Comparison of Unicode encodings

Efficiency

UTF-8 requires 8, 16, 24 or 32 bits (one to four bytes) to encode a Unicode character, UTF-16 requires either 16 or 32 bits to encode a character, and UTF-32 always requires 32 bits to encode a character.

The first 128 Unicode code points, U+0000 to U+007F, which are used for the C0 Controls and Basic Latin characters and which correspond to ASCII, are encoded using 8 bits in UTF-8, 16 bits in UTF-16, and 32 bits in UTF-32. The next 1,920 characters, U+0080 to U+07FF, represent the rest of the characters used by almost all Latin-script alphabets as well as Greek, Cyrillic, Coptic, Armenian, Hebrew, Arabic, Syriac, Thaana and N'Ko. Characters in this range require 16 bits to encode in both UTF-8 and UTF-16, and 32 bits in UTF-32. For U+0800 to U+FFFF, the remaining characters in the Basic Multilingual Plane and capable of representing the rest of the characters of most of the world's living languages, UTF-8 needs 24 bits to encode a character while UTF-16 needs 16 bits and UTF-32 needs 32. Code points U+010000 to U+10FFFF, which represent characters in the supplementary planes, require 32 bits in UTF-8, UTF-16 and UTF-32.

A file is shorter in UTF-8 than in UTF-16 if there are more ASCII code points than there are code points in the range U+0800 to U+FFFF. Advocates of UTF-8 as the preferred form argue that real-world documents written in languages that use characters only in the high range are still often shorter in UTF-8 due to the extensive use of spaces, digits, punctuation, newlines, HTML or XML markup (e.g. in docx or odt files), and embedded words and acronyms written with Latin letters. UTF-32, by contrast, is always longer unless there are no code points less than U+10000.

All printable characters in UTF-EBCDIC use at least as many bytes as in UTF-8, and most use more, due to a decision made to allow encoding the C1 control codes as single bytes. For seven-bit environments, UTF-7 is more space efficient than the combination of other Unicode encodings with quoted-printable or base64 for almost all types of text (see "Seven-bit environments" below).

Processing time

Text with variable-length encoding such as UTF-8 or UTF-16 is harder to process if there is a need to work with individual code units as opposed to working with code points. Searching is unaffected by whether the characters are variably sized since a search for a sequence of code units does not care about the divisions. However, it does require that the encoding be self-synchronizing, which both UTF-8 and UTF-16 are. A common misconception is that there is a need to "find the nth character" and that this requires a fixed-length encoding; however, in real use the number n is only derived from examining the n−1 characters, thus sequential access is needed anyway.

Processing issues

For processing, a format should be easy to search, truncate, and generally process safely. All normal Unicode encodings use some form of fixed-size code unit. Depending on the format and the code point to be encoded, one or more of these code units will represent a Unicode code point. To allow easy searching and truncation, a sequence must not occur within a longer sequence or across the boundary of two other sequences. UTF-8, UTF-16, UTF-32 and UTF-EBCDIC have these important properties but UTF-7 and GB 18030 do not.

Fixed-size characters can be helpful, but even if there is a fixed byte count per code point (as in UTF-32), there is not a fixed byte count per displayed character due to combining characters. Considering these incompatibilities and other quirks among different encoding schemes, handling Unicode data with the same (or compatible) protocol throughout and across the interfaces (e.g. using an API/library, handling Unicode characters in client/server model, etc.) can in general simplify the whole pipeline while simultaneously eliminating a potential source of bugs.

UTF-16 is popular because many APIs date to the time when Unicode was 16-bit fixed width (referred as UCS-2). However, using UTF-16 makes characters outside the Basic Multilingual Plane a special case, which increases the risk of oversights related to their handling. That said, programs that mishandle surrogate pairs probably also have problems with combining sequences, so using UTF-32 is unlikely to solve the more general problem of poor handling of multi-code-unit characters.

If any stored data is in UTF-8 (such as file contents or names), it is very difficult to write a system that uses UTF-16 or UTF-32 as an API. This is due to the oft-overlooked fact that the byte array used by UTF-8 can physically contain invalid sequences. For instance, it is impossible to fix an invalid UTF-8 filename using a UTF-16 API, as no possible UTF-16 string will translate to that invalid filename. The opposite is not true: it is trivial to translate invalid UTF-16 to a unique (though technically invalid) UTF-8 string, so a UTF-8 API can control both UTF-8 and UTF-16 files and names, making UTF-8 preferred in any such mixed environment. An unfortunate but far more common workaround used by UTF-16 systems is to interpret the UTF-8 as some other encoding such as CP-1252 and ignore the mojibake for any non-ASCII data.

For communication and storage

UTF-16 and UTF-32 do not have endianness defined, so a byte order must be selected when receiving them over a byte-oriented network or reading them from a byte-oriented storage. This may be achieved by using a byte-order mark at the start of the text or assuming big-endian (RFC 2781). UTF-8, UTF-16BE, UTF-32BE, UTF-16LE and UTF-32LE are standardised on a single byte order and do not have this problem.

If the byte stream is subject to corruption then some encodings recover better than others. UTF-8 and UTF-EBCDIC are best in this regard as they can always resynchronize after a corrupt or missing byte at the start of the next code point; GB 18030 is unable to recover until the next ASCII non-number. UTF-16 can handle altered bytes, but not an odd number of missing bytes, which will garble all the following text (though it will produce uncommon and/or unassigned characters). If bits can be lost all of them will garble the following text, though UTF-8 can be resynchronized as incorrect byte boundaries will produce invalid UTF-8 in almost all text longer than a few bytes.

In detail

The tables below list the number of bytes per code point for different Unicode ranges. Any additional comments needed are included in the table. The figures assume that overheads at the start and end of the block of text are negligible.

Eight-bit environments

Seven-bit environments

This table may not cover every special case and so should be used for estimation and comparison only. To accurately determine the size of text in an encoding, see the actual specifications.

Endianness does not affect sizes (UTF-16BE and UTF-32BE have the same size as UTF-16LE and UTF-32LE, respectively). The use of UTF-32 under quoted-printable is highly impractical, but if implemented, will result in 8–12 bytes per code point (about 10 bytes in average), namely for BMP, each code point will occupy exactly 6 bytes more than the same code in quoted-printable/UTF-16. Base64/UTF-32 gets 5+1⁄3 bytes for any code point.

An ASCII control character under quoted-printable or UTF-7 may be represented either directly or encoded (escaped). The need to escape a given control character depends on many circumstances, but newlines in text data are usually coded directly.

Compression schemes

BOCU-1 and SCSU are two ways to compress Unicode data. Their encoding relies on how frequently the text is used. Most runs of text use the same script; for example, Latin, Cyrillic, Greek and so on. This normal use allows many runs of text to compress down to about 1 byte per code point. These stateful encodings make it more difficult to randomly access text at any position of a string.

These two compression schemes are not as efficient as other compression schemes, like zip or bzip2. Those general-purpose compression schemes can compress longer runs of bytes to just a few bytes. The SCSU and BOCU-1 compression schemes will not compress more than the theoretical 25% of text encoded as UTF-8, UTF-16 or UTF-32. Other general-purpose compression schemes can easily compress to 10% of original text size. The general-purpose schemes require more complicated algorithms and longer chunks of text for a good compression ratio.

Unicode Technical Note #14 contains a more detailed comparison of compression schemes.

Historical: UTF-5 and UTF-6

Proposals have been made for a UTF-5 and UTF-6 for the internationalization of domain names (IDN). The UTF-5 proposal used a base 32 encoding, where Punycode is (among other things, and not exactly) a base 36 encoding. The name UTF-5 for a code unit of 5 bits is explained by the equation 2⁵ = 32. Section 2, "UTF-5 definition", of the RFC clarifies the unusual structure of UTF-5:

In UTF-5, each character is encoded using a sequence of 1 to 8 octets. [...] Take note that UTF-5 is not a sequence of quintets but a sequence of octets where each octets are in the alphanumeric range. Alpha numeric is defined as A to V (uppercase only) and 0 to 9 in this context.

The UTF-6 proposal added a running length encoding to UTF-5; here 6 simply stands for UTF-5 plus 1.

The IETF IDN WG later adopted the more efficient Punycode for this purpose.

Not being seriously pursued

UTF-1 never gained serious acceptance. UTF-8 is much more frequently used.

The nonet encodings UTF-9 and UTF-18 are April Fools' Day RFC joke specifications, although UTF-9 is a functioning nonet Unicode transformation format, and UTF-18 is a functioning nonet encoding for all non-Private-Use code points in Unicode 12 and below, although not for Supplementary Private Use Areas or portions of Unicode 13 and later.