Addressing False Claims After Community Land Trust Bill Rejected by Rio de Janeiro City Council
Clique aqui para Português The bill received 23 votes in favor but needed 26 to pass. Coordinated efforts by right-wing city council members, coupled with the spread of false claims about Community Land Trusts, proved [...]
On June 25, 2026, the Rio de Janeiro City Council voted on the Community Land Trust (CLT) Bill. The bill received 23 votes in favor but needed 26 to pass, falling three votes short. Right-wing city council members, along with the spread of false claims about CLTs, contributed to the bill's defeat. The rejection missed an opportunity to guarantee the right to housing in the city.
The CLT bill, introduced by Councilwoman Tainá de Paula, aimed to establish the legal framework for CLTs, which are innovative regularization tools that can protect urban communities from displacement, combat real estate speculation, and strengthen residents' leadership. Despite support from a majority of council members, the bill required a two-thirds supermajority to pass, which it did not achieve.
CLTs are a global phenomenon, with a history of nearly 60 years. They work by having the land owned collectively by the community, while homes belong to individual residents. Each family retains autonomy to manage their home as they see fit, guided by collectively approved bylaws. CLTs have been adopted worldwide and are recognized by the United Nations as a housing policy instrument.
The rejection of the CLT bill in Rio de Janeiro sparked criticism from the municipal government, which recognized CLTs as a crucial housing policy strategy. The city's PMHIS plan committed to implementing one CLT every two years, totaling two CLTs by 2029. Despite the bill's rejection, CLTs gained significant visibility in Rio de Janeiro during the 2022-2023 revision of the city's Master Plan. Civil society organizations advocated for their inclusion in legislation, which was approved at the end of 2023.
Written by urgent.news from RioOnWatch's reporting — not their text. Machine-written — it may contain errors, so check the original before relying on it.