborhood ratings
Average Rating = (n ÷ (n + m)) × av + (m ÷ (n + m)) × AVwhere:
av = trimmed mean average rating an item has currently received.
n = number of ratings an item has currently received.
m = minimum number of ratings required for an item to appear in a 'top-rated' chart (currently 10).
AV = the site mean average rating.
| Rating | Date updated | Member | Track ratings | Avg. track rating |
|---|---|---|---|---|
| ! | 02/06/2026 19:25 |  HoldenM | 8,104 | 91/100 |
| ! | 01/14/2026 18:51 | Exist-en-ciel | 78,428 | 70/100 |
| ! | 12/31/2025 12:32 |  Tamthebam | 44,641 | 79/100 |
| ! | 11/11/2025 09:44 | ShenBapiro | 6,173 | 77/100 |
| ! | 07/16/2025 20:47 | TradeShark | 4,948 | 30/100 |
Rating metrics:
Outliers can be removed when calculating a mean average to dampen the effects of ratings outside the normal distribution. This figure is provided as the trimmed mean. A high standard deviation can be legitimate, but can sometimes indicate 'gaming' is occurring. Consider a simplified example* of an item receiving ratings of 100, 50, & 0. The mean average rating would be 50. However, ratings of 55, 50 & 45 could also result in the same average. The second average might be more trusted because there is more consensus around a particular rating (a lower deviation).
(*In practice, some tracks can have several thousand ratings)
This track is rated in the top 1% of all tracks on BestEverAlbums.com. This track has a Bayesian average rating of 87.4/100, a mean average of 87.1/100, and a trimmed mean (excluding outliers) of 88.1/100. The standard deviation for this track is 12.5.
In The Neighborhood favourites
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In The Neighborhood comments
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Brilliantly sloppy, In the neighborhood, is an excellent track, one of the many highlights of a superb album. Fantastic song.
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