Brazilian Residential Property Price Indices

Comprehensive collection of all Brazilian residential property price indices.

Retrieve this dataset with get_dataset() using the name "rppi".

rppi <- get_dataset("rppi")
rppi_ivgr <- get_dataset("rppi", table = "ivgr")

Source

Multiple (FIPE/ZAP, IVGR, IGMI, IQA, IQAIW, IVAR, SECOVI-SP)

Details

Source: Multiple (FIPE/ZAP, IVGR, IGMI, IQA, IQAIW, IVAR, SECOVI-SP)
Geography: Brazil
Frequency: monthly
Coverage: varies by index
Tables: "fipezap", "ivgr", "igmi", "iqa", "iqaiw", "ivar", "secovi_sp", "sale", "rent", "all" (default: "fipezap")

Index methodologies vary by source; base periods normalized where possible.

Table "fipezap" (FIPE-ZAP Index)

FIPE-ZAP residential property price index. This is the default table. Coverage: Major cities.

date: Reference month.
name_muni: City name or aggregate (e.g. Índice Fipezap).
market: Market segment: residential or commercial.
rent_sale: Transaction type: sale or rent.
variable: Measure: index, chg, acum12m, price_m2, or yield.
rooms: Number of bedrooms (total, 1, 2, 3, or 4).
value: Value of the measure.

Table "ivgr" (IVGR - Índice de Valores Gerais Residenciais)

General residential values index. Coverage: National.

date: Reference month.
name_geo: Geographic area (Brazil).
index: Price index level.
chg: Month-on-month change of the index.
acum12m: Accumulated 12-month change of the index.

Table "igmi" (IGMI - Índice Geral do Mercado Imobiliário)

General real estate market index. Coverage: São Paulo.

date: Reference month.
name_muni: City name or national aggregate.
index: Price index level.
chg: Month-on-month change of the index.
acum12m: Accumulated 12-month change of the index.

Table "iqa" (IQA - Índice QuintoAndar)

QuintoAndar rent price index. Coverage: Major cities.

date: Reference month.
name_muni: City name.
index: Rent index level.
chg: Month-on-month change of the index.
acum12m: Accumulated 12-month change of the index.

Table "iqaiw" (IQAIW - Índice QuintoAndar ImovelWeb)

QuintoAndar ImovelWeb hedonic rent price index. Coverage: Major cities (6 cities).

date: Reference month.
name_muni: City name.
rooms: Number of bedrooms (total, 1, 2, 3, or 4).
index: Rent index level.
chg: Month-on-month change of the index.
acum12m: Accumulated 12-month change of the index.

Table "ivar" (IVAR - Índice de Valores de Aluguéis Residenciais)

Residential rent values index. Coverage: National.

date: Reference month.
name_muni: City name or national aggregate.
index: Rent index level.
chg: Month-on-month change of the index.
acum12m: Accumulated 12-month change of the index.

Table "secovi_sp" (SECOVI-SP Index)

São Paulo real estate syndicate index. Coverage: São Paulo.

date: Reference month.
name_muni: City name (São Paulo).
index: Rent index level.
chg: Month-on-month change of the index.
acum12m: Accumulated 12-month change of the index.

Table "sale" (Stacked Sale Indices)

Harmonized combination of all sale-related indices with source column.

source: Index source: IVG-R, IGMI-R, or FipeZap.
date: Reference month.
name_muni: City name or aggregate (e.g. Brazil).
index: Price index level (each source has its own base period).
chg: Month-on-month change of the index.
acum12m: Accumulated 12-month change of the index.

Table "rent" (Stacked Rent Indices)

Harmonized combination of all rent-related indices with source column.

source: Index source: IVAR, IQAIW, or FipeZap.
date: Reference month.
name_muni: City name or aggregate (e.g. Brazil).
index: Rent index level (each source has its own base period).
chg: Month-on-month change of the index.
acum12m: Accumulated 12-month change of the index.

Table "all" (All Indices Combined)

Complete stacked dataset with transaction_type indicator.

source: Index source (e.g. IVG-R, IGMI-R, IVAR, IQAIW, FipeZap).
date: Reference month.
name_muni: City name or aggregate (e.g. Brazil).
index: Index level (each source has its own base period).
chg: Month-on-month change of the index.
acum12m: Accumulated 12-month change of the index.
transaction_type: Transaction type: sale or rent.