Brazilian Cities
A collection of 79 attributes from Brazilian Cities
@kaggle.crisparada_brazilian_cities
A collection of 79 attributes from Brazilian Cities
@kaggle.crisparada_brazilian_cities
Brazil is the world's fifth-largest country by area, with 8.5 million square kilometer, and the fifth most populous, with over 208 million people.
The Federative Republic of Brazil is composed of the union of the 26 states, the Federal District, and the 5,570 municipalities.
This dataset is a compilation of several publicly available information about Brazilian Municipalities.
The data was retrieved from several websites, as presented below. I processed and merged all data by city name, resulting in 79 fields for every city.
I am including the source of the information, in case the user wishes to understand better the information that is being analised.
FIELD - DESCRIPTION - REFERENCE - UNIT - SOURCE
CITY - Name of the City
STATE - Name of the State
CAPITAL - 1 if Capital of State
IBGE_RES_POP - Resident Population - 2010 - source
IBGE_RES_POP_BRAS - Resident Population Brazilian - 2010 - source
IBGE_RES_POP_ESTR - Redident Population Foreigners - 2010 - source
IBGE_DU - Domestic Units Total - 2010 - source
IBGE_DU_URBAN - Domestic Units Urban - 2010 - source
IBGE_DU_RURAL - Domestic Units Rural 2010 - source
IBGE_POP - Resident Population Regular Urban Planning - 2010 - source
IBGE_1 - Resident Population Regular Urban Planning - until 1 y.o - 2010 - source
IBGE_1-4 - Resident Population Regular Urban Planning - from 1 to 4 y.o - 2010 - source
IBGE_5-9 - Resident Population Regular Urban Planning - from 4 to 9 y.o - 2010 - source
IBGE_10-14 - Resident Population Regular Urban Planning - from 10 to 14 y.o - 2010 - source
IBGE_15-59 - Resident Population Regular Urban Planning - from 15 to 59 y.o 2010 - source
IBGE_60+ - Resident Population Regular Urban Planning - above 60 y.o - 2010 - source
IBGE_PLANTED_AREA - Planted Area (hectares) - 2017 - 1 hectare (1 hectare = 10,000 square meters) - source
IBGE_CROP_PRODUCTION_$ - Crop Production - 2017 - $ 1,000 reais - source
IDHM Ranking - HDI Ranking - 2010 - source
IDHM - HDI Human Development Index - 2010 - source
IDHM_Renda - HDI GNI Index - 2010 - source
IDHM_Longevidade - HDI Life Expectancy index - 2010 - source
IDHM_Educacao HDI Education index - 2010 - source
LONG - City Longitude - 2010 - source
LAT - City Latitude - 2010 - source
ALT - City Elevation (meters) - 2010 - 1 meter - source
PAY_TV - PayTV users - 2019-03 - source
FIXED_PHONES - Fixed Fones (not cell phones) users - 2019-03 - source
AREA - City area (square kilometers) - 2018 - 1 square Kilometer (1 kilometer = 1,000,000 square meters) - source
REGIAO_TUR - Turism Category Region - 2017 - source
CATEGORIA_TUR - Turism Category - 2017 - source
ESTIMATED_POP - Estimated Population - 2018-07 - source
RURAL_URBAN - Rural or Urban Tipology - 2016 - source
GVA_AGROPEC - Gross Added Value - Agropecuary - 2016 - $ 1,000 reais - source
GVA_INDUSTRY - Gross Added Value - Industry - 2016 - $ 1,000 reais - source
GVA_SERVICES - Gross Added Value - Services - 2016 - $ 1,000 reais - source
GVA_PUBLIC - Gross Added Value - Public Services - 2016 - $ 1,000 reais - source
GVA_TOTAL Total Gross Added Value - 2016 - $ 1,000 reais - source
TAXES - Taxes - 2016 - $ 1,000 - reais - source
GDP - Gross Domestic Product - 2016 - $ 1,000 reais - source
POP_GDP - Population - 2016 - source
GDP_CAPITA - Gross Domestic Product per capita - 2016 - source
GVA_MAIN - Activity with higher GVA contribution - 2016 - source
MUN_EXPENDIT - Municipal expenditures - in reais - 2016 - $ 1 real - source
COMP_TOT - Total number of companies 2016 - source
COMP_A Number of Companies: Agriculture, livestock, forestry, fishing and aquaculture - 2016 - source
COMP_B Number of Companies: Extractive industries 2016 - source
COMP_C Number of Companies: Industries of transformation - 2016 - source
COMP_D Number of Companies: Electricity and gas - 2016 - source
COMP_E Number of Companies: Water, sewage, waste management and decontamination activities - 2016 - source
COMP_F Number of Companies: Construction - 2016 - source
COMP_G - Number of Companies: Trade; repair of motor vehicles and motorcycles - 2016 - source
COMP_H - Number of Companies: Transport, storage and mail - 2016 - source
COMP_I - Number of Companies: Accommodation and food - 2016 - source
COMP_J - Number of Companies: Information and communication - 2016 - source
COMP_K - Number of Companies: Financial, insurance and related services activities - 2016 - source
COMP_L - Number of Companies: Real estate activities - 2016 - source
COMP_M - Number of Companies: Professional, scientific and technical activities - 2016 - source
COMP_N - Number of Companies: Administrative activities and complementary services - 2016 - source
COMP_O - Number of Companies: Public administration, defense and social security - 2016 - source
COMP_P - Number of Companies: Education - 2016 - source
COMP_Q - Number of Companies: Human health and social services - 2016 - source
COMP_R - Number of Companies: Arts, culture, sport and recreation - 2016 - source
COMP_S - Number of Companies: Other service activities - 2016 - source
COMP_T - Number of Companies: Domestic services - 2016 - source
COMP_U - Number of Companies: International and other extraterritorial institutions - 2016 - source
HOTELS - Total number of hotels - 2019-03 - source
BEDS - Total number of hotel beds - 2019-03 - source
Pr_Agencies - Total number of private bank agencies - 2019-02 - source
Pu_Agencies - Total number of public bank agencies - 2019-02 - source
Pr_Bank - Total number of private banks - 2019-02 - source
Pu_Bank - Total number of public banks 2019-02 - source
Pr_Assets - Total amount of private bank assets - 2019-02 $ 1 real source
Pu_Assets - Total amount of public bank assets - 2019-02 $ 1 real source
Cars - Total number of cars - 2019-01 - source
Motorcycles - Total number of motorcycles, scooters, moped - 2019-01 - source
Wheeled_tractor - Total number of wheeled tractors - 2019-01 - source
UBER - 1 if UBER 2019-05 - source
MAC - Total number of Mac Donalds stores - 2018-11 - source
WALLMART - Total number of Walmart Stores - 2018-12 - source
POST_OFFICES - Total number of post offices - 2019-05 - source
Hopefully this data would help students that wish to train and improve their analytical skills and also whoever is interested in learning more about my country ! :-)
Anyone who has the link will be able to view this.