Brazil municipality | |
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[[File:{{{name}}}|250px|Municipal location within the State of [[{{{statelong}}}|{{{stateshort}}}]]]] | |
Coordinates: 0°N 0°E / 0°N 0°E | |
Country | Brazil |
State | [[{{{statelong}}}|{{{stateshort}}}]] |
Government | |
• Mayor | [1] |
Area | |
• Total | 0 km2 (0 sq mi) |
Elevation | 0 m (0 ft) |
{{{name}}} is a municipality in the Brazilian state of [[{{{statelong}}}|{{{stateshort}}}]]. It has an area of 0 square kilometres (0 sq mi). It has a [[{{{climate}}}]]. As of 2019 the estimated population was {{{lastpop}}}.
Geography
edit{{{name}}} is in the state of {{{stateshort}}}, Brazil.[2] It has an area of 0 square kilometres (0 sq mi) as of 2019.[1] The elevation above sea level is about 0 metres (0 ft).[2]
Climate
editThe Köppen climate type is {{{climatecode}}} : [[{{{climate}}}]].[3] The average annual temperature is 0 °C (32 °F).[4] The average annual rainfall is 0 millimetres (0 in).[5]
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Demographics
editThe population in the 2010 census was {{{2010pop}}}.[6] The estimated population as of {{{lastpopyear}}} was {{{lastpop}}}.[1] Population density as of 2010 was 0 inhabitants per square kilometre (0/sq mi).[1] As of 2010, 0% of the population had attended school between the ages of 6 and 14. Also as of 2010, the municipal Human Development Index was {{{HDI}}}. This compares to {{{1991HDI}}} in 1991 and {{{2000HDI}}} in 2000.[1]
On the 2010 census religion was reported as Catholic by {{{Catholic}}} people, Evangelical by {{{Evangelical}}} people and Animism by {{{Animism}}} people.[6]
In 2017, the average monthly salary of formal workers was {{{avsal-minwage}}} minimum wages. Formally employed people were {{{employpct}}}% of the total population. Households with monthly income of up to half a minimum wage per person represent {{{poorhouseholds}}}% of the population.[6] Estimates of GDP per capita:[1]
Health and sanitation
edit{{{sanitationpct}}}% of households have adequate sanitation, {{{treeroadpct}}}% of urban households are on public roads with afforestation and {{{goodroadpct}}}% of urban households are on public roads with adequate urbanization (presence of manhole, sidewalk, pavement and curb).[6] Annual hospitalizations due to diarrhea are {{{diarrheaper1000}}} per 1,000 inhabitants.[6] Deaths per 1,000 live births:[1]
Municipal finances
editCommitted municipal expenditure by year:[1]
Realized municipal revenue by year:[1]
References
editSources
edit- Brasil / /, IBGE, retrieved 2020-05-18
- "{{{name}}}", Geonames, retrieved 2020-05-18
- {{{name}}}, Brazilian Institute of Geography and Statistics, retrieved 2020-05-18
- "{{{name}}}, Brazil", Mindat, retrieved 2020-05-18
- NASA Earth Observations Data Set Index, NASA, retrieved 30 January 2016
- NASA Earth Observations: Rainfall (1 month - TRMM), NASA/Tropical Rainfall Monitoring Mission, retrieved 30 January 2016
{{Municipalities of {{{stateshort}}}}}
[[Category:Municipalities in {{{stateshort}}}]]
This template should always be substituted (i.e., use {{subst:Brazil municipality}} ). |
Usage
editThis template may be used to create a first cut article for a municipality in Brazil. It formats standard information about Brazil municipalities from standard sources to create the article text. See Draft:Engenheiro Beltrão for an example. After it has been saved, the article may be edited to add additional text such as history, available from other sources. You may also use the template to add the standard information to an existing stub-type article.
All parameters are required unless stated otherwise.
Parameters
edit{{subst:Brazil municipality | name = <!-- name of the municipality, e.g. Engenheiro Beltrão --> | lowername = <!-- name in lower case, no accents, spaces replaced by hyphens, e.g. engenheiro-beltrao --> | locatorname = <!-- name of locator map if not the same as name of municipality, e.g., Parana Municip EngenheiroBeltrao.svg --> | statelong = <!-- state of Brazil article name, e.g. Paraná (state) --> | stateshort = <!-- state name without link, e.g. Paraná --> | stateabbr = <!--- standard 2-digit state abbreviation, e.g. pr --> | geonamesid = <!-- geonames identifier, e.g. 3464219. Search for municipality name in https://www.geonames.org/ --> | mindatid = <!-- mindat identifier, e.g. 6318725, Search for town (not municipality) name in https://www.mindat.org/ --> | image_flag = <!-- If known. Not required --> | image_seal = <!-- If known. Not required --> | image_shield = <!-- If known. Not required --> | utcoffset = <!-- If known. Not required --> <!-- Data from https://www.mindat.org/feature-mindatid.html --> | latd = <!-- latitude decimal, e.g. -10.33917 --> | longd = <!-- longitude decimal, e.g. -62.89528 --> | climatecode = <!-- Köppen climate zone code --> | climate = <!-- Köppen climate zone name. You may have to adjust to link to the related Wikipedia article. --> <!-- Data from https://www.geonames.org/geonamesid/name.html --> | elevation = <!-- ca Meters --> <!-- Data from the Swedish wiki. You may have to search https://sv.wikipedia.org/ to locate the entry for the municipality The article name may be the municipality name or, e.g., name (kommun) --> |averagetemp = <!-- E.g. 27 from "Årsmedeltemperaturen i trakten är 27 °C." --> |averagerain = <!-- E.g. 2,024 from "Genomsnittlig årsnederbörd är 2 024 millimeter" --> |climatedata = <!-- leave blank. This is an array of 36 numbers in the {{klimatöversikt}} template. Paste in climate data after saving --> <!-- Data from https://www.ibge.gov.br/en/cities-and-states/stateabbr/lowername.html Note that Brazilian sources give numbers as, e.g. 12.345,67, where English usage is 12,345.67 --> |mayor = |demonym = |area = <!-- km2 --> |areaasof = <!-- year for which area is given --> |lastpop = <!-- population in last year --> |lastpopyear = <!-- Last year with population estimate --> |HDI = <!-- 2010 Human Development Index. Hover over the last point on the graph to get the 2010 value. --> |1991HDI = <!-- First point on the HDI graph --> |2000HDI = <!-- Middle point on the HDI graph --> |birthdata = <!-- Infant mortality: Death per live births separated by colon, e.g. 10.5 : 6.6 --> |birthyear = <!-- Infant mortality: Death years separated by colon, e.g. 2010 : 2017 --> |revenuedata = <!-- Realized revenue: Revenue values separated by colon, e.g. 1000260 : 2005666. Hover over points on the graph to get values. Note that revenue data is given in R$1000s, so change 22,456.50 to 22456500 --> |revenueyear = <!-- Revenue years separated by colon, e.g. 2010 : 2017 --> |expenddata = <!-- Committed expenditure: values separated by colon, e.g. 1000550 : 2003660. Hover over points on the graph to get values. Note that expenditure data is given in R$1000s, so change 22,456.50 to 22456500 --> |expendyear = <!-- Committed expenditure years separated by colon, e.g. 2010 : 2017 --> |gdpcapdata = <!-- GPD/capita values separated by colon, e.g. 1000 : 2000. Hover over points on the graph to get values. --> |gdpcapyear = <!-- GPD/capita years separated by colon, e.g. 2010 : 2017 --> <!-- Data from https://cidades.ibge.gov.br/brasil/stateabbr/lowername/panorama --> |2010pop = <!-- População no último censo [2010] --> |2010popdensity = <!-- Densidade demográfica [2010] --> |Catholic = <!-- População residente por religião. Hover over bar in chart to get number with this religion --> |Evangelical = <!-- Hover over bar in chart to get number with this religion --> |Animism = <!-- Hover over bar in chart to get number with this religion --> |avsal-minwage = <!-- Salário médio mensal dos trabalhadores formais --> |employpct = <!-- População ocupada (%) --> |poorhouseholds = <!-- Percentual da população com rendimento nominal mensal per capita de até 1/2 salário mínimo (%) --> |2010school6-14 = <!-- Educação: Taxa de escolarização de 6 a 14 anos de idade --> |diarrheaper1000 = <!-- Saúde: Internações por diarreia --> |sanitationpct = <!-- Território e Ambiente: Esgotamento sanitário adequado (%) --> |treeroadpct = <!-- Arborização de vias públicas --> |goodroadpct = <!-- Urbanização de vias públicas --> }}
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