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Brazil Data Book

Last update: September 2025

This page contains information about some of the data available in the FEWS NET Data Explorer (FDE) for Brazil. This is not a comprehensive guide.

For information about using the filters and fields for specific domains in the FDE, see Choose a Data Domain.

Summary table

ISO 3166-1 codes

Alpha 2: BR, Alpha 3: BRA, Numeric: 076

Administrative units

States, municipios, districts

Agricultural seasons

Primeira, Segunda, Terceira

Major crops

Wheat, maize, soybean

Country food security context

Brazil has faced a decline in food security since 2015, with high food inflation, a weakening labor market, and the dismantling of social protection programs contributing to rising food insecurity and hunger, particularly affecting vulnerable regions and populations. Despite a significant decrease in severe food insecurity in 2023, overall progress remains challenged by factors like more frequent and severe extreme weather events, deforestation, and policies favoring large agribusiness over small-scale farmers.

Brazil is a global agricultural powerhouse, ranking among the world's largest exporters of various commodities like soybeans, coffee, sugar, and beef. Earnings from this sector are a fundamental pillar of the Brazilian economy, contributing substantially to the country's GDP, employment, and foreign exchange earnings. The country’s dynamic large-scale corporate agricultural sector benefits from a policy environment which favors commercial farms and exports, but the smaller family farming sector remains crucial for employment. The entire sector is increasingly vulnerable to extreme weather events like droughts and heatwaves, deforestation, and a decline in soil fertility, which pose both short- and long-term risks to its continuing viability. 

Constant high food inflation has reduced household purchasing power, making food less accessible for many. Vulnerable population groups and the North and Northeast regions of the country generally experience higher rates of food insecurity than others. Economic crises and a politically unstable environment have led to increased unemployment, declining real wages and a dismantling of key social protection programs, like the Food Acquisition Program (PAA).

Statistical reporting units

The first three levels of the actual administrative unit hierarchical structure of the country include the following entities, in this order:

Admin 1: States

Admin 2: Municipios

Admin 3: Districts

Administrative (admin) units are the geographical areas into which a country is divided. FEWS NET uses the following terminology: National boundary = admin 0, First sub-national division = admin 1 (e.g., states in the United States), Second sub-national division = admin 2 (e.g., counties in the United States), and so on.

Municipio-level statistical reporting units

Brazil, and specifically the Brazilian Institute of Geography and Statistics (Instituto Brasileiro de Geografia e Estatística, IBGE), uses a combination of administrative units (states, municipios) and IGBE-defined statistical regions (meso-region, micro-region) as a national 4-level hierarchical structure for municipio-level statistical reporting as follows:

  • State

  • Meso-Region

  • Micro-Region

  • Municipio

FEWS NET has adopted this hybrid statistical-reporting structure to organize Brazil’s crop statistics. 

Crop data

Explore our crop data.

View our documentation on using the Crop Domain.

The Brazilian crop dataset is the largest in the FEWS NET Crop domain, and the largest dataset of any included in the FEWS NET Data Warehouse. For the 1974-2023 period, there are more than 3.5 million crop results, or about 14 million datapoints.

Crop estimate data sources

As of 19381, Brazilian municipio-level crop statistics have been collected, managed and disseminated by the Brazilian Institute of Geography and Statistics (Instituto Brasileiro de Geografia e Estatística, IBGE). Municipality crop statistics can be found as a well-documented long-duration time-series referred to as the Produção Agrícola Municipal (PAM) dataset at IGBE’s Sistema IBGE de Recuperação Automática – SIDRA.

These data are organized and downloadable in the structure of annual tables (tabela) for which a user may specify desired features of a subset of crop data. Table 1612 in the PAM data is a record of all temporary crops (planted and harvested within an annual cycle).  

Since 2003, a small number of crops have also been broken out into other tables to provide seasonal data. FEWS NET uses Table 839 for seasonal maize (milho) results, Table 1000 for seasonal common beans (feijão), Table 1001 for seasonal potatoes (batata-doce) and Table 1002 for seasonal groundnut (amendoim) data.

Crop reporting units

As described above, FEWS NET uses the IBGE municipio-level statistical reporting unit structure to organize its crop statistics into a Crop Region “R” type set of boundaries. The structure includes the following hierarchical entities:

Crop Region 1: 26 states (unidad federativa, UF) and one federal district (distrito federal) serve as the first level in Brazil’s crop statistics reporting. The federative units of Brazil are subnational entities with some autonomy (self-government, self-regulation, and self-collection) and their own government and constitution, which together form the Federative Republic of Brazil. The states are generally based on historical, conventional borders which have developed over time.

Crop Region 2: Meso-geographic regions (Meso-Região Geográfica), of which there are 133 as of 2024, serve as the second level in Brazil’s crop reporting. Although the Municipality (see Crop Region 4, below) is the country’s true second-level administrative unit, FEWS NET uses an IBGE convention in which this geographic region is identified as the second level unit in its crop statistics, because it helpfully groups municipalities found in large geographically diverse “States” into relatively homogenous sub-state areas. The Meso-geographic Region has no administrative purpose.

Crop Region 3: Micro-geographic regions (Micro-Região Geográfica), of which there are 554 as of 2024, serve as the third level in the country’s crop statistics reporting hierarchy. Within each Meso-geographic Region, Micro-geographic Regions further divide the area into relatively homogenous sub-Meso-geographic Region areas. The Micro-geographic Region has no administrative purpose.

Crop Region 4: Municipality (Municipio). The country is divided into more than 5,570 municipalities which serve as the fourth, and currently final, reporting level for the country’s crop statistics. There are no municipalities in the Federal District, which functions both as a state and a municipality. Municipalities can be subdivided, only for administrative purposes, into districts and sub-districts. The IBGE maintains an annual list of municipalities over time and a list of municipio name changes between 1939-present.

A future Crop Region 5?  Consistent with the crop region hierarchy described above, FEWS NET crop data users may find a need in the future for a Crop Region 5 to capture District-level crop data from the administrative unit immediately below the municipio.  Although there is no regular reporting mechanism for district-level crop statistics, many districts do enumerate their crop production and those results are presented in the standard national and annual municipio-level reporting as municipio crop statistics for municipios that have yet to be officially created. As such, their production data must either be added to their parent municipio or treated as an un-official municipio.  FEWS NET treats them as a municipio, identifiable by their FEWS NET ID (FNID, see the example below) which incorporates an identifier for the year of their subsequent creation as a municipio.

Example: 1984 crop production in Boa Vista district, Tocantins municipio might have an FNID like this one: BR1992R41700456, indicating that Boa Vista became an official municipio in 1992, but was reporting well before then.

The FEWS NET Crop data Zone field

Given the large size of the country, and depending upon user needs, there is an additional frequently-used method Brazil uses to divide the country into a small number of relatively homogenous zones. It has created the Grande Região, (Grand region), a concept that divides the country into a total of 5 regions (Norte/North, Nordeste/NorthEast, Centro-Oeste/Center-West2, Sudeste/SouthEast and Sul/South). These large regions have been defined upon agro-ecological and other features which lend a relatively homogenous internal character to each individually. Grand regions have no administrative purpose. FEWS NET crop statistic data carry the Brazilian Grande Região notation to identify the relative location of each municipio in this framework. 

Crop data reporting unit evolution

The IBGE-sourced PAM crop statistics data in the FEWS Data Warehouse cover a 50-year period (1974 to 2023), and relate to the municipios, and in some cases the districts, which existed in Brazil in each of those years. The number of reporting units increased from roughly 4,000 in 1974 to 5,571 in 2023. 

In order to compare Brazil’s area planted, production, and yield over time at a sub-national level (generally, municipio), with agro-climatic and other socio-economic data each year, it is important to associate the crop statistic for each unit with the unit’s location and surface area each year. To do this, FEWS NET compiles a record of the changes over time in the shape and size of all reporting units and records this information in a relationship table. The relationship table contains the name of each municipio-level reporting unit, its place in the national hierarchy of reporting units, and any changes in the unit’s shape or location that occur due, usually, to splitting (cutting one unit into two, or more), or merging (combining two reporting units into one). Additionally, it is important to record any name changes that are applied over time.

The Brazil 1974-2023 relationship table contains approximately 134,000 rows. A row includes the name, year, and FEWS NET identification code (FNID) of a reporting unit in a previous year (from-unit), and the name, year, and FNID of that same, or altered, reporting unit in the following year (to-unit), along with other associated identifying information. 

The FEWS NET FNID has a standard structure, as shown in the example below. Learn more about FNIDs.

Example

For Brazil, a typical FNID municipio code looks like BR1974R417020804 which represents:

  • BR: Brazil

  • 1974: The year of the annual boundary set that was used to produce the statistics

  • R: Crop region

  • 4: This is at level 4 in the national hierarchy of reporting units

  • 17: The state/UF code for Tocantins

  • 02: The Meso-Region code for Palmas

  • 08: The Micro-region code for Porto Nacional

  • 04: The Municipio code for Chapada da Natividade

Because there are numerous municipios with the same name, they are identified in FEWS NET crop statistics with both their official name and, in parentheses following the name, the two-character alpha code (there are also numeric UF codes) representing the state (unidad federativa or UF) they are located in.

Example: FEWS NET refers to the municipio used in the previous example as Chapada da Natividade (TO).

It is important to know that the IBGE also permanently identifies each municipio with its own 7-digit numerical code which consists of the State (UF) code, and its own 5-digit municipio code, in which the code of Chapada da Natividade (TO) is 1705102. The FEWS NET Relationship Table also records the IBGE code for each municipio.

For each year in which there are changes of shape in any municipio, a new annual set of FNIDs is created for all, reflected in the year code portion of the FNID. Each reporting unit in the Relationship Table will therefore contain in as many rows as there were annual FNID sets in the 1974-2023 period. 

For years in which there are no changes to any municipios, a new annual set is not created. There were no changes in the number and/or shape of any municipios in Brazil in 1984, 2002, 2004 to 2012, and 2014 to 2022, which means the maximum number of annual boundary sets for any municipio would be 30 (50 minus 20) for the 1974-2023 period. Notably, every one of the 30 annual boundary sets for Brazil was the result of a split of a pre-existing municipio – there were no merges or redistributions in this period. Learn more about FEWS NET Geographic Unit Relationships.

While there are many cases in Brazilian administrative history of municipios being created in a certain year and then being reversed back to a district status in subsequent years, there is no case in the crop statistics period where crop production moves back and forth between the new and the old municipio. Although there are multiple moments and events which occur to mark the creation of a new municipio in Brazil, FEWS NET uses the commonly reported date of a municipio’s emancipation or emancipação, as reported primarily by the IBGE, as the date by which the municipio came into being. Municipio emancipation dates are given for all 5,571 municipios. Those emancipation dates for the era before 1974 have not been confirmed in the same way that post-1974 dates have been, and there are likely errors and anomalies in them which will not affect the crop statistics. 

Post-1974 emancipation dates are also useful in determining whether a municipio was submitting crop statistics before it became a municipio (i.e. because it was a district at the time), a situation which is actually quite common in the 1974 to 2023 period. If that is the case, then those statistics might lengthen the record of a municipio’s yield and production over time, but it may also mean that there were other districts at the time whose statistics would have to be added together to get an accurate picture of the putative municipio’s total production.

During the 1974-2023 period, the IBGE recorded 122 municipio name changes (see Annex A), consisting of either a minor change in spelling, or an entire change of name. Note that there are a small number of municipios (marked with an asterisk: *) for which IGBE crop statistics still use the old municipio name, requiring an edit to match the FDW’s standard municipio names and codes.

New Brazilian states that were added/changed in the 1974-1988 period include:

  • Amapá, 1988, previously a state territory

  • Roraima, 1988, previously a state territory  

  • Tocantins, 1988, previously a part of Goiás

  • Rondônia, 1982, previously a state territory

  • Mato Grosso do Sul 1977, previously a part of Mato Grosso.

In the Brazil Relationship Table, the crop statistics for municipios which previously belonged to Goiás and were then moved in 1988 to Tocantins are coded as Tocantins municipios over the entire 1974-2023 time period, and do not duplicate any Goiás results during the 1974-1987 period. The same procedure has been applied to the 1974-1987 Mato Gross do Sul municipio crop statistics. In the other three cases, the reported crop statistics simply show up in the reporting (with the conversion of an unincorporated territory to a federal state) and were never associated with any other municipio.   

Year and season definition

The timing of planting and harvests varies widely in this very large country between states, crops, micro-climate zones, and production systems. 

Year definition

The annual crop statistic reporting period is identified by IBGE as January 1 through December 31. Not infrequently, crops will be referred to with a two-year attribution (e.g. 2017/2018), because they may be planted in the last 2-3 months of the first year and are mostly harvested in the second of the two years. Because almost all Brazilian crops are harvested between January and September, the single calendar-year attributed reporting (e.g. 2018) does not introduce ambiguity about annual crop production figures. 

Note, however, that many descriptions of the annual crop cycle in Brazil describe it informally as generally beginning in late September and ending in early September of the following year.

Seasons

Meteorological seasons are opposite to seasons in the Northern Hemisphere: 

  • Spring (Primavera): September 21-December 20

  • Summer (Verão): December 21-March 20

  • Autumn (Outono): March 21-June 20

  • Winter (Inverno): June 21-September 20

However, because the timing of planting and harvests varies widely, defining crop season names and dates for Brazilian crop statistics is an exercise for which FEWS NET’s normal practices are stretched to their limit. 

Prior to 2003, IBGE PAM crop statistics follow the calendar year, describing the product of harvests that occur in a 12-month period between January 1 and December 31. Beginning with 2003, the IBGE began reporting seasonal crop results for:

  • maize (milho)

  • sweet potatoes (batata-doce)

  • beans (feijão)

  • groundnuts (amendoim)

These seasons are defined using the term safra, which is best translated as harvest/colheita or crop, and indicate the sequence of the specified harvest if there are multiple in a year. Thus, there is a first crop/harvest (primeira safra) and there may be a second (segunda). Since 2019, the IBGE has also recognized a third harvest (terceira) in the North and Northeast.  

First, second, and third refer only to a harvest’s sequence among multiple annual harvests for a crop and therefore are not true season descriptions. Indeed, the timing of each of these harvests varies greatly from one state to another, one crop to another, and even one production system to another.  

The IBGE does not provide a finite description of the time period relative to the first, second3, and third crop harvests, but other authoritative sources offer state-by-state planting and harvesting dates for the maize safras. Although not stated, it appears that the other crops for which IBGE provides seasonal results may also consist of multiple, sequential harvests with generally similar timing to the maize crops in each area.

Other crops (wheat, cotton, etc.) are harvested only once per year. While the variation in the planting and harvesting dates is still notable, it is easier to provide a rough guide of the timing of their seasonal growth that is generally applicable for the whole country, even if IBGE identifies their production only as occurring within the calendar year.

The challenge for documenting Brazilian crop production in the FDW is finding a happy medium in how much seasonal timing information to attach to each crop in each state. Too much may suggest, in effect, a false precision and complicate user understanding of seasonal patterns in Brazil. Too little may mislead users who want to broadly compare crop phenological stages and outcomes with earth observation measurements.

image-20250926-193359.png

USDA/IPAD Seasonal Crop Calendar: Brazil, 1st and 2nd (safrinha) corn harvests

image-20250926-193414.png

USDA/IPAD Seasonal Crop Calendar: Brazil, Winter crops

Primary crops

Municipality crop statistics include 31 crops considered temporary (planted and harvested in the same 12 months) and 33 considered permanent (planted crops remain alive for more than 12 months and are harvested more than one time over that same period). FEWS NET generally collects only temporary crop statistics for Brazil. Other metadata is available on the IBGE metadata site.  

Pineapples, sugarcane, castor beans, and cassava are considered temporary cultures of a long duration. They commonly exhibit a vegetative cycle of more than 12 months. Their quantity of production reflects only what was harvested in the calendar year and their area planted reflects the portion of the total area planted which was harvested in the calendar year.

Crop names, in Brazilian Portuguese and English, and FEWS NET crop codes are in the following table:

Crop (Br)

Crop (En)

Crop code

Abacate

Avocado

R01311AB

Abacaxi ou ananás

Pineapple

R01318AA

Abóbora ou jerimum

Squash

R01235AB

Açaí (fruto) - cultivo

Acai

R01319CO

Acelga

Beet

R01219AA

Alcachofra

Artichoke

R01216AA

Alface

Lettuce

R01214AA

Alfafa (forrag. para corte)

Alfalfa crop

R01912AA

Algodão arbóreo em caroço

Cotton, Gossypium arboreum

R01921AB

Alho

Garlic

R01259AB

Amendoim (em casca)

Groundnut in shell

R01422AA

Arroz (em casca)

Rice (paddy)

R01132AA

Asparago

Asparagus

R01211AA

Aveia (em grão)

Oats

R01172AA

Aveia (forrag. para corte)

Oat fodder

R01919AQ

Banana

Banana

R01312AA

Batata-doce (raiz)

Sweet potato

R01591AA

Batata-inglesa

Potato (Irish)

R01510AB

Berinjela

Eggplant

R01233AA

Beterraba

Beet

R01801AA

Brócolis

Broccoli

R01213AB

Cacau (em amêndoa)

Cocoa

R01640AA

Café (em coco)

Coffee

R01610AA

Café arábica (grãos verdes)

Coffee, arabica

R01610AB

Café canephora (grãos verdes)

Coffee, canephora

R01610AC

Caju 

Cashew

R01372AA

Camomila (flores para infusão)

Camomile

R01690AC

Cana para forragem

Sugarcane fodder

R01919CV

Cana-de-açúcar

Sugarcane

R01802AA

Canela (casca)

Cinnamon

R01655AA

Capim elefante napier (forrag. para corte)

Napier grass fodder

R01919AP

Caroço de algodão

Cottonseed

R01432AA

Castanha européia

Chestnut

R01373AA

Cebola

Onion

R01253AA

Cebolinha (folha)

Shallot

R01253AD

Centeio (em grão)

Rye

R01162AA

Cevada (em grão)

Barley

R01152AA

Cevada (forrag. para corte)

Barley fodder

R01919AE

Chá-da-índia

Tea leaves

R01620AA

Chicória (endívia ou escarola)

Chicory

R01214AB

Coco-da-baía

Coconut

R01460AA

Colza (inclusive canola e níger) em grão

Brassica rapa

R01212AC

Couve-flor

Cauliflower

R01213AA

Erva-mate (cancheada) - cultivo

Mate

R01630AA

Ervilha (em grão)

Garden pea

R01705AA

Ervilha (vagem)

Green pea

R01705AA

Fava (em grão)

Broad bean

R01702AA

Feijão (em grão)

Bean

R01701AA

Feijão comum preto 

Black bean

R01701AC

Feijão n.e.a., (adzuki, mungo, de espanha, de lima)

Common bean

R01701AA

Feijão fradinho, caupi, de corda ou macaçar, miúdo em grão

Cowpea

R01706AA

Feijão verde

Green bean

R01342AA

Fumo (em folha)

Tobacco

R01970AA

Gengibre (rizoma)

Ginger

R01657AA

Gergelim (em grão)

Sesame

R01444AA

Girassol (em grão)

Sunflower seed

R01445AA

Hortelã-pimenta ou menta (folha)

Mint

R01654AM

Inhame

Yam

R01593AA

Juta (fibra)

Jute

R01922AH

Lentilha (grão)

Lentil

R01704AA

Linho (semente oleaginosa)

Linseed, for oil

R01441AA

Linho (semente)

Linseed

R01441AA

Louro (folha)

Laurel

R01653AC

Malva (fibra)

Common mallow

R01930AB

Mamona (baga)

Castor bean

R01449AC

Mandioca, aipim ou macaxeira (raiz)

Cassava root

R01592AA

Melão

Melon

R01229AA

Milho verde ou doce mesmo em espiga

Green maize

R01122AE

Milho (em grão)

Maize

R01122AA

Milho (forrag. para corte)

Maize fodder

R01911AA

Mostarda (semente)

Mustard seed

R01442AA

Nabo

Beet

R01212AC

Noz macadâmia

Macadamia

R01379AA

Orégano

Oregano

R01654AN

Pimenta/Pimentão

Pepper

R01231AA

Pluma de algodão

Cotton fiber

R01921AA

Rami (fibra)

Ramie

R01922AD

Repolho

Cabbage

R01212AA

Ruibarbo (raiz)

Rhubarb

R01219BE

Sisal ou agave (fibra)

Sisal

R01922AB

Soja (em grão)

Soybean

R01412AA

Sorgo (em grão)

Sorghum

R01142AA

Sorgo (forrag. para corte)

Sorghum fodder

R01919AV

Tomate

Tomato

R01234AA

Trigo (em grão)

Wheat

R01112AA

Triticale (em grão)

Triticale

R01190AF

Uvas (para vinho, suco ou passas)

Grape

R01330AA

Crop statistics context

Brazil’s Municipality-level crop statistics are available from 1974 to the present, though there may be a one- to two-year lag in publishing the most recent results. Municipios which do not report at least one crop are not reported in the PAM at all.

Notable changes in crop reporting for Brazil include:

  • Area planted began to be reported in 1988.

  • Before 2001, the quantity produced and the yield of all fruits was by number of fruits. Pineapple (abacaxi), and coconuts (coco-da-baía) are still reported by the number of fruits, not metric tons.

  • Triticale and sunflower seed data were first included in the PAM dataset in 2005.

Methodology

There is extensive documentation of IBGE crop estimation methodologies on the IBGE Biblioteca site and in the FDW document management system in the Brazil crop cabinet document.

Annex A: Municipio Name Changes (1974-2023)

There are a small number of municipios for which IGBE crop statistics still use the old municipio name, requiring an edit to match the FDW’s standard municipio names and codes. Municipios whose changes have not been incorporated to IBGE crop statistic reporting are marked with an asterisk: *.

Municpio, Current name

Municipio, Previous Name

Municipio UF (codes)

IBGE Municipio code

Reason

Effective date

Santa Rosa do Purus (AC)

Santa Rosa (AC)

Acre (AC/12)

1200435

Name change

09/12/92

Pedra Branca do Amapari (AP)

Amapari (AP)

Amapa (AP/16)

1600154

Name change

06/12/93

Serra do Navio (AP)

Agua Branca do Amapari (AP)

Amapa (AP/16)

1600055

Name change

22/06/93

Arafas (BA)

Arafas (BA)

Bahia (BA/29)

2902054

Spelling change

01/09/16

*luiu (BA)

luiu (BA)

Bahia (BA/29)

2917334

Spelling change

01/09/16

Muquem do Sao Francisco (BA)

Muquem de Sao Francisco (BA)

Bahia (BA/29)

2922250

Spelling change

01/09/16

Barro Preto (BA)

Governador Lomanto Junior (BA)

Bahia (BA/29)

2903300

Name change

21/05/03

Livramento de Nossa

Senhora (BA)

Livramento do Brumado (BA)

Bahia (BA/29)

2919504

Name change

20/10/98

Erico Cardoso (BA)

Agua Quente (BA)

Bahia (BA/29)

2900504

Name change

15/07/85

Erere (CE)

Erere (CE)

Ceara (CE/23)

2304277

Spelling change

21/01/20

Itapaje (CE)

Itapage (CE)

Ceara (CE/23)

2306306

Name change

08/09/15

AtHio Vivacqua (ES)

At^lio Vivacqua (ES)

Esp^rito Santo (ES/32)

3200706

Name change

11/09/20

*Sao Luiz do Norte (GO)

Sao Lu^z do Norte (GO)

Goias (GO/52)

5220157

Spelling change

13/05/16

Divinopolis de Goias (GO)

Galheiros (GO)

Goias (GO/52)

5208301

Name change

14/07/89

Santo Antonio de Leverger (MT)

Santo Antonio do Leverger (MT)

Mato Grosso (MT/51)

5107800

Name change

09/03/22

Poxoreu (MT)

Poxoreo (MT)

Mato Grosso (MT/51)

5107008

Name change

29/10/15

Luciara (MT)

Luciara (MT)

Mato Grosso (MT/51)

5105309

Spelling change

27/03/07

Sao Jose dos Quatro Marcos (MT)

Quatro Marcos (MT)

Mato Grosso (MT/51)

5107107

Name change

10/01/84

Sao Jose do Rio Claro (MT)

Rio Claro (MT)

Mato Grosso (MT/51)

5107305

Name change

19/05/81

Amambai (MS)

Amamba^ (MS)

Mato Grosso do Sul

(MS/50)

5000609

Spelling change

27/03/07

Barao do Monte Alto (MG)

Barao de Monte Alto (MG)

Minas Gerais (MG/31)

3105509

Spelling change

25/07/24

Pingo-d'Agua (MG)

Pingo d'Agua (MG)

Minas Gerais (MG/31)

3150539

Name change

11/09/20

Sao Tome das Letras (MG)

Sao Thome das Letras (MG)

Minas Gerais (MG/31)

3165206

Spelling change

23/09/19

Dona Euzebia (MG)

Dona Eusebia (MG)

Minas Gerais (MG/31)

3122900

Name change

19/03/19

Passa Vinte (MG)

Passa-Vinte (MG)

Minas Gerais (MG/31)

3147808

Spelling change

01/09/16

Brazopolis (MG)

Brasopolis (MG)

Minas Gerais (MG/31)

3108909

Name change

14/08/13

Itabirinha (MG)

Itabirinha de Mantena (MG)

Minas Gerais (MG/31)

3131802

Name change

11/01/01

Piumhi (MG)

Piui (MG)

Minas Gerais (MG/31)

3151503

Name change

15/07/98

Mathias Lobato (MG)

Vila Matias (MG)

Minas Gerais (MG/31)

3171501

Name change

21/12/91

Alto Jequitiba (MG)

Presidente Soares (MG)

Minas Gerais (MG/31)

3153509

Name change

21/10/91

Cachoeira de Pajeu (MG)

Andre Fernandes (MG)

Minas Gerais (MG/31)

3102704

Name change

27/10/89

Conceigao da Barra de Minas (MG)

Cassiterita (MG)

Minas Gerais (MG/31)

3115201

Name change

27/10/89

Presidente Bernardes (MG)

Calambau (MG)

Minas Gerais (MG/31)

3153103

Name change

07/01/89

Nova Uniao (MG)

Jose de Melo (MG)

Minas Gerais (MG/31)

3136603

Name change

16/12/87

Sao Gongalo do Rio Preto (MG)

Felisberto Caldeira (MG)

Minas Gerais (MG/31)

3125507

Name change

08/07/86

Santa Izabel do Para (PA)

Santa Isabel do Para (PA)

Para (PA/15)

1506500

Name change

01/01/14

Eldorado do Carajas (PA)

Eldorado dos Carajas (PA)

Para(PA/15)

1502954

Spelling change

17/10/13

Quixaba (PB)

Quixaba (PB)

Para^ba (PB/25)

2512606

Name change

21/09/15

Sao Vicente do Serido (PB)

Serido (PB)

Para^ba (PB/25)

2515401

Name change

03/07/13

Joca Claudino (PB)

Santarem (PB)

Para^ba (PB/25)

2513653

Name change

28/02/11

Tacima (PB)

Campo de Santana (PB)

Para^ba (PB/25)

2516409

Name change

14/04/10

Sao Domingos (PB)

Sao Domingos de Pombal (PB)

Para^ba (PB/25)

2513968

Name change

16/06/06

Sao Bentinho (PB)

Sao Bento de Pombal (PB)

Para^ba (PB/25)

2513927

Name change

10/12/97

Santa CecHia (PB)

Santa Cec^lia do Umbuzeiro (PB)

Para^ba (PB/25)

2513158

Name change

03/06/97

Riachao do Bacamarte (PB)

Assis Chateaubriand (PB)

Para^ba (PB/25)

2512754

Name change

12/05/97

Igaracy (PB)

Boqueirao dos Cochos (PB)

Para^ba (PB/25)

2502607

Name change

07/01/92

Vista Serrana (PB)

Desterro de Malta (PB)

Para^ba (PB/25)

2505501

Name change

27/12/91

Sao Joao do Rio do Peixe (PB)

Antenor Navarro (PB)

Para^ba (PB/25)

2500700

Name change

06/10/89

Alto Para^so (PR)

Vila Alta (PR)

Parana (PR/41)

4128625

Name change

19/02/04

Sao Manoel do Parana (PR)

Sao Manoel (PR)

Parana (PR/41)

4125555

Name change

05/05/93

Doutor Ulysses (PR)

Vila Branca (PR)

Parana (PR/41)

4128633

Name change

07/12/92

Tunas do Parana (PR)

Tunas (PR)

Parana (PR/41)

4127882

Name change

07/12/92

Goioere (PR)

Goio-Ere (PR)

Parana (PR/41)

4108601

Name change

09/12/88

Rosario do Iva^ (PR)

Rosario (PR)

Parana (PR/41)

4122651

Name change

06/08/87

Sao Jose das Palmeiras (PR)

Sao Jose (PR)

Parana (PR/41)

4125456

Name change

04/07/85

Altamira do Parana (PR)

Altamira (PR)

Parana (PR/41)

4100459

Name change

15/06/82

Nova Prata do Iguafu (PR)

Nova Prata (PR)

Parana (PR/41)

4117255

Name change

13/05/82

Sao Vicente Ferrer (PE)

Sao Vicente Ferrer (PE)

Pernambuco (PE/26)

2613800

Spelling change

01/09/16

Iguaracy (PE)

Iguaraci (PE)

Pernambuco (PE/26)

2606903

Name change

31/12/13

Belem do Sao Francisco (PE)

Belem de Sao Francisco (PE)

Pernambuco (PE/26)

2601607

Name change

02/09/09

Lagoa de Itaenga (PE)

Lagoa do Itaenga (PE)

Pernambuco (PE/26)

2608503

Name change

16/06/09

Cabo de Santo Agostinho (PE)

Cabo (PE)

Pernambuco (PE/26)

2602902

Name change

19/05/94

Moreilandia (PE)

S^tio dos Moreiras (PE)

Pernambuco (PE/26)

2614303

Name change

03/06/91

Jaboatao dos Guararapes (PE)

Jaboatao (PE)

Pernambuco (PE/26)

2607901

Name change

05/05/89

Santa Maria da Boa Vista (PE)

Caripos (PE)

Pernambuco (PE/26)

2612604

Name change

30/12/53

Sao Jose do Belmonte (PE)

Manissobal (PE)

Pernambuco (PE/26)

2613503

Name change

07/12/53

Inaja (PE)

Esp^rito Santo (PE)

Pernambuco (PE/26)

2607000

Name change

31/12/43

Macaparana (PE)

Macapa (PE)

Pernambuco (PE/26)

2609006

Name change

31/12/43

Petrolandia (PE)

Itaparica (PE)

Pernambuco (PE/26)

2611002

Name change

31/12/43

Sao Bento do Una (PE)

Sao Bento (PE)

Pernambuco (PE/26)

2613008

Name change

31/12/43

Sao Lourenfo da Mata (PE)

Sao Lourenfo(PE)

Pernambuco (PE/26)

2613701

Name change

31/12/43

Serrita (PE)

Serrinha (PE)

Pernambuco (PE/26)

2614006

Name change

31/12/43

Taquaritinga do Norte (PE)

Taquaritinga (PE)

Pernambuco (PE/26)

2615003

Name change

31/12/43

Carpina (PE)

Floresta dos Leoes (PE)

Pernambuco (PE/26)

2604007

Name change

09/12/38

Nova Santa Rita (PI)

Petronio Portela (PI)

Piau (PI/22)

2207959

Name change

21/05/97

Trajano de Moraes (RJ)

Trajano de Morais (RJ)

Rio de Janeiro (RJ/33)

3305901

Spelling change

30/11/16

Paraty (RJ)

Parati (RJ)

Rio de Janeiro (RJ/33)

3303807

Name change

04/04/08

Trajano de Moraes (RJ)

Trajano de Morais (RJ)

Rio de Janeiro (RJ/33)

3305901

Name change

31/07/07

Armafao dos Buzios (RJ)

Armafao de Buzios (RJ)

Rio de Janeiro (RJ/33)

3300233

Name change

10/11/97

Paty do Alferes (RJ)

Pati do Alferes (RJ)

Rio de Janeiro (RJ/33)

3303856

Name change

02/06/89

Campos dos Goytacazes (RJ)

Campos dos Goitacazes (RJ)

Rio de Janeiro (RJ/33)

3301009

Name change

24/10/88

Campo Grande (RN)

Augusto Severo (RN)

Rio Grande do Norte

(RN/24)

2401305

Name change

12/06/19

Serra Caiada (RN)

Presidente Juscelino (RN)

Rio Grande do Norte (RN/24)

2410306

Name change

25/02/14

Sao Miguel do Gostoso (RN)

Sao Miguel de Touros (RN)

Rio Grande do Norte (RN/24)

2412559

Name change

04/05/01

Parnamirim (RN)

Eduardo Gomes (RN)

Rio Grande do Norte (RN/24)

2403251

Name change

03/08/87

Restinga Seca (RS)

Restinga Seca (RS)

Rio Grande do Sul (RS/43)

4315503

Spelling change

13/05/16

Vespasiano Correa (RS)

Vespasiano Correa (RS)

Rio Grande do Sul (RS/43)

4322855

Spelling change

13/05/16

Westfalia (RS)

Westfalia (RS)

Rio Grande do Sul (RS/43)

4323770

Spelling change

13/05/16

Mafambara (RS)

Mafambara (RS)

Rio Grande do Sul (RS/43)

4311718

Spelling change

27/03/07

Sant'Ana do Livramento (RS)

Santana do Livramento (RS)

Rio Grande do Sul (RS/43)

4317103

Name change

25/10/06

Brochier (RS)

Brochier do Marata (RS)

Rio Grande do Sul (RS/43)

4302659

Name change

22/04/93

Itapua do Oeste (RO)

Jamari (RO)

Rondonia (RO/11)

1101104

Name change

24/10/97

Novo Horizonte do Oeste (RO)

Cacaieiros (RO)

Rondonia (RO/11)

1100502

Name change

11/01/94

Nova Mamore (RO)

Vila Nova do Mamore (RO)

Rondonia (RO/11)

1100338

Name change

17/12/93

Grao-Para (SC)

Grao Para (SC)

Santa Catarina (SC/42)

4206108

Name change

18/02/21

Lauro Muller (SC)

Lauro Muller (SC)

Santa Catarina (SC/42)

4209607

Spelling change

01/09/16

Sao Cristovao do Sul (SC)

Sao Cristovao do Sul (SC)

Santa Catarina (SC/42)

4216057

Spelling change

01/09/16

Balneario Pifarras (SC)

Pifarras (SC)

Santa Catarina (SC/42)

4212809

Name change

04/04/05

Presidente Castello Branco (SC)

Presidente Castelo Branco (SC)

Santa Catarina (SC/42)

4213906

Name change

22/12/03

Sao Miguel do Oeste (SC)

Sao Miguel D'Oeste (SC)

Santa Catarina (SC/42)

4217204

Name change

22/05/98

Sao Joao do Oeste (SC)

Sao Joao (SC)

Santa Catarina (SC/42)

4216255

Name change

06/10/92

Balneario Barra do Sul (SC)

Barra do Sul (SC)

Santa Catarina (SC/42)

4202057

Name change

17/05/92

Tunapolis (SC)

Tunas (SC)

Santa Catarina (SC/42)

4218756

Name change

28/06/89

Faxinal dos Guedes (SC)

Fachinal dos Guedes (SC)

Santa Catarina (SC/42)

4205308

Name change

24/03/86

Chavantes (SP)

Xavantes (SP)

Sao Paulo (SP/35)

3557204

Name change

11/06/19

Sao Luiz do Paraitinga (SP)

Sao Lu^s do Paraitinga (SP)

Sao Paulo (SP/35)

3550001

Spelling change

05/06/17

Biritiba Mirim (SP)

Biritiba-Mirim (SP)

Sao Paulo (SP/35)

3506607

Spelling change

01/09/16

Flonnea (SP)

Flonnia (SP)

Sao Paulo (SP/35)

3516101

Spelling change

01/09/16

Itaoca (SP)

Itaoca (SP)

Sao Paulo (SP/35)

3522158

Spelling change

01/09/16

Mogi Mirim (SP)

Moji Mirim (SP)

Sao Paulo (SP/35)

3530805

Name change

16/12/14

Embu das Artes (SP)

Embu (SP)

Sao Paulo (SP/35)

3515004

Name change

12/09/11

Mogi das Cruzes (SP)

Moji das Cruzes (SP)

Sao Paulo (SP/35)

3530607

Name change

12/04/04

Pirassununga (SP)

Pirafununga (SP)

Sao Paulo (SP/35)

3539301

Name change

08/09/99

Ipaussu (SP)

Ipaufu (SP)

Sao Paulo (SP/35)

3520905

Name change

01/10/90

Brodowski (SP)

Brodosqui (SP)

Sao Paulo (SP/35)

3507803

Name change

16/09/80

Riversul (SP)

Ribeirao Vermelho do Sul (SP)

Sao Paulo (SP/35)

3543501

Name change

16/04/80

Amparo do Sao Francisco (SE)

Amparo de Sao Francisco (SE)

Sergipe (SE/28)

2800100

Spelling change

14/07/20

Tabocao (TO)

Fortaleza do Tabocao (TO)

Tocantins (TO/17)

1708254

Name change

26/09/19

Sao Valerio (TO)

Sao Valerio da Natividade (TO)

Tocantins (TO/17)

1720499

Name change

29/04/09

Couto Magalhaes (TO)

Couto de Magalhaes (TO)

Tocantins (TO/17)

1706001

Spelling change

09/10/06

Palmeiras do Tocantins (TO)

Mosquito (TO)

Tocantins (TO/17)

1713809

Name change

02/04/98

Palmas (TO)

Taquarussu do Porto (TO)

Tocantins (TO/17)

1721000

Name change

01/01/90

1 Previously managed by the Ministry of Agriculture, Livestock and Food Supply (https://www.gov.br/agricultura/pt-br/internacional/english)

2 Often referred to as Center-South in the US. 

3 Also widely-known as the “Safrinha”, or little harvest, which has become the largest of the three in recent years. 

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