Registration, area, economic activity, and responsibility records for Brazilian construction works.
Retrieve this dataset with query_dataset() using the name "cno".
cno <- query_dataset("cno")
cno$constructionsDetails
Source: Receita Federal do Brasil - Cadastro Nacional de Obras
URL: https://dados.gov.br/dados/conjuntos-dados/cadastro-nacional-de-obras-cno
Geography: Brazil
Frequency: annual snapshots
Coverage: November 2018-present, including migrated CEI records with earlier start dates
Access mode:
queryTables:
"constructions","areas","cnaes","responsibilities"
Column names are normalized to English, while source labels and anomalous values are retained without analytical cleaning.
Table "constructions" (Constructions)
One row per CNO registration.
- cno
Twelve-digit CNO registration identifier. Stored as character to preserve leading zeroes.
- country_code
Three-digit country code published by Receita Federal.
- country_name
Country name published by Receita Federal.
- start_date
Declared start date of the construction work. Historical sentinel values are retained.
- responsibility_start_date
Start date of the current responsibility period.
- registration_date
Date on which the work was registered in CNO.
- linked_cno
Linked CNO registration when supplied by Receita Federal.
- postal_code
Postal code for works in Brazil. Stored as character.
- responsible_tax_id
Fourteen-digit identifier of the responsible legal person. Receita Federal suppresses CPF values.
- responsible_role_code
Four-digit code for the responsible party's role.
- construction_name
Name assigned to the construction, not the responsible party's name.
- municipality_tom_code
Four-digit Receita Federal TOM municipality code, not an IBGE municipality code.
- municipality_name
Municipality name published by Receita Federal.
- street_type
Street type.
- street_name
Street name.
- street_number
Street number or other source value such as S/N.
- neighborhood
Neighborhood name.
- state
State field as published. Usually a two-letter UF abbreviation; source anomalies are retained.
- postal_box
Postal box for works outside Brazil.
- address_complement
Additional address information.
- measurement_unit
Unit used to measure the work.
- total_area
Total measurement reported for the work, expressed in measurement_unit. Source outliers are retained.
- status_code
Two-digit CNO status code.
- status_date
Date associated with the current status.
- responsible_legal_name
Legal name of the responsible legal person when published.
- plus_code
Location code published by Receita Federal. Invalid and sentinel source values are retained.
Table "areas" (Construction Areas)
Area records classified by category, destination, structure, and area type.
- cno
CNO registration identifier joining to constructions.cno.
- construction_category
Category reported for the construction area.
- destination
Intended use reported for the work area.
- structure_type
Construction structure type.
- area_type
Principal or complementary area.
- complementary_area_type
Complementary-area classification, when applicable.
- area
Reported area in square metres. Source duplicates and outliers are retained.
Table "cnaes" (Economic Activities)
CNAE economic activities associated with each construction work.
- cno
CNO registration identifier joining to constructions.cno.
- cnae
Seven-digit CNAE activity code. Stored as character.
- registration_date
Date on which the activity was registered.
Table "responsibilities" (Responsibility Periods)
Responsible-party roles and their periods for each construction work.
- cno
CNO registration identifier joining to constructions.cno.
- start_date
Start date of the responsibility period.
- end_date
End date of the responsibility period, when applicable.
- registration_date
Date on which the responsibility was registered.
- responsible_role_code
Four-digit code for the responsible party's role.
- responsible_tax_id
Fourteen-digit identifier of the responsible legal person. Receita Federal suppresses CPF values.
See also
get_dataset(), query_dataset(), list_datasets(), get_dataset_info()
Other datasets:
abecip,
abrainc,
bcb_realestate,
bcb_series,
fgv_ibre,
mcmv,
paic,
pim_pf_construction,
pnad_housing,
rppi,
rppi_bis,
secovi,
sinapi