Jundiboraí: Difference between revisions

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|population_census = 306,542,453
|population_census = 306,542,453
|population_census_year = 2022
|population_census_year = 2022
|population_density_km2 =  
|population_density_km2 = 27.9
|population_density_sq_mi =  
|population_density_sq_mi =  
|population_density_rank =  
|population_density_rank =  
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| metric first =  <!-- Any entry in this line will display metric first. Blank or remove this line for imperial first. --> yes
| metric first =  <!-- Any entry in this line will display metric first. Blank or remove this line for imperial first. --> yes
| single line  =  <!-- Any entry in this line will display metric and imperial units in the same cell. Leave blank or remove this line for separate table rows.--> yes
| single line  =  <!-- Any entry in this line will display metric and imperial units in the same cell. Leave blank or remove this line for separate table rows.--> yes
| location    =  <!-- Mandatory field, location the climate data was taken, usually an airport. --> São Benaus
| location    =  <!-- Mandatory field, location the climate data was taken, usually an airport. --> São Benaus (''As'')
| temperature colour =  <!-- Enter "pastel" for pastel temperature colours, "none" for no colours, remove this line for the standard colouring. -->
| temperature colour =  <!-- Enter "pastel" for pastel temperature colours, "none" for no colours, remove this line for the standard colouring. -->
<!-- Maximum Humidex -->
<!-- Maximum Humidex -->
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| metric first =  <!-- Any entry in this line will display metric first. Blank or remove this line for imperial first. --> yes
| metric first =  <!-- Any entry in this line will display metric first. Blank or remove this line for imperial first. --> yes
| single line  =  <!-- Any entry in this line will display metric and imperial units in the same cell. Leave blank or remove this line for separate table rows. --> yes
| single line  =  <!-- Any entry in this line will display metric and imperial units in the same cell. Leave blank or remove this line for separate table rows. --> yes
| location    =  <!-- Mandatory field, location the climate data was taken, usually an airport. --> Rio Fevereiro
| location    =  <!-- Mandatory field, location the climate data was taken, usually an airport. --> Rio Fevereiro (''Af'')
| temperature colour =  <!-- Enter "pastel" for pastel temperature colours, "none" for no colours, remove this line for the standard colouring. -->
| temperature colour =  <!-- Enter "pastel" for pastel temperature colours, "none" for no colours, remove this line for the standard colouring. -->
<!-- Maximum Humidex -->
<!-- Maximum Humidex -->
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| year high F =  | year high C =
| year high F =  | year high C =
<!-- Mean daily temperature -->
<!-- Mean daily temperature -->
| Jan mean F  =  | Jan mean C  =
| Jan mean F  =  | Jan mean C  = 31.3
| Feb mean F  =  | Feb mean C  =
| Feb mean F  =  | Feb mean C  = 32.5
| Mar mean F  =  | Mar mean C  =
| Mar mean F  =  | Mar mean C  = 30.8
| Apr mean F  =  | Apr mean C  =
| Apr mean F  =  | Apr mean C  = 29.1
| May mean F  =  | May mean C  =
| May mean F  =  | May mean C  = 28.0
| Jun mean F  =  | Jun mean C  =
| Jun mean F  =  | Jun mean C  = 27.9
| Jul mean F  =  | Jul mean C  =
| Jul mean F  =  | Jul mean C  = 26.9
| Aug mean F  =  | Aug mean C  =
| Aug mean F  =  | Aug mean C  = 27.9
| Sep mean F  =  | Sep mean C  =
| Sep mean F  =  | Sep mean C  = 29.0
| Oct mean F  =  | Oct mean C  =
| Oct mean F  =  | Oct mean C  = 30.6
| Nov mean F  =  | Nov mean C  =
| Nov mean F  =  | Nov mean C  = 31.2
| Dec mean F  =  | Dec mean C  =
| Dec mean F  =  | Dec mean C  = 31.9
| year mean F =  | year mean C =
| year mean F =  | year mean C =
<!-- Average low temperatures -->
<!-- Average low temperatures -->
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| May precipitation days  = 6.9
| May precipitation days  = 6.9
| Jun precipitation days  = 8.8
| Jun precipitation days  = 8.8
| Jul precipitation days  = 9.5
| Jul precipitation days  = 9.3
| Aug precipitation days  = 9.3
| Aug precipitation days  = 9.4
| Sep precipitation days  = 11.4
| Sep precipitation days  = 11.3
| Oct precipitation days  = 10.3
| Oct precipitation days  = 10.2
| Nov precipitation days  = 10.6
| Nov precipitation days  = 10.5
| Dec precipitation days  = 7.4
| Dec precipitation days  = 7.4
| year precipitation days =
| year precipitation days =
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| year uv =
| year uv =
}}<!-- Infobox ends -->
}}<!-- Infobox ends -->
{{Weather box    <!-- Infobox begins -->
| width        =  <!-- Width parameter for wikitable, default width=100%. Set width=auto to fit the table in the next available space automatically. --> width=auto
| collapsed    =  <!-- Any entry in this line will make the template initially collapsed. Leave blank or remove this line for uncollapsed. -->
| open        =  <!-- Any entry in this line will make the template permanently open, and remove the hide button. Remove this line for a collapsible table. --> yes
| metric first =  <!-- Any entry in this line will display metric first. Blank or remove this line for imperial first. --> yes
| single line  =  <!-- Any entry in this line will display metric and imperial units in the same cell. Leave blank or remove this line for separate table rows. --> yes
| location    =  <!-- Mandatory field, location the climate data was taken, usually an airport. --> San Gregorio de Cartagena (''Cfa'')
| temperature colour =  <!-- Enter "pastel" for pastel temperature colours, "none" for no colours, remove this line for the standard colouring. -->
<!-- Maximum Humidex -->
<!-- The humidex table can be used only if the source provides humidex values. As of July 2015, few if any countries other than Canada use the Humidex. -->
| Jan maximum humidex  =
| Feb maximum humidex  =
| Mar maximum humidex  =
| Apr maximum humidex  =
| May maximum humidex  =
| Jun maximum humidex  =
| Jul maximum humidex  =
| Aug maximum humidex  =
| Sep maximum humidex  =
| Oct maximum humidex  =
| Nov maximum humidex  =
| Dec maximum humidex  =
| year maximum humidex =
<!-- Record high temperatures -->
<!-- Note that record temperatures should only be used when the data period is of the greatest length possible. -->
| Jan record high F  =  | Jan record high C  =
| Feb record high F  =  | Feb record high C  =
| Mar record high F  =  | Mar record high C  =
| Apr record high F  =  | Apr record high C  =
| May record high F  =  | May record high C  =
| Jun record high F  =  | Jun record high C  =
| Jul record high F  =  | Jul record high C  =
| Aug record high F  =  | Aug record high C  =
| Sep record high F  =  | Sep record high C  =
| Oct record high F  =  | Oct record high C  =
| Nov record high F  =  | Nov record high C  =
| Dec record high F  =  | Dec record high C  =
| year record high F =  | year record high C =
<!-- Average high temperatures -->
| Jan high F  =  | Jan high C  = 27.2
| Feb high F  =  | Feb high C  = 31.3
| Mar high F  =  | Mar high C  = 28.4
| Apr high F  =  | Apr high C  = 23.1
| May high F  =  | May high C  = 22.2
| Jun high F  =  | Jun high C  = 17.3
| Jul high F  =  | Jul high C  = 15.4
| Aug high F  =  | Aug high C  = 18.1
| Sep high F  =  | Sep high C  = 19.2
| Oct high F  =  | Oct high C  = 20.3
| Nov high F  =  | Nov high C  = 22.6
| Dec high F  =  | Dec high C  = 26.1
| year high F =  | year high C =
<!-- Mean daily temperature -->
| Jan mean F  =  | Jan mean C  = 22.7
| Feb mean F  =  | Feb mean C  = 24.4
| Mar mean F  =  | Mar mean C  = 21.4
| Apr mean F  =  | Apr mean C  = 17.1
| May mean F  =  | May mean C  = 16.2
| Jun mean F  =  | Jun mean C  = 13.4
| Jul mean F  =  | Jul mean C  = 12.3
| Aug mean F  =  | Aug mean C  = 14.1
| Sep mean F  =  | Sep mean C  = 14.8
| Oct mean F  =  | Oct mean C  = 15.8
| Nov mean F  =  | Nov mean C  = 17.3
| Dec mean F  =  | Dec mean C  = 20.6
| year mean F =  | year mean C =
<!-- Average low temperatures -->
| Jan low F  =  | Jan low C  = 18.3
| Feb low F  =  | Feb low C  = 17.6
| Mar low F  =  | Mar low C  = 14.5
| Apr low F  =  | Apr low C  = 11.2
| May low F  =  | May low C  = 10.3
| Jun low F  =  | Jun low C  =  9.6
| Jul low F  =  | Jul low C  =  9.3
| Aug low F  =  | Aug low C  = 10.2
| Sep low F  =  | Sep low C  = 10.5
| Oct low F  =  | Oct low C  = 11.4
| Nov low F  =  | Nov low C  = 12.1
| Dec low F  =  | Dec low C  = 15.2
| year low F =  | year low C =
<!-- Record low temperatures -->
<!-- Note that record temperatures should only be used when the data period is of the greatest length possible. -->
| Jan record low F  =  | Jan record low C  =
| Feb record low F  =  | Feb record low C  =
| Mar record low F  =  | Mar record low C  =
| Apr record low F  =  | Apr record low C  =
| May record low F  =  | May record low C  =
| Jun record low F  =  | Jun record low C  =
| Jul record low F  =  | Jul record low C  =
| Aug record low F  =  | Aug record low C  =
| Sep record low F  =  | Sep record low C  =
| Oct record low F  =  | Oct record low C  =
| Nov record low F  =  | Nov record low C  =
| Dec record low F  =  | Dec record low C  =
| year record low F =  | year record low C =
<!-- Minimum wind chill -->
| Jan chill  =
| Feb chill  =
| Mar chill  =
| Apr chill  =
| May chill  =
| Jun chill  =
| Jul chill  =
| Aug chill  =
| Sep chill  =
| Oct chill  =
| Nov chill  =
| Dec chill  =
| year chill =
<!-- Total precipitation, this should include rain and snow. -->
| precipitation colour =  <!-- Enter "green" for green precipitation colours, "none" for no colours, remove this line for blue colouring. --> green
<!-- IMPORTANT: use only one unit type! -->
| Jan precipitation inch  =  | Jan precipitation cm  =  | Jan precipitation mm  = 91.3
| Feb precipitation inch  =  | Feb precipitation cm  =  | Feb precipitation mm  = 84.6
| Mar precipitation inch  =  | Mar precipitation cm  =  | Mar precipitation mm  = 79.5
| Apr precipitation inch  =  | Apr precipitation cm  =  | Apr precipitation mm  = 70.4
| May precipitation inch  =  | May precipitation cm  =  | May precipitation mm  = 91.7
| Jun precipitation inch  =  | Jun precipitation cm  =  | Jun precipitation mm  = 94.5
| Jul precipitation inch  =  | Jul precipitation cm  =  | Jul precipitation mm  = 99.8
| Aug precipitation inch  =  | Aug precipitation cm  =  | Aug precipitation mm  = 101.3
| Sep precipitation inch  =  | Sep precipitation cm  =  | Sep precipitation mm  = 126.2
| Oct precipitation inch  =  | Oct precipitation cm  =  | Oct precipitation mm  = 117.5
| Nov precipitation inch  =  | Nov precipitation cm  =  | Nov precipitation mm  = 103.2
| Dec precipitation inch  =  | Dec precipitation cm  =  | Dec precipitation mm  =  72.1
| year precipitation inch =  | year precipitation cm =  | year precipitation mm =
<!-- Rainfall -->
| rain colour  =  <!-- Enter "green" for green rainfall colours, "none" for no colours, remove this line for blue colouring. -->
<!-- IMPORTANT: use only one unit type! -->
| Jan rain inch  =  | Jan rain cm  =  | Jan rain mm  =
| Feb rain inch  =  | Feb rain cm  =  | Feb rain mm  =
| Mar rain inch  =  | Mar rain cm  =  | Mar rain mm  =
| Apr rain inch  =  | Apr rain cm  =  | Apr rain mm  =
| May rain inch  =  | May rain cm  =  | May rain mm  =
| Jun rain inch  =  | Jun rain cm  =  | Jun rain mm  =
| Jul rain inch  =  | Jul rain cm  =  | Jul rain mm  =
| Aug rain inch  =  | Aug rain cm  =  | Aug rain mm  =
| Sep rain inch  =  | Sep rain cm  =  | Sep rain mm  =
| Oct rain inch  =  | Oct rain cm  =  | Oct rain mm  =
| Nov rain inch  =  | Nov rain cm  =  | Nov rain mm  =
| Dec rain inch  =  | Dec rain cm  =  | Dec rain mm  =
| year rain inch =  | year rain cm =  | year rain mm =
<!-- Snowfall -->
| snow colour  =  <!-- Enter "green" for green snowfall colours, "none" for no colours, remove this line for blue colouring. -->
<!-- IMPORTANT: Do NOT use snow depth information in the snowfall area! These are 2 different kinds of data! -->
<!-- IMPORTANT: use only one unit type! -->
| Jan snow inch  =  | Jan snow cm  =  | Jan snow mm  =
| Feb snow inch  =  | Feb snow cm  =  | Feb snow mm  =
| Mar snow inch  =  | Mar snow cm  =  | Mar snow mm  =
| Apr snow inch  =  | Apr snow cm  =  | Apr snow mm  =
| May snow inch  =  | May snow cm  =  | May snow mm  =
| Jun snow inch  =  | Jun snow cm  =  | Jun snow mm  =
| Jul snow inch  =  | Jul snow cm  =  | Jul snow mm  =
| Aug snow inch  =  | Aug snow cm  =  | Aug snow mm  =
| Sep snow inch  =  | Sep snow cm  =  | Sep snow mm  =
| Oct snow inch  =  | Oct snow cm  =  | Oct snow mm  =
| Nov snow inch  =  | Nov snow cm  =  | Nov snow mm  =
| Dec snow inch  =  | Dec snow cm  =  | Dec snow mm  =
| year snow inch =  | year snow cm =  | year snow mm =
<!-- Snow depth -->
| snow depth colour    =  <!-- Enter "green" for green snowfall colours, "none" for no colours, remove this line for blue colouring. -->
<!-- IMPORTANT: use only one unit type! -->
<!-- IMPORTANT: Do NOT use snowfall information in the snow depth area! These are 2 different kinds of data! -->
| Jan snow depth inch  =  | Jan snow depth cm  =  | Jan snow depth mm  = 
| Feb snow depth inch  =  | Feb snow depth cm  =  | Feb snow depth mm  = 
| Mar snow depth inch  =  | Mar snow depth cm  =  | Mar snow depth mm  = 
| Apr snow depth inch  =  | Apr snow depth cm  =  | Apr snow depth mm  = 
| May snow depth inch  =  | May snow depth cm  =  | May snow depth mm  = 
| Jun snow depth inch  =  | Jun snow depth cm  =  | Jun snow depth mm  = 
| Jul snow depth inch  =  | Jul snow depth cm  =  | Jul snow depth mm  = 
| Aug snow depth inch  =  | Aug snow depth cm  =  | Aug snow depth mm  = 
| Sep snow depth inch  =  | Sep snow depth cm  =  | Sep snow depth mm  = 
| Oct snow depth inch  =  | Oct snow depth cm  =  | Oct snow depth mm  = 
| Nov snow depth inch  =  | Nov snow depth cm  =  | Nov snow depth mm  = 
| Dec snow depth inch  =  | Dec snow depth cm  =  | Dec snow depth mm  = 
| year snow depth inch =  | year snow depth cm =  | year snow depth mm = 
<!-- Average number of precipitation days -->
| unit precipitation days =  <!-- If entering the average number of days, then the unit requirement should be used, because this varies between countries. E.g. 0.01 in, 0.2 mm. -->
| precip days colour      =  <!-- Enter "green" for green colours, "pastel" for pastel colours, "none" for no colours, remove this line for blue colouring. Affects rain and snow days as well -->
| Jan precipitation days  =
| Feb precipitation days  =
| Mar precipitation days  =
| Apr precipitation days  =
| May precipitation days  =
| Jun precipitation days  =
| Jul precipitation days  =
| Aug precipitation days  =
| Sep precipitation days  =
| Oct precipitation days  =
| Nov precipitation days  =
| Dec precipitation days  =
| year precipitation days =
<!-- Average number of rainy days -->
| unit rain days =  <!-- If entering the average number of days, then the unit requirement should be used, because this varies between countries. E.g. 0.01 in, 0.2 mm. -->
| Jan rain days  =
| Feb rain days  =
| Mar rain days  =
| Apr rain days  =
| May rain days  =
| Jun rain days  =
| Jul rain days  =
| Aug rain days  =
| Sep rain days  =
| Oct rain days  =
| Nov rain days  =
| Dec rain days  =
| year rain days =
<!-- Average number of snowy days -->
| unit snow days =  <!-- If entering the average number of days, then the unit requirement should be used, because this varies between countries. E.g. 0.1 in, 0.2 cm. -->
| Jan snow days  =
| Feb snow days  =
| Mar snow days  =
| Apr snow days  =
| May snow days  =
| Jun snow days  =
| Jul snow days  =
| Aug snow days  =
| Sep snow days  =
| Oct snow days  =
| Nov snow days  =
| Dec snow days  =
| year snow days =
<!-- Average daily % humidity -->
<!-- If entering the average daily % humidity, then the humidex table should be used. -->
| humidity colour =  <!-- Enter "green" for green humidity colors, "pastel" for pastel humidity colours, "none" for no colours, remove this line for blue coloring. Affects afternoon % humidity as well -->
| time day        =  <!-- The time of day the humidity was measured at. Affects afternoon % humidity as well -->
| daily          =  <!-- Enter "Y" if the humidity is for the entire day. Affects afternoon % humidity as well -->
| Jan humidity    = 89
| Feb humidity    = 87
| Mar humidity    = 84
| Apr humidity    = 81
| May humidity    = 78
| Jun humidity    = 75
| Jul humidity    = 72
| Aug humidity    = 75
| Sep humidity    = 78
| Oct humidity    = 83
| Nov humidity    = 86
| Dec humidity    = 89
| year humidity  =
<!-- Average afternoon % humidity -->
<!-- If entering the average afternoon % humidity, then the average daily % humidity table should be used. -->
| Jan afthumidity    =
| Feb afthumidity    =
| Mar afthumidity    =
| Apr afthumidity    =
| May afthumidity    =
| Jun afthumidity    =
| Jul afthumidity    =
| Aug afthumidity    =
| Sep afthumidity    =
| Oct afthumidity    =
| Nov afthumidity    =
| Dec afthumidity    =
| year afthumidity  =
<!-- Average monthly sunshine hours, monthly totals are preferred, and will produce colours, but percentages are accepted. -->
| Jan sun  =
| Feb sun  =  <!-- For February only if the source gives daily hours, please multiply by 28.25, not 28 -->
| Mar sun  =
| Apr sun  =
| May sun  =
| Jun sun  =
| Jul sun  =
| Aug sun  =
| Sep sun  =
| Oct sun  =
| Nov sun  =
| Dec sun  =
| year sun =
<!-- Average daily sunshine hours. Use this if the source shows daily sunshine hours. -->
| Jand sun  =
| Febd sun  =
| Mard sun  =
| Aprd sun  =
| Mayd sun  =
| Jund sun  =
| Juld sun  =
| Augd sun  =
| Sepd sun  =
| Octd sun  =
| Novd sun  =
| Decd sun  =
| yeard sun =
<!-- Average daylight hours, including cloudy hours. -->
| Jan light =
| Feb light =
| Mar light =
| Apr light =
| May light =
| Jun light =
| Jul light =
| Aug light =
| Sep light =
| Oct light =
| Nov light =
| Dec light =
| year light=
<!-- Average percent of possible sunshine. Number of daylight hours already factored into this number. Note that since this is possible sunshine, nighttime hours should not be included in this calculation. Will produce colours. -->
| Jan percentsun  =
| Feb percentsun  =
| Mar percentsun  =
| Apr percentsun  =
| May percentsun  =
| Jun percentsun  =
| Jul percentsun  =
| Aug percentsun  =
| Sep percentsun  =
| Oct percentsun  =
| Nov percentsun  =
| Dec percentsun  =
| year percentsun =
<!-- Average daily UV index -->
| Jan uv  =
| Feb uv  =
| Mar uv  =
| Apr uv  =
| May uv  =
| Jun uv  =
| Jul uv  =
| Aug uv  =
| Sep uv  =
| Oct uv  =
| Nov uv  =
| Dec uv  =
| year uv =
}}<!-- Infobox ends -->
==Economy==
The jundiboraense economy is a low income state-planned economy in which the public sector comprises almost all the sectors of the economy. The State controls the economy through a program of voluntary collectivization. The private sector exists and comprises a caste of self-employers (''Empregados por conta própria'' or ''ijeheguiete omba’apo haguã''). Most of the population works in the agricultural sector, taking advantage that the soils are very fertile in this part of the world.
Coffee, cocoa beans, bananas, sugar cane and tropical fruits are the most important sectors, together with the cattle-farming (cow, pork and birds).

Latest revision as of 17:22, 2 October 2024

People's Republic of Jundiboraí
República Popular de Jundiboraí
Jundiboraí Tekoha Tetã
Flag of Jundiboraí
Flag
of Jundiboraí
Coat of arms
Jundiboraí.png
CapitalSão Benaus
15° 47′ 38.0004″ S 47° 52′ 58.0008″ W
Largest cityAnacapá
Official languagesPortuguese
French
Spanish
Guarani
Minority recognized languagesArawak
Quechua
Dutch
Romani
Demonym(s)Jundiboraense
GovernmentFederal presidential constitutional republic
LegislaturePeople's National Congress
Area
• Total
10,980,756 km2 (4,239,694 sq mi)
Population
• 2022 census
306,542,453
• Density
27.9/km2 (72.3/sq mi)
Gini0.275
low
HDIDecrease 0.741
high
CurrencyJundiboraí Peso Fuerte (JPF)
Time zoneUTC-4
• Summer (DST)
UTC-5
Driving sideright
Calling code+955

Jundiboraí officially the People's Republic of Jundiboraí is the largest country in South America, which borders the Guyanas and Suriname by the north, Bolivia, Argentina and Uruguay by the south, Peru, by the west and northwest respectively. By the east, it borders the Atlantic Ocean. It's territory is covered by dense kilometres of jungle, the Amazon forest, and the most important rivers of the continent are part of the country. Its capital is São Benaus.

Geography

Most of its territory is covered by a dense jungle, with high trees and many other flora and fauna.

Climate

Because of the presence of a winter dry season, Jundiboraí climate is classified as tropical savannah climate, with two seasons as forementioned: the dry season comprises from late April to mid-August, a period in which the rains are still possible, but lasting very short periods. However, many other zones have other types of climate like equatorial, humid continental and subtropical depending on the location and the elevation.

Climate data for São Benaus (As)
Month Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year
Average high °C (°F) 43.9
(111.0) 		42.8
(109.0) 		42.1
(107.8) 		37.8
(100.0) 		35.3
(95.5) 		34.2
(93.6) 		31.5
(88.7) 		33.8
(92.8) 		36.7
(98.1) 		39.6
(103.3) 		42.3
(108.1) 		43.8
(110.8) 		38.7
(101.6)
Daily mean °C (°F) 36.9
(98.4) 		36.2
(97.2) 		35.8
(96.4) 		33.5
(92.3) 		32.0
(89.6) 		31.3
(88.3) 		29.8
(85.6) 		31.5
(88.7) 		33.2
(91.8) 		34.7
(94.5) 		36.1
(97.0) 		36.8
(98.2) 		34.0
(93.2)
Average low °C (°F) 30.0
(86.0) 		29.6
(85.3) 		29.5
(85.1) 		29.2
(84.6) 		28.7
(83.7) 		28.4
(83.1) 		28.1
(82.6) 		29.2
(84.6) 		29.7
(85.5) 		29.8
(85.6) 		29.9
(85.8) 		29.9
(85.8) 		29.3
(84.8)
Average precipitation mm (inches) 135.6
(5.34) 		118.9
(4.68) 		111.4
(4.39) 		88.7
(3.49) 		65.2
(2.57) 		59.5
(2.34) 		46.8
(1.84) 		69.9
(2.75) 		94.3
(3.71) 		147.6
(5.81) 		180.5
(7.11) 		131.4
(5.17) 		1,249.8
(49.2)
Average rainy days 14.7 13.6 13.5 11.6 9.1 6.6 5.3 5.8 8.1 11.6 16.9 15.4 132.2
Average relative humidity (%) 69 68 68 67 69 66 66 73 72 73 76 71 70
Climate data for Rio Fevereiro (Af)
Month Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year
Average high °C (°F) 36.1
(97.0) 		38.2
(100.8) 		36.4
(97.5) 		33.3
(91.9) 		31.0
(87.8) 		30.8
(87.4) 		30.3
(86.5) 		31.4
(88.5) 		32.8
(91.0) 		35.5
(95.9) 		36.6
(97.9) 		37.7
(99.9) 		34.2
(93.5)
Daily mean °C (°F) 31.3
(88.3) 		32.5
(90.5) 		30.8
(87.4) 		29.1
(84.4) 		28.0
(82.4) 		27.9
(82.2) 		26.9
(80.4) 		27.9
(82.2) 		29.0
(84.2) 		30.6
(87.1) 		31.2
(88.2) 		31.9
(89.4) 		29.8
(85.6)
Average low °C (°F) 26.5
(79.7) 		26.8
(80.2) 		25.3
(77.5) 		25.0
(77.0) 		25.1
(77.2) 		25.0
(77.0) 		23.6
(74.5) 		24.5
(76.1) 		25.3
(77.5) 		25.7
(78.3) 		25.8
(78.4) 		26.2
(79.2) 		25.4
(77.7)
Average precipitation mm (inches) 135.8
(5.35) 		114.7
(4.52) 		103.6
(4.08) 		118.5
(4.67) 		105.6
(4.16) 		143.9
(5.67) 		156.3
(6.15) 		211.5
(8.33) 		247.9
(9.76) 		230.6
(9.08) 		227.3
(8.95) 		181.9
(7.16) 		1,977.6
(77.88)
Average precipitation days 6.5 5.8 5.7 9.8 6.9 8.8 9.3 9.4 11.3 10.2 10.5 7.4 101.6
Average relative humidity (%) 88 83 81 79 77 72 69 74 79 81 86 89 80
Climate data for San Gregorio de Cartagena (Cfa)
Month Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year
Average high °C (°F) 27.2
(81.0) 		31.3
(88.3) 		28.4
(83.1) 		23.1
(73.6) 		22.2
(72.0) 		17.3
(63.1) 		15.4
(59.7) 		18.1
(64.6) 		19.2
(66.6) 		20.3
(68.5) 		22.6
(72.7) 		26.1
(79.0) 		22.6
(72.7)
Daily mean °C (°F) 22.7
(72.9) 		24.4
(75.9) 		21.4
(70.5) 		17.1
(62.8) 		16.2
(61.2) 		13.4
(56.1) 		12.3
(54.1) 		14.1
(57.4) 		14.8
(58.6) 		15.8
(60.4) 		17.3
(63.1) 		20.6
(69.1) 		17.5
(63.5)
Average low °C (°F) 18.3
(64.9) 		17.6
(63.7) 		14.5
(58.1) 		11.2
(52.2) 		10.3
(50.5) 		9.6
(49.3) 		9.3
(48.7) 		10.2
(50.4) 		10.5
(50.9) 		11.4
(52.5) 		12.1
(53.8) 		15.2
(59.4) 		12.5
(54.5)
Average precipitation mm (inches) 91.3
(3.59) 		84.6
(3.33) 		79.5
(3.13) 		70.4
(2.77) 		91.7
(3.61) 		94.5
(3.72) 		99.8
(3.93) 		101.3
(3.99) 		126.2
(4.97) 		117.5
(4.63) 		103.2
(4.06) 		72.1
(2.84) 		1,132.1
(44.57)
Average relative humidity (%) 89 87 84 81 78 75 72 75 78 83 86 89 81

Economy

The jundiboraense economy is a low income state-planned economy in which the public sector comprises almost all the sectors of the economy. The State controls the economy through a program of voluntary collectivization. The private sector exists and comprises a caste of self-employers (Empregados por conta própria or ijeheguiete omba’apo haguã). Most of the population works in the agricultural sector, taking advantage that the soils are very fertile in this part of the world. Coffee, cocoa beans, bananas, sugar cane and tropical fruits are the most important sectors, together with the cattle-farming (cow, pork and birds).

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