Trans-activists often claim that there has never been an incident of a woman being assaulted by a trans woman in women’s space. This is simply not true. There have been many such incidents, and this curated list is an attempt to demonstrate this, as well as the dangers for women of making spaces gender neutral. The data is a work in progress and new incidents are recorded daily, so this should not be regarded as exhaustive.
Legislation allowing males to self-identity as trans women with no medical gatekeeping is thus extremely dangerous for women. It it is important for an issue as contentious as this that policy decisions be based on actual data and incidents, not politically correct memes, particularly where women’s safety from male offenders is involved.
We do not believe that all trans women are a bunch of violent sex offenders and we do not wish to portray them as such, or to contribute toward hate speech directed at trans people. However, sex-segregated spaces were hard-won by feminist activism, and exist to protect women from male violence. There is currently no evidence to suggest that trans women stop committing crimes at male rates after transition, and some research exists to suggest that their crime rates remain the same. We do not insist on segregated spaces because all men are violent; we insist on them because a substantial proportion of them are violent, and it should not be made women’s responsibility to tell the difference. The same is true of trans women, and feminists collect this data because governments, having capitulated to the gender identity lobby, refuse to.
We understand that some of the offenders are cross-dressing men and have tried to indicate this where known. However, again, it should not be made women’s problem to tell the difference, particularly in spaces where we are already vulnerable and at risk. In the same vein, it is true that determined criminals will not be stopped by a sign on a toilet door, for example; but this is equally true of men’s and gender-neutral facilities. Currently, women can at least accost someone who appears to be male if he enters a space reserved for women, and call a security officer. If proposed gender self-identification legislation is passed, this will potentially become a hate crime. In institutional contexts such as prisons, hospitals and shelters, the problem is even more serious as women are both vulnerable and unable to escape.
Trans women are also at risk from male violence; this is not contentious, although incidents in Europe and the United Kingdom are relatively rare. We support the establishment of facilities which provide trans people the protection and dignity they need, and which afford them a degree of safety from violent and transphobic men. We oppose measures which make these facilities available at women’s expense, or which prioritise gender identity over reproductive sex.
A final note: it should not be up to women to collect this data in the first place. The relevant authorities should be collecting, analysing and publishing it as part of the input into proposed legislation changes. As a minimum, crime data should include sex and gender identity (as separate fields) of both perpetrator and victim. These fields are also valuable in assessing healthcare needs, funding allocations, shelter requirements and a host of other social services, and should be captured as a default. (I’ve written to ONS about this in my personal capacity).
Using the data table:
Note that the table is wide and that there is a horizontal scroll bar at the bottom which will allow you to see additional fields to the right.
The empty fields at the foot of each column can be used to filter the data. Type in the value you want to filter by in the relevant filter field, and the data will redisplay showing only records with that value. Use the Clear Filter button to clear all filters.
The download functionality downloads the data currently displayed. If you want to download all the data, set records per page to ‘All’ before clicking one of the download buttons.
Special thanks to all the tireless and dedicated women working on capturing, curating and cleaning this data, for which we are very grateful. You know who you are.
You are trying to load a table of an unknown type. Probably you did not activate the addon which is required to use this table type.